User power outage and restoration monitoring method, system and computer device with cloud-edge-end collaboration

Abstract

The present application relates to a method, system, computer equipment and storage medium for monitoring user power outages and restorations in a cloud-edge-end collaborative manner. The method comprises: receiving an edge end based on the edge-side "transformer-phase line-branch line-user" topology model, combining valid power outage alarm events collected at the same time point in the area where the IoT gateway is located to generate an edge power outage event list; based on the "substation-line-branch line-transformer" topology model, generating a distribution network power outage event list according to the acquired external system distribution network line outlet switch, branch switch, station-transformer combination circuit breaker switch position information and line fault information; matching the edge power outage event list with the distribution network power outage event list to determine the actual power outage warning list and power outage type at the current moment; based on the power outage type, powering on and monitoring each power outage area in the actual power outage warning list to obtain power restoration data. The use of this method can improve the real-time and accuracy of monitoring power outage events.

Description

Technical Field

[0001] The present application relates to the field of power grid monitoring technology, and in particular to a method, system and computer device for monitoring power outages and restorations of users in a cloud-edge-end collaborative manner. Background Art

[0002] The power outage time of users is an important indicator to measure the continuous power supply capacity of power supply enterprises, and is a comprehensive reflection of the management quality and level of power grid planning and construction, production operation, marketing services, etc. For power supply enterprises, it is very important to quickly and accurately identify user power outage events.

[0003] At present, the common practice for metering systems to identify power outage events for users is to use the terminal power outage / power-on alarm information actively reported by the metering automation terminal as input, combined with the terminal power supply time information regularly measured by the master station, to review and verify the current and voltage curve data of the user metering point for T±3 days, conduct comprehensive research and analysis, confirm the user power outage event, and count the user power outage time. The power outage events counted in this way are not accurate and lack real-time performance. Summary of the invention

[0004] Based on this, it is necessary to provide a cloud-edge-end collaborative user power outage and restoration monitoring method, system, computer equipment and storage medium that can improve the real-time and accuracy of monitoring power outage events in response to the above technical problems.

[0005] A method for monitoring power outage and restoration of a user in a cloud-edge-end collaborative manner, the method comprising:

[0006] Receive an edge power outage event list sent by the edge end; the edge power outage event list is generated by combining the valid power outage alarm events collected at the same time point in the area where the IoT gateway is located based on the edge side "transformer-phase line-branch line-user" topology model; the valid power outage alarm event is determined by collecting voltage data and current data of the electric energy meter in the substation area at adjacent times, and verifying the power outage alarm event collected by the collection device;

[0007] Based on the "substation-line-branch line-transformer" topology model, a distribution network outage event list is generated according to the location information of the outgoing line switches, branch switches, and combined circuit breakers of the external system distribution network and line fault information;

[0008] Matching the marginal power outage event list with the distribution network power outage event list to determine the actual power outage warning list and the power outage type at the current moment;

[0009] Based on the power outage type, each power outage area in the actual power outage warning list is powered on and monitored to obtain power restoration data.

[0010] In one embodiment, matching the marginal power outage event list with the distribution network power outage event list to determine the actual power outage warning list at the current moment includes:

[0011] Get the station area identification of each station outage area;

[0012] Matching the edge power outage event list and the distribution network power outage event list according to each of the substation area identifiers to obtain a same power outage event set, a single edge side power outage event set, and a single distribution network power outage event set;

[0013] Determine a valid single edge side power outage event set in the single edge side power outage event set, and a valid single distribution network power outage event set in the single distribution network power outage event set;

[0014] According to the same power outage event set, the valid single edge side power outage event set and the valid single distribution network power outage event set, the actual power outage warning list at the current moment is determined.

[0015] In one of the embodiments, determining the valid single edge side power outage event set in the single edge side power outage event set and the valid single distribution network power outage event set in the single distribution network power outage event set includes:

[0016] Obtain the first voltage value and the first current value of each area edge end corresponding to each single edge side power outage event in the single edge side power outage event set; and the second voltage value and the second current value of each area edge end corresponding to each single distribution network power outage event in the single distribution network power outage event set;

[0017] If the first voltage value is not within a preset first voltage threshold range, and the first current value is not within a preset first current threshold range, determining that the corresponding single-edge power outage event is a valid single-edge power outage event, and obtaining a valid single-edge power outage event set;

[0018] If the second voltage value is not within the preset second voltage threshold range, and the second current value is not within the preset second current threshold range, the corresponding single distribution network power outage event is determined to be a valid single distribution network power outage event, and a valid single distribution network power outage event set is obtained.

[0019] In one embodiment, based on the power outage type, each power outage area in the actual power outage warning list is powered on and monitored to obtain power restoration data, including:

[0020] Visually display the actual power outage warning list and power outage categories, and generate power restoration instructions;

[0021] Based on the power outage type and the power restoration instruction, the power outage areas in the actual power outage warning list are restored, and the power restoration status of each power outage area is monitored to obtain power restoration data.

[0022] In one embodiment, based on the power outage type and the power restoration instruction, the power outage areas in the actual power outage warning list at the current moment are restored, and the power restoration status of each power outage area is monitored to obtain power restoration data, including:

[0023] According to the power restoration instruction, power on each power outage area in the actual power outage warning list to obtain a marginal power restoration event list;

[0024] Based on the "substation-line-transformer" topology, a distribution network restoration event list is generated according to the real-time distribution network line switch location information and line fault elimination information obtained by the distribution network automation system;

[0025] Matching the edge power restoration event list with the distribution network power restoration event list to determine an actual power restoration user set;

[0026] Based on the power outage type, power restoration tracking and verification is performed on each actual power restoration user in the actual power restoration user set to obtain power restoration data.

[0027] In one of the embodiments, based on the power outage type, performing power restoration tracking and verification on each actual power restoration user in the actual power restoration user set to obtain power restoration data includes:

[0028] Determining a power-on verification condition for the power-on tracking verification;

[0029] When the power-on verification condition is met, performing a power-on tracking closed-loop verification on each actual power-on user in the actual power-on user set according to the power outage type;

[0030] If the verification is successful, the power is restored normally and the normal power restoration data is obtained;

[0031] If the verification fails, the power-on exception occurs and the power-on exception data is obtained.

[0032] In one embodiment, the method further comprises:

[0033] When the verification fails, determining a list of abnormal power restoration customers from the actual power restoration user set according to the abnormal power restoration data;

[0034] The abnormal power-on restoration customers in the abnormal power-on restoration customers list are subjected to abnormal tracking processing.

