Mountain fire monitoring device and method, storage medium and equipment

Abstract

The embodiment of the invention discloses a forest fire monitoring device and method, a storage medium and equipment, and the device is applied to a 35kV or 110kV power transmission line, and comprises an electric field sensor which is used for monitoring the intensity of an electric field around the power transmission line; the smoke particle sensor is used for monitoring smoke particles in the air; the current sensor is used for monitoring line current flowing through the power transmission line; the positioning module is used for collecting time nodes and position parameters corresponding to the electric field intensity, the smoke particles and the line current; and the server is connected with the electric field sensor, the smoke particle sensor, the current sensor and the positioning module, and is used for matching the electric field intensity, the smoke particles and the line current with the fault feature library, and judging the risk of the line fault at the current time node and the position parameter. The monitoring data is matched with the fault feature library through the server, the risk of line fault occurrence under the current time node and position parameters is judged, and the accuracy and efficiency of fault diagnosis are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power transmission line monitoring, and in particular to a wildfire monitoring device, method, storage medium and equipment. Background Art

[0002] Smart line sensors and devices are increasingly being used in distribution and transmission systems to enhance system monitoring and situational awareness. These devices, with their different capabilities, combined with operational technology in the control room, offer unprecedented opportunities for grid modernization and distributed energy management. Sensors with floating voltage reference points offer a cost-effective way to capture field measurements such as electric fields, line currents, and conductor temperatures.

[0003] Both transmission and distribution lines face a growing threat of wildfires, including those caused by faulty, damaged or poorly maintained power grids. When a line is disconnected or a single-phase or two-phase ground fault occurs, arcing of the transmission line near dry vegetation can easily cause wildfires; on the other hand, smoke from wildfires will seriously threaten the insulation capacity of the line, causing the insulation level of the line to decrease, triggering ground discharge, further leading to the spread of wildfires and worsening the accident. In order to reduce the frequency and duration of power outages and improve reliability, it is necessary to conduct wildfire monitoring, fault monitoring and location on the line to reduce power outage time and improve power supply quality. Summary of the invention

[0004] Based on this, it is necessary to propose a wildfire monitoring device, method, storage medium and equipment to address the above problems.

[0005] A wildfire monitoring device, which is applied to a 35kV or 110kV transmission line, comprises: an electric field sensor, a smoke particle sensor, a current sensor, a positioning module, and a server.

[0006] The electric field sensor is used to monitor the electric field strength around the transmission line.

[0007] The smoke particle sensor is used to monitor smoke particles in the air.

[0008] The current sensor is used to monitor the line current flowing through the transmission line.

[0009] The positioning module is used to collect time nodes and position parameters corresponding to the electric field strength, smoke particles and line current.

[0010] The server is connected to the electric field sensor, smoke particle sensor, current sensor and positioning module respectively, and is used to match the electric field strength, smoke particles and line current with the fault feature library to determine the risk of line fault at the current time node and location parameters.

[0011] The device further specifically includes: a wireless communication module and at least one energy harvesting device,

[0012] The wireless communication module is connected to the server and is used to upload the monitored electric field strength, smoke particles and line current to the server.

[0013] The at least one energy harvesting device is connected to the server and is used to generate a DC output based on the magnetic field around the transmission line. Each of the DC outputs is added in parallel to obtain a single DC power, and the electric field sensor, smoke particle sensor, current sensor, server, positioning module and wireless communication module are powered by the DC power.

[0014] Wherein, the energy harvesting device specifically comprises:

[0015] An AC output circuit is used to convert the magnetic field around the transmission line into AC power.

[0016] A rectifier is used to convert the magnetic field around the transmission line into direct current.

[0017] A lithium battery is used to power the electric field sensor, the smoke particle sensor, the current sensor, the server, the positioning module and the wireless communication module through the direct current.

[0018] The AC output circuit specifically includes: an overvoltage protection circuit and an overcurrent protection circuit.

[0019] The overvoltage protection circuit is used to monitor the line voltage of the power transmission line, and if it is determined that the line voltage increases abnormally, cut off the voltage.

[0020] The overcurrent protection circuit is used to monitor the line current of the transmission line, and if it is determined that the line current increases abnormally, cut off the line current.

[0021] Wherein, the at least one energy harvesting device is arranged outside the line sensor, and each of the energy harvesting devices is connected to a power transmission line of a different phase.

