CN112202742A - Data processing method of rolling mill equipment based on 5G network and related equipment - Google Patents
Data processing method of rolling mill equipment based on 5G network and related equipment Download PDFInfo
- Publication number
- CN112202742A CN112202742A CN202011006432.5A CN202011006432A CN112202742A CN 112202742 A CN112202742 A CN 112202742A CN 202011006432 A CN202011006432 A CN 202011006432A CN 112202742 A CN112202742 A CN 112202742A
- Authority
- CN
- China
- Prior art keywords
- data
- internet
- rolling mill
- vibration data
- network
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000005096 rolling process Methods 0.000 title claims abstract description 109
- 238000003672 processing method Methods 0.000 title claims abstract description 23
- 230000006854 communication Effects 0.000 claims abstract description 87
- 230000005540 biological transmission Effects 0.000 claims abstract description 84
- 238000004891 communication Methods 0.000 claims abstract description 83
- 238000012545 processing Methods 0.000 claims abstract description 54
- 238000006243 chemical reaction Methods 0.000 claims abstract description 13
- 238000005070 sampling Methods 0.000 claims description 51
- 238000011084 recovery Methods 0.000 claims description 13
- 230000006978 adaptation Effects 0.000 claims description 8
- 238000012163 sequencing technique Methods 0.000 claims description 6
- 230000001960 triggered effect Effects 0.000 claims description 6
- 238000012795 verification Methods 0.000 claims description 5
- 238000004590 computer program Methods 0.000 claims 1
- 238000004458 analytical method Methods 0.000 abstract description 14
- 238000000034 method Methods 0.000 description 12
- 238000010586 diagram Methods 0.000 description 7
- 238000012544 monitoring process Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 4
- 238000007726 management method Methods 0.000 description 4
- 230000006835 compression Effects 0.000 description 3
- 238000007906 compression Methods 0.000 description 3
- 238000013461 design Methods 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 3
- 238000013500 data storage Methods 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002085 persistent effect Effects 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/08—Protocols for interworking; Protocol conversion
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/22—Parsing or analysis of headers
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/06—Optimizing the usage of the radio link, e.g. header compression, information sizing, discarding information
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Security & Cryptography (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention relates to the technical field of data processing, and discloses a data processing method of rolling mill equipment based on a 5G network and related equipment, wherein high-frequency vibration data generated by the rolling mill equipment during working is acquired through an Internet of things gateway, the vibration data is converted through a preset high-frequency vibration data acquisition communication protocol developed based on the 5G network to obtain block data with continuous time domains, a unique identification code is set for the block data, and the block data and the unique identification code are sent to an Internet of things platform for storage when a data transmission instruction is received, so that the conversion of a vibration data communication protocol is realized by deploying an embedded vibration data protocol analysis at the Internet of things gateway for the rolling mill equipment under the 5G network environment, and the transmission of the continuous high-frequency vibration data to the Internet of things platform is realized.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a data processing method of rolling mill equipment based on a 5G network and related equipment.
Background
At present, vibration state monitoring of rolling mill equipment in the steel industry is basically in a local acquisition and local analysis mode, cloud analysis also exists, the cloud analysis is mainly based on a general internet of things communication protocol to store monitored equipment vibration data into an analysis system for diagnosis and analysis, a transmission protocol of the cloud analysis is mainly a transmission protocol designed aiming at the data characteristics of mass and low-frequency internet of things equipment, the design of the protocol also limits that the monitoring on the equipment can only be fixed-point fixed-frequency or low-frequency vibration monitoring, and the monitoring on non-fixed-frequency or high-frequency cannot be realized, and the defects are as follows:
firstly, the single-point continuous data acquisition frequency of the general protocol of the internet of things cannot support a vibration data acquisition (generally above 10 kHz) scene;
secondly, the standard protocol format of the internet of things (k, v, t) -JSON generates a large amount of redundant information under the condition of fixed sampling frequency.
Disclosure of Invention
The invention mainly aims to solve the technical problem that high-frequency vibration data of a rolling mill cannot be acquired and transmitted and cloud diagnosis and analysis cannot be performed through the Internet of things technology due to the specific design of a low-frequency transmission protocol in the existing rolling mill equipment vibration monitoring scheme.
The invention provides a data processing method of rolling mill equipment based on a 5G network, which comprises the following steps:
acquiring vibration data generated by the rolling mill equipment during working through an internet of things gateway, wherein the vibration data is high-frequency vibration data;
converting the vibration data through a preset high-frequency vibration data acquisition communication protocol to obtain block data with continuous time domains, and setting a unique identification code for the block data, wherein the high-frequency vibration data acquisition communication protocol is a data transmission protocol developed based on a 5G network;
and when a data transmission instruction is received, the block data and the unique identification code are sent to an Internet of things platform for storage.
Optionally, in a first implementation manner of the first aspect of the present invention, the acquiring, by the gateway, vibration data generated by the rolling mill during operation includes:
arranging at least one vibration sensor which is mutually associated through an IOT sensor network on the rolling mill equipment, reading high-frequency vibration data of the rolling mill equipment in real time and sending the high-frequency vibration data to an Internet of things gateway;
and reading the high-frequency vibration data received in the Internet of things gateway, and sequencing the high-frequency vibration data according to the read time sequence to form vibration data.
Optionally, in a second implementation manner of the first aspect of the present invention, the converting the vibration data by using a preset high-frequency vibration data acquisition communication protocol to obtain time-domain consecutive block data, and setting a unique identification code for the block data includes:
extracting a data transmission format configured in the high-frequency vibration data acquisition communication protocol;
extracting a data packet KEY, sampling start time, sampling frequency and data content in the vibration data;
compressing the vibration data according to the data packet KEY, the sampling start time and the parameter sequence of the sampling frequency to form block data of continuous time periods;
and configuring a unique identification code for the block data.
