Fire-fighting monitoring method and system for electric vehicle charging area and electronic equipment

Abstract

The invention provides a fire-fighting monitoring method and system for an electric vehicle charging area and electronic equipment, and the method comprises the steps: obtaining an initial temperature collected by a thermoelectric sensor for a measured target point; determining a compensation temperature; the compensation temperature comprises distance compensation temperature and environment compensation temperature; performing compensation processing on the initial temperature based on the compensation temperature to obtain a final temperature; if the final temperature exceeds the preset temperature threshold value, based on the installation position of the thermoelectric sensor, determining a sub-area with a fire risk in the electric vehicle charging area; and if the sub-region with the fire-fighting risk meets the preset fire-fighting condition, controlling to execute a specified fire-fighting measure to the sub-region with the fire-fighting risk. In the mode, temperature monitoring is realized based on temperature compensation processing, the sub-regions with fire risk can be intelligently identified and corresponding measures can be taken, the management efficiency of the electric vehicle charging region is improved, the potential safety hazard is favorably solved, and the fire safety is ensured.

Description

Technical Field

[0001] The present disclosure relates to the field of fire safety technology, and in particular to a fire monitoring method, system and electronic equipment for an electric vehicle charging area. Background Art

[0002] Electric vehicle charging areas can provide charging services for electric vehicles. During the charging process, electric vehicles may experience electrical failures, equipment overheating, and other problems. The charging equipment itself may also fail, so both the electric vehicle and the charging equipment may cause fires in the electric vehicle charging area. Most of the related technologies rely on basic charging facilities and manual supervision to ensure the fire safety of electric vehicle charging areas, but this method has high safety risks and low management efficiency. Summary of the invention

[0003] In view of this, the purpose of the present disclosure is to provide a fire monitoring method, system and electronic equipment for an electric vehicle charging area to improve the management efficiency of the electric vehicle charging area, which is conducive to solving safety hazards and ensuring fire safety.

[0004] In a first aspect, an embodiment of the present disclosure provides a fire monitoring method for an electric vehicle charging area, the method is applied to an electronic device, the electronic device is connected to a thermoelectric sensor; the thermoelectric sensor is installed at a specified position in the electric vehicle charging area; the electric vehicle charging area is pre-divided into multiple subspaces; the subspace is pre-divided into multiple area blocks; the area block is pre-divided into multiple subareas; the method includes: obtaining the initial temperature collected by the thermoelectric sensor for the target point to be measured; determining the compensation temperature; the compensation temperature includes the distance compensation temperature and the environment compensation temperature; compensating the initial temperature based on the compensation temperature to obtain the final temperature; if the final temperature exceeds a preset temperature threshold, based on the installation position of the thermoelectric sensor, determining the subarea with fire risk in the electric vehicle charging area; if the subarea with fire risk meets the preset fire condition, controlling the execution of specified fire measures in the subarea with fire risk.

[0005] The step of determining the compensation temperature includes: searching for the distance compensation temperature corresponding to the distance between the thermoelectric sensor and the measured target point from a preset distance temperature compensation curve.

[0006] After the above step of searching for the distance compensation temperature corresponding to the distance between the thermoelectric sensor and the target point to be measured from the preset distance temperature compensation curve, the method also includes: searching for the environmental compensation temperature corresponding to the initial temperature from the preset environmental temperature compensation curve; and taking the sum of the distance compensation temperature and the environmental compensation temperature as the final compensation temperature.

[0007] After the above step of searching for the distance compensation temperature corresponding to the distance between the thermoelectric sensor and the target point to be measured from the preset distance temperature compensation curve, the method also includes: inputting the initial temperature into a pre-trained machine learning model, and outputting the environmental compensation temperature corresponding to the initial temperature; wherein the machine learning model is pre-trained using historical data; the historical data includes environmental data and temperature data; and taking the sum of the distance compensation temperature and the environmental compensation temperature as the final compensation temperature.

[0008] The above-mentioned electric vehicle charging area is equipped with multiple thermoelectric sensors; before the above-mentioned step of compensating the initial temperature based on the compensation temperature to obtain the final temperature, the method also includes: allocating weight values ​​to the multiple initial temperatures based on the installation positions of the multiple thermoelectric sensors and the distances between the multiple thermoelectric sensors and the target points to be measured; determining the final initial temperature based on the multiple initial temperatures, the weight values ​​corresponding to the multiple initial temperatures and the number of initial temperatures.

[0009] At least one thermoelectric sensor is installed in each of the above subspaces; if the final temperature exceeds a preset temperature threshold, the step of determining the sub-area with fire risk in the electric vehicle charging area based on the installation position of the thermoelectric sensor includes: counting the number of target points of the measured target points whose final temperature exceeds the preset temperature threshold in each sub-area; if the number of target points is greater than or equal to the preset target point number threshold, determining the sub-area as a sub-area with fire risk; determining that the sub-area with fire risk reaches the first warning level, and generating a first warning signal.

[0010] After the above steps of determining that the sub-area with fire risk has reached the first warning level and generating a first warning signal, the method also includes: counting the number of sub-areas that have reached the first warning level in each area block; if the number of sub-areas that have reached the first warning level is greater than or equal to a preset number threshold, determining the area block as an area block with fire risk; determining that the area block with fire risk has reached the second warning level, and generating a second warning signal.

