Distributed power distribution network data acquisition platform and method, electronic equipment and storage medium

Abstract

The invention discloses a distributed power distribution network data acquisition platform and method, electronic equipment and a storage medium, the platform comprises a near network end, a transfer end and a background management end which are in communication connection in sequence, and monitoring point positions are distributed on a distributed power distribution network data acquisition power distribution network; the near network end is used for acquiring monitoring point position information of the power distribution network and performing data monitoring on monitoring point positions according to the monitoring point position information to obtain monitoring data; the transfer end is used for setting distributed nodes according to the monitoring point position information, and performing recording and integrity detection on the monitoring data at the distributed nodes to generate processing data; and the background management end is used for storing and feeding back the processing data in a preset period. Through the arrangement of the distributed nodes, while the nearby processing of the monitoring data is realized and the data processing amount is reduced, the efficient detection of the monitoring data is realized and the storage cost of the background management end is effectively reduced under the cooperation of the integrity monitoring of the monitoring data by the distributed nodes, so that the system has the advantages of low cost and expandability.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network data acquisition, and in particular to a distributed distribution network data acquisition platform, method, electronic equipment and storage medium. Background Art

[0002] In order to ensure the normal operation of the distribution network, after data monitoring is carried out during the operation of the distribution network, the operating status of the distribution network can be timely and effectively understood through analysis of the monitoring data. The data monitoring includes but is not limited to voltage, current, resistance and other data. With the development of science and technology, these data are often directly transmitted through remote communication. Remote communication can use wired or wireless methods for data transmission. Wireless methods such as 4G and 5G modules are flexible and convenient; wired methods are more stable and reliable, but may be subject to wiring restrictions.

[0003] Since data monitoring devices are prone to failure during actual operation, when the data monitoring devices send monitoring data directly to the distribution network information management background, it is impossible to monitor the fault information in a timely and effective manner. In addition, the distribution network lines are long. As the number of data monitoring devices deployed increases, the processing performance requirements of the distribution network information management background are higher. This not only increases the cost of data collection, but also fails to achieve fast and effective fault information troubleshooting, which is inconvenient in actual use. Summary of the invention

[0004] The present invention provides a distributed power distribution network data collection method to solve the problem of distributed power distribution network data collection.

[0005] In a first aspect, the present invention provides a distributed distribution network data acquisition platform, comprising a near-network terminal, a transfer terminal and a background management terminal which are sequentially communicatively connected, wherein monitoring points are arranged on the distribution network;

[0006] The near-network terminal is used to obtain monitoring point information of the distribution network, and perform data monitoring on the monitoring points according to the monitoring point information to obtain monitoring data;

[0007] The transfer end is used to set distributed nodes according to the monitoring point information, and record and perform integrity detection on the monitoring data at the distributed nodes to generate processing data;

[0008] The background management end is used to store and feed back the processed data in a preset period.

[0009] In a second aspect, the present invention provides a distributed distribution network data collection method, which is applied to the distributed distribution network data collection platform as described in the first aspect, wherein the distributed distribution network data collection platform includes a near-network end, a transfer end, and a background management end that are sequentially connected in communication, and monitoring points are arranged on the distribution network; the distributed distribution network data collection method includes:

[0010] The near-network end obtains monitoring point information of the distribution network, and performs data monitoring on the monitoring points according to the monitoring point information to obtain monitoring data;

[0011] The transfer end sets distributed nodes according to the monitoring point information, and records and performs integrity detection on the monitoring data at the distributed nodes to generate processed data;

[0012] The background management terminal stores and feeds back the processed data at a preset period.

[0013] In a third aspect, the present invention provides an electronic device, the electronic device comprising:

[0014] at least one processor; and

[0015] a memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the distributed distribution network data collection method described in the second aspect of the present invention.

[0017] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the distributed distribution network data collection method described in the second aspect of the present invention when executed.

[0018] A distributed distribution network data acquisition platform provided by an embodiment of the present invention includes a near-network end, a transfer end, and a background management end that are sequentially connected in communication. The distributed distribution network data acquisition distribution network is provided with monitoring points; the near-network end is used to obtain the monitoring point information of the distribution network, and perform data monitoring on the monitoring points according to the monitoring point information to obtain monitoring data; the transfer end is used to set up distributed nodes according to the monitoring point information, and record and perform integrity detection on the monitoring data at the distributed nodes to generate processing data; the background management end is used to store and feed back the processing data in a preset cycle. Through the setting of distributed nodes, the monitoring data can be processed nearby, and the data processing volume can be reduced. At the same time, with the cooperation of the distributed nodes in monitoring the integrity of the monitoring data, the monitoring data can be efficiently and quickly detected, and the monitoring data is stored in the distributed nodes, which effectively reduces the storage cost of the background management end, and has the advantages of low cost and scalability.

