CN117395625A - Remote data acquisition system for wireless network - Google Patents
Remote data acquisition system for wireless network Download PDFInfo
- Publication number
- CN117395625A CN117395625A CN202311366343.5A CN202311366343A CN117395625A CN 117395625 A CN117395625 A CN 117395625A CN 202311366343 A CN202311366343 A CN 202311366343A CN 117395625 A CN117395625 A CN 117395625A
- Authority
- CN
- China
- Prior art keywords
- data
- remote server
- analysis
- sensor node
- remote
- 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.)
- Pending
Links
- 230000006854 communication Effects 0.000 claims abstract description 73
- 238000004891 communication Methods 0.000 claims abstract description 73
- 230000005540 biological transmission Effects 0.000 claims abstract description 31
- 238000005516 engineering process Methods 0.000 claims abstract description 26
- 238000012544 monitoring process Methods 0.000 claims abstract description 21
- 230000007613 environmental effect Effects 0.000 claims abstract description 17
- 230000003993 interaction Effects 0.000 claims abstract description 8
- 238000007405 data analysis Methods 0.000 claims description 59
- 238000013523 data management Methods 0.000 claims description 57
- 230000006870 function Effects 0.000 claims description 28
- 238000012545 processing Methods 0.000 claims description 22
- 238000013500 data storage Methods 0.000 claims description 19
- 238000004458 analytical method Methods 0.000 claims description 15
- 238000000034 method Methods 0.000 claims description 14
- 238000003860 storage Methods 0.000 claims description 14
- 238000007418 data mining Methods 0.000 claims description 9
- 238000001514 detection method Methods 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 9
- 238000010801 machine learning Methods 0.000 claims description 8
- 230000007175 bidirectional communication Effects 0.000 claims description 7
- 230000000007 visual effect Effects 0.000 claims description 7
- 230000007246 mechanism Effects 0.000 claims description 6
- 238000005286 illumination Methods 0.000 claims description 5
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 4
- 230000004044 response Effects 0.000 claims description 4
- 230000008859 change Effects 0.000 claims description 3
- 238000013079 data visualisation Methods 0.000 claims description 3
- 230000007774 longterm Effects 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 claims description 2
- 238000013480 data collection Methods 0.000 claims description 2
- 238000012423 maintenance Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 5
- 238000004140 cleaning Methods 0.000 description 3
- 238000010223 real-time analysis Methods 0.000 description 3
- 238000012800 visualization Methods 0.000 description 3
- 230000002776 aggregation Effects 0.000 description 2
- 238000004220 aggregation Methods 0.000 description 2
- 239000000306 component Substances 0.000 description 2
- 239000008358 core component Substances 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000007781 pre-processing Methods 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 238000012098 association analyses Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000002045 lasting effect Effects 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/04—Arrangements for maintaining operational condition
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W76/00—Connection management
- H04W76/10—Connection setup
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Selective Calling Equipment (AREA)
Abstract
The invention discloses a remote data acquisition system for a wireless network, which belongs to the technical field of wireless networks and comprises: the sensor node unit comprises a plurality of sensors, wherein environmental data are collected through sensor nodes, and the collected data are locally processed and stored; the network communication unit is responsible for establishing wireless connection with the remote server and realizing data transmission and communication, the unit supports various wireless communication protocols so as to adapt to different network environments, and through the module, the sensor node can perform real-time data interaction with the remote server. And (3) wireless connection: the wireless network is used for connecting the sensor node and the remote server, so that the limitation of wired wiring is eliminated, the deployment and maintenance cost of the system is reduced, the flexibility and expandability of the system are improved, and real-time interaction is realized: by adopting the real-time data transmission and communication technology, the sensor nodes and the remote server can perform rapid and stable data interaction, and the real-time monitoring and control of users are supported.
Description
Technical Field
The invention relates to the technical field of wireless networks, in particular to a remote data acquisition system for a wireless network.