[0011] The above-mentioned electronic equipment is connected to a monitoring camera; the monitoring camera is installed in the electric vehicle charging area; the above-mentioned step of controlling the execution of specified fire-fighting measures in the sub-area with fire risk if the sub-area with fire risk meets the preset fire-fighting conditions includes: continuing to monitor the final temperature of the thermoelectric sensor corresponding to the sub-area with fire risk; if the final temperature exceeds the preset temperature threshold for a duration greater than the preset duration threshold, obtaining a first monitoring image of the sub-area with fire risk through the monitoring camera; determining whether the sub-area with fire risk meets the preset fire-fighting conditions based on the first monitoring image; wherein the preset fire-fighting conditions include: the presence of smoke or open flames in the first monitoring image; if the sub-area with fire risk meets the preset fire-fighting conditions, controlling the execution of specified fire-fighting measures in the sub-area with fire risk.

[0012] The above-mentioned control steps of executing designated fire-fighting measures in the sub-area with fire risk include at least one of the following: generating fire alarm information and sending the fire alarm information to designated equipment; starting the sound and light alarm; the sound and light alarm is installed in the electric vehicle charging area; starting the fire water solenoid valve; the fire water solenoid valve is installed at the corresponding position of the sub-area with fire risk, and the fire water solenoid valve is connected to the water source after starting.

[0013] The above-mentioned electronic device is connected to a surveillance camera; the surveillance camera is installed in the electric vehicle charging area; before the above-mentioned step of obtaining the initial temperature collected by the thermoelectric sensor at the target point to be measured, the method also includes: obtaining a second surveillance image of the electric vehicle charging area through the surveillance camera; identifying whether there is an obstruction that obstructs the target point to be measured in the second surveillance image; if there is an obstruction that obstructs the target point to be measured in the second surveillance image, generating obstruction alarm information.

[0014] In a second aspect, an embodiment of the present disclosure provides a fire monitoring system for an electric vehicle charging area, the system comprising an electronic device, and a thermoelectric sensor, a surveillance camera, an audible and visual alarm, and a fire water solenoid valve connected to the electronic device; the electronic device executes the above-mentioned fire monitoring method for the electric vehicle charging area; the thermoelectric sensor, the surveillance camera, the audible and visual alarm, and the fire water solenoid valve are installed in the electric vehicle charging area.

[0015] In a third aspect, an embodiment of the present invention provides an electronic device, including a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the above-mentioned fire monitoring method for the electric vehicle charging area.

[0016] The embodiments of the present disclosure bring the following beneficial effects:

[0017] The above provides a fire monitoring method, system and electronic equipment for an electric vehicle charging area, wherein the method includes: obtaining an initial temperature collected by a thermoelectric sensor at a measured target point; determining a compensation temperature; the compensation temperature includes a distance compensation temperature and an environment compensation temperature; compensating the initial temperature based on the compensation temperature to obtain a final temperature; if the final temperature exceeds a preset temperature threshold, determining a sub-area with a fire risk in the electric vehicle charging area based on the installation position of the thermoelectric sensor; if the sub-area with a fire risk meets a preset fire condition, controlling the execution of specified fire measures in the sub-area with a fire risk.

[0018] In this method, the initial temperature of the measured target point is compensated by temperature compensation to obtain the final temperature. When the final temperature exceeds the preset temperature threshold, the sub-area with fire risk is determined, and the designated fire protection measures are performed on the sub-area with fire risk that meets the preset fire protection conditions. This method realizes temperature monitoring based on temperature compensation processing, and can intelligently identify sub-areas with fire risk and take corresponding measures, thereby improving the management efficiency of electric vehicle charging areas, and is conducive to solving safety hazards and ensuring fire safety.

[0019] Other features and advantages of the present disclosure will be described in the following description, and partly become apparent from the description, or understood by practicing the present disclosure. The purpose and other advantages of the present disclosure are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0020] In order to make the above-mentioned objectives, features and advantages of the present disclosure more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the specific embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the specific embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0022] Figure 1 A flow chart of a fire monitoring method for an electric vehicle charging area provided in an embodiment of the present disclosure;

[0023] Figure 2 A schematic diagram of equipment distribution for fire monitoring in an electric vehicle charging area provided in an embodiment of the present disclosure;

[0024] Figure 3 A schematic diagram of a spatial connectivity analysis of an over-temperature area provided in an embodiment of the present disclosure;

[0025] Figure 4 A logical flow diagram of fire monitoring in an electric vehicle charging area provided in an embodiment of the present disclosure;

[0026] Figure 5 A schematic diagram of the structure of a fire monitoring system for an electric vehicle charging area provided in an embodiment of the present disclosure;

[0027] Figure 6 A schematic diagram of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present disclosure, rather than all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present disclosure.

[0029] At present, charging sheds are set up in public places such as residential areas and commercial areas as electric vehicle charging areas, which can provide charging services for electric vehicles. During the charging process, electric vehicles may experience electrical failures, equipment overheating, and other problems. The charging equipment itself may also fail, so both electric vehicles and charging equipment may cause fires in electric vehicle charging areas. Most of the related technologies rely on basic charging facilities and manual supervision to ensure the fire safety of electric vehicle charging areas, but this method has high safety risks and low management efficiency.