[0019] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 It is a structural schematic diagram of a distributed distribution network data acquisition platform provided in Embodiment 1 of the present invention;

[0022] Figure 2 is a flow chart of a distributed distribution network data collection method provided by Embodiment 2 of the present invention;

[0023] Figure 3 It is a schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0025] Embodiment 1

[0026] Figure 1 This is a schematic diagram of the structure of a distributed distribution network data acquisition platform provided in the first embodiment of the present invention. Figure 1 As shown, the distributed distribution network data acquisition platform includes a near-network terminal 1, a transfer terminal 2 and a background management terminal 3 which are sequentially connected in communication. Monitoring points are arranged on the distribution network;

[0027] The near-network end is used to obtain the monitoring point information of the distribution network, and perform data monitoring on the monitoring points according to the monitoring point information to obtain monitoring data.

[0028] The near-network end may be a sensor, such as a voltage sensor, a current sensor, a humidity sensor, a temperature sensor, and the like.

[0029] Monitoring data refers to the data collected by the near-network end. The specific data type is the data collected by the sensor, and it can also be the network communication status of the monitoring point, etc.

[0030] Specifically, the near-network end is composed of several data acquisition modules, which are composed of monitoring points within a set range in the distribution network. They are used to obtain monitoring data on the operation of the distribution network at the monitoring points and send the monitoring data to the corresponding distributed nodes in the transfer end described below.

[0031] The preset period can be set according to the amount of processed data. For example, when the amount of data is large, a shorter period can be set to avoid data accumulation and a heavier burden on the data receiving end when the processed data is fed back in the later stage. It can also be set according to the type of processed data. For example, when certain data are key monitoring objects, a shorter period can be set to feedback the data in time. It can also be set according to actual needs, and this embodiment does not limit this.

[0032] Distributed nodes are set in the transfer terminal. Specifically, distributed nodes can be set according to the number or type of monitoring point information. For example, when the number of monitoring point information is large, multiple distributed nodes are set to disperse the pressure of each distributed node to process data and improve data processing efficiency; when there are many types of monitoring point information, multiple distributed nodes are set, and each distributed node corresponds to different types of monitoring point information, that is, a special distributed node is used to process special information. Each distributed node corresponds to the monitoring point information, and each distributed node can process the same or different types of monitoring point information.

[0033] The number and type of distributed nodes can be set according to the monitoring point information. By setting up distributed nodes at the transfer end, when a data acquisition module fails, the monitoring data can be recorded and integrity tested through the distributed nodes connected to it, so that the specific data acquisition module and the specific fault type can be timely and effectively identified to ensure the integrity and correctness of the distribution network data; even if there are many data acquisition modules deployed in the distribution network, the processing efficiency and quality of the distributed nodes can be guaranteed. Compared with the existing technology, this solution has lower processing performance requirements for the distribution network information management background. In addition, by setting up distributed nodes, distributed settings can be made near the monitoring points, shortening the line distance between the data acquisition module and the distributed nodes, making it easier to implement.

[0034] The transfer end is used to set up distributed nodes according to the monitoring point information, and record and check the integrity of the monitoring data at the distributed nodes to generate processing data. This solution can achieve local management of monitoring data, ensure data processing efficiency, and relieve the data processing pressure of the background management end in a distributed data processing manner, which has the advantages of reducing costs and increasing efficiency.

[0035] The backend management terminal is used to store and feed back processing data at a preset period. The backend management terminal is the management platform of the distribution network.

[0036] A distributed distribution network data acquisition platform provided by an embodiment of the present invention includes a near-network end, a transfer end, and a background management end that are sequentially connected in communication. The distributed distribution network data acquisition distribution network is provided with monitoring points; the near-network end is used to obtain the monitoring point information of the distribution network, and perform data monitoring on the monitoring points according to the monitoring point information to obtain monitoring data; the transfer end is used to set up distributed nodes according to the monitoring point information, and record and perform integrity detection on the monitoring data at the distributed nodes to generate processing data; the background management end is used to store and feed back the processing data in a preset cycle. Through the setting of distributed nodes, the monitoring data can be processed nearby, and the data processing volume can be reduced. At the same time, with the cooperation of the distributed nodes in monitoring the integrity of the monitoring data, the monitoring data can be efficiently and quickly detected, and the monitoring data is stored in the distributed nodes, which effectively reduces the storage cost of the background management end, and has the advantages of low cost and scalability.

