Message data processing method and device of distribution network automation switch, electronic equipment and storage medium

Abstract

The invention discloses a message data processing method and device for a distribution network automation switch, electronic equipment and a storage medium, and relates to the technical field of power equipment. The method comprises the following steps: responding to a newly generated fault alarm, automatically accessing a distribution network automation master station, and extracting a latest group of automation switch messages from the distribution network automation master station; determining a target automatic switch and a switch action keyword included in the latest group of automatic switch messages, and determining the position of a fault point in the distribution network according to the switch action keyword and the target automatic switch; extracting a historical automation switch message about the target automation switch from the distribution network automation master station; and generating a fault brief report according to the latest group of automatic switch messages and the historical automatic switch messages. According to the scheme, the analysis efficiency of the distribution network automatic switch message can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power equipment, and in particular to a message data processing method, device, electronic equipment and storage medium for a distribution network automation switch. Background Art

[0002] With the rapid development of social economy, the demand for power resources is increasing day by day, and the requirements for the reliability of distribution network power supply are also increasing. In order to improve the operation efficiency of distribution network, automatic switches are installed on the distribution network lines. At present, in order to analyze the faults in the distribution network, professionals are usually required to analyze the messages of the automatic switches. However, the manual analysis method makes the message analysis of the automatic switch inefficient. Summary of the invention

[0003] The invention provides a message data processing method, device, electronic equipment and storage medium for a distribution network automation switch.

[0004] According to one aspect of the present invention, a method for processing message data of a distribution network automation switch is provided, which is applied to an intelligent distribution network message processing system, comprising:

[0005] In response to the latest fault alarm, automatically access the distribution network automation master station and extract the latest set of automation switch messages from the distribution network automation master station;

[0006] Determine the target automation switch and the switch action keyword included in the latest set of automation switch messages, and determine the location of the fault point in the distribution network according to the switch action keyword and the target automation switch;

[0007] Extract historical automation switch messages about target automation switches from the distribution network automation master station;

[0008] Generate a fault briefing based on the latest set of automation switch messages and historical automation switch messages.

[0009] In some embodiments, the switch action keywords include at least one of the following: protection action, zero-sequence overcurrent stage II action, zero-sequence overcurrent stage I action, overcurrent stage I action, overcurrent stage II action, line grounding alarm, line overcurrent alarm, residual pressure locking action, and locking closing action.

[0010] In some embodiments, determining the location of a fault point in a distribution network according to a switch action keyword and a target automation switch includes:

[0011] In response to the switch action keyword corresponding to the target automation switch including a protection action, it is determined that the fault point in the distribution network is at the rear section of the target automation switch.

[0012] In some embodiments, determining the location of a fault point in a distribution network according to a switch action keyword and a target automation switch includes:

[0013] In the case that the number of target automation switches is two, in response to the switch action keyword corresponding to one target automation switch including at least the locking and closing action, and the switch action keyword corresponding to another target automation switch including at least the residual pressure locking action, it is determined that the location of the fault point in the distribution network is between the two target automation switches.

[0014] In some embodiments, determining the location of a fault point in a distribution network according to a switch action keyword and a target automation switch includes:

[0015] When there are two target automation switches, one of the target automation switches is determined to be a station switch, and the other target automation switch is a line head switch;

[0016] In response to the switch action keyword corresponding to the station switch being a protection action, and the switch action keyword corresponding to the first switch of the line including at least a residual pressure locking action, it is determined that the location of the fault point in the distribution network is between the station switch and the first switch of the line.

[0017] In some embodiments, generating a fault brief report based on a latest set of automation switch messages and historical automation switch messages includes:

[0018] According to the latest set of automated switch messages, determine the fault identification information, fault-related line information, and fault impact information; the fault identification information at least includes the fault ticket number and the unit to which it belongs; the fault-related line information at least includes the station line to which it belongs, the relay protection action, and the specific switch; the fault impact information at least includes the current change, whether it is a self-healing line, the total number of distribution transformers affected, the total number of public transformers affected, and the total number of users affected;

[0019] Determine historical fault statistics information based on historical automation switch messages; wherein the historical fault statistics information includes the annual cumulative number of faults;

[0020] Generate a fault report based on fault identification information, fault-related line information, fault impact information, and historical fault statistics.