Optionally, in a third implementation manner of the first aspect of the present invention, the data transmission format is a JSON standard format, and the compressing the vibration data according to the data transmission format and the parameter sequence of the data packet KEY, the sampling start time, and the sampling frequency to form block data of a continuous time period includes:
based on the standardized lightweight data format of JSON configured in the standard format, the vibration data is coded in a format exchange mode to obtain coded data;
merging streaming data parts belonging to vibration waveforms in the coded data, and connecting the data packets KEY, the sampling start time and the sampling frequency in series according to a time sequence by taking the data packets KEY, the sampling start time and the sampling frequency as communication packet headers to obtain block data of continuous time periods.
Optionally, in a fourth implementation manner of the first aspect of the present invention, the sending, when receiving the data transmission instruction, the block data and the unique identifier code to the internet of things platform for storage includes:
when a data transmission instruction is received, selecting a corresponding data transmission mechanism according to the data transmission instruction, wherein the data transmission mechanism comprises a timing task mechanism and a trigger task mechanism;
if the data transmission mechanism is a timing task type mechanism, detecting whether timing time is reached; if the data arrives, the block data and the unique identification code are sent to an Internet of things platform for recovery processing, and the recovered data are stored;
if the data transmission mechanism is a triggered task mechanism, detecting whether data synchronization operation exists; and if the data exists, the block data and the unique identification code are sent to the Internet of things platform for recovery processing, and the recovered data is stored.
Optionally, in a fifth implementation manner of the first aspect of the present invention, the sending the block data and the unique code to an internet of things platform for recovery processing, and storing the recovered data includes:
sending the unique identification code of the block data to an Internet of things platform;
inquiring a protocol decoding rule corresponding to the unique identification code based on a soft protocol adaptation service;
receiving the block data, and decompressing based on the protocol decoding rule to obtain data content;
and verifying the data content according to the high-frequency vibration data acquisition communication protocol, and storing the recovered data after the verification is passed.
The second aspect of the present invention provides a data processing apparatus for a rolling mill facility based on a 5G network, the data processing apparatus for a rolling mill facility based on a 5G network comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring vibration data generated by the rolling mill equipment during working through an internet of things gateway, and the vibration data is high-frequency vibration data;
the conversion module is used for converting the vibration data through a preset high-frequency vibration data acquisition communication protocol to obtain block data with continuous time domains and setting a unique identification code for the block data, wherein the high-frequency vibration data acquisition communication protocol is a data transmission protocol based on development;
and the synchronization module is used for sending the block data and the unique identification code to the Internet of things platform for storage when receiving a data transmission instruction.
Optionally, in a first implementation manner of the second aspect of the present invention, the acquisition module includes:
the reading unit is used for arranging at least one vibration sensor which is mutually associated through an IOT (input/output) sensor network on the rolling mill equipment, reading high-frequency vibration data of the rolling mill equipment in real time and sending the high-frequency vibration data to the IOT gateway;
and the sequencing unit is used for reading the high-frequency vibration data received in the Internet of things gateway and sequencing the high-frequency vibration data according to the read time sequence to form vibration data.
Optionally, in a second implementation manner of the second aspect of the present invention, the conversion module includes:
the extraction unit is used for extracting a data transmission format configured in the high-frequency vibration data acquisition communication protocol; extracting a data packet KEY, sampling start time, sampling frequency and data content in the vibration data;
the compression unit is used for compressing the vibration data according to the data transmission format and the parameter sequence of the data packet KEY, the sampling start time and the sampling frequency to form block data of continuous time periods;
and the configuration unit is used for configuring the unique identification code for the block data.
Optionally, in a third implementation manner of the second aspect of the present invention, the compression unit is specifically configured to:
based on the standardized lightweight data format of JSON configured in the standard format, the vibration data is coded in a format exchange mode to obtain coded data;
merging streaming data parts belonging to vibration waveforms in the coded data, and connecting the data packets KEY, the sampling start time and the sampling frequency in series according to a time sequence by taking the data packets KEY, the sampling start time and the sampling frequency as communication packet headers to obtain block data of continuous time periods.
Optionally, in a fourth implementation manner of the second aspect of the present invention, the synchronization module includes:
the device comprises a selection unit, a data transmission unit and a processing unit, wherein the selection unit is used for selecting a corresponding data transmission mechanism according to a data transmission instruction when the data transmission instruction is received, and the data transmission mechanism comprises a timing task mechanism and a trigger task mechanism;
the synchronization unit is used for detecting whether the timing time is reached or not when the data transmission mechanism is a timing task type mechanism; if the data arrives, the block data and the unique identification code are sent to an Internet of things platform for recovery processing, and the recovered data are stored; when the data transmission mechanism is a triggered task mechanism, detecting whether data synchronization operation exists or not; and if the data exists, the block data and the unique identification code are sent to the Internet of things platform for recovery processing, and the recovered data is stored.
Optionally, in a fifth implementation manner of the second aspect of the present invention, the synchronization unit is specifically configured to:
sending the unique identification code of the block data to an Internet of things platform;
inquiring a protocol decoding rule corresponding to the unique identification code based on a soft protocol adaptation service;
receiving the block data, and decompressing based on the protocol decoding rule to obtain data content;
and verifying the data content according to the high-frequency vibration data acquisition communication protocol, and storing the recovered data after the verification is passed.
