A fault research and judgment method based on a low-voltage transformer area and an internet-of-things edge processing unit

Abstract

The application discloses a kind of based on low-voltage area's fault research and judges method and internet of things edge processing unit, it is applied to power grid acquisition terminal, specifically includes the following steps: S1, obtains the terminal data generated in the running process of the area equipment, the terminal data includes the power-off information of full-area terminal, area topology information;S2, according to fault research and judge rule, the terminal data is analyzed, and analysis data is obtained, the analysis data includes current power-off information and power-off location information;S3, the analysis data is sent to main station, to make the main station according to the analysis data generates security protection strategy.Internet of things edge processing unit and acquisition terminal are combined, on the basis of original function of acquisition terminal, increase fault research and judge, intelligent device sensing access and other more intelligent service applications.Acquisition terminal and internet of things edge processing unit complement each other, work cooperatively, realize area equipment sensing access and edge intelligent processing.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of power grid operation, in particular to a fault judgment method based on a low-voltage transformer area and an Internet-of-Things edge processing unit. BACKGROUND

[0002] The State Grid Corporation proposes a development plan for promoting the construction of a strong smart grid in stages, sets the goal of building a modern power grid that is strong and reliable, economical and efficient, clean and environmentally friendly, transparent and open, and friendly and interactive, and realizes significant improvement in power grid resource allocation, safety and stability level, and interaction between the power grid and users. At present, the construction of the power grid resource business platform is being vigorously promoted, and the overall level of the integration of operation, distribution and dispatch has reached a new level. However, with the sharp increase in summer and winter electricity consumption, the number of 95598 call center work orders increases during the electricity consumption peak period, especially the number of electricity fault repair orders increases with the increase in electricity consumption, and the workload of external line maintenance personnel increases sharply. Combined with weather factors, line aging and other factors, there are many factors affecting fault judgment, and the accuracy of fault judgment is related to the time for maintenance personnel to solve the fault. If the power supply recovery time is too long, the user's satisfaction will be low, which will lead to an increase in electricity complaints and cause economic losses to electricity users. Therefore, a user fault intelligent judgment system needs to be developed to solve the existing problems. SUMMARY

[0003] The purpose of the application is to provide a fault judgment method based on a low-voltage transformer area and an Internet-of-Things edge processing unit, which can realize the access of intelligent sensing devices in the transformer area, complete transformer area fault analysis and power distribution station environment monitoring functions, and report to the master station. The purpose is to solve the problem of low user fault judgment efficiency

[0004] A fault judgment method based on a low-voltage transformer area is applied to a collection terminal and specifically includes the following steps:

[0005] S1, acquiring terminal data generated by the transformer area equipment during operation, the terminal data including stop and start power information of all transformer area terminals and transformer area topology information;

[0006] S2, analyzing the terminal data according to a fault judgment rule to obtain analysis data, the analysis data including current power failure information and power failure location information;

[0007] S3, sending the analysis data to a master station to enable the master station to generate a security protection strategy according to the analysis data.

[0008] Further, the fault judgment rule is:

[0009] SA: obtaining the current total meter information of the terminal data;

[0010] SB: judging whether the total meter is powered off;

[0011] SC: if powered off, returning the total meter power-off information to the main station;

[0012] SD: obtaining the current power-on and power-off event information of all the meters of the terminal data;

[0013] SE: comparing the current power-on and power-off event information of all the meters according to the rules, and retaining the power-on and power-off event information of all the meters that meet the rules;

[0014] SF: obtaining the terminal that is powered off according to the power-on and power-off event information of all the meters that meet the rules;

[0015] SG: obtaining the topology information of the transformer area;

[0016] SH: obtaining the location information corresponding to the terminal that is powered off by traversing the topology information of the transformer area and recording.