[0021] In some embodiments, the method further comprises:

[0022] In response to the annual cumulative number of faults being greater than a preset number threshold, a drone patrol plan is pushed to the drone cloud, so that the drone cloud controls the drone to patrol the faulty line according to the drone patrol plan;

[0023] Perform fault optimization analysis based on the equipment images or environment images collected by the drone during the patrol process.

[0024] According to another aspect of the present invention, a message data processing device for a distribution network automation switch is provided, which is configured in an intelligent distribution network message processing system, and includes:

[0025] A first message extraction module is used to automatically access the distribution network automation master station in response to the latest fault alarm, and extract the latest set of automation switch messages from the distribution network automation master station;

[0026] A fault analysis module, used to determine the target automation switch and the switch action keyword included in the latest set of automation switch messages, and determine the location of the fault point in the distribution network according to the switch action keyword and the target automation switch;

[0027] A second message extraction module is used to extract historical automation switch messages about the target automation switch from the distribution network automation master station;

[0028] The briefing report generating module is used to generate a fault briefing report according to a latest set of automation switch messages and historical automation switch messages.

[0029] In some embodiments, the switch action keywords include at least one of the following: protection action, zero-sequence overcurrent stage II action, zero-sequence overcurrent stage I action, overcurrent stage I action, overcurrent stage II action, line grounding alarm, line overcurrent alarm, residual pressure locking action, and locking closing action.

[0030] In some embodiments, the fault analysis module is further configured to:

[0031] In response to the switch action keyword corresponding to the target automation switch including a protection action, it is determined that the fault point in the distribution network is at the rear section of the target automation switch.

[0032] In some embodiments, the fault analysis module is further configured to:

[0033] In the case that the number of target automation switches is two, in response to the switch action keyword corresponding to one target automation switch including at least the locking and closing action, and the switch action keyword corresponding to another target automation switch including at least the residual pressure locking action, it is determined that the location of the fault point in the distribution network is between the two target automation switches.

[0034] In some embodiments, the fault analysis module is further configured to:

[0035] When there are two target automation switches, one of the target automation switches is determined to be a station switch, and the other target automation switch is a line head switch;

[0036] In response to the switch action keyword corresponding to the station switch being a protection action, and the switch action keyword corresponding to the first switch of the line including at least a residual pressure locking action, it is determined that the location of the fault point in the distribution network is between the station switch and the first switch of the line.

[0037] In some embodiments, the presentation generation module is further configured to:

[0038] According to the latest set of automated switch messages, determine the fault identification information, fault-related line information, and fault impact information; the fault identification information at least includes the fault ticket number and the unit to which it belongs; the fault-related line information at least includes the station line to which it belongs, the relay protection action, and the specific switch; the fault impact information at least includes the current change, whether it is a self-healing line, the total number of distribution transformers affected, the total number of public transformers affected, and the total number of users affected;

[0039] Determine historical fault statistics information based on historical automation switch messages; wherein the historical fault statistics information includes the annual cumulative number of faults;

[0040] Generate a fault report based on fault identification information, fault-related line information, fault impact information, and historical fault statistics.

[0041] In some embodiments, it also includes:

[0042] A patrol indication module is used to push a drone patrol plan to the drone cloud in response to the annual cumulative number of faults being greater than a preset number threshold, so that the drone cloud controls the drone to patrol the faulty line according to the drone patrol plan;

[0043] The inspection result analysis module is used to perform fault optimization analysis based on the equipment images or environment images collected by the UAV during the inspection process.

[0044] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0045] at least one processor; and

[0046] a memory communicatively connected to at least one processor; wherein,

[0047] The memory stores a computer program that can be executed by at least one processor. The computer program is executed by at least one processor so that the at least one processor can execute the message data processing method of the distribution network automation switch according to an embodiment of the present invention.

[0048] According to another aspect of the present invention, a computer-readable storage medium is provided, which stores computer instructions, and the computer instructions are used to enable a processor to implement the message data processing method of the distribution network automation switch according to an embodiment of the present invention when executed.

