CN112217863B - Efficient utilization method for edge equipment resources - Google Patents
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Abstract
The invention discloses a method for efficiently utilizing edge equipment resources, which divides power grid management and control equipment into: the terminal signal acquisition device (1), the terminal signal transmission device (2), the signal transfer device (3), the central processing device (4) and the terminal server (5); the terminal signal acquisition equipment (1), the terminal signal transmission equipment (2) and the transmission equipment (2 b) with operation energy storage capacity are used for two types; dividing the signal transfer equipment (3) into a standard class and a class of equipment with operation storage capacity respectively; the central processing equipment (4) and the terminal server (5) have cloud computing functions; the collecting device (1 b) with the operation energy storage capability, the transmitting device (2 b) with the operation energy storage capability and the transit device (3 b) with the operation energy storage capability all have edge calculation functions. The invention optimizes the edge calculation in a data processing mode, and fully mobilizes the working efficiency of each stage of equipment with operation energy storage capacity.
Description
Technical Field
The invention relates to a method for efficiently utilizing edge equipment resources, belonging to the technical field of electrical engineering.
Background
The comprehensive control of the power grid through the computer system is one of important control links for realizing the rapid development of the power system, and particularly, the requirements on the control data processing of all nodes are increasingly increased along with the explosive development of the power grid in China.
To meet the objective needs of rapid development of the power grid, edge computing technology is gradually popularized to the power grid computer system. Edge computing is a distributed processing and storage architecture that is closer to the source of the data. Edge computation is closer to the terminal than cloud computation, there are many good characteristics. However, for historical reasons, a large number of various devices with different manufacturers, different models and different configurations exist in the power grid equipment in China, if the equipment is required to be completely eliminated and the technical specifications are unified, the replacement cost is high at one time, the replacement period is long at the other time, the energy consumption is high at the other time, and the implementation difficulty is relatively high.
In early development, the power grid management mainly adopts pyramid type hierarchical management from top to bottom, and part of equipment systems are updated into more advanced cloud computing technologies, so that the data of the bottom layer is sampled, monitored and transmitted to the top-most layer and centrally arranged servers, and the data are centrally operated, so that the energy consumption is reduced and the unified management is realized.
If the existing computer system adopting cloud computing can be combined with the equipment adopting edge computing, the layout cost of the equipment can be reduced, and the use and the computing efficiency of the equipment can be improved. How to adapt and improve the existing power grid equipment is the focus of research.
Disclosure of Invention
The invention aims to solve the technical problem of overcoming the defects of the prior art and providing a method for efficiently utilizing the edge equipment resources, which optimizes the data processing of edge calculation.
The technical scheme adopted by the invention specifically solves the technical problems as follows:
the utility model provides a method for efficiently utilizing the resources of edge equipment, which divides power grid management and control equipment into: the terminal signal acquisition equipment, the terminal signal transmission equipment, the signal transfer equipment, the central processing equipment and the terminal server; dividing terminal signal acquisition equipment into two types of standard acquisition equipment and acquisition equipment with operation storage capacity; dividing the terminal signal transmission equipment into two transmission equipment types, namely standard transmission equipment and transmission equipment with operation storage capacity; dividing signal transfer equipment into two types of standard transfer equipment and transfer equipment with operation storage capacity;
the central processing equipment and the terminal server have cloud computing functions; the collecting equipment with the operation storage capacity, the transmission equipment with the operation storage capacity and the transfer equipment with the operation storage capacity all have edge calculation functions;
the signal data acquired by the terminal signal acquisition equipment is transmitted to the signal transfer equipment after being encoded and processed by the terminal signal transmission equipment; the signal transfer equipment encodes and processes the received signals and then transmits the signals to the terminal server through the central processing equipment or directly; the method also comprises the step of controlling the network control equipment to perform edge calculation, and specifically comprises the following steps:
step one: the calculation performance weight Sn of the standard acquisition equipment, the acquisition equipment with calculation and storage capacity, the standard transmission equipment, the transmission equipment with calculation and storage capacity, the standard transfer equipment, the transfer equipment with calculation and storage capacity, the central processing equipment and the terminal server is manually set.