[0030] Based on the above, the embodiments of the present disclosure provide a fire monitoring method, system and electronic equipment for an electric vehicle charging area. The technology can also be applied to fire monitoring in other areas, such as an electric vehicle charging area.

[0031] To facilitate understanding of this embodiment, a specific process of the embodiment of the present disclosure is described below. Figure 1 In one embodiment of the present disclosure, a fire monitoring method for an electric vehicle charging area is applied to an electronic device, and the electronic device is connected to a thermoelectric sensor, and the communication connection can be carried out through the RS485 serial communication protocol. The thermoelectric sensor can be a thermocouple sensor or a thermopile sensor. The thermocouple sensor is a temperature sensor. The thermopile sensor is an electronic instrument that converts thermal power into electrical power. It is used to measure small temperature differences or average temperatures through infrared temperature measurement.

[0032] Thermoelectric sensors are installed at designated locations in the electric vehicle charging area, such as the top and front end of the electric vehicle charging area. Thermopile sensors and thermocouple sensors placed in various areas can be used for temperature correction. If the thermoelectric sensor measures temperature through infrared rays, the time interval can be set in advance, and then the thermoelectric sensor can be controlled to scan the target points in the electric vehicle charging area according to the time interval.

[0033] The above electric vehicle charging area is pre-divided into multiple subspaces; the subspaces are pre-divided into multiple area blocks; the area blocks are pre-divided into multiple subareas. In practical applications, it can be understood that the charging shed contains several subspaces, the subspace contains several area blocks, and the area block contains several subareas.

[0034] The method includes:

[0035] Step S101, obtaining the initial temperature of the target point to be measured collected by the thermoelectric sensor;

[0036] The present disclosure is applied to electronic devices, which may be terminals or servers, and the electronic devices may ensure fire safety in electric vehicle charging areas through functions such as temperature compensation calculation, temperature warning calculation, and sending fire instructions. The following execution subject is described using a terminal as an example, and the terminal is usually an intelligent management terminal.

[0037] Here, the terminal has multiple input interfaces, output interfaces and RS485 interfaces, which collect various sensor data, send control instructions and realize information transmission through multiple interfaces; for example, it sends start signals to the sound and light alarm and fire water solenoid valve, and communicates with the surveillance camera through the GB28181 protocol.

[0038] The measured target points usually include multiple ones, and the multiple measured target points can be located in a preset range of the electric vehicle.

[0039] Specifically, the terminal obtains the initial temperature collected by at least one thermoelectric sensor through the RS485 interface. The initial temperature may be the ambient temperature or the temperature of the target point to be measured.

[0040] Step S102, determining the compensation temperature; the compensation temperature includes the distance compensation temperature and the environment compensation temperature;

[0041] Specifically, the terminal calculates the distance between the thermoelectric sensor and the target point to be measured based on the vertical distance between the thermoelectric sensor and the electric vehicle installation surface, the height of the target point to be measured from the ground, and the horizontal distance between the thermoelectric sensor and the electric vehicle; then the distance compensation temperature can be obtained according to the distance between the thermoelectric sensor and the target point to be measured, and the environmental compensation temperature can be obtained according to the initial temperature, and the distance compensation temperature and the environmental compensation temperature are fitted to obtain the final compensation temperature.

[0042] In one implementation, the terminal searches for a distance compensation temperature corresponding to the distance between the thermoelectric sensor and the target point to be measured in a preset distance temperature compensation curve.

[0043] Optionally, the terminal searches for the environmental compensation temperature corresponding to the initial temperature in a preset ambient temperature compensation curve according to the temperature range in which the initial temperature is located; or, historical data of various environmental factors and measured temperatures are collected in advance, where the environmental factors may include ambient temperature, emissivity, distance, etc., and the machine learning model is trained with historical data to obtain a trained machine learning model, and then the initial temperature is input into the trained machine learning model to output the environmental compensation temperature corresponding to the initial temperature.

[0044] Step S103, compensating the initial temperature based on the compensation temperature to obtain a final temperature;

[0045] Specifically, the terminal performs compensation processing on the initial temperature of the measured target point according to the compensation temperature to obtain the final temperature, for example, superimposing the compensation temperature on the initial temperature of the measured target point.

[0046] In one implementation, before the initial temperature of the measured target point is compensated, the initial temperature can be corrected first. For example, for multiple thermoelectric sensors installed in the electric vehicle charging area, after the terminal obtains the initial temperature collected by each thermoelectric sensor at the measured target point, it obtains the distance between the thermoelectric sensor and the measured target point according to the installation position of the thermoelectric sensor and the position of the measured target point, and then assigns weights to the multiple initial temperatures. Here, different weight values ​​are assigned to multiple initial temperatures according to distance and position, and a more accurate weighted average value can be calculated as the final initial temperature.