[0049] The technical solution of the embodiment of the present invention automatically obtains the message of the distribution network automation switch and performs fault point location analysis, and generates a fault briefing at the same time, thereby improving the efficiency of the automation switch message analysis.

[0050] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0052] Figure 1 It is a flow chart of a message data processing method of a distribution network automation switch provided according to an embodiment of the present invention;

[0053] Figure 2 It is a flow chart of another method for processing message data of a distribution network automation switch provided according to an embodiment of the present invention;

[0054] Figure 3 It is a structural schematic diagram of a message data processing device of a distribution network automation switch provided in an embodiment of the present invention;

[0055] Figure 4 It is a structural schematic diagram of an electronic device for implementing the message data processing method of a distribution network automation switch according to an embodiment of the present invention. DETAILED DESCRIPTION

[0056] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0057] Embodiment 1

[0058] Figure 1A flowchart of a message data processing method for a distribution network automation switch is provided for an embodiment of the present invention. This embodiment can be applied to scenarios of automatically acquiring and analyzing messages of a distribution network automation switch. The method can be executed by a message data processing device for the distribution network automation switch. The message data processing device for the distribution network automation switch can be implemented in the form of hardware and / or software. The message data processing device for the distribution network automation switch can be configured in an electronic device.

[0059] like Figure 1 As shown, the message data processing method of the distribution network automation switch includes:

[0060] S101. In response to a newly generated fault alarm, automatically access a distribution network automation master station, and extract a latest set of automation switch messages from the distribution network automation master station.

[0061] In the embodiment of the present invention, the distribution network automation master station refers to a system that can collect a large amount of data information from various links of the distribution network in real time. These data include but are not limited to electrical parameters such as voltage, current, power, etc. on the distribution network line, as well as the operating status and action information of various automation equipment (such as automatic switches, smart meters, etc.). The distribution network automation master station can comprehensively and timely grasp the overall operating status of the distribution network through centralized monitoring of these massive data. The automation switch message refers to the status data uploaded by the automation switch in the distribution network to the distribution network automation master station. These messages can show the status changes of the automation switch.

[0062] In the embodiment of the present invention, the intelligent distribution network message processing system automatically accesses the distribution network automation master station according to the predetermined network address of the distribution network automation master station in response to the latest fault alarm, and extracts the latest set of automation switch messages from the distribution network automation master station. Exemplarily, the distribution network automation master station will centrally save the messages reported by all automation switches and expose them to the outside through the historical alarm option. Therefore, after entering the distribution network automation master station, the latest set of automation switch messages can be obtained by accessing the historical alarm option.

[0063] For example, an automated switch message obtained may be: 02:54:23 Baihou Station 10kV Houbei Line 544 protection action. Among them, "02:54:23" is the time parameter, "Baihou Station" is the substation where the equipment is located, "10kV Houbei Line" is the line where the equipment is located, "544" is the switch number, "protection" is the name of the main operation implemented by the automated switch, and "action" is the execution status.

[0064] S102: Determine a target automation switch and a switch action keyword included in a latest set of automation switch messages, and determine the location of a fault point in the distribution network according to the switch action keyword and the target automation switch.

[0065] In an embodiment of the present invention, the target automation switch and switch action keywords included in the latest set of automation switch messages can be determined by natural language processing technology, or by other technologies, which are not specifically limited here. Among them, the identified target automation switch can be in text form, digital label, or other form. The identified switch action keywords include at least one of the following: protection action, zero-sequence overcurrent II stage action, zero-sequence overcurrent I stage action, overcurrent I stage action, overcurrent II stage action, line grounding alarm, line overcurrent alarm, residual pressure locking action, and locking closing action.

