Forest fire prevention water storage monitoring system based on environment temperature calculation

Abstract

The invention is applied to the technical field of forest fire prevention, and particularly discloses a forest fire prevention water storage monitoring system based on environment temperature calculation, the forest fire prevention water storage monitoring system comprises a central computer, a data monitoring module, a data processing and analyzing module, a risk assessment module and an early warning output module, and the central computer is a processing center of the system. According to the forest fire prevention and water storage monitoring system based on environment temperature calculation, environment data, including multi-dimensional environment data such as environment temperature, humidity, wind speed and wind direction, in a monitoring area is collected through a data monitoring module, a fire risk assessment model is constructed on the basis of a decision-making tree, and the forest fire prevention and water storage monitoring system based on environment temperature calculation is established in combination with historical fire data of the area. According to the method, the fire risk assessment model is trained and corrected, so that the risk of the forest fire can be predicted through the environmental data in the monitoring area, and compared with a traditional mode of monitoring the forest fire through visual monitoring, the forest fire can be predicted in advance through the environmental data.

Description

Technical Field

[0001] The present invention relates to the technical field of forest fire prevention, and in particular to a forest fire prevention water storage monitoring system based on ambient temperature calculation. Background Art

[0002] Forest fire refers to a fire phenomenon that spreads and expands in the forest, causing certain harm and losses to the forest, forest ecosystem and humans. Forest fire poses a serious threat to the ecological environment, economic development and social stability. Therefore, forest fire prevention and control are necessary. Reservoirs play an important role in the protection process of forest fires. The large amount of water stored in the reservoir can provide a stable and continuous water source for forest fire extinguishing, thereby meeting the fire extinguishing needs on the scene in a timely manner. The ambient temperature plays an extremely critical role in the forest fire prevention and water storage process. High temperature weather will increase the risk of forest fires, and high temperature weather will increase the evaporation of water stored in the reservoir, thereby affecting the water volume in the reservoir, thereby affecting the water supply during forest fire fighting.

[0003] Currently, forest fire monitoring methods usually use video surveillance, drone monitoring, or remote sensing monitoring. However, these methods can only obtain information about the area where the fire occurs, but cannot predict the fire situation in terms of fire warning and water storage monitoring, making it difficult to meet the timeliness and accuracy requirements of forest fire prevention work. Summary of the Invention

[0004] The purpose of the present invention is to provide a forest fire prevention water storage monitoring system based on ambient temperature calculation to solve the problem raised in the above background technology that the current means of monitoring forest fires can only monitor fires that have already occurred and cannot predict forest fire conditions.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a forest fire prevention and water storage monitoring system based on ambient temperature calculation, comprising a central computer, a data monitoring module, a data processing and analysis module, a risk assessment module and an early warning output module, wherein the central computer is the processing center of the system, the central computer is bidirectionally connected to the data monitoring module, the data monitoring module collects environmental data within the monitoring area, the central computer is bidirectionally connected to the data processing and analysis module, the data processing and analysis module receives environmental data from the data monitoring module and processes and analyzes the data, the central computer is bidirectionally connected to the risk assessment module, the risk assessment module has a built-in assessment model, and analyzes and assesses the fire risk and water storage capacity within the monitoring area, the central computer is bidirectionally connected to the early warning output module, the early warning output module receives and outputs the assessment results of the risk assessment module; Preferably, the central computer is communicatively connected to the weather station database, and the weather station database retrieves the meteorological data in the monitoring area and inputs it into the central computer for storage. The meteorological data includes precipitation data, average temperature, humidity, wind speed and direction, and forest fire history data in the monitoring area. The central computer is connected to a fixed monitoring terminal via a wire, and the central computer is connected to a mobile monitoring terminal via wireless communication.

[0006] By adopting the above technical solution, the central computer can be used to process and analyze the data of the monitoring system, and the analysis results can be output through the monitoring terminal.

[0007] Preferably, the data monitoring module includes a fire prevention monitoring submodule and a water storage monitoring submodule. The fire prevention monitoring submodule collects environmental data of the forest part within the monitoring area, and the water storage monitoring submodule collects environmental data of the water reservoir part within the monitoring area. The fire prevention monitoring submodule is provided with a temperature sensor and a humidity sensor. The temperature sensor collects environmental temperature data of the forest part of the monitoring area, and the humidity sensor collects environmental humidity data of the forest part. The water storage monitoring submodule is provided with a temperature sensor, a water level sensor and a water quality sensor. The temperature sensor collects the environmental temperature of the water reservoir within the monitoring area, the water level sensor collects water level data of the water reservoir, and the water quality sensor collects water quality data of the water in the water reservoir.

