CN117197994A - Tunnel fire hazard early warning system, method and storage medium based on multi-source data - Google Patents
Tunnel fire hazard early warning system, method and storage medium based on multi-source data Download PDFInfo
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Abstract
The application relates to the technical field of tunnel security, in particular to a tunnel fire hazard early warning system and method based on multi-source data and a storage medium, wherein the system comprises a server and a data acquisition terminal, and the server comprises the following modules: and a data acquisition module: the system comprises a data acquisition terminal, a control terminal and a control terminal, wherein the data acquisition terminal is used for acquiring fire monitoring data in a tunnel and real-time driving data of a vehicle; the tunnel model monitoring module: the method is used for acquiring the constructed three-dimensional tunnel model and importing fire monitoring data and real-time driving data of the vehicle; and the data analysis and early warning module: the system is used for carrying out fire hazard early warning monitoring on the power transformation and distribution room according to smoke monitoring information and temperature information of the power transformation and distribution room; and analyzing whether fire hazards exist in each vehicle according to the external environment temperature information, the vehicle image information and the temperature information of each vehicle, and marking the vehicles on the corresponding vehicles in the three-dimensional tunnel model. The application can early warn various fire hazards in tunnel environment and improve the safety of expressway tunnel traffic.
Description
Technical Field
The application relates to the technical field of tunnel security, in particular to a tunnel fire hazard early warning system and method based on multi-source data and a storage medium.
Background
The expressway is a totally-enclosed, multi-lane, high-standard automobile special road with central greening isolation belts, full three-dimensional intersection, centralized management, access control and complete matching of various safety service facilities, and has the characteristics of high running speed, running safety, high traffic capacity, low transportation cost, good economic benefit and the like.
At present, the fire causes of expressway tunnels are mainly divided into three types, namely traffic accidents, tunnel factors, vehicles and loaded cargoes. Among these, traffic accidents and vehicles and cargo carried are unpredictable factors. Tunnel factors are mainly potential fire hazards of power transformation and distribution (station/room) in the tunnel, such as fire caused by faults of electric circuits and equipment in the tunnel. Aiming at the problems, a smoke detector and temperature measuring equipment are traditionally used for detection, but the hidden danger of the electrical fire can not be found in time due to the factors of lower sensitivity, late alarm time, easy detection affected by environment and the like; and the smoke alarm system also has the problem of false alarm, so that excessive workload is brought to operation and maintenance personnel, and the hidden danger of the electrical fire can not be accurately found and eliminated.
Disclosure of Invention
The application aims to provide a tunnel fire hazard early warning system based on multi-source data, which can early warn various fire hazards in a tunnel environment and improve the safety of expressway tunnel traffic.
In order to achieve the above purpose, the utility model provides a tunnel fire hidden danger early warning system based on multisource data, including server and data acquisition terminal, data acquisition terminal includes temperature sensor, visible light camera, infrared camera, smoke alarm and radar module, the server includes following module:
and a data acquisition module: the system comprises a data acquisition terminal, a control terminal and a control terminal, wherein the data acquisition terminal is used for acquiring fire monitoring data in a tunnel and real-time driving data of a vehicle; the real-time driving data comprise vehicle speed information and vehicle real-time position information which are acquired based on a radar module, and the fire monitoring data comprise external environment temperature information, vehicle image information, vehicle temperature information, power transformation and distribution room temperature information, smoke monitoring information of the power transformation and distribution room and smoke monitoring information of a fixed point position;
the tunnel model monitoring module: the method comprises the steps of obtaining a built three-dimensional tunnel model, importing fire monitoring data and real-time running data of vehicles into the three-dimensional tunnel model, simulating the running track and the real position of each vehicle, marking the temperature information of each vehicle, marking the smoke monitoring information of a power transformation and distribution room and marking the smoke monitoring information of a fixed point position;
and the data analysis and early warning module: the system is used for carrying out fire hazard early warning monitoring on the power transformation and distribution room according to smoke monitoring information and temperature information of the power transformation and distribution room; the system is also used for analyzing whether each vehicle has temperature abnormality according to the external environment temperature information, the vehicle image information and the temperature information of each vehicle, if so, generating fire primary hidden danger early warning information and marking the fire primary hidden danger early warning information on the corresponding vehicle in the three-dimensional tunnel model; the system is also used for predicting and analyzing the collision condition of the vehicles according to the driving track, the real position and the vehicle speed information of each vehicle, analyzing whether the temperature information of the vehicles changes if the collision exists, generating fire secondary hidden danger early warning information if the temperature information of the vehicles changes, and marking the fire secondary hidden danger early warning information on the corresponding vehicles in the three-dimensional tunnel model; the method is also used for analyzing whether the first-level hidden danger warning information of the fire exists in the vehicle corresponding to collision when the second-level hidden danger warning information of the fire is generated, and if so, generating the high-risk hidden danger warning information and marking the high-risk hidden danger warning information on the corresponding vehicle in the three-dimensional tunnel model; and analyzing smoke monitoring information of the fixed point position of the accessory, if smoke is detected, upgrading the smoke monitoring information into fire alarm information, and marking the fire alarm information on a corresponding vehicle in the three-dimensional tunnel model.
