Meteorological disaster monitoring system and monitoring method for transmission and distribution network based on multi-dimensional perception

Abstract

The present invention relates to the field of meteorological perception technology, and discloses a multi-dimensional perception-based meteorological disaster monitoring system and method for a transmission, transformation, and distribution network. The system comprises: a primary meteorological station, located at a preset location, for collecting primary meteorological information; a main control center, for generating monitoring device locations for preset extreme areas based on the primary meteorological information; a micro-meteorological holographic perception monitoring device, located at the meteorological perception location, for collecting micro-meteorological monitoring information; a tree barrier perception monitoring device, located at the tree barrier perception location, for collecting tree barrier monitoring information; a wildfire perception monitoring device, located at the wildfire perception location, for collecting wildfire monitoring information; and an ice cover perception monitoring device, located at the ice cover perception location, for collecting ice cover monitoring information. The main control center is further configured to generate monitoring results based on the micro-meteorological monitoring information, the tree barrier monitoring information, the wildfire monitoring information, and the ice cover monitoring information. By building a self-built meteorological disaster system, the security of the transmission, transformation, and distribution network is ensured.

Description

Technical Field

[0001] The present invention relates to the field of meteorological perception technology, and in particular to a transmission and distribution network meteorological disaster monitoring system based on multi-dimensional perception and a transmission and distribution network meteorological disaster monitoring method based on multi-dimensional perception. Background Art

[0002] Electricity has become an essential need in people's lives and work, and is widely used in various fields. To meet the power needs of all fields, it is necessary to lay a corresponding power supply network.

[0003] In terms of the existing power network layout, a large number of sufficient power supply networks have been laid out for human activity areas. However, due to various reasons, in addition to human activity areas, power supply networks also need to be laid out in some non-activity areas, such as forest areas.

[0004] In recent years, the management work of "preventing bird damage, preventing tree barriers, preventing external damage, and preventing wildfires" has been gradually strengthened, and a lot of work has been carried out in disaster prevention and mitigation. However, due to extreme areas such as virgin forests, the land and forest land are extensive, the forest coverage rate is high, the terrain and landforms are complex, and the local microclimate is obvious, resulting in frequent meteorological disasters such as ice cover, wildfires, heavy rains, mountain torrents, and high temperatures that have a huge impact on power facilities. At the same time, due to the low distribution density of national meteorological stations and the low matching with power grid facilities, there is a lack of targeted professional meteorological data support for power disaster prevention in virgin forests. Therefore, the existing monitoring system has insufficient coverage and forecast accuracy for meteorological resource monitoring in virgin forests, and the monitoring and early warning capabilities of meteorological disasters such as wildfires, ice cover, and heavy rains need to be improved urgently and cannot meet actual needs. Summary of the Invention

[0005] In order to overcome the above-mentioned technical problems existing in the prior art, an embodiment of the present invention provides a transmission and distribution network meteorological disaster monitoring system and monitoring method based on multi-dimensional perception. By scientifically and rationally deploying corresponding perception and monitoring devices based on the original meteorological station according to the characteristics of various meteorological disasters, the effect of a self-built meteorological disaster system is achieved, thereby ensuring the safety of the transmission and distribution network.

[0006] To achieve the above objectives, an embodiment of the present invention provides a transmission and distribution network meteorological disaster monitoring system based on multi-dimensional perception, the system comprising: an original meteorological station, located at a preset location, for collecting original meteorological information; a main control center, electrically connected to a micro-meteorological holographic perception monitoring device, a tree barrier perception monitoring device, a mountain fire perception monitoring device, and an ice cover perception monitoring device, the main control center being configured to generate monitoring device deployment locations for preset extreme areas based on the original meteorological information, the monitoring device deployment locations including meteorological perception locations, tree barrier perception locations, mountain fire perception locations, and ice cover perception locations; The micro-meteorological holographic perception monitoring device is arranged at the meteorological perception position and is used to collect micro-meteorological monitoring information; the tree barrier perception monitoring device is arranged at the tree barrier perception position and is used to collect tree barrier monitoring information; the forest fire perception monitoring device is arranged at the forest fire perception position and is used to collect forest fire monitoring information; the ice cover perception monitoring device is arranged at the ice cover perception position and is used to collect ice cover monitoring information; the main control center is also used to: generate corresponding monitoring results based on the micro-meteorological monitoring information, the tree barrier monitoring information, the forest fire monitoring information and the ice cover monitoring information.

[0007] Preferably, the original meteorological information is multi-source heterogeneous meteorological information, and the generation of the monitoring device layout location for the preset extreme area based on the original meteorological information includes: performing a data fusion operation on the multi-source heterogeneous meteorological information to generate fused data; performing a preliminary meteorological analysis on the fused data to generate environmental analysis information for the extreme area; determining the installation area of ​​the transmission and distribution network; and performing a monitoring device layout location analysis on the installation area based on the environmental analysis information to generate a corresponding monitoring device layout location.

[0008] Preferably, the analysis of the installation position of the monitoring device is performed on the installation area based on the environmental analysis information to generate the corresponding installation position of the monitoring device, including: determining the original installation position of the original meteorological station located in the installation area; performing reliability analysis on the original meteorological information based on the environmental analysis information, the original installation position and the installation area to generate a reliability analysis result; and determining the installation position of the monitoring device based on the reliability analysis result.

[0009] Preferably, determining the monitoring device installation location based on the reliability analysis result includes: generating a reliability distribution field for the installation area based on the reliability analysis result; obtaining a preset reliability threshold, intercepting the reliability distribution field based on the preset reliability threshold to obtain multiple unreliable fields; obtaining the lowest point of each unreliable field; and determining each lowest point as the monitoring device installation location.

[0010] Preferably, the main control center is also used for: S101) deploying the corresponding monitoring device after generating the deployment location of the monitoring device; S102) updating the reliability distribution field based on the original meteorological information, the micrometeorological monitoring information, the tree barrier monitoring information, the wildfire monitoring information and the ice monitoring information; S103) judging whether further deployment of monitoring devices is required based on the updated reliability analysis field; S104) if so, looping through steps S101)-S103).

[0011] Preferably, the main control center is also used to: after obtaining the lowest point of each unreliable field, determine whether there are multiple adjacent lowest points whose occurrence frequency is greater than a preset frequency value; if so, perform merging processing on the multiple adjacent lowest points to generate a merged point; and generate an optimized lowest point based on the merged point and the remaining lowest points.

[0012] Correspondingly, the present invention also provides a method for monitoring meteorological disasters in a transmission and distribution network based on multi-dimensional perception, the method comprising: collecting original meteorological information; generating monitoring device deployment locations for preset extreme areas based on the original meteorological information, the monitoring device deployment locations comprising meteorological sensing locations, tree barrier sensing locations, wildfire sensing locations and ice cover sensing locations; obtaining micrometeorological monitoring information corresponding to the meteorological sensing locations, tree barrier monitoring information corresponding to the tree barrier sensing locations, wildfire monitoring information corresponding to the wildfire sensing locations and ice cover monitoring information corresponding to the ice cover sensing locations; generating corresponding monitoring results based on the micrometeorological monitoring information, the tree barrier monitoring information, the wildfire monitoring information and the ice cover monitoring information.

[0013] Preferably, the raw meteorological information is multi-source heterogeneous meteorological information, and generating monitoring device deployment locations for predetermined extreme areas based on the raw meteorological information includes: performing a data fusion operation on the multi-source heterogeneous meteorological information to generate fused data; performing preliminary meteorological analysis on the fused data to generate environmental analysis information for the extreme area; determining the installation area of ​​the transmission, transformation and distribution network; and performing monitoring device deployment location analysis on the installation area based on the environmental analysis information to generate corresponding monitoring device deployment locations.

[0014] Preferably, the analysis of the installation position of the monitoring device is performed on the installation area based on the environmental analysis information to generate the corresponding installation position of the monitoring device, including: determining the original installation position of the original meteorological station located in the installation area; performing reliability analysis on the original meteorological information based on the environmental analysis information, the original installation position and the installation area to generate a reliability analysis result; and determining the installation position of the monitoring device based on the reliability analysis result.

[0015] Preferably, determining the monitoring device installation location based on the reliability analysis result includes: generating a reliability distribution field for the installation area based on the reliability analysis result; obtaining a preset reliability threshold, intercepting the reliability distribution field based on the preset reliability threshold to obtain multiple unreliable fields; obtaining the lowest point of each unreliable field; and determining each lowest point as the monitoring device installation location.

[0016] Preferably, the method further includes: after obtaining the lowest point of each unreliable field, determining whether there are multiple adjacent lowest points whose occurrence frequency is greater than a preset frequency value; if so, performing merging processing on the multiple adjacent lowest points to generate a merged point; and generating an optimized lowest point based on the merged point and the remaining lowest points.

[0017] The technical solution provided by the present invention has at least the following technical effects:

[0018] By utilizing the data reliability of existing meteorological stations, we conduct reliability analysis on the entire extreme area that requires a self-built meteorological disaster monitoring system, and deploy sensing monitoring devices based on the low value of reliability. This can achieve accurate and effective monitoring of meteorological disasters in the entire extreme area based on the deployment of minimum sensing monitoring devices, which is beneficial to ensuring the safety of the transmission and distribution network.

[0019] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following detailed description, they are used to explain the embodiments of the present invention, but do not constitute a limitation of the embodiments of the present invention. In the accompanying drawings:

[0021] Figure 1 Schematic diagram of the structure of a transmission and distribution network meteorological disaster monitoring system based on multi-dimensional perception provided by an embodiment of the present invention;

[0022] Figure 2 This is a specific implementation flow chart of generating a monitoring device deployment location provided by an embodiment of the present invention;

[0023] Figure 3 This is a specific implementation flow chart of optimizing the deployment location of monitoring devices provided by an embodiment of the present invention;

[0024] Figure 4 This is a specific implementation flow chart of the method for monitoring meteorological disasters in a transmission and distribution network based on multi-dimensional perception provided by an embodiment of the present invention.

[0025] Description of Reference Numerals

[0026] 10 original weather stations 20 master control units

[0027] 30 Micro-meteorological holographic sensing and monitoring device 40 Tree barrier sensing and monitoring device

[0028] 50 Wildfire sensing and monitoring device 60 Ice sensing and monitoring device DETAILED DESCRIPTION

[0029] The following describes the specific implementation of the embodiment of the present invention in detail with reference to the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the embodiment of the present invention and is not used to limit the embodiment of the present invention.

[0030] The terms "system" and "network" in the embodiments of the present invention can be used interchangeably. "Multiple" refers to two or more. In view of this, "multiple" can also be understood as "at least two" in the embodiments of the present invention. "And / or" describes the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / ", unless otherwise specified, generally indicates that the previous and next associated objects are in an "or" relationship. In addition, it should be understood that in the description of the embodiments of the present invention, words such as "first" and "second" are only used to distinguish the purpose of description, and cannot be understood as indicating or implying relative importance, nor can they be understood as indicating or implying order.

[0031] See Figure 1 , an embodiment of the present invention provides a transmission and distribution network meteorological disaster monitoring system based on multi-dimensional perception, the system comprising: an original meteorological station 10, arranged at a preset position, for collecting original meteorological information; a main control center 20, electrically connected to a micro-meteorological holographic perception monitoring device 30, a tree barrier perception monitoring device 40, a mountain fire perception monitoring device 50, and an ice perception monitoring device 60, the main control center 20 being used to generate a monitoring device layout position for a preset extreme area based on the original meteorological information, the monitoring device layout position including a meteorological perception position, a tree barrier perception position, a mountain fire perception position, and an ice perception position; the The micro-meteorological holographic sensing monitoring device 30 is arranged at the meteorological sensing position for collecting micro-meteorological monitoring information; the tree barrier sensing monitoring device 40 is arranged at the tree barrier sensing position for collecting tree barrier monitoring information; the wildfire sensing monitoring device 50 is arranged at the wildfire sensing position for collecting wildfire monitoring information; the ice cover sensing monitoring device 60 is arranged at the ice cover sensing position for collecting ice cover monitoring information; the main control center 20 is also used to: generate corresponding monitoring results based on the micro-meteorological monitoring information, the tree barrier monitoring information, the wildfire monitoring information and the ice cover monitoring information.

[0032] In one possible implementation, the transmission and distribution network meteorological disaster monitoring system based on multi-dimensional perception provided by an embodiment of the present invention is based on existing meteorological stations. In order to address the defect that the number of existing meteorological stations in extreme areas (such as the Shennongjia forest area, desert areas, etc.) is insufficient and cannot provide accurate meteorological disaster monitoring information, it further provides monitoring devices for monitoring different types of meteorological disasters and arranges them reasonably, thereby greatly improving the richness of meteorological disaster monitoring in extreme areas, the accuracy of data collection, and improving the accuracy of subsequent meteorological disaster monitoring and forecasting.

[0033] In actual application, it is easy to know that, on the one hand, although the original weather stations 10 deployed in extreme areas are insufficient, they have sufficient monitoring accuracy within the effective range, so their monitoring data have certain utilization value; on the other hand, extreme areas are often large in scope. If the sensing monitoring devices are laid according to ordinary standards, the laying cost will be greatly increased and the operating efficiency of the enterprise will be reduced.

[0034] In order to solve the above technical problems, in an embodiment of the present invention, the data collected by the existing original weather station 10 is analyzed and the layout position of the separately deployed perception monitoring device is optimized.

[0035] In an embodiment of the present invention, the original meteorological information is multi-source heterogeneous meteorological information, and the generation of the monitoring device layout location for a preset extreme area based on the original meteorological information includes: performing a data fusion operation on the multi-source heterogeneous meteorological information to generate fused data; performing a preliminary meteorological analysis on the fused data to generate environmental analysis information for the extreme area; determining the installation area of ​​the transmission and distribution network; and performing a monitoring device layout location analysis on the installation area based on the environmental analysis information to generate a corresponding monitoring device layout location.

[0036] In one possible implementation, it is easy for those skilled in the art to know that with the continuous development of sensor technology, the existing original meteorological station 10 is no longer a simple meteorological information collection device, but may integrate multiple functions. Therefore, the information it collects may be multi-source heterogeneous meteorological data. In the process of generating the monitoring device layout location based on the above-mentioned original meteorological information, it is first necessary to perform data fusion operations on the above-mentioned multi-source heterogeneous meteorological information. Specifically, the existing fusion technology can be used to perform data fusion operations on it to generate fused data.

[0037] A preliminary meteorological analysis is then performed on the fused data. Specifically, based on this fused data and the topographical and climatic characteristics of the Shenlongjia distribution network area, an existing forecasting model or device is used to generate a preliminary meteorological forecast for the Shenlongjia forest area. This forecast is then narrowed down to the area where the transmission and distribution network is located. For example, the area corresponding to the forecast is narrowed down to within 10 meters of the transmission and distribution network area, focusing only on the area within this extreme region that is related to the transmission and distribution network area. Finally, based on the forecast results within this narrowed range, the monitoring device placement analysis is performed to generate accurate meteorological disaster monitoring information for the transmission and distribution network.

[0038] In an embodiment of the present invention, based on the existing original meteorological station 10, the accuracy of its small-scale data is utilized to provide data support for the reasonable deployment of the perception monitoring device. Compared with the general deployment method, the scientific deployment of the perception monitoring device in extreme areas is improved, the operating costs of the enterprise are reduced, and the operating efficiency of the enterprise is improved.

[0039] See Figure 2 In an embodiment of the present invention, the step of analyzing the deployment location of the monitoring device in the deployment area based on the environmental analysis information to generate the corresponding deployment location of the monitoring device includes:

[0040] S41) determining the original deployment location of the original weather station in the deployment area;

[0041] S42) performing reliability analysis on the original meteorological information based on the environmental analysis information, the original deployment position, and the installation area to generate a reliability analysis result;

[0042] S43) Determine the location of the monitoring device based on the reliability analysis result.

[0043] In one possible implementation, the original deployment locations of the original meteorological stations 10 within the installation area are first determined. A reliability analysis of the original meteorological information is then performed based on the environmental analysis information, the original deployment locations, and the installation area. Specifically, the environmental analysis information covers the entire extreme area. Based on the original deployment location of each original meteorological station 10, its predetermined data validity range, and the corresponding relationship between its monitoring distance and monitoring accuracy, the monitoring accuracy of each location within the entire extreme area can be determined. Satellite, radar, and other observation data and geological survey data (topographic and climatic characteristics, etc.) are then combined to optimize and adjust the monitoring accuracy of the entire extreme area to generate a reliability analysis result for the original meteorological information within the entire extreme area. The generated reliability analysis result includes an ice monitoring accuracy score, a wildfire monitoring accuracy score, a micrometeorological monitoring accuracy score, and a tree barrier monitoring accuracy score. The micrometeorological conditions include, but are not limited to, heavy rain, mountain torrents, and high temperatures. By constraining the information within the installation area, a reliability analysis result for the original meteorological information within the entire installation area is obtained. Based on this, the deployment location of the monitoring device is determined based on the reliability analysis result.

[0044] In an embodiment of the present invention, determining the location of the monitoring device based on the reliability analysis result includes: generating a reliability distribution field for the installation area based on the reliability analysis result; obtaining a preset reliability threshold, intercepting the reliability distribution field based on the preset reliability threshold to obtain multiple unreliable fields; obtaining the lowest point of each unreliable field; and determining each lowest point as the location of the monitoring device.

[0045] In one possible implementation, first, a corresponding reliability distribution field is generated for the installation area based on each reliability analysis result, and then a preset reliability threshold is obtained. For example, an area with a reliability greater than 70% is determined as a reliable field, and other areas are determined as unreliable fields, thereby obtaining multiple unreliable fields. At this time, the lowest point of each unreliable field is obtained, and the lowest point is determined as the installation location of the monitoring device, that is, the installation locations of the micro-meteorological holographic perception monitoring device, the tree barrier perception monitoring device, the forest fire perception monitoring device and the ice cover perception monitoring device are respectively generated in the installation area.

[0046] However, the above solution is only the first generation of monitoring device layout positions. For extreme areas, due to the existence of a large amount of vacant space, the above layout positions may still not meet actual needs.

[0047] See Figure 3 In an embodiment of the present invention, the system further includes:

[0048] S101) After generating the monitoring device deployment positions, deploy the corresponding monitoring devices;

[0049] S102) updating the reliability distribution field based on the original meteorological information, the micrometeorological monitoring information, the tree barrier monitoring information, the mountain fire monitoring information, and the ice cover monitoring information;

[0050] S103) determining whether further monitoring devices need to be deployed based on the updated reliability analysis field;

[0051] S104) If yes, execute steps S101)-S103) in a loop.

[0052] In one possible implementation, after initially generating the monitoring device deployment locations, further verification is performed to determine whether all areas within the deployment area meet the requirements. First, the corresponding monitoring devices are deployed according to the aforementioned monitoring device deployment locations. Specifically, the corresponding micro-meteorological holographic sensing monitoring devices, tree barrier sensing monitoring devices, wildfire sensing monitoring devices, and ice cover sensing monitoring devices are deployed. Of course, it is readily apparent to those skilled in the art that, in order to improve the optimization efficiency of the overall deployment plan and reduce workload, technicians can first perform theoretical deployment or virtual deployment on a computer. On this basis, the reliability distribution field is further updated based on the original meteorological information, the micro-meteorological monitoring information, the tree barrier monitoring information, the wildfire monitoring information, and the ice cover monitoring information, and an updated reliability distribution field is obtained. At this point, it is determined based on the updated reliability distribution field whether further deployment of monitoring devices is required. For example, in the first embodiment, based on the analysis of the updated reliability distribution field, it is determined that further deployment of micro-meteorological holographic sensing monitoring devices and wildfire sensing monitoring devices is required. Therefore, after returning to step S101 for further deployment, the overall deployment plan is determined and optimized. In the second embodiment, based on the analysis of the reliability distribution field after the final update, it is determined that all the sensing monitoring devices are reasonably arranged. At this time, the final sensing monitoring device arrangement plan is generated, that is, the final monitoring device arrangement position of each sensing monitoring device is determined.

[0053] In an embodiment of the present invention, by conducting reliability assessment based on existing original meteorological information, the layout location of each sensing monitoring device is accurately and scientifically determined, which has higher accuracy and adaptability than the general layout method, and avoids the need to re-collect and obtain all data, greatly reducing the complexity of analysis, reducing enterprise operating costs, improving enterprise operating efficiency, and meeting actual needs.

[0054] During the specific implementation process, technicians also found that since the above method generates the layout positions for each different perception monitoring device separately, there are large differences in the layout positions of different perception monitoring devices. However, the layout area distances of some perception monitoring devices are not much different. If the perception monitoring devices are still laid out and installed separately, it may cause a huge amount of redundant workload, reduce work efficiency, and increase enterprise costs.

[0055] In order to solve the above technical problems, in an embodiment of the present invention, the system also includes: after obtaining the lowest point of each unreliable field, determining whether there are multiple adjacent lowest points whose occurrence frequency is greater than a preset frequency value; if so, performing merging processing on the multiple adjacent lowest points to generate a merged point; and generating an optimized lowest point based on the merged point and the remaining lowest points.

[0056] In one possible implementation, after obtaining the lowest point of each unreliable field, determine whether there are multiple adjacent lowest points whose frequency of occurrence is greater than a preset frequency value. In the specific implementation process, the number of lowest points of the same perception monitoring device appearing within a unit distance is taken as the frequency of occurrence of a single device, and the number of lowest points of different perception monitoring devices appearing within a unit distance is taken as the frequency of occurrence of a mixed device. A merge analysis is performed on the above-mentioned frequency of occurrence of a single device. For example, when the lowest points of multiple single perception monitoring devices appear within a unit distance (for example, 20m), they can be merged to generate a merged point; for the above-mentioned frequency of occurrence of a mixed device, if the lowest points of multiple mixed perception monitoring devices appear within a unit distance (for example, 100m), they can be merged to generate a merged point. Finally, an optimized lowest point is generated based on the merged point and the remaining lowest points as the layout position of all perception monitoring devices.

[0057] In an embodiment of the present invention, by geographically optimizing and merging the layout locations of different sensing and monitoring devices, invalid and inefficient installation and layout work is greatly reduced, work efficiency is greatly improved, the company's material and labor expenses are reduced, and operating benefits are improved.

[0058] See Figure 4 Based on the same inventive concept, an embodiment of the present invention provides a method for monitoring meteorological disasters in a transmission and distribution network based on multi-dimensional perception, the method comprising:

[0059] S10) collecting original meteorological information;

[0060] S20) generating monitoring device deployment locations for preset extreme areas based on the original meteorological information, the monitoring device deployment locations including meteorological sensing locations, tree barrier sensing locations, mountain fire sensing locations, and ice cover sensing locations;

[0061] S30) acquiring micrometeorological monitoring information corresponding to the meteorological sensing position, tree barrier monitoring information corresponding to the tree barrier sensing position, mountain fire monitoring information corresponding to the mountain fire sensing position, and ice cover monitoring information corresponding to the ice cover sensing position;

[0062] S40) Generate corresponding monitoring results based on the micrometeorological monitoring information, the tree barrier monitoring information, the wildfire monitoring information and the ice cover monitoring information.

[0063] In an embodiment of the present invention, the raw meteorological information is multi-source heterogeneous meteorological information. Generating monitoring device deployment locations for a predetermined extreme area based on the raw meteorological information includes: performing a data fusion operation on the multi-source heterogeneous meteorological information to generate fused data; performing preliminary meteorological analysis on the fused data to generate environmental analysis information for the extreme area; determining the installation area of ​​the transmission, transformation and distribution network; and performing monitoring device deployment location analysis on the installation area based on the environmental analysis information to generate corresponding monitoring device deployment locations.

[0064] In an embodiment of the present invention, the analysis of the installation position of the monitoring device in the installation area based on the environmental analysis information to generate the corresponding installation position of the monitoring device includes: determining the original installation position of the original meteorological station located in the installation area; performing reliability analysis on the original meteorological information based on the environmental analysis information, the original installation position and the installation area to generate a reliability analysis result; and determining the installation position of the monitoring device based on the reliability analysis result.

[0065] In an embodiment of the present invention, determining the location of the monitoring device based on the reliability analysis result includes: generating a reliability distribution field for the installation area based on the reliability analysis result; obtaining a preset reliability threshold, intercepting the reliability distribution field based on the preset reliability threshold to obtain multiple unreliable fields; obtaining the lowest point of each unreliable field; and determining each lowest point as the location of the monitoring device.

[0066] In an embodiment of the present invention, the method further includes: after obtaining the lowest point of each unreliable field, determining whether there are multiple adjacent lowest points with an occurrence frequency greater than a preset frequency value; if so, performing merging processing on the multiple adjacent lowest points to generate a merged point; and generating an optimized lowest point based on the merged point and the remaining lowest points.

[0067] The above describes in detail the optional implementation methods of the embodiments of the present invention in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above implementation methods. Within the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical solutions of the embodiments of the present invention, and these simple modifications all fall within the scope of protection of the embodiments of the present invention.

[0068] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any appropriate manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0069] Those skilled in the art will understand that all or part of the steps in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a program, which is stored in a storage medium and includes a number of instructions for causing a single-chip microcomputer, chip or processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program code.

[0070] In addition, various implementations of the embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the embodiments of the present invention, they should also be regarded as the contents disclosed in the embodiments of the present invention.

Claims

1. A meteorological disaster monitoring system for transmission and distribution networks based on multi-dimensional perception, characterized in that: The system comprises: An original meteorological station (10) is arranged at a preset location and is used to collect original meteorological information; the original meteorological information is multi-source heterogeneous meteorological information, and the monitoring device arrangement position for a preset extreme area is generated based on the original meteorological information, including: Performing a data fusion operation on the multi-source heterogeneous meteorological information to generate fused data; performing preliminary meteorological analysis on the fused data to generate environmental analysis information for the extreme area; Determine the area where the transmission, transformation and distribution network will be installed; Performing a monitoring device deployment position analysis on the deployment area based on the environmental analysis information to generate a corresponding monitoring device deployment position; The performing a monitoring device deployment position analysis on the installation area based on the environmental analysis information to generate a corresponding monitoring device deployment position includes: Determining the original deployment location of the original weather station located in the deployment area; Performing reliability analysis on the original meteorological information based on the environmental analysis information, the original deployment location, and the installation area to generate a reliability analysis result; Determining a monitoring device deployment location based on the reliability analysis result; A main control center (20) is electrically connected to a micro-meteorological holographic sensing monitoring device (30), a tree barrier sensing monitoring device (40), a mountain fire sensing monitoring device (50), and an ice cover sensing monitoring device (60), wherein the main control center (20) is used to generate monitoring device layout positions for a preset extreme area based on the original meteorological information, wherein the monitoring device layout positions include meteorological sensing positions, tree barrier sensing positions, mountain fire sensing positions, and ice cover sensing positions; The micro-meteorological holographic sensing and monitoring device (30) is arranged at the meteorological sensing position and is used to collect micro-meteorological monitoring information; The tree barrier sensing and monitoring device (40) is arranged at the tree barrier sensing position and is used to collect tree barrier monitoring information; The mountain fire sensing and monitoring device (50) is arranged at the mountain fire sensing location and is used to collect mountain fire monitoring information; The ice cover sensing and monitoring device (60) is arranged at the ice cover sensing position and is used to collect ice cover monitoring information; The main control center (20) is further configured to generate corresponding monitoring results based on the micro-meteorological monitoring information, the tree barrier monitoring information, the mountain fire monitoring information, and the ice cover monitoring information.

2. The system according to claim 1, wherein: The determining of the monitoring device placement location based on the reliability analysis result includes: generating a reliability distribution field for the installation area based on the reliability analysis result; Obtaining a preset reliability threshold, and intercepting the reliability distribution field based on the preset reliability threshold to obtain a plurality of unreliable fields; Get the lowest point of each unreliable field; Determine each lowest point as the location for placing the monitoring device.

3. The system according to claim 2, characterized in that The main control center (20) is also used for: S101) After generating the monitoring device deployment locations, deploy the corresponding monitoring devices; S102) updating the reliability distribution field based on the original meteorological information, the micrometeorological monitoring information, the tree barrier monitoring information, the wildfire monitoring information, and the ice cover monitoring information; S103) Determining whether further monitoring devices need to be deployed based on the updated reliability analysis field; S104) If yes, loop through steps S101)-S103).

4. The system according to claim 3, characterized in that The main control center (20) is also used for: After obtaining the lowest point of each unreliable field, determining whether there are multiple adjacent lowest points whose occurrence frequency is greater than a preset frequency value; If so, performing merging processing on the multiple adjacent lowest points to generate a merged point; An optimized lowest point is generated based on the merged point and the remaining lowest points.

5. A method for monitoring meteorological disasters in a transmission and distribution network based on multi-dimensional perception, characterized in that: The method comprises: Collecting original meteorological information; Generating monitoring device deployment locations for preset extreme areas based on the raw meteorological information, the monitoring device deployment locations including meteorological sensing locations, tree barrier sensing locations, wildfire sensing locations, and ice cover sensing locations; the raw meteorological information is multi-source heterogeneous meteorological information, and generating monitoring device deployment locations for preset extreme areas based on the raw meteorological information includes: Performing a data fusion operation on the multi-source heterogeneous meteorological information to generate fused data; performing preliminary meteorological analysis on the fused data to generate environmental analysis information for the extreme area; Determine the area where the transmission, transformation and distribution network will be installed; The step of analyzing the placement position of the monitoring device in the installation area based on the environmental analysis information to generate a corresponding placement position of the monitoring device comprises: Determining the original deployment location of the original weather station located in the deployment area; Performing reliability analysis on the original meteorological information based on the environmental analysis information, the original deployment location, and the installation area to generate a reliability analysis result; Determining a monitoring device layout location based on the reliability analysis result; determining the monitoring device layout location based on the reliability analysis result includes: generating a reliability distribution field for the installation area based on the reliability analysis result; Obtaining a preset reliability threshold, and intercepting the reliability distribution field based on the preset reliability threshold to obtain a plurality of unreliable fields; Get the lowest point of each unreliable field; Determine each lowest point as the location for deploying monitoring devices; Acquire micrometeorological monitoring information corresponding to the meteorological sensing position, tree barrier monitoring information corresponding to the tree barrier sensing position, wildfire monitoring information corresponding to the wildfire sensing position, and ice cover monitoring information corresponding to the ice cover sensing position; Corresponding monitoring results are generated based on the micrometeorological monitoring information, the tree barrier monitoring information, the wildfire monitoring information and the ice cover monitoring information.

6. The method according to claim 5, characterized in that The method further comprises: After obtaining the lowest point of each unreliable field, determining whether there are multiple adjacent lowest points whose occurrence frequency is greater than a preset frequency value; If so, performing merging processing on the multiple adjacent lowest points to generate a merged point; An optimized lowest point is generated based on the merged point and the remaining lowest points.

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