Intelligent fire extinguishing field data acquisition and auxiliary evaluation system

Abstract

The utility model relates to an intelligent fire fighting field data acquisition and auxiliary evaluation system, which comprises a fire fighting truck, a cloud platform and a server, the fire fighting truck comprises a fire fighting truck and a water supply truck, the fire fighting truck is provided with a sensor module, an acquisition terminal, a data transmission and positioning integration module and a display terminal, and the sensor module is in data connection with the acquisition terminal. The acquisition terminal is in data connection with the cloud platform through the data transmission and positioning integration module and the Internet, the cloud platform is in data connection with the server through the Internet, and the server is in data connection with the display terminal through the Internet. And a vehicle database, a police database, a single vehicle flow and liquid level database, a safe water quantity early warning module and a position information database are arranged in the server. The system is a comprehensive fire fighting field evaluation system, and constructive guidance can be provided for intelligent fire fighting.

Description

Technical Field

[0001] The utility model relates to the technical field of intelligent fire protection, in particular to an intelligent fire extinguishing site data collection and auxiliary evaluation system. Background Art

[0002] With the acceleration of urbanization, the population density is getting higher and higher, and the frequency of fires is also increasing. Traditional firefighting methods can no longer meet the needs of modern cities, and smart firefighting has emerged. Smart firefighting can use advanced information technology and Internet of Things technology to achieve all-round intelligent management of various fire situations. However, there are certain defects in the Internet of Things system for smart firefighting on the market:

[0003] 1. Lack of intelligent vehicle dispatch combination police suggestions and police perception of vehicles.

[0004] 2. The changes in water volume data at the fire-fighting site lack real-time dynamic visualization, which makes it inconvenient for firefighters to observe changes in water volume information on the vehicle site.

[0005] 3. The common fire-fighting systems currently lack certain auxiliary suggestions, such as the lack of comprehensive auxiliary evaluation suggestions such as the remaining water safety alarm for single vehicles and on-site vehicles, the duration of remaining water, water demand, the nearest water source, and vehicle replenishment.

[0006] 4. Lack of storage of historical information data on vehicles and water volume.

[0007] 5. For fire brigades that need to send out police reports, there is a lack of automatic generation of police reports. Utility Model Content

[0008] The utility model aims to solve the deficiencies of the prior art and provide an intelligent fire-fighting on-site data collection and auxiliary evaluation system.

[0009] In order to achieve the above-mentioned purpose, the utility model adopts the following technical solutions:

[0010] The intelligent fire-fighting scene data collection and auxiliary evaluation system includes a fire truck, a cloud platform and a server. The fire truck includes a fire truck and a water supply truck. The fire truck is equipped with a sensor module, a collection terminal, a data transmission and positioning integration module, and a display terminal. The sensor module is connected to the collection terminal data, and the collection terminal is connected to the cloud platform data through the data transmission and positioning integration module and the Internet. The cloud platform is connected to the server data through the Internet, and the server is connected to the display terminal data through the Internet. The server is equipped with a vehicle database, an alarm database, a single vehicle flow and liquid level database, a safe water volume warning module and a location information database.

[0011] The sensor module includes an outflow flow meter, an inflow flow meter and a liquid level meter installed on the water tank of the fire-fighting vehicle. The outflow flow meter and the inflow flow meter are used to collect flow in real time, and the liquid level meter is used to collect water volume information of the fire-fighting vehicle.

[0012] The data transmission and positioning integrated module includes a DTU data transmission unit and a GPS positioning unit;

[0013] The DTU data transmission unit is used to convert serial port data into IP data or IP data into serial port data, and transmit it through the wireless communication network. The DTU data transmission unit is connected to the data collection terminal. The collected data is transmitted to the cloud platform through the DTU data transmission unit, and then transmitted to the server through the Internet;

[0014] The GPS positioning unit is used to locate the fire truck, helping firefighters better understand the location of the fire truck.