[0066] For ease of understanding, the keywords of each switch action are explained. Among them, the protection action refers to the protection device in the distribution network system detecting abnormal conditions of the protected equipment or line (such as overcurrent, overvoltage, grounding and other faults), and triggering the corresponding protection action after reaching the preset protection start conditions, such as tripping the automatic switch to disconnect the circuit to protect the equipment and lines from further damage. Zero-sequence overcurrent stage I action and stage II action: are different protection stages set for zero-sequence overcurrent conditions. Generally speaking, the setting value of zero-sequence overcurrent stage I action is relatively high, and the action speed is fast. It is mainly used to quickly cut off serious grounding faults close to the power supply end to minimize the impact of the fault on the system; the setting value of zero-sequence overcurrent stage II action is relatively low, and the action speed is slightly slower, which is used to cut off grounding faults slightly farther away from the power supply end. Overcurrent stage I action and stage II action: are also different protection stages set for overcurrent conditions. Overcurrent stage I action usually has a higher setting value and a faster action speed, which is used to quickly cut off serious overcurrent faults close to the power supply end, such as short circuit faults; the setting value of overcurrent stage II action is relatively low, and the action speed is slightly slower. It can be used as a backup protection for overcurrent stage I, and is used to cut off overcurrent faults slightly farther away from the power supply end or to play a role when overcurrent stage I fails to successfully cut off the fault. The line grounding alarm indicates that a grounding phenomenon is detected in the distribution network line, that is, an abnormal electrical connection occurs between one or more phases of the line and the earth. When the monitoring system detects that the line grounding condition reaches a certain set condition, a line grounding alarm message will be issued. The line overcurrent alarm refers to the alarm issued when the current value in the line exceeds the overcurrent alarm threshold set during normal operation, but has not yet reached the condition for triggering the protection action. In the distribution network system, when a line fault occurs, the voltage near the fault point will change, and residual voltage (i.e., the voltage remaining after the fault) may appear. Therefore, the residual voltage locking action refers to the measure that some automatic switches will take to lock related operations after detecting a specific residual voltage condition. The locking closing action means that the automatic switch is restricted or prohibited from closing under certain specific circumstances.

[0067] In some embodiments, the intelligent distribution network message processing system is a system built based on artificial intelligence technology, which can be trained in advance through training data to learn to determine the location of the fault point according to the automatic switch message. On this basis, the intelligent distribution network message processing system determines the location of the fault point in the distribution network according to the switch action keyword and the target automatic switch, including: in response to the switch action keyword corresponding to the target automatic switch including the protection action, it is determined that the fault point in the distribution network is in the rear section of the target automatic switch. Exemplarily, the latest set of automatic switch messages is as follows: 02:54:23 Baihou Station 10kV Houbei Line 544 protection action; 02:54:23 Baihou Station 10kV Houbei Line 544 zero-sequence overcurrent II section action. For example, the target automatic switch identified can be a switch with a serial number of 544; the switch action keywords include: protection action and zero-sequence overcurrent II section action. Thus, it is determined that the fault point in the distribution network is in the rear section of the switch with a serial number of 544. For another example, the latest set of automated switch messages obtained are: 16:31:36 Zhangan Line 768#N11 Tower 11T1 switch protection action; and there are no other message words, so it is determined that the fault point is at the rear section of the 11T1 switch.

[0068] In some embodiments, determining the location of a fault point in a distribution network according to a switch action keyword and a target automation switch further includes:

[0069] In the case that the number of target automation switches is two, in response to the switch action keyword corresponding to one target automation switch including at least the locking and closing action, and the switch action keyword corresponding to another target automation switch including at least the residual pressure locking action, it is determined that the location of the fault point in the distribution network is between the two target automation switches.

[0070] For example, the latest set of automatic switch messages are as follows: 03:38:59 10kV Zili line 755#N18 tower 18T1 switch line grounding alarm; 03:39:00 10kV Zili line 755#N18 tower 18T1 switch lock closing action; 03:39:04 10kV Zili line 755#N38 tower 38T1 switch residual voltage lock action. It is determined that the fault point is between the 18T1 switch and the 38T1 switch.

[0071] In some embodiments, determining the location of a fault point in a distribution network according to a switch action keyword and a target automation switch further includes:

[0072] In the case where there are two target automation switches, it is determined that one of the target automation switches is a station switch, and the other target automation switch is a line head switch; in response to the switch action keyword corresponding to the station switch being a protection action, and the switch action keyword corresponding to the line head switch at least includes a residual voltage blocking action, it is determined that the location of the fault point in the distribution network is between the station switch and the line head switch. It should be noted that if the message including the target automation switch does not carry the tower name, it is determined that the target automation switch is a station switch.

[0073] S103: extracting historical automation switch messages about the target automation switch from the distribution network automation master station.