Further, the server is connected to a tunnel ventilation system comprising a plurality of electrically controlled dampers and an axial flow fan, the server further comprising the following modules:
and the smoke discharge control management module: when fire alarm information is received, the position information of the vehicle corresponding to the fire source is obtained from the three-dimensional tunnel model, a plurality of electric control air valves near the fire source are only opened according to the position information of the vehicle, and then the axial flow fan at one side near the fire source is controlled to reverse, so that the air delivery duct of a suspended ceiling in the tunnel is changed into a discharge flue, and both sides of the fire source are in a safe air environment
Further, the server also comprises the following modules:
high-risk vehicle monitoring management module: the system is used for analyzing and predicting the carried goods of various freight cars according to the car image information and quantitatively analyzing the fire hazard level according to the combustion performance of the carried goods; and the fire hazard level is dynamically adjusted according to the temperature information change of the freight car.
The second purpose of the application is to provide a tunnel fire hazard early warning method based on multi-source data, which comprises the following steps:
and a data acquisition step: acquiring fire monitoring data and real-time driving data of a vehicle in a tunnel by a data acquisition terminal; the real-time driving data comprise vehicle speed information and vehicle real-time position information which are acquired based on a radar module, and the fire monitoring data comprise external environment temperature information, vehicle image information, vehicle temperature information, power transformation and distribution room temperature information, smoke monitoring information of the power transformation and distribution room and smoke monitoring information of a fixed point position;
and a tunnel model monitoring step: acquiring a constructed three-dimensional tunnel model, importing fire monitoring data and real-time running data of vehicles into the three-dimensional tunnel model, simulating the running track and the real position of each vehicle, marking the temperature information of each vehicle, and marking the smoke monitoring information of a power transformation and distribution room and the smoke monitoring information of a mark fixed point position;
and (3) data analysis and early warning: carrying out fire hazard early warning monitoring on the power transformation and distribution room according to smoke monitoring information and temperature information of the power transformation and distribution room; analyzing whether each vehicle has temperature abnormality according to the external environment temperature information, the vehicle image information and the temperature information of each vehicle, if so, generating fire primary hidden danger early warning information, and marking the fire primary hidden danger early warning information on the corresponding vehicle in the three-dimensional tunnel model; predicting and analyzing the collision condition of the vehicles according to the driving track, the real position and the vehicle speed information of each vehicle, if collision exists, analyzing whether the temperature information of the vehicles changes, if so, generating fire secondary hidden danger early warning information, and marking the fire secondary hidden danger early warning information on the corresponding vehicles in the three-dimensional tunnel model; when fire secondary hidden danger early warning information is generated, analyzing whether a vehicle corresponding to collision has fire primary hidden danger early warning information, if so, generating high-risk fire hidden danger early warning information, and marking the high-risk fire hidden danger early warning information on the corresponding vehicle in the three-dimensional tunnel model; and analyzing smoke monitoring information of the fixed point position of the accessory, if smoke is detected, upgrading the smoke monitoring information into fire alarm information, and marking the fire alarm information on a corresponding vehicle in the three-dimensional tunnel model.
Further, the method also comprises the following steps:
and smoke discharge control and management step: when fire alarm information is received, position information of a vehicle corresponding to a fire source is obtained from the three-dimensional tunnel model, a plurality of electric control air valves near the fire source are only opened according to the position information of the vehicle, and then an axial flow fan at one side near the fire source is controlled to reverse, so that an air delivery duct of a suspended ceiling in the tunnel is changed into a discharge flue, and both sides of the fire source are in a safe air environment.
