CN110809260A - Local data processing method of electricity consumption information acquisition system - Google Patents
Local data processing method of electricity consumption information acquisition system Download PDFInfo
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Abstract
The invention relates to a local data processing method of a power consumption information acquisition system, which is used for a local network of the power consumption information acquisition system, wherein the local network comprises an energy router and an energy controller, the local network is a half-duplex communication network, and the local data processing method comprises the following steps: and (3) automatic data collection: realizing automatic data collection based on a channel competition mechanism with carrier sensing and collision avoidance; and task distributed execution and optimized scheduling: local data acquisition is realized through a task generation stage and a data uploading stage; a real-time Internet of things perception step: and establishing an internet of things perception network for data acquisition and analysis. Compared with the prior art, the invention has the advantages of more efficient and real-time data acquisition and realization of effective monitoring and management of each terminal device.
Description
Technical Field
The invention relates to a power consumption information acquisition system, in particular to a local data processing method of the power consumption information acquisition system.
Background
The electricity consumption information acquisition system generally adopts a three-level structure including a main station, an acquisition terminal and an intelligent electric energy meter, wherein the main station is responsible for acquiring and processing the information of the whole network, the acquisition terminal is responsible for acquiring and processing the information of a distribution room, and the intelligent electric energy meter generates various data to be read. The acquisition terminal and the intelligent electric energy meters construct an acquisition system local communication network, the structure of the acquisition system local communication network is generally in a bus type or star type, server/client mode half-duplex communication is adopted, traditional data acquisition is generally initiated by the acquisition terminal, and each intelligent electric energy meter is read one by one according to data items. The acquisition mode has high occupancy rate on communication channels, and especially when the intelligent electric energy meters do not generate current reading data, and when the number of users in a station area is large, the acquisition terminal cannot complete polling of all the intelligent electric energy meters within a specified time, so that the acquisition success rate is reduced, and a large amount of invalid reading causes great waste of channel resources.
In order to support the ubiquitous power internet of things application of a client side, a new-generation intelligent electric energy meter (energy router) and a new-generation acquisition terminal (energy controller) both adopt a modular design concept, support more flexible data transmission and management modes, allow more terminal devices to be accessed in a ubiquitous manner, and possibly access all professional monitoring and sensing devices to a system in the future, which brings great troubles to equipment operation management and requires that the terminal communication of the system adopts a more efficient and real-time communication mode to adapt to different information acquisition requirements; meanwhile, as the types of modules are too many, the current manual management mode is difficult to adapt to future application requirements, an effective technical means is still lacked to realize the monitoring and management of the equipment, the input/exit information of the equipment cannot be mastered in real time, and effective support cannot be provided for practical requirements of other specialties.
Disclosure of Invention
The present invention aims to overcome the defects of the prior art and provide a local data processing method of a power consumption information acquisition system, which is more efficient and real-time in data acquisition and can effectively monitor and manage each terminal device.
The purpose of the invention can be realized by the following technical scheme:
a local data processing method of a power consumption information acquisition system is used for a local network of the power consumption information acquisition system, the local network comprises an energy router and an energy controller, the local network is a half-duplex communication network, and the local data processing method comprises the following steps:
and (3) automatic data collection: realizing automatic data collection based on a channel competition mechanism with carrier sensing and collision avoidance;
and task distributed execution and optimized scheduling: local data uploading is realized through a task generation stage and a data uploading stage;
a real-time Internet of things perception step: and establishing an internet of things perception network for data acquisition and analysis.
Further, the channel contention mechanism with carrier sensing and collision avoidance is a DCF mechanism based on a quality of service class, and a quality of service class is preset on each energy router.
Further, the task generation stage specifically includes that the energy controller generates task requirements based on a management policy of a distributed task, and customizes data requirements for each energy router according to the performance of each energy router.
Further, the data uploading stage specifically includes that a power utilization data uploading strategy based on a distributed structure is adopted for data acquisition.