[0074] S104: Generate a fault briefing based on a latest set of automation switch messages and historical automation switch messages.

[0075] In an optional implementation, fault identification information, fault-related line information, and fault impact information are determined based on the latest set of automated switch messages; wherein the fault identification information includes at least the fault ticket number (which can be automatically generated) and the unit to which it belongs (which can be directly read from the automated switch); the fault-related line information includes at least the station line to which it belongs, the relay action, and the specific switch, and such information can be directly obtained from the automated switch message; the fault impact information includes at least current changes, whether the line is self-healing, the total number of distribution transformers affected, the total number of public transformers affected, and the total number of users affected; wherein the current change can be determined based on the load loss of the line read from the metering system; whether the line is self-healing can be determined based on the self-healing line identification information included in the message; the total number of distribution transformers affected is obtained by counting and summarizing the names of the substations and the nature of the substations affected behind the specific switches due to the fault; similarly, the number of public transformers and the number of users affected by the fault can be counted. Further, historical fault statistics are determined based on historical automated switch messages; wherein the historical fault statistics include the annual cumulative number of faults; and a fault briefing is generated based on fault identification information, fault-related line information, fault impact information, and historical fault statistics information.

[0076] In the embodiment of the present invention, the message of the distribution network automation switch is automatically obtained and the fault point location analysis is performed, and a fault brief report is generated at the same time, thereby improving the efficiency of the automation switch message analysis.

[0077] Embodiment 2

[0078] Figure 2 The present invention provides a flow chart of a method for processing message data of a distribution network automation switch. Figure 2 , the method comprises the following steps:

[0079] S201. In response to the latest fault alarm, automatically access the distribution network automation master station, and extract the latest set of automation switch messages from the distribution network automation master station.

[0080] S202: Determine a target automation switch and a switch action keyword included in a latest set of automation switch messages, and determine the location of a fault point in the distribution network according to the switch action keyword and the target automation switch.

[0081] S203: extract historical automation switch messages about the target automation switch from the distribution network automation master station.

[0082] S204: Generate a fault briefing based on a latest set of automation switch messages and historical automation switch messages.

[0083] In the embodiment of the present invention, the specific implementation process of steps S201-S204 can refer to the description of the above embodiment, which will not be repeated here.

[0084] In the embodiment of the present invention, after obtaining the fault briefing (at least including the annual cumulative fault number), further analysis can be performed according to steps S205-S206 based on the annual cumulative fault number in the fault briefing.

[0085] S205. In response to the annual cumulative number of faults being greater than a preset number threshold, a drone patrol plan is pushed to the drone cloud, so that the drone cloud controls the drone to patrol the faulty line according to the drone patrol plan.

[0086] S206: Perform fault optimization analysis based on the equipment images or environment images collected by the drone during the patrol process.

[0087] For example, when it is determined that the annual cumulative number of faults is greater than or equal to 3 (i.e., the preset number threshold), the intelligent distribution network message processing system will push the formulated drone patrol plan to the drone cloud, so that the drone cloud will control the drone to patrol the lines with an annual cumulative number of faults greater than or equal to 3 times according to the drone patrol plan. Then, the intelligent distribution network message processing system will perform fault optimization analysis on the equipment photos and surrounding environment collected by the drone. The specific fault optimization analysis includes: 1. If it is found through the drone patrol photos (i.e., the equipment images or environmental images collected by the drone) that the line to be patrolled is a line with a large span such as across rivers and mountain gullies, it is determined whether the line is a bare conductor. If so, the intelligent distribution network message processing system will extract the coordinates in the tower photos corresponding to the span of the patrol line for 3D modeling to restore the line length and line model showing the span, and then push it to the material procurement system for procurement of insulated wires of corresponding models and lengths. 2. If old equipment lines are found through machine patrol photos, the intelligent distribution network message processing system will extract the name and number of the corresponding equipment, and read the model and operating years of the equipment from the equipment ledger; if the operating years are greater than three years, it will be pushed to the material procurement system to prompt the purchase of the corresponding model of equipment. 3. The number of inspections of the corresponding fault line by human patrols in one year, the number of defects found, etc. are exported from the asset management system, and the defects found by human patrols are compared with those found by machine patrols. If the difference is greater than 10, it is judged that the inspection is not in place. If the defect is less than 10, defect tracking is carried out to confirm whether the defect is being followed up. If it is not followed up, it is judged that the defect is not handled in place.