Further, the method also comprises the following steps:
the high-risk vehicle monitoring and management steps are as follows: according to the vehicle image information, analyzing and predicting the carried goods of various freight vehicles, and quantitatively analyzing the fire hazard level according to the combustion performance of the carried goods; and then dynamically adjusting the fire hazard level according to the temperature information change of the freight car.
The third objective of the present application is to provide a computer readable storage medium, wherein the computer readable storage medium includes a tunnel fire hazard warning program based on multi-source data, and when the tunnel fire hazard warning program based on multi-source data is executed by a processor, the steps of the tunnel fire hazard warning method based on multi-source data are implemented.
Principle and advantage:
1. the method comprises the steps of dynamically sensing traffic information inside and outside a tunnel through a constructed three-dimensional tunnel model and data acquired by multiple sensors such as a radar, a visible light video camera and a thermal imaging camera, acquiring multiple application data including traffic state operation real-time data, traffic flow data, passing data, traffic emergency and vehicle body temperature inside and outside the tunnel in real time, and supporting tunnel lane-level fine management with rich high-precision data resources. The method can draw out the real passing track and the real position of the vehicle in the real scene, realize the high-precision positioning and the high-restoration backtracking of the tunnel fire event, improve the management granularity of the tunnel driving, and provide enough data support for the prevention and the treatment of the tunnel fire event.
2. According to the scheme, through the data analysis and early warning module, the fire hazard early warning and monitoring are carried out on the power transformation and distribution room according to the smoke monitoring information and the temperature information of the power transformation and distribution room, so that the early warning management of the potential fire hazard problem of the power transformation and distribution (room/room) in the tunnel is realized.
For tunnel factors, vehicles and fire risks such as cargoes carried, whether the temperatures of the vehicles are abnormal or not is analyzed according to the external environment temperature information, the vehicle image information and the temperature information of the vehicles, if so, fire primary hidden danger early warning information is generated, and the fire primary hidden danger early warning information is marked on the corresponding vehicles in the three-dimensional tunnel model. Meanwhile, the high-risk vehicle monitoring management module is used for analyzing and predicting the carried goods of various freight vehicles according to the vehicle image information and quantitatively analyzing the fire hazard level according to the combustion performance of the carried goods; and then dynamically adjusting the fire hazard level according to the temperature information change of the freight car. The condition that the fire disaster is caused by the vehicle is avoided by a visual and quantitative monitoring mode.
For fire risks such as tunnel traffic accidents, the collision situation of the vehicles is predicted and analyzed according to the driving track, the real position and the vehicle speed information of each vehicle, if collision exists, whether the temperature information of the vehicles changes is analyzed, and if the temperature information of the vehicles changes, fire secondary hidden danger early warning information is generated and marked on the corresponding vehicles in the three-dimensional tunnel model. When fire secondary hidden danger early warning information is generated, the trend of combining traffic accidents, tunnel factors, vehicles and fire factors of carried cargoes is shown, and important attention is needed; and analyzing smoke monitoring information of the fixed point position of the accessory, if smoke is detected, upgrading the smoke monitoring information into fire alarm information, and marking the fire alarm information on a corresponding vehicle in the three-dimensional tunnel model. So that measures can be taken later to effectively extinguish the disaster, and traffic interruption caused by serious disaster is avoided.
3. The scheme can monitor various fire hazards under the environment of the early warning tunnel, and improves the safety of expressway tunnel traffic. The problem of false alarm is avoided, and the workload of operation and maintenance personnel is reduced. And by combining and applying new generation information technologies such as the Internet of things, the Internet, cloud computing, data fusion, mobile office and the like, fire-fighting facilities such as fire automatic alarm equipment, a fire-fighting system, an electric fire system and the like which are scattered inside the tunnel are all perceived, so that comprehensive, remote and centralized monitoring management of the fire-fighting facilities associated with the networking tunnel is realized, and the fire safety of the tunnel is ensured.
Drawings
Fig. 1 is a logic block diagram of a tunnel fire hazard warning system based on multi-source data in a first embodiment of the present application.