[0015] The fire-fighting vehicle is equipped with a 4G antenna, which is connected to the data transmission and positioning integrated module.

[0016] The acquisition terminal collects the model of each sensor module and also collects the switch signal to determine whether the vehicle is in an alarm state.

[0017] The evaluation method of the above-mentioned intelligent fire-fighting scene data collection and auxiliary evaluation system has the following specific steps:

[0018] S1. The user inputs fire scene related parameters, and then combines the vehicle database information and the police database information in the server to analyze and pre-process the intelligent police plan and determine the police plan;

[0019] S2. The server processes the data sent by the DTU data transmission unit, intelligently senses the vehicle in the police call, and determines whether the vehicle is in the police call. If not, it continues to process the data sent by the DTU data transmission unit. If yes, it displays the vehicle in the police call.

[0020] S3. During the firefighting process of the fire truck, the sensor data collected by the acquisition terminal and the vehicle location information transmitted by the GPS positioning unit are used to implement real-time dynamic perception and visualization of the fire scene data and comprehensive judgment of vehicle auxiliary suggestions;

[0021] Real-time dynamic perception and visualization of fire-fighting scene data includes visualization of single-vehicle liquid level data curve, single-vehicle water inflow and outflow, vehicle overall liquid level information, total water inflow and outflow, map display and elimination of fire hydrants in designated areas along the dispatch route, and real-time data visualization of total water outflow and total water inflow;

[0022] The comprehensive judgment of vehicle auxiliary suggestions includes single-vehicle safety remaining water alarm, remaining water duration assessment, whether the vehicle needs to be replenished, round-trip time judgment, and the nearest water source information;

[0023] S4: Determine whether the alarm is completed. If not, continue the operation in step S3. If yes, generate an alarm report.

[0024] In step S1, the specific process of intelligent alarm solution analysis and preprocessing is as follows:

[0025] The user inputs the burning area A of the fire scene;

[0026] Select the fire extinguishing water supply intensity b;

[0027] Calculate the amount of water used in the fire scene Q, Q = Ab;

[0028] Select the water gun flow rate q;

[0029] Calculate the number of water guns n, n = Q / q, and predict the number of fire trucks N that need to be used, N = the total number of water guns divided by the number of guns fired by a single fire truck;

[0030] Enter the fire duration t;

[0031] The total water consumption V at the fire scene is calculated according to the empirical formula, V=3.6Qt. Based on the estimated total water consumption at the fire scene and the amount of water carried by the fire truck, the number of water supply trucks required is predicted.

[0032] In step S2, the specific process of intelligently sensing the police vehicle is as follows:

[0033] The acquisition terminal acquires the vehicle switch quantity signal;

[0034] Pack the switch signal and other information together and send them to the server;

[0035] The server processes the information sent by the vehicle data transmission unit;

[0036] Determine whether the switch signal is 1. If not, the vehicle has not been in an alarm; if yes, the vehicle has been in an alarm;

[0037] The vehicle ID is transmitted to the vehicle database, and the front-end interface displays the information of the alarm vehicle.

[0038] In step S3, the specific process of real-time dynamic perception and visualization of fire scene data and comprehensive judgment of vehicle auxiliary suggestions is as follows:

[0039] The INotifyPropertyChanged interface monitors whether properties have changed and notifies controls of changes, including:

[0040] Monitor the outflow and inflow properties, bind the TextBlock control in WPF, display the inflow and outflow, obtain the outflow and inflow of vehicles of the same type, obtain the total outflow and inflow, monitor the total outflow and inflow properties, bind the TextBlock control in WPF, obtain the outflow and inflow every 10 seconds, water volume = flow × time, calculate the total outflow and inflow, monitor the total outflow and inflow properties, and obtain the data spline curve;

[0041] Monitor the water volume attribute, bind the liquid level graphic display, determine whether the remaining water volume of the bicycle is less than 20%, if less than 20%, alarm prompt, obtain the current total water volume of the same type of vehicle, monitor the total water volume attribute, bind, liquid level graphic display; store the current total water volume data obtained for the first time in the data group, monitor the total remaining water volume attribute, remaining water volume percentage = current total water volume / first total water volume;

[0042] Monitor the remaining fire extinguishing time attribute, remaining fire extinguishing time = total water volume / total water output, and make a comprehensive decision on whether to send additional vehicles.