[0017] Further, the topology information of the transformer area includes:

[0018] Step one, setting the sending start time X of the transformer area equipment, the sending interval L, and the sending topology identification and parallel method instruction;

[0019] Step two, obtaining the number M of the transformer area equipment, and automatically setting the characteristic current sending time of all the equipment at the interval of L from the X time point, X, X+L, X+2L, …, X+(M-1)*L, wherein the X is the current time;

[0020] Step three, sending all the preset sending time to the corresponding meter and intelligent circuit breaker;

[0021] Step four, controlling all the equipment to send the characteristic current according to the preset time, and automatically triggering after reaching the set time, and sequentially switching the current;

[0022] Step five, controlling the exchange sampling of all the intelligent circuit breakers and modular terminals to be in the detection state, if the characteristic current signal is detected, saving the current size, phase and identification time in the local equipment, and for the terminal and the intelligent circuit breaker, setting the active event reporting, and reporting the detected identification result to the main station through the terminal;

[0023] Step six, when all the equipment sending is completed and the timing ends, receiving the time tag result recorded by all the terminals and intelligent circuit breakers;

[0024] Step seven, the master station sorts and analyzes according to the time mark, calculates the topological relationship at this time, and identifies the number N of failed devices and the address.

[0025] Further, the step SG further comprises:

[0026] According to the transformer area topology information, it is judged whether it is phase power failure or branch power failure.

[0027] If there is phase power failure or branch power failure, the information of the phase and the branch is recorded.

[0028] Further, the terminal data further comprises power outage state and user power failure feedback, and the fault analysis rule specifically comprises:

[0029] The power outage state or the user power failure feedback is monitored, and a request for confirming whether the user is a user who has not paid the electricity fee is sent to the marketing system.

[0030] If the information of "yes" is received, the information of the user paying the electricity fee is fed back to the master station.

[0031] If the information of "no" is received, it is confirmed that the user has no non-payment behavior.

[0032] Further, the terminal data further comprises other electric energy meter monitoring information, and the fault analysis rule further comprises:

[0033] Whether the power is in an outage state is confirmed by acquiring other electric energy meter monitoring information.

[0034] If no, it is determined that it is a single household fault.

[0035] If yes, it is confirmed that all other meters in the meter box are in an outage state.

[0036] Further, the terminal data further comprises branch box switch monitoring data, if all other meters in the meter box are in an outage state, the branch box switch monitoring data is acquired, it is judged whether the branch box switch is in an outage state and has a high temperature, if yes, it is determined that the branch box is faulty.

[0037] Further, the terminal data further comprises transformer area switch monitoring data, if the branch box switch is normal, the transformer area switch monitoring data is acquired, it is judged whether the transformer area switch is in an outage state and has a high temperature, if yes, it is determined that the transformer area is faulty.

[0038] Further, if the transformer area switch is normal, it can be determined that it is a line fault.

[0039] Further, the safety protection strategy is a maintenance work order generated according to the current power failure information and the power failure position information.

[0040] An Internet of Things edge processing unit applied to a collection terminal, comprising

[0041] a memory;

[0042] one or more processors; and

[0043] one or more modules stored in the memory and configured to be executed by the one or more processors, the one or more modules comprising:

[0044] an acquisition data module for acquiring terminal data generated by the transformer area equipment in the running process, the terminal data including power-off events of all transformer area terminals, transformer area topology;

[0045] a data analysis module for analyzing the terminal data according to fault research and judgment rules to obtain analysis data, the analysis data including current power-off information and power-off location information;

[0046] an upload data module for sending the analysis data to a master station to enable the master station to generate a security protection strategy according to the analysis data.

[0047] Further, in the power system, the transformer area refers to the power supply range or area of a transformer.