Background
The wireless network is a network that can interconnect various communication devices without wiring. Wireless networking technologies cover a wide range of technologies, including both global voice and data networks that allow users to establish long-range wireless connections, and infrared and radio frequency technologies that are optimized for short-range wireless connections. Wireless networks are commonly integrated with telecommunications networks and do not require cables to interconnect nodes. [11] Wireless networks are generally applied to remote control information transmission systems using electromagnetic waves, like networks using radio waves as carrier waves and physical layers, such as LTE, wi-Fi, CDMA2000, etc.
In the current technical environment, data acquisition systems play a key role in various fields. However, the conventional wired data acquisition system has limitations in some scenarios, such as long-time installation and wiring, and data acquisition cannot be completed remotely, and thus the present application proposes a remote data acquisition system for wireless network.
Disclosure of Invention
The invention aims to provide a remote data acquisition system for a wireless network, which can complete data transmission through remote data acquisition and remote communication, simultaneously carry out classified management on the transmitted data and complete data analysis, so as to solve the problem that the data acquisition system plays a key role in various fields in the current technical environment. However, conventional wired data acquisition systems have limitations in some scenarios, such as long time installation and wiring, and inability to remotely complete data acquisition.
In order to achieve the above purpose, the present invention provides the following technical solutions: a remote data acquisition system for a wireless network, the system being implemented by a computer having a processor and a plurality of sensors, comprising:
the sensor node unit comprises a plurality of sensors, wherein environmental data are collected through sensor nodes, and the collected data are locally processed and stored;
the network communication unit is responsible for establishing wireless connection with the remote server and realizing data transmission and communication, the unit supports various wireless communication protocols so as to adapt to different network environments, and through the module, the sensor node can perform real-time data interaction with the remote server;
the remote server is used for receiving, processing and storing the data acquired by the sensor nodes, has strong calculation and storage capacity to meet the requirement of large-scale data acquisition, and can also provide the data management and analysis functions to support the further utilization of the acquired data by a user;
and the data management and analysis platform is used for monitoring, analyzing and visualizing the acquired data in real time, and can provide rich data processing and analysis tools to help users to better understand and utilize the acquired data.
As a further scheme of the invention: the sensor node unit comprises the following sub-modules:
and (3) data acquisition: the sensor node is responsible for collecting data of various physical quantities or states in the environment in real time, converting the data into digital signals and sending the digital signals to the remote server through the communication module, and the system can comprehensively know the real-time state of the environment through the data collection function of the sensor node;
and (3) data transmission: the sensor node transmits the acquired data to a remote server through a network communication module, so that bidirectional communication with the server is realized;
environmental monitoring: the sensor node can monitor various physical quantities or states in the environment in real time, provide environment monitoring and alarming functions, timely identify abnormal conditions and send alarms so as to protect environment safety and improve production efficiency;
remote control: the sensor node not only can collect environment data, but also can receive a control instruction sent by the remote server to realize remote control of the environment, and the system can adjust environment parameters, such as temperature control, illumination intensity adjustment and the like, through the sensor node to realize accurate control and adjustment of the environment;
system expansibility: the sensor nodes are distributed in the system, the number of the nodes can be flexibly increased or reduced, the expansibility of the system is realized, the system can cover a wider area by adding more sensor nodes, more environmental data are collected, and the requirements of different scenes and applications are met.
As still further aspects of the invention: the network communication unit comprises the following sub-modules:
wireless communication technology: the network communication module adopts a wireless communication technology to realize wireless data transmission between the sensor node and the remote server, and the wireless communication technology enables the sensor node to be flexibly deployed at different positions, and the limitation of wiring is eliminated;
data transmission protocol: the network communication module uses a specific data transmission protocol to ensure the reliability and the high efficiency of data transmission between the sensor node and the remote server;
data encryption and security: in order to protect the security of the data, the network communication module uses an encryption algorithm to encrypt the data, so as to prevent the data from being illegally accessed or tampered;
remote server interface: the network communication module communicates through an interface provided by the remote server, establishes a connection with the server using a specific communication protocol, and transmits and receives data through the connection;
heartbeat detection and reconnection mechanism: in order to maintain the stability of communication, the network communication module realizes a heartbeat detection and reconnection mechanism, the sensor node periodically sends heartbeat packets to the server for detecting communication connectivity, and if the response of the server is not received for a plurality of times continuously, the communication module automatically tries to reconnect the server so as to ensure the reliability of data transmission.