A third aspect of the present invention provides a data processing apparatus of a rolling mill apparatus based on a 5G network, the data processing apparatus of the rolling mill apparatus including: the system comprises an Internet of things gateway, at least one vibration sensor, middleware and an Internet of things platform, wherein the at least one vibration sensor is in communication connection with the Internet of things gateway and used for reading high-frequency vibration data of the rolling mill equipment in real time;
the middleware is used for acquiring vibration data generated by the rolling mill equipment during working from an Internet of things gateway; converting the vibration data through a preset high-frequency vibration data acquisition communication protocol to obtain block data with continuous time domains, and setting a unique identification code for the block data, wherein the vibration data is high-frequency vibration data, and the high-frequency vibration data acquisition communication protocol is a data transmission protocol developed based on a 5G network; sending the block data and the unique identification code to an Internet of things platform;
and the Internet of things platform is used for verifying and decompressing the block data by using a soft protocol adaptation service when receiving a data transmission instruction sent by the middleware, and storing the pressurized data.
A third aspect of the present invention provides a data processing apparatus for a rolling mill facility based on a 5G network, comprising: a memory having instructions stored therein and at least one processor, the memory and the at least one processor interconnected by a line; the at least one processor calls the instructions in the memory to cause the data processing device of the 5G network-based rolling mill plant to perform the data processing method of the 5G network-based rolling mill plant described above.
A fourth aspect of the present invention provides a computer-readable storage medium having stored therein instructions, which when run on a computer, cause the computer to execute the above-described data processing method of a 5G network-based rolling mill facility.
According to the technical scheme, high-frequency vibration data generated when the rolling mill equipment works are obtained through an internet of things gateway, the vibration data are converted through a preset high-frequency vibration data acquisition communication protocol to obtain block data with continuous time domains, a unique identification code is set for the block data, the block data and the unique identification code are sent to an internet of things platform to be stored when a data transmission instruction is received, the sampling data are packaged based on the high-frequency vibration data acquisition communication protocol to form the unique code, communication with the internet of things platform is completed, and identification and management work in the communication process is simplified.
Furthermore, the rolling mill equipment can also realize the conversion of a vibration data communication protocol by deploying embedded vibration data protocol analysis in the gateway of the Internet of things under the 5G network environment, so that the transmission of continuous high-frequency vibration data to the platform of the Internet of things is realized.
Drawings
FIG. 1 is a flow chart of an embodiment of a data processing method of a rolling mill facility based on a 5G network in the embodiment of the invention;
FIG. 2 is a flow chart of a data processing method of a rolling mill facility based on a 5G network according to a second embodiment of the present invention;
fig. 3 is a schematic diagram of an application architecture of the internet of things in the embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a JSON communication packet in the embodiment of the present invention;
FIG. 5 is a schematic diagram of an embodiment of a data processing device of a rolling mill facility based on a 5G network in the embodiment of the present invention;
FIG. 6 is a schematic diagram of another embodiment of a data processing device of a rolling mill facility based on a 5G network in the embodiment of the invention;
FIG. 7 is a schematic diagram of an embodiment of a data processing device of a rolling mill facility based on a 5G network in the embodiment of the present invention
Fig. 8 is a schematic diagram of another embodiment of the data processing device of the rolling mill device based on the 5G network in the embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a data processing method of rolling mill equipment based on a 5G network and related equipment, which are characterized in that high-frequency vibration data generated by the rolling mill equipment during working are obtained through an Internet of things gateway, a communication protocol is acquired through preset high-frequency vibration data, the vibration data are converted to obtain block data with continuous time domains, unique identification codes are set for the block data, and the block data and the unique identification codes are sent to an Internet of things platform for storage when a data transmission instruction is received, so that the conversion of a vibration data communication protocol is realized by deploying embedded vibration data protocol analysis in the Internet of things gateway for the rolling mill equipment under the 5G network environment, and the transmission of the continuous high-frequency vibration data to the Internet of things platform is realized.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
For convenience of understanding, a specific flow of an embodiment of the present invention is described below, and referring to fig. 1, an embodiment of a data processing method for a rolling mill facility based on a 5G network in an embodiment of the present invention includes:
101. acquiring vibration data generated by rolling mill equipment during working through an internet of things gateway;
it is understood that the execution subject of the present invention may be a data processing device of a rolling mill apparatus, and may also be a terminal or a server or a middleware, which is not limited herein. The embodiment of the present invention is described by taking middleware as an execution subject.
In the step, the vibration data is high-frequency vibration data, the high-frequency data acquisition is realized by independently setting and acquiring data with a sensor on the rolling mill equipment, or by acquiring software, specifically, acquiring equipment running state information and vibration data of the equipment on the rolling mill equipment, specifically, the sensor is a vibration sensor, the sensor is arranged on a vibration device of the rolling mill equipment, and the sensor is started while the rolling mill equipment works to acquire the vibration data of the rolling mill equipment in a working process in real time.
In practical application, at least one vibration sensor which is mutually associated through an IOT sensor network is arranged on the rolling mill equipment, and high-frequency vibration data of the rolling mill equipment are read in real time and sent to an Internet of things gateway;
and reading the high-frequency vibration data received in the Internet of things gateway, and sequencing the high-frequency vibration data according to the read time sequence to form vibration data.
102. Converting the vibration data through a preset high-frequency vibration data acquisition communication protocol to obtain block data with continuous time domains, and encoding the unique identification of the block data equipment;
in this embodiment, the high-frequency vibration data acquisition communication protocol is a rolling mill equipment high-frequency vibration data acquisition communication protocol of a 5G network, and is suitable for transmission processes of various high-frequency continuous data and internet of things platforms.