Further, the power consumption data uploading strategy based on the distributed structure is specifically that the energy controller issues data requirements to the central coordinator in advance, the central coordinator records related information and issues the data requirements to the sites through broadcasting, the sites collect power consumption data of the energy router according to the clock timing and store the power consumption data in the sites, meanwhile, the sites report the stored power consumption data to the central coordinator according to the reporting period timing, and the energy controller reads the power consumption data in the central coordinator.
Further, in the data uploading stage, each energy router actively reports data according to the generated task.
Further, the real-time internet of things perception step specifically comprises:
and (3) establishing an internet of things perception substep: constructing a power Internet of things sensing layer equipment communication network based on an RFID technology;
and (3) an Internet of things data acquisition and analysis substep: in a pre-established Internet of things sensing and information processing platform, acquiring data transmitted by various electric Internet of things sensing layer equipment through protocol self-adaptation, and identifying equipment state information from the data transmitted by the Internet of things sensing layer equipment communication network through a neural network;
a device information acquisition substep: and acquiring equipment information corresponding to the data based on the characteristic information of the data transmitted by different sensing equipment.
Further, the device information is obtained specifically by clustering data transmitted by different sensing devices by using a pre-established clustering algorithm based on characteristic information of the data transmitted by the different sensing devices. Because the structures of different sensor devices are different, each device needs to be distinguished, data transmitted among different sensing devices has characteristic information of the device, and clustering is carried out based on the characteristic information, so that clustering distinguishing of different sensing devices can be realized.
Further, the clustering algorithm is a DBSCAN clustering algorithm.
Further, the local network further includes an edge computing node and an intermediate node, the edge computing node is used for connecting the energy router and has functions of network communication, data processing and data storage, and the intermediate node is used as a relay of the local communication network and has a function of network communication. In order to meet the requirement that an energy router of a new generation of intelligent electric meters participates in power grid regulation, a proper node is selected as an edge computing node to share the task of an energy controller, and the average end-to-end delay of flow is favorably reduced.
Compared with the prior art, the invention has the following advantages:
(1) the invention realizes the automatic collection of the data based on a channel competition mechanism with carrier sense and collision avoidance through the automatic collection of the data, thereby effectively reducing the occupation of a communication channel; the data is uploaded through the task distributed execution and optimized scheduling steps, and efficient and real-time data acquisition and uploading are realized; through the real-time internet of things sensing step, an internet of things sensing network is established, data acquisition and analysis are carried out, and effective monitoring and management of each terminal device are achieved.
(2) The invention realizes the automatic collection of data based on a channel competition mechanism with carrier sense, collision avoidance and service quality grade, can effectively reduce the occupation of a communication channel, provides precious channel resources for the real-time transmission or active reporting of important data, improves the real-time property of the reporting of the important data, and provides valuable information for management and operation decision. If the power failure information is actively reported, the active rush repair of the distribution network fault can be supported, the power failure time of a user is reduced, and the power failure range is reduced.
(3) Compared with the execution mode that all tasks are initiated by an acquisition terminal, the distributed execution and optimized scheduling strategy of the acquisition tasks is adopted, so that the execution efficiency of the acquisition tasks can be greatly improved, the resource consumption of an energy controller (replacing the acquisition terminal) is reduced, the development of more advanced application functions can be supported, the business applications such as demand side response, bidirectional interaction and the like can be better realized, and the construction of a ubiquitous power internet of things ecological circle of a client side is supported.
(4) According to the invention, the energy router divides the electricity utilization data into the data blocks to be uploaded, so that the purpose of controlling the operation mode of the electricity utilization information acquisition system is achieved, and the stability of the electricity utilization information acquisition system for data acquisition is improved.