Detailed Description
The following is a further detailed description of the embodiments:
example 1
The utility model provides a tunnel conflagration hidden danger early warning system based on multisource data, basically as shown in fig. 1, including server and data acquisition terminal, data acquisition terminal includes controller and a plurality of temperature sensor, visible light camera, infrared camera, smog alarm and radar module, and temperature sensor, visible light camera, infrared camera and radar module all are provided with inside and outside the tunnel, and visible light camera, infrared camera (visible light camera and infrared camera set up together) and radar module present alternately interval distribution, reduce the dead angle as far as possible. The smoke alarm is mainly arranged in the tunnel, and the controller is used for collecting data of each sensor in a centralized manner and then sending the data to the server. The server is connected to a tunnel ventilation system, the tunnel ventilation system adopts the existing tunnel ventilation system and comprises a controller and a ventilation pipeline, a plurality of electric control air valves and axial flow fans are arranged in the ventilation pipeline, and the electric control air valves and the axial flow fans are controlled by the controller. The server comprises the following modules:
and a data acquisition module: the system comprises a data acquisition terminal, a control terminal and a control terminal, wherein the data acquisition terminal is used for acquiring fire monitoring data in a tunnel and real-time driving data of a vehicle; the real-time driving data comprise vehicle speed information and vehicle real-time position information which are acquired based on a radar module, the vehicle real-time position information is acquired by analysis based on an image acquired by a visible light camera and scanning information of the radar module, and the fire monitoring data comprise external environment temperature information, vehicle image information (comprising vehicle appearance images and license plate information), vehicle temperature information (acquired by an infrared camera), power transformation and distribution room temperature information (acquired by a temperature sensor and an infrared camera together), smoke monitoring information of a power transformation and distribution room (acquired by a smoke alarm) and smoke monitoring information of a fixed point position (acquired by the smoke alarm);
the tunnel model monitoring module: the method comprises the steps of obtaining a built three-dimensional tunnel model, importing fire monitoring data and real-time running data of vehicles into the three-dimensional tunnel model, simulating the running track and the real position of each vehicle, marking the temperature information of each vehicle, marking the smoke monitoring information of a power transformation and distribution room and marking the smoke monitoring information of a fixed point position; the three-dimensional tunnel model adopts a conventional BIM model.
And the data analysis and early warning module: the system is used for carrying out fire hazard warning and monitoring on the power transformation and distribution room according to smoke monitoring information and temperature information of the power transformation and distribution room, detecting local environment temperature through a temperature sensor, and detecting the temperature of equipment through thermal imaging, such as a control cabinet, a cable junction and the like. The method is characterized in that the method comprises the steps of firstly collecting external environment temperature information outside a tunnel, wherein the external environment temperature information is collected firstly, the external environment temperature information is influenced by external illumination and the color of a vehicle body, the temperature of the vehicle can be influenced by the type of the vehicle, the three factors are combined and analyzed, the sample size is large, a conventional neural network model can be used, and whether the abnormality exists or not can be judged by inputting the three factors into the model. If the fire disaster primary hidden danger early warning information is abnormal, generating fire disaster primary hidden danger early warning information, and marking the fire disaster primary hidden danger early warning information on a corresponding vehicle in the three-dimensional tunnel model; the system is also used for predicting and analyzing the collision condition of the vehicles according to the vehicle track, the real position and the vehicle speed information of each vehicle (analyzing through a speed difference and model collision mode), if collision exists, analyzing whether the temperature information of the vehicles changes, if so, generating fire secondary hidden danger early warning information, and marking the fire secondary hidden danger early warning information on the corresponding vehicles in the three-dimensional tunnel model; the method is also used for analyzing whether the first-level hidden danger warning information of the fire exists in the vehicle corresponding to collision when the second-level hidden danger warning information of the fire is generated, and if so, generating the high-risk hidden danger warning information and marking the high-risk hidden danger warning information on the corresponding vehicle in the three-dimensional tunnel model; and analyzing smoke monitoring information of the fixed point position of the accessory, if smoke is detected, upgrading the smoke monitoring information into fire alarm information, and marking the fire alarm information on a corresponding vehicle in the three-dimensional tunnel model.