In this embodiment, the conversion first needs to determine a data transmission format corresponding to the communication protocol, that is, to extract a data transmission format configured in the communication protocol, extract and convert data content based on the data transmission format, and after obtaining block data, perform setting of identification coding on the block data, and the specific implementation steps are as follows:
extracting a data transmission format configured in the high-frequency vibration data acquisition communication protocol;
extracting a data packet KEY, sampling start time, sampling frequency and data content in the vibration data;
compressing the vibration data according to the data packet KEY, the sampling start time and the parameter sequence of the sampling frequency to form block data of continuous time periods;
and configuring a unique identification code for the block data.
In practical application, the communication protocol may exist in a form of middleware, specifically, a vibration data protocol conversion middleware is deployed at an internet of things gateway, and the middleware compresses time domain data according to parameters such as data start time, data sampling frequency and the like, forms 'block' data of continuous time periods, and provides unique identification codes for block data.
103. And when a data transmission instruction is received, the block data and the unique identification code are sent to an Internet of things platform for storage.
In this embodiment, the middleware immediately sends a data communication request to the internet of things platform, the internet of things platform receives the request, first receives the unique identification code of the block data, further receives the compressed data content of the block data, and after data transmission is completed, the internet of things platform checks and decompresses the block data according to a protocol, and additionally stores the restored data.
Based on the method, the high-frequency vibration data generated when the rolling mill equipment works are acquired through the gateway of the Internet of things, the vibration data are converted through a preset high-frequency vibration data acquisition communication protocol to obtain the block data with continuous time domains, the unique identification code is set for the block data, and when a data transmission instruction is received, the block data and the unique identification code are sent to the platform of the Internet of things to be stored, so that the problem that the traditional (k, v, t) protocol model of the platform of the Internet of things cannot efficiently support the high-frequency vibration data acquisition communication scene of the rolling mill equipment is solved.
Meanwhile, the data block technology provided by the application can greatly simplify the time redundancy of continuous data and meet the scene of 10 kHz-level vibration data communication. The protocol format of (k, v, t) -JSON is replaced by the technical mode of standard starting time, data sampling frequency and compressed time domain data sequence, so that the vibration data is greatly compressed, and the communication efficiency is improved.
Furthermore, the communication protocol uses block data to package the sampling data to form a unique code, and completes the communication with the Internet of things platform, thereby simplifying the identification and management work in the communication process. The method optimizes the data storage and processing flow according to the application scene, and realizes the conversion of the vibration data communication protocol by deploying the embedded vibration data protocol analysis in the gateway of the Internet of things under the 5G network environment of the rolling mill equipment, thereby realizing the transmission of continuous high-frequency vibration data to the platform of the Internet of things.
Referring to fig. 2, another embodiment of the data processing method for a rolling mill facility based on a 5G network in the embodiment of the present invention includes:
201. arranging at least one vibration sensor which is mutually associated through an IOT sensor network on the rolling mill equipment, reading high-frequency vibration data of the rolling mill equipment in real time and sending the high-frequency vibration data to an Internet of things gateway;
202. reading high-frequency vibration data received in the Internet of things gateway, and sequencing the high-frequency vibration data according to the read time sequence to form vibration data;
203. converting the vibration data through a preset high-frequency vibration data acquisition communication protocol to obtain block data with continuous time domains, and setting a unique identification code for the block data;
in this embodiment, the dither data acquisition communication protocol is a rolling mill equipment dither data acquisition communication protocol (VDA protocol) based on a 5G network, and can realize conversion of the dither data communication protocol by deploying an embedded dither data protocol analysis middleware at an internet of things gateway in a 5G network environment, so that transmission of continuous dither data to an internet of things platform is realized. The protocol is located at an application layer of a traditional 7-layer network application architecture, and specifically comprises a physical layer, a link layer, a network layer, a transmission layer, a session layer, a presentation layer and an application layer, and is specifically shown in fig. 3, wherein the communication protocol is mainly arranged in the application layer, so that the continuous high-frequency vibration data in the rolling mill equipment is collected and transmitted based on a gateway.
In practical application, the communication protocol is based on a 5G underlying communication protocol, and is packaged based on an application layer HTTP and an HTTPS protocol, and is used for encoding Vibration data according to a VDA (Vibration data acquisition and communication protocol) protocol of a high-speed rolling mill based on a standardized lightweight data exchange format of JSON (JavaScript Object Notification). And processing the streaming data of the vibration waveform through the middleware.
For vibration data acquisition scenarios where new dynamic data is continuously generated, the manner typically employed in streaming data processing is employed. Different from primary processing such as rolling calculation of minimum-maximum values and the like under a normal condition, the VDA protocol can support recording of sampling frequency and starting time of vibration data waveforms, and storing in a packet-by-packet manner, wherein a protocol packet generated through the VDA protocol is specifically a JSON communication packet, and a specific result is shown in fig. 4, wherein a standard format of a VDA protocol JSON communication packet is as follows:
204. when a data transmission instruction is received, selecting a corresponding data transmission mechanism according to the data transmission instruction;
in this step, the data transmission mechanism includes a timing task mechanism and a triggered task mechanism, and the timing task mechanism triggers synchronization of the vibration data as an example.
205. Detecting whether the timing time is reached;
206. and if so, sending the block data and the unique identification code to an Internet of things platform for recovery processing, and storing the recovered data.
In this step, if the data transmission mechanism is a triggered task mechanism, detecting whether there is data synchronization operation; and if the data exists, the block data and the unique identification code are sent to the Internet of things platform for recovery processing, and the recovered data is stored.