[0035] A user power outage and restoration monitoring system with cloud-edge-end collaboration, the system comprising:

[0036] A receiving module is used to receive an edge power outage event list sent by an edge end; the edge power outage event list is generated by combining the valid power outage alarm events collected at the same time point in the area where the IoT gateway is located based on the edge side "transformer-phase line-branch line-user" topology model; the valid power outage alarm event is determined by collecting voltage data and current data of the electric energy meter under the substation at adjacent times, and verifying the power outage alarm event collected by the collection device;

[0037] A power outage event generation module is used to generate a distribution network power outage event list based on the "substation-line-branch line-transformer (substation area)" topology model and the obtained external system distribution network line outgoing line switch, branch switch, substation-transformer combination circuit breaker switch position information and line fault information;

[0038] A matching module, used to match the marginal power outage event list with the distribution network power outage event list to determine the actual power outage warning list and the power outage type at the current moment;

[0039] The monitoring module is used to power on and monitor each power outage area in the actual power outage warning list based on the power outage type to obtain power restoration data.

[0040] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0041] Receive an edge power outage event list sent by the edge end; the edge power outage event list is generated by combining the valid power outage alarm events collected at the same time point in the area where the IoT gateway is located based on the edge side "transformer-phase line-branch line-user" topology model; the valid power outage alarm event is determined by collecting voltage data and current data of the electric energy meter in the substation area at adjacent times, and verifying the power outage alarm event collected by the collection device;

[0042] Based on the "substation-line-branch line-transformer" topology model, a distribution network outage event list is generated according to the location information of the outgoing line switches, branch switches, and combined circuit breakers of the external system distribution network and line fault information;

[0043] Matching the marginal power outage event list with the distribution network power outage event list to determine the actual power outage warning list and the power outage type at the current moment;

[0044] Based on the power outage type, each power outage area in the actual power outage warning list is powered on and monitored to obtain power restoration data.

[0045] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the following steps:

[0046] Receive an edge power outage event list sent by the edge end; the edge power outage event list is generated by combining the valid power outage alarm events collected at the same time point in the area where the IoT gateway is located based on the edge side "transformer-phase line-branch line-user" topology model; the valid power outage alarm event is determined by collecting voltage data and current data of the electric energy meter in the substation area at adjacent times, and verifying the power outage alarm event collected by the collection device;

[0047] Based on the "substation-line-branch line-transformer" topology model, a distribution network outage event list is generated according to the location information of the outgoing line switches, branch switches, and combined circuit breakers of the external system distribution network and line fault information;

[0048] Matching the marginal power outage event list with the distribution network power outage event list to determine the actual power outage warning list and the power outage type at the current moment;

[0049] Based on the power outage type, each power outage area in the actual power outage warning list is powered on and monitored to obtain power restoration data.

[0050] The above-mentioned cloud-edge-end collaborative user power outage and restoration monitoring method, system, computer equipment and storage medium, by collecting voltage data and current data of the electric energy meters in the substation area at adjacent times at the edge end, verify the power outage alarm events collected by the collection equipment, obtain effective power outage alarm events, and combine the effective power outage alarm events collected at the same time point in the area where the Internet of Things gateway is located based on the edge side "transformer-phase line-branch line-user" topology model to obtain an edge power outage event list; based on the "substation-line-branch line-transformer" topology model, according to the obtained external system distribution network line outgoing line switches, branch switches, substations The switch position information and line fault information of the combined circuit breaker are changed to generate a distribution network power outage event list; the edge power outage event list and the distribution network power outage event list are matched to determine the actual power outage warning list and the power outage type at the current moment; based on the power outage type, each power outage area in the actual power outage warning list is powered on and monitored to obtain power restoration data; that is, the data processing capability of the edge is utilized to disperse the data processing pressure of the platform data center, and the distribution network automation data is connected, so that the sampling data that can be used for system analysis is expanded, and the sampling data range includes each node of the power grid topology structure, ensuring the accuracy and real-time nature of the power outage warning range. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 This is an application environment diagram of a method for monitoring power outages and restorations of users in a cloud-edge-end collaborative manner in one embodiment;

[0052] Figure 2 A flowchart of a method for monitoring power outages and restorations of users in a cloud-edge-end collaborative manner in one embodiment;

[0053] Figure 3 A schematic diagram of a flow chart of a method for determining an actual power outage warning list in an embodiment;

[0054] Figure 4 A schematic diagram of the result of matching the edge power outage event list and the distribution network power outage event list in one embodiment;

[0055] Figure 5 A flowchart of a method for monitoring user power restoration in a cloud-edge-end collaborative manner in one embodiment;

[0056] Figure 6 A flowchart of a method for monitoring power outages and restorations of users in cloud-edge-end collaboration in another embodiment;

[0057] Figure 7 A structural block diagram of a user power outage and restoration monitoring system in which cloud, edge, and end collaborate in one embodiment;

[0058] Figure 8 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0060] The user power outage and restoration monitoring method provided in this application can be applied to Figure 1In the application environment shown. Among them, the perception layer acquisition device (i.e., the device end), the edge end 102 and the cloud end 104 communicate through the network. Among them, the intelligent fusion terminal can be a terminal with edge computing and edge side control functions that interacts with the perception device through RS485, HPLC carrier, micro-power wireless, etc.; the edge end includes intelligent fusion terminals and distributed Internet of Things gateway front-ends, etc.; the distributed gateway front-end is the point where the main station and the terminal actually communicate and connect, and the distributed gateway can also deploy distributed algorithms and databases to realize edge side computing; the cloud refers to the system main station end, and the system main station end includes the platform layer data sub-center, the platform layer data center and the platform layer business center, etc. The platform layer data sub-center and the platform layer data center can realize cloud applications and serve as a data storage center, and the platform layer business center has a display function. The cloud receives the edge power outage event list sent by the edge; the edge power outage event list is generated by combining the valid power outage alarm events collected at the same time point in the area where the IoT gateway is located based on the edge side "transformer-phase line-branch line-user" topology model; the valid power outage alarm event is determined by collecting the voltage data and current data of the electric energy meter under the substation at adjacent times, and verifying the power outage alarm events collected by the collection equipment; based on the "substation-line-branch line-transformer" topology model, the distribution network power outage event list is generated according to the obtained external system distribution network line outgoing line switch, branch switch, substation combination circuit breaker switch position information and line fault information; the edge power outage event list and the distribution network power outage event list are matched to determine the actual power outage warning list and power outage type at the current moment; based on the power outage type, each power outage area in the actual power outage warning list is powered on and monitored to obtain power restoration data.

[0061] It is understandable that the cloud-based platform-layer data center application uses big data analysis to build a topology model through data sharing of multiple data systems, and conducts data statistical analysis and display. At the same time, the cloud can directly control the terminal equipment through tasks. The topology model of the edge is consistent with the cloud. The edge side deploys edge computing methods, and conducts data analysis on the edge side through machine learning and artificial intelligence. The edge side can also control the terminal equipment. The edge end layer is responsible for high-frequency data collection, including the collection equipment of each node of the power supply topology under the substation area. The collection equipment also has the function of actively sending alarms.