The weight Tm, m of the signal acquired by the terminal signal acquisition equipment is set manually, and m is not smaller than 0.
The real-time operation duty ratio and the calculation capacity of unit time of the system are calculated respectively by the acquisition equipment with the operation storage capacity, the transmission equipment with the operation storage capacity, the transit equipment with the operation storage capacity, the central processing equipment and the terminal server.
Step two: the acquisition equipment with operation storage capacity, the transmission equipment with operation storage capacity, the transfer equipment with operation storage capacity and the central processing equipment respectively send the real-time operation duty ratio, the calculation capacity information in unit time and the equipment label information to the terminal server according to the manually set period.
Step three: the terminal server evaluates the corresponding network quality according to the real-time operation duty ratio, the calculation capability information in unit time and the number of layers transferred, which are periodically transmitted by the central processing device, according to the acquisition device with the calculation storage capability, the transmission device with the calculation storage capability, the transfer device with the calculation storage capability, the central processing device and the distribution instruction of edge calculation, and respectively transmits the distribution instruction to the acquisition device with the calculation storage capability, the transmission device with the calculation storage capability, the transfer device with the calculation storage capability and the central processing device.
Step four: the central processing equipment adjusts the respective calculated amount according to the received allocation instruction from the terminal server.
Step five: and returning to the second step for circulation according to the manually set period.
Further, as a preferred technical solution of the present invention, the hub processing device includes a storage unit, and the data generated or transferred by the terminal signal acquisition device, the terminal signal transfer device, and the signal transfer device is temporarily stored in the storage unit when the network between the signal transfer device and the terminal server is not smooth.
Further, as a preferable technical scheme of the invention, the signal transit device, the central processing device and the terminal server all comprise cellular telephone modules; when the wired communication connection terminal between the signal transfer device and/or the central processing device and the terminal server is not smooth, the signal transfer device and/or the central processing device compress the received or generated data into a brief data message and then transmit the data message wirelessly through the cellular phone module.
Further, as a preferred technical scheme of the present invention, the signal data collected by the terminal signal collecting device is encoded by the terminal signal transmitting device and then transmitted to the signal transmitting device, specifically:
the standard acquisition equipment and the acquisition equipment with operation energy storage capacity respectively perform data amplification, data coding, data analysis, data compression and equipment label information adding on the acquired data in a self-running way, and send the data to the terminal signal transmission equipment connected with the standard acquisition equipment and the acquisition equipment;
when the transmission equipment with the operation energy storage capacity receives the data independently transmitted by the standard acquisition equipment, carrying out data analysis, data compression and equipment label information adding aiming at the acquisition equipment on the data to form a data packet preprocessed by the standard acquisition equipment and a brief message of the standard acquisition equipment;
the transmission equipment with the operation storage capacity performs comprehensive data analysis, data compression and equipment label information addition on the data transmitted by the standard acquisition equipment and the acquisition equipment with the operation storage capacity together, so as to form a preprocessing data packet of the terminal signal acquisition equipment and a terminal signal acquisition equipment brief message;
and the formed standard acquisition equipment preprocessing data packet, standard acquisition equipment brief message, terminal signal acquisition equipment preprocessing data packet and terminal signal acquisition equipment brief message are transmitted to the signal transfer equipment by the transmission equipment with operation energy storage capacity.