In this embodiment, the sending the block data and the unique identifier code to an internet of things platform for recovery processing, and storing the recovered data specifically includes:
sending the unique identification code of the block data to an Internet of things platform;
inquiring a protocol decoding rule corresponding to the unique identification code based on a soft protocol adaptation service;
receiving the block data, and decompressing based on the protocol decoding rule to obtain data content;
and verifying the data content according to the high-frequency vibration data acquisition communication protocol, and storing the recovered data after the verification is passed.
In conclusion, the high-frequency vibration data generated by the rolling mill equipment during working is acquired through the internet of things gateway, and through the preset high-frequency vibration data acquisition communication protocol, converting the vibration data to obtain block data with continuous time domain, setting unique identification code for the block data, when a data transmission instruction is received, the block data and the unique identification code are sent to an Internet of things platform for storage, sampling data are packaged based on a high-frequency vibration data acquisition communication protocol to form a unique code, the rolling mill equipment can also realize the conversion of the vibration data communication protocol by deploying the embedded vibration data protocol analysis in the gateway of the Internet of things under the 5G network environment, thereby realizing the transmission of continuous high-frequency vibration data to the platform of the Internet of things.
In the above description of the data processing method of the rolling mill equipment based on the 5G network in the embodiment of the present invention, referring to fig. 5, a data processing device of the rolling mill equipment in the embodiment of the present invention is described below, and an embodiment of the data processing device of the rolling mill equipment in the embodiment of the present invention includes:
the acquisition module 501 is configured to acquire vibration data generated by the rolling mill equipment during operation through an internet of things gateway, where the vibration data is high-frequency vibration data;
a conversion module 502, configured to convert the vibration data by using a preset high-frequency vibration data acquisition communication protocol to obtain block data with a continuous time domain, and set a unique identification code for the block data, where the high-frequency vibration data acquisition communication protocol is a data transmission protocol developed based on a 5G network;
and the synchronization module 503 is configured to send the block data and the unique identification code to the internet of things platform for storage when receiving a data transmission instruction.
In the embodiment of the invention, the high-frequency vibration data generated by the rolling mill equipment during working is acquired through the internet of things gateway, and the high-frequency vibration data is acquired through a preset high-frequency vibration data acquisition communication protocol, converting the vibration data to obtain block data with continuous time domain, setting unique identification code for the block data, when a data transmission instruction is received, the block data and the unique identification code are sent to an Internet of things platform for storage, sampling data are packaged based on a high-frequency vibration data acquisition communication protocol to form a unique code, and completes the communication with the Internet of things platform, simplifies the identification and management work in the communication process, solves the problems that in the existing rolling mill equipment vibration monitoring scheme, due to the specific design of the low-frequency transmission protocol, the high-frequency vibration data of the rolling mill cannot be acquired and transmitted and the diagnosis and analysis of the cloud end can not be performed through the technology of the Internet of things.
Referring to fig. 6, another embodiment of the data processing apparatus of a rolling mill facility based on a 5G network in the embodiment of the present invention includes:
the acquisition module 501 is configured to acquire vibration data generated by the rolling mill equipment during operation through an internet of things gateway, where the vibration data is high-frequency vibration data;
the conversion module 502 is configured to convert the vibration data by a preset high-frequency vibration data acquisition communication protocol to obtain block data with continuous time domains, and set a unique identification code for the block data, where the high-frequency vibration data acquisition communication protocol is a data transmission protocol developed based on a 5G network;
and the synchronization module 503 is configured to send the block data and the unique identification code to the internet of things platform for storage when receiving a data transmission instruction.
Optionally, the acquisition module 501 includes:
the reading unit 5011 is configured to set at least one vibration sensor on the rolling mill equipment, where the vibration sensors are related to each other through an IOT sensor network, and read high-frequency vibration data of the rolling mill equipment in real time and send the high-frequency vibration data to an internet of things gateway;
the sorting unit 5012 is configured to read the high-frequency vibration data received in the internet of things gateway, and sort the high-frequency vibration data according to the read time sequence to form vibration data.
Optionally, the converting module 502 includes:
the extracting unit 5021 is used for extracting a data transmission format configured in the high-frequency vibration data acquisition communication protocol; extracting a data packet KEY, sampling start time, sampling frequency and data content in the vibration data;
a compression unit 5022, configured to compress the vibration data according to the data transmission format and according to the parameter sequence of the data packet KEY, the sampling start time, and the sampling frequency, so as to form block data of a continuous time period;
a configuring unit 5023, configured to configure a unique identifier code for the block data.
Optionally, the compressing unit 5023 is specifically configured to:
based on the standardized lightweight data format of JSON configured in the standard format, the vibration data is coded in a format exchange mode to obtain coded data;
merging streaming data parts belonging to vibration waveforms in the coded data, and connecting the data packets KEY, the sampling start time and the sampling frequency in series according to a time sequence by taking the data packets KEY, the sampling start time and the sampling frequency as communication packet headers to obtain block data of continuous time periods.
Optionally, the synchronization module 503 includes:
a selecting unit 5031, configured to, when a data transmission instruction is received, select a corresponding data transmission mechanism according to the data transmission instruction, where the data transmission mechanism includes a timing task mechanism and a trigger task mechanism;
a synchronizing unit 5032, configured to detect whether a timing time is reached when the data transmission mechanism is a timing task mechanism; if the data arrives, the block data and the unique identification code are sent to an Internet of things platform for recovery processing, and the recovered data are stored; when the data transmission mechanism is a triggered task mechanism, detecting whether data synchronization operation exists or not; and if the data exists, the block data and the unique identification code are sent to the Internet of things platform for recovery processing, and the recovered data is stored.