As still further aspects of the invention: the remote server comprises the following submodules:
data analysis and mining: the remote server can analyze and mine the sensor data in real time, and by applying machine learning and data mining algorithms, the mode, trend and abnormality in the data are identified, so that more accurate data analysis and decision support is provided for users;
real-time monitoring and alarming: the remote server can monitor the data sent by the sensor node in real time, send out an alarm and a notice according to a preset threshold value or rule, and the user can receive the alarm information through mobile phone application or electronic mail and take corresponding measures in time;
data visualization and reporting: the remote server can visually display the sensor data, intuitively display the change trend and state information of the environmental data in the forms of charts, dashboards and the like, and a user can customize a report to derive a data analysis result for analysis, decision making and reporting;
data storage and backup: the remote server can provide reliable data storage and backup functions, long-term storage and protection of sensor data are ensured, and the expandability of the system and the safety of the data can be improved by adopting a distributed storage or cloud storage technology;
remote control and configuration: the remote server can be in bidirectional communication with the sensor nodes to realize remote control and configuration, and a user can set, adjust parameters or send control instructions to the sensor nodes through the remote server to realize remote monitoring and control of the environment.
As still further aspects of the invention: the data management and analysis unit further comprises the following sub-modules:
multidimensional data management: the data management platform can support multidimensional data management, so that a user can conveniently and quickly search and acquire data under specific conditions;
real-time data processing: the data management platform can process and calculate real-time data and provide high-quality input data for subsequent data analysis;
big data storage and distributed computing: the data management platform can adopt a large data storage and distributed computing technology to cope with the challenges of increasing data size and provide efficient data storage and processing capacity;
advanced data analysis: the data management platform can support an advanced data analysis function, is used for finding hidden modes in data, performing anomaly detection and the like, and provides deeper insight and decision support for users;
user-defined algorithms and models: the data management platform can provide an interface for a user to customize an algorithm and a model, so that a user is allowed to develop the algorithm and train the model according to own needs, and personalized data analysis and processing are realized;
visual analysis and reporting: the data management platform can provide rich visual analysis tools and report generation functions, intuitively display data analysis results in the form of charts, maps and the like, and help users to quickly understand and utilize data.
Compared with the prior art, the invention has the beneficial effects that:
and (3) wireless connection: the wireless network is used for connecting the sensor node and the remote server, so that the limitation of wired wiring is eliminated, the deployment and maintenance cost of the system is reduced, and the flexibility and the expandability of the system are improved.
Real-time interaction: by adopting the real-time data transmission and communication technology, the sensor nodes and the remote server can perform rapid and stable data interaction, and the real-time monitoring and control of users are supported.
Data management and analysis: the system is provided with a perfect data management and analysis platform, so that a user can comprehensively process and analyze the acquired data, and the data utilization efficiency and value are improved.
The application is wide: the system can be widely applied to various industries and fields, such as environmental monitoring, industrial automation, agricultural intellectualization and the like, and meets the remote data acquisition requirements in different scenes.
Drawings
FIG. 1 is a schematic diagram of a system architecture of a remote data acquisition system for a wireless network according to the present invention;
FIG. 2 is a schematic diagram of a system architecture of a sensor node unit in a remote data acquisition system for a wireless network according to the present invention;
FIG. 3 is a schematic diagram of a system architecture of a network communication unit in a remote data acquisition system for a wireless network according to the present invention;
FIG. 4 is a schematic diagram of a system architecture of a remote server in a remote data acquisition system for a wireless network according to the present invention;
fig. 5 is a schematic diagram of a system architecture of a data management and analysis unit in a remote data acquisition system for a wireless network according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms first, second and the like in the description and in the claims, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged, as appropriate, such that embodiments of the present application may be implemented in sequences other than those illustrated or described herein, and that the objects identified by "first," "second," etc. are generally of a type and not limited to the number of objects, e.g., the first object may be one or more. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/", generally means that the associated object is an "or" relationship.