[0008] By adopting the above technical solution, the fire prevention monitoring submodule and the water storage monitoring submodule provided in the data monitoring module can respectively realize forest fire monitoring of the forest part within the monitoring area and water volume monitoring of the water reservoir within the monitoring area.

[0009] Preferably, the data processing and analysis module receives the environmental data from the data monitoring module and processes the environmental data, including denoising, missing value processing, and data standardization. The denoising removes random noise in the sensor collected data by filtering and smoothing methods, the missing value processing uses a filling method to fill in the missing data, and the data standardization converts the data into a unified standard scale.

[0010] By adopting the above technical solution, the data collected by the system can be analyzed and processed using the data processing and analysis module.

[0011] Preferably, the risk assessment module includes a fire risk assessment submodule and a water storage capacity assessment submodule. The fire risk assessment submodule predicts and assesses the fire situation in the forest part of the monitoring area based on environmental data. A fire risk assessment model is provided in the fire risk assessment submodule. The fire risk assessment model is constructed based on multiple decision trees. The independent variables in the fire risk assessment model include ambient temperature, humidity, wind speed and direction, terrain data and vegetation data. The dependent variable of the fire risk assessment model is the occurrence of forest fires. Fire history data is input into the fire risk assessment model, and the fire history data is used to train and correct the fire risk assessment model.

[0012] By adopting the above technical solution and utilizing the fire risk assessment submodule, the occurrence of forest fires can be predicted using data, thereby improving early warning of forest fires.

[0013] Preferably, the water storage capacity assessment submodule is provided with a water storage capacity assessment model, and the water storage capacity assessment model is constructed based on the water balance in the water storage tank. The water storage capacity is marked as , the water volume of the reservoir Initial water storage , water intake and water output Related, the water volume of the reservoir The calculation formula is as follows: The water intake Including rainfall input and water input ; The water output Including evaporation output and water output ; The rainfall input The water replenishment input is calculated based on the precipitation data in the weather station database. To replenish water to the external channel, the water input The amount of water is measured by water meters and other measuring equipment, and the water output The water storage tank is used for forest fire prevention, and the evaporation output is the amount of water evaporated from the surface of the reservoir, the evaporation output Calculated with the ambient temperature of the monitoring area as the independent variable.

[0014] By adopting the above technical solution, the water volume evaluation model of the reservoir can be used to calculate the evaporated water volume of the reservoir according to the ambient temperature and then construct a water volume model of the reservoir, which is convenient for realizing water volume management of the reservoir.

[0015] Preferably, the warning output module has built-in warning thresholds for fire risk assessment, water volume in the reservoir, The early warning output module receives the assessment results of the risk assessment module, analyzes the monitoring area according to the threshold, and inputs the results into the fixed monitoring terminal and the mobile monitoring terminal to output in the form of early warning information.

[0016] By adopting the above technical solution, the early warning output module can output the prediction results in the system in the form of early warning information, which is convenient for staff to carry out forest fire protection work.

[0017] Compared with the prior art, the beneficial effects of the present invention are: the forest fire prevention water storage monitoring system based on ambient temperature calculation: 1. The present invention uses a data monitoring module to collect environmental data within the monitoring area, including multi-dimensional environmental data such as ambient temperature, humidity, wind speed and direction. A fire risk assessment model is constructed based on a decision tree. Combined with historical fire data in the area, the fire risk assessment model is trained and revised. This allows the risk of forest fires to be predicted based on the environmental data within the monitoring area. Compared with the traditional method of monitoring forest fires through visual monitoring, forest fires can be predicted in advance through environmental data. The early warning output module can also promptly issue early warning information to the monitoring terminal, allowing staff to take timely fire prevention measures and reduce losses caused by forest fires. 2. The present invention uses sensors to monitor the environmental data of the water reservoir in real time, and constructs a water volume assessment model for the water volume in the water reservoir through the water balance between the initial water storage volume, water inlet volume and water outlet volume. The rainfall input in the water inlet volume is calculated based on the data in the meteorological station database, and the evaporation output in the water outlet volume is calculated with the ambient temperature as the independent variable. The water volume change in the water reservoir according to the ambient temperature is accurately grasped in real time. When the water storage volume is close to or below the safety threshold, the early warning output module will issue an alarm in time to facilitate the staff to replenish water in time, ensuring that when a forest fire occurs, the water reservoir can have sufficient and stable water supply to ensure the smooth progress of fire fighting. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a schematic diagram of the structure of the system of the present invention; Figure 2 This is a schematic diagram of the central computer connection structure of the present invention; Figure 3 This is a structural diagram of the data monitoring module of the present invention; Figure 4 A schematic diagram of the fire risk assessment model of the present invention is provided; Figure 5 This is a schematic diagram of the structure of the water volume assessment model for the reservoir of the present invention. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0020] See also Figure 1-Figure 5 The present invention provides a technical solution: a forest fire prevention water storage monitoring system based on ambient temperature calculation.