And the smoke discharge control management module: when fire alarm information is received, the position information of the vehicle corresponding to the fire source is obtained from the three-dimensional tunnel model, a plurality of electric control air valves near the fire source are only opened according to the position information of the vehicle, and then the axial flow fan at one side near the fire source is controlled to reverse, so that the air delivery duct of the suspended ceiling in the tunnel is changed into a discharge flue, and both sides of the fire source are in a safe air environment. A common cause of severe casualties caused by fire is that toxic and harmful gases cannot be separated and discharged in time to cause suffocation death of personnel, a centralized smoke discharging mode is usually combined with full-transverse and half-transverse ventilation modes in a normal operation stage, when the fire occurs, an axial flow fan is reversely used for discharging smoke, an air delivery duct of a suspended ceiling in a tunnel becomes a smoke discharging duct, only a plurality of air valves near a fire source are opened, fire smoke can be rapidly discharged from a vertical shaft and is effectively controlled, drivers and passengers on two sides of the fire source point are in a safe air environment, fire fighters can fight from two sides, and fire rescue capability is greatly improved.
High-risk vehicle monitoring management module: the system is used for analyzing and predicting the carried goods of various truck vehicles according to the vehicle image information, quantitatively analyzing the fire hazard level according to the combustion performance of the carried goods, for example, the fire hazard level of the tank truck is high, and the fire hazard level of the truck for delivering the fresh fruits and frozen goods is low in the fire hazard level of the express truck; the system is also used for dynamically adjusting the fire hazard level according to the temperature information change of the truck, and the lower the temperature of the truck is found (compared with the conventional temperature), the lower the fire hazard level is, so that the fire hazard level is properly reduced, the monitoring frequency is reduced, and the cost is reduced. Various vehicles passing through the tunnel are liable to cause fire due to failure of the vehicle itself, for example: friction fires, carburetor flashback, electrical line shorts, vehicle oil leaks, etc., are highly ambiguous. The combustion performance of the goods carried by various vehicles is different, and even the carried goods are inflammable and explosive dangerous goods. Important monitoring and prediction are needed for inflammable and explosive dangerous articles, so that the tunnel traffic safety is ensured.
A tunnel fire hazard early warning method based on multi-source data comprises the following steps:
and a data acquisition step: acquiring fire monitoring data and real-time driving data of a vehicle in a tunnel by a data acquisition terminal; the real-time driving data comprise vehicle speed information and vehicle real-time position information which are acquired based on a radar module, and the fire monitoring data comprise external environment temperature information, vehicle image information, vehicle temperature information, power transformation and distribution room temperature information, smoke monitoring information of the power transformation and distribution room and smoke monitoring information of a fixed point position;
and a tunnel model monitoring step: acquiring a constructed three-dimensional tunnel model, importing fire monitoring data and real-time running data of vehicles into the three-dimensional tunnel model, simulating the running track and the real position of each vehicle, marking the temperature information of each vehicle, and marking the smoke monitoring information of a power transformation and distribution room and the smoke monitoring information of a mark fixed point position;
and (3) data analysis and early warning: carrying out fire hazard early warning monitoring on the power transformation and distribution room according to smoke monitoring information and temperature information of the power transformation and distribution room; analyzing whether each vehicle has temperature abnormality according to the external environment temperature information, the vehicle image information and the temperature information of each vehicle, if so, generating fire primary hidden danger early warning information, and marking the fire primary hidden danger early warning information on the corresponding vehicle in the three-dimensional tunnel model; predicting and analyzing the collision condition of the vehicles according to the driving track, the real position and the vehicle speed information of each vehicle, if collision exists, analyzing whether the temperature information of the vehicles changes, if so, generating fire secondary hidden danger early warning information, and marking the fire secondary hidden danger early warning information on the corresponding vehicles in the three-dimensional tunnel model; when fire secondary hidden danger early warning information is generated, analyzing whether a vehicle corresponding to collision has fire primary hidden danger early warning information, if so, generating high-risk fire hidden danger early warning information, and marking the high-risk fire hidden danger early warning information on the corresponding vehicle in the three-dimensional tunnel model; and analyzing smoke monitoring information of the fixed point position of the accessory, if smoke is detected, upgrading the smoke monitoring information into fire alarm information, and marking the fire alarm information on a corresponding vehicle in the three-dimensional tunnel model.