In the description of the present invention, it should be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate describing the present invention and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
In the description of the present invention, it should be noted that, unless explicitly stated and limited otherwise, the terms "mounted," "connected," and "disposed" are to be construed broadly, and may be fixedly connected, disposed, or detachably connected, disposed, or integrally connected, disposed, for example. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Referring to fig. 1 to 5, in an embodiment of the present invention, a remote data acquisition system for a wireless network, the system may be implemented by a computer having a processor and a plurality of sensors, including:
the sensor node unit comprises a plurality of sensors, wherein environmental data are collected through sensor nodes, and the collected data are locally processed and stored;
the network communication unit is responsible for establishing wireless connection with the remote server and realizing data transmission and communication, the unit supports various wireless communication protocols so as to adapt to different network environments, and through the module, the sensor node can perform real-time data interaction with the remote server;
the remote server is used for receiving, processing and storing the data acquired by the sensor nodes, has strong calculation and storage capacity to meet the requirement of large-scale data acquisition, and can also provide the data management and analysis functions to support the further utilization of the acquired data by a user;
and the data management and analysis platform is used for monitoring, analyzing and visualizing the acquired data in real time, and can provide rich data processing and analysis tools to help users to better understand and utilize the acquired data.
The sensor node is one of the core components of the system, and is provided with the following sub-modules and functions
And (3) data acquisition:
the sensor node is responsible for collecting data of various physical quantities or states in the environment, such as temperature, humidity, illumination intensity, pressure and the like in real time, converting the data into digital signals and sending the digital signals to a remote server through the communication module. Through the data acquisition function of the sensor nodes, the system can comprehensively know the real-time state of the environment.
And (3) data transmission:
the sensor node transmits the acquired data to a remote server through a network communication module, so that bidirectional communication with the server is realized. The data transmission is a key link for realizing remote monitoring and control, and the stable and efficient data transmission capability of the sensor nodes ensures the timely acquisition and response of the system to the environmental data.
Environmental monitoring:
the sensor nodes can monitor various physical quantities or states in the environment in real time and provide environment monitoring and alarming functions. Through the sensor node, the system can acquire information such as temperature, humidity, illumination intensity and the like of the environment in real time, timely identify abnormal conditions and send an alarm so as to protect the environment and improve the production efficiency.
Remote control:
the sensor node not only can collect environment data, but also can receive a control instruction sent by the remote server, so that the remote control of the environment is realized. Through the sensor node, the system can adjust environmental parameters, such as temperature control, illumination intensity adjustment and the like, so as to realize accurate control and adjustment of the environment.
System expansibility:
the sensor nodes are distributed in the system, so that the number of the nodes can be increased or reduced flexibly, and the expansibility of the system is realized. By adding more sensor nodes, the system can cover a wider area, collect more environmental data and meet the requirements of different scenes and applications.
In summary, the sensor node plays key roles of data acquisition, data transmission, environment monitoring, remote control, system expansion and the like in the system, and provides a basic support for the overall function realization and performance improvement of the system.
The network communication unit is a key component for realizing communication between the sensor node and the remote server in the system, and is responsible for transmitting data acquired by the sensor node to the remote server and receiving a control instruction sent by the remote server so as to realize bidirectional communication.
In the invention, the network communication unit adopts the following working mode and communication mode:
wireless communication technology:
the network communication unit adopts wireless communication technology, such as wireless local area network (Wi-Fi), bluetooth and the like, to realize wireless data transmission between the sensor node and the remote server, and the wireless communication technology enables the sensor node to be flexibly deployed at different positions, so that the limitation of wiring is eliminated.
Data transmission protocol:
the network communication unit uses a specific data transmission protocol to ensure the reliability and the high efficiency of the data transmission between the sensor node and the remote server, and common transmission protocols are MQTT (Message Queuing Telemetry Transport), HTTP (Hypertext Transfer Protocol) and the like.
Data encryption and security:
in order to protect the security of data, the network communication unit uses an encryption algorithm to encrypt the data, so as to prevent the data from being illegally accessed or tampered, and AES (Advanced Encryption Standard) is a common encryption algorithm.