[0021] The central computer is the processing center of the system. The central computer is connected to the data monitoring module for two-way communication. The data monitoring module collects environmental data in the monitoring area. The central computer is connected to the data processing and analysis module for two-way communication. The data processing and analysis module receives the environmental data from the data monitoring module and processes and analyzes the data. The central computer is connected to the risk assessment module for two-way communication. The risk assessment module has a built-in assessment model to analyze and assess the fire risk and water storage capacity in the monitoring area. The central computer is connected to the early warning output module for two-way communication. The early warning output module receives and outputs the assessment results of the risk assessment module. The central computer is connected to the meteorological station database for communication. The meteorological station database retrieves meteorological data in the monitoring area and inputs it into the central computer for storage. The meteorological data includes precipitation data, average temperature, humidity, wind speed and direction, and historical forest fire data in the monitoring area. The central computer is connected to a fixed monitoring terminal via a wire, and the central computer is connected to a mobile monitoring terminal via wireless communication. like Figure 1 As shown, the data monitoring module is deployed in the monitoring area, wherein the fire prevention monitoring submodule is installed in the forest area, and the water storage monitoring submodule is set at the water reservoir in the monitoring area, including temperature sensors, water level sensors and water quality sensors. The collected data is input into the data processing and analysis module for analysis and processing. The evaluation model set in the risk assessment module is used to analyze and predict the probability of forest fire in the monitoring area and the water volume of the water reservoir, and send early warning information to the fixed monitoring terminal and the mobile monitoring terminal through the central computer to ensure that the staff can deal with the forest fire situation in time.

[0022] The data monitoring module includes a fire monitoring submodule and a water storage monitoring submodule. The fire monitoring submodule collects environmental data from the forest part within the monitoring area, and the water storage monitoring submodule collects environmental data from the reservoir part within the monitoring area. The fire monitoring submodule is provided with a temperature sensor and a humidity sensor. The temperature sensor collects environmental temperature data from the forest part of the monitoring area, and the humidity sensor collects environmental humidity data from the forest part. The water storage monitoring submodule is provided with a temperature sensor, a water level sensor and a water quality sensor. The temperature sensor collects environmental temperature of the reservoir within the monitoring area, the water level sensor collects water level data from the reservoir, and the water quality sensor collects water quality data of the water in the reservoir. The data processing and analysis module receives the environmental data from the data monitoring module and processes the environmental data, including denoising, missing value processing and data standardization. The denoising process removes random noise in the sensor collected data by filtering and smoothing methods. The missing value processing uses the filling method to fill in the missing data. The data standardization process converts the data into a unified standard scale. like Figure 3 As shown, the fire prevention monitoring submodule and the water storage monitoring submodule are deployed in the forest part and the water storage part of the monitoring area respectively. The temperature sensor and the humidity sensor are used to collect the environmental data of the forest part in real time, including the ambient temperature collected by the temperature sensor and the ambient humidity collected by the humidity sensor. The temperature sensor of the water storage part monitors the ambient temperature of the water storage in real time, the water level sensor collects the water level data of the water storage at regular intervals, and the water quality sensor regularly detects the water quality data of the water in the water storage. The collected data are input into the data processing and analysis module. After receiving the environmental data, the data processing and analysis module uses filtering algorithms and smoothing methods to remove the random noise in the sensor collected data to improve the accuracy of the data. If the temperature sensor data is missing in a certain time period, the missing value can be filled in according to the temperature data of the previous and next time periods by linear interpolation or other appropriate filling algorithms to ensure the integrity of the data. The processed environmental data is converted into a unified standard scale to facilitate subsequent data analysis.