[0088] Based on the message analysis, this embodiment can perform fault optimization analysis according to the images collected by the drone when patrolling the faulty line, which plays an extremely important role in ensuring the stable operation of the distribution network line, reducing costs, and improving service quality.

[0089] Embodiment 3

[0090] Figure 3 The present invention provides a schematic diagram of a message data processing device for a distribution network automation switch. This embodiment is applicable to the scenario of analyzing messages of distribution network automation switches. Figure 3 As shown, the device comprises:

[0091] The first message extraction module 301 is used to automatically access the distribution network automation master station in response to the latest fault alarm, and extract the latest set of automation switch messages from the distribution network automation master station;

[0092] The fault analysis module 302 is used to determine the target automation switch and the switch action keyword included in the latest set of automation switch messages, and determine the location of the fault point in the distribution network according to the switch action keyword and the target automation switch;

[0093] The second message extraction module 303 is used to extract the historical automation switch message about the target automation switch from the distribution network automation master station;

[0094] The briefing report generating module 304 is used to generate a fault briefing report according to the latest set of automation switch messages and historical automation switch messages.

[0095] In some embodiments, the switch action keywords include at least one of the following: protection action, zero-sequence overcurrent stage II action, zero-sequence overcurrent stage I action, overcurrent stage I action, overcurrent stage II action, line grounding alarm, line overcurrent alarm, residual pressure locking action, and locking closing action.

[0096] In some embodiments, the fault analysis module 302 is further configured to:

[0097] In response to the switch action keyword corresponding to the target automation switch including a protection action, it is determined that the fault point in the distribution network is at the rear section of the target automation switch.

[0098] In some embodiments, the fault analysis module 302 is further configured to:

[0099] In the case that the number of target automation switches is two, in response to the switch action keyword corresponding to one target automation switch including at least the locking and closing action, and the switch action keyword corresponding to another target automation switch including at least the residual pressure locking action, it is determined that the location of the fault point in the distribution network is between the two target automation switches.

[0100] In some embodiments, the fault analysis module 302 is further configured to:

[0101] When there are two target automation switches, one of the target automation switches is determined to be a station switch, and the other target automation switch is a line head switch;

[0102] In response to the switch action keyword corresponding to the station switch being a protection action, and the switch action keyword corresponding to the first switch of the line including at least a residual pressure locking action, it is determined that the location of the fault point in the distribution network is between the station switch and the first switch of the line.

[0103] In some embodiments, the presentation generation module 304 is further configured to:

[0104] According to the latest set of automated switch messages, determine the fault identification information, fault-related line information, and fault impact information; the fault identification information at least includes the fault ticket number and the unit to which it belongs; the fault-related line information at least includes the station line to which it belongs, the relay protection action, and the specific switch; the fault impact information at least includes the current change, whether it is a self-healing line, the total number of distribution transformers affected, the total number of public transformers affected, and the total number of users affected;

[0105] Determine historical fault statistics information based on historical automation switch messages; wherein the historical fault statistics information includes the annual cumulative number of faults;

[0106] Generate a fault report based on fault identification information, fault-related line information, fault impact information, and historical fault statistics.

[0107] In some embodiments, it also includes:

[0108] A patrol indication module is used to push a drone patrol plan to the drone cloud in response to the annual cumulative number of faults being greater than a preset number threshold, so that the drone cloud controls the drone to patrol the faulty line according to the drone patrol plan;

[0109] The inspection result analysis module is used to perform fault optimization analysis based on the equipment images or environment images collected by the UAV during the inspection process.

[0110] The message data processing device for the distribution network automation switch provided in the embodiment of the present invention can execute the message data processing method for the distribution network automation switch provided in any embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method.

[0111] Embodiment 4

[0112] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to be a controller device in a new energy vehicle. The components shown herein, their connections and relationships, and their functions are only examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0113] like Figure 4 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0114] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0115] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as executing a message data processing method for a distribution network automation switch.