In addition, the network communication module can also use authentication and other technologies to ensure the safety of communication.
Remote server interface:
the network communication unit communicates via an interface provided by a remote server, which establishes a connection with the server using a specific communication protocol and sends and receives data via the connection, the server interface may be custom API (Application Programming Interface) or may use a standard internet protocol.
Heartbeat detection and reconnection mechanism:
in order to maintain the stability of communication, the network communication unit realizes a heartbeat detection and reconnection mechanism, the sensor node periodically sends heartbeat packets to the server for detecting communication connectivity, and if the response of the server is not received for a plurality of times continuously, the communication unit automatically tries to reconnect the server so as to ensure the reliability of data transmission.
Through the working mode and the communication mode, the network communication unit can realize stable and reliable two-way communication between the sensor node and the remote server, and ensure accurate transmission of data and real-time of remote control. Meanwhile, the flexibility and the safety of communication are ensured by adopting means such as a wireless communication technology, data encryption and the like.
Remote server:
the remote server is one of the core components of the system and is used for receiving, processing and storing the data acquired by the sensor nodes and providing a remote access and management interface. In addition to the basic data storage and processing functions, the remote server also has the following features:
data analysis and mining:
the remote server can analyze and mine the sensor data in real time, and by applying machine learning and data mining algorithms, patterns, trends and anomalies in the data are identified, so that more accurate data analysis and decision support is provided for users.
Real-time monitoring and alarming:
the remote server can monitor the data sent by the sensor nodes in real time and send out alarms and notifications according to preset thresholds or rules. The user can receive the alarm information through the mobile phone application or the E-mail and take corresponding measures in time.
Data visualization and reporting:
the remote server can visually display the sensor data, and intuitively display the change trend and state information of the environmental data in the forms of charts, dashboards and the like. The user can customize the report, derive the data analysis results for analysis, decision making, and reporting.
Data storage and backup:
the remote server can provide reliable data storage and backup functions, ensuring long-term storage and protection of the sensor data. By adopting the distributed storage or cloud storage technology, the expandability of the system and the safety of data can be improved.
Remote control and configuration:
the remote server can be in bidirectional communication with the sensor nodes to realize remote control and configuration. The user can set, adjust parameters or send control instructions to the sensor nodes through the remote server, so that remote monitoring and control of the environment are realized.
Through enriching the function of remote server, this system can satisfy the demand in more fields, provides more intelligent, efficient data management and service, provides comprehensive environmental monitoring and control solution for the user.
Data management and analysis platform:
the data management and analysis platform is one of key components of the system and is used for processing, managing and analyzing the data acquired by the sensor nodes. In addition to the basic data storage and analysis functions, the platform may be further enriched in the following features:
multidimensional data management:
the data management platform can support multidimensional data management, including data classification and organization according to time, geographic position, sensor type and the like, and is convenient for a user to quickly search and acquire data under specific conditions.
Real-time data processing:
the data management platform can realize the processing and calculation of real-time data, including preprocessing operations such as data cleaning, denoising, interpolation and the like, and provides high-quality input data for subsequent data analysis.
Big data storage and distributed computing:
data management platforms may employ large data storage and distributed computing technologies to address challenges of ever-increasing data sizes, providing efficient data storage and processing capabilities.
Advanced data analysis:
the data management platform can support advanced data analysis functions, such as time series data analysis, association analysis, machine learning and the like, and is used for finding hidden modes in data, carrying out anomaly detection and the like, so that deeper insight and decision support are provided for users.
User-defined algorithms and models:
the data management platform can provide an interface for a user to customize an algorithm and a model, so that the user is allowed to develop the algorithm and train the model according to own requirements, and personalized data analysis and processing are realized.
Visual analysis and reporting:
the data management platform can provide rich visual analysis tools and report generation functions, intuitively display data analysis results in the form of charts, maps and the like, and help users to quickly understand and utilize data.
Through the functions of the rich data management and analysis platform, the system can provide powerful data processing and analysis capability and provide comprehensive and intelligent data management and decision support service for users.