[0037] In an optional embodiment, if Figure 1 As shown, the near-network end includes multiple data acquisition modules, which are arranged at monitoring points within a set range in the distribution network. The data acquisition modules are connected to distributed nodes to obtain monitoring data of the distribution network operation at the monitoring points and send the monitoring data to the corresponding distributed nodes. By integrating the monitoring points within a set range on the distribution network into one data acquisition module, the number of subordinate data acquisition modules connected to the distributed nodes can be reduced.

[0038] In an optional embodiment, if Figure 1 As shown, the transfer end includes a communication module, a dislocation management module and a log analysis module that are connected in sequence, and the communication module serves as a communication section of the distributed node;

[0039] The communication module is used to receive the monitoring data of the corresponding data acquisition module, and establish a communication connection channel with the background management end, and establish a communication connection channel with adjacent distributed nodes;

[0040] The dislocation management module is used to establish a table to be filled corresponding to multiple monitoring points under the current distributed node and adjacent distributed nodes. After obtaining the monitoring data at the set time, the monitoring data is filled into the corresponding table to be filled according to the monitoring points corresponding to the monitoring data, and the data collection log corresponding to the set time is obtained; the monitoring data is encrypted and stored in the current distributed node and the adjacent distributed nodes. Storing data in a dislocation storage manner can ensure that the data is stored safely and effectively in the distributed nodes. That is, when the data of a distributed node is lost, the lost data can be obtained from the adjacent distributed nodes.

[0041] The log analysis module is used to store data collection logs and perform integrity checks on data collection logs.

[0042] Specifically, the formula for integrity testing of data collection logs is as follows:

[0043]

[0044] In the formula, R is the number of completed tables, E is the number of tables to be filled, wholeness is completeness, complete means complete, and imperfect means incomplete;

[0045] As a further explanation, after the adjacent dislocation management modules obtain the corresponding data collection logs of different data collection modules, when the dislocation management module is idle, that is, when the monitoring data is not filled into the corresponding table to be filled, and the data collection log processing operation corresponding to the set time is obtained, at least two dislocation management modules will be used to compare the data collection logs generated by the same data collection module. If the overlap is consistent, it means that the data collection log is generated correctly. Otherwise, it means that there are defects in the data collection log generation. At this time, the following fault self-check is required:

[0046] After refilling the monitoring data into the corresponding table to be filled, obtain the new data collection log, and then perform the coincidence analysis to determine whether the coincidence is 100%. If it is, it is determined that a temporary abnormality occurs in the data processing and the abnormality is ignored;

[0047] No, it is determined that at least one dislocation management module is faulty, and another dislocation management module adjacent to one of the current two dislocation management modules is selected as a new reference, and the new reference is compared with one of the current two dislocation management modules for the overlap of the data acquisition logs generated by the same data acquisition module. When the overlap is 100%, it is determined that the other dislocation management module of the current two dislocation management modules is faulty;

[0048] When the overlap is not 100%, it is determined that one of the two current misalignment management modules is faulty. When the faulty misalignment management module has an adjacent misalignment management module, the overlap comparison of the data acquisition logs generated by the same data acquisition module is performed. When the overlap is 100%, it is determined that the new reference may be faulty, and the four current misalignment management modules are marked as suspicious and fed back to the background management end for manual fault analysis.

[0049] When the overlap degree is not 100%, it is determined that one of the two current misalignment management modules fails.

[0050] In an optional embodiment, the log analysis module is also used to generate completion log collection information and send it to the background management end through the communication module when the data collection log passes the integrity check; when the data collection log fails the integrity check, generate a data collection log with missing information and send it to the background management end through the communication module.

[0051] In an optional embodiment, the background management end is also used to normally mark the corresponding distributed node corresponding to the completed log collection information when the completed log collection information is received; when a data collection log with missing information is received, the missing information is interpolated and filled when the line to which the distributed node corresponding to the data collection log belongs is in normal operating state; after highlighting the filled information, the repaired data collection log is fed back to the corresponding distributed node for storage.