And smoke discharge control and management step: when fire alarm information is received, position information of a vehicle corresponding to a fire source is obtained from the three-dimensional tunnel model, a plurality of electric control air valves near the fire source are only opened according to the position information of the vehicle, and then an axial flow fan at one side near the fire source is controlled to reverse, so that an air delivery duct of a suspended ceiling in the tunnel is changed into a discharge flue, and both sides of the fire source are in a safe air environment.
The high-risk vehicle monitoring and management steps are as follows: according to the vehicle image information, analyzing and predicting the carried goods of various freight vehicles, and quantitatively analyzing the fire hazard level according to the combustion performance of the carried goods; and then dynamically adjusting the fire hazard level according to the temperature information change of the freight car.
A computer readable storage medium, wherein the computer readable storage medium comprises a tunnel fire hazard early warning program based on multi-source data, and the tunnel fire hazard early warning program based on multi-source data realizes the steps of the tunnel fire hazard early warning method based on multi-source data when being executed by a processor.
Those skilled in the art will appreciate that implementing all or part of the above-described multi-source data-based tunnel fire hazard warning method may be accomplished by computer programs to instruct related hardware, where the programs may be stored in a non-volatile computer readable storage medium, and the programs may include, when executed, the flow of the embodiments of the multi-source data-based tunnel fire hazard warning method as described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
Example two
The radar module can acquire vehicle speed information and vehicle real-time position information, but cannot identify specific vehicle information, such as license plate information, while the visible light camera can acquire specific vehicle information, but positioning errors are large for the aspect of vehicle real-time position information. However, when an individual driver may perform operations such as parking and overtaking, the envisaged scene is destroyed, for example, the B car is not located between the a car and the C car, so that the positioning of the vehicle is not accurate enough, and the early warning analysis of the fire hazard of the tunnel is affected. The second embodiment is different from the first embodiment in that the data acquisition terminal further includes a plurality of WiFi modules, and the WiFi modules are disposed inside and outside the tunnel and are used for detecting WiFi hotspots of a vehicle data recorder configured on the vehicle; the server also comprises the following modules:
the positioning information analysis module: when a visible light camera outside a tunnel acquires vehicle information (license plate information) of a vehicle at a designated point, wiFi (wireless fidelity) hot spot information of a vehicle recorder of the vehicle corresponding to the vehicle information is analyzed synchronously through a WiFi module and a WiFi three-point positioning method which are arranged around the designated point; and binding the vehicle information with the WiFi hot spot information so as to assist in positioning. The vehicle auxiliary positioning information is analyzed according to the WiFi module and the WiFi hot spot information;
and a positioning verification interaction module: the method is used for performing interactive verification and supplement on the simulated running tracks of the vehicles, the real positions and the auxiliary positioning information of the vehicles, and marking the interactive verification and supplement in the three-dimensional tunnel model.
And a notification module: and the vehicle information is used for analyzing whether the vehicle moves in the dead angle area according to the vehicle auxiliary positioning information, if not, analyzing WiFi hot spot information of a vehicle recorder of the vehicle corresponding to the vehicle information according to a WiFi module and WiFi three-point positioning method, and contacting a driver of the vehicle with the bound vehicle information through the WiFi hot spot information to know the parking reason. In the radar module scanning area, scanning information of the radar module analyzes whether the vehicle moves, if not, wiFi hot spot information of a vehicle recorder of the vehicle corresponding to the vehicle information is analyzed according to a WiFi module and WiFi three-point positioning method, and then a driver of the vehicle is contacted with the bound vehicle information through the WiFi hot spot information. If the fire alarm information can be detected, the driver is informed to keep away from the vehicle.
The method further comprises the steps of:
and a positioning information analysis step: when a visible light camera outside a tunnel acquires vehicle information (license plate information) of a vehicle at a designated point, wiFi (wireless fidelity) hot spot information of a vehicle recorder of the vehicle corresponding to the vehicle information is analyzed synchronously through a WiFi module and a WiFi three-point positioning method which are arranged around the designated point; and binding the vehicle information with the WiFi hot spot information so as to assist in positioning. The vehicle auxiliary positioning information is analyzed according to the WiFi module and the WiFi hot spot information;
and (3) positioning verification interaction: and carrying out interactive verification and supplement on the simulated running tracks of the vehicles, the real positions and the auxiliary positioning information of the vehicles, and marking the interactive verification and supplement in the three-dimensional tunnel model.