Further, as a preferred technical scheme of the present invention, the signal transfer device encodes the received signal and then transmits the encoded signal to the terminal server through the central processing device or directly, specifically:
when the transfer equipment with the operation energy storage capacity receives the data independently transmitted by the standard transmission equipment, carrying out data analysis, data compression and equipment label information adding aiming at the acquisition equipment on the data to form a data packet preprocessed by the standard transmission equipment and a brief message of the standard transmission equipment;
the transfer equipment with the operation storage capacity performs comprehensive data analysis, data compression and equipment label information addition on the data which are jointly transferred by the standard transfer equipment and the transfer equipment with the operation storage capacity and are connected with the transfer equipment to form a preprocessing data packet of the terminal signal transfer equipment and a terminal signal transfer equipment brief message;
and the formed standard transmission device preprocessing data packet, standard transmission device brief message, end signal transmission device preprocessing data packet and end signal transmission device brief message are transmitted to the central processing device or/and the terminal server by the transfer device with operation storage capability.
Further, as a preferable technical scheme of the invention, when the central processing device receives the data transmitted by the transmission device with operation energy storage capacity through the standard transfer device, the data is subjected to data analysis, data compression and device label information adding aiming at the acquisition device, so as to form a standard transfer device preprocessing data packet and a standard transfer device brief message;
when the central processing equipment receives the data transmitted by the standard transmitting equipment through the standard transmitting equipment, the central processing equipment caches the data and waits for a coordination processing instruction or a backup instruction of the terminal server, and the method specifically comprises the following steps:
a. if the terminal server sends out a coordination processing instruction, dividing the cache data into n+2 data sub-packets to be processed, wherein n is the number of transfer devices with operation storage capacity connected with the central processing device;
the central processing equipment transmits n data sub-packets to be processed to the transfer equipment which is connected with the central processing equipment and has operation energy storage capacity to process the data together;
the central processing equipment and the terminal server respectively process the contents of 1 data sub-packet to be processed;
the data processing results of the transfer equipment and the central processing equipment with the operation energy storage capacity are summarized by the central processing equipment and then sent to the terminal server;
the terminal server backups the same data transmitted by the received standard transmitting equipment through the standard transmitting equipment, and does not process the same data;
b. if the terminal server sends a backup instruction, the central processing equipment directly backs up the cached data and does not process the cached data; the terminal server directly processes the data transmitted by the standard transmitting equipment through the standard transmitting equipment;
c. if the central processing equipment does not receive the backup instruction and the coordination processing instruction sent by the terminal server, backing up the cache data and dividing the cache data into n+1 data sub-packets to be processed, wherein n is the number of transfer equipment with operation energy storage capacity connected with the central processing equipment;
the central processing equipment transmits n data sub-packets to be processed to the transfer equipment which is connected with the central processing equipment and has operation energy storage capacity to process the data together;
the central processing equipment processes the content of the rest data sub-packets to be processed;
and the data processing results of the transfer equipment and the central processing equipment with the operation storage capacity are summarized and backed up by the central processing equipment and are sent to the terminal server.
By adopting the technical scheme, the invention can produce the following technical effects:
according to the invention, the data processing mode is optimized for the edge calculation in the field of power grid control, so that the problems of feedback lag and large influence of network factors existing when the cloud calculation is singly used and the server is concentrated for processing are avoided, and the working efficiency of each stage of equipment with operation energy storage capacity can be fully mobilized. The method further solves the problems of overlong data chain, uneven processing efficiency, untimely processing, untimely feedback and the like caused by the common use of a large number of various devices of different manufacturers, different models and different configurations in the power grid in China, and has the advantages of low maintenance cost, energy conservation, consumption reduction and the like, and the method makes bedding and preparation for the devices after the device is phased out and the technical specification is unified.
In addition, the newly configured acquisition equipment with operation storage capacity, the transmission equipment with operation storage capacity and the transfer equipment with operation storage capacity are rich in calculation capacity, so that the data processing speed of the central processing equipment and the terminal server can be effectively assisted, and only part of screened information is uploaded to the server, so that the pressure of network communication is greatly relieved.
Drawings
FIG. 1 is a schematic diagram of a hardware environment in which the method of the present invention is employed.
Fig. 2 is a flow chart of the method of the present invention.