[0052] When the data collection log fails the integrity check, the communication module sends the data collection log with missing information as processed data to the background management end. When the background management end receives the data collection log with missing information, it interpolates and fills the missing part when the line to which the corresponding distributed node belongs is in normal operation, and after interpolation highlighting, it feeds back the repaired data collection log to the corresponding distributed node for storage. The interpolation filling methods include but are not limited to linear interpolation, polynomial interpolation and Lagrange interpolation.

[0053] In an optional embodiment, the background management end is also used to retrieve the data collection logs stored in all distributed nodes when performing an inventory of distribution network monitoring data, and obtain the monitoring data of all monitoring points in the distribution network after data comparison and verification.

[0054] Specifically, the specific methods of data comparison and verification processing include:

[0055] After receiving the data collection log stored in the distributed node, the encrypted part of the data is decrypted, and the decrypted data collection log is compared with the data collection log stored in the corresponding distributed node for overlap. When there is an overlap deviation, the decrypted data collection log is used as the data collection log of the corresponding distributed node, and the distributed node is marked for management.

[0056] In an optional embodiment, the distributed node stores monitoring data collected by a data collection module corresponding to at least one adjacent distributed node; and the distributed node encrypts the data when storing the data collected by the data collection module corresponding to the adjacent distributed node.

[0057] In an optional embodiment, the monitoring data collected by the data acquisition module corresponding to at least one adjacent distributed node can also be stored in the distributed node, and the data encryption is performed when the data collected by the data acquisition module corresponding to the adjacent distributed node is stored in the distributed node. In this way, the data encryption backup method can effectively prevent the data from being tampered with, and provide a correction reference for the subsequent integrated inventory of monitoring data. The background management end is also used to retrieve the data acquisition logs stored in all distributed nodes when performing an inventory of distribution network monitoring data. After the background management end receives the data acquisition logs stored in the distributed nodes, it decrypts the encrypted part of the data and compares the decrypted data acquisition log with the data acquisition log stored in the corresponding distributed node for overlap. When an overlap deviation occurs, the decrypted data acquisition log is used as the data acquisition log of the corresponding distributed node, and the distributed node is marked for management to obtain the monitoring data of all monitoring points in the distribution network.

[0058] Embodiment 2

[0059] Figure 2 A flow chart of a distributed distribution network data collection method provided in the second embodiment of the present invention. This embodiment can be applied to the case of collecting data from monitoring points in the distribution network. The method can be executed by a distributed distribution network data collection platform. The distributed distribution network data collection platform can be implemented in the form of hardware and / or software. The distributed distribution network data collection platform can be configured in an electronic device. The distributed distribution network data collection platform includes a near-network terminal, a transfer terminal, and a background management terminal that are sequentially connected in communication. Monitoring points are arranged on the distribution network;

[0060] like Figure 2 As shown, the distributed distribution network data collection method includes:

[0061] S10, the near-network terminal obtains monitoring point information of the distribution network, and performs data monitoring on the monitoring points according to the monitoring point information to obtain monitoring data;

[0062] S10, the transfer end sets distributed nodes according to the monitoring point information, and records and performs integrity detection on the monitoring data at the distributed nodes to generate processed data;

[0063] S30. The background management terminal stores and feeds back the processed data at a preset period.

[0064] Optionally, the near-network end includes multiple data acquisition modules, which are arranged at monitoring points within a set range in the distribution network. The data acquisition modules are connected to distributed nodes to obtain monitoring data on the operation of the distribution network at the monitoring points and send the monitoring data to corresponding distributed nodes.

[0065] Optionally, the transfer end includes a communication module, a dislocation management module and a log analysis module which are sequentially connected in communication, and the communication module serves as a communication module of the distributed node;

[0066] The communication module receives the monitoring data of the corresponding data acquisition module, and establishes a communication connection channel with the background management end, and establishes a communication connection channel with adjacent distributed nodes;

[0067] The dislocation management module establishes a table to be filled corresponding to multiple monitoring points under the current distributed node and adjacent distributed nodes, and after acquiring monitoring data at a set time, fills the monitoring data into the corresponding table to be filled according to the monitoring points corresponding to the monitoring data, and acquires the data collection log corresponding to the set time;

[0068] The log analysis module stores the data collection log and performs integrity detection on the data collection log.

[0069] Optionally, when the data collection log passes the integrity check, the log analysis module generates completion log collection information and sends it to the background management end through the communication module; when the data collection log fails to pass the integrity check, it generates a data collection log with missing information and sends it to the background management end through the communication module.