A notification step: and in the dead angle area, whether the vehicle moves or not is analyzed according to the auxiliary positioning information of the vehicle, if the vehicle does not move, a driver of the vehicle is contacted with the bound vehicle information according to the WiFi hot spot information, and the parking reason is known. In the radar module scanning area, scanning information of the radar module analyzes whether the vehicle moves, if not, wiFi hot spot information of a vehicle recorder of the vehicle corresponding to the vehicle information is analyzed according to a WiFi module and WiFi three-point positioning method, and then a driver of the vehicle is contacted with the bound vehicle information through the WiFi hot spot information. If the fire alarm information can be detected, the driver is informed to keep away from the vehicle.
The foregoing is merely an embodiment of the present application, and general knowledge of specific structures and features well known in schemes is not described in any way herein, so that a person of ordinary skill in the art would know all of the prior art to which the present application pertains before the application date or priority date, and would be able to learn all of the prior art in this field, and have the ability to apply conventional experimental means before this date, so that a person of ordinary skill in the art could complete and implement this scheme in combination with his own capabilities, given the teachings of the present application, and some typical known structures or known methods should not be an obstacle to the implementation of the present application by those of ordinary skill in this art. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present application, and these should also be considered as the scope of the present application, which does not affect the effect of the implementation of the present application and the utility of the patent. The protection scope of the present application is subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (7)
1. Tunnel fire hazard early warning system based on multisource data, its characterized in that: the system comprises a server and a data acquisition terminal, wherein the data acquisition terminal comprises a temperature sensor, a visible light camera, an infrared camera, a smoke alarm and a radar module, and the server comprises the following modules:
and a data acquisition module: the system comprises a data acquisition terminal, a control terminal and a control terminal, wherein the data acquisition terminal is used for acquiring fire monitoring data in a tunnel and real-time driving data of a vehicle; the real-time driving data comprise vehicle speed information and vehicle real-time position information which are acquired based on a radar module, and the fire monitoring data comprise external environment temperature information, vehicle image information, vehicle temperature information, power transformation and distribution room temperature information, smoke monitoring information of the power transformation and distribution room and smoke monitoring information of a fixed point position;
the tunnel model monitoring module: the method comprises the steps of obtaining a built three-dimensional tunnel model, importing fire monitoring data and real-time running data of vehicles into the three-dimensional tunnel model, simulating the running track and the real position of each vehicle, marking the temperature information of each vehicle, marking the smoke monitoring information of a power transformation and distribution room and marking the smoke monitoring information of a fixed point position;
and the data analysis and early warning module: the system is used for carrying out fire hazard early warning monitoring on the power transformation and distribution room according to smoke monitoring information and temperature information of the power transformation and distribution room; the system is also used for analyzing whether each vehicle has temperature abnormality according to the external environment temperature information, the vehicle image information and the temperature information of each vehicle, if so, generating fire primary hidden danger early warning information and marking the fire primary hidden danger early warning information on the corresponding vehicle in the three-dimensional tunnel model; the system is also used for predicting and analyzing the collision condition of the vehicles according to the driving track, the real position and the vehicle speed information of each vehicle, analyzing whether the temperature information of the vehicles changes if the collision exists, generating fire secondary hidden danger early warning information if the temperature information of the vehicles changes, and marking the fire secondary hidden danger early warning information on the corresponding vehicles in the three-dimensional tunnel model; the method is also used for analyzing whether the first-level hidden danger warning information of the fire exists in the vehicle corresponding to collision when the second-level hidden danger warning information of the fire is generated, and if so, generating the high-risk hidden danger warning information and marking the high-risk hidden danger warning information on the corresponding vehicle in the three-dimensional tunnel model; and analyzing smoke monitoring information of the fixed point position of the accessory, if smoke is detected, upgrading the smoke monitoring information into fire alarm information, and marking the fire alarm information on a corresponding vehicle in the three-dimensional tunnel model.