[0062] In one embodiment, Figure 2 As shown in the figure, a method for monitoring power outage and restoration of users in a cloud-edge-end collaborative manner is provided. Figure 1 The following steps are used as an example to illustrate the cloud in the example:

[0063] Step 202: Receive an edge power outage event list sent by the edge end.

[0064] Among them, the edge power outage event list is based on the edge side "transformer-phase line-branch line-user" topology model, which combines the effective power outage alarm events collected at the same time point in the area where the distributed Internet of Things gateway is located; the effective power outage alarm event is determined by collecting the voltage data and current data of the electric energy meter under the substation at adjacent times, and verifying the power outage alarm events collected by the perception layer equipment.

[0065] That is to say, the user's electricity parameters are collected by the perception layer equipment at the device end; the electricity parameters include the user's electricity meter real-time voltage data, real-time current data, power outage alarm event data and switch real-time operation data and location information, metering automation terminal real-time voltage, current AC sampling data, switch data (switch data includes branch switch, phase switch, cable junction box switch, electricity meter box switch real-time operation data and location signal data) and other data. The perception layer equipment includes smart meters, smart gas meters, smart water meters, branch switch collectors, phase switch collectors, meter box switch collectors and other intelligent perception devices.

[0066] Specifically, the perception layer device sends the collected power consumption parameters to the edge end. The intelligent fusion terminal at the edge end filters the acquired power consumption parameter data based on the "user-transformer" topological structure model, that is, according to the preset time interval (wherein the preset time interval can be set according to actual needs, and can be but not limited to 1 minute), the switch position information of each phase switch, branch switch, and meter box switch under the substation (transformer) is collected, and the voltage and current information of the electric energy meter under the substation is filtered to filter the corresponding data in the power consumption parameters, filter the abnormal data, and obtain the power outage alarm event. Part data; optionally, for multiple repeated alarm events corresponding to the same device received at the same time point, a valid alarm is determined to obtain a valid power outage alarm event; wherein, for the power outage alarm of the electric energy meter, the edge intelligent fusion terminal verifies the voltage and current values ​​of the meter at adjacent moments. If the voltage and current values ​​are still collected normally after the alarm is generated, it is determined to be an invalid alarm. For the switch collection device at each topological level, if the voltage abnormality alarm is reported or the state is a jump, and the back-end device of the corresponding switch node at the next time point can still sample normally, it is determined to be an invalid alarm.

[0067] The edge layer IoT gateway, i.e. the distributed IoT gateway at the edge, conducts batch communication tests and voltage and current real-time data call and test verification on the devices associated with the identified valid alarm events, and verifies the accuracy of the power outage alarm events again. That is, combined with the edge side "transformer-phase line-branch line-user" topology model, the power outage events collected at the same time point in the area where the IoT gateway is located are collected and combined to generate an edge power outage event list; the obtained edge power outage event list is sent to the platform layer data center; among them, the edge power outage event list includes the power meter information of the power outage user, the power meter box information of the power outage user, the branch line to which the power outage user belongs, the phase of the power outage user, the transformer (station area) to which the power outage user belongs, the branch line to which the power outage user belongs, the line to which the power outage user belongs, the substation to which the power outage user belongs, and the power supply unit of the power outage user, etc.

[0068] Step 204, based on the "substation-line-branch line-transformer" topology model, according to the acquired external system distribution network line outgoing line switch, branch switch, station-transformer combination circuit breaker switch position information and line fault information, generate a distribution network power outage event list.

[0069] Specifically, based on big data applications, the platform-layer data center in the cloud obtains the location information and line fault information of the distribution network line outlet switches, branch switches, and station-transformer combination circuit breakers of the external system (i.e., the distribution network automation system), and combines the "substation-line-branch line-transformer (station area)" topology model of the platform layer to generate a list of distribution network power outage events.

[0070] Step 206, matching the marginal power outage event list with the distribution network power outage event list to determine the actual power outage warning list and the power outage type at the current moment.

[0071] Specifically, the cloud platform layer calls the data microservice to match the edge power outage event list with the distribution network power outage event list, and verifies it through the edge device remote joint debugging (real-time call for voltage, current, equipment online status, etc.) service to confirm the actual power outage warning list at the current moment, and confirm the power outage category based on the topological relationship of "substation-line-transformer-user"; and visualizes the actual power outage warning list and the corresponding power outage type through the platform business layer center.

[0072] Among them, the power outage categories include single-household power outage, single-phase power outage under the substation, branch line segment power outage under the substation, single substation area power outage, line branch power outage, full line power outage, area power outage, etc.; that is to say, the user information involved in the confirmed power outage alarm list is combined with the topological information of the users in the list (the meter box to which the user belongs, the branch line to which the user belongs, the user's power phase, the substation to which the user belongs, the line segment to which the substation belongs, the line to which the substation belongs, the substation to which the line belongs, the substation to which the line belongs, and the user's power supply unit) to classify and confirm the power outage category; for example, if only one user has a power outage at the same time, it is a single-household power outage; or if multiple users have power outages at the same time, and the users belong to the same substation and are all behind a branch node under the substation, it is determined to be a branch line power outage under the substation.

[0073] Step 208: Based on the power outage type, each power outage area in the actual power outage warning list is powered on and monitored to obtain power restoration data.

[0074] The power restoration data includes normal power restoration data and abnormal power restoration data.

[0075] Specifically, the actual power outage warning list and power outage categories are visualized through the platform-level business center in the cloud, and power restoration instructions are generated; based on the power outage type and power restoration instructions, the power outage areas in the actual power outage warning list are restored, and the power restoration situation of each power outage area is monitored to obtain power restoration data.

[0076] In the above-mentioned cloud-edge-end collaborative user power outage and restoration monitoring method, the edge end collects the voltage and current data of the electric energy meters in the power outage area at adjacent times, verifies the power outage alarm events collected by the perception layer equipment on the device end, and obtains effective power outage alarm events. Based on the edge side "transformer-phase line-branch line-user" topology model, the effective power outage alarm events collected at the same time point in the area where the IoT gateway is located are combined to obtain the edge power outage event list; the cloud end obtains the distribution network line outlet switch, branch switch, and station-transformer combined circuit breaker from the distribution network automation system based on the "substation-line-branch line-transformer" topology model. The switch position information and line fault information are used to generate a distribution network power outage event list; the cloud matches the edge power outage event list with the distribution network power outage event list to determine the actual power outage warning list and the power outage type at the current moment; based on the power outage type, each power outage area in the actual power outage warning list is powered on and monitored to obtain power restoration data; that is, the data processing capability of the edge is utilized to disperse the data processing pressure of the platform-level data center, and the distribution network automation data is connected. The sampling data that can be used for system analysis is expanded, and the sampling data range includes each node of the power grid topology structure, ensuring the accuracy and real-time nature of the power outage warning range.