[0043] In step S3, the process of displaying and removing the fire hydrant map in the designated area along the police route is as follows:

[0044] The C# backend parses the string information, obtains the license plate number, longitude and latitude, passes it to the HTML page, and displays the longitude and latitude of the HTML page in real time;

[0045] Used to input the fire address, navigate the fire system to the fire address route, display the distance and estimated time to the fire address, store the longitude and latitude coordinates in the data group, and draw the driving trajectory in real time through the coordinates;

[0046] C# establishes a connection with the SQL Server database, reads each set of fire hydrant longitude and latitude data in the database, passes it to the HTML page, constructs an array, visualizes all points, and displays the point location with a fire hydrant icon;

[0047] Calculate the distance between the vehicle and each fire hydrant and determine whether the distance is less than one kilometer. If not, hide the fire hydrant icon. If yes, display the fire hydrant icon. Click on the fire hydrant route to navigate the vehicle and the fire hydrant route.

[0048] The beneficial effects of the utility model are as follows: the utility model provides auxiliary suggestions for fire trucks based on the data of the fire extinguishing scene, reasonably arranges the vehicle combination for dispatching, is conducive to the rational use of fire-fighting resources, has intelligent dispatching perception, and can dynamically visualize the real-time perception of water volume changes at the fire extinguishing scene. It can provide alarms for the safe remaining water volume of single vehicles and vehicles on site, the duration of the remaining water volume, the water volume demand, and comprehensive opinions on vehicle replenishment. It is convenient to check the location of surrounding fire hydrants, and the historical storage of fire extinguishing project data and the automatic generation of dispatching reports can help firefighters make fire extinguishing summaries. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a schematic diagram of the intelligent fire-fighting scene data collection and auxiliary evaluation system of the utility model;

[0050] Figure 2 It is a schematic diagram of the intelligent fire-fighting scene data collection and auxiliary evaluation method of the utility model;

[0051] Figure 3 This is a flow chart of analysis and preprocessing of the intelligent alarm solution of the utility model;

[0052] Figure 4 This is a flow chart of the intelligent sensing police vehicle of the utility model;

[0053] Figure 5 This is a flowchart of the real-time perception, dynamic visualization and comprehensive evaluation of vehicle auxiliary suggestions for fire-fighting scene data of the utility model;

[0054] Figure 6 A flowchart showing and eliminating a map of fire hydrants within a specified range along the route of the utility model;

[0055] In the figure: 1-water outflow meter; 2-water inflow meter; 3-liquid level meter; 4-4G antenna; 5-display terminal; 6-data transmission and positioning integrated module; 7-collection terminal; 8-fire fighting vehicle; 9-cloud platform; 10-server;

[0056] The following is a detailed description of the embodiments of the present invention with reference to the accompanying drawings. DETAILED DESCRIPTION

[0057] The principles and features of the present invention are described below in conjunction with the accompanying drawings. The examples given are only used to explain the present invention and are not used to limit the scope of the present invention. The present invention is described in more detail in the following paragraphs by way of example with reference to the accompanying drawings. The advantages and features of the present invention will become clearer according to the following description. It should be noted that the drawings are all in a very simplified form and are not in precise proportions, and are only used to conveniently and clearly assist in explaining the purpose of the embodiments of the present invention.

