CN109714600B - Compatible big data acquisition system - Google Patents
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Abstract
The invention relates to a compatible big data acquisition system, which comprises: the VC-1 video acquisition structure comprises forward transformation equipment, forward quantization equipment, intra-frame prediction equipment and inter-frame prediction equipment; in the VC-1 video capture architecture, the forward transform device is configured to receive a video input data stream to perform a forward transform process on the video input data stream. The compatible big data acquisition system has clear logic and compact design. The capacity of a receiving data buffer area of the forward quantization equipment can be adjusted based on the processing bit number of the forward conversion equipment in unit time, and weighted average processing can be carried out on each parameter of the detected equipment and one or more currently unused suspension pins of the equipment related to the detected equipment, so that the silicon wafer entity temperature of valuable equipment is obtained.
Description
Technical Field
The invention relates to the field of data analysis, in particular to a compatible big data acquisition system.
Background
The main activities of the data analysis process consist of identifying information requirements, collecting data, analyzing data, evaluating and improving the effectiveness of the data analysis.
The identification information requirement is a primary condition for ensuring the effectiveness of the data analysis process, and can provide clear targets for collecting and analyzing data. Identifying information requirements is the manager's responsibility who should place a demand for information based on the decision making and process control requirements. In terms of process control, an administrator should identify requirements to leverage those information in order to review process inputs, process outputs, rationality of resource allocation, optimization schemes for process activities, and discovery of process anomaly variations.
Disclosure of Invention
According to an aspect of the present invention, there is provided a compatible big data collecting system, the system comprising: the VC-1 video acquisition structure comprises forward transformation equipment, forward quantization equipment, intra-frame prediction equipment and inter-frame prediction equipment; wherein, in the VC-1 video acquisition structure, the forward conversion device is used for receiving a video input data stream to execute forward conversion processing on the video input data stream.
More specifically, in the compatible big data collecting system: in the VC-1 video acquisition structure, the forward quantization equipment is connected with the forward transformation equipment and is used for executing forward quantization processing on data output by the forward transformation equipment.
More specifically, in the compatible big data collecting system: the VC-1 video acquisition structure also comprises entropy coding equipment which is respectively connected with the intra-frame prediction equipment and the inter-frame prediction equipment and is used for outputting VC-1 format data.
More specifically, in the compatible big data collecting system: in the VC-1 video acquisition structure, the forward quantization equipment is respectively connected with the inter-frame prediction equipment and the intra-frame prediction equipment.
More specifically, in the compatible big data collecting system, the system further includes: the buffer adjustment device is used for adjusting the capacity of a receiving data buffer area of the forward quantization device based on the processing bit number per unit time of the forward conversion device; adjusting the capacity size of the received data buffer of the forward quantization device based on the number of processing bits per unit time of the forward transform device comprises: the more the number of processing bits per unit time of the forward conversion equipment is, the larger the capacity of a receiving data buffer area of the adjusted forward quantization equipment is; the multi-parameter detection device is respectively connected with the currently unused suspension pins of the forward conversion device, the forward quantization device and the intra-frame prediction device so as to obtain the current temperature of the currently unused suspension pins of the forward conversion device, the current temperature of the currently unused suspension pins of the forward quantization device and the current temperature of the currently unused suspension pins of the intra-frame prediction device; and the MCU control chip is connected with the multi-parameter detection device and is used for receiving the current temperature of the current unused suspension pin of the forward conversion device, the current temperature of the current unused suspension pin of the forward quantization device and the current temperature of the current unused suspension pin of the intra-frame prediction device, and performing weighted mean operation on the current temperature of the current unused suspension pin of the forward conversion device, the current temperature of the current unused suspension pin of the forward quantization device and the current temperature of the current unused suspension pin of the intra-frame prediction device to obtain the reference pin temperature.
The invention has at least the following three key points:
(1) adjusting the capacity of a receiving data buffer area of the forward quantization equipment based on the unit time processing bit number of the forward conversion equipment;
(2) because the silicon chip structure of the equipment is not suitable for directly carrying parameter detection equipment to carry out field parameter detection, the weighted average processing is carried out on each parameter of the detected equipment and the currently unused suspension pins of one or more pieces of equipment related to the detected equipment, and a weighing mechanism is introduced to carry out weighing operation on the processing result so as to obtain the silicon chip entity temperature of valuable equipment;
(3) and simultaneously switching the complexity of the received data of the current equipment and the associated equipment according to the value of the surface temperature of the current equipment, so that the complexity of the received data of each switched equipment is inversely proportional to the value of the surface temperature of the current equipment.