[0077] In one embodiment, Figure 3As shown, a method for determining an actual power outage warning list is provided, and the method is applied to Figure 1 The following steps are used as an example to illustrate the cloud in the example:

[0078] Step 302, obtaining the station area identification of each station outage area.

[0079] In which, the substation (ie, transformer) has a corresponding substation identification for distinguishing different substations. Step 304, according to each substation identification, the edge power outage event list and the distribution network power outage event list are matched to obtain the same power outage event set, the single edge side power outage event set, and the single distribution network power outage event set.

[0080] Specifically, the cloud obtains the edge power outage event list of the edge side (i.e., the edge end), matches the edge power outage event list with the distribution network power outage event list according to the station area identification of the outage station area, and when the edge power outage event in the edge power outage event list and the distribution network power outage event in the distribution network power outage event list are the same (i.e., intersection), they are determined to be the same power outage event; if they are not the same, they are respectively confirmed as a single edge side power outage event set and a single distribution network power outage event set. For example, Figure 4 As shown, this is a schematic diagram of the results of matching the edge power outage event list and the distribution network power outage event list. The edge side power outage event list and the distribution network power outage event list are obtained, and matching is performed based on the substation identification field to obtain the intersection (same power outage event) A, single edge side power outage event set B, and single distribution network power outage event set C.

[0081] Step 306 , determining a valid single edge side power outage event set in the single edge side power outage event set and a valid single distribution network power outage event set in the single distribution network power outage event set.

[0082] Step 308: Determine the actual power outage warning list at the current moment according to the same power outage event set, the valid single edge side power outage event set and the valid single distribution network power outage event set.

[0083] Specifically, the first voltage value and the first current value of each substation edge end corresponding to each single-edge power outage event in the single-edge power outage event set are obtained; as well as the second voltage value and the second current value of each substation edge end corresponding to each single distribution network power outage event in the single distribution network power outage event set; if the first voltage value is not within the preset first voltage threshold range, and the first current value is not within the preset first current threshold range, then the corresponding single-edge power outage event is determined to be a valid single-edge power outage event, and a valid single-edge power outage event set is obtained; if the second voltage value is not within the preset second voltage threshold range, and the second current value is not within the preset second current threshold range, then the corresponding single distribution network power outage event is determined to be a valid single distribution network power outage event, and a valid single distribution network power outage event set is obtained; wherein the threshold range is the threshold interval determined by the terminal equipment power outage alarm logic to be a power outage, the first voltage threshold range and the second voltage threshold range are the same, and outside the threshold refers to the voltage value at which the terminal equipment can work normally.

[0084] For example, for a single distribution network power outage event set C, the master station calls for the voltage and current of the corresponding intelligent fusion terminal in each substation. If the voltage and current are within the threshold range, it is a distribution network false alarm event and is included in the suspected distribution network "line-transformer" topology anomaly list P. The event is an invalid event and is not included in the power outage list N. If the voltage and current of the intelligent fusion terminal called for are outside the threshold range, it is a valid event and each user under the substation is included in the power outage event list set N; for a single edge side power outage event B, the master station calls for the voltage and current of the corresponding intelligent fusion terminal in each substation. If the voltage and current are within the threshold range, it is included in the power outage list N and the suspected distribution network "line-transformer" topology anomaly list P; if the voltage and current of the intelligent fusion terminal called for are outside the threshold range, it is an invalid event and is not included in the power outage event set N (N1, N2, N3......), where N1, N2, and N3 are power outage event lists containing topological relationships within the same time interval.

[0085] According to the same power outage event set, the effective single edge power outage event set and the effective single distribution network power outage event set, the actual power outage warning list at the current moment is determined, that is, the distribution network power outage event and the edge side power outage event. The topological levels of each collection device are different. According to the power outage events constructed by each collection, the differences in topological relationships are identified through matching, and the list of user power outage events in the same time period is improved.

[0086] In the above method for determining the actual power outage warning list, by obtaining the substation identification of each outage substation, the edge power outage event list and the distribution network power outage event list are matched according to each substation identification to obtain the same power outage event set, the single edge power outage event set, and the single distribution network power outage event set, and the validity of each power outage event in the single edge power outage event set and the single distribution network power outage event set is verified to determine the effective edge power outage events and the effective distribution network power outage events, that is, to identify the difference in the topological relationship of the corresponding equipment in the edge power outage event list and the distribution network power outage event list, and through the combined verification of data analysis results from different data sources, improve the list of user power outage events in the same time period to ensure the accuracy of the actual power outage warning list at the current moment.

[0087] In one embodiment, Figure 5 As shown in the figure, a user power restoration monitoring method for cloud-edge-end collaboration is provided, and the method is applied to Figure 1 The following steps are used as an example to illustrate the cloud in the example:

[0088] Step 502: According to the power restoration instruction, power on each power outage area in the actual power outage warning list to obtain a marginal power restoration event list.

[0089] Specifically, according to the power-on instruction, each power-off area in the actual power-off warning list is powered on to generate a power-on event. The perception layer equipment obtains the power usage parameters after the power is restored, which include the real-time voltage and current data of the customer's electricity meter, and the power-on alarm events, the real-time voltage and current AC sampling data of the metering automation terminal, and the power-on alarm events, and the real-time operation data of the branch switch and cable junction box, as well as the position signal data. The collected power usage parameters after the power is restored are sent to the edge intelligent fusion terminal at the edge end, which identifies the power usage parameters after the power is restored and identifies the valid power-on alarm event data. The identified valid power-on alarm events are called for operation data review and verification, and combined with the "transformer-user" topological relationship, an edge power-on event list is generated, and the edge power-on event list is sent to the platform layer data center in the cloud.

[0090] Step 504, based on the "substation-line-transformer" topology structure, according to the real-time acquired distribution network line switch position information and line fault elimination information of the distribution network automation system, a distribution network restoration event list is generated.

[0091] Specifically, the cloud generates a distribution network power restoration event list based on the pre-built "substation-line-transformer" topology structure and real-time acquisition of system distribution network line switch location information and line fault elimination information from the distribution network automation system.

[0092] Step 506: Match the edge power restoration event list with the distribution network power restoration event list to determine the actual power restoration user set.

[0093] Specifically, the cloud platform layer calls the data microservice to match the edge power restoration event list with the distribution network power restoration event list, and confirms the actual power restoration user list set at the current moment through remote joint debugging and verification of edge-side devices. Users who have been restored to power are removed from the tracking process, while users who have not been restored to power continue to track the process, and the user's power restoration results at the current moment are output synchronously.

[0094] Step 508: Based on the power outage type, power restoration tracking and verification is performed on each actual power restoration user in the actual power restoration user set to obtain power restoration data.

[0095] Among them, the power outage types include: power outage of the entire line, the line gateway load returns to normal, the line current on the distribution network automation system side is normal, and the substation outgoing switch position signal is normal; line branch power outage, the line branch point switch position signal in the distribution network automation system is normal, the branch line fault is eliminated, and the branch metering point current and voltage are normal; single transformer power outage, the pole switch position signal in the distribution network automation system is normal, and the transformer voltage and current are normal; branch line power outage under the substation area, the branch switch position signal is normal, and the branch metering point current and voltage are normal; some users under the substation area have power outage.