[0058] It should be noted that when a component is referred to as being "fixed to" another component, it may be directly on the other component or there may also be a component centered. When a component is considered to be "connected to" another component, it may be directly connected to the other component or there may also be a component centered. When a component is considered to be "set on" another component, it may be directly set on the other component or there may also be a component centered. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0059] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art in the technical field of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0060] The utility model is further described below in conjunction with the accompanying drawings and embodiments:

[0061] The intelligent fire-fighting scene data collection and auxiliary evaluation system includes a fire truck, a cloud platform 9 and a server 10. The fire truck includes a fire truck 8 and a water supply truck. The fire truck 8 is provided with a sensor module, a collection terminal 7, a data transmission and positioning integration module 6, and a display terminal 5. The sensor module is connected to the collection terminal 7 for data. The collection terminal 7 is connected to the cloud platform 9 through the data transmission and positioning integration module 6 and the Internet. The cloud platform 9 is connected to the server 10 through the Internet. The server 10 is connected to the display terminal 5 through the Internet. The server 10 is provided with a vehicle database, an alarm database, a single vehicle flow and liquid level database, a safe water volume warning module and a location information database.

[0062] The sensor module includes an outflow flow meter 1, an inflow flow meter 2 and a liquid level meter 3 installed on the water tank of the fire-fighting vehicle 8. The outflow flow meter 1 and the inflow flow meter 2 are used to collect flow in real time, and the liquid level meter 3 is used to collect water volume information of the fire-fighting vehicle 8.

[0063] The data transmission and positioning integrated module 6 includes a DTU data transmission unit and a GPS positioning unit;

[0064] The DTU data transmission unit is used to convert serial port data into IP data or IP data into serial port data, and transmit it through a wireless communication network. The DTU data transmission unit is connected to the data collection terminal 7. The collected data is transmitted to the cloud platform 9 through the DTU data transmission unit, and then transmitted to the server 10 through the Internet;

[0065] The GPS positioning unit is used to locate the fire-fighting vehicle 8, helping firefighters to better grasp the location of the fire-fighting vehicle 8.

[0066] A 4G antenna 4 is provided on the fire-fighting vehicle 8 , and the 4G antenna 4 is connected to the data transmission and positioning integrated module 6 .

[0067] The display terminal 5 may be a display screen.

[0068] The acquisition terminal 7 acquires the model of each sensor module and also acquires the switch signal to determine whether the vehicle is in an alarm state.

[0069] The communication between software and hardware is realized through the Socket interface, using the TCP transmission protocol. The DTU data transmission unit acts as a client, and there is a server code in the main program, which is used to establish a server listening, waiting and receiving connection requests. When the main program and hardware are started and the communication connection is successful, the client's data can be sent to the program and further parsed in the program.

[0070] The evaluation method of the above-mentioned intelligent fire-fighting scene data collection and auxiliary evaluation system has the following specific steps:

[0071] S1. The user inputs fire scene related parameters, and then combines the vehicle database information and the police database information in the server 10 to analyze and preprocess the intelligent police plan and determine the police plan;

[0072] The specific process of intelligent alarm solution analysis and preprocessing is as follows:

[0073] The user inputs the burning area A of the fire scene;

[0074] Select the fire extinguishing water supply intensity b;

[0075] Calculate the amount of water used in the fire scene Q, Q = Ab;

[0076] Select the water gun flow rate q;

[0077] Calculate the number of water guns n, n = Q / q, and predict the number of fire trucks N that need to be used, N = the total number of water guns divided by the number of guns fired by a single fire truck;

[0078] Enter the fire duration t;

[0079] Calculate the total water consumption V at the fire scene according to the empirical formula, V = 3.6Qt. According to the estimated total water consumption at the fire scene and the amount of water carried by the fire truck, predict the number of water supply trucks needed;

[0080] S2, the server 10 processes the data sent by the DTU data transmission unit, intelligently senses the vehicle in the police call, and determines whether the vehicle is in the police call. If not, it continues to process the data sent by the DTU data transmission unit. If yes, it displays that the vehicle is in the police call.