Detailed Description
Embodiments of the present invention will be described below with reference to the drawings.
As shown in fig. 1 and fig. 2, the present invention provides a method for efficiently utilizing resources of an edge device, which first divides a network management device into: the terminal signal acquisition equipment 1, the terminal signal transmission equipment 2, the signal transit equipment 3, the central processing equipment 4 and the terminal server 5; the tail end signal acquisition equipment 1 is manually divided into two types, namely standard acquisition equipment 1a and acquisition equipment 1b with operation energy storage capacity; the tail end signal transmission equipment 2 is manually divided into a standard transmission equipment 2a and a transmission equipment 2b with operation storage capacity; manually dividing the signal transfer device 3 into two types, namely standard transfer device 3a and transfer device 3b with operation energy storage capacity; the central processing device 4 and the terminal server 5 both have cloud computing functions. The collecting device 1b with the operation energy storage capability, the transmitting device 2b with the operation energy storage capability and the transit device 3b with the operation energy storage capability all have an edge calculation function;
the signal data acquired by the terminal signal acquisition equipment 1 is transmitted to the signal transfer equipment 3 after being encoded and processed by the terminal signal transmission equipment 2; the signal transfer device 3 encodes the received signal and then transmits the encoded signal to the terminal server 5 through the central processing device 4 or directly; the method also comprises the step of controlling the network control equipment to perform edge calculation, and specifically comprises the following steps:
step one: the calculation performance weights Sn, n of the standard acquisition device 1a, the acquisition device 1b with operation storage capability, the standard transmission device 2a, the transmission device 2b with operation storage capability, the standard transmission device 3a, the transmission device 3b with operation storage capability, the central processing device 4 and the terminal server 5 are set manually, and the values 1, 2 and … … are taken.
The weight Tm, m of the signal acquired by the terminal signal acquisition device 1 is set manually to be not less than 0.
The real-time operation duty ratio and the calculation capacity of unit time of the collection device 1b with the calculation capacity, the transmission device 2b with the calculation capacity, the transit device 3b with the calculation capacity, the central processing device 4 and the terminal server 5 are respectively calculated by the collection device 1b with the calculation capacity.
Step two: the acquisition device 1b with operation energy storage capability, the transmission device 2b with operation energy storage capability, the transfer device 3b with operation energy storage capability and the central processing device 4 respectively send the respective real-time operation duty ratio, unit time computing capability information and device label information to the terminal server 5 according to the manually set period.
Step three: the terminal server 5 evaluates the corresponding network quality according to the real-time operation duty ratio, the calculation capability information in unit time and the number of transferred layers which are periodically transmitted by the central processing device 4 according to the acquisition device 1b with operation storage capability, the transfer device 2b with operation storage capability, the transfer device 3b with operation storage capability, and the central processing device 4, and respectively transmits an edge calculation allocation instruction to the acquisition device 1b with operation storage capability, the transfer device 2b with operation storage capability, the transfer device 3b with operation storage capability, and the central processing device 4.
Step four: the collection device 1b with the operation storage capability, the transmission device 2b with the operation storage capability, the transfer device 3b with the operation storage capability, and the central processing device 4 adjust the respective calculation amounts according to the received allocation instruction from the terminal server 5.
Step five: and returning to the second step for circulation according to the manually set period.
And, the central processing device 4 has a storage unit, and when the network between the signal relay device 3 and the terminal server 5 is not smooth, the data generated or relayed by the terminal signal acquisition device 1, the terminal signal transmission device 2 and the signal relay device 3 are temporarily stored in the signal relay device 3.
The signal relay device 3, the backbone processing device 4, and the terminal server 5 each include a cellular phone module. When the signal relay device 3 and/or the central processing device 4 is connected with the terminal or is not smooth through the wired communication of the terminal server 5, the received or generated data is compressed into a brief data message by the signal relay device 3 and/or the central processing device 4 and then is wirelessly transmitted through the cellular phone module.