[0048] The present application has the beneficial effects:

[0049] The present application realizes low-voltage distribution network panoramic display and online monitoring of running state by real-time access to intelligent sensing terminal state perception data; realizes the real-time of fault data acquisition, provides data basis for intelligent research and judgment; at the same time, realizes the early warning of fault, shortens the maintenance time, improves the work efficiency of maintenance personnel; uses temperature sensing monitoring technology, judges whether the switch running state is normal through the temperature data uploaded by the monitoring equipment at regular intervals; for the case of too high temperature, based on the GIS map, the fault risk position is quickly located through the position information uploaded by the sensing equipment, helping the power supply company to actively find the abnormality and timely warning, reducing the loss caused by the fault; solves the existing artificial inspection method, reduces the work intensity of maintenance personnel; comprehensively integrates on-site equipment abnormality, user arrears and other data, detects the on-site power-off state of one household or adjacent households, deeply integrates low-voltage power grid topology data, geographic space data, user repair, arrears and other data, realizes accurate research and judgment of customer internal fault, realizes accurate research and judgment of customer internal fault, applies the effect of connecting power supply and distribution to practice, and at the same time, through accurate research and judgment of customer internal fault, effectively improves the processing quality of 95598 work order and repair work order. BRIEF DESCRIPTION OF DRAWINGS

[0050] Figure 1 is a schematic diagram of the fault research and judgment method based on the low-voltage transformer area of the present application;

[0051] Figure 2 Structure diagram of the Internet of Things edge processing unit of the present application;

[0052] Figure 3 Flowchart of low-voltage area fault research and judgment of the present application;

[0053] Figure 4 Flowchart of three-phase imbalance of the present application;

[0054] Figure 5 Flowchart of power supply reliability analysis of the present application;

[0055] Figure 6 Application scenario diagram of the Internet of Things edge processing unit of the present application; DETAILED DESCRIPTION

[0056] The present application will be further described below in conjunction with the embodiments and the drawings, but the embodiments of the present application are not limited thereto.

[0057] In the description of the present application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "longitudinal", "lateral", "horizontal", "inner", "outer", "front", "back", "top", "bottom", and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the product of the present application is usually placed, and are only for the convenience of describing the present application and simplifying the description, and therefore cannot be understood as indicating or implying that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application.

[0058] In the description of the present application, it should also be noted that unless otherwise explicitly specified and limited, the terms "provided", "opened", "mounted", "connected", and "connected" should be understood broadly, for example, can be fixedly connected, can be detachably connected, or integrally connected; can be mechanically connected, or electrically connected; can be directly connected, or indirectly connected through an intermediate medium; can be connected inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0059] The system network topology can be divided into three layers, which are terminal layer, edge Internet of Things agent layer and cloud platform layer. The terminal layer and the edge Internet of Things agent layer are connected through RS485 or RJ45, and the cloud platform layer and the edge Internet of Things agent layer are connected through wired or wireless (4G). The three layers are responsible for different duties. The terminal layer refers to the primary equipment for providing protection, monitoring (instrument equipment in switch cabinet, ring main unit) and various power secondary equipment for sensing layer data acquisition. The edge Internet of Things agent layer can not only aggregate the data of the terminal layer and then forward the data to the master station of the cloud platform through the MQTT protocol, but also has the functions of real-time data query, log query and historical data query of the terminal layer equipment. The master station of the cloud platform layer analyzes the data of the protocol conversion equipment through the protocol conversion equipment.

[0060] The Internet of Things edge processing unit located in the edge Internet of Things agent layer is designed in reference to the tail cover type specification of the collection terminal. The overall size is completely consistent with the tail cover of the collection terminal, and can directly replace the tail cover of the original collection terminal. The installation method is completely consistent with the tail cover of the collection terminal. The Internet of Things edge processing unit does not affect the operation of the original collection terminal during operation, and is small in size, simple in installation and construction, and does not require additional installation space. The overall appearance style is shown in the following figure

[0061] The Internet of Things edge processing unit can realize the access of intelligent sensing devices in the transformer area, complete transformer area working condition analysis and power distribution station environment monitoring functions, and realize the acquisition of various related data of concentrators and low-voltage users, and perform local edge computing functions to reduce the problems of large system operation and heavy business load.