[0081] Generally, when a fire truck goes out on an emergency, the alarm lights will sound; if the fire truck does not go out on an emergency, the alarm lights will not sound. Based on this, we can judge whether a certain vehicle has gone out on an emergency.

[0082] The specific process of intelligent sensing police vehicles is as follows:

[0083] The acquisition terminal 7 acquires the vehicle switch quantity signal;

[0084] Pack the switch signal and other information together and send them to the server 10;

[0085] The server 10 processes the information sent by the vehicle data transmission unit;

[0086] Determine whether the switch signal is 1. If not, the vehicle has not been in an alarm; if yes, the vehicle has been in an alarm;

[0087] The vehicle ID is transmitted to the vehicle database, and the front-end interface displays the information of the alarm vehicle;

[0088] S3, during the fire-fighting process of the fire truck, the sensor data collected by the acquisition terminal 7 and the vehicle position information transmitted by the GPS positioning unit are used to implement real-time dynamic perception and visualization of the fire-fighting scene data and comprehensive judgment of vehicle auxiliary suggestions;

[0089] Real-time dynamic perception and visualization of fire-fighting scene data includes visualization of single-vehicle liquid level data curve, single-vehicle water inflow and outflow, vehicle overall liquid level information, total water inflow and outflow, map display and elimination of fire hydrants in designated areas along the dispatch route, and real-time data visualization of total water outflow and total water inflow;

[0090] The comprehensive judgment of vehicle auxiliary suggestions includes single-vehicle safety remaining water alarm, remaining water duration assessment, whether the vehicle needs to be replenished, round-trip time judgment, and the nearest water source information;

[0091] The specific process of real-time dynamic perception and visualization of fire scene data and comprehensive judgment of vehicle auxiliary suggestions is as follows:

[0092] The INotifyPropertyChanged interface monitors whether properties have changed and notifies controls of changes, including:

[0093] Monitor the outflow and inflow properties, bind the TextBlock control in WPF, display the inflow and outflow, obtain the outflow and inflow of vehicles of the same type, obtain the total outflow and inflow, monitor the total outflow and inflow properties, bind the TextBlock control in WPF, obtain the outflow and inflow every 10 seconds, water volume = flow × time, calculate the total outflow and inflow, monitor the total outflow and inflow properties, and obtain the data spline curve;

[0094] Monitor the water volume attribute, bind the liquid level graphic display, determine whether the remaining water volume of the bicycle is less than 20%, if less than 20%, alarm prompt, obtain the current total water volume of the same type of vehicle, monitor the total water volume attribute, bind, liquid level graphic display; store the current total water volume data obtained for the first time in the data group, monitor the total remaining water volume attribute, remaining water volume percentage = current total water volume / first total water volume;

[0095] Monitor the remaining fire extinguishing time attribute, remaining fire extinguishing time = total water volume / total water output, and make a comprehensive decision on whether to dispatch additional vehicles;

[0096] The process of displaying and removing the fire hydrant map in the designated area along the police route is as follows:

[0097] The C# backend parses the string information, obtains the license plate number, longitude and latitude, passes it to the HTML page, and displays the longitude and latitude of the HTML page in real time;

[0098] Used to input the fire address, navigate the fire system to the fire address route, display the distance and estimated time to the fire address, store the longitude and latitude coordinates in the data group, and draw the driving trajectory in real time through the coordinates;

[0099] C# establishes a connection with the SQL Server database, reads each set of fire hydrant longitude and latitude data in the database, passes it to the HTML page, constructs an array, visualizes all points, and displays the point location with a fire hydrant icon;

[0100] Calculate the distance between the vehicle and each fire hydrant and determine whether the distance is less than one kilometer. If not, hide the fire hydrant icon. If yes, display the fire hydrant icon. Click on the fire hydrant route to navigate the vehicle and the fire hydrant route.

[0101] S4: Determine whether the alarm is completed. If not, continue the operation in step S3. If yes, generate an alarm report.