[0070] Optionally, when the background management end receives the completion log collection information, it normally marks the corresponding distributed node corresponding to the completion log collection information; when receiving the data collection log with missing information, when the line to which the distributed node corresponding to the data collection log belongs is in normal operating state, the missing information is interpolated and filled; after highlighting the filled information, the repaired data collection log is fed back to the corresponding distributed node for storage.

[0071] Optionally, the background management end is also used to retrieve the data collection logs stored in all distributed nodes when performing an inventory of distribution network monitoring data, and obtain the monitoring data of all monitoring points in the distribution network after data comparison and verification.

[0072] Optionally, the distributed node stores monitoring data collected by a data collection module corresponding to at least one adjacent distributed node; and the distributed node encrypts the data when storing the data collected by the data collection module corresponding to the adjacent distributed node.

[0073] In order to clearly illustrate the distributed distribution network data collection method in this solution, the following example is used to illustrate that the data collection method of the above data collection platform specifically includes the following steps:

[0074] S1. Acquire the monitoring point information arranged on the distribution network, define several monitoring points within a set range as a data acquisition module, arrange distributed nodes at the center of several monitoring points, wherein the monitoring data of the distribution network during operation monitored and acquired by the data acquisition module are all sent to the distributed nodes;

[0075] S2. After the preparation of several distributed nodes is completed, after the distributed node receives the monitoring data collected by the corresponding data collection module, the distributed node synchronously sends the monitoring data to at least one adjacent distributed node;

[0076] S3, establish a table to be filled for several detection points under the current distributed node and adjacent distributed nodes, store them in the dislocation management module, and after obtaining the monitoring data at the set time, fill the monitoring data into the corresponding table to be filled according to the monitoring points of the monitoring data, and obtain the data collection log corresponding to the set time, wherein the monitoring data corresponding to the adjacent distributed nodes are encrypted;

[0077] S4, the log analysis module stores the data collection log and performs integrity check on the data collection log;

[0078] After passing the integrity test, the communication module sends the completed log collection as processing data to the background management end, and then goes to S5. On the contrary, when the data collection log fails to pass the integrity test, the communication module sends the data collection log with missing information, i.e., the monitoring point information corresponding to the unfilled table, as processing data to the background management end, and then goes to S5.

[0079] S5. When receiving the log collection completion information, the backend management terminal normally marks the distributed nodes corresponding to the log collection completion information;

[0080] S6. When the backend management terminal receives a data collection log with missing information, it interpolates and fills the missing part under the normal operation of the line to which the corresponding distributed node belongs, and after interpolation and highlighting, it feeds back the repaired data collection log to the corresponding distributed node for storage, and synchronously updates the encrypted storage part of the data collection log in the adjacent distributed node;

[0081] S7. When taking inventory of distribution network monitoring data, retrieve the data collection logs stored in all distributed nodes. After receiving the data collection logs stored in the distributed nodes, decrypt the encrypted part of the data and compare the decrypted data collection logs with the data collection logs stored in the corresponding distributed nodes for coincidence. When there is a coincidence deviation, use the decrypted data collection log as the data collection log of the corresponding distributed node, mark the distributed node for management, and then obtain the monitoring data of all monitoring points in the distribution network.

[0082] The distributed distribution network data collection method provided in the embodiment of the present invention can be executed by the distributed distribution network data collection platform provided in any embodiment of the present invention, and the distributed distribution network data collection method has the corresponding beneficial effects of the distributed distribution network data collection platform.

[0083] Embodiment 3

[0084] Figure 3 A schematic diagram of the structure of an electronic device 40 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0085] like Figure 3As shown, the electronic device 40 includes at least one processor 41, and a memory connected to the at least one processor 41, such as a read-only memory (ROM) 42, a random access memory (RAM) 43, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 41 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 42 or the computer program loaded from the storage unit 48 to the random access memory (RAM) 43. In the RAM 43, various programs and data required for the operation of the electronic device 40 can also be stored. The processor 41, the ROM 42, and the RAM 43 are connected to each other through a bus 44. An input / output (I / O) interface 45 is also connected to the bus 44.

[0086] A number of components in the electronic device 40 are connected to the I / O interface 45, including: an input unit 46, such as a keyboard, a mouse, etc.; an output unit 47, such as various types of displays, speakers, etc.; a storage unit 48, such as a disk, an optical disk, etc.; and a communication unit 49, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0087] The processor 41 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 41 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 41 executes the various methods and processes described above, such as a distributed distribution network data acquisition method.