[0023] The risk assessment module includes a fire risk assessment submodule and a water storage capacity assessment submodule. The fire risk assessment submodule predicts and assesses the fire situation in the forest part of the monitoring area based on environmental data. The fire risk assessment submodule is provided with a fire risk assessment model. The fire risk assessment model is constructed based on multiple decision trees. The independent variables in the fire risk assessment model include ambient temperature, humidity, wind speed and direction, terrain data and vegetation data. The dependent variable of the fire risk assessment model is the occurrence of forest fires. The fire history data is input into the fire risk assessment model, and the fire history data is used to train and correct the fire risk assessment model. like Figure 4As shown, the fire risk assessment model in the fire risk assessment submodule is used to predict and evaluate the fire situation of the processed environmental data. The fire risk assessment model uses ambient temperature, humidity, wind speed and direction, terrain data and vegetation data as independent variables, and the occurrence of forest fires as dependent variables to predict forest fires. The model is trained and corrected by inputting historical fire data into the model to improve the accuracy of model prediction. The environmental data is input into the fire risk assessment model to predict the probability of forest fire. For example, when the ambient temperature continues to rise, the humidity decreases, and the wind speed is high, the risk of forest fire is higher, and when the vegetation types in the environment are flammable, the risk of fire is higher. Therefore, according to the prediction results of the probability of forest fire, the staff can be assisted in the prevention and control of forest fires.

[0024] The water storage assessment submodule is equipped with a reservoir water volume assessment model. The reservoir water volume assessment model is constructed based on the water balance in the reservoir. The water volume of the reservoir is marked as , water volume in the reservoir Initial water storage , water intake and water output Related, water volume in reservoir The calculation formula is as follows: Water intake Including rainfall input and water input ; Water output Including evaporation output and water output ; Rainfall input Calculate the water input based on the precipitation data in the weather station database Replenish water to external channels and replenish water input The amount is measured by water meters and other measuring equipment, and the water output The water reservoir is used for forest fire prevention and the evaporation output is the amount of water evaporation on the surface of the reservoir, and the evaporation output Calculated with the ambient temperature of the monitoring area as the independent variable; like Figure 5 As shown in the figure, the water volume assessment model of the water reservoir set in the water volume assessment submodule can predict the water volume of the water reservoir in the monitoring area. By performing water balance analysis on the water reservoir, the water volume can be predicted based on environmental data, thereby ensuring that the water volume in the reservoir can be used for firefighting. The parameters involved in the water volume of the reservoir include rainfall input , water input , evaporation output and water output , where evaporation output The ambient temperature of the monitoring area is used as the independent variable. When the ambient temperature is higher, the water evaporates faster. During the operation of the system, sensors and metering equipment collect data in real time and continuously monitor the water volume in the reservoir. Update, when the water level in the reservoir When the water level approaches or falls below the safety threshold, the early warning output module will issue an early warning to remind staff to take measures such as water replenishment to ensure that there is enough water in the reservoir for fire fighting when a forest fire occurs.

[0025] The warning output module has built-in warning thresholds for fire risk assessment and water volume in the reservoir. The early warning output module receives the assessment results of the risk assessment module, analyzes the monitoring area according to the threshold, and inputs the results into the fixed monitoring terminal and the mobile monitoring terminal to output in the form of early warning information; like Figure 2 As shown, the warning output module has built-in warning thresholds for fire risk assessment, safety thresholds for the water volume V in the reservoir, and water quality thresholds for the reservoir. When the fire risk assessment result exceeds the warning threshold, the water volume in the reservoir is lower than the safety threshold, or the water quality in the reservoir does not meet the standard, the warning output module sends the assessment result in the form of warning information to the fixed monitoring terminal and the mobile monitoring terminal respectively. The fixed monitoring terminal is set up in a fixed location such as a forest fire prevention command point, while the mobile monitoring terminal is a staff member's mobile phone or mobile device, which facilitates the staff to take corresponding measures in a timely manner, such as strengthening forest fire prevention, replenishing water in the reservoir, or treating water quality.

[0026] Working principle: The sensors of the data monitoring module are arranged in the forest area and the reservoir area to collect environmental data of the monitoring area and the changes in forest environmental temperature. The collected data are transmitted to the central computer in real time, and then transmitted to the data processing and analysis module through the central computer for data preprocessing. The preprocessed data are input into the risk assessment module. The fire risk assessment submodule and the water storage capacity assessment submodule set in the risk assessment module respectively calculate the probability of fire in the forest area and the water volume data in the reservoir area. When the fire risk assessment result exceeds the warning threshold, or the water volume in the reservoir is lower than the safety threshold, or the water quality does not meet the standard, the warning output module will send the warning information to the fixed monitoring terminal and the mobile monitoring terminal, so that the staff can take timely precautions against forest fires in the monitoring area.

