Charging station fire suppression method and device, electronic equipment and computer readable medium

Abstract

The embodiment of the invention discloses a charging station fire suppression method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises the following steps: determining each fire extinguishing device corresponding to a target vehicle according to charging position information of the target vehicle and a pre-stored fire extinguishing device information set; generating first fire confidence coefficient information corresponding to the target vehicle according to the charging information of the target vehicle; generating second fire confidence coefficient information corresponding to the target vehicle according to the environment information of the target vehicle; determining fire alarm level information corresponding to the target vehicle according to the first fire confidence information and the second fire confidence information; and in response to determining that the fire alarm grade information meets a preset fire alarm grade condition, starting each fire extinguishing device corresponding to the target vehicle according to the charging position information of the target vehicle so as to suppress the fire. According to the embodiment, the fire extinguishing delay, the economic loss and the fire extinguishing cost are reduced, and the fire extinguishing efficiency is improved.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the field of Internet of Things technology, and in particular to a charging station fire suppression method, device, electronic device, and computer-readable medium. Background Art

[0002] With the popularity of new energy vehicles, new energy vehicle charging stations have also developed rapidly. As an important supplementary facility for new energy vehicles, charging safety issues are increasingly attracting people's attention. Lithium batteries have the characteristics of high energy density and high charging and discharging efficiency, but there are also certain safety hazards in the charging process. For example, the battery temperature continues to rise during the charging process, and it is easy to cause a fire accident when it reaches a certain temperature. Most of the current charging stations use passive trigger sprays or dry powder fire extinguishers to suppress fires after a fire occurs.

[0003] However, the inventors have found that when the above method is used to suppress fire, the following technical problems often occur:

[0004] First, lithium batteries