[0022] Wherein, the energy harvesting devices are all arranged on single-phase transmission lines.

[0023] The server specifically includes: a processor and a memory,

[0024] The memory is used to store the electric field strength, smoke particles and line current.

[0025] The processor is used to receive the electric field strength, smoke particles and line current, generate a fault label, and match the fault label with a fault feature library to determine the risk of line fault occurring at the current time node and location parameters.

[0026] A wildfire monitoring method, the method comprising:

[0027] Monitor the electric field strength around transmission lines.

[0028] Monitor smoke particles in the air.

[0029] Monitors the line current flowing through the transmission line.

[0030] The time nodes and position parameters corresponding to the electric field strength, smoke particles and line current are collected.

[0031] The electric field strength, smoke particles and line current are matched with a fault feature library to determine the risk of line faults occurring at the current time node and location parameters.

[0032] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor executes the steps of the method described above.

[0033] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the above method.

[0034] The embodiments of the present invention have the following beneficial effects:

[0035] From the above description, it can be seen that the present invention monitors the status of the transmission line in real time by providing electric field sensors, smoke particle sensors, and current sensors that continuously monitor the status of the transmission line, thereby improving the safety of the transmission line and avoiding instantaneous power outages. At the same time, the positioning module can accurately record the time nodes and location information of monitoring data such as electric field strength, smoke particles, and line current, and match the monitoring data with the fault feature library through the server. It can intelligently judge the risk of line failure under the current time node and location parameters, improve the accuracy and efficiency of fault diagnosis, provide targeted fault handling suggestions for operation and maintenance personnel, and provide alarms and reports that improve safety and response time to prevent line failures caused by wildfires, and propose line measures in time. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 paying creative work.

[0037] in:

[0038] Figure 1 A schematic structural diagram of an embodiment of a wildfire monitoring device provided by the present invention;

[0039] Figure 2 A schematic structural diagram of another embodiment of a wildfire monitoring device provided by the present invention;

[0040] Figure 3 A schematic diagram of a flow chart of an embodiment of a wildfire monitoring method provided by the present invention;

[0041] Figure 4 A schematic diagram of the structure of an embodiment of a storage medium provided by the present invention;

[0042] Figure 5 A schematic structural diagram of an embodiment of the device provided by the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 are within the scope of protection of the present invention.

[0044] like Figure 1 As shown, Figure 1 A schematic diagram of a structure of an embodiment of a wildfire monitoring device provided by the present invention. A wildfire monitoring device 10 is applied to a 35kV or 110kV transmission line, comprising: an electric field sensor 11, a smoke particle sensor 12, a current sensor 13, a positioning module 14, and a server 15.

[0045] Electric field sensors are used to monitor the electric field strength around transmission lines.

[0046] For example, the electric field strength around the transmission line is measured by an electric field sensor, which is most sensitive to the electric field strength directly below the line. It should be noted that the electric field sensor is made of currently advanced MEMS devices, which have the advantages of small size, easy integration, high electric field measurement accuracy and low power consumption, and the measurement accuracy can reach up to 0.

[0047] 05kV / cm.

[0048] Smoke particle sensor, used to monitor smoke particles in the air.

[0049] For example, the smoke particle sensor is used to monitor the smoke particles in the air and determine whether the smoke particles in the air exceed the standard, with a focus on monitoring the sulfide particles generated by the combustion of the medium. It should be noted that the smoke particle sensor is a Sharp GP2Y sensor, which has a response time of 1ms and can quickly detect smoke particles in the air.

[0050] Current sensors are used to monitor the line current flowing through the transmission line.

[0051] For example, the current sensor measures the current flowing through the transmission line to determine whether the current carrying capacity of the transmission line is within the allowable range. The measurement data of the current sensor can be paired with the measurement data of the electric field sensor to analyze the power factor of the load on the line, and this data can be uploaded to the server as data for judging the line load characteristics. It should be noted that the current sensor uses the LEM IT series inductive current sensor, which is a non-contact measurement with high accuracy and low drift.

[0052] Among them, the electric field sensor and current sensor can collect about 7,800 samples per second. The line current monitored by the current sensor can be paired with the electric field strength around the transmission line monitored by the electric field sensor, and the power factor of the load on the transmission line can be analyzed. The data can be uploaded to the server as the analysis data of the line load characteristics.