[0102] This utility model has six major characteristics:

[0103] Intelligent vehicle dispatch combination police response: The system can assist fire truck combination police response; according to the fire burning area, fire extinguishing water supply intensity, water gun flow and time and other firefighting parameters input by the user, the system can predict the number of fire trucks and water supply trucks that need to be dispatched, so as to help firefighters judge the number of police vehicles.

[0104] Intelligent police perception: The system receives vehicle switch signals, intelligently perceives the specific police vehicle model, and displays the police vehicle information on the interface.

[0105] Dynamic visualization of data: For the overall water volume and flow information of fire truck 8 and water supply truck, the data is updated in real time in the form of numbers and curves; at the same time, the flow rate, water volume change information and historical data of each police vehicle can also be viewed.

[0106] Map display and elimination of fire hydrants within the specified range along the police route: In terms of map, the vehicle's location information is displayed in real time, and the current vehicle's driving trajectory is drawn. In order to facilitate the search for fire hydrants, the fire hydrants within one kilometer of the vehicle are displayed in real time. Click on the fire hydrant to generate a navigation route from the vehicle to the water source; after the user enters the fire extinguishing address, the distance and time required to reach the destination can be predicted and calculated.

[0107] Storage of fire-fighting data and automatic generation of police reports: The storage of fire-fighting data mainly includes: number of vehicle police calls, mileage, water output, and water input. The data is stored in the database in real time. When a certain vehicle is called, the database calls the data and displays the historical information of the vehicle on one side of the vehicle. After the police call is completed, the program automatically generates a police report.

[0108] The utility model is described above by way of example in conjunction with the accompanying drawings. It is obvious that the specific implementation of the utility model is not limited to the above-mentioned method. As long as various improvements are made using the method concept and technical solution of the utility model, or are directly applied to other occasions without improvement, they are all within the protection scope of the utility model.

Claims

1. Intelligent fire-fighting scene data collection and auxiliary evaluation system, characterized by: The invention comprises a fire truck, a cloud platform (9) and a server (10), wherein the fire truck comprises a fire truck (8) and a water supply truck, wherein the fire truck (8) is provided with a sensor module, a collection terminal (7), a data transmission and positioning integrated module (6) and a display terminal (5), wherein the sensor module is data-connected to the collection terminal (7), wherein the collection terminal (7) is data-connected to the cloud platform (9) via the data transmission and positioning integrated module (6) and the Internet, wherein the cloud platform (9) is data-connected to the server (10) via the Internet, wherein the server (10) is data-connected to the display terminal (5) via the Internet, and wherein the server (10) is provided with a vehicle database, an alarm database, a single vehicle flow and liquid level database, a safe water volume early warning module and a location information database; The sensor module comprises a water outflow meter (1), a water inflow meter (2) and a liquid level meter (3) installed on a water tank of a fire-fighting vehicle (8); the water outflow meter (1) and the water inflow meter (2) are used to collect flow in real time, and the liquid level meter (3) is used to collect water volume information of the fire-fighting vehicle (8); The data transmission and positioning integrated module (6) includes a DTU data transmission unit and a GPS positioning unit; the DTU data transmission unit is used to convert serial port data into IP data or IP data into serial port data, and transmit the data through a wireless communication network; the DTU data transmission unit is connected to the data collection terminal (7); the collected data is transmitted to the cloud platform (9) through the DTU data transmission unit, and then transmitted to the server (10) through the Internet; the GPS positioning unit is used to locate the fire-fighting vehicle (8); The acquisition terminal (7) acquires the model of each sensor module and also acquires the switch signal to determine whether the vehicle is in an alarm state.

2. The intelligent fire-fighting scene data acquisition and auxiliary evaluation system according to claim 1 is characterized in that: A 4G antenna (4) is provided on the fire-fighting vehicle (8), and the 4G antenna (4) is connected to a data transmission and positioning integrated module (6).

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