Data management logic of the data management and analysis platform:
in the present invention, the data management and analysis platform is responsible for receiving, storing, managing and processing large amounts of data from the sensor nodes. The data management logic is as follows:
and (3) data receiving: the data management and analysis platform is connected with the network communication module of the sensor node to receive data sent by the sensor node, wherein the data can be environment data, equipment state information and the like acquired in real time.
And (3) data storage: the received data is stored in a lasting manner through a storage system of the data management and analysis platform, and the storage system can adopt a database or a distributed file system and other technologies to store the data according to a certain structure and format so as to facilitate subsequent inquiry and analysis.
Data cleaning and pretreatment: the data management and analysis platform cleans and preprocesses the received data, wherein the cleaning process comprises the steps of removing abnormal values, filling missing values, checking the integrity of the data and the like so as to ensure the quality and accuracy of the data, and the preprocessing process comprises the steps of data normalization, feature extraction, data conversion and the like so as to prepare for the subsequent data analysis.
Data indexing and querying: the data management and analysis platform indexes the stored data to support quick data query, a user can search the interested data through a query interface or specified query conditions, such as a specified time range, a device identifier and the like, and the platform can quickly locate and return the data meeting the conditions according to the query conditions.
Data management and rights control: the data management and analysis platform supports data authority control, ensures the safety and privacy of data, can set different user roles and authority levels, and performs access control on the data, so that only authorized users can access and operate the data.
Data analysis principle of data management and analysis platform:
the data management and analysis platform is not only responsible for data storage and inquiry, but also has the functions of data analysis and processing. The data analysis principle is as follows:
data aggregation and statistics: the data management and analysis platform can aggregate and statistically analyze the stored data, and can obtain information such as some overall characteristics, trends, relevance and the like through calculating and summarizing a large amount of data, so as to help users understand the overall condition of the data.
Data mining and machine learning: the data management and analysis platform can apply data mining and machine learning algorithms to find patterns, rules, anomalies and the like existing in the data, and can help users find new knowledge from the data, make predictions, make decisions and the like through data mining and machine learning technologies.
Visualization and report generation: the data management and analysis platform can display analysis results to users in the form of visual charts, images or reports through a visualization technology, so that the data can be better understood and deeply analyzed and interpreted.
Real-time analysis and decision support: the data management and analysis platform can analyze real-time data in real time and provide real-time decision support, and through real-time analysis of the real-time data, the platform can timely find problems and anomalies and help users to make instant decisions and adjustments.
In a word, the data management and analysis platform comprehensively analyzes and processes the stored data through technologies such as data aggregation, statistics, mining, machine learning, visualization and real-time analysis, provides deep insight data capability for users, and helps the users to make better decisions and optimize operation.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in an opposite order depending on the functions involved, e.g., the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those of ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are also within the protection of the present application.
Claims (5)
1. A remote data acquisition system for a wireless network, the system being implemented by a computer having a processor and a plurality of sensors, the system comprising: comprising the following steps:
the sensor node unit comprises a plurality of sensors, wherein environmental data are collected through sensor nodes, and the collected data are locally processed and stored;
the network communication unit is responsible for establishing wireless connection with the remote server and realizing data transmission and communication, the unit supports various wireless communication protocols so as to adapt to different network environments, and through the module, the sensor node can perform real-time data interaction with the remote server;
the remote server is used for receiving, processing and storing the data acquired by the sensor nodes, has strong calculation and storage capacity to meet the requirement of large-scale data acquisition, and can also provide the data management and analysis functions to support the further utilization of the acquired data by a user;
and the data management and analysis platform is used for monitoring, analyzing and visualizing the acquired data in real time, and can provide rich data processing and analysis tools to help users to better understand and utilize the acquired data.