[0062] The Internet of Things edge processing unit is in the sensing layer in the system architecture and is installed at the collection terminal. The original tail cover of the collection terminal is removed and replaced with the Internet of Things edge processing unit. The Internet of Things edge processing unit is connected with the collection terminal through Ethernet to ensure the data interaction efficiency with the collection terminal and quickly acquire relevant data in the collection terminal. At the same time, the Internet of Things edge processing unit also has multiple external interface resources, which can bear sensing business and collect intelligent devices in the transformer area. In order to ensure the normal work of the Internet of Things edge processing unit, one-way alternating single-phase electricity needs to be accessed.

[0063] The combination of the Internet of Things edge processing unit and the collection terminal increases the local edge computing and intelligent device sensing access and other more intelligent business applications on the basis of the original functions of the collection terminal. The collection terminal and the Internet of Things edge processing unit complement each other and work together to realize the sensing access of transformer area devices and edge intelligent processing.

[0064] The interface resources of the Internet of Things edge processing unit are designed as follows:

[0065] 4-way RS-485 interface, 2-way RJ-45 Ethernet port, 12V output, 2-way three-wire PT100, 1-way DC analog, built-in LORA communication, built-in Bluetooth communication, equipped with OOP ESAM chip, with satellite positioning function, with remote communication module function.

[0066] The indicator lights from left to right are: running, network, uplink, downlink, link 1, link 2.

[0067] The weak current terminal definition is shown in Table 1: (described in order from top to bottom)

[0068] Table 1 Weak current terminal

[0069]

[0070] I. Data acquisition

[0071] 1. Acquisition terminal data acquisition

[0072] The Internet of Things edge processing unit can communicate with the acquisition terminal to collect AC sampling related data, measurement point related data, and event record data, etc. in the acquisition terminal.

[0073] 2. DC analog acquisition

[0074] The Internet of Things edge processing unit has DC analog acquisition function, the current range is 4-20mA, the error is not more than 1%.

[0075] II. Data processing

[0076] The Internet of Things edge processing unit supports real-time data, second freezing, minute freezing, hour freezing, day freezing, month freezing, settlement day freezing, and year freezing functions, and the freezing period and storage depth can be configured. The frozen data source can be configured as any single unit real-time data.

[0077] 1. Data statistics

[0078] The Internet of Things edge processing unit should support cumulative average, extreme value statistics, and interval statistics to realize power quality statistical analysis and other business statistical requirements. The data source for statistics is the current data collected through the acquisition terminal.

[0079] The Internet of Things edge processing unit supports voltage qualification rate statistics.

[0080] 2. Data compression

[0081] The processing unit data can be transmitted in compressed and uncompressed modes. For data transmitted in compressed mode, lossless compression algorithm must be used to ensure that the decompressed data is exactly the same as the original data. For data longer than 1k, the compression ratio should be less than 70%.

[0082] 3. Parameter setting and query

[0083] Clock call and time synchronization

[0084] The processing unit should be able to receive the clock call and time synchronization commands of the master station, and the time synchronization error should not exceed 5s.

[0085] The processing unit should support accurate time synchronization with the master station side, or automatically correct the clock deviation through wireless public network and Ethernet.

[0086] Processing unit parameters

[0087] The processing unit can be set and queried by the master station to set and query the processing unit communication address, configuration parameters, communication parameters, latitude and longitude parameters, etc.

[0088] The processing unit communication parameters include wireless remote communication parameters, Ethernet communication parameters, Ethernet local communication parameters, and local maintenance port communication parameters; wireless remote communication supports APN adaptation and multiple master station connection.

[0089] Statistical parameters

[0090] The processing unit can be set and queried by the master station to set and query extreme value statistics, cumulative average, and interval statistics related parameters, and the statistical interval and statistical frequency can be configured. The statistical data source can be dynamically configured according to application requirements.

[0091] Four, events and reporting

[0092] The processing unit automatically determines the occurrence or recovery of an event according to the event attributes set by the master station. When an event occurs or recovers, it determines whether it needs to be reported according to the configuration of the master station, and records the reporting status at the same time. The content of each record includes event type, occurrence time and related associated data information.