[0116] In some embodiments, the message data processing method of the distribution network automation switch can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the message data processing method of the distribution network automation switch described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to execute the message data processing method of the distribution network automation switch in any other appropriate manner (for example, by means of firmware).

[0117] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0118] The computer program for implementing the method of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer or other message data processing device of a programmable distribution network automation switch, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0119] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0120] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0121] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0122] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0123] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0124] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for processing message data of a distribution network automation switch, characterized in that: Applied to the intelligent distribution network message processing system, the method includes: In response to the latest fault alarm, automatically access the distribution network automation master station and extract the latest set of automation switch messages from the distribution network automation master station; Determine the target automation switch and the switch action keyword included in the latest set of automation switch messages, and determine the location of the fault point in the distribution network according to the switch action keyword and the target automation switch; Extracting historical automation switch messages about the target automation switch from the distribution network automation master station; A fault briefing is generated according to the latest set of automation switch messages and the historical automation switch messages.

2. The method according to claim 1, characterized in that The switch action keywords include at least one of the following: protection action, zero-sequence overcurrent stage II action, zero-sequence overcurrent stage I action, overcurrent stage I action, overcurrent stage II action, line grounding alarm, line overcurrent alarm, residual pressure locking action, and locking closing action.

3. The method according to claim 2, characterized in that The determining the location of the fault point in the distribution network according to the switch action keyword and the target automation switch includes: In response to the switch action keyword corresponding to the target automation switch including a protection action, it is determined that the fault point in the distribution network is at the rear section of the target automation switch.

4. The method according to claim 2, characterized in that: The determining the location of the fault point in the distribution network according to the switch action keyword and the target automation switch includes: In the case that the number of the target automation switches is two, in response to the switch action keywords corresponding to one of the target automation switches including at least a locking and closing action, and the switch action keywords corresponding to another target automation switch including at least a residual pressure locking action, it is determined that the location of the fault point in the distribution network is between the two target automation switches.

5. The method according to claim 2, characterized in that: The determining the location of the fault point in the distribution network according to the switch action keyword and the target automation switch includes: When the number of the target automation switches is two, determining that one of the target automation switches is a station switch and the other target automation switch is a line head switch; In response to the switch action keyword corresponding to the station switch being a protection action, and the switch action keyword corresponding to the line head switch at least including a residual pressure locking action, it is determined that the location of the fault point in the distribution network is between the station switch and the line head switch.

6. The method according to claim 1, characterized in that The generating a fault brief report according to the latest set of automation switch messages and the historical automation switch messages includes: According to the latest set of automated switch messages, fault identification information, fault-related line information, and fault impact information are determined; wherein the fault identification information at least includes the fault ticket number and the affiliated unit; the fault-related line information at least includes the affiliated station line, relay protection action, and specific switch; the fault impact information at least includes current change, whether it is a self-healing line, the total number of distribution transformers affected, the total number of public transformers affected, and the total number of users affected; Determine historical fault statistics information according to the historical automation switch message; wherein the historical fault statistics information includes the annual cumulative number of faults; The fault briefing is generated according to the fault identification information, fault-related line information, fault impact information, and historical fault statistics information.

7. The method according to claim 6, characterized in that Also includes: In response to the annual cumulative number of faults being greater than a preset number threshold, a drone patrol plan is pushed to the drone cloud, so that the drone cloud controls the drone to patrol the faulty line according to the drone patrol plan; Fault optimization analysis is performed based on the equipment images or environment images collected by the drone during the patrol process.

8. A message data processing device for a distribution network automation switch, characterized in that: Configured in an intelligent distribution network message processing system, the device includes: A first message extraction module, configured to automatically access a distribution network automation master station in response to a newly generated fault alarm, and extract a latest set of automation switch messages from the distribution network automation master station; a fault analysis module, configured to determine a target automation switch and a switch action keyword included in the latest set of automation switch messages, and determine a location of a fault point in the distribution network according to the switch action keyword and the target automation switch; A second message extraction module, used to extract historical automation switch messages about the target automation switch from the distribution network automation master station; The briefing report generating module is used to generate a fault briefing report according to the latest set of automation switch messages and the historical automation switch messages.

9. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method according to any one of claims 1 to 7 when executed.

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