Regional surface rainfall monitoring optimization design method

Abstract

The invention discloses a regional ground rainfall monitoring optimization design method, which relates to the technical field of rainfall monitoring, and comprises the following implementation steps: configuring IP address information of a regional ground remote control region server; entering a multi-point acquisition end, and monitoring regional precipitation in real time; entering a multi-point analysis end, analyzing a regional ground multi-station precipitation difference value in real time, determining a regional ground multi-station precipitation predicted value according to historical data and environmental parameters, and performing color identification according to the predicted value; and entering a trend prediction end, and predicting a regional ground rainfall result in advance in real time by tracking environmental parameters and analyzing historical data in real time. According to the regional ground precipitation monitoring optimization design method, the regional'surface 'precipitation is deduced through multi-point data, the monitoring error of regional ground precipitation is reduced, the situation of uneven distribution of regional ground precipitation monitoring is avoided, and a regional ground precipitation result can be accurately predicted.

Description

Technical Field

[0001] The present invention relates to the technical field of precipitation monitoring, and in particular to an optimization design method for regional ground precipitation monitoring. Background Art

[0002] Regional surface precipitation monitoring is a system used to collect and analyze precipitation data in a specific area. It aims to provide high-resolution precipitation information to support weather forecasts, disaster prevention and management decisions. It uses optimal interpolation technology to combine ground observation data with satellite inversion data to generate precipitation products with high temporal and spatial resolution. This method assigns weights by considering the error structure of ground station and satellite data, thereby introducing more accurate ground data in areas with ground observation stations, which provides detailed ground truth data for precipitation monitoring.

[0003] Application No. CN201510755588.6 discloses a method for optimizing the design of a regional ground subsidence leveling monitoring network, including the network shape optimization and point optimization of the leveling monitoring network. The point optimization method optimizes the point positions of the leveling monitoring network according to the zoning map of comprehensive influencing factors of ground subsidence. The present invention combines surveying and mapping, mathematical statistics and geology, and carries out research on bedrock stability evaluation, network shape optimization and point optimization of the ground subsidence leveling monitoring network, which solves the problems existing in the current leveling monitoring network, is conducive to systematically grasping the stability of the geological structure of the working area, and improving the accuracy of ground subsidence leveling measurement.

[0004] After searching the above patents, it was found that there are still some deficiencies in regional ground precipitation monitoring: 1. Existing monitoring methods mainly rely on ground automatic weather stations. Although these stations provide detailed hourly precipitation data, ground automatic weather stations usually use spatial interpolation methods to extrapolate "point" data to "surface" precipitation, resulting in errors in regional ground precipitation monitoring and affecting the accuracy of regional ground precipitation monitoring; 2. The errors generated in the process of extrapolating representative "point" data to "surface" precipitation using spatial interpolation methods may lead to uneven distribution of regional ground precipitation monitoring, making it difficult to ensure the consistency of regional ground precipitation monitoring; 3. In extreme weather events, such as heavy rains and floods, which pose a threat to ground monitoring facilities, it is impossible to accurately predict regional ground precipitation results, which further leads to deviations in precipitation monitoring, resulting in greater difficulty and uncertainty in precipitation monitoring.

[0005] Therefore, a new regional surface precipitation monitoring optimization design method is proposed to solve the above problems. Summary of the invention

[0006] The main purpose of the present invention is to provide a regional ground precipitation monitoring optimization design method to solve the problems raised in the above background.

[0007] To achieve the above object, the technical solution adopted by the present invention is: a method for optimizing the design of regional ground precipitation monitoring, the method comprising the following implementation steps:

[0008] Step 1: Configure the regional ground remote control regional server IP address information;

[0009] Step 2: Enter the multi-point collection terminal, arrange and analyze the measurement data of precipitation sensors with different resolutions at multiple stations in the same ground area, and monitor the regional precipitation in real time through spatial interpolation and temporal interpolation;

[0010] Step 3: Enter the multi-point analysis terminal, analyze the regional ground multi-station precipitation difference in real time, obtain the regional ground precipitation average, and determine the regional ground multi-station precipitation forecast value based on historical data and environmental parameters, and color-code according to the forecast value;

[0011] Step 4: Enter the trend prediction terminal, and through real-time tracking of environmental parameters and analysis of historical data, the regional ground precipitation measured at the current moment is predicted in advance for the next period of the regional ground precipitation, and the regional ground precipitation results are predicted in real time in advance.