[0093] Event reporting needs to be reported independently through channels, and the reporting status is recorded separately by channel, including "not reported", "reported", and "report not confirmed".

[0094] The processing unit should be able to record parameter changes, processing unit power-on / off events, etc. The main events recorded are shown in Table 2.

[0095] Table 2 Event Record

[0096] Serial number Data item Data source 1 Processing unit initialization Processing unit 2 Processing unit version change Processing unit 3 Monthly communication traffic overrun Processing unit 4 Processing unit time event Processing unit

[0097] Five, data transmission

[0098] 1. Communication with the master station

[0099] Requirements for communication with the master station:

[0100] a) The processing unit can send various information such as power, energy value, state quantity, etc. collected and stored by the processing unit to the master station in a timely manner or randomly as required by the master station command.

[0101] b) The communication protocol between the processing unit and the master station and the local maintenance of the processing unit shall comply with Q / GDW11778-2017.

[0102] c) Security measures should be taken for the transmission of important data and parameter settings, control messages.

[0103] d) The processing unit should be equipped with 2-way RJ-45 Ethernet communication interface for remote communication.

[0104] e) The processing unit using wireless public network channel should take flow control measures.

[0105] 2. Proxy

[0106] The processing unit should have proxy function, which can forward the data such as commands or file packets required to be transmitted by the master station through the corresponding communication port, realizing the relay function.

[0107] Six, clock and positioning

[0108] 1. Automatic clock synchronization

[0109] a) Master station clock automatic synchronization: obtain clock from master station; if the processing unit and the master station clock deviation is greater than 5 minutes, the processing unit automatically calibrates the time, generates a time calibration event and reports to the master station.

[0110] b) Acquisition terminal clock automatic synchronization: obtain clock from acquisition terminal; if the processing unit and the acquisition terminal clock deviation is greater than 5 minutes, the processing unit automatically calibrates the time, generates a time calibration event and reports to the master station.

[0111] c) The processing unit gives priority to the master station clock synchronization, if the master station does not support clock synchronization, then enable the acquisition terminal clock automatic synchronization function.

[0112] 2. Satellite positioning

[0113] The processing unit supports satellite positioning function.

[0114] Seven, local function

[0115] 1. Local state indication

[0116] The processing unit should have local state indication, indicating the working state of the processing unit such as running, communication, etc.

[0117] 2. Local maintenance interface

[0118] The processing unit should have a local maintenance interface such as USB or Ethernet, through which the processing unit parameters can be set, software upgrades can be performed, etc. The communication protocol of the local maintenance interface should support the Q / GDW11778-2017 protocol.

[0119] Eight, processing unit maintenance

[0120] 1. Self-diagnosis and self-recovery

[0121] The processing unit should have an automatic identification function module, self-test, self-diagnosis function, and can immediately recover and record abnormal information when the components or function modules of the processing unit are found to be abnormal.

[0122] The processing unit and function module should record the number of self-recoveries per day.

[0123] The self-diagnosis and self-recovery of the processing unit should not affect data acquisition.

[0124] 2. Remote upgrade

[0125] The processing unit software can be downloaded online through a remote communication channel. The upgrade must be licensed and certified by ESAM before it can be performed. When the processing unit performs remote software download, the processing unit software should have the ability to resume transmission at the breakpoint.

[0126] Nine, security protection

[0127] 1. Hardware security protection

[0128] The processing unit should use a hardware security module approved by the National Cryptographic Administration to realize data encryption and decryption. The hardware security module should support symmetric key algorithms and asymmetric key algorithms. The key algorithm should comply with the relevant policies of the National Cryptographic Administration, and the symmetric key algorithm is recommended to use the SM1 algorithm.

[0129] 2. Network firewall

[0130] The processing unit can be optionally equipped with a packet filtering firewall function. The default rules of the firewall should include SSH service anti-brute force cracking rules and anti-port scanning rules. The firewall rules of the processing unit should be updated by the host station.