(5) The energy controller customizes data requirements for each energy router according to the performance of each energy router, issues task requirements based on the management strategy of the distributed tasks, and ensures that each application server corresponding to the energy controller and each energy router are in a better load state, so that the overall load capacity, the resource utilization rate and the response speed of the system are improved, and the satisfaction degree of users is improved.
(6) The local network also comprises an edge computing node and a middle node, wherein the edge computing node has the functions of data processing and data storage and is used for sharing the task of the energy controller, the middle node is used as a relay of the local communication network, the requirement that an energy router of a new generation of intelligent electric meters participates in power grid regulation is met, the task of the energy controller is shared, the average end-to-end delay of flow is reduced, and therefore the response speed of data acquisition is improved.
(7) The method is based on the RFID technology, and the construction of the power Internet of things sensing layer equipment communication network is realized; the method comprises the steps that in a pre-established Internet of things sensing and information processing platform, various communication protocols are automatically adapted through protocol self-adaptation, unified access is achieved for data collected by Internet of things equipment of various manufacturers, and data transmitted by various electric power Internet of things sensing layer equipment is obtained; and the state information of the equipment is identified from the data transmitted from the equipment communication network of the sensing layer of the Internet of things through the neural network, so that advanced applications of the Internet of things, such as intelligent analysis, power-assisted intelligent Internet of things visualization, intelligent fault sensing and the like, are realized.
(8) According to the invention, the power Internet of things sensing layer equipment communication network is constructed by combining the RFID tag and the interpreter, so that the power Internet of things sensing network has the advantages of high reading speed, high safety, small size, durability, long service life and the like, and the accuracy and efficiency of Internet of things sensing are improved.
(9) According to the invention, the signal sent by the RFID tag contains the power grid asset physical ID number of the power Internet of things sensing layer equipment, so that the power Internet of things sensing layer equipment can be managed conveniently.
(10) Aiming at the problem that manual labeling cost is increased for monitoring and sensing equipment, the invention clusters data transmitted by different sensing layer equipment by adopting a pre-established clustering algorithm based on characteristic information of data transmitted by different sensing layer equipment, thereby achieving the purpose of automatically describing the equipment, realizing management of a large amount of electric power Internet of things sensing layer equipment and greatly reducing labor cost.
Drawings
FIG. 1 is a schematic flow chart of a local data processing method of the electricity consumption information acquisition system according to the present invention;
FIG. 2 is a schematic diagram of a local network structure including edge compute nodes and intermediate nodes according to the present invention;
FIG. 3 is a schematic diagram of the steps of the local network including the edge computing node and the intermediate node according to the present invention, wherein ①, ②, ③ and ④ are the sequence of network communication.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
Example 1
As shown in fig. 1, this embodiment is a local data processing method for a power consumption information acquisition system, which is used for a local network of the power consumption information acquisition system, where the local network includes an energy router and an energy controller, the local network is a half-duplex communication network, and the local data processing method includes:
and (3) automatic data collection: realizing automatic data collection based on a channel competition mechanism with carrier sensing and collision avoidance;
and task distributed execution and optimized scheduling: local data acquisition is realized through a task generation stage and a data uploading stage;
a real-time Internet of things perception step: and establishing an internet of things perception network for data acquisition and analysis.
The following steps are described in detail:
1. automatic data collection step
The energy controller realizes automatic data collection based on a channel competition mechanism with carrier sensing and collision avoidance, the channel competition mechanism with carrier sensing and collision avoidance is a DCF mechanism based on service quality grades, each energy router is preset with a service quality grade, and if the DCF mechanism detects data collision, power utilization data uploaded by the energy router with the higher service quality grade is preferentially acquired so as to reduce system overhead caused by excessive competition windows.
2. Task distributed execution and optimized scheduling step
The task distributed execution and optimized scheduling step is divided into a task generation stage and a data uploading stage.
2.1 task Generation phase
The energy controller generates task requirements based on a management strategy of the distributed tasks, and customizes data requirements for each energy router according to the performance of each energy router.