[0053] The positioning module is used to collect time nodes and position parameters corresponding to the electric field strength, smoke particles and line current.

[0054] For example, the timing accuracy of the positioning module is accurate to milliseconds, and when the wildfire monitoring device monitors and collects sensor data, it provides accurate time nodes and location parameters for the data. The positioning module collects the time nodes and location parameters corresponding to the electric field strength, smoke particles and line current, associates the time nodes and location parameters with the detection data of the electric field strength, smoke particles and line current, and uploads the data to the server for comprehensive analysis.

[0055] The server is respectively connected to the electric field sensor, smoke particle sensor, current sensor and positioning module, and is used to match the electric field strength, smoke particles and line current with the fault feature library to determine the risk of line fault at the current time node and location parameters.

[0056] Exemplarily, the server is composed of multiple computing platforms. Under the condition of meeting the performance requirements, the performance, quantity and networking mode of the computing platforms are not limited. The server includes a processor and a memory, and also contains an external data communication network and external input and output devices.

[0057] The server receives monitoring data from the electric field sensor 11, the smoke particle sensor 12, and the current sensor 13 through the wireless communication interface, including the electric field strength, smoke particles, and line current, matches the electric field strength, smoke particles, and line current with the fault feature library, and determines the risk of line fault at the current time node and location parameters.

[0058] It should be noted that the data transmitted by the monitoring device to the server may be original data or data after local pre-processing and analysis.

[0059] From the above description, it can be seen that the present invention monitors the status of the transmission line in real time by providing electric field sensors, smoke particle sensors, and current sensors that continuously monitor the status of the transmission line, thereby improving the safety of the transmission line and avoiding instantaneous power outages. At the same time, the positioning module can accurately record the time nodes and location information of monitoring data such as electric field strength, smoke particles, and line current, and match the monitoring data with the fault feature library through the server. It can intelligently judge the risk of line failure under the current time node and location parameters, improve the accuracy and efficiency of fault diagnosis, provide targeted fault handling suggestions for operation and maintenance personnel, and provide alarms and reports that improve safety and response time to prevent line failures caused by wildfires, and propose line measures in time.

[0060] like Figure 2 As shown, Figure 2 A schematic diagram of another embodiment of a wildfire monitoring device provided by the present invention. A wildfire monitoring device 10 further specifically comprises: a wireless communication module 16 and at least one energy harvesting device 17,

[0061] The wireless communication module is connected to the server and is used to upload the monitored electric field strength, smoke particles and line current to the server.

[0062] Exemplarily, the wildfire monitoring device internally includes a wireless communication module, which is connected to a server and is used to communicate with a server remote from the device, so that the monitored data can be uploaded to the server for further evaluation, processing and storage.

[0063] At least one energy harvesting device is connected to the server and is used to generate a DC output based on the magnetic field around the transmission line. Each DC output is added in parallel to obtain a single DC power, which is used to power the electric field sensor, the smoke particle sensor, the current sensor, the server, the positioning module and the wireless communication module.

[0064] Exemplarily, a DC output is generated according to the magnetic field around the transmission line, each DC output is added in parallel to obtain a single DC power, and the DC power is used to power the electric field sensor, the smoke particle sensor, the current sensor, the server, the positioning module, and the wireless communication module. On the one hand, at least one energy harvesting device can be arranged outside the line sensor, and each energy harvesting device is connected to the transmission line of different phases. On the other hand, at least one energy harvesting device is arranged on a single-phase transmission line.

[0065] Each energy harvesting device includes: an AC output circuit, a rectifier, and a lithium battery.

[0066] The AC output circuit is used to convert the magnetic field around the transmission line into AC power. Specifically, the AC output circuit includes: an overvoltage protection circuit and an overcurrent protection circuit. The overvoltage protection circuit is used to monitor the line voltage of the transmission line. If the line voltage is abnormally increased, the voltage is cut off. The overcurrent protection circuit is used to monitor the line current of the transmission line. If the line current is abnormally increased, the line current is cut off. The AC output circuit ensures the safe operation of the wildfire monitoring device when the transmission line is struck by lightning or induced overvoltage.

[0067] Rectifiers are used to convert the magnetic field around the transmission line into direct current.

[0068] Lithium batteries are used to power electric field sensors, smoke particle sensors, current sensors, servers, positioning modules, and wireless communication modules via direct current.