[0131] Ten, intelligent monitoring of transformer area

[0132] 1. Distribution transformer monitoring

[0133] The Internet of Things edge processing unit is equipped with DC analog quantity and temperature sensor acquisition functions, and has the function of collecting remote signaling displacement data in the acquisition terminal, realizing the monitoring of switch status and environmental temperature and humidity information in the distribution transformer station. The real-time monitoring of transformer voltage, current, power, power factor and other working condition information can be realized through the acquisition of intelligent equipment in the transformer area or the acquisition terminal.

[0134] Table 3 Real-time and statistical data

[0135] Serial number Data item Data source 1 Low-voltage side three-phase voltage of distribution transformer Collection terminal / smart device 2 Low-voltage side zero-sequence voltage of distribution transformer Collection terminal / smart device 3 Three-phase current of outgoing line of distribution transformer Collection terminal / smart device 4 Zero-sequence current of outgoing line of distribution transformer Collection terminal / smart device 5 Frequency Collection terminal / smart device 6 Active power Collection terminal / smart device 7 Reactive power Collection terminal / smart device 8 Power factor Collection terminal / smart device 9 Three-phase active power Collection terminal / smart device 10 Three-phase reactive power Collection terminal / smart device 14 Temperature and humidity Sensor 15 Ambient gas concentration Sensor 16 Temperature, pressure, and level of transformer oil Sensor

[0136] Table 4 Cumulative power data

[0137] Serial number Data item Data source 1 Current forward active electric energy Collection terminal / smart device 2 Current forward reactive electric energy Collection terminal / smart device 3 Current reverse active electric energy Collection terminal / smart device 4 Current reverse reactive electric energy Collection terminal / smart device 5 15-minute frozen forward active electric energy Collection terminal / smart device 6 15-minute frozen forward reactive electric energy Collection terminal / smart device 7 15-minute frozen reverse active electric energy Collection terminal / smart device 8 15-minute frozen reverse reactive electric energy Collection terminal / smart device 9 Daily total active electric energy Collection terminal / smart device 10 Daily total reactive electric energy Collection terminal / smart device 11 Daily rate active electric energy Collection terminal / smart device 12 Daily rate reactive electric energy Collection terminal / smart device

[0138] 2. Residual current operated protective device monitoring

[0139] The processing unit can communicate with the residual current operated protective device through communication methods such as RS485, to realize monitoring of the residual current operated protective device for such alarm information as the on / off state, residual current value, voltage / current, and over-limit and tripping.

[0140] 3. Substation and low-voltage user power consumption information monitoring and early warning

[0141] The processing unit should collect signals such as the position state of the low-voltage side total circuit breaker of the substation transformer, the tripping state, the cabinet door opening and closing state, and branch circuit switch state. The position information of the low-voltage incoming and outgoing line switches can be collected through communication methods such as RS485.

[0142] Table 5 Monitoring and early warning data

[0143] Serial number Data item Data source 1 Breaker position and tripping state Processing unit 2 Cabinet door opening and closing state Processing unit 3 Branch circuit switch state Processing unit 4 Low-voltage incoming and outgoing line switch state Processing unit 5 Lower limit of low-voltage side voltage Ua of distribution transformer Processing unit 6 Lower limit of low-voltage side voltage Ub of distribution transformer Processing unit 7 Lower limit of low-voltage side voltage Uc of distribution transformer Processing unit 8 Upper limit of low-voltage side voltage Ua of distribution transformer Processing unit 9 Upper limit of low-voltage side voltage Ub of distribution transformer Processing unit 10 Upper limit of low-voltage side voltage Uc of distribution transformer Processing unit 11 Breaker position and tripping state Processing unit 12 Cabinet door opening and closing state Processing unit 13 Branch circuit switch state Processing unit 14 Low-voltage incoming and outgoing line switch state Processing unit

[0144] Eleven. Low-voltage power consumption side management

[0145] 1. Substation network topology identification

[0146] Through collection of substation network topology information in the collection terminal, combined with sensing data of intelligent devices at all levels of the substation, data analysis and calculation are performed to realize identification of network topology at all levels of the collection system.