[0047] Step S104, if the final temperature exceeds a preset temperature threshold, determining a sub-area with a fire risk in the electric vehicle charging area based on the installation position of the thermoelectric sensor;

[0048] The sub-area with fire risk mentioned above usually surrounds a number of measured target points corresponding to the final temperatures exceeding a preset temperature threshold.

[0049] Specifically, if there is a final temperature that exceeds a preset temperature threshold, then for each thermoelectric sensor, the terminal counts the final temperatures corresponding to the thermoelectric sensor and multiple measured target points; then, based on the installation position of the thermoelectric sensor, the terminal determines the subspace where the measured target points whose final temperature is greater than the temperature threshold are located in the electric vehicle charging area, and then determines the sub-area with fire risk.

[0050] In one implementation, when there is a measured target point in a sub-area whose final temperature exceeds a preset temperature threshold, the terminal determines whether the sub-area has a fire risk and reaches the first warning level based on the number of target points in the sub-area whose final temperature is greater than the temperature threshold; further, the terminal determines whether the area block has a fire risk and reaches the second warning level based on the number of sub-areas in the area block that reach the first warning level. Here, the terminal can send a warning signal to the monitoring system or platform application according to the warning level to notify the staff to implement corresponding emergency measures.

[0051] Step S105: If the sub-area with fire risk meets the preset fire condition, control the execution of designated fire measures in the sub-area with fire risk.

[0052] The preset firefighting condition may generally be an indication of a fire, such as smoke or open flame, etc. The designated firefighting measures may include sending a firefighting alarm message, activating an audible and visual alarm, activating a firefighting water solenoid valve to extinguish a fire in a sub-area with a fire risk, etc.

[0053] Specifically, if there is a sub-area with fire risk in the electric vehicle charging area, the terminal continues to monitor the final temperature of the thermoelectric sensor corresponding to the sub-area with fire risk, and records the duration that the final temperature exceeds the preset temperature threshold; if the duration is greater than the preset duration threshold, and the sub-area with fire risk meets the preset fire conditions, the terminal outputs a control signal to execute specified fire measures to the sub-area with fire risk.

[0054] The above provides a fire monitoring method for an electric vehicle charging area, which obtains the initial temperature collected by a thermoelectric sensor at a measured target point; determines a compensation temperature; the compensation temperature includes a distance compensation temperature and an environment compensation temperature; the initial temperature is compensated based on the compensation temperature to obtain a final temperature; if the final temperature exceeds a preset temperature threshold, a sub-area with a fire risk in the electric vehicle charging area is determined based on the installation position of the thermoelectric sensor; if the sub-area with a fire risk meets a preset fire condition, a specified fire protection measure is controlled to be executed in the sub-area with a fire risk.

[0055] In this method, the initial temperature of the measured target point is compensated by temperature compensation to obtain the final temperature. When the final temperature exceeds the preset temperature threshold, the sub-area with fire risk is determined, and the designated fire protection measures are performed on the sub-area with fire risk that meets the preset fire protection conditions. This method realizes temperature monitoring based on temperature compensation processing, and can intelligently identify sub-areas with fire risk and take corresponding measures, thereby improving the management efficiency of electric vehicle charging areas, and is conducive to solving safety hazards and ensuring fire safety.

[0056] The following embodiments provide specific implementation methods for determining the compensation temperature.

[0057] In one method, the distance compensation temperature corresponding to the distance between the thermoelectric sensor and the target point to be measured is found from a preset distance temperature compensation curve.

[0058] Specifically, according to the distance between the thermoelectric sensor and the target point to be measured, the corresponding coordinate point is found from the preset distance temperature compensation curve. For example, the distance L between the thermoelectric sensor and the target point to be measured is used as the horizontal coordinate, and the vertical coordinate Y of the distance compensation temperature is found from the preset distance temperature compensation curve. The distance between the thermoelectric sensor and the target point to be measured is different, and the distance compensation temperature found is usually also different.

[0059] Here, the distance between the pyroelectric sensor and the target point to be measured is determined based on the vertical distance between the pyroelectric sensor and the electric vehicle installation surface, the height of the target point to be measured from the ground, and the horizontal distance between the pyroelectric sensor and the electric vehicle.

[0060] For example, the terminal calculates the distance L between the thermoelectric sensor and the target point by the Pythagorean theorem, such as the calculation formula: (Ah) 2 +(h / A*B) 2 =L 2 , where A is the vertical distance between the thermoelectric sensor and the electric vehicle placement surface; h is the height of the target point to be measured from the ground; and B is the horizontal distance between the thermoelectric sensor and the electric vehicle.

[0061] Furthermore, the environmental compensation temperature corresponding to the initial temperature is found from a preset environmental temperature compensation curve; and the sum of the distance compensation temperature and the environmental compensation temperature is taken as the final compensation temperature.

[0062] Specifically, according to the initial temperature, the corresponding coordinate point is searched from the preset ambient temperature compensation curve. For example, the initial temperature W is used as the horizontal coordinate, and the vertical coordinate C of the ambient compensation temperature is searched from the preset ambient temperature compensation curve. The ambient compensation temperature obtained is usually different for different initial temperatures. Then the terminal can add the distance compensation temperature and the ambient compensation temperature to obtain the final compensation temperature.