And the acquisition device 1b with the operation capability performs data amplification, data coding, data analysis, data compression and device label information adding on the acquired data in a self-running mode and sends the data to the tail end signal transmission device 2 connected with the acquisition device.
When the transmission equipment 2b with the operation storage capability receives the data independently transmitted by the standard acquisition equipment 1a, the data is subjected to data analysis, data compression and equipment label information adding aiming at the acquisition equipment to form a data packet preprocessed by the standard acquisition equipment 1a and a brief message of the standard acquisition equipment 1 a.
The transmission equipment 2b with the operation storage capacity performs comprehensive data analysis, data compression and equipment label information adding on the data transmitted by the standard acquisition equipment 1a and the acquisition equipment 1b with the operation storage capacity together, so as to form a preprocessing data packet of the terminal signal acquisition equipment 1 and a brief message of the terminal signal acquisition equipment 1.
Then, the formed standard acquisition device 1a preprocessing data packet, standard acquisition device 1a brief message, end signal acquisition device 1 preprocessing data packet, end signal acquisition device 1 brief message are all transmitted to the signal transit device 3 by the transmission device 2b with operation storage capability.
Further, the standard relay device 3a is connected to and communicates with the backbone processing device 4 and the terminal server 5, respectively. The relay device 3b having arithmetic storage capability is connected to and communicates with the backbone processing device 4 or/and the terminal server 5.
When the transfer device 3b with the operation energy storage capability receives the data independently transferred by the standard transfer device 2a, the data is subjected to data analysis, data compression and device label information adding aiming at the acquisition device, so that a data packet preprocessed by the standard transfer device 2a and a brief message of the standard transfer device 2a are formed.
The transfer device 3b with operation storage capability performs comprehensive data analysis, data compression and device label information adding on the data transferred by the standard transfer device 2a and the transfer device 2b with operation storage capability together, so as to form a preprocessing data packet of the end signal transfer device 2 and a brief message of the end signal transfer device 2.
The formed standard transmission device 2a pre-processing data packet, standard transmission device 2a brief message, end signal transmission device 2 pre-processing data packet and end signal transmission device 2 brief message are transmitted to the central processing device 4 and/or the terminal server 5 by the transit device 3b with operation storage capability.
Further, when the central processing device 4 receives the data transmitted by the transmission device 2b with the operation storage capability through the standard transfer device 3a, the data analysis, the data compression and the device label information adding aiming at the acquisition device are carried out on the data, so that a data packet preprocessed by the standard transfer device 3a and a brief message of the standard transfer device 3a are formed.
When the central processing device 4 receives the data transferred from the standard transfer device 2a via the standard transfer device 3a, it caches the data and waits for a coordination processing instruction or a backup instruction of the terminal server 5, specifically as follows:
a. if the terminal server 5 sends out a coordination processing instruction, the cache data is divided into n+2 data sub-packets to be processed, wherein n is the number of transit devices 3b with operation storage capacity connected with the central processing device 4.
The hub processing device 4 transmits the n data sub-packets to be processed to the relay device 3b with operation storage capability connected with the hub processing device to process the data together.
The central processing device 4 and the terminal server 5 respectively process the contents of 1 data sub-packet to be processed.
The data processing results of the relay device 3b and the central processing device 4 with the operation capability are summarized by the central processing device 4 and then sent to the terminal server 5.
The terminal server 5 backs up the same data received from the standard transfer device 2a transferred via the standard transfer device 3a, without processing.
b. If the terminal server 5 sends a backup instruction, the central processing device 4 directly backs up the cached data and does not process the cached data. The data transferred from the standard transfer device 2a via the standard transfer device 3a is directly processed by the terminal server 5.
c. If the central processing device 4 does not receive the backup instruction and the coordination processing instruction sent by the terminal server 5, the cached data is backed up and divided into n+1 data sub-packets to be processed, where n is the number of relay devices 3b with operation storage capacity connected with the central processing device 4.