[0096] Specifically, the power-on verification conditions for power restoration tracking verification are determined; when the power-on verification conditions are met, a power restoration tracking closed-loop verification is performed on each actual power restoration user set according to the power outage type; if the verification passes, the power restoration is normal and normal power restoration data is obtained; if the verification fails, the power restoration is abnormal and abnormal power restoration data is obtained.

[0097] Among them, the power-on verification conditions include: power outage of the entire line, verifying the online status, voltage and current conditions of each substation terminal under the line; branch line power outage, verifying the online status, voltage and current conditions of each substation terminal under the branch line; single transformer power outage, verifying the position of each branch switch under the substation, and the meter reading and patrol situation of the entire substation terminal; branch line power outage under the substation, patrol and meter reading situation of each user substation terminal under the branch line; power outage for some users under the substation, and real-time measurement of each meter data by the substation terminal.

[0098] Optionally, in one embodiment, when the verification fails, a list of abnormal power-restored customers is determined from the actual power-restored users; and abnormal power-restored customers in the list of abnormal power-restored customers are tracked and processed for abnormality.

[0099] In the above-mentioned cloud-edge-end collaborative user power restoration monitoring method, by powering on each power outage area in the actual power outage warning list in the cloud according to the power restoration instruction, an edge power restoration event list is obtained, and based on the "substation-line-transformer" topology structure, a distribution network power restoration event list is generated according to the real-time distribution network line switch location information and line fault elimination information of the distribution network automation system; the edge power restoration event list and the distribution network power restoration event list are matched to determine the actual power restoration user set; based on the power outage type, power restoration tracking and verification are performed on each actual power restoration user in the actual power restoration user set to obtain power restoration data, that is, different power-on monitoring and verification methods are adopted according to different power outage categories, which saves the main station power restoration verification processing resources and improves the real-time and accuracy of power restoration monitoring.

[0100] In one embodiment, a method for determining a valid power outage alarm event is provided. Figure 1 The edge end in FIG. 1 is taken as an example to illustrate, including the following steps:

[0101] When a power outage is detected for a user, the voltage and current data of the electric energy meter in the substation at adjacent times are collected, and the power outage alarm events collected by the collection equipment are verified to determine the effective power outage alarm events;

[0102] Based on the edge side "transformer-phase line-branch line-user" topology model, the effective power outage alarm events collected at the same time point in the area where the IoT gateway is located are combined to generate an edge power outage event list, and the edge power outage event list is sent to the platform data center.

[0103] Specifically, when a power outage is detected for a user, the edge end obtains the user's electricity meter real-time voltage data, real-time current data, power outage alarm event data, and real-time operation data and location information of the switch collected by the device end, that is, the perception layer device, the metering automation terminal real-time voltage, current AC sampling data, switch data (switch data includes branch switches, phase switches, cable junction box switches, electricity meter box switches real-time operation data and position signal data) and other user electricity usage parameters; the edge intelligent fusion terminal filters the error information in the obtained electricity usage parameters to obtain normal electricity usage parameters; according to the data collected by the edge intelligent fusion terminal (that is, the switch position information of each phase switch, branch switch, and meter box switch under the substation collected at high frequency, and the voltage and current information of the electricity meter under the substation); by collecting the voltage data and current data of the electricity meter under the substation at adjacent times, the power outage alarm event is verified to determine the effective power outage alarm event.

[0104] Through the edge layer IoT gateway, batch communication tests and voltage and current real-time data call and test verification are performed on the devices associated with the identified valid alarm events to verify the accuracy of the power outage alarm events again. That is, combined with the edge side "transformer-phase line-branch line-user" topology model, the power outage events collected at the same time point in the area where the IoT gateway is located are collected and combined to generate an edge power outage event list; the obtained edge power outage event list is sent to the platform layer data center in the cloud, and the edge power outage event list and the distribution network power outage event list are matched through the platform layer data center to determine the actual power outage warning list and power outage type at the current moment; based on the power outage type, each power outage area in the actual power outage warning list is powered on and monitored to obtain power restoration data.

[0105] The above method for determining effective power outage alarm events collects voltage data and current data of electric energy meters in the substation at adjacent times at the edge end, verifies the power outage alarm events collected by the collection equipment, and determines the effective power outage alarm events; based on the edge side "transformer-phase line-branch line-user" topology model, the effective power outage alarm events collected at the same time point in the area where the IoT gateway is located are combined to generate an edge power outage event list, and the edge power outage event list is sent to the platform data center, that is, the data warning input is collected through intelligent measurement at the perception layer, and the edge end performs preliminary verification, and preliminary verification and analysis are performed at the edge, so as to effectively utilize the edge computing effect and disperse the computing pressure of the platform layer data center.

[0106] In another embodiment, Figure 6 As shown in the figure, a method for monitoring power outage and restoration of users in a cloud-edge-end collaborative manner is provided. Figure 1 The following steps are used as an example to illustrate the cloud in the example:

[0107] Step 602: Receive an edge power outage event list sent by the edge end.

[0108] Step 604, based on the "substation-line-branch line-transformer" topology model, according to the acquired external system distribution network line outgoing line switch, branch switch, station-transformer combination circuit breaker switch position information and line fault information, generate a distribution network power outage event list.

[0109] Step 606, matching the marginal power outage event list with the distribution network power outage event list to determine the actual power outage warning list and the power outage type at the current moment.

[0110] Step 608: According to the power restoration instruction, power on each power outage area in the actual power outage warning list to obtain a marginal power restoration event list.

[0111] Step 610, based on the "substation-line-transformer" topology structure, according to the real-time acquired distribution network line switch position information and line fault elimination information of the distribution network automation system, a distribution network restoration event list is generated.

[0112] Step 612: Match the edge power restoration event list with the distribution network power restoration event list to determine the actual power restoration user set.

[0113] Step 614, determining the power-on verification condition for power-on tracking verification.

[0114] Step 616: When the power-on verification conditions are met, a power-on tracking closed-loop verification is performed on each actual power-on user in the actual power-on user set according to the power outage type.

[0115] Step 618, if the verification is successful, the power restoration is normal; if the verification fails, the power restoration is abnormal, and the abnormal power restoration data is obtained.