[0063] In one method, the initial temperature is input into a pre-trained machine learning model, and the environmental compensation temperature corresponding to the initial temperature is output; wherein the machine learning model is pre-trained using historical data; the historical data includes environmental data and temperature data; and the sum of the distance compensation temperature and the environmental compensation temperature is used as the final compensation temperature.

[0064] Specifically, the machine learning model is pre-trained with environmental data and temperature data in historical data so that the machine learning model can capture the connection between temperature and environmental factors; then the machine learning model is optimized through cross-validation to ensure the accuracy and generalization ability of the machine learning model under different conditions.

[0065] The terminal inputs the initial temperature into a pre-trained machine learning model, such as a trained neural network model or a random forest model, and outputs the ambient compensation temperature corresponding to the initial temperature; then the distance compensation temperature and the ambient compensation temperature can be added to obtain the final compensation temperature.

[0066] In the above manner, by performing corresponding temperature compensation or temperature calibration on the distance or environment, it is beneficial to improve the stability and accuracy of the temperature data obtained by the thermoelectric sensor.

[0067] The electric vehicle charging area is equipped with a plurality of thermoelectric sensors. In one embodiment, weight values ​​are assigned to the plurality of initial temperatures based on the installation positions of the plurality of thermoelectric sensors and the distances between the plurality of thermoelectric sensors and the target point to be measured; and the final initial temperature is determined based on the plurality of initial temperatures, the weight values ​​corresponding to the plurality of initial temperatures, and the number of initial temperatures.

[0068] For example, two thermoelectric sensors are selected, and after the terminal obtains multiple initial temperatures collected by each thermoelectric sensor for the target point to be measured, a weight value is assigned to each initial temperature according to the installation position of each thermoelectric sensor and the distance between each thermoelectric sensor and the target point to be measured.

[0069] Then the terminal calculates the weighted average value according to the multiple initial temperatures, the weight values ​​corresponding to the multiple initial temperatures, and the number of initial temperatures, such as the calculation formula: Where n represents the number of initial temperatures, Xn represents the nth initial temperature, and fn represents the weight value corresponding to the nth initial temperature.

[0070] Here, different weight values ​​are assigned to multiple initial temperatures according to distance and position, and the calculated weighted average is used as the final initial temperature. The calculation result is more accurate, reducing the probability of misjudgment of fire risk.

[0071] In one embodiment, if there is no final temperature in the electric vehicle charging area that exceeds a preset temperature threshold, then there is no fire risk in the electric vehicle charging area, the scanning time corresponding to the thermoelectric sensor will be updated and cleared, and the time interval for the thermoelectric sensor to scan the target point will be shortened until the next scheduled scan is performed.

[0072] The following embodiments provide a specific implementation method for determining a sub-area with fire risk in an electric vehicle charging area.

[0073] At least one thermoelectric sensor is installed in each of the subspaces.

[0074] For example, Figure 2 The electric vehicle charging area is pre-divided into four subspaces, each of which is equipped with a thermoelectric sensor; wherein 1 is a first thermopile array sensor, 2 is a second thermopile array sensor, 3 is a third thermopile array sensor, 4 is a fourth thermopile array sensor, and 8 is a thermocouple sensor.

[0075] In one method, the number of target points of the measured target points whose final temperature exceeds a preset temperature threshold in each sub-area is counted; if the number of target points is greater than or equal to the preset target point number threshold, the sub-area is determined to be a sub-area with a fire risk; it is determined that the sub-area with a fire risk reaches a first warning level, and a first warning signal is generated.

[0076] For example, a four-neighborhood labeling algorithm can be used to perform spatial connectivity analysis on the measured target points whose final temperature exceeds a preset temperature threshold, thereby identifying and labeling high-temperature areas. Figure 3 In the figure, C is the target point under test whose final temperature exceeds the preset temperature threshold, and C is marked in the sub-area.

[0077] Here, when there are measured target points whose final temperature exceeds the preset temperature threshold in the sub-area, for each sub-area, the terminal counts the number of target points whose final temperature exceeds the preset temperature threshold in the sub-area; if the number of target points is greater than or equal to the preset target point number threshold, such as greater than or equal to four, then the sub-area is judged to be a sub-area with fire risk, reaching the first warning level, and the terminal generates a first warning signal and uploads it to the monitoring background or application to notify the staff to implement the emergency measures corresponding to the first warning signal. In addition, if the number of target points is less than the preset target point number threshold, the terminal can send a photoelectric prompt control signal, such as starting the sound and light alarm in the electric vehicle charging area.

[0078] In one method, the number of sub-areas reaching the first warning level in each area block is counted; if the number of sub-areas reaching the first warning level is greater than or equal to a preset number threshold, the area block is determined to be an area block with fire risk; it is determined that the area block with fire risk reaches the second warning level, and a second warning signal is generated.

[0079] For example, for each area block, the terminal counts the number of sub-areas in the area block that reach the first warning level; if the number is greater than or equal to two, then the area block is judged to have reached the second warning level, and the terminal generates a second warning signal and uploads it to the monitoring background or application, notifying the staff to implement emergency measures corresponding to the second warning signal.