[0147] 2. Substation line loss analysis

[0148] The processing unit should have the function of calculating the daily line loss rate of the substation. The processing unit should calculate the daily power consumption of low-voltage users every day, and calculate the line loss rate in combination with the daily power consumption of the substation total meter, formula: line loss rate = (daily power consumption of the substation total meter - ∑(daily power consumption of the user meter)) / daily power consumption of the substation total meter x 100%, and record the daily line loss rate curve.

[0149] 3. Low-voltage fault rapid research and reporting

[0150] Through collection of terminal and measurement point outage and restoration event records in the collection terminal and outage and restoration related data of intelligent devices at all levels of the substation, combined with substation network topology information, according to research and judgment logic, the outage fault is located, the outage area is analyzed, and it can be reported to the master station.

[0151] Twelve. Power quality analysis

[0152] 1. Voltage monitoring out-of-limit statistics

[0153] The processing unit can have the functions of voltage deviation monitoring and voltage qualification rate statistics. It has the functions of daily and monthly statistics, and according to the set allowed voltage upper and lower limit values, it can statistically obtain:

[0154] Voltage qualification rate and qualification cumulative time.

[0155] Voltage over-limit rate and corresponding cumulative time.

[0156] Voltage under-limit rate and corresponding cumulative time.

[0157] Specifically, the principle of low-voltage area fault analysis is:

[0158] Low-voltage area fault analysis is an edge computing app, which is mainly responsible for judging the current power failure situation in the area according to the current power-on / off data reporting information and the area topology, and is used for accurate positioning of area faults. Its fault points include users, meter boxes, branch lines, branch phase lines, area phase lines, and areas. As a container, it can query the power-on / off events of the area terminal, the household meter power-off record, and the branch power-off record, analyze the power-off area in combination with the area topology, locate the power-off fault according to the analysis logic, and return the current power-off situation and the power-off location of the area.

[0159] Input: All area terminal power-on / off events, area topology.

[0160] Output: Current power-off situation and specific power-off location.

[0161] Specifically, the principle of three-phase imbalance of the area is:

[0162] Three-phase imbalance of the area is an edge computing app, which mainly gives three-phase imbalance treatment suggestions according to the current current imbalance degree after statistical analysis. As a container, it receives calculation requests sent by other container apps through MQTT, and returns the results through MQTT after the calculation is completed.

[0163] Input: Three-phase current, zero-line current, and load rate of the total meter, phase and current of each phase-change switch, and phase and current of each branch detection unit.

[0164] Output: Adjusted three-phase imbalance degree and required phase-change switch action sequence to achieve the imbalance degree.

[0165] Specifically, the principle of power supply reliability analysis is:

[0166] Power supply reliability analysis is an edge computing app, mainly responsible for monitoring the voltage of all users in the area, when the power supply voltage is lower than the specified lower limit or higher than the specified upper limit, voltage out-of-limit event is generated. As a container, the resources it depends on include CPU, memory, platform database, and communication interfaces include database interface, MQTT interface.

[0167] Input: all area user voltage data.

[0168] Output: if out of limit, generate voltage out-of-limit alarm event.

[0169] The above is only the preferred embodiment of the present application, not any form of limitation on the present application, according to the technical essence of the present application, any simple modification, equivalent replacement and improvement of the above embodiment within the spirit and principle of the present application, all still belong to the protection scope of the technical scheme of the present application.