[0116] The following is an embodiment of the practical application of the user power outage and restoration monitoring method coordinated by the cloud-edge terminal. The perception layer device collects the user's power consumption parameters, which include the user's electric energy meter real-time voltage data, real-time current data, power outage alarm event data and the real-time operation data and location information of the switch, the metering automation terminal real-time voltage, current AC sampling data, switch data (switch data includes branch switches, phase switches, cable junction box switches, electric energy meter box switches real-time operation data and position signal data); filter the error information in the power consumption parameters to obtain normal power consumption parameters; according to the edge The high-frequency data collected by the edge intelligent fusion terminal (the switch position information of each phase switch, branch switch, and meter box switch under the substation area, and the voltage and current information of the electric energy meter under the substation area collected at high frequency) verifies the power outage alarm event by collecting the voltage data and current data of the electric energy meter under the substation area at adjacent times, and determines the effective power outage alarm event; that is, a data verification mechanism is set at the edge end to conduct preliminary verification and analysis of the power outage and alarm information sent from the perception layer, and the abnormal operation information of the equipment, effectively utilizing the edge computing effect, dispersing the computing pressure of the platform layer data center, and improving the processing performance of the platform layer data center. .

[0117] The edge intelligent fusion terminal at the edge layer, based on the edge side "transformer-phase line-branch line-user" topology model, combines the effective power outage alarm events collected at the same time point in the area where the IoT gateway is located, generates an edge power outage event list, and sends the edge power outage event list to the platform data center; receives the actual power outage warning list at the current moment sent by the platform data center; the actual power outage warning list is determined by matching the edge power outage event list with the distribution network power outage event list; the distribution network power outage event list is generated based on the location information of the outgoing line switches, branch switches, and station-transformer combination circuit breakers of the external system distribution network line and line fault information, combined with the platform layer "substation-line-branch line-transformer (station area)" topology model; obtains the distribution network power outage event list determined by the platform data center; the distribution network power outage event list is generated based on the outgoing line switches, branch switches, and station-transformer combination circuit breakers of the external system distribution network line The switch position information and line fault information of switches, branch switches and transformer combination circuit breakers are generated in combination with the "substation-line-branch line-transformer (substation)" topology model at the platform layer; in the platform data center, the edge power outage event list is matched with the distribution network power outage event list to determine the actual power outage warning list and power outage category at the current moment; the actual power outage warning list and power outage category at the current moment are visualized, and a power restoration instruction is generated; according to the power restoration instruction, the power outage areas in the actual power outage warning list at the current moment are restored and the power restoration situation of each power outage area is monitored; that is, at the platform layer, the big data sharing capability is fully utilized to access the distribution network automation data, expand the sampling data for system analysis (the sampling data range includes the data of each node of the power grid topology structure), and the accuracy of the power outage warning range is ensured by setting big data comprehensive comparison, verification rules and processes.

[0118] When power is restored to the power-out users, the sensing layer acquisition equipment obtains the power usage parameters after power is restored, namely, the real-time voltage, current data, and alarm event data of the customer's electricity meter, the real-time voltage and current AC sampling data, and alarm event data of the metering automation terminal, and the real-time operation data and position signal data of the branch switch and cable junction box; the edge intelligent fusion terminal of the edge layer identifies the power usage parameters after power is restored and identifies the valid power-on alarm event data; the identified valid power-on alarm events are called for operation data review and verification, and combined with the "transformer-user" topological relationship, an edge power restoration event list is generated, and the edge power restoration event list is sent to the platform layer data center.

[0119] The platform layer data center obtains the real-time distribution network automation system distribution line switch location information and line fault elimination information through data sharing, and generates a distribution network power restoration event list based on the "substation-line-transformer" topology structure; the platform layer matches the edge power restoration event list with the distribution network power restoration event list by calling the data microservice, and confirms the actual power restoration user list set at the current moment through remote joint adjustment and verification of edge-side equipment, and removes the power-restored users from the tracking process, while the non-power-restored users continue the tracking process, and the power restoration results of users at the current moment are output synchronously; that is, by setting up a real-time tracking and publishing mechanism for user power-on, different power-on monitoring and verification methods are adopted according to different power outage categories, which saves the computing power resources of the main station power restoration verification; further, by verifying the validity of the outage and power-on events, while monitoring the outage and power-on in real time, the set "station-line-transformer-user" topology relationship is also verified, which improves the convenience of user power-on and power-on monitoring. In the above-mentioned cloud-edge-end collaborative user power outage and restoration monitoring method, the power outage alarm events collected by the collection equipment are verified at the edge end according to the voltage data and current data of the electric energy meters in the substation area at adjacent times, and effective power outage alarm events are obtained. Based on the edge side "transformer-phase line-branch line-user" topology model, the effective power outage alarm events collected at the same time point in the area where the IoT gateway is located are combined to obtain an edge power outage event list; based on the "substation-line-branch line-transformer" topology model, according to the obtained external system distribution network line outgoing line switch, branch switch, substation combination circuit breaker switch position information and line fault information, a distribution network power outage event list is generated; the edge power outage event list and the distribution network power outage event list are matched to determine the actual power outage warning list and power outage type at the current moment; based on the power outage type, each power outage area in the actual power outage warning list is powered on and monitored to obtain power restoration data.

[0120] That is, a data verification mechanism is set up on the edge side to perform preliminary verification and analysis on the power outage and alarm information and abnormal equipment operation information sent from the perception layer, effectively utilizing the edge computing effect and dispersing the computing pressure of the platform layer data center; at the platform layer, full use is made of big data sharing capabilities, and the distribution network automation data is connected to obtain the data of each node in the power grid topology structure, ensuring the accuracy of the power outage warning range; a real-time tracking and release mechanism is implemented for customer power-on. Different power-on monitoring and verification methods are used according to different power outage categories, saving the main station power-on verification processing resources.

[0121] It should be understood that although Figure 2-3 The steps in the flowcharts of 5-6 are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 2-3, at least part of the steps in 5-6 may include multiple steps or multiple stages. These steps or stages do not necessarily have to be executed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily one by one, but can be executed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0122] In one embodiment, Figure 7 As shown, a user power outage and restoration monitoring system with cloud-edge-end collaboration is provided, including: a receiving module 702, a power outage event generating module 704, a matching module 706 and a monitoring module 708, wherein:

[0123] The receiving module 702 is used to receive the edge power outage event list sent by the edge end; the edge power outage event list is based on the edge side "transformer-phase line-branch line-user" topology model, and is generated by combining the valid power outage alarm events collected at the same time point in the area where the Internet of Things gateway is located; the valid power outage alarm event is determined by collecting the voltage data and current data of the electric energy meter under the substation at adjacent times, and verifying the power outage alarm event collected by the collection device.

[0124] The power outage event generation module 704 is used to generate a distribution network power outage event list based on the "substation-line-branch line-transformer (substation area)" topology model, according to the acquired external system distribution network line outgoing line switch, branch switch, station-transformer combination circuit breaker switch position information and line fault information.

[0125] The matching module 706 is used to match the marginal power outage event list with the distribution network power outage event list to determine the actual power outage warning list and the power outage type at the current moment.

[0126] The monitoring module 708 is used to power on and monitor each power outage area in the actual power outage warning list based on the power outage type to obtain power restoration data.