[0012] The multi-point acquisition terminal includes a data acquisition module, a precipitation model module and a resolution tracking module;

[0013] The data acquisition module includes a regional substation unit and a multi-station acquisition unit;

[0014] The regional substation unit is used to create, manage, analyze and map each region through GIS, and divide the region into multiple stations. Multiple stations are equipped with resolution precipitation sensors, and are located and numbered according to GPS;

[0015] The multi-station acquisition unit is used to collect multi-station resolution and precipitation in real time through a data acquisition instrument and a GPS positioning device.

[0016] The precipitation model module includes a precipitation standard model and a disaster level unit;

[0017] The precipitation standard model is used to record the precipitation of each station in the historical data through a data recorder, and set the precipitation standard model according to the current area;

[0018] The disaster level unit is used to record the disasters caused by the precipitation at each site in the historical data through a data recorder, and set the disaster level model according to the current area.

[0019] The resolution tracking module includes a resolution arrangement unit, an interpolation analysis unit and a multi-station display unit;

[0020] The resolution arrangement unit is used to arrange the resolution precipitation sensors collected by multiple stations in sequence;

[0021] The interpolation analysis unit is used to calculate the spatial interpolation analysis situation at the current moment by using the inverse distance weighted method. The calculation formula is as follows:

[0022]

[0023] Among them, Z(so) is the resolution precipitation sensor value of the location to be predicted, Z(si) is the resolution precipitation sensor value of the known sampling point, and d i,o is the distance between the position to be predicted and the i-th sampling point, P is the weight index, usually taking the value as 1;

[0024] The multi-station display unit is used to visualize the calculated resolution precipitation sensor values ​​of the to-be-predicted position in real time through a display screen, and distinguish colors according to color identifiers.

[0025] The multi-point analysis terminal includes an average value module, a historical data module and a multi-station prediction module;

[0026] The averaging value module includes an average value calculation unit and a difference display unit;

[0027] The average value calculation unit is used to calculate the average value of the information of multiple stations in the area, and then calculate the precipitation difference between the average value and the information of each station;

[0028] The difference display unit is used to visually display the precipitation difference of each station in real time through a display screen.

[0029] The historical data module includes a historical data unit and an environmental monitoring unit;

[0030] The historical data unit is used to receive the regional ground monitoring data at the current moment in real time through the data collector, and to record the regional ground monitoring data collected at the current moment in real time through the data recorder;

[0031] The environmental monitoring unit is used to detect the environmental parameters of the corresponding area in real time through earthquake monitoring equipment, landslide monitoring equipment, mud-rock flow monitoring equipment, ground subsidence monitoring equipment and volcanic eruption monitoring equipment, temperature sensors, humidity sensors and light sensors, and monitor the environmental parameters of the ground in the area at the current moment in real time.

[0032] The multi-station prediction module includes a multi-station prediction unit and a color identification unit;

[0033] The multi-station prediction unit is used to perform precipitation prediction based on the environmental parameters of the station measured at the current moment. The prediction method is as follows:

[0034] Step I: Set the environmental standard parameters of the corresponding site and receive the precipitation in the historical period through the data acquisition instrument;

[0035] Step II: Calculate the difference between the environmental parameters of the corresponding station and the environmental standard parameters. If the difference = ±0.1, it is judged that the precipitation is approaching the safe value. If the difference is >0.1 or <-0.1, it is judged that the precipitation exceeds the safe value, and a disaster warning is issued. One week is counted as a cycle. The environmental parameters of the corresponding station in the next cycle are predicted based on the environmental parameters of three cycles. If the average values ​​of the environmental parameters of the three cycles exceed the environmental standard parameters, the precipitation monitoring of the corresponding station is judged to be abnormal, and a dangerous warning information is issued;

[0036] The color identification unit is used to perform color identification through a GIS early warning site when it is determined that precipitation monitoring is abnormal.