The management strategy of the distributed tasks in this embodiment adopts a management method suitable for the distributed tasks of the power system, as disclosed in the invention with the publication number CN105139130A, to generate the distributed task requirements.
2.2 data upload phase
The method comprises the steps that a power utilization data uploading strategy based on a distributed structure is adopted for data acquisition, specifically, an energy controller issues data requirements to a Central Coordinator (CCO) in advance, the central coordinator records relevant information and issues the data requirements to a Station (STA) through broadcasting, the station acquires the power utilization data of an energy router according to clock timing and stores the power utilization data in the station, meanwhile, the station reports the stored power utilization data to the central coordinator according to a reporting period, and the energy controller reads the power utilization data in the central coordinator.
The specific process of the electricity consumption data uploading strategy based on the distributed structure comprises the following steps:
(1) after being powered on, the CCO actively acquires the clock of the energy source controller, and after being powered on, the STA actively acquires the address information (list) of the energy source router;
(2) the CCO is synchronous with all STA clocks in the network;
(3) sending a collection data item with collection density under the energy controller, recording related information by the CCO, sending the related information to the STA, and updating the collection density and the collection data item by the STA;
(4) when the STA periodically collects task time, copying and reading the data of the energy router according to the configuration of the collected data items and storing the data;
(5) when the STA reporting period is up, reporting the curve data in the reporting period to the CCO;
(6) the concentrator reads the curve data of the electric meters in the CCO, and the CCO responds to the curve data of the corresponding electric meters.
In this embodiment, the STA stores 1440 point meter curve data for 1 day, the CCO caches the meter curve data in all the energy routers 1h in the platform area, and the energy controller may read the meter curve data in the CCO and may also read the meter curve data in the STA.
The tasks are distributed on all STAs based on a power consumption data uploading strategy of a distributed structure, curve data of all energy routers are collected in the CCO, and the energy controller can obtain the electric energy data of all energy routers in the station area only by regularly reading the curve data of all electric energy meters in the CCO. And the acquisition density is configured to be 1min, so that the minute curve data acquisition of all the energy routers can be realized, and the energy controller acquires the data of all the energy routers in the platform area according to the minute density, so that the minute line loss management can be realized.
Because the length of the data packet is an important factor influencing whether the system adopts a basic mode or an RTS/CTS mode, the energy router divides the electricity utilization data into data blocks, the length of the data blocks is smaller than a preset data packet length value, and the preset data packet length value can be set according to specific requirements.
And the energy router compresses the electricity utilization data divided into data blocks and then uploads the electricity utilization data so as to reduce the occupied space of a transmission channel.
As shown in fig. 2 and 3, as the energy router of the new-generation smart electric meter, the energy router realizes comprehensive information sensing and real-time transmission, coordinates and controls the source network charge storage, improves the capability of the client side to deeply participate in the power grid regulation, effectively promotes the development of energy services such as ordered charging, distributed energy storage and clean energy consumption, and meets the diversified power consumption requirements of the people. Therefore, the present embodiment is provided with an edge computing node and an intermediate node on the client side, so as to divide the nodes in the local network into three types:
(1) the energy router is used for sending data and requests to the edge computing node besides the basic functions of network communication;
(2) the edge computing node has the basic functions of network communication, processes data and requests sent by the energy router, has the functions of data processing and data storage, and returns the processed data and responses to the requests to the energy router or sends the processed data and responses to the requests to the energy controller after the processing is finished;
(3) the intermediate node is a node which is neither an energy router nor edge computing capability, and only has the basic function of network communication to be used as a relay of a local communication network.