2. The multi-source data based tunnel fire hazard warning system of claim 1, wherein: the server is connected to a tunnel ventilation system, the tunnel ventilation system comprises a plurality of electric control air valves and an axial flow fan, and the server further comprises the following modules:
and the smoke discharge control management module: when fire alarm information is received, the position information of the vehicle corresponding to the fire source is obtained from the three-dimensional tunnel model, a plurality of electric control air valves near the fire source are only opened according to the position information of the vehicle, and then the axial flow fan at one side near the fire source is controlled to reverse, so that the air delivery duct of the suspended ceiling in the tunnel is changed into a discharge flue, and both sides of the fire source are in a safe air environment.
3. The multi-source data based tunnel fire hazard warning system of claim 2, wherein: the server also comprises the following modules:
high-risk vehicle monitoring management module: the system is used for analyzing and predicting the carried goods of various freight cars according to the car image information and quantitatively analyzing the fire hazard level according to the combustion performance of the carried goods; and the fire hazard level is dynamically adjusted according to the temperature information change of the freight car.
4. The tunnel fire hazard early warning method based on the multi-source data is characterized by comprising the following steps of:
and a data acquisition step: acquiring fire monitoring data and real-time driving data of a vehicle in a tunnel by a data acquisition terminal; the real-time driving data comprise vehicle speed information and vehicle real-time position information which are acquired based on a radar module, and the fire monitoring data comprise external environment temperature information, vehicle image information, vehicle temperature information, power transformation and distribution room temperature information, smoke monitoring information of the power transformation and distribution room and smoke monitoring information of a fixed point position;
and a tunnel model monitoring step: acquiring a constructed three-dimensional tunnel model, importing fire monitoring data and real-time running data of vehicles into the three-dimensional tunnel model, simulating the running track and the real position of each vehicle, marking the temperature information of each vehicle, and marking the smoke monitoring information of a power transformation and distribution room and the smoke monitoring information of a mark fixed point position;
and (3) data analysis and early warning: carrying out fire hazard early warning monitoring on the power transformation and distribution room according to smoke monitoring information and temperature information of the power transformation and distribution room; analyzing whether each vehicle has temperature abnormality according to the external environment temperature information, the vehicle image information and the temperature information of each vehicle, if so, generating fire primary hidden danger early warning information, and marking the fire primary hidden danger early warning information on the corresponding vehicle in the three-dimensional tunnel model; predicting and analyzing the collision condition of the vehicles according to the driving track, the real position and the vehicle speed information of each vehicle, if collision exists, analyzing whether the temperature information of the vehicles changes, if so, generating fire secondary hidden danger early warning information, and marking the fire secondary hidden danger early warning information on the corresponding vehicles in the three-dimensional tunnel model; when fire secondary hidden danger early warning information is generated, analyzing whether a vehicle corresponding to collision has fire primary hidden danger early warning information, if so, generating high-risk fire hidden danger early warning information, and marking the high-risk fire hidden danger early warning information on the corresponding vehicle in the three-dimensional tunnel model; and analyzing smoke monitoring information of the fixed point position of the accessory, if smoke is detected, upgrading the smoke monitoring information into fire alarm information, and marking the fire alarm information on a corresponding vehicle in the three-dimensional tunnel model.
5. The tunnel fire hazard warning method based on multi-source data according to claim 4, wherein the method comprises the following steps: the method also comprises the following steps:
and smoke discharge control and management step: when fire alarm information is received, position information of a vehicle corresponding to a fire source is obtained from the three-dimensional tunnel model, a plurality of electric control air valves near the fire source are only opened according to the position information of the vehicle, and then an axial flow fan at one side near the fire source is controlled to reverse, so that an air delivery duct of a suspended ceiling in the tunnel is changed into a discharge flue, and both sides of the fire source are in a safe air environment.
6. The tunnel fire hazard warning method based on multi-source data according to claim 5, wherein the method comprises the following steps: the method also comprises the following steps:
the high-risk vehicle monitoring and management steps are as follows: according to the vehicle image information, analyzing and predicting the carried goods of various freight vehicles, and quantitatively analyzing the fire hazard level according to the combustion performance of the carried goods; and then dynamically adjusting the fire hazard level according to the temperature information change of the freight car.
7. A computer-readable storage medium, characterized by: the computer readable storage medium comprises a tunnel fire hazard warning program based on multi-source data, and when the tunnel fire hazard warning program based on multi-source data is executed by a processor, the steps of the tunnel fire hazard warning method based on multi-source data according to any one of claims 4 to 6 are realized.
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