[0037] The trend prediction end includes a data tracking module, a data prediction module and a prediction adjustment module;

[0038] The data tracking module includes a historical parameter unit and an environmental parameter unit;

[0039] The historical parameter unit is used to track the historical parameters recorded at the current moment in real time through a data tracker;

[0040] The environmental parameter unit is used to track the environmental parameters recorded at the current moment in real time through a data tracker.

[0041] The data prediction module is used to predict the precipitation of the ground in the area composed of multiple stations in real time through the precipitation prediction values ​​of multiple stations. The prediction method is as follows:

[0042] Calculate the difference between the precipitation forecast values ​​of multiple stations and the average precipitation standard. If the difference = ±

[0043] If the difference is greater than 0.05 or less than -0.05, the precipitation forecast value is judged to be close to the safety value. If the difference is greater than 0.05 or less than -0.05, the precipitation is judged to exceed the safety value, and a disaster warning is issued. One day is taken as one cycle, and the precipitation in the corresponding area of ​​the next cycle is predicted based on the precipitation forecast values ​​of the three cycles. If the average values ​​of the precipitation forecast values ​​of the three cycles all exceed the average value of the precipitation standards, the precipitation monitoring of the ground in the corresponding area is judged to be abnormal, and a danger warning message is issued.

[0044] The prediction adjustment module includes a multi-station adjustment unit and a periodic early warning unit;

[0045] The multi-station adjustment unit is used to adjust the station values ​​where there is an error between the station parameters and the average value parameters in real time, and the adjustment data is determined according to the difference;

[0046] The periodic warning unit is used to track the regional ground precipitation monitoring value at the current moment in real time through a data tracker, and calculate whether the regional ground precipitation monitoring value at the current moment is the same as the predicted value based on the difference. If they are the same, it means that the precipitation monitoring is valid, if they are different, it means that the precipitation monitoring is invalid.

[0047] The present invention has the following beneficial effects:

[0048] 1. In the present invention, by setting up a multi-point collection terminal, when monitoring regional ground precipitation, by real-time monitoring of regional precipitation, the system can collect multi-station information for the region when monitoring regional ground precipitation, and arrange and analyze the measurement data of precipitation sensors with different resolutions at multiple stations in the same ground area, so that the system can infer regional "surface" precipitation from multiple "point" data, reduce the monitoring error of regional ground precipitation, and improve the accuracy of regional ground precipitation monitoring;

[0049] 2. In the present invention, by setting a multi-point analysis terminal, when monitoring regional ground precipitation, the precipitation difference of multiple stations on the regional ground is analyzed in real time, and then color-coded according to the predicted value, so that multiple points on the regional ground can predict precipitation in real time, avoiding the error caused by using the spatial interpolation method to extrapolate the representative "point" data to the "surface" precipitation process, and avoiding the uneven distribution of regional ground precipitation monitoring, which can greatly ensure the consistency of regional ground precipitation monitoring;

[0050] 3. In the present invention, by setting a trend prediction terminal, when monitoring regional ground precipitation, by real-time tracking of environmental parameters and analysis of historical data, the regional ground precipitation results can be predicted in real time in advance, so that the system can reduce the threat posed by precipitation to ground monitoring facilities before extreme weather events occur, and can accurately predict regional ground precipitation results, further reduce the deviation in precipitation monitoring, and reduce the difficulty and uncertainty of precipitation monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is an overall flow chart of a regional ground precipitation monitoring optimization design method of the present invention;

[0052] Figure 2 A schematic diagram of the architecture of a multi-point collection terminal of a regional ground precipitation monitoring optimization design method of the present invention;

[0053] Figure 3 A schematic diagram of the architecture of a multi-point analysis end of a regional ground precipitation monitoring optimization design method of the present invention;

[0054] Figure 4 The present invention is a schematic diagram of the framework of a trend prediction end of a regional ground precipitation monitoring optimization design method. DETAILED DESCRIPTION

[0055] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0056] Embodiment 1

[0057] Please refer to Figure 1 to Figure 2 As shown: A regional ground precipitation monitoring optimization design method includes the following implementation steps:

[0058] Step 1: Configure the regional ground remote control regional server IP address information;

[0059] Step 2: Enter the multi-point collection terminal, arrange and analyze the measurement data of precipitation sensors with different resolutions at multiple stations in the same ground area, and monitor the regional precipitation in real time through spatial interpolation and temporal interpolation;

[0060] Step 3: Enter the multi-point analysis terminal, analyze the regional ground multi-station precipitation difference in real time, obtain the regional ground precipitation average, and determine the regional ground multi-station precipitation forecast value based on historical data and environmental parameters, and color-code according to the forecast value;

[0061] Step 4: Enter the trend prediction terminal, and through real-time tracking of environmental parameters and analysis of historical data, the regional ground precipitation measured at the current moment is predicted in advance for the next period of the regional ground precipitation, and the regional ground precipitation results are predicted in real time in advance.