[0069] It should be noted that the maximum power point tracking algorithm is used in the output analysis of lithium batteries and rectifiers to ensure that under different environmental conditions and transmission line loads, the output power of the energy harvesting equipment is maximized to reliably power the electric field sensors, smoke particle sensors, current sensors, processors and other components in the wildfire monitoring device.

[0070] Continue reading Figure 2 The server specifically includes: a processor 151 and a memory 152.

[0071] A memory for storing electric field strength, smoke particles and line current.

[0072] Exemplarily, the electric field strength, smoke particles and line current monitored by the electric field sensor 11, the smoke particle sensor 12 and the current sensor 13 are stored in a memory.

[0073] The processor is used to receive the electric field strength, smoke particles and line current, generate a fault label, and match the fault label with the fault feature library to determine the risk of line fault at the current time node and location parameters.

[0074] Exemplarily, the processor may classify the faults, receive the electric field strength, smoke particles and line current to generate a fault label, and match the fault label with a fault feature library to determine the risk of a line fault occurring at the current time node and location parameters.

[0075] For a certain 35kV line, a wildfire monitoring device is installed at 1 / 3 and 2 / 3 of the line respectively, or the fault-prone locations are determined based on historical fault data; the operating status of the transmission line is monitored under normal conditions, and the monitored data analysis results are fed back to the dispatcher as reference data for the operation and management of the transmission line, and the transmission capacity of the transmission line is maximized in real time according to the line status to improve the transmission capacity; once an abnormal electric field around the transmission line is detected, especially abnormal smoke particles, the local wildfire monitoring device strengthens communication and monitoring, analyzes the monitoring data, extracts data features and matches them with the local fault label library, so as to preliminarily judge the possible faults of the transmission line and send early warning information to the server, strengthen monitoring, and prevent single-phase grounding faults or phase-to-phase short circuit faults caused by wildfires, including line breaks.

[0076] like Figure 3 As shown, Figure 3 A flowchart of an embodiment of a wildfire monitoring method provided by the present invention. A wildfire monitoring method, the method comprising:

[0077] S101: Monitor the electric field strength around the transmission line.

[0078] For example, referring to Figure 1 , the electric field strength around the transmission line is measured by electric field sensors, which are most sensitive to the electric field strength directly below the line.

[0079] S102: Monitor smoke particles in the air.

[0080] Exemplarily, the smoke particles in the air are monitored by a smoke particle sensor, and it is determined whether the smoke particles in the air exceed the standard, with a focus on monitoring sulfide particles generated by medium combustion.

[0081] S103: Monitor the line current flowing through the transmission line.

[0082] For example, the current sensor measures the line current flowing through the transmission line to determine whether the current carrying capacity of the transmission line is within the allowable range. The measurement data of the current sensor can be paired with the measurement data of the electric field sensor to analyze the power factor of the load on the line, and this data can be uploaded to the server as the analysis data of the line load characteristics.

[0083] S104: Collecting time nodes and position parameters corresponding to the electric field intensity, smoke particles, and line current.

[0084] Exemplarily, the time nodes and position parameters corresponding to the electric field strength, smoke particles and line current are collected through the positioning module, the time nodes and position parameters are associated with the detection data of the electric field strength, smoke particles and line current, and the data is uploaded to the server for comprehensive analysis.

[0085] S105: Match the electric field strength, smoke particles and line current with the fault feature library to determine the risk of line fault at the current time node and location parameters.

[0086] Exemplarily, the server receives monitoring data from the electric field sensor 11, the smoke particle sensor 12, and the current sensor 13 through a wireless communication interface, including the electric field strength, smoke particles, and line current, matches the electric field strength, smoke particles, and line current with the fault feature library, and determines the risk of line failure at the current time node and location parameters.

[0087] like Figure 4 As shown, Figure 4 The device 20 includes a memory 21 and a processor 22. The memory 21 stores a computer program, and the processor 22 executes the computer program when working to implement the following. Figure 3 The method shown.

[0088] The specific technical details of a wildfire monitoring method implemented when the above-mentioned device 20 executes a computer program have been discussed in detail in the aforementioned method steps, so they will not be repeated here.