[0127] The above-mentioned cloud-edge-end collaborative user power outage and restoration monitoring system verifies the power outage alarm events collected by the collection equipment at the edge end according to the voltage and current data of the electric energy meters in the substation area at adjacent times, obtains effective power outage alarm events, and combines the effective power outage alarm events collected at the same time point in the area where the IoT gateway is located based on the edge side "transformer-phase line-branch line-user" topology model to obtain an edge power outage event list; based on the "substation-line-branch line-transformer" topology model, according to the obtained external system distribution network line outgoing line switch, branch switch, substation combined circuit breaker switch The edge power outage event list is matched with the distribution network power outage event list to determine the actual power outage warning list and the power outage type at the current moment; based on the power outage type, each power outage area in the actual power outage warning list is powered on and monitored to obtain power restoration data; that is, the data processing capability of the edge is utilized to disperse the data processing pressure of the platform data center, and the distribution network automation data is connected. The sampling data that can be used for system analysis is expanded, and the sampling data range covers each node of the power grid topology structure, ensuring the accuracy and real-time nature of the power outage warning range.

[0128] In another embodiment, a user power outage and restoration monitoring system for cloud-edge-end collaboration is provided, which includes, in addition to a receiving module 702, a power outage event generating module 704, a matching module 706, and a monitoring module 708, an acquisition module, a determination module, a display module, a power restoration module, a power-on module, a distribution network power restoration event determination module, a verification module, and an abnormality tracking and processing module, wherein:

[0129] The acquisition module is used to obtain the station area identification of each station outage area.

[0130] In one embodiment, the matching module 706 is also used to match the edge power outage event list and the distribution network power outage event list according to each substation identification to obtain the same power outage event set, the single edge side power outage event set, and the single distribution network power outage event set.

[0131] A determination module, used to determine a valid single edge side power outage event set in a single edge side power outage event set, and a valid single distribution network power outage event set in a single distribution network power outage event set;

[0132] According to the same power outage event set, the effective single edge side power outage event set and the effective single distribution network power outage event set, the actual power outage warning list at the current moment is determined.

[0133] In one embodiment, the acquisition module is also used to obtain the first voltage value and the first current value of each substation edge end corresponding to each single edge side power outage event in the single edge side power outage event set; and the second voltage value and the second current value of each substation edge end corresponding to each single distribution network power outage event in the single distribution network power outage event set.

[0134] In one embodiment, the determination module is also used to determine that the corresponding single-edge power outage event is a valid single-edge power outage event if the first voltage value is not within the preset first voltage threshold range and the first current value is not within the preset first current threshold range, thereby obtaining a set of valid single-edge power outage events.

[0135] In one embodiment, the determination module is also used to determine that the corresponding single distribution network power outage event is a valid single distribution network power outage event if the second voltage value is not within the preset second voltage threshold range and the second current value is not within the preset second current threshold range, and obtain a set of valid single distribution network power outage events.

[0136] The display module is used to visualize the actual power outage warning list and power outage categories and generate power restoration instructions.

[0137] The power restoration module is used to restore power to the power outage areas in the actual power outage warning list based on the power outage type and power restoration instructions.

[0138] In one embodiment, the monitoring module 708 is also used to monitor the power restoration status of each power outage area to obtain power restoration data.

[0139] The power-on module is used to power on each power-off area in the actual power-off warning list according to the power-on instruction, and obtain a marginal power-on event list.

[0140] The distribution network restoration event determination module is used to generate a distribution network restoration event list based on the "substation-line-transformer" topology structure and the distribution network line switch position information and line fault elimination information obtained in real time from the distribution network automation system.

[0141] In one embodiment, the matching module 706 is further configured to match the edge power restoration event list with the distribution network power restoration event list to determine an actual power restoration user set.

[0142] The verification module is used to track and verify the power restoration of each actual power restoration user in the actual power restoration user set based on the power outage type, and obtain power restoration data.

[0143] In one embodiment, the determination module is further used to determine a power-on verification condition for power-on tracking verification.

[0144] In one embodiment, the verification module is also used to perform power restoration tracking closed-loop verification on each actual power restoration user in the actual power restoration user set according to the power outage type when the power-on verification conditions are met; if the verification passes, the power restoration is normal and normal power restoration data is obtained; if the verification fails, the power restoration is abnormal and abnormal power restoration data is obtained.

[0145] The exception tracking and processing module is used to determine a list of abnormal power-on customers from the actual power-on users according to the abnormal power-on data when verification fails; and perform abnormal tracking and processing on the abnormal power-on customers in the abnormal power-on customer list.

[0146] In one embodiment, by receiving an edge power outage event list sent by the edge end; based on the "substation-line-branch line-transformer" topology model, according to the acquired external system distribution network line outlet switch, branch switch, station transformer combination circuit breaker switch position information and line fault information, a distribution network power outage event list is generated, the edge power outage event list and the distribution network power outage event list are matched, and the actual power outage warning list and the power outage type at the current moment are determined, and according to the power restoration instruction, each power outage area in the actual power outage warning list is powered on to obtain an edge power restoration event list; based on the "substation-line-transformer" topology structure, according to the real-time acquired distribution network line switch position information and line fault elimination information of the distribution network automation system, a distribution network power restoration event list is generated; the edge power restoration event list and the distribution network power restoration event list are matched to determine the actual power restoration user set; and the power-on verification condition for power restoration tracking verification is determined.

[0147] When the power-on verification conditions are met, a closed-loop verification of power-on tracking is performed on each actual power-on user in the actual power-on user group according to the power outage type; if the verification passes, the power is restored normally and normal power-on data is obtained; if the verification fails, the power is restored abnormally and abnormal power-on data is obtained; that is, a data verification mechanism is set on the edge side, and the power-off and alarm information sent by the perception layer, and the abnormal operation information of the equipment are preliminarily verified and analyzed at the edge, effectively utilizing the edge computing effect and dispersing the computing pressure of the data center at the platform layer; at the platform layer, full use is made of big data sharing capabilities, and the distribution network automation data is connected to obtain the data of each node in the power grid topology structure, ensuring the accuracy of the power outage warning range; a real-time tracking and release mechanism for customer power-on is used, and different power-on monitoring and verification methods are adopted according to different power outage categories, saving the power-on verification processing resources of the main station.

[0148] For the specific definition of the user power outage and restoration monitoring system, please refer to the definition of the user power outage and restoration monitoring method above, which will not be repeated here. Each module in the above-mentioned user power outage and restoration monitoring system can be implemented in whole or in part through software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0149] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 8As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input system connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a user power outage and restoration monitoring method is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input system of the computer device can be a touch layer covered on the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse, etc.