[0062] The multi-point acquisition terminal includes a data acquisition module, a precipitation model module, and a resolution tracking module;

[0063] The data acquisition module includes a regional substation unit and a multi-station acquisition unit;

[0064] The regional substation unit is used to create, manage, analyze and map each region through GIS, and divide the region into multiple stations. Multiple stations are equipped with high-resolution precipitation sensors, and their positions are located and numbered according to GPS;

[0065] The multi-station acquisition unit is used to collect multi-station resolution and precipitation in real time through data acquisition instruments and GPS positioning equipment.

[0066] The precipitation model module includes precipitation standard model and disaster level unit;

[0067] The precipitation standard model is used to record the precipitation at each station in the historical data through the data logger and set the precipitation standard model according to the current area;

[0068] The disaster level unit is used to record the disasters caused by the precipitation at each station in the historical data through a data recorder, and set the disaster level model according to the current area.

[0069] The resolution tracking module includes a resolution arrangement unit, an interpolation analysis unit and a multi-station display unit;

[0070] The resolution arrangement unit is used to arrange the resolution precipitation sensors collected from multiple stations in sequence;

[0071] The interpolation analysis unit is used to calculate the spatial interpolation analysis situation at the current moment by using the inverse distance weighted method. The calculation formula is as follows:

[0072]

[0073] Among them, Z(so) is the resolution precipitation sensor value of the location to be predicted, Z(si) is the resolution precipitation sensor value of the known sampling point, and d i,o is the distance between the position to be predicted and the i-th sampling point, P is the weight index, usually taking the value as 1;

[0074] The multi-station display unit is used to visualize the calculated resolution precipitation sensor values ​​of the predicted location in real time through the display screen, and distinguish the colors according to the color identification.

[0075] By monitoring regional precipitation in real time, the system can collect information from multiple stations in the region when monitoring regional ground precipitation, then set the precipitation model and disaster level, and arrange and analyze the measurement data of precipitation sensors with different resolutions at multiple stations in the same ground area. The spatial interpolation method used by the ground automatic weather station can be used to infer the regional "surface" precipitation from multiple "point" data, thereby reducing the monitoring error of regional ground precipitation and improving the accuracy of regional ground precipitation monitoring.

[0076] Embodiment 2

[0077] Please refer to Figure 3 As shown: Based on the first embodiment, the multi-point analysis terminal includes an average value module, a historical data module and a multi-station prediction module;

[0078] The averaging module includes an average value calculation unit and a difference display unit;

[0079] The average value calculation unit is used to calculate the average value of the information of multiple stations in the area, and then calculate the precipitation difference between the average value and the information of each station;

[0080] The difference display unit is used to visualize the precipitation difference of each station in real time through the display screen.

[0081] The historical data module includes a historical data unit and an environmental monitoring unit;

[0082] The historical data unit is used to receive the regional ground monitoring data at the current moment in real time through the data collector, and to record the regional ground monitoring data collected at the current moment in real time through the data recorder;

[0083] The environmental monitoring unit is used to detect the environmental parameters of the corresponding area in real time through earthquake monitoring equipment, landslide monitoring equipment, mud and rock flow monitoring equipment, ground subsidence monitoring equipment and volcanic eruption monitoring equipment, temperature sensors, humidity sensors and light sensors, and monitor the environmental parameters of the ground in the current area in real time.