The hub processing device 4 transmits the n data sub-packets to be processed to the relay device 3b with operation storage capability connected with the hub processing device to process the data together.
The hub processing device 4 processes the contents of the remaining sub-packets of data to be processed.
The data processing results of the transfer device 3b and the central processing device 4 with the operation storage capability are summarized and backed up by the central processing device 4 and are sent to the terminal server 5.
In conclusion, the method optimizes the data processing mode for the edge calculation in the field of power grid control, on one hand, the problems of feedback lag and large influence of network factors existing when the cloud calculation is singly used and the server is concentrated for processing are avoided, and the working efficiency of equipment with operation energy storage capacity at each stage can be fully mobilized. The data processing speed of the central processing equipment and the terminal server can be effectively assisted, and only a part of screened information is required to be uploaded to the server, so that the pressure of network communication is greatly relieved.
The embodiments of the present invention have been described in detail with reference to the drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the spirit of the present invention.
Claims (6)
1. The utility model provides a method for efficiently utilizing the resources of edge equipment, which is characterized in that a network management and control device is divided into: the terminal signal acquisition device (1), the terminal signal transmission device (2), the signal transfer device (3), the central processing device (4) and the terminal server (5); the terminal signal acquisition equipment (1) is divided into two types, namely standard acquisition equipment (1 a) and acquisition equipment (1 b) with operation energy storage capacity; dividing the tail end signal transmission equipment (2) into a standard transmission equipment (2 a) and a transmission equipment (2 b) with operation energy storage capacity; dividing the signal transfer equipment (3) into two classes, namely standard transfer equipment (3 a) and transfer equipment (3 b) with operation energy storage capacity; the central processing equipment (4) and the terminal server (5) have cloud computing functions; the collecting device (1 b) with the operation energy storage capacity, the transmitting device (2 b) with the operation energy storage capacity and the transit device (3 b) with the operation energy storage capacity all have edge calculation functions;
the signal data collected by the terminal signal collection equipment (1) is transmitted to the signal transfer equipment (3) after being encoded and processed by the terminal signal transmission equipment (2); the signal transfer device (3) encodes the received signal and then transmits the encoded signal to the terminal server (5) through the central processing device (4) or directly; the method also comprises the step of controlling the network control equipment to perform edge calculation, and specifically comprises the following steps:
step one: the method comprises the steps of manually setting calculation performance weights Sn of a standard acquisition device (1 a), an acquisition device (1 b) with calculation energy storage capacity, a standard transmission device (2 a), a transmission device (2 b) with calculation energy storage capacity, a standard transmission device (3 a), a transmission device (3 b) with calculation energy storage capacity, a central processing device (4) and a terminal server (5);
manually setting the weight Tm of the signal acquired by the terminal signal acquisition equipment (1);
the real-time calculation duty ratio and the calculation capacity of unit time of the collection equipment (1 b) with calculation energy storage capacity, the transmission equipment (2 b) with calculation energy storage capacity, the transit equipment (3 b) with calculation energy storage capacity, the central processing equipment (4) and the terminal server (5) are respectively calculated;
step two: the acquisition equipment (1 b) with the operation energy storage capacity, the transmission equipment (2 b) with the operation energy storage capacity, the transit equipment (3 b) with the operation energy storage capacity and the central processing equipment (4) respectively send respective real-time operation duty ratio, calculation capacity information of unit time and equipment label information to the terminal server (5) according to a manually set period;
step three: the terminal server (5) respectively sends an edge calculation allocation instruction to the acquisition device (1 b) with the operation storage capacity, the transmission device (2 b) with the operation storage capacity, the transmission device (3 b) with the operation storage capacity and the central processing device (4) according to the real-time operation duty ratio, the calculation capacity information in unit time and the equipment label information which are periodically transmitted by the central processing device (4) and the transmitted layer number evaluation corresponding network quality;
step four: the central processing device (4) adjusts the calculated amount according to the received distribution instruction from the terminal server (5);
step five: and returning to the second step for circulation according to the manually set period.