Optionally, the synchronization unit 5032 is specifically configured to:
sending the unique identification code of the block data to an Internet of things platform;
inquiring a protocol decoding rule corresponding to the unique identification code based on a soft protocol adaptation service;
receiving the block data, and decompressing based on the protocol decoding rule to obtain data content;
and verifying the data content according to the high-frequency vibration data acquisition communication protocol, and storing the recovered data after the verification is passed.
Fig. 5 and 6 describe the data processing device of the rolling mill facility based on the 5G network in the embodiment of the present invention in detail from the perspective of the modular functional entity, and the data processing device of the rolling mill facility based on the 5G network in the embodiment of the present invention is described in detail from the perspective of hardware processing.
Fig. 7 is a schematic structural diagram of a data processing apparatus of a rolling mill apparatus based on a 5G network according to an embodiment of the present invention, where the data processing apparatus 700 of the rolling mill apparatus based on the 5G network may generate relatively large differences due to different configurations or performances, and may include one or more processors (CPUs) 710 (e.g., one or more processors) and a memory 720, and one or more storage media 730 (e.g., one or more mass storage devices) storing an application 733 or data 732. Memory 720 and storage media 530 may be, among other things, transient or persistent storage. The program stored in the storage medium 730 may include one or more modules (not shown), each of which may include a series of instruction operations for the data processing device 700 of the rolling mill plant. Still further, the processor 710 may be configured to communicate with the storage medium 730 to execute a series of instruction operations in the storage medium 730 on the data processing device 700 of the 5G network-based rolling mill facility.
The data processing apparatus 700 of the 5G network-based rolling mill plant may also include one or more power supplies 740, one or more wired or wireless network interfaces 750, one or more input-output interfaces 760, and/or one or more operating systems 731, such as Windows server, Mac OS X, Unix, Linux, FreeBSD, and the like. Those skilled in the art will appreciate that the data processing device configuration of the 5G network-based rolling mill plant illustrated in fig. 7 does not constitute a limitation of the data processing device of the rolling mill plant, and may include more or fewer components than those illustrated, or some components in combination, or a different arrangement of components.
In this embodiment, the data processing device of the rolling mill device based on the 5G network may also be implemented by a structure that a high-frequency vibration data acquisition communication protocol is distributed between an internet of things platform and an internet of things gateway in a middleware form, specifically, as shown in fig. 8, the data processing device of the rolling mill device based on the 5G network includes: the system comprises an internet of things gateway 801, at least one vibration sensor 802, a middleware 803 and an internet of things platform 804, wherein the at least one vibration sensor 802 is in communication connection with the internet of things gateway 801 and is used for reading high-frequency vibration data of the rolling mill equipment in real time;
the middleware 803 is used for acquiring vibration data generated by the rolling mill equipment during operation from the gateway 801; converting the vibration data through a preset high-frequency vibration data acquisition communication protocol to obtain block data with continuous time domains, and setting a unique identification code for the block data, wherein the vibration data are high-frequency vibration data; sending the block data and the unique identification code to the internet of things platform 804;
the internet of things platform 804 is used for verifying and decompressing the block data by using a soft protocol adaptation service when receiving a data transmission instruction sent by the middleware, and storing the pressurized data.
Specifically, the middleware 803 compresses time domain data according to parameters such as data start time, data sampling frequency, etc., forms "block" data of continuous time periods, and provides unique identification codes for block data. The middleware 803 immediately sends a data communication request to the internet of things platform 804, and the internet of things platform receives the request, first receives the unique code of the block data, and further receives the compressed data content of the received block data. After the data transmission is completed, the internet of things platform 804 checks and decompresses the block data according to the protocol, and additionally stores the recovered data.
The invention also provides a data processing device of the rolling mill equipment based on the 5G network, wherein the computer device comprises a memory and a processor, and computer readable instructions are stored in the memory, and when being executed by the processor, the computer readable instructions cause the processor to execute the steps of the data processing method of the rolling mill equipment based on the 5G network in the embodiments.
The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium, and which may also be a volatile computer-readable storage medium, having stored therein instructions that, when executed on a computer, cause the computer to perform the steps of the data processing method for a rolling mill installation based on a 5G network.
In summary, the collected high-frequency vibration data on the rolling mill equipment is converted and transmitted through the high-frequency vibration data collection communication protocol based on the 5G network, and the method has the following advantages:
1. the problem that a traditional (k, v, t) protocol model of an Internet of things platform cannot efficiently support a high-frequency vibration data acquisition communication scene of rolling mill equipment is solved. The data block technology provided by the patent can greatly simplify the time redundancy of continuous data and meet the scene of 10 kHz-level vibration data communication.
2. The protocol format of (k, v, t) -JSON is replaced by the standard technical mode of starting time, data sampling frequency and compressed time domain data sequence, so that the vibration data is greatly compressed, and the communication efficiency is improved;
3. the protocol packet uses the block data to package the sampling data to form a unique code, and completes the communication with the Internet of things platform, thereby simplifying the identification and management work in the communication process. The data storage and processing flow is optimized according to the application scene. The usability of the Internet of things platform and the upper application system is improved.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A data processing method of rolling mill equipment based on a 5G network is characterized by comprising the following steps:
acquiring vibration data generated by the rolling mill equipment during working through an internet of things gateway, wherein the vibration data is high-frequency vibration data;
converting the vibration data through a preset high-frequency vibration data acquisition communication protocol to obtain block data with continuous time domains, and setting a unique identification code for the block data, wherein the high-frequency vibration data acquisition communication protocol is a data transmission protocol developed based on a 5G network;
and when a data transmission instruction is received, the block data and the unique identification code are sent to an Internet of things platform for storage.