[0080] In the above method, the warning level is determined by counting the number of measured target points in the electric vehicle charging area that exceed the preset temperature threshold or the number of sub-areas that reach the first warning level, thereby more effectively identifying potential fire risks.

[0081] The above electronic equipment is connected to a surveillance camera; the surveillance camera is installed in the electric vehicle charging area. Figure 2 Among them, 5 is a surveillance camera.

[0082] In one method, the final temperature of the thermoelectric sensor corresponding to the sub-area with fire risk continues to be monitored; if the final temperature exceeds the preset temperature threshold for a duration greater than the preset duration threshold, a first monitoring image of the sub-area with fire risk is obtained through a monitoring camera; based on the first monitoring image, it is determined whether the sub-area with fire risk meets the preset fire conditions; wherein the preset fire conditions include: the presence of smoke or open flames in the first monitoring image; if the sub-area with fire risk meets the preset fire conditions, control the execution of specified fire measures in the sub-area with fire risk.

[0083] Specifically, if there is a sub-area with fire risk in the electric vehicle charging area, the terminal continues to monitor the final temperature of the thermoelectric sensor corresponding to the sub-area with fire risk, and records the duration of the final temperature exceeding the preset temperature threshold; when the duration is greater than the preset duration threshold, the first monitoring image captured by the monitoring camera is used to determine whether the sub-area with fire risk meets the preset fire condition, and the preset fire condition may be the presence of smoke or open flames in the first monitoring image. Optionally, if there is a sub-area with fire risk that meets the preset fire condition, the terminal can control multiple devices to execute specified fire measures to the sub-area with fire risk, such as sending fire alarm information, activating sound and light alarms, and activating fire water solenoid valves to extinguish fires in the sub-area with fire risk.

[0084] In the above method, when the duration of the over-temperature warning exceeds the threshold, the monitoring images taken by the monitoring camera are used to determine whether the sub-area with fire risk meets the fire conditions, and then different fire strategies are implemented.

[0085] In one embodiment, the specific implementation method of controlling the execution of designated firefighting measures in a sub-area with fire risk includes at least one of the following:

[0086] Method 1: Generate fire alarm information and send the fire alarm information to the designated device;

[0087] The terminal generates fire alarm information, which can then be sent to multiple user terminals through the monitoring system and application software.

[0088] Method 2: Activate the sound and light alarm; the sound and light alarm is installed in the electric vehicle charging area;

[0089] When the terminal outputs a fire control signal, the fire extinguishing function is activated, and the sound and light alarm corresponding to the electric vehicle charging area is activated in conjunction.

[0090] Method three, start the fire water solenoid valve; the fire water solenoid valve is installed at the corresponding position of the sub-area with fire risk, and the fire water solenoid valve is connected to the water source after being started.

[0091] When the terminal outputs a fire control signal, the fire water solenoid valve corresponding to the sub-area with fire risk is activated to extinguish the fire in the sub-area with fire risk; Figure 2 Among them, 6 is a fire water pipe, and the fire water solenoid valve after being started can obtain water through the fire water pipe.

[0092] At the same time, the terminal continuously monitors sub-areas with fire risks, and determines whether the fire has spread or weakened through the information output by the monitoring camera and thermoelectric sensor. If the fire spreads, it will continue to activate the fire water solenoid valves corresponding to other sub-areas with fire risks, and send the fire situation to the fire information platform; if the open fire is extinguished by the fire water solenoid valve, the fire alarm will be lifted.

[0093] The above electronic equipment is connected to a surveillance camera; the surveillance camera is installed in the electric vehicle charging area.

[0094] In one method, a second monitoring image of the electric vehicle charging area is obtained through a monitoring camera; whether there is an obstruction that obstructs the measured target point in the second monitoring image is identified; if there is an obstruction that obstructs the measured target point in the second monitoring image, an obstruction alarm message is generated.

[0095] Specifically, the terminal can transmit, exchange and control information with the surveillance camera according to the GB28181 protocol. Here, a second surveillance image of the electric charging area is obtained from the surveillance camera, and then it is identified whether the measured target point in the second surveillance image is blocked by an obstruction, such as the electric vehicle is covered by a car cover.

[0096] Here, if there is a target point being measured in the second monitoring image that is obstructed by an obstruction, an obstruction alarm message is generated and sent to the monitoring system and application together with the second monitoring image to notify the staff to handle it in time; after the obstruction is removed, the staff can record and confirm the handling situation and eliminate the obstruction alarm message in time.

[0097] In one embodiment, if Figure 4 As shown, the specific implementation method of fire monitoring in the electric vehicle charging area is introduced.