2. The efficient edge device resource utilization method according to claim 1, wherein the hub processing device (4) comprises a storage unit, and the data generated or transferred by the end signal acquisition device (1), the end signal transfer device (2) and the signal transfer device (3) are temporarily stored in the storage unit when the network between the signal transfer device (3) and the terminal server (5) is not smooth.
3. The efficient edge device resource utilization method according to claim 1, wherein the signal transit device (3), the hub processing device (4), and the terminal server (5) each comprise a cellular phone module; when the wired communication connection terminal between the signal transfer device (3) and/or the central processing device (4) and the terminal server (5) is not smooth, the signal transfer device (3) and/or the central processing device (4) compress the received or generated data into a brief data message and then transmit the data message wirelessly through the cellular phone module.
4. The efficient edge device resource utilization method according to claim 1, wherein the signal data collected by the terminal signal collection device (1) is encoded by the terminal signal transmission device (2) and then transmitted to the signal transmission device (3), specifically:
the standard acquisition equipment (1 a) and the acquisition equipment (1 b) with operation capability respectively perform data amplification, data coding, data analysis, data compression and equipment label information adding on the acquired data by themselves and send the data to the terminal signal transmission equipment (2) connected with the standard acquisition equipment;
when the transmission equipment (2 b) with operation energy storage capacity receives data independently transmitted by the standard acquisition equipment (1 a), carrying out data analysis, data compression and equipment label information adding aiming at the acquisition equipment on the data to form a data packet preprocessed by the standard acquisition equipment (1 a) and a brief message of the standard acquisition equipment (1 a);
the transmission equipment (2 b) with the operation energy storage capability performs comprehensive data analysis, data compression and equipment label information addition on the data transmitted by the standard acquisition equipment (1 a) and the acquisition equipment (1 b) with the operation energy storage capability together to form a preprocessing data packet of the terminal signal acquisition equipment (1) and a brief message of the terminal signal acquisition equipment (1);
the formed standard acquisition device (1 a) preprocesses the data packet, the standard acquisition device (1 a) brief message, the terminal signal acquisition device (1) preprocesses the data packet and the terminal signal acquisition device (1) brief message are transmitted to the signal transit device (3) by the transmission device (2 b) with operation energy storage capability.
5. The efficient edge device resource utilization method according to claim 1, wherein the signal relay device (3) encodes the received signal and then transmits the encoded signal to the terminal server (5) through the central processing device (4) or directly, specifically:
when the transfer equipment (3 b) with operation energy storage capacity receives the data independently transferred by the standard transfer equipment (2 a), carrying out data analysis, data compression and equipment label information adding aiming at the acquisition equipment on the data to form a pre-processed data packet of the standard transfer equipment (2 a) and a brief message of the standard transfer equipment (2 a);
the transfer equipment (3 b) with the operation energy storage capability performs comprehensive data analysis, data compression and equipment label information addition on the data which are jointly transferred by the standard transfer equipment (2 a) and the transfer equipment (2 b) with the operation energy storage capability, so as to form a preprocessing data packet of the terminal signal transfer equipment (2) and a brief message of the terminal signal transfer equipment (2);
the formed standard transmission device (2 a) preprocesses the data packet, the standard transmission device (2 a) brief message, the end signal transmission device (2) preprocesses the data packet and the end signal transmission device (2) brief message to the central processing device (4) or/and the terminal server (5) by the transit device (3 b) with operation storage capability.