The compatible big data acquisition system has clear logic and compact design. The capacity of a receiving data buffer area of the forward quantization equipment can be adjusted based on the processing bit number of the forward conversion equipment in unit time, and weighted average processing can be carried out on each parameter of the detected equipment and one or more currently unused suspension pins of the equipment related to the detected equipment, so that the silicon wafer entity temperature of valuable equipment is obtained.
Detailed Description
Embodiments of the compatible big data collection system of the present invention will be described in detail below.
VC-1, the full name VC-1 Video Codec (Video Codec1), is a Video Codec system developed by Microsoft. A standardization application was proposed in 2003 with the earliest name being VC-9. The standard was the 4 month formal pass in 2006. Microsoft delivered the VC-1 encoding format (development code Corona) 9 months in 2003, VC-1 was based on the Microsoft Windows Media Video 9(WMV9) format, and the WMV9 format has now become an actual implementation part of the VC-1 standard. The VC-1 video coding standard proposed and developed by microsoft was not formally promulgated by the Society of Motion Picture and Television Engineers (SMPTE) until 2006.
At present, in VC-1 video acquisition, the capacity of a receiving data cache region of a quantization device cannot be flexibly set, and a silicon wafer structure of a device used for VC-1 video acquisition is not suitable for directly carrying parameter detection equipment to carry out on-site parameter detection, so that the silicon wafer entity temperature of valuable equipment cannot be obtained.
In order to overcome the defects, the invention builds a compatible big data acquisition system, and can effectively solve the corresponding technical problem.
The compatible big data acquisition system shown according to the embodiment of the invention comprises:
the VC-1 video acquisition structure comprises forward transformation equipment, forward quantization equipment, intra-frame prediction equipment and inter-frame prediction equipment;
wherein, in the VC-1 video acquisition structure, the forward conversion device is used for receiving a video input data stream to execute forward conversion processing on the video input data stream.
Next, the detailed structure of the big data collection system with compatibility according to the present invention will be further described.
In the compatible big data acquisition system:
in the VC-1 video acquisition structure, the forward quantization equipment is connected with the forward transformation equipment and is used for executing forward quantization processing on data output by the forward transformation equipment.
In the compatible big data acquisition system:
the VC-1 video acquisition structure also comprises entropy coding equipment which is respectively connected with the intra-frame prediction equipment and the inter-frame prediction equipment and is used for outputting VC-1 format data.
In the compatible big data acquisition system:
in the VC-1 video acquisition structure, the forward quantization equipment is respectively connected with the inter-frame prediction equipment and the intra-frame prediction equipment.
The compatibility big data acquisition system can further comprise:
the buffer adjustment device is used for adjusting the capacity of a receiving data buffer area of the forward quantization device based on the processing bit number per unit time of the forward conversion device;
adjusting the capacity size of the received data buffer of the forward quantization device based on the number of processing bits per unit time of the forward transform device comprises: the more the number of processing bits per unit time of the forward conversion equipment is, the larger the capacity of a receiving data buffer area of the adjusted forward quantization equipment is;
the multi-parameter detection device is respectively connected with the currently unused suspension pins of the forward conversion device, the forward quantization device and the intra-frame prediction device so as to obtain the current temperature of the currently unused suspension pins of the forward conversion device, the current temperature of the currently unused suspension pins of the forward quantization device and the current temperature of the currently unused suspension pins of the intra-frame prediction device;
the MCU control chip is connected with the multi-parameter detection device and used for receiving the current temperature of the current unused suspension pins of the forward conversion device, the current temperature of the current unused suspension pins of the forward quantization device and the current temperature of the current unused suspension pins of the intra-frame prediction device and performing weighted mean operation on the current temperature of the current unused suspension pins of the forward conversion device, the current temperature of the current unused suspension pins of the forward quantization device and the current temperature of the current unused suspension pins of the intra-frame prediction device to obtain a reference pin temperature;