[0084] The multi-station prediction module includes a multi-station prediction unit and a color identification unit;

[0085] The multi-station prediction unit is used to make precipitation predictions based on the environmental parameters of the station measured at the current moment. The prediction method is as follows:

[0086] Step I: Set the environmental standard parameters of the corresponding site and receive the precipitation in the historical period through the data acquisition instrument;

[0087] Step II: Calculate the difference between the environmental parameters of the corresponding station and the environmental standard parameters. If the difference = ±0.1, it is judged that the precipitation is approaching the safe value. If the difference is >0.1 or <-0.1, it is judged that the precipitation exceeds the safe value, and a disaster warning is issued. One week is counted as a cycle. The environmental parameters of the corresponding station in the next cycle are predicted based on the environmental parameters of three cycles. If the average values ​​of the environmental parameters of the three cycles exceed the environmental standard parameters, the precipitation monitoring of the corresponding station is judged to be abnormal, and a dangerous warning information is issued;

[0088] The color identification unit is used to perform color identification through the GIS early warning site when it is judged that the precipitation monitoring is abnormal.

[0089] By analyzing the difference in precipitation at multiple regional ground stations in real time and obtaining the average regional ground precipitation, the regional ground multi-station precipitation forecast values ​​are determined based on historical data and environmental parameters, and color coding is performed according to the forecast values. This allows multiple points on the regional ground to be able to predict precipitation in real time, avoiding the errors caused by using spatial interpolation methods to extrapolate representative "point" data to "surface" precipitation. At the same time, it avoids uneven distribution of regional ground precipitation monitoring, which can greatly ensure the consistency of regional ground precipitation monitoring.

[0090] Embodiment 3

[0091] Please refer to Figure 4 As shown: Based on the first embodiment, the trend prediction end includes a data tracking module, a data prediction module and a prediction adjustment module;

[0092] The data tracking module includes a historical parameter unit and an environmental parameter unit;

[0093] The historical parameter unit is used to track the historical parameters recorded at the current moment in real time through the data tracker;

[0094] The environmental parameter unit is used to track the environmental parameters recorded at the current moment in real time through a data tracker.

[0095] The data prediction module is used to predict the precipitation in the area composed of multiple stations in real time through the precipitation prediction values ​​of multiple stations. The prediction method is as follows:

[0096] Calculate the difference between the precipitation forecast values ​​of multiple stations and the average precipitation standard. If the difference = ±

[0097] If the difference is greater than 0.05 or less than -0.05, the precipitation forecast value is judged to be close to the safety value. If the difference is greater than 0.05 or less than -0.05, the precipitation is judged to exceed the safety value, and a disaster warning is issued. One day is taken as one cycle, and the precipitation in the corresponding area of ​​the next cycle is predicted based on the precipitation forecast values ​​of the three cycles. If the average values ​​of the precipitation forecast values ​​of the three cycles all exceed the average value of the precipitation standards, the precipitation monitoring of the ground in the corresponding area is judged to be abnormal, and a danger warning message is issued.

[0098] The prediction and adjustment module includes a multi-station adjustment unit and a periodic early warning unit;

[0099] The multi-station adjustment unit is used to adjust the station values ​​where there is an error between the station parameters and the average value parameters in real time, and the adjustment data is determined according to the difference;

[0100] The periodic warning unit is used to track the regional ground precipitation monitoring value at the current moment in real time through a data tracker, and calculate whether the regional ground precipitation monitoring value at the current moment is the same as the predicted value based on the difference. If they are the same, it means that the precipitation monitoring is valid, if they are different, it means that the precipitation monitoring is invalid.

[0101] By real-time tracking of environmental parameters and analysis of historical data, the regional ground precipitation measured at the current moment can be predicted in advance for the next period of the regional ground precipitation. The regional ground precipitation results can be predicted in real time in advance. This enables the system to take precautions against heavy rains and floods before extreme weather events occur, reduce the threat posed by precipitation to ground monitoring facilities, accurately predict regional ground precipitation results, further reduce deviations in precipitation monitoring, and reduce the difficulty and uncertainty of precipitation monitoring.