[0098] Step S401, dividing the electric vehicle charging area into a plurality of subspaces, each subspace including at least one measured target point, and collecting the initial temperature of each measured target point through a thermoelectric sensor corresponding to each subspace;

[0099] Step S402, the surveillance camera identifies the surveillance image through an artificial intelligence algorithm and determines whether the target point to be measured in the surveillance image is blocked; if it is blocked, a message is sent to the surveillance system to notify the staff to remove the blocking object; if it is not blocked, the next step is executed;

[0100] Step S403, temperature compensation calculation, the built-in algorithm of the machine learning model calculates the distance between the thermoelectric sensor and the target point to be measured by the Pythagorean theorem to obtain the distance compensation temperature; the environmental compensation temperature is obtained by the real-time environmental temperature;

[0101] Step S404, temperature calibration calculation, obtaining compensation temperature by fitting distance compensation temperature and environment compensation temperature, compensating multiple initial temperatures collected by the thermoelectric sensor by the compensation temperature, and obtaining a more accurate final temperature by weighted average calculation;

[0102] Step S405, collecting the temperature of the target point in each subspace, and periodically scanning the area temperature of the subspace by a thermoelectric sensor;

[0103] Step S406, temperature warning calculation, to determine whether the final temperature exceeds the preset temperature threshold; if not, the timer is reset to zero; if so, proceed to the next step;

[0104] Step S407, over-temperature point warning calculation, counting whether the number of target points of the measured target points in the subspace exceeds the preset target point number threshold; if not, generate warning information and perform photoelectric prompt; if yes, execute the next step;

[0105] Step S408, over-temperature duration warning calculation, to determine whether the over-temperature duration reaches the preset duration threshold; if not, shorten the time interval for scanning the key areas; if yes, use the surveillance camera to determine whether there is smoke or open fire in the surveillance image of the key areas; if not, cancel the warning and reset the system; if yes, generate fire alarm information, activate the sound and light alarm, and activate the fire extinguishing system;

[0106] Step S409, the fire water solenoid valve corresponding to the current subspace is opened, and the fire water covers the over-temperature area to extinguish the fire;

[0107] Step S410, continuously monitor the over-temperature area to determine whether the fire is expanding or weakening; if the fire is over, cancel the warning; if the fire expands, continue to start the fire water solenoid valves of the subspaces corresponding to other over-temperature areas, and send the fire linkage to the fire information platform.

[0108] Corresponding to the above method embodiment, see Figure 5 A schematic diagram of the structure of a fire monitoring system for an electric vehicle charging area is shown, the system comprising an electronic device 51, and a thermoelectric sensor 52, a monitoring camera 53, an audible and visual alarm 54 and a fire water solenoid valve 55 connected to the electronic device;

[0109] The electronic device executes the fire monitoring method for the electric vehicle charging area;

[0110] Thermoelectric sensors, surveillance cameras, sound and light alarms and fire water solenoid valves are installed in the electric vehicle charging area.

[0111] The above embodiments of the present disclosure have the following advantages:

[0112] This embodiment uses high-precision temperature monitoring and real-time fire warning functions to ensure safe operation of electric vehicle charging areas.

[0113] This embodiment compensates the measured temperature by means of temperature compensation, and determines the sub-area with fire risk according to the final temperature obtained, thereby effectively solving the problem of low efficiency and low safety of charging facilities relying on infrastructure and manual supervision, so as to meet a wider market demand.

[0114] This embodiment can intelligently identify fire situations and take different measures to extinguish fires, thereby improving the safety of electric vehicle charging areas.

[0115] This embodiment also provides an electronic device, including a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the fire monitoring method for the electric vehicle charging area. The electronic device can be a server or a terminal device.

[0116] See also Figure 6 As shown, the electronic device includes a processor 100 and a memory 101, wherein the memory 101 stores computer executable instructions that can be executed by the processor 100, and the processor 100 executes the computer executable instructions to implement the fire monitoring method for the electric vehicle charging area.

[0117] Further, Figure 6 The electronic device shown further includes a bus 102 and a communication interface 103 , and the processor 100 , the communication interface 103 and the memory 101 are connected via the bus 102 .

[0118] The memory 101 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk storage. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 103 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used. The bus 102 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0119] The processor 100 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 100. The above processor 100 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present invention can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module may be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 101, and the processor 100 reads the information in the memory 101 and completes the steps of the method of the above embodiment in combination with its hardware.

[0120] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system and device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0121] In addition, in the description of the embodiments of the present disclosure, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present disclosure can be understood according to specific circumstances.

[0122] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present disclosure, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present disclosure. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0123] In the description of the present disclosure, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present disclosure and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present disclosure. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0124] Finally, it should be noted that the above embodiments are only specific implementation methods of the present disclosure, which are used to illustrate the technical solutions of the present disclosure, rather than to limit them. The protection scope of the present disclosure is not limited thereto. Although the present disclosure is described in detail with reference to the above embodiments, those skilled in the art should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above embodiments within the technical scope disclosed in the present disclosure, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure, and should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A fire monitoring method for an electric vehicle charging area, characterized in that: The method is applied to an electronic device, the electronic device is connected to a thermoelectric sensor; the thermoelectric sensor is installed at a designated position of the electric vehicle charging area; the electric vehicle charging area is pre-divided into a plurality of subspaces; the subspaces are pre-divided into a plurality of area blocks; the area blocks are pre-divided into a plurality of subareas; the method comprises: Obtaining the initial temperature collected by the thermoelectric sensor at the measured target point; Determine a compensation temperature; the compensation temperature includes a distance compensation temperature and an environment compensation temperature; Performing compensation processing on the initial temperature based on the compensation temperature to obtain a final temperature; If the final temperature exceeds a preset temperature threshold, determining a sub-area with a fire risk in the electric vehicle charging area based on an installation position of the thermoelectric sensor; If the sub-area with fire risk meets the preset fire condition, control is performed to execute the designated fire measures in the sub-area with fire risk.