the field storage device is used for pre-storing three weight values of the current temperature of the current unused suspension pin of the forward conversion device, the current temperature of the current unused suspension pin of the forward quantization device and the current temperature of the current unused suspension pin of the intra-frame prediction device which respectively participate in weighted mean calculation;
the voice alarm equipment is connected with the MCU control chip and used for receiving the entity temperature of the silicon wafer and carrying out corresponding voice alarm operation when the entity temperature of the silicon wafer is not within a preset temperature range;
the parameter capturing device is arranged on the surface of the forward conversion device and used for detecting the temperature of the surface of the forward conversion device to be output as the device surface temperature;
the data regulation and control equipment is respectively connected with the FLASH memory chip, the positive quantization equipment and the signal judgment equipment, and the positive quantization equipment is arranged near the positive transformation equipment and is connected with the positive transformation equipment;
the FLASH storage chip is connected with the data regulating and controlling equipment and is used for storing the mapping relation between the surface temperature and the complexity of the received data;
the signal judgment equipment is connected with the parameter capture equipment, is used for receiving the surface temperature of the equipment, and sends out a temperature standard exceeding instruction when the received surface temperature of the equipment is greater than or equal to a preset temperature threshold value, and is also used for sending out a temperature standard combining instruction when the surface temperature of the equipment is less than the preset temperature threshold value;
the data regulation and control equipment is used for switching the complexity of the received data of the positive quantization equipment based on the value of the surface temperature of the equipment and switching the complexity of the received data of the positive transformation equipment based on the value of the surface temperature of the equipment when the temperature standard exceeding instruction is received;
the data regulation and control equipment is further used for maintaining the complexity of the received data of the positive quantization equipment and maintaining the complexity of the received data of the positive transformation equipment when the temperature scaling instruction is received;
wherein, in the data conditioning device, switching the complexity of the received data of the positive quantization device based on the value of the device surface temperature comprises: the complexity of the received data of the switched positive quantizing device is inversely proportional to the value of the surface temperature of the device.
In the compatible big data acquisition system:
in the data conditioning device, switching the complexity of the received data of the positive quantization device based on the value of the device surface temperature includes: the complexity of the received data of the switched forward converting device is inversely proportional to the value of the surface temperature of the device.
In the compatible big data acquisition system:
the voice alarm equipment comprises a parameter matching unit and a voice alarm chip, wherein the parameter matching unit is connected with the voice alarm chip.
In the compatible big data acquisition system:
the MCU control chip is also used for multiplying the obtained reference pin temperature by a balance factor to obtain the silicon wafer entity temperature of the forward conversion equipment.
In the compatible big data acquisition system:
in the field storage device, the current temperature of the currently unused suspension pin of the forward conversion device, the current temperature of the currently unused suspension pin of the forward quantization device and the current temperature of the currently unused suspension pin of the intra-frame prediction device are different in size, wherein the three weight values respectively participate in weighted mean calculation;
and the field storage device is connected with the MCU control chip and is used for pre-storing the weighing factors.
In addition, a Micro Control Unit (MCU), also called a single chip Microcomputer (single chip Microcomputer) or a single chip Microcomputer (MCU), properly reduces the frequency and specification of a Central Processing Unit (CPU), and integrates peripheral interfaces such as a memory (memory), a counter (Timer), a USB, an a/D converter, a UART, a PLC, a DMA, and the like, and even an LCD driving circuit on a single chip to form a chip-level computer, which performs different combination control for different applications. Such as mobile phones, PC peripherals, remote controls, to automotive electronics, industrial stepper motors, robotic arm controls, etc., see the silhouette of the MCU.