2. The remote data acquisition system for a wireless network of claim 1, wherein: the sensor node unit comprises the following sub-modules:
and (3) data acquisition: the sensor node is responsible for collecting data of various physical quantities or states in the environment in real time, converting the data into digital signals and sending the digital signals to the remote server through the communication module, and the system can comprehensively know the real-time state of the environment through the data collection function of the sensor node;
and (3) data transmission: the sensor node transmits the acquired data to a remote server through a network communication module, so that bidirectional communication with the server is realized;
environmental monitoring: the sensor node can monitor various physical quantities or states in the environment in real time, provide environment monitoring and alarming functions, timely identify abnormal conditions and send alarms so as to protect environment safety and improve production efficiency;
remote control: the sensor node not only can collect environment data, but also can receive a control instruction sent by the remote server to realize remote control of the environment, and the system can adjust environment parameters, such as temperature control, illumination intensity adjustment and the like, through the sensor node to realize accurate control and adjustment of the environment;
system expansibility: the sensor nodes are distributed in the system, the number of the nodes can be flexibly increased or reduced, the expansibility of the system is realized, the system can cover a wider area by adding more sensor nodes, more environmental data are collected, and the requirements of different scenes and applications are met.
3. The remote data acquisition system for a wireless network of claim 1, wherein: the network communication unit comprises the following sub-modules:
wireless communication technology: the network communication module adopts a wireless communication technology to realize wireless data transmission between the sensor node and the remote server, and the wireless communication technology enables the sensor node to be flexibly deployed at different positions, and the limitation of wiring is eliminated;
data transmission protocol: the network communication module uses a specific data transmission protocol to ensure the reliability and the high efficiency of data transmission between the sensor node and the remote server;
data encryption and security: in order to protect the security of the data, the network communication module uses an encryption algorithm to encrypt the data, so as to prevent the data from being illegally accessed or tampered;
remote server interface: the network communication module communicates through an interface provided by the remote server, establishes a connection with the server using a specific communication protocol, and transmits and receives data through the connection;
heartbeat detection and reconnection mechanism: in order to maintain the stability of communication, the network communication module realizes a heartbeat detection and reconnection mechanism, the sensor node periodically sends heartbeat packets to the server for detecting communication connectivity, and if the response of the server is not received for a plurality of times continuously, the communication module automatically tries to reconnect the server so as to ensure the reliability of data transmission.
4. The remote data acquisition system for a wireless network of claim 1, wherein: the remote server comprises the following submodules:
data analysis and mining: the remote server can analyze and mine the sensor data in real time, and by applying machine learning and data mining algorithms, the mode, trend and abnormality in the data are identified, so that more accurate data analysis and decision support is provided for users;
real-time monitoring and alarming: the remote server can monitor the data sent by the sensor node in real time, send out an alarm and a notice according to a preset threshold value or rule, and the user can receive the alarm information through mobile phone application or electronic mail and take corresponding measures in time;
data visualization and reporting: the remote server can visually display the sensor data, intuitively display the change trend and state information of the environmental data in the forms of charts, dashboards and the like, and a user can customize a report to derive a data analysis result for analysis, decision making and reporting;
data storage and backup: the remote server can provide reliable data storage and backup functions, long-term storage and protection of sensor data are ensured, and the expandability of the system and the safety of the data can be improved by adopting a distributed storage or cloud storage technology;
remote control and configuration: the remote server can be in bidirectional communication with the sensor nodes to realize remote control and configuration, and a user can set, adjust parameters or send control instructions to the sensor nodes through the remote server to realize remote monitoring and control of the environment.