After the edge computing node is determined, once the data and the request are generated by the energy router, the processing steps are as follows:
s1: the energy router sends the data and the requested flow information to the controller;
s2: the energy controller calculates to obtain which edge computing nodes the flows are to be forwarded to and through which paths the flows are to be forwarded according to the current network and the use conditions of various resources, issues the segmented routing forwarding rule to the energy router, and informs the relevant edge computing nodes of reserving resources; if the processed data and the response to the request need to be sent to the energy router, the energy controller also calculates which paths to forward through according to the current network and the use condition of various resources, and sends the segment routing forwarding rule to the edge computing node;
s3: after receiving the response of the energy controller, the energy router sends the flow according to the rule issued by the energy controller;
s4: and the edge computing node receives the flow and then processes the flow, after receiving the response of the energy controller, the edge computing node sends the flow according to the rule issued by the energy controller, and finally the energy router receives the processed data sent by the edge computing node and the response to the request.
The number of edge computing nodes, the load balancing degree of computing resources and network resources may affect the average end-to-end delay of traffic; the average end-to-end delay can be effectively reduced by selecting a small number of proper nodes as edge computing nodes and then balancing and allocating the loads of computing resources and network resources to proper degrees through a power consumption data uploading strategy of a distributed structure.
3. Real-time Internet of things sensing step
The real-time Internet of things perception step specifically comprises the following steps:
and (3) establishing an internet of things perception substep: constructing a power Internet of things sensing layer equipment communication network based on an RFID technology;
and (3) an Internet of things data acquisition and analysis substep: in a pre-established Internet of things sensing and information processing platform, acquiring data transmitted by various electric Internet of things sensing layer equipment through protocol self-adaptation, and identifying equipment state information from the data transmitted by the Internet of things sensing layer equipment communication network through a neural network;
a device information acquisition substep: and acquiring equipment information corresponding to the data based on the characteristic information of the data transmitted by different sensing equipment.
The following detailed description is provided for each sub-step:
3.1 substep of establishing Internet of things perception
And an RFID label is arranged on each piece of electric power Internet of things sensing layer equipment, and the reader is communicated with the RFID labels on the electric power Internet of things sensing layer equipment to form an electric power Internet of things sensing layer equipment communication network.
The method comprises the steps that communication is carried out between the RFID tags on the sensing layer equipment of the power internet of things through a reader, specifically, when the RFID tags are within the effective identification range of the reader, the RFID tags receive radio frequency signals sent by the reader, and the RFID tags send information stored in the RFID tags to the reader by means of induced current formed by the radio frequency signals in the RFID tags; or the RFID label actively sends a signal with a certain frequency, and the interpreter receives the signal, decodes the signal and uploads the decoded signal.
And the signal sent by the RFID tag contains a power grid asset physical ID number of the power Internet of things sensing layer equipment.
3.2 substep of data acquisition and analysis of Internet of things
In the pre-established Internet of things sensing and information processing platform, various communication protocols are automatically adapted through protocol self-adaptation, data transmitted by various electric power Internet of things sensing layer devices are acquired, and unified access to Internet of things device acquisition data of various manufacturers is achieved.
A neural network is established in the Internet of things perception and information processing platform, and the neural network is pre-trained to recognize equipment state information from data transmitted by the electric power Internet of things perception layer equipment, so that artificial intelligence analysis such as station room foreign matter intrusion early warning is realized, unified Internet of things analysis service is provided for the outside, and advanced application of the Internet of things such as electric power intelligence Internet of things visualization and fault intelligence perception is assisted.
3.3 device information acquisition substep
Aiming at the investment and application of a large number of sensor devices on a large number of user sides and power supply sides, because the structures of different types of sensor devices are different, a device information obtaining sub-step is added in the real-time Internet of things sensing step, and each type of device is distinguished.
Based on the characteristic information of data transmitted by different sensing layer devices, the pre-established DBSCAN clustering algorithm is adopted to cluster the data transmitted by the different sensing layer devices, so that the purpose of automatically describing the devices is achieved, the management of a large number of sensing devices is realized, the labor cost is greatly reduced, and the efficiency is high. The method can realize that the equipment types of the equipment of the sensing layer are not required to be manually marked one by one, and the equipment types of the equipment can be automatically described by accessing the sensing layer equipment into the local network.