[0150] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0151] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0152] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0153] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0154] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0155] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A cloud-edge-end collaborative user power outage and restoration monitoring method, characterized in that: The method comprises: Receive an edge power outage event list sent by the edge end; the edge power outage event list is generated by combining valid power outage alarm events collected at the same time point in the area where the IoT gateway is located based on the edge side "transformer-phase line-branch line-user" topology model; the valid power outage alarm event is determined by collecting voltage data and current data of the electric energy meter under the substation at adjacent times, and verifying the power outage alarm event collected by the collection device; Based on the "substation-line-branch line-transformer" topology model, a distribution network outage event list is generated according to the location information of the outgoing line switches, branch switches, and combined circuit breakers of the external system distribution network and line fault information; Matching the marginal power outage event list with the distribution network power outage event list to determine the actual power outage warning list and the power outage type at the current moment; Based on the power outage type, each power outage area in the actual power outage warning list is powered on and monitored to obtain power restoration data; Among them, the actual power outage warning list is obtained by obtaining the station area identification of each power outage station area; matching the edge power outage event list and the distribution network power outage event list according to each station area identification to obtain the same power outage event set, the single edge side power outage event set, and the single distribution network power outage event set; determining the effective single edge side power outage event set in the single edge side power outage event set, and the effective single distribution network power outage event set in the single distribution network power outage event set; determined according to the same power outage event set, the effective single edge side power outage event set, and the effective single distribution network power outage event set; The effective single-edge power outage event set is determined by obtaining the first voltage value and the first current value of each substation edge end corresponding to each single-edge power outage event in the single-edge power outage event set; and the second voltage value and the second current value of each substation edge end corresponding to each single distribution network power outage event in the single distribution network power outage event set; if the first voltage value is not within the preset first voltage threshold range, and the first current value is not within the preset first current threshold range, then the corresponding single-edge power outage event is determined to be a valid single-edge power outage event, and the effective single distribution network power outage event set is determined by determining that the corresponding single distribution network power outage event is a valid single distribution network power outage event if the second voltage value is not within the preset second voltage threshold range, and the second current value is not within the preset second current threshold range.

2. The method according to claim 1, characterized in that Based on the power outage type, each power outage area in the actual power outage warning list is powered on and monitored to obtain power restoration data, including: Visually display the actual power outage warning list and power outage categories, and generate power restoration instructions; Based on the power outage type and the power restoration instruction, the power outage areas in the actual power outage warning list are restored, and the power restoration status of each power outage area is monitored to obtain power restoration data.

3. The method according to claim 2, characterized in that The method of restoring power to the power outage areas in the actual power outage warning list at the current moment based on the power outage type and the power restoration instruction, and monitoring the power restoration status of each power outage area to obtain power restoration data includes: According to the power restoration instruction, power on each power outage area in the actual power outage warning list to obtain a marginal power restoration event list; Based on the "substation-line-transformer" topology, a distribution network restoration event list is generated according to the real-time distribution network line switch location information and line fault elimination information obtained by the distribution network automation system; Matching the edge power restoration event list with the distribution network power restoration event list to determine an actual power restoration user set; Based on the power outage type, power restoration tracking and verification is performed on each actual power restoration user in the actual power restoration user set to obtain power restoration data.

4. The method according to claim 3, characterized in that Based on the power outage type, performing power restoration tracking and verification on each actual power restoration user in the actual power restoration user set to obtain power restoration data includes: Determining a power-on verification condition for the power-on tracking verification; When the power-on verification condition is met, performing a power-on tracking closed-loop verification on each actual power-on user in the actual power-on user set according to the power outage type; If the verification is successful, the power is restored normally and the normal power restoration data is obtained; If the verification fails, the power-on exception occurs and the power-on exception data is obtained.

5. The method according to claim 4, characterized in that The method further comprises: When the verification fails, determining a list of abnormal power restoration customers from the actual power restoration user set according to the abnormal power restoration data; The abnormal power-on restoration customers in the abnormal power-on restoration customers list are subjected to abnormal tracking processing.

6. A cloud-edge-end collaborative user power outage and restoration monitoring system, characterized in that: The system comprises: A receiving module is used to receive an edge power outage event list sent by the edge end; the edge power outage event list is generated by combining valid power outage alarm events collected at the same time point in the area where the IoT gateway is located based on the edge side "transformer-phase line-branch line-user" topology model; the valid power outage alarm event is determined by collecting voltage data and current data of the electric energy meter under the substation at adjacent times, and verifying the power outage alarm event collected by the collection device; The power outage event generation module is used to generate a distribution network power outage event list based on the "substation-line-branch line-transformer" topology model and the acquired external system distribution network line outgoing line switch, branch switch, station-transformer combined circuit breaker switch position information and line fault information; A matching module is used to match the edge power outage event list with the distribution network power outage event list to determine the actual power outage warning list and the power outage type at the current moment; wherein the actual power outage warning list is obtained by obtaining the substation identification of each power outage substation; according to each of the substation identifications, the edge power outage event list and the distribution network power outage event list are matched to obtain the same power outage event set, the single edge side power outage event set, and the single distribution network power outage event set; determine the valid single edge side power outage event set in the single edge side power outage event set, and the valid single distribution network power outage event set in the single distribution network power outage event set; determined according to the same power outage event set, the valid single edge side power outage event set, and the valid single distribution network power outage event set; The effective single-edge power outage event set is determined by obtaining the first voltage value and the first current value of each substation edge end corresponding to each single-edge power outage event in the single-edge power outage event set; and the second voltage value and the second current value of each substation edge end corresponding to each single distribution network power outage event in the single distribution network power outage event set; if the first voltage value is not within the preset first voltage threshold range, and the first current value is not within the preset first current threshold range, then the corresponding single-edge power outage event is determined to be a valid single-edge power outage event, and the effective single distribution network power outage event set is determined by determining that the corresponding single distribution network power outage event is a valid single distribution network power outage event if the second voltage value is not within the preset second voltage threshold range, and the second current value is not within the preset second current threshold range; The monitoring module is used to power on and monitor each power outage area in the actual power outage warning list based on the power outage type to obtain power restoration data.

7. The system according to claim 6, characterized in that The system further comprises a display module, which is further used to visually display the actual power outage warning list and power outage categories, and generate a power restoration instruction; The monitoring module is also used to restore power to the power outage areas in the actual power outage warning list based on the power outage type and the power restoration instruction, and monitor the power restoration status of each power outage area to obtain power restoration data.

8. The system according to claim 7, characterized in that The system further comprises: A power-on module, used to power on each power-off area in the actual power-off warning list according to the power-on instruction, and obtain a marginal power-on event list; The distribution network restoration event determination module is used to generate a distribution network restoration event list based on the "substation-line-transformer" topology structure and the distribution network line switch position information and line fault elimination information obtained in real time from the distribution network automation system; The matching module is also used to match the edge power restoration event list with the distribution network power restoration event list to determine an actual power restoration user set; The verification module is used to perform power restoration tracking verification on each actual power restoration user in the actual power restoration user set based on the power outage type to obtain power restoration data.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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