[0089] like Figure 5 As shown, Figure 5 The structure diagram of an embodiment of the medium provided by the present invention is shown in FIG. The medium 30 stores at least one computer program 31, and the computer program 31 is executed by the processor 22 to implement the following Figure 3 In one embodiment, the medium 30 may be a storage chip, a hard disk, a mobile hard disk, a USB flash drive, an optical disk, or other readable and writable storage tools, or a server, etc.

[0090] The above describes specific embodiments of the present specification, and other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily have to be performed in the specific order or sequential order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0091] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer-readable storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0092] The apparatus, device, non-volatile computer-readable storage medium and method provided in the embodiments of this specification correspond to each other, and therefore, the apparatus, device, and non-volatile computer storage medium also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the corresponding apparatus, device, and non-volatile computer storage medium will not be repeated here.

[0093] The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0094] For the convenience of description, the above device is described by being divided into various units according to their functions and described separately. Of course, when implementing this specification, the functions of each unit can be implemented in one or more software and / or hardware. It should be understood by those skilled in the art that this specification embodiment can be provided as a method, system, or computer program product. Therefore, this specification embodiment can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, this specification embodiment can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0095] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0096] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0097] The above disclosure is only the preferred embodiment of the present invention, which certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A forest fire monitoring device, characterized in that: The device is applied to 35kV or 110kV transmission lines, and includes: an electric field sensor, a smoke particle sensor, a current sensor, a positioning module, and a server. The electric field sensor is used to monitor the electric field strength around the transmission line; The smoke particle sensor is used to monitor smoke particles in the air; The current sensor is used to monitor the line current flowing through the transmission line; The positioning module is used to collect time nodes and position parameters corresponding to the electric field strength, smoke particles and line current; The server is connected to the electric field sensor, smoke particle sensor, current sensor and positioning module respectively, and is used to match the electric field strength, smoke particles and line current with the fault feature library to determine the risk of line fault at the current time node and location parameters.

2. A forest fire monitoring device according to claim 1, characterized in that: The device further specifically includes: a wireless communication module and at least one energy harvesting device, The wireless communication module is connected to the server and is used to upload the monitored electric field strength, smoke particles and line current to the server; The at least one energy harvesting device is connected to the server and is used to generate a DC output based on the magnetic field around the transmission line. Each of the DC outputs is added in parallel to obtain a single DC power, and the electric field sensor, smoke particle sensor, current sensor, server, positioning module and wireless communication module are powered by the DC power.

3. A forest fire monitoring device according to claim 2, characterized in that: The energy harvesting device specifically comprises: An AC output circuit, the AC output circuit is used to convert the magnetic field around the transmission line into AC power; A rectifier, the rectifier is used to convert the magnetic field around the transmission line into direct current; A lithium battery is used to power the electric field sensor, the smoke particle sensor, the current sensor, the server, the positioning module and the wireless communication module through the direct current.

4. A forest fire monitoring device according to claim 3, characterized in that: The AC output circuit specifically includes: an overvoltage protection circuit and an overcurrent protection circuit. The overvoltage protection circuit is used to monitor the line voltage of the power transmission line, and if it is determined that the line voltage increases abnormally, cut off the voltage. The overcurrent protection circuit is used to monitor the line current of the transmission line, and if it is determined that the line current increases abnormally, cut off the line current.

5. A forest fire monitoring device according to claim 2, characterized in that: The at least one energy harvesting device is arranged outside the line sensor, and each of the energy harvesting devices is connected to a power transmission line of a different phase.

6. A forest fire monitoring device according to claim 2, characterized in that: The energy harvesting devices are all arranged on a single-phase transmission line.

7. A forest fire monitoring device according to claim 1, characterized in that: The server specifically includes: a processor and a memory, The memory is used to store the electric field strength, smoke particles and line current; The processor is used to receive the electric field strength, smoke particles and line current, generate a fault label, and match the fault label with a fault feature library to determine the risk of line fault occurring at the current time node and location parameters.

8. A forest fire monitoring method, characterized in that: The method comprises: Monitor the electric field strength around transmission lines; monitoring smoke particles in the air; Monitoring line current flowing through transmission lines; Collecting time nodes and position parameters corresponding to the electric field strength, smoke particles and line current; The electric field strength, smoke particles and line current are matched with a fault feature library to determine the risk of line faults occurring at the current time node and location parameters.

9. A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor is caused to execute the steps of the method according to claim 8.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method according to claim 8.

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