Claims

1. A low-voltage area-based fault analysis method, characterized in that, The application is applied to a power grid collection terminal and specifically comprises the following steps: S1, obtaining terminal data generated by the substation equipment in the running process, wherein the terminal data comprises stop and power-on information of all substation terminals and substation topology information; S2, analyzing the terminal data according to a fault research and judgment rule to obtain analysis data, wherein the analysis data comprises current power-off information and power-off position information; The fault research and judgment rule is as follows: SA: obtaining stop and power-on information of a current total meter of the terminal data; SB: judging whether the total meter is powered off; SC: if powered off, returning total meter power-off information to a master station; SD: obtaining stop and power-on event information of all current electric meters of the terminal data; SE: comparing the stop and power-on event information of all current electric meters according to a rule, and retaining stop and power-on event information of all current electric meters that meet the rule; SF: obtaining powered-off terminals according to the stop and power-on event information of all current electric meters that meet the rule; SG: obtaining substation topology information; The obtaining of the substation topology information comprises: Step one, setting a sending start time X of the substation equipment, a sending interval L, and a sending topology identification and parallel method instruction; Step two, obtaining a number M of the substation equipment, and automatically setting a characteristic current sending time of all equipment at an interval of L from the X time point, wherein X is a current time; Step three, sending all preset sending times to corresponding electric meters and intelligent circuit breakers; Step four, controlling all equipment to send characteristic currents according to the preset time, and automatically triggering and sequentially switching currents after reaching the set time; Step five, controlling the exchange sampling of all intelligent circuit breakers and modular terminals to be in a detection state, and if a characteristic current signal is detected, saving the current size, phase and identification time in the local equipment, and for the terminal and the intelligent circuit breaker, setting an active event reporting, and reporting the detected identification result to the master station through the terminal; Step six, when all equipment sending is completed and the timing ends, receiving time tag results recorded by all terminals and intelligent circuit breakers; Step seven, the master station analyzes and calculates the topology relationship at this time, the number N of failed equipment and the address according to the time tag; The step SG further comprises: judging whether it is a certain phase power-off or a certain branch power-off according to the substation topology information; if there is a certain phase power-off or a certain branch power-off, recording information of the phase and the branch; SH: obtaining position information corresponding to the powered-off terminals through traversing the substation topology information and recording the position information; S3, sending the analysis data to the master station, so that the master station generates a security protection strategy according to the analysis data.

2. The low-voltage area-based fault analysis method according to claim 1, characterized in that, The terminal data further comprises a power loss state and user feedback of power-off, and the fault research and judgment rule specifically comprises: monitoring the power loss state or the user feedback of power-off, and sending a request to a marketing system to confirm whether the user is a delinquent user; if "yes" information is received, feeding back user information of paying electricity charges to the master station; if "no" information is received, confirming that there is no delinquent behavior of the user.

3. The low-voltage area-based fault analysis method according to claim 2, characterized in that, The terminal data further comprises other electric meter monitoring information, and the fault research and judgment rule further comprises: Confirming whether in power failure state by acquiring other electric energy meter monitoring information; If not, determining as single household fault; If yes, confirming that other meters in meter box are in power failure state.

4. The low-voltage area-based fault analysis method according to claim 3, characterized in that, The terminal data further includes branch box switch monitoring data, if other meters in meter box are in power failure state, acquiring branch box switch monitoring data, determining whether branch box switch is in power failure state and has high temperature, if yes, determining as branch box fault.

5. The low-voltage area-based fault analysis method according to claim 4, characterized in that, The terminal data further includes transformer area switch monitoring data, if branch box switch is normal, acquiring transformer area switch monitoring data, determining whether transformer area switch is in power failure state and has high temperature, if yes, determining as transformer area fault.

6. The low-voltage area-based fault analysis method according to claim 5, characterized in that, If transformer area switch is normal, it can be determined as line fault.

7. The low-voltage area-based fault analysis method according to claim 1, characterized in that, The safety protection strategy is a maintenance work order generated according to current power failure information and power failure position information.

8. An edge processing unit of the Internet of Things, characterized in that Applied to a collection terminal, comprising a memory; one or more processors; and one or more modules stored in the memory and configured to be executed by the one or more processors, the one or more modules are used to implement a low-voltage transformer area based fault analysis method as claimed in any one of claims 1-7.

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