The 32-bit MCU can be said to be the mainstream of the MCU market, the price of a single MCU is between 1.5 and 4 dollars, the working frequency is mostly between 100 and 350MHz, the execution efficiency is better, and the application types are also multiple. However, the length of the program code with the same function of the 32-bit MCU is increased by 30-40% compared with that of the 8/16-bit MCU due to the increase of the operand and the length of the memory, which causes that the capacity of the embedded OTP/FlashROM memory cannot be too small, and the number of external pins of the chip is greatly increased, thereby further limiting the cost reduction capability of the 32-bit MCU.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (4)
1. A compatible big data collection system, comprising:
the VC-1 video acquisition structure comprises forward transformation equipment, forward quantization equipment, intra-frame prediction equipment and inter-frame prediction equipment;
wherein, in the VC-1 video acquisition structure, the forward conversion device is used for receiving a video input data stream to execute forward conversion processing on the video input data stream;
in the VC-1 video acquisition structure, the forward quantization equipment is connected with the forward transformation equipment and is used for executing forward quantization processing on data output by the forward transformation equipment;
the VC-1 video acquisition structure also comprises entropy coding equipment which is respectively connected with the intra-frame prediction equipment and the inter-frame prediction equipment and is used for outputting VC-1 format data;
in the VC-1 video acquisition structure, the forward quantization equipment is respectively connected with the inter-frame prediction equipment and the intra-frame prediction equipment;
the system further comprises:
the buffer adjustment device is used for adjusting the capacity of a receiving data buffer area of the forward quantization device based on the processing bit number per unit time of the forward conversion device;
adjusting the capacity size of the received data buffer of the forward quantization device based on the number of processing bits per unit time of the forward transform device comprises: the more the number of processing bits per unit time of the forward conversion equipment is, the larger the capacity of a receiving data buffer area of the adjusted forward quantization equipment is;
the multi-parameter detection device is respectively connected with the currently unused suspension pins of the forward conversion device, the forward quantization device and the intra-frame prediction device so as to obtain the current temperature of the currently unused suspension pins of the forward conversion device, the current temperature of the currently unused suspension pins of the forward quantization device and the current temperature of the currently unused suspension pins of the intra-frame prediction device;
the MCU control chip is connected with the multi-parameter detection device and used for receiving the current temperature of the current unused suspension pins of the forward conversion device, the current temperature of the current unused suspension pins of the forward quantization device and the current temperature of the current unused suspension pins of the intra-frame prediction device and performing weighted mean operation on the current temperature of the current unused suspension pins of the forward conversion device, the current temperature of the current unused suspension pins of the forward quantization device and the current temperature of the current unused suspension pins of the intra-frame prediction device to obtain a reference pin temperature;
the field storage device is used for pre-storing three weight values of the current temperature of the current unused suspension pin of the forward conversion device, the current temperature of the current unused suspension pin of the forward quantization device and the current temperature of the current unused suspension pin of the intra-frame prediction device which respectively participate in weighted mean calculation;
the voice alarm equipment is connected with the MCU control chip and used for receiving the entity temperature of the silicon wafer and carrying out corresponding voice alarm operation when the entity temperature of the silicon wafer is not within a preset temperature range;
the parameter capturing device is arranged on the surface of the forward conversion device and used for detecting the temperature of the surface of the forward conversion device to be output as the device surface temperature;
the data regulation and control equipment is respectively connected with the FLASH memory chip, the positive quantization equipment and the signal judgment equipment, and the positive quantization equipment is arranged near the positive transformation equipment and is connected with the positive transformation equipment;
the FLASH storage chip is connected with the data regulating and controlling equipment and is used for storing the mapping relation between the surface temperature and the complexity of the received data;
the signal judgment equipment is connected with the parameter capture equipment, is used for receiving the surface temperature of the equipment, and sends out a temperature standard exceeding instruction when the received surface temperature of the equipment is greater than or equal to a preset temperature threshold value, and is also used for sending out a temperature standard combining instruction when the surface temperature of the equipment is less than the preset temperature threshold value;
the data regulation and control equipment is used for switching the complexity of the received data of the positive quantization equipment based on the value of the surface temperature of the equipment and switching the complexity of the received data of the positive transformation equipment based on the value of the surface temperature of the equipment when the temperature standard exceeding instruction is received;
the data regulation and control equipment is further used for maintaining the complexity of the received data of the positive quantization equipment and maintaining the complexity of the received data of the positive transformation equipment when the temperature scaling instruction is received;
wherein, in the data conditioning device, switching the complexity of the received data of the positive quantization device based on the value of the device surface temperature comprises: the complexity of the received data of the switched positive quantizing device is inversely proportional to the value of the surface temperature of the device.
2. The compatible big data acquisition system of claim 1, wherein:
in the data conditioning device, switching the complexity of the received data of the positive quantization device based on the value of the device surface temperature includes: the complexity of the received data of the switched forward converting device is inversely proportional to the value of the surface temperature of the device.
3. The compatible big data collection system of claim 2, wherein:
the voice alarm equipment comprises a parameter matching unit and a voice alarm chip, wherein the parameter matching unit is connected with the voice alarm chip.
4. The compatible big data collection system of claim 3, wherein:
the MCU control chip is also used for multiplying the obtained reference pin temperature by a balance factor to obtain the silicon wafer entity temperature of the forward conversion equipment.
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