6. The method for efficiently utilizing the edge equipment resources according to claim 1, wherein when the central processing equipment (4) receives the data transmitted by the transmission equipment (2 b) with operation storage capacity through the standard transfer equipment (3 a), the data is subjected to data analysis, data compression and equipment label information aiming at the acquisition equipment to form a pre-processing data packet of the standard transfer equipment (3 a) and a brief message of the standard transfer equipment (3 a);
when the central processing device (4) receives the data transmitted by the standard transmitting device (2 a) through the standard transmitting device (3 a), the central processing device caches the data and waits for a coordination processing instruction or a backup instruction of the terminal server (5), specifically as follows:
a. if the terminal server (5) sends out a coordination processing instruction, dividing the cache data into n+2 data sub-packets to be processed, wherein n is the number of transfer devices (3 b) which are connected with the central processing device (4) and have operation storage capacity;
the central processing equipment (4) transmits n data sub-packets to be processed to the transit equipment (3 b) which is connected with the central processing equipment and has operation storage capacity to process the data together;
the central processing equipment (4) and the terminal server (5) respectively process the contents of 1 data sub-packet to be processed;
the data processing results of the transit equipment (3 b) and the central processing equipment (4) with the operation energy storage capacity are summarized by the central processing equipment (4) and then sent to the terminal server (5);
the terminal server (5) backs up the same data transmitted by the received standard transmission equipment (2 a) through the standard transfer equipment (3 a), and does not process the same data;
b. if the terminal server (5) sends a backup instruction, the central processing equipment (4) directly backs up the cached data and does not process the cached data; the terminal server (5) directly processes the data transmitted by the standard transmitting equipment (2 a) through the standard transmitting equipment (3 a);
c. if the central processing equipment (4) does not receive the backup instruction and the coordination processing instruction sent by the terminal server (5), backing up the cache data and dividing the cache data into n+1 data sub-packets to be processed, wherein n is the number of transfer equipment (3 b) with operation storage capacity connected with the central processing equipment (4);
the central processing equipment (4) transmits n data sub-packets to be processed to the transit equipment (3 b) which is connected with the central processing equipment and has operation storage capacity to process the data together;
the central processing equipment (4) processes the content of the rest data sub-packets to be processed;
the data processing results of the transit equipment (3 b) and the central processing equipment (4) with the operation energy storage capacity are summarized and backed up by the central processing equipment (4) and are sent to the terminal server (5).
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2692384A1 (en) * | 1992-06-11 | 1993-12-17 | Inst Francais Du Petrole | Data acquisition system provided with decentralized processing means. |
| WO2019206184A1 (en) * | 2018-04-24 | 2019-10-31 | 北京中科寒武纪科技有限公司 | Allocation system, method and apparatus for machine learning, and computer device |
| CN110413591A (en) * | 2019-07-10 | 2019-11-05 | 广州博依特智能信息科技有限公司 | A kind of industrial data acquisition method and edge calculations gateway |
| CN111047045A (en) * | 2018-10-12 | 2020-04-21 | 中科寒武纪科技股份有限公司 | Distribution system and method for machine learning operation |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9088577B2 (en) * | 2010-11-24 | 2015-07-21 | Microsoft Technology Licensing, Llc | Multimedia aware cloud for mobile device computing |
-
2020
- 2020-09-04 CN CN202010919684.0A patent/CN112217863B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2692384A1 (en) * | 1992-06-11 | 1993-12-17 | Inst Francais Du Petrole | Data acquisition system provided with decentralized processing means. |
| WO2019206184A1 (en) * | 2018-04-24 | 2019-10-31 | 北京中科寒武纪科技有限公司 | Allocation system, method and apparatus for machine learning, and computer device |
| CN111047045A (en) * | 2018-10-12 | 2020-04-21 | 中科寒武纪科技股份有限公司 | Distribution system and method for machine learning operation |
| CN110413591A (en) * | 2019-07-10 | 2019-11-05 | 广州博依特智能信息科技有限公司 | A kind of industrial data acquisition method and edge calculations gateway |
Non-Patent Citations (1)
| Title |
|---|
| 基于边缘计算模型的智能视频监控系统的设计;曾德生;骆金维;庞双龙;谢品章;陈晓丹;;智能计算机与应用(第06期);全文 * |
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