2. The data processing method of a rolling mill facility based on a 5G network as claimed in claim 1, wherein the obtaining vibration data generated by the rolling mill facility during operation through an internet of things gateway comprises:
arranging at least one vibration sensor which is mutually associated through an IOT sensor network on the rolling mill equipment, reading high-frequency vibration data of the rolling mill equipment in real time and sending the high-frequency vibration data to an Internet of things gateway;
and reading the high-frequency vibration data received in the Internet of things gateway, and sequencing the high-frequency vibration data according to the read time sequence to form vibration data.
3. The data processing method of a rolling mill facility based on a 5G network as claimed in claim 2, wherein the converting the vibration data by a preset high-frequency vibration data acquisition communication protocol to obtain time-domain continuous block data, and setting a unique identification code to the block data comprises:
extracting a data transmission format configured in the high-frequency vibration data acquisition communication protocol;
extracting a data packet KEY, sampling start time, sampling frequency and data content in the vibration data;
compressing the vibration data according to the data packet KEY, the sampling start time and the parameter sequence of the sampling frequency to form block data of continuous time periods;
and configuring a unique identification code for the block data.
4. The data processing method of a rolling mill facility based on a 5G network according to claim 3, wherein the data transmission format is JSON standard format, and the compressing the vibration data according to the data transmission format and the parameter sequence of the data packet KEY, the sampling start time and the sampling frequency to form block data of continuous time periods comprises:
based on the standardized lightweight data format of JSON configured in the standard format, the vibration data is coded in a format exchange mode to obtain coded data;
merging streaming data parts belonging to vibration waveforms in the coded data, and connecting the data packets KEY, the sampling start time and the sampling frequency in series according to a time sequence by taking the data packets KEY, the sampling start time and the sampling frequency as communication packet headers to obtain block data of continuous time periods.
5. The data processing method of the rolling mill equipment based on the 5G network as claimed in any one of claims 1 to 4, wherein the sending the block data and the unique identification code to an Internet of things platform for storage when the data transmission instruction is received comprises:
when a data transmission instruction is received, selecting a corresponding data transmission mechanism according to the data transmission instruction, wherein the data transmission mechanism comprises a timing task mechanism and a trigger task mechanism;
if the data transmission mechanism is a timing task type mechanism, detecting whether timing time is reached; if the data arrives, the block data and the unique identification code are sent to an Internet of things platform for recovery processing, and the recovered data are stored;
if the data transmission mechanism is a triggered task mechanism, detecting whether data synchronization operation exists; and if the data exists, the block data and the unique identification code are sent to the Internet of things platform for recovery processing, and the recovered data is stored.
6. The data processing method of rolling mill equipment based on the 5G network according to claim 5, wherein the sending the block data and the unique code to an Internet of things platform for recovery processing, and the storing the recovered data comprises:
sending the unique identification code of the block data to an Internet of things platform;
inquiring a protocol decoding rule corresponding to the unique identification code based on a soft protocol adaptation service;
receiving the block data, and decompressing based on the protocol decoding rule to obtain data content;
and verifying the data content according to the high-frequency vibration data acquisition communication protocol, and storing the recovered data after the verification is passed.
7. A data processing device of a rolling mill facility based on a 5G network is characterized by comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring vibration data generated by the rolling mill equipment during working through an internet of things gateway, and the vibration data is high-frequency vibration data;
the conversion module is used for converting the vibration data through a preset high-frequency vibration data acquisition communication protocol to obtain block data with continuous time domains and setting a unique identification code for the block data, wherein the high-frequency vibration data acquisition communication protocol is a data transmission protocol developed based on a 5G network;
and the synchronization module is used for sending the block data and the unique identification code to the Internet of things platform for storage when receiving a data transmission instruction.
8. A data processing device of a rolling mill facility based on a 5G network, characterized by comprising: the system comprises an Internet of things gateway, at least one vibration sensor, middleware and an Internet of things platform, wherein the at least one vibration sensor is in communication connection with the Internet of things gateway and used for reading high-frequency vibration data of the rolling mill equipment in real time;
the middleware is used for acquiring vibration data generated by the rolling mill equipment during working from an Internet of things gateway; converting the vibration data through a preset high-frequency vibration data acquisition communication protocol to obtain block data with continuous time domains, and setting a unique identification code for the block data, wherein the vibration data is high-frequency vibration data, and the high-frequency vibration data acquisition communication protocol is a data transmission protocol developed based on a 5G network; sending the block data and the unique identification code to an Internet of things platform;
and the Internet of things platform is used for verifying and decompressing the block data by using a soft protocol adaptation service when receiving a data transmission instruction sent by the middleware, and storing the pressurized data.