[0102] In the present invention, a method for optimizing the design of regional ground precipitation monitoring is provided. First, the IP address information of the regional ground remote control regional server is configured; the multi-point acquisition terminal is entered, and the measurement data of precipitation sensors with different resolutions at multiple stations in the same ground area are arranged and sorted out and analyzed, and the regional precipitation is monitored in real time through spatial interpolation and temporal interpolation. When monitoring the regional ground precipitation, the regional precipitation is monitored in real time, so that the system can collect multi-station information for the region when monitoring the regional ground precipitation, and then set the precipitation model and disaster level, and perform real-time monitoring of the regional precipitation sensors with different resolutions at multiple stations in the same ground area. The measured data are arranged in sequence and analyzed, so that the spatial interpolation method adopted by the ground automatic weather station can be used to infer the regional "surface" precipitation from multiple "point" data, thereby reducing the monitoring error of regional ground precipitation and improving the accuracy of regional ground precipitation monitoring; entering the multi-point analysis terminal, the regional ground precipitation difference is analyzed in real time to obtain the regional ground precipitation average value, and the regional ground precipitation forecast value is determined based on historical data and environmental parameters, and color-coded according to the forecast value. When monitoring regional ground precipitation, the regional ground precipitation difference is analyzed in real time to obtain the regional ground precipitation average value. The system uses the historical data and environmental parameters to determine the regional ground multi-station precipitation forecast values, and uses color marking according to the forecast values, so that multiple points in the regional ground can predict precipitation in real time, avoiding the error caused by using the spatial interpolation method to extrapolate the representative "point" data to the "surface" precipitation process, and avoiding the uneven distribution of regional ground precipitation monitoring, which can greatly ensure the consistency of regional ground precipitation monitoring; enter the trend prediction end, through real-time tracking of environmental parameters and analysis of historical data, the regional ground precipitation measured at the current moment is predicted in advance in real time for the next period of the region Ground precipitation, real-time advance prediction of regional ground precipitation results. When monitoring regional ground precipitation, real-time tracking of environmental parameters and analysis of historical data are used to predict the regional ground precipitation of the next period based on the regional ground precipitation measured at the current moment. Real-time advance prediction of regional ground precipitation results enables the system to take precautions against heavy rain and floods before extreme weather events occur, reduce the threat posed by precipitation to ground monitoring facilities, accurately predict regional ground precipitation results, further reduce deviations in precipitation monitoring, and reduce the difficulty and uncertainty of precipitation monitoring.

[0103] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for optimizing the design of regional surface precipitation monitoring, characterized in that: The method comprises the following implementation steps: Step 1: Configure the regional ground remote control regional server IP address information; Step 2: Enter the multi-point collection terminal, arrange and analyze the measurement data of precipitation sensors with different resolutions at multiple stations in the same ground area, and monitor the regional precipitation in real time through spatial interpolation and temporal interpolation; Step 3: Enter the multi-point analysis terminal, analyze the regional ground multi-station precipitation difference in real time, obtain the regional ground precipitation average, and determine the regional ground multi-station precipitation forecast value based on historical data and environmental parameters, and color-code according to the forecast value; Step 4: Enter the trend prediction terminal, and through real-time tracking of environmental parameters and analysis of historical data, the regional ground precipitation measured at the current moment is predicted in advance for the next period of the regional ground precipitation, and the regional ground precipitation results are predicted in real time in advance.

2. The method according to claim 1, characterized in that: The multi-point acquisition terminal includes a data acquisition module, a precipitation model module and a resolution tracking module; The data acquisition module includes a regional substation unit and a multi-station acquisition unit; The regional substation unit is used to create, manage, analyze and map each region through GIS, and divide the region into multiple stations. Multiple stations are equipped with resolution precipitation sensors, and are located and numbered according to GPS; The multi-station acquisition unit is used to collect multi-station resolution and precipitation in real time through a data acquisition instrument and a GPS positioning device.

3. The method according to claim 2, characterized in that: The precipitation model module includes a precipitation standard model and a disaster level unit; The precipitation standard model is used to record the precipitation of each station in the historical data through a data recorder, and set the precipitation standard model according to the current area; The disaster level unit is used to record the disasters caused by the precipitation at each site in the historical data through a data recorder, and set the disaster level model according to the current area.

4. The method according to claim 3, characterized in that: The resolution tracking module includes a resolution arrangement unit, an interpolation analysis unit and a multi-station display unit; The resolution arrangement unit is used to arrange the resolution precipitation sensors collected by multiple stations in sequence; The interpolation analysis unit is used to calculate the spatial interpolation analysis situation at the current moment by using the inverse distance weighted method. The calculation formula is as follows: Among them, Z(so) is the resolution precipitation sensor value of the location to be predicted, Z(si) is the resolution precipitation sensor value of the known sampling point, and d i,o is the distance between the position to be predicted and the i-th sampling point, P is the weight index, usually taking the value as 1; The multi-station display unit is used to visualize the calculated resolution precipitation sensor values ​​of the to-be-predicted position in real time through a display screen, and distinguish colors according to color identifiers.