[0027] While the embodiments of the present invention have been shown and described, it will be apparent to those skilled in the art that various changes, modifications, substitutions, and alterations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A forest fire prevention water storage monitoring system based on ambient temperature calculation, comprising a central computer, a data monitoring module, a data processing and analysis module, a risk assessment module, and an early warning output module, characterized in that: The central computer is the processing center of the system. The central computer is connected to the data monitoring module in a two-way communication manner. The data monitoring module collects environmental data in the monitoring area. The central computer is connected to the data processing and analysis module in a two-way communication manner. The data processing and analysis module receives environmental data from the data monitoring module and processes and analyzes the data. The central computer is connected to the risk assessment module in a two-way communication manner. The risk assessment module has a built-in assessment model to analyze and assess the fire risk and water storage capacity in the monitoring area. The central computer is connected to the early warning output module in a two-way communication manner. The early warning output module receives and outputs the assessment results of the risk assessment module.

2. A forest fire prevention water storage monitoring system based on ambient temperature calculation according to claim 1, characterized in that: The central computer is in communication with a weather station database, and the weather station database retrieves meteorological data within the monitoring area and inputs it into the central computer for storage. The meteorological data includes precipitation data, average temperature, humidity, wind speed and direction, and forest fire history data in the monitoring area. The central computer is connected to a fixed monitoring terminal via a wire, and the central computer is connected to a mobile monitoring terminal via wireless communication.

3. The forest fire prevention water storage monitoring system based on ambient temperature calculation according to claim 1, characterized in that: The data monitoring module includes a fire prevention monitoring submodule and a water storage monitoring submodule. The fire prevention monitoring submodule collects environmental data of the forest part within the monitoring area, and the water storage monitoring submodule collects environmental data of the water reservoir part within the monitoring area. The fire prevention monitoring submodule is provided with a temperature sensor and a humidity sensor. The temperature sensor collects environmental temperature data of the forest part of the monitoring area, and the humidity sensor collects environmental humidity data of the forest part. The water storage monitoring submodule is provided with a temperature sensor, a water level sensor and a water quality sensor. The temperature sensor collects the environmental temperature of the water reservoir within the monitoring area, the water level sensor collects water level data of the water reservoir, and the water quality sensor collects water quality data of the water in the water reservoir.

4. The forest fire prevention water storage monitoring system based on ambient temperature calculation according to claim 1, characterized in that: The data processing and analysis module receives the environmental data from the data monitoring module and processes the environmental data, including denoising, missing value processing, and data standardization. The denoising removes random noise in the sensor collected data by filtering and smoothing methods, the missing value processing uses a filling method to fill in missing data, and the data standardization converts the data into a unified standard scale.

5. The forest fire prevention water storage monitoring system based on ambient temperature calculation according to claim 1, characterized in that: The risk assessment module includes a fire risk assessment submodule and a water storage capacity assessment submodule. The fire risk assessment submodule predicts and assesses the fire situation in the forest part of the monitoring area based on environmental data. A fire risk assessment model is provided in the fire risk assessment submodule. The fire risk assessment model is constructed based on multiple decision trees. The independent variables in the fire risk assessment model include ambient temperature, humidity, wind speed and direction, terrain data and vegetation data. The dependent variable of the fire risk assessment model is the occurrence of forest fires. Fire history data is input into the fire risk assessment model, and the fire history data is used to train and correct the fire risk assessment model.

6. The forest fire prevention water storage monitoring system based on ambient temperature calculation according to claim 5, characterized in that: The water storage capacity assessment submodule is provided with a water storage capacity assessment model. The water storage capacity assessment model is constructed based on the water balance in the water storage tank. The water storage capacity is marked as , the water volume of the reservoir Initial water storage , water intake and water output Related, the water volume of the reservoir The calculation formula is as follows: The water intake Including rainfall input and water input ; The water output Including evaporation output and water output ; The rainfall input The water replenishment input is calculated based on the precipitation data in the weather station database. To replenish water to the external channel, the water input The amount of water is measured by water meters and other measuring equipment, and the water output The water storage tank is used for forest fire prevention, and the evaporation output is the amount of water evaporated from the surface of the reservoir, the evaporation output Calculated with the ambient temperature of the monitoring area as the independent variable.

7. The forest fire prevention water storage monitoring system based on ambient temperature calculation according to claim 1, characterized in that: The warning output module has built-in warning thresholds for fire risk assessment, water volume in the reservoir, The early warning output module receives the assessment results of the risk assessment module, analyzes the monitoring area according to the threshold, and inputs the results into the fixed monitoring terminal and the mobile monitoring terminal to output in the form of early warning information.

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