5. The remote data acquisition system for a wireless network of claim 1, wherein: the data management and analysis unit further comprises the following sub-modules:
multidimensional data management: the data management platform can support multidimensional data management, so that a user can conveniently and quickly search and acquire data under specific conditions;
real-time data processing: the data management platform can process and calculate real-time data and provide high-quality input data for subsequent data analysis;
big data storage and distributed computing: the data management platform can adopt a large data storage and distributed computing technology to cope with the challenges of increasing data size and provide efficient data storage and processing capacity;
advanced data analysis: the data management platform can support an advanced data analysis function, is used for finding hidden modes in data, performing anomaly detection and the like, and provides deeper insight and decision support for users;
user-defined algorithms and models: the data management platform can provide an interface for a user to customize an algorithm and a model, so that a user is allowed to develop the algorithm and train the model according to own needs, and personalized data analysis and processing are realized;
visual analysis and reporting: the data management platform can provide rich visual analysis tools and report generation functions, intuitively display data analysis results in the form of charts, maps and the like, and help users to quickly understand and utilize data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311366343.5A CN117395625A (en) | 2023-10-20 | 2023-10-20 | Remote data acquisition system for wireless network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311366343.5A CN117395625A (en) | 2023-10-20 | 2023-10-20 | Remote data acquisition system for wireless network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117395625A true CN117395625A (en) | 2024-01-12 |
Family
ID=89436911
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311366343.5A Pending CN117395625A (en) | 2023-10-20 | 2023-10-20 | Remote data acquisition system for wireless network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117395625A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118407050A (en) * | 2024-05-27 | 2024-07-30 | 中化学建设集团有限公司 | Big data-based water and electricity pipeline integrated hidden groove surface-mounted anti-corrosion protection system and method |
| CN119342079A (en) * | 2024-10-31 | 2025-01-21 | 深圳淏华玛格节能环保科技有限公司 | Contract water saving management platform |
| CN119555131A (en) * | 2024-12-09 | 2025-03-04 | 淄博市临淄区垢皋林场 | A smart forestry monitoring system |
-
2023
- 2023-10-20 CN CN202311366343.5A patent/CN117395625A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118407050A (en) * | 2024-05-27 | 2024-07-30 | 中化学建设集团有限公司 | Big data-based water and electricity pipeline integrated hidden groove surface-mounted anti-corrosion protection system and method |
| CN119342079A (en) * | 2024-10-31 | 2025-01-21 | 深圳淏华玛格节能环保科技有限公司 | Contract water saving management platform |
| CN119555131A (en) * | 2024-12-09 | 2025-03-04 | 淄博市临淄区垢皋林场 | A smart forestry monitoring system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN117395625A (en) | Remote data acquisition system for wireless network | |
| CN110601876A (en) | Intelligent Internet of things platform | |
| Gisbert et al. | Integrated system for control and monitoring industrial wireless networks for labor risk prevention | |
| US12160440B2 (en) | Method and system to detect abnormal message transactions on a network | |
| CN112104659A (en) | Real-time monitoring platform based on government affair application safety | |
| CN117252540A (en) | Comprehensive management system for IDC (internet data center) machine room of data center | |
| CN115877802A (en) | Production process data acquisition and monitoring method and system | |
| CN117119496A (en) | LTE wireless network evaluation method and server | |
| CN111082987B (en) | Ubiquitous power Internet of things-oriented wiring network operation and maintenance system and method | |
| CN118400191B (en) | Industrial control network attack event tracing processing method and device | |
| CA2860439A1 (en) | Released offender geospatial location information clearinghouse | |
| CN111726810A (en) | Wireless Signal Monitoring and Wireless Communication Behavior Audit System in NC Machining Environment | |
| CN104793570A (en) | Portable motor train unit fault processing support equipment and portable motor train unit fault processing support system | |
| CN114978976A (en) | SRv6 fusion network data anomaly detection method and device | |
| EP4418576B1 (en) | Apparatus and method for remote monitoring | |
| CN118074943A (en) | Network security situation sensing system under AGV logistics scene | |
| CN115604013B (en) | Industrial data interaction platform and interaction method | |
| CN111302177A (en) | Equipment running state feedback monitoring method and device | |
| CN109412861A (en) | A kind of terminal network establishes security association methods of exhibiting | |
| CN204086959U (en) | PREDICTIVE CONTROL realizes field produces well pattern intelligence managing and control system | |
| Tomforde et al. | Smaccs: Smart camera cloud services-towards an intelligent cloud-based surveillance system | |
| Constantinescu et al. | VizNet—Dynamic visualization of networks and internet of things | |
| Shelke et al. | Exploring the Possibilities of Splunk Enterprise Security in Advanced Cyber Threat Detection | |
| CN111508205A (en) | Module for measuring laboratory gas | |
| Zhu et al. | A survey of big data and computational intelligence in networking |
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 |