5. The method according to claim 1, characterized in that: The multi-point analysis terminal includes an average value module, a historical data module and a multi-station prediction module; The averaging value module includes an average value calculation unit and a difference display unit; The average value calculation unit is used to calculate the average value of the information of multiple stations in the area, and then calculate the precipitation difference between the average value and the information of each station; The difference display unit is used to visually display the precipitation difference of each station in real time through a display screen.

6. The method according to claim 5, characterized in that: The historical data module includes a historical data unit and an environmental monitoring unit; The historical data unit is used to receive the regional ground monitoring data at the current moment in real time through the data collector, and to record the regional ground monitoring data collected at the current moment in real time through the data recorder; The environmental monitoring unit is used to detect the environmental parameters of the corresponding area in real time through earthquake monitoring equipment, landslide monitoring equipment, mud-rock flow monitoring equipment, ground subsidence monitoring equipment and volcanic eruption monitoring equipment, temperature sensors, humidity sensors and light sensors, and monitor the environmental parameters of the ground in the area at the current moment in real time.

7. The method according to claim 6, characterized in that: The multi-station prediction module includes a multi-station prediction unit and a color identification unit; The multi-station prediction unit is used to perform precipitation prediction based on the environmental parameters of the station measured at the current moment. The prediction method is as follows: Step I: Set the environmental standard parameters of the corresponding site and receive the precipitation in the historical period through the data acquisition instrument; Step II: Calculate the difference between the environmental parameters of the corresponding station and the environmental standard parameters. If the difference = ±0.1, it is judged that the precipitation is approaching the safe value. If the difference is >0.1 or <-0.1, it is judged that the precipitation exceeds the safe value, and a disaster warning is issued. One week is counted as a cycle. The environmental parameters of the corresponding station in the next cycle are predicted based on the environmental parameters of three cycles. If the average values ​​of the environmental parameters of the three cycles exceed the environmental standard parameters, the precipitation monitoring of the corresponding station is judged to be abnormal, and a dangerous warning information is issued; The color identification unit is used to perform color identification through a GIS early warning site when it is determined that precipitation monitoring is abnormal.

8. The method according to claim 1, characterized in that: The trend prediction end includes a data tracking module, a data prediction module and a prediction adjustment module; The data tracking module includes a historical parameter unit and an environmental parameter unit; The historical parameter unit is used to track the historical parameters recorded at the current moment in real time through a data tracker; The environmental parameter unit is used to track the environmental parameters recorded at the current moment in real time through a data tracker.

9. The method according to claim 8, characterized in that: The data prediction module is used to predict the precipitation of the ground in the area composed of multiple stations in real time through the precipitation prediction values ​​of multiple stations. The prediction method is as follows: The difference between the precipitation forecast values ​​of multiple stations and the average precipitation standard is calculated. If the difference = ±0.05, it is judged that the precipitation forecast value is approaching the safe value. If the difference >0.05 or <-0.05, it is judged that the precipitation exceeds the safe value, and a disaster warning is issued. One day is counted as one cycle, and the precipitation on the ground in the corresponding area in the next cycle is predicted based on the precipitation forecast values ​​of three cycles. If the average precipitation forecast values ​​of the three cycles exceed the average precipitation standard, it is judged that the precipitation monitoring on the ground in the corresponding area is abnormal, and a danger warning information is issued.

10. The method according to claim 9, characterized in that: The prediction adjustment module includes a multi-station adjustment unit and a periodic early warning unit; The multi-station adjustment unit is used to adjust the station values ​​where there is an error between the station parameters and the average value parameters in real time, and the adjustment data is determined according to the difference; The periodic warning unit is used to track the regional ground precipitation monitoring value at the current moment in real time through a data tracker, and calculate whether the regional ground precipitation monitoring value at the current moment is the same as the predicted value based on the difference. If they are the same, it means that the precipitation monitoring is valid, if they are different, it means that the precipitation monitoring is invalid.

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