2. The method according to claim 1, characterized in that The steps to determine the compensation temperature include: The distance compensation temperature corresponding to the distance between the thermoelectric sensor and the measured target point is searched from a preset distance temperature compensation curve.

3. The method according to claim 2, characterized in that After the step of searching the distance compensation temperature corresponding to the distance between the thermoelectric sensor and the measured target point from a preset distance temperature compensation curve, the method further comprises: Finding the environmental compensation temperature corresponding to the initial temperature from a preset environmental temperature compensation curve; The sum of the distance compensation temperature and the environment compensation temperature is taken as the final compensation temperature.

4. The method according to claim 2, characterized in that: After the step of searching the distance compensation temperature corresponding to the distance between the thermoelectric sensor and the measured target point from a preset distance temperature compensation curve, the method further comprises: Inputting the initial temperature into a pre-trained machine learning model, and outputting an environmental compensation temperature corresponding to the initial temperature; wherein the machine learning model is pre-trained using historical data; and the historical data includes environmental data and temperature data; The sum of the distance compensation temperature and the environment compensation temperature is taken as the final compensation temperature.

5. The method according to claim 1, characterized in that The electric vehicle charging area is provided with a plurality of the thermoelectric sensors; before the step of compensating the initial temperature based on the compensation temperature to obtain the final temperature, the method further includes: Based on the installation positions of the plurality of thermoelectric sensors and the distances between the plurality of thermoelectric sensors and the target point to be measured, assigning weight values ​​to the plurality of initial temperatures; A final initial temperature is determined based on the multiple initial temperatures, the weight values ​​corresponding to the multiple initial temperatures, and the number of the initial temperatures.

6. The method according to claim 1, characterized in that At least one of the thermoelectric sensors is installed in each of the subspaces; If the final temperature exceeds a preset temperature threshold, the step of determining a sub-area with fire risk in the electric vehicle charging area based on the installation position of the thermoelectric sensor comprises: Counting the number of target points of the measured target points whose final temperature exceeds a preset temperature threshold in each of the sub-areas; If the number of target points is greater than or equal to a preset target point number threshold, determining the sub-area as the sub-area with fire risk; It is determined that the sub-area with fire risk reaches a first warning level, and a first warning signal is generated.

7. The method according to claim 6, characterized in that After the step of determining that the sub-area with fire risk reaches the first warning level and generating a first warning signal, the method further includes: Counting the number of sub-areas reaching the first warning level in each of the area blocks; If the number of sub-areas reaching the first warning level is greater than or equal to a preset number threshold, the area block is determined as an area block with fire risk; It is determined that the area block with fire risk reaches a second warning level, and a second warning signal is generated.

8. The method according to claim 1, characterized in that The electronic device is connected to a surveillance camera; the surveillance camera is installed in the electric vehicle charging area; If the sub-area with fire risk meets the preset fire condition, the step of controlling the execution of the designated fire measures in the sub-area with fire risk comprises: Continue to monitor the final temperature of the thermoelectric sensor corresponding to the sub-area with fire risk; If the final temperature exceeds the preset temperature threshold for a duration greater than the preset duration threshold, acquiring a first monitoring image of the sub-area with fire risk through the monitoring camera; Determining whether the sub-area with fire risk meets a preset fire condition based on the first monitoring image; wherein the preset fire condition includes: smoke or open fire exists in the first monitoring image; If the sub-area with fire risk meets the preset fire condition, control is performed to execute the designated fire measures in the sub-area with fire risk.

9. The method according to claim 1 or 8, characterized in that: The step of controlling the execution of designated fire-fighting measures in the sub-area with fire-fighting risk comprises at least one of the following: Generate fire alarm information and send the fire alarm information to a designated device; Activating an audible and visual alarm; the audible and visual alarm is installed in the electric vehicle charging area; Start the fire water solenoid valve; the fire water solenoid valve is installed at the corresponding position of the sub-area with fire risk, and the fire water solenoid valve after startup is connected to the water source.

10. The method according to claim 1, characterized in that The electronic device is connected to a surveillance camera; the surveillance camera is installed in the electric vehicle charging area; Before the step of obtaining the initial temperature collected by the thermoelectric sensor at the measured target point, the method further includes: Acquiring a second monitoring image of the electric vehicle charging area through the monitoring camera; Identify whether there is an obstruction blocking the measured target point in the second monitoring image; If there is an obstruction blocking the measured target point in the second monitoring image, obstruction warning information is generated.

11. A fire monitoring system for an electric vehicle charging area, characterized in that: The system includes an electronic device, and a thermoelectric sensor, a monitoring camera, an audible and visual alarm, and a fire water electromagnetic valve connected to the electronic device; The electronic device executes the fire monitoring method for an electric vehicle charging area according to any one of claims 1 to 10; The thermoelectric sensor, the monitoring camera, the sound and light alarm and the fire water solenoid valve are installed in the electric vehicle charging area.

12. An electronic device, characterized in that: It comprises a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the fire monitoring method for an electric vehicle charging area according to any one of claims 1 to 10.

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