9. A data processing device of a rolling mill facility based on a 5G network, characterized by comprising: a memory having instructions stored therein and at least one processor, the memory and the at least one processor interconnected by a line;
the at least one processor invokes the instructions in the memory to cause the data processing device of the 5G network-based rolling mill plant to perform the data processing method of the 5G network-based rolling mill plant of any one of claims 1-6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements a data processing method of a 5G network-based rolling mill apparatus according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011006432.5A CN112202742B (en) | 2020-09-23 | 2020-09-23 | Data processing method of rolling mill equipment based on 5G network and related equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011006432.5A CN112202742B (en) | 2020-09-23 | 2020-09-23 | Data processing method of rolling mill equipment based on 5G network and related equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112202742A true CN112202742A (en) | 2021-01-08 |
| CN112202742B CN112202742B (en) | 2022-01-11 |
Family
ID=74015997
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011006432.5A Active CN112202742B (en) | 2020-09-23 | 2020-09-23 | Data processing method of rolling mill equipment based on 5G network and related equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112202742B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115081232A (en) * | 2022-06-30 | 2022-09-20 | 武汉钢铁有限公司 | Construction method and construction device of a digital steel coil |
| CN115102951A (en) * | 2022-07-29 | 2022-09-23 | 上海电气风电集团股份有限公司 | A method, device and device for real-time publishing of data |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102571518A (en) * | 2011-12-19 | 2012-07-11 | 西安交通大学 | Electronic transformer data transmission method based on field bus |
| CN103118097A (en) * | 2013-01-25 | 2013-05-22 | 电子科技大学 | Data transmission method in wireless sensor network |
| CN104253763A (en) * | 2013-06-30 | 2014-12-31 | 上海贝尔股份有限公司 | Method for realizing data transmission in gateway equipment of ubiquitous network and gateway equipment using method |
| CN105404634A (en) * | 2014-09-15 | 2016-03-16 | 南京理工大学 | Key-Value data block based data management method and system |
| US20160198387A1 (en) * | 2011-12-15 | 2016-07-07 | At&T Intellectual Property I L.P. | Media Distribution Via A Scalable Ad Hoc Geographic Protocol |
| CN110837855A (en) * | 2019-10-30 | 2020-02-25 | 云南电网有限责任公司信息中心 | Method for processing heterogeneous data set in power grid service cooperative monitoring system |
| US20200084081A1 (en) * | 2016-08-22 | 2020-03-12 | Samsung Electronics Co., Ltd. | Method and apparatus for cell initial access and paging in wireless cellular communication system |
| CN111122934A (en) * | 2020-01-03 | 2020-05-08 | 郑州嘉晨电器有限公司 | Oscilloscope system based on internet of things technology |
-
2020
- 2020-09-23 CN CN202011006432.5A patent/CN112202742B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160198387A1 (en) * | 2011-12-15 | 2016-07-07 | At&T Intellectual Property I L.P. | Media Distribution Via A Scalable Ad Hoc Geographic Protocol |
| CN102571518A (en) * | 2011-12-19 | 2012-07-11 | 西安交通大学 | Electronic transformer data transmission method based on field bus |
| CN103118097A (en) * | 2013-01-25 | 2013-05-22 | 电子科技大学 | Data transmission method in wireless sensor network |
| CN104253763A (en) * | 2013-06-30 | 2014-12-31 | 上海贝尔股份有限公司 | Method for realizing data transmission in gateway equipment of ubiquitous network and gateway equipment using method |
| CN105404634A (en) * | 2014-09-15 | 2016-03-16 | 南京理工大学 | Key-Value data block based data management method and system |
| US20200084081A1 (en) * | 2016-08-22 | 2020-03-12 | Samsung Electronics Co., Ltd. | Method and apparatus for cell initial access and paging in wireless cellular communication system |
| CN110837855A (en) * | 2019-10-30 | 2020-02-25 | 云南电网有限责任公司信息中心 | Method for processing heterogeneous data set in power grid service cooperative monitoring system |
| CN111122934A (en) * | 2020-01-03 | 2020-05-08 | 郑州嘉晨电器有限公司 | Oscilloscope system based on internet of things technology |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115081232A (en) * | 2022-06-30 | 2022-09-20 | 武汉钢铁有限公司 | Construction method and construction device of a digital steel coil |
| CN115102951A (en) * | 2022-07-29 | 2022-09-23 | 上海电气风电集团股份有限公司 | A method, device and device for real-time publishing of data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112202742B (en) | 2022-01-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112202742B (en) | Data processing method of rolling mill equipment based on 5G network and related equipment | |
| CN112379949B (en) | Data processing method, device, equipment and storage medium | |
| CN112685248A (en) | Intelligent network card monitoring log obtaining method and device, electronic equipment and storage medium | |
| JP2009518755A5 (en) | ||
| US20220366089A1 (en) | Method, System, Electronic Device, and Storage Medium For Storing and Collecting Temperature Data | |
| CN112335202B (en) | Processing local area network diagnostic data | |
| CN112335203A (en) | Processing local area network diagnostic data | |
| CN117938977A (en) | Data analysis and transmission method of industrial miniature data acquisition equipment | |
| CN113612516A (en) | Compression test method, system and equipment for satellite communication data packet | |
| CN111294261A (en) | Signal processing method, apparatus, computer equipment and storage medium | |
| CN109995589B (en) | Log collection method and system | |
| KR20130038305A (en) | A method, a system, a server, a device, a computer program and a computer program product for transmitting data in a computer network | |
| CN112532700B (en) | Data transmission method and related equipment | |
| CN105530137A (en) | Flow data analysis method and flow data analysis system | |
| CN113784237B (en) | Method, device, network equipment and computer medium for reporting collected data | |
| CN116915329B (en) | Terminal automatic access method, terminal, base station, communication system and storage medium | |
| CN118869683A (en) | A data collection system, method, device and equipment | |
| CN112422525A (en) | Fault data transmission method, device, equipment and storage medium | |
| CN117221354A (en) | Multi-source heterogeneous data real-time acquisition, storage and analysis method and system | |
| CN106776794B (en) | Mass data processing method and system | |
| CN113179450B (en) | Working method for analyzing urban operation management in big data environment | |
| CN114579422B (en) | Test script construction method, device, computer equipment and storage medium | |
| CN108717438A (en) | A kind of chained record state acquisition system and method | |
| JPH0736746A (en) | Data processing device | |
| CN120692325A (en) | Meteorological business monitoring data compression and transmission method and system based on cloud-edge collaboration |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |