Desert photovoltaic meteorological disaster intelligent early warning system and method

Abstract

The invention discloses an intelligent early warning system and method for desert photovoltaic meteorological disasters, and relates to the technical field of intelligent early warning of disasters, and the system comprises an intelligent early warning server for desert meteorological disasters, a meteorological disaster information early warning network unit, and a plurality of intelligent early warning terminals for meteorological disasters. According to the invention, the meteorological disaster information early warning network unit broadcasts the early warning information to the meteorological disaster intelligent early warning terminal in the strong communication area through the wireless communication network based on the identification result of the strong wind, sand and dust risk disasters. The meteorological disaster information early warning network unit establishes a wireless communication network in a desert photovoltaic area, and establishes a strong communication area at a photovoltaic power station based on the maneuvering network base station unit, thereby ensuring stable coverage of early warning information and subsequent communication of the photovoltaic power station in a disaster prediction coverage area under the condition that strong wind and dust become larger gradually. The meteorological disaster intelligent early warning terminal receives, analyzes and displays early warning information in real time, reminds a user to pay attention to disaster risks through voice broadcast and sound-light alarm, and provides timely and visual early warning service.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent disaster early warning, and particularly to an intelligent early warning system and method for desert photovoltaic meteorological disasters. Background Art

[0002] The climate in desert areas is extreme, and natural disasters such as sandstorms, high temperatures, and droughts occur frequently, posing a threat to the stable operation of photovoltaic power stations. Photovoltaic power stations require huge investments. Once affected by meteorological disasters, they may result in serious economic losses and equipment damage. Early warning of meteorological disasters can provide sufficient time for power station operation and maintenance personnel to take protective measures to ensure personnel safety. An intelligent early warning system can help operation and maintenance personnel manage the power station more effectively and reduce unnecessary losses.

[0003] With the development of technologies such as satellite remote sensing, big data, and artificial intelligence, the desert photovoltaic meteorological disaster early warning system has gradually matured. Some desert photovoltaic power stations have begun to deploy meteorological disaster early warning systems to predict disasters through real-time monitoring and data analysis.

[0004] However, due to the complex environment in desert areas, existing early warning technologies may have limitations under extreme weather conditions. In desert areas, where the population is sparse, it is challenging to establish a stable and fully covered communication network. Moreover, during the most common sandstorm disasters in the desert, the number of dust particles in the air increases. These particles can absorb and scatter radio waves, thereby hindering signal transmission. This can lead to a weakening of the signal strength and even signal interruption. Therefore, the disaster early warning signals from the early warning server may not be transmitted in a timely manner.

[0005] The intelligent early warning system for desert photovoltaic meteorological disasters is crucial for ensuring the safe operation of photovoltaic power stations. Although there has been certain development at present, there are still many challenges and room for improvement. Summary of the Invention

[0006] In order to solve the above technical problems, the present invention provides an intelligent early warning system and method for desert photovoltaic meteorological disasters. The following technical solutions are adopted:

[0007] Desert Photovoltaic Meteorological Disaster Intelligent Early Warning System, including a desert meteorological disaster intelligent early warning server, a meteorological disaster information early warning network unit, and multiple meteorological disaster intelligent early warning terminals. The desert meteorological disaster intelligent early warning server fuses meteorological observation network data with satellite remote sensing information, uses support vector machine and deep learning algorithms to analyze and identify the high wind and sandstorm risk disasters in the desert photovoltaic area, and generates meteorological disaster early warning information based on the identification results of the high wind and sandstorm risk disasters. The meteorological disaster information early warning network unit establishes a wireless communication network in the desert photovoltaic area and establishes a strong communication area based on the mobile network base station unit at the photovoltaic power station. The data input end of the meteorological disaster information early warning network unit is communicatively connected to the meteorological disaster early warning information output end of the desert meteorological disaster intelligent early warning server. Multiple meteorological disaster intelligent early warning terminals are respectively located in the strong communication area of the photovoltaic power station. Multiple meteorological disaster intelligent early warning terminals are respectively wirelessly communicatively connected to the information broadcast module of the meteorological disaster information early warning network unit based on the wireless network in the strong communication area, receive the meteorological disaster early warning information, parse and display the meteorological disaster early warning information, and at the same time execute an alarm action.

[0008] By adopting the above technical solutions, the desert photovoltaic meteorological disaster intelligent early warning system realizes the real-time monitoring, intelligent identification, and timely early warning of high wind and sandstorm disasters in the desert photovoltaic area through multi-source data fusion, intelligent algorithm analysis, wireless communication network construction, and terminal early warning execution. The ground meteorological observation station collects meteorological data in the desert photovoltaic area in real time, including wind speed, wind direction, temperature, humidity, air pressure, etc. Satellite remote sensing technology obtains information such as sand dust concentration and sand dust movement trajectory in the desert area. The desert meteorological disaster intelligent early warning server fuses meteorological observation network data with satellite remote sensing information to generate comprehensive meteorological disaster early warning data. The fused data is cleaned and standardized to remove noise and outliers. Support vector machine (SVM) and deep learning algorithms are used to analyze the comprehensive meteorological disaster early warning data to identify high wind and sandstorm risk disasters. The wind direction information and the location of the disaster area of the high wind and sandstorm risk disasters are extracted. Based on the identification results of the high wind and sandstorm risk disasters, meteorological disaster early warning information is generated, including disaster type, sandstorm starting time, duration, and sand passing area. The meteorological disaster information early warning network unit broadcasts the early warning information to the meteorological disaster intelligent early warning terminals in the strong communication area through a wireless communication network (such as LoRa technology). The meteorological disaster intelligent early warning terminal can receive, parse, and display the early warning information in real time, and remind users to pay attention to the disaster risk through voice broadcast and audible and visual alarms, providing timely and intuitive early warning services.

[0009] The meteorological disaster information warning network unit establishes a wireless communication network in the desert photovoltaic area, and based on the mobile network base station unit, a strong communication area is established at the photovoltaic power station. The system can ensure stable coverage of the warning information of the photovoltaic power station and subsequent communication in the disaster predicted coverage area when the strong wind and sand gradually increase, and avoid communication interruption caused by the influence of sand and dust on the warning information.

[0010] The intelligent warning system for meteorological disasters in desert photovoltaic areas realizes real-time monitoring, intelligent identification, and timely warning of strong wind and sand disasters through multi-source data fusion, intelligent algorithm analysis, wireless communication network construction, and terminal warning execution. This system has the advantages of high warning accuracy, reliable information transmission, timely alarm service, and strong system flexibility. It can effectively guarantee the safe operation of desert photovoltaic power plants, reduce disaster losses, and has significant technical effects and application values.

[0011] Optionally, the meteorological disaster information warning network unit includes a data switch, a data buffer, a disaster information analysis module based on a computer, an information broadcast module, multiple fixed communication base stations, and a mobile network base station unit. The data input end of the data switch communicates and exchanges meteorological disaster warning information with the meteorological disaster warning information output end of the desert meteorological disaster intelligent warning server. The data buffer communicates and exchanges meteorological disaster warning information with the data switch. The disaster information analysis module is communicatively connected to the data buffer, analyzes the meteorological disaster warning information, obtains the wind direction information of the strong wind and sand risk disaster and the location of the disaster area, and performs disaster warning matching based on the location of the photovoltaic power station in the preset electronic map. Mark the location of the successfully matched photovoltaic power station, generate a control signal for the mobile network base station based on the wind direction information of the strong wind and sand risk disaster. The information broadcast module exchanges location marking data with the disaster information analysis module. Multiple fixed communication base stations are respectively set at the physical center points of the photovoltaic power stations. Multiple fixed communication base stations are respectively wirelessly communicatively connected to the information broadcast module and form a wireless ad hoc network. The mobile network base station unit communicates and exchanges location marking data and mobile network base station control signals with the disaster information analysis module, moves to the periphery of the location marking data based on the location marking data, and the mobile network base station unit and the fixed communication base station at the location of the location marking data construct a strong communication area through wireless ad hoc networking.

[0012] Optionally, the disaster information analysis module is a computer, and the information broadcast module and the wireless networks of multiple fixed communication base stations and mobile network base station units are realized based on the wireless Lora technology.

[0013] By adopting the above technical solutions, the intelligent early warning server for desert meteorological disasters is a computer server similar to a meteorological center. The intelligent early warning server for desert meteorological disasters sends meteorological disaster early warning information to the meteorological disaster information early warning network unit. The data switch receives the early warning information and stores it in the data buffer. The information broadcasting module obtains the early warning information from the data buffer and generates location marking data according to the location of the disaster. The information broadcasting module sends the location marking data and the mobile network base station control signal to the mobile network base station unit. Multiple fixed communication base stations are respectively set at the physical center points of the photovoltaic power stations and are wirelessly communicatively connected to the information broadcasting module to form a wireless ad hoc network. The mobile network base station unit moves to the periphery of the location marking data according to the location marking data and the mobile network base station control signal and forms a wireless ad hoc network with the fixed communication base station at the location where the location marking data is located to construct a strong communication area.

[0014] Multiple intelligent early warning terminals for meteorological disasters are respectively located within the strong communication area of the photovoltaic power station and are connected to the information broadcasting module through a wireless network.

[0015] The mobile network base station unit can be maneuvered to different positions as needed to avoid areas with strong influence of strong wind and dust, and form an ad hoc network with the fixed communication base stations within the area expected to be covered by the strong wind and dust disaster, strengthening the wireless network in this area, that is, forming a strong communication area. Wireless communication within the strong communication area can be guaranteed to ensure that the intelligent early warning terminals for meteorological disasters within the area expected to be covered by the strong wind and dust disaster can all receive the early warning information of the strong wind and dust disaster in a timely manner. The wireless network between the information broadcasting module and multiple fixed communication base stations and the mobile network base station unit is implemented based on the wireless Lora technology, ensuring the stability and reliability of wireless communication. The wireless Lora technology generally can support the effective coverage of a wireless network of several kilometers, and the communication quality is stable and reliable.

[0016] Optionally, the mobile network base station unit includes a chip-based mobile controller, a mobile device, and a mobile base station. The mobile controller communicates and exchanges the location marking data and the mobile network base station control signal with the disaster information analysis module. The mobile device is on standby in the area where the disaster information analysis module is located. The mobile controller and the mobile base station are respectively installed on the mobile device. The mobile controller controls the execution actions of the mobile device and the mobile base station.

[0017] By adopting the above technical solutions, the mobile device can theoretically be an electric vehicle, a desert terrain vehicle, or even a drone, etc. However, considering the application scenario, a freight vehicle adapted to the desert environment is generally selected. Since the area where the photovoltaic power station is located must have a road during the construction of the station, the freight vehicle can quickly move to the designated position. The freight vehicle can be controlled by a person and deployed according to the navigation information of the designated deployment position, or it can also be realized by unmanned driving to immediately respond to the deployment request.

[0018] Optionally, the mobile base station includes a battery and a Lora wireless transceiver antenna. The battery and the Lora wireless transceiver antenna are installed on a motorized device. The battery powers the Lora wireless transceiver antenna. The motorized controller controls the execution actions of the Lora wireless transceiver antenna. When the mobile base station moves to the designated deployment location according to the control signal of the motorized controller, the motorized controller controls the Lora wireless transceiver antenna to turn on. The Lora wireless transceiver antenna self-organizes a strong communication area with the fixed communication base station corresponding to the photovoltaic power station closest to the designated deployment location.

[0019] By adopting the above technical solution, the Lora wireless transceiver antenna can be deployed on the cargo box of the freight vehicle of the motorized device, and can be integrally installed and fixed. Of course, a foldable design can also be adopted. It can be folded before deployment to avoid damage during movement, and the Lora wireless transceiver antenna is unfolded after reaching the designated deployment location to turn on and self-organize a strong communication area with the fixed communication base station corresponding to the photovoltaic power station closest to the designated deployment location. The dual base stations reduce the limitation of the coverage range of a single base station by increasing the number of signal emission points. When the two base stations work simultaneously, they can complement each other to form a wider signal coverage area, further improving the stability and strength of the signal.

[0020] Optionally, the intelligent meteorological disaster warning terminal includes a housing, a wireless transceiver antenna, a wireless communication module, a terminal memory, a microprocessor, a circuit board, a display screen, a speaker, and a battery module. The wireless transceiver antenna is installed on the outer wall of the housing and is used to receive the wireless broadcast signal in the strong communication area. The wireless communication module, the terminal memory, and the microprocessor are integrated on the circuit board, and the circuit board is installed in the housing. The wireless communication module is communicatively connected to the wireless transceiver antenna. The terminal memory is communicatively connected to the data output end of the wireless communication module. The microprocessor is communicatively connected to the terminal memory to parse the meteorological disaster warning information. The display screen and the speaker are respectively on the housing. The microprocessor controls the display screen to display the content of the meteorological disaster warning information according to the parsing result of the meteorological disaster warning information, and controls the speaker to perform voice broadcast. The battery module powers the wireless transceiver antenna, the wireless communication module, the terminal memory, the microprocessor, the circuit board, the display screen, and the speaker respectively.

[0021] Optionally, the intelligent meteorological disaster warning terminal further includes an audible and visual alarm, and the microprocessor controls the execution actions of the audible and visual alarm.

[0022] By adopting the above technical solution, the intelligent meteorological disaster early warning terminal receives the broadcast gale and sandstorm disaster early warning information through the wireless transceiver antenna. The received early warning information is stored in the terminal memory. The microprocessor reads the early warning information from the terminal memory and parses its content, including the disaster type, sandstorm starting time, duration, sand passing area, etc. The microprocessor controls the display screen to display the parsed content of the meteorological disaster early warning information. The microprocessor controls the speaker to conduct voice broadcast to remind users to pay attention to the disaster risk. The microprocessor controls the audible and visual alarm to execute the alarm action and adjusts the alarm intensity according to the early warning level (such as mild, moderate, severe). It realizes a more accurate early warning broadcast of gale and sandstorm risk disasters.

[0023] The intelligent meteorological disaster early warning method for desert photovoltaic power generation adopts the intelligent meteorological disaster early warning system for desert photovoltaic power generation to conduct gale and sandstorm risk disaster early warning for multiple photovoltaic power stations within a regional scope, including the following steps:

[0024] Step 1: Real-time collect the meteorological data of the desert photovoltaic area through the ground meteorological observation station, obtain the sand dust concentration and sand dust movement trajectory information of the desert area through satellite remote sensing technology, and fuse the meteorological observation network data and satellite remote sensing information to generate comprehensive meteorological disaster early warning data;

[0025] Step 2: Clean and standardize the comprehensive meteorological disaster early warning data to remove noise and outliers; adopt the support vector machine and deep learning algorithms to analyze the comprehensive meteorological disaster early warning data, identify gale and sandstorm risk disasters, and interact the gale and sandstorm risk disaster data with the meteorological disaster information early warning network unit;

[0026] Step 3: The meteorological disaster information early warning network unit extracts the wind direction information of the gale and sandstorm risk disaster and the location of the disaster area, and matches the location of the disaster area with the locations of all photovoltaic power stations in the preset electronic map; mark the locations of the successfully matched photovoltaic power stations to generate location marking data;

[0027] Step 4: The meteorological disaster information early warning network unit generates a mobile network base station control signal based on the wind direction information of the gale and sandstorm risk disaster. The mobile network base station unit moves to the designated deployment position outside the disaster area according to the location marking data and the mobile network base station control signal;

[0028] Step 5: The mobile network base station unit conducts wireless self-organizing networking with the fixed communication base station to construct a strong communication area;

[0029] Step 6: The information broadcast module obtains the location marking data from the disaster information analysis module, and broadcasts the location marking data and the meteorological disaster early warning information to the meteorological disaster intelligent early warning terminals within the strong communication area through wireless LoRa technology;

[0030] Step 7, the intelligent meteorological disaster early warning terminal receives the broadcast meteorological disaster early warning information through the wireless transceiver antenna, stores the received early warning information in the terminal memory, and the microprocessor reads the high wind and sandstorm risk disaster early warning from the terminal memory and parses the content, including the disaster type, sandstorm starting time, duration, and sand passing area;

[0031] Step 8, the microprocessor controls the display screen to display the parsed meteorological disaster early warning information content; the microprocessor controls the speaker to perform voice broadcast to remind users to pay attention to the disaster risk.

[0032] It also includes Step 9, the microprocessor controls the audible and visual alarm to perform the alarm action and adjusts the alarm intensity according to the early warning level.

[0033] Optionally, in Step 4, the method for determining the designated deployment location outside the disaster area is as follows:

[0034] Based on the wind direction information and the location of the disaster area of the high wind and sandstorm risk disaster extracted by the disaster information analysis module, determine the boundary of the disaster area; use geographic information system technology combined with an electronic map to draw the scope of the disaster area, predict the diffusion direction and scope of the sandstorm according to the wind direction information, use the wind field model to simulate the movement trajectory of the sandstorm, and determine the area to be covered by the sandstorm; according to the theoretical value of the communication coverage radius of the mobile network base station unit and the area to be covered by the sandstorm, predict the designated deployment location of the mobile network base station unit to ensure that after the mobile network base station unit reaches the designated deployment location, the wireless communication covers the entire disaster area and forms an ad hoc network with the fixed communication base station at the photovoltaic power station within the area to be covered by the sandstorm.

[0035] By adopting the above technical solutions, in order to ensure that the mobile network base station unit can effectively cover the disaster area and form an ad hoc network with the fixed communication base station, it is necessary to scientifically and reasonably determine the designated deployment location based on the wind direction information, the disaster area boundary, and the communication coverage radius extracted by the disaster information analysis module. The following are the specific calculation steps and methods:

[0036] The wind direction information and the location of the disaster area of the high wind and sandstorm risk disaster extracted by the disaster information analysis module. Use geographic information system (GIS) technology, combined with an electronic map, to draw the boundary of the disaster area. Determine the core range and diffusion range of the disaster area according to the sand dust concentration and movement trajectory data. The boundary coordinates of the disaster area (such as the polygon vertex coordinates).

[0037] Input data: wind direction information (such as wind direction angle, wind speed). Disaster area boundary coordinates.

[0038] Use the wind field model (such as the CFD model) to simulate the movement trajectory of the sandstorm. Predict the diffusion direction and scope of the sandstorm according to the wind direction and wind speed.

[0039] The area range to be covered by sand dust (such as the boundary coordinates of the diffusion area). The communication coverage radius of the mobile network base station unit. The theoretical value of the communication coverage radius of the mobile network base station unit (based on LoRa technology, usually several kilometers).

[0040] According to the actual communication conditions in the desert environment (such as terrain, sand dust concentration), appropriately adjust the theoretical coverage radius. For example, halve it to obtain the actual communication coverage radius R of the mobile network base station unit;

[0041] According to the wind direction information, preferentially select the deployment location on the upwind side of the sand dust diffusion path. Ensure that the distance between the specified deployment location and the fixed communication base station does not exceed R to form an ad hoc network.

[0042] The mobile network base station unit obtains the coordinates of the specified deployment location.

[0043] The mobile network base station unit performs path planning based on the current position coordinates and the specified deployment location coordinates. Using the path planning algorithm, plan the optimal path from the current position to the specified deployment location for the mobile network base station unit.

[0044] Consider the actual communication signal strength after the mobile network base station unit reaches the specified deployment location. Test the communication signal strength between the mobile network base station unit and the fixed communication base station. If the signal strength is insufficient, fine-tune the base station position until the signal strength meets the requirements. Finally, determine the deployment location of the mobile network base station unit.

[0045] In summary, the present invention includes at least one of the following beneficial technical effects:

[0046] The present invention can provide a desert photovoltaic meteorological disaster intelligent early warning system and method. The desert photovoltaic meteorological disaster intelligent early warning system realizes real-time monitoring, intelligent identification, and timely early warning of strong wind and sand dust disasters in the desert photovoltaic area through multi-source data fusion, intelligent algorithm analysis, wireless communication network construction, and terminal early warning execution. Based on the identification results of strong wind and sand dust risk disasters, the meteorological disaster information early warning network unit broadcasts the early warning information to the meteorological disaster intelligent early warning terminals within the strong communication area through the wireless communication network. The meteorological disaster intelligent early warning terminal can receive, analyze, and display the early warning information in real time, and remind users of the disaster risk through voice broadcast and sound and light alarm, providing timely and intuitive early warning services.

[0047] The meteorological disaster information early warning network unit establishes a wireless communication network in the desert photovoltaic area and establishes a strong communication area based on the mobile network base station unit at the photovoltaic power station. The system can ensure stable coverage of the early warning information and subsequent communication of the photovoltaic power station within the disaster predicted coverage area in the case of gradually increasing strong wind and sand dust, avoiding communication interruption caused by the influence of sand dust on the early warning information.

[0048] The intelligent early warning system for desert photovoltaic meteorological disasters realizes real-time monitoring, intelligent identification, and timely early warning of strong wind and sand disasters through multi-source data fusion, intelligent algorithm analysis, wireless communication network construction, and terminal early warning execution. This system has the advantages of high early warning accuracy, reliable information transmission, timely alarm service, and strong system flexibility. It can effectively ensure the safe operation of desert photovoltaic power plants, reduce disaster losses, and has significant technical effects and application values. Brief Description of the Drawings

[0049] Figure 1 It is a schematic diagram of the component communication connection of the intelligent early warning system for desert photovoltaic meteorological disasters of the present invention;

[0050] Figure 2 It is a schematic diagram of the component communication connection of the intelligent early warning terminal for meteorological disasters of the intelligent early warning system for desert photovoltaic meteorological disasters of the present invention;

[0051] Figure 3 It is a schematic diagram of the appearance of the intelligent early warning terminal for meteorological disasters of the intelligent early warning system for desert photovoltaic meteorological disasters of the present invention.

[0052] Description of the reference numerals: 1, intelligent early warning server for meteorological disasters; 21, data switch; 22, data buffer; 23, disaster information analysis module; 24, information broadcast module; 25, fixed communication base station; 26, mobile network base station unit; 261, mobile controller; 262, mobile device; 263, mobile base station; 3, intelligent early warning terminal for meteorological disasters; 31, housing; 32, wireless transceiver antenna; 33, wireless communication module; 34, terminal memory; 35, microprocessor; 36, circuit board; 37, display screen; 38, speaker; 39, audible and visual alarm; 100, photovoltaic power station; 101, strong communication area. Detailed Description of the Embodiments

[0053] The following further describes the present invention in detail with reference to the accompanying drawings.

[0054] The embodiments of the present invention disclose an intelligent early warning system and method for desert photovoltaic meteorological disasters.

[0055] Refer to Figures 1 - 3, Embodiment 1, Desert Photovoltaic Meteorological Disaster Intelligent Early Warning System, which includes a desert meteorological disaster intelligent early warning server 1, a meteorological disaster information early warning network unit, and multiple meteorological disaster intelligent early warning terminals 3. The desert meteorological disaster intelligent early warning server 1 fuses the meteorological observation network data with satellite remote sensing information, uses support vector machine and deep learning algorithms to analyze and identify the high wind and sandstorm risk disasters in the desert photovoltaic area, and generates meteorological disaster early warning information based on the identification results of the high wind and sandstorm risk disasters. The meteorological disaster information early warning network unit establishes a wireless communication network in the desert photovoltaic area, and based on the mobile network base station unit 26 at the photovoltaic power station 100, establishes a strong communication area 101. The data input end of the meteorological disaster information early warning network unit is communicatively connected to the meteorological disaster early warning information output end of the desert meteorological disaster intelligent early warning server 1. Multiple meteorological disaster intelligent early warning terminals 3 are respectively located within the strong communication area 101 of the photovoltaic power station 100. Multiple meteorological disaster intelligent early warning terminals 3 are respectively wirelessly communicatively connected to the information broadcasting module 23 of the meteorological disaster information early warning network unit through the wireless network in the strong communication area 101, receive the meteorological disaster early warning information, analyze and display the meteorological disaster early warning information, and at the same time execute an alarm action.

[0056] The desert photovoltaic meteorological disaster intelligent early warning system realizes the real-time monitoring, intelligent identification, and timely early warning of high wind and sandstorm disasters in the desert photovoltaic area through multi-source data fusion, intelligent algorithm analysis, wireless communication network construction, and terminal early warning execution. The ground meteorological observation station collects the meteorological data of the desert photovoltaic area in real time, including wind speed, wind direction, temperature, humidity, air pressure, etc. The satellite remote sensing technology obtains information such as the dust concentration and dust movement trajectory in the desert area. The desert meteorological disaster intelligent early warning server 1 fuses the meteorological observation network data with the satellite remote sensing information to generate comprehensive meteorological disaster early warning data. The fused data is cleaned and standardized to remove noise and outliers. Support vector machine (SVM) and deep learning algorithms are used to analyze the comprehensive meteorological disaster early warning data to identify high wind and sandstorm risk disasters. The wind direction information and the location of the disaster area of the high wind and sandstorm risk disasters are extracted. Based on the identification results of the high wind and sandstorm risk disasters, meteorological disaster early warning information is generated, including disaster type, sand raising time, duration, and sand passing area. The meteorological disaster information early warning network unit broadcasts the early warning information to the meteorological disaster intelligent early warning terminals 3 within the strong communication area 101 through a wireless communication network (such as LoRa technology). The meteorological disaster intelligent early warning terminal 3 can receive, analyze, and display the early warning information in real time, and remind users of the disaster risk through voice broadcast and sound and light alarm, providing timely and intuitive early warning services.

[0057] The meteorological disaster information early warning network unit establishes a wireless communication network in the desert photovoltaic area, and based on the mobile network base station unit 26 at the photovoltaic power station 100, a strong communication area 101 is established. The system can ensure stable coverage of the early warning information of the photovoltaic power station and subsequent communication in the disaster predicted coverage area under the condition that the strong wind and sand gradually increase, and avoid communication interruption caused by the influence of sand and dust on the early warning information.

[0058] The intelligent early warning system for meteorological disasters in desert photovoltaic areas realizes real-time monitoring, intelligent identification and timely early warning of strong wind and sand disasters through multi-source data fusion, intelligent algorithm analysis, wireless communication network construction and terminal early warning execution. This system has the advantages of high early warning accuracy, reliable information transmission, timely alarm service, strong system flexibility, etc., can effectively ensure the safe operation of desert photovoltaic power plants, reduce disaster losses, and has significant technical effects and application values.

[0059] Embodiment 2: The meteorological disaster information early warning network unit includes a data switch 21, a data buffer 22, a disaster information analysis module 23 based on a computer, an information broadcast module 24, multiple fixed communication base stations 25 and a mobile network base station unit 26. The data input end of the data switch 21 communicates and exchanges meteorological disaster early warning information with the meteorological disaster early warning information output end of the desert meteorological disaster intelligent early warning server 1. The data buffer 22 communicates and exchanges meteorological disaster early warning information with the data switch 21. The disaster information analysis module 23 is communicatively connected to the data buffer 22, analyzes the meteorological disaster early warning information, obtains the wind direction information of the strong wind and sand risk disaster and the location of the disaster area, and performs disaster early warning matching based on the location of the photovoltaic power station 100 in the preset electronic map, marks the location of the successfully matched photovoltaic power station 100, generates a mobile network base station control signal based on the wind direction information of the strong wind and sand risk disaster. The information broadcast module 24 exchanges location marking data with the disaster information analysis module 23. Multiple fixed communication base stations 25 are respectively set at the physical center points of the photovoltaic power station 100. Multiple fixed communication base stations 25 are respectively wirelessly communicatively connected to the information broadcast module 24 and form a wireless ad hoc network. The mobile network base station unit 26 communicates and exchanges location marking data and mobile network base station control signals with the disaster information analysis module 23, moves to the periphery of the location marking data based on the location marking data, and the mobile network base station unit 26 constructs a strong communication area 101 with the fixed communication base station 25 at the location of the location marking data through wireless ad hoc networking.

[0060] Embodiment 3: The disaster information analysis module 23 is a computer, and the information broadcast module 24 and the wireless networks of multiple fixed communication base stations 25 and the mobile network base station unit 26 are realized based on the wireless Lora technology.

[0061] The intelligent early warning server 1 for desert meteorological disasters is a computer server similar to a meteorological center. The intelligent early warning server 1 for desert meteorological disasters sends meteorological disaster early warning information to the meteorological disaster information early warning network unit. The data switch 21 receives the early warning information and stores it in the data buffer 22. The information broadcast module 24 obtains the early warning information from the data buffer 22 and generates location marking data according to the location of the disaster area. The information broadcast module 24 sends the location marking data and the mobile network base station control signal to the mobile network base station unit 26. A plurality of fixed communication base stations 25 are respectively set at the physical center points of the photovoltaic power station 100 and are wirelessly communicatively connected to the information broadcast module 24 to form a wireless ad hoc network. The mobile network base station unit 26 moves to the periphery of the location marking data according to the location marking data and the mobile network base station control signal and performs wireless ad hoc networking with the fixed communication base station 25 at the location where the location marking data is located to construct a strong communication area 101.

[0062] A plurality of intelligent early warning terminals 3 for meteorological disasters are respectively located in the strong communication area 101 of the photovoltaic power station 100 and are connected to the information broadcast module 24 through a wireless network.

[0063] The mobile network base station unit 26 can be maneuvered to different positions as needed to avoid areas strongly affected by strong winds and sandstorms, and form an ad hoc network with the fixed communication base stations 25 within the area expected to be covered by the strong wind and sandstorm disasters, strengthening the wireless network in this area, that is, forming a strong communication area 101. Wireless communication within the strong communication area can be guaranteed to ensure that the intelligent early warning terminals 3 for meteorological disasters within the area expected to be covered by the strong wind and sandstorm disasters can all receive the early warning information of the strong wind and sandstorm disasters in a timely manner. The wireless network of the information broadcast module 24 with a plurality of fixed communication base stations 25 and the mobile network base station unit 26 is implemented based on the wireless Lora technology to ensure the stability and reliability of wireless communication. The wireless Lora technology generally can support the effective coverage of a wireless network of several kilometers, and the communication quality is stable and reliable.

[0064] Embodiment 4, the mobile network base station unit 26 includes a chip-based mobile controller 261, a mobile device 262 and a mobile base station 263. The mobile controller 261 communicates and exchanges the location marking data and the mobile network base station control signal with the disaster information analysis module 23. The mobile device 262 is on standby in the area where the disaster information analysis module 23 is located. The mobile controller 261 and the mobile base station 263 are respectively installed on the mobile device 262, and the mobile controller 261 controls the execution actions of the mobile device 262 and the mobile base station 263.

[0065] The mobile device 262 can theoretically be an electric vehicle, an off-road vehicle for desert terrain, or even a drone, etc. However, considering the application scenario, a freight vehicle adapted to the desert environment is generally selected. Since the area where the photovoltaic power station 100 is located must have a road during the construction of the station, the freight vehicle can quickly move to the designated position. The freight vehicle can be controlled by a person and deployed according to the navigation information of the designated deployment position, or it can also achieve an immediate response to the deployment request by using unmanned driving.

[0066] Embodiment 5, the mobile base station 263 includes a battery and a Lora wireless transceiver antenna. The battery and the Lora wireless transceiver antenna are installed on the mobile device 262. The battery powers the Lora wireless transceiver antenna. The mobile controller 261 controls the execution actions of the Lora wireless transceiver antenna. When the mobile base station 263 moves to the designated deployment position according to the control signal of the mobile controller 261, the mobile controller 261 controls the Lora wireless transceiver antenna to turn on. The Lora wireless transceiver antenna forms a strong communication area 101 through self-organizing networking with the fixed communication base station 25 corresponding to the photovoltaic power station 100 closest to the designated deployment position.

[0067] The Lora wireless transceiver antenna can be deployed on the cargo box of the freight vehicle of the mobile device 262 and can be integrally installed and fixed. Of course, it can also adopt a foldable design, fold it before deployment to avoid damage during movement, and unfold the Lora wireless transceiver antenna after reaching the designated deployment position to turn on and form a strong communication area 101 through self-organizing networking with the fixed communication base station 25 corresponding to the photovoltaic power station 100 closest to the designated deployment position. By increasing the number of signal emission points, the limitations of the coverage range of a single base station are reduced for the two base stations. When the two base stations work simultaneously, they can complement each other to form a wider signal coverage area, further improving the stability and strength of the signal.

[0068] Embodiment 6. The intelligent meteorological disaster warning terminal 3 includes a housing 31, a wireless transceiver antenna 32, a wireless communication module 33, a terminal memory 34, a microprocessor 35, a circuit board 36, a display screen 37, a speaker 38 and a battery module. The wireless transceiver antenna 32 is installed on the outer wall of the housing 31 and is used to receive the wireless broadcast signal of the strong communication area 101. The wireless communication module 33, the terminal memory 34 and the microprocessor 35 are integrated on the circuit board 36. The circuit board 36 is installed in the housing 31. The wireless communication module 33 is communicatively connected to the wireless transceiver antenna 32. The terminal memory 34 is communicatively connected to the data output end of the wireless communication module 33. The microprocessor 35 is communicatively connected to the terminal memory 34 to analyze the meteorological disaster warning information. The display screen 37 and the speaker 38 are respectively on the housing 31. The microprocessor 35 controls the display screen 37 to display the content of the meteorological disaster warning information according to the analysis result of the meteorological disaster warning information, and controls the speaker 38 to perform voice broadcast. The battery module supplies power to the wireless transceiver antenna 32, the wireless communication module 33, the terminal memory 34, the microprocessor 35, the circuit board 36, the display screen 37 and the speaker 38 respectively.

[0069] Embodiment 7. The intelligent meteorological disaster warning terminal 3 further includes an audible and visual alarm 39, and the microprocessor 35 controls the execution action of the audible and visual alarm 39.

[0070] The intelligent meteorological disaster warning terminal 3 receives the broadcast strong wind and sand disaster warning information through the wireless transceiver antenna 32. The received warning information is stored in the terminal memory 34. The microprocessor 35 reads the warning information from the terminal memory 34 and analyzes its content, including the disaster type, the sand raising time, the duration, the sand passing area, etc. The microprocessor 35 controls the display screen 37 to display the content of the analyzed meteorological disaster warning information. The microprocessor 35 controls the speaker 38 to perform voice broadcast to remind the user to pay attention to the disaster risk. The microprocessor 35 controls the audible and visual alarm 39 to perform the alarm action and adjusts the alarm intensity according to the warning level (such as mild, moderate, severe). More accurate warning broadcast of strong wind and sand risk disasters is realized.

[0071] Embodiment 8. A method for intelligent warning of desert photovoltaic meteorological disasters. An intelligent warning system for desert photovoltaic meteorological disasters is used to perform strong wind and sand risk disaster warning on multiple photovoltaic power stations 100 within a regional scope, including the following steps:

[0072] Step 1: Collect the meteorological data of the desert photovoltaic area in real time through a ground meteorological observation station, obtain the sand dust concentration and sand dust movement track information of the desert area through satellite remote sensing technology, and fuse the meteorological observation network data and the satellite remote sensing information to generate comprehensive meteorological disaster warning data;

[0073] Step 2: Clean and standardize the comprehensive meteorological disaster warning data to remove noise and outliers; use support vector machines and deep learning algorithms to analyze the comprehensive meteorological disaster warning data, identify the high wind and sandstorm risk disasters, and interact with the meteorological disaster information warning network unit for the high wind and sandstorm risk disaster data;

[0074] Step 3: The meteorological disaster information warning network unit extracts the wind direction information and the location of the disaster area of the high wind and sandstorm risk disaster, and matches the location of the disaster area with all the photovoltaic power station 100 locations in the preset electronic map; mark the locations of the successfully matched photovoltaic power stations 100 to generate location marking data;

[0075] Step 4: The meteorological disaster information warning network unit generates a mobile network base station control signal based on the wind direction information of the high wind and sandstorm risk disaster. The mobile network base station unit 26 moves to the designated deployment location outside the disaster area according to the location marking data and the mobile network base station control signal;

[0076] Step 5: The mobile network base station unit 26 performs wireless ad hoc networking with the fixed communication base station 25 to construct a strong communication area 101;

[0077] Step 6: The information broadcast module 24 obtains the location marking data from the disaster information analysis module 23, and broadcasts the location marking data and the meteorological disaster warning information to the meteorological disaster intelligent warning terminals 3 within the strong communication area 101 through wireless LoRa technology;

[0078] Step 7: The meteorological disaster intelligent warning terminal 3 receives the broadcast meteorological disaster warning information through the wireless transceiver antenna 32, stores the received warning information in the terminal memory 34, and the microprocessor 35 reads the high wind and sandstorm risk disaster warning from the terminal memory 34 and parses the content, including the disaster type, sand rising time, duration, and sand passing area;

[0079] Step 8: The microprocessor 35 controls the display screen 37 to display the parsed content of the meteorological disaster warning information; the microprocessor 35 controls the speaker 38 to perform voice broadcast to remind the user to pay attention to the disaster risk.

[0080] Embodiment 9 further includes Step 9: The microprocessor 35 controls the audible and visual alarm 39 to perform an alarm action and adjusts the alarm intensity according to the warning level.

[0081] Embodiment 10: In Step 4, the method for determining the designated deployment location outside the disaster area is as follows:

[0082] Based on the wind direction information and the location of the disaster area of the strong wind and sand dust risk disaster extracted by the disaster information analysis module 23, determine the boundary of the disaster area; use geographic information system technology combined with an electronic map to draw the scope of the disaster area, predict the diffusion direction and scope of the sand dust according to the wind direction information, use a wind field model to simulate the movement trajectory of the sand dust, and determine the area to be covered by the sand dust; according to the theoretical value of the communication coverage radius of the mobile network base station unit 26 and the area to be covered by the sand dust, predict the designated deployment location of the mobile network base station unit 26, ensure that after the mobile network base station unit 26 reaches the designated deployment location, the wireless communication covers the entire disaster area, and forms a self-organizing network with the fixed communication base station 25 at the photovoltaic power station 100 within the area to be covered by the sand dust.

[0083] In order to ensure that the mobile network base station unit 26 can effectively cover the disaster area and form a self-organizing network with the fixed communication base station 25, it is necessary to scientifically and reasonably determine the designated deployment location based on the wind direction information, the disaster area boundary, and the communication coverage radius extracted by the disaster information analysis module 23. The following are the specific calculation steps and methods:

[0084] The wind direction information and the location of the disaster area of the strong wind and sand dust risk disaster extracted by the disaster information analysis module 23. Use geographic information system (GIS) technology, combined with an electronic map, to draw the boundary of the disaster area. Determine the core scope and diffusion scope of the disaster area according to the sand dust concentration and movement trajectory data. The boundary coordinates of the disaster area (such as the polygon vertex coordinates).

[0085] Input data: Wind direction information (such as wind direction angle, wind speed). Disaster area boundary coordinates.

[0086] Use a wind field model (such as the CFD model) to simulate the movement trajectory of the sand dust. Predict the diffusion direction and scope of the sand dust according to the wind direction and wind speed.

[0087] The area scope to be covered by the sand dust (such as the boundary coordinates of the diffusion area). Calculate the communication coverage radius of the mobile network base station unit 26. The theoretical value of the communication coverage radius of the mobile network base station unit 26 (based on LoRa technology, usually several kilometers).

[0088] According to the actual communication conditions in the desert environment (such as terrain, sand dust concentration), appropriately adjust the theoretical coverage radius, for example, halve it to obtain the actual communication coverage radius R of the mobile network base station unit 26;

[0089] According to the wind direction information, preferentially select the deployment location on the upwind side of the sand dust diffusion path. Ensure that the distance between the designated deployment location and the fixed communication base station 25 does not exceed R to form a self-organizing network.

[0090] The mobile network base station unit 26 obtains the designated deployment location coordinates.

[0091] The mobile network base station unit 26 performs path planning based on the current position coordinates and the specified deployment position coordinates, and uses a path planning algorithm to plan the optimal path from the current position to the specified deployment position for the mobile network base station unit 26.

[0092] Consider the actual communication signal strength after the mobile network base station unit 26 reaches the specified deployment position. Test the communication signal strength between the mobile network base station unit 26 and the fixed communication base station 25. If the signal strength is insufficient, fine-tune the base station position until the signal strength meets the requirements. Finally, determine the deployment position of the mobile network base station unit 26.

[0093] The above are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, all equivalent changes made according to the structure, shape, and principle of the present invention should be covered within the protection scope of the present invention.

Claims

1. Desert photovoltaic meteorological disaster intelligent early warning system, characterized by: The invention comprises a desert meteorological disaster intelligent warning server (1), a meteorological disaster information warning network unit and a plurality of meteorological disaster intelligent warning terminals (3). The desert meteorological disaster intelligent warning server (1) integrates meteorological observation network data with satellite remote sensing information, adopts support vector machine and deep learning algorithm to analyze and identify the wind and dust risk disaster in the desert photovoltaic area, and generates meteorological disaster warning information based on the wind and dust risk disaster identification result. The meteorological disaster information warning network unit establishes a wireless communication network in the desert photovoltaic area, and establishes a strong communication area (101) at the photovoltaic power station (100) based on a mobile network base station unit (26). The data input end of the meteorological disaster information warning network unit is connected to the meteorological disaster warning information output end of the desert meteorological disaster intelligent warning server (1). The plurality of meteorological disaster intelligent warning terminals (3) are respectively located in the strong communication area (101) of the photovoltaic power station (100). The plurality of meteorological disaster intelligent warning terminals (3) are connected to the information broadcasting module (23) of the meteorological disaster information warning network unit based on the wireless network of the strong communication area (101) for wireless communication, receive meteorological disaster warning information, analyze and display the meteorological disaster warning information, and perform alarm actions at the same time.

2. The desert photovoltaic meteorological disaster intelligent early warning system according to claim 1 is characterized by: The meteorological disaster information warning network unit comprises a data switch (21), a data buffer (22), a computer-based disaster information analysis module (23), an information broadcast module (24), a plurality of fixed communication base stations (25) and a mobile network base station unit (26); the data input terminal of the data switch (21) communicates and exchanges meteorological disaster warning information with the meteorological disaster warning information output terminal of the desert meteorological disaster intelligent warning server (1); the data buffer (22) communicates and exchanges meteorological disaster warning information with the data switch (21); the disaster information analysis module (23) is connected to the data buffer (22) for communication, analyzes the meteorological disaster warning information, obtains wind direction information of the gale and dust risk disaster and the location of the disaster area, and performs disaster warning matching based on the location of the photovoltaic power station (100) in the preset electronic map, and performs disaster warning matching on the photovoltaic power station (100). The location of the successfully matched photovoltaic power station (100) is marked, and a mobile network base station control signal is generated based on the wind direction information of the high wind and dust risk disaster. The information broadcast module (24) and the disaster information analysis module (23) exchange the location mark data. A plurality of fixed communication base stations (25) are respectively arranged at the physical center point of the photovoltaic power station (100). The plurality of fixed communication base stations (25) are respectively connected to the information broadcast module (24) by wireless communication to form a wireless ad hoc network. The mobile network base station unit (26) communicates with the disaster information analysis module (23) to exchange the location mark data and the mobile network base station control signal. Based on the location mark data, the mobile network base station unit (26) moves to the periphery of the location mark data. The mobile network base station unit (26) and the fixed communication base station (25) at the location of the location mark data conduct a wireless ad hoc network to build a strong communication area (101).

3. The desert photovoltaic meteorological disaster intelligent early warning system according to claim 2 is characterized by: The disaster information analysis module (23) is a computer, and the wireless network of the information broadcasting module (24) and a plurality of fixed communication base stations (25) and mobile network base station units (26) is implemented based on wireless Lora technology.

4. The desert photovoltaic meteorological disaster intelligent early warning system according to claim 3 is characterized by: The mobile network base station unit (26) includes a chip-based mobile controller (261), a mobile device (262) and a mobile base station (263). The mobile controller (261) communicates with the disaster information analysis module (23) to exchange location mark data and mobile network base station control signals. The mobile device (262) is located in the area where the disaster information analysis module (23) is located and is on standby. The mobile controller (261) and the mobile base station (263) are respectively installed on the mobile device (262). The mobile controller (261) controls the execution actions of the mobile device (262) and the mobile base station (263).

5. The desert photovoltaic meteorological disaster intelligent early warning system according to claim 4 is characterized by: The mobile base station (263) includes a battery and a Lora wireless transceiver antenna, the battery and the Lora wireless transceiver antenna are installed on a mobile device (262), the battery supplies power to the Lora wireless transceiver antenna, the mobile controller (261) controls the execution of the Lora wireless transceiver antenna, and when the mobile base station (263) moves to a designated deployment position according to a control signal of the mobile controller (261), the mobile controller (261) controls the Lora wireless transceiver antenna to turn on, and the Lora wireless transceiver antenna and the fixed communication base station (25) corresponding to the photovoltaic power station (100) closest to the designated deployment position form a self-organized network to form a strong communication area (101).

6. The desert photovoltaic meteorological disaster intelligent early warning system according to claim 5 is characterized by: The meteorological disaster intelligent early warning terminal (3) comprises a housing (31), a wireless transceiver antenna (32), a wireless communication module (33), a terminal memory (34), a microprocessor (35), a circuit board (36), a display screen (37), a speaker (38) and a battery module. The wireless transceiver antenna (32) is mounted on the outer wall of the housing (31) and is used to receive wireless broadcast signals from a strong communication area (101). The wireless communication module (33), the terminal memory (34) and the microprocessor (35) are integrated on the circuit board (36). The circuit board (36) is mounted in the housing (31). The wireless communication module (33) is connected to the wireless transceiver antenna (32) for communication. The terminal memory (34) is communicatively connected to the data output end of the wireless communication module (33); the microprocessor (35) is communicatively connected to the terminal memory (34) to parse the meteorological disaster warning information; the display screen (37) and the speaker (38) are respectively on the housing (31); the microprocessor (35) controls the display screen (37) to display the content of the meteorological disaster warning information according to the analysis result of the meteorological disaster warning information, and controls the speaker (38) to perform voice broadcast; the battery module respectively supplies power to the wireless transceiver antenna (32), the wireless communication module (33), the terminal memory (34), the microprocessor (35), the circuit board (36), the display screen (37) and the speaker (38).

7. The desert photovoltaic meteorological disaster intelligent early warning system according to claim 6 is characterized by: The meteorological disaster intelligent early warning terminal (3) also includes an audible and visual alarm (39), and the microprocessor (35) controls the execution action of the audible and visual alarm (39).

8. An intelligent early warning method for desert photovoltaic meteorological disasters, characterized by: The desert photovoltaic meteorological disaster intelligent early warning system according to claim 7 is used to carry out high wind and dust risk disaster early warning for multiple photovoltaic power stations (100) within a regional range, comprising the following steps: Step 1: collect meteorological data of the desert photovoltaic area in real time through ground meteorological observation stations, obtain sand and dust concentration and sand and dust movement trajectory information in the desert area through satellite remote sensing technology, integrate meteorological observation network data with satellite remote sensing information, and generate comprehensive meteorological disaster warning data; Step 2: Clean and standardize the comprehensive meteorological disaster warning data to remove noise and outliers; use support vector machine and deep learning algorithm to analyze the comprehensive meteorological disaster warning data, identify the risk of strong wind and dust disasters, and exchange the strong wind and dust risk disaster data with the meteorological disaster information warning network unit; Step 3, the meteorological disaster information warning network unit extracts the wind direction information of the gale and dust risk disaster and the location of the disaster area, matches the location of the disaster area with the locations of all photovoltaic power stations (100) in a preset electronic map; marks the location of the photovoltaic power station (100) that has been successfully matched, and generates location mark data; Step 4, the meteorological disaster information warning network unit generates a mobile network base station control signal based on the wind direction information of the high wind and dust risk disaster, and the mobile network base station unit (26) moves to a designated deployment position outside the disaster area according to the position mark data and the mobile network base station control signal; Step 5, the mobile network base station unit (26) and the fixed communication base station (25) conduct wireless ad hoc networking to build a strong communication area (101); Step, the information broadcast module (24) obtains the location mark data from the disaster information analysis module (23), and broadcasts the location mark data and the meteorological disaster warning information to the meteorological disaster intelligent warning terminal (3) in the strong communication area (101) through the wireless LoRa technology; Step 7, the meteorological disaster intelligent early warning terminal (3) receives the broadcasted meteorological disaster early warning information through the wireless transceiver antenna (32), stores the received early warning information in the terminal memory (34), and the microprocessor (35) reads the high wind and sandstorm risk disaster early warning from the terminal memory (34) and analyzes the content, including the disaster type, sandstorm time, duration and sandstorm area; Step 8, the microprocessor (35) controls the display screen (37) to display the analyzed meteorological disaster warning information content; the microprocessor (35) controls the speaker (38) to broadcast voice to remind the user to pay attention to the disaster risk.

9. The intelligent early warning method for desert photovoltaic meteorological disasters according to claim 8 is characterized by: The method further comprises step 9, wherein the microprocessor (35) controls the sound and light alarm (39) to execute an alarm action and adjusts the alarm intensity according to the warning level.

10. The intelligent early warning method for desert photovoltaic meteorological disasters according to claim 8 is characterized by: In step 4, the method for determining the designated deployment location outside the disaster area is: Based on the wind direction information of the high wind and dust risk disaster extracted by the disaster information analysis module (23) and the location of the disaster area, the boundary of the disaster area is determined; the geographic information system technology is combined with an electronic map to draw the scope of the disaster area, and the diffusion direction and range of the dust are predicted based on the wind direction information. The movement trajectory of the dust is simulated using a wind field model to determine the area that the dust will cover; based on the theoretical value of the communication coverage radius of the mobile network base station unit (26) and the area that the dust will cover, the mobile network base station unit (26) is predicted to specify a deployment position, ensuring that after the mobile network base station unit (26) arrives at the specified deployment position, wireless communication covers the entire disaster area and forms an ad hoc network with the fixed communication base station (25) at the photovoltaic power station (100) in the area that the dust will cover.

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