The working state of the field equipment can be monitored in real time through the real-time internet of things sensing step, an information monitoring means is provided for the service flows of field equipment installation, removal, replacement and the like, and operation and maintenance personnel can be assisted to remotely judge the fault type, so that effective defect elimination is carried out, the loss of national assets is reduced, and the enterprise cost is saved; the method can also automatically realize the corresponding relation change of the module and the equipment, reduce the matching relation error caused by human factors, and meanwhile, the method can also be used as a test means of the field working quality, can be popularized and applied in the whole market range, and improves the efficiency of asset management.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (10)
1. A local data processing method of a power consumption information acquisition system is used for a local network of the power consumption information acquisition system, the local network comprises an energy router and an energy controller, the local network is a half-duplex communication network, and the local data processing method comprises the following steps:
and (3) automatic data collection: realizing automatic data collection based on a channel competition mechanism with carrier sensing and collision avoidance;
and task distributed execution and optimized scheduling: local data acquisition is realized through a task generation stage and a data uploading stage;
a real-time Internet of things perception step: and establishing an internet of things perception network for data acquisition and analysis.
2. The local data processing method of the power consumption information acquisition system according to claim 1, wherein the channel contention mechanism with carrier sensing and collision avoidance is a DCF mechanism based on a quality of service class, and each of the energy routers has a quality of service class preset thereon.
3. The local data processing method of the power consumption information acquisition system according to claim 1, wherein the task generation stage specifically includes the step of generating task requirements by the energy controller based on a distributed task management policy, and customizing data requirements for each energy router according to the performance of each energy router.
4. The local data processing method of the electricity consumption information acquisition system according to claim 1, wherein the data uploading stage is specifically to perform data acquisition by using an electricity consumption data uploading strategy based on a distributed structure.
5. The local data processing method of the power consumption information acquisition system according to claim 4, wherein the power consumption data uploading policy based on the distributed structure is specifically that the energy controller issues a data requirement to the central coordinator in advance, the central coordinator records related information and issues the data requirement to the site through broadcasting, the site acquires and stores the power consumption data to the energy router according to the clock timing, the site reports the stored power consumption data to the central coordinator according to the reporting period timing, and the energy controller reads the power consumption data in the central coordinator.
6. The local data processing method of the electricity consumption information collection system according to claim 1, wherein in the data uploading stage, each energy router actively reports data according to the generated task.
7. The local data processing method of the electricity consumption information acquisition system according to claim 1, wherein the real-time internet of things sensing step specifically comprises:
and (3) establishing an internet of things perception substep: constructing a power Internet of things sensing layer equipment communication network based on an RFID technology;
and (3) an Internet of things data acquisition and analysis substep: in a pre-established Internet of things sensing and information processing platform, acquiring data transmitted by various electric Internet of things sensing layer equipment through protocol self-adaptation, and identifying equipment state information from the data transmitted by the Internet of things sensing layer equipment communication network through a neural network;
a device information acquisition substep: and acquiring equipment information corresponding to the data based on the characteristic information of the data transmitted by different sensing equipment.
8. The local data processing method of the electricity consumption information acquisition system according to claim 7, wherein the equipment information is obtained by clustering data transmitted by different sensing devices by using a pre-established clustering algorithm based on characteristic information of data transmitted by different sensing devices.
9. The real-time internet of things perception method for the power internet of things perception layer device according to claim 8, wherein the clustering algorithm is a DBSCAN clustering algorithm.
10. The local data processing method of the electricity consumption information collection system according to claim 1, wherein the local network further comprises an edge computing node and an intermediate node, the edge computing node is connected to the energy router and has functions of network communication, data processing and data storage, and the intermediate node is used as a relay of the local communication network and has a function of network communication.
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