[0088] In some embodiments, the distributed distribution network data collection method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 48. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 40 via the ROM 42 and / or the communication unit 49. When the computer program is loaded into the RAM 43 and executed by the processor 41, one or more steps of the distributed distribution network data collection method described above may be performed. Alternatively, in other embodiments, the processor 41 may be configured to execute the distributed distribution network data collection method in any other appropriate manner (e.g., by means of firmware).

[0089] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0090] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0091] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0092] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0093] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0094] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0095] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0096] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A distributed distribution network data acquisition platform, characterized in that: It includes a near-network terminal, a transfer terminal and a background management terminal which are sequentially connected in communication, and monitoring points are arranged on the distribution network; The near-network terminal is used to obtain monitoring point information of the distribution network, and perform data monitoring on the monitoring points according to the monitoring point information to obtain monitoring data; The transfer end is used to set distributed nodes according to the monitoring point information, and record and perform integrity detection on the monitoring data at the distributed nodes to generate processing data; The background management end is used to store and feed back the processed data in a preset period.

2. The distributed distribution network data acquisition platform according to claim 1, characterized in that: The near-network end includes multiple data acquisition modules, which are arranged at monitoring points within a set range in the distribution network. The data acquisition modules are connected to distributed nodes to obtain monitoring data on the operation of the distribution network at the monitoring points and send the monitoring data to the corresponding distributed nodes.

3. The distributed distribution network data acquisition platform according to claim 1, characterized in that: The transfer end includes a communication module, a dislocation management module and a log analysis module which are sequentially connected in communication, and the communication module serves as a communication module of the distributed node; The communication module is used to receive the monitoring data of the corresponding data acquisition module, and establish a communication connection channel with the background management end, and establish a communication connection channel with adjacent distributed nodes; The dislocation management module is used to establish a table to be filled corresponding to multiple monitoring points under the current distributed node and adjacent distributed nodes, and after obtaining monitoring data at a set time, fill the monitoring data into the corresponding table to be filled according to the monitoring points corresponding to the monitoring data, and obtain the data collection log corresponding to the set time; The log analysis module is used to store the data collection log and perform integrity detection on the data collection log.

4. The distributed distribution network data acquisition platform according to claim 3, characterized in that: The log analysis module is also used for: When the data collection log passes the integrity check, the log collection completion information is generated and sent to the background management end through the communication module; when the data collection log fails to pass the integrity check, the data collection log with missing information is generated and sent to the background management end through the communication module.

5. The distributed power distribution network data acquisition platform according to claim 4, characterized in that: The background management end is further used to mark the corresponding distributed node corresponding to the completed log collection information normally when receiving the completed log collection information; when receiving the data collection log with missing information, interpolate and fill the missing information when the line to which the distributed node corresponding to the data collection log belongs is in normal operation; After highlighting the filled information, the repaired and complete data collection log is fed back to the corresponding distributed node for storage.

6. The distributed power distribution network data acquisition platform according to claim 5, characterized in that: The background management end is also used to retrieve the data collection logs stored in all distributed nodes when performing distribution network monitoring data inventory, and obtain the monitoring data of all monitoring points in the distribution network after data comparison and verification processing.

7. The distributed power distribution network data acquisition platform according to claim 5, characterized in that: The distributed node stores monitoring data collected by a data collection module corresponding to at least one adjacent distributed node; the distributed node encrypts the data when storing the data collected by the data collection module corresponding to the adjacent distributed node.

8. A distributed distribution network data collection method, characterized in that: Applied to the distributed distribution network data acquisition platform according to any one of claims 1 to 7, the distributed distribution network data acquisition platform comprises a near-network terminal, a transfer terminal and a background management terminal which are sequentially connected in communication, and monitoring points are arranged on the distribution network; The distributed power distribution network data collection method comprises: The near-network end obtains monitoring point information of the distribution network, and performs data monitoring on the monitoring points according to the monitoring point information to obtain monitoring data; The transfer end sets distributed nodes according to the monitoring point information, and records and performs integrity detection on the monitoring data at the distributed nodes to generate processed data; The background management terminal stores and feeds back the processed data at a preset period.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the distributed distribution network data collection method described in claim 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the distributed distribution network data collection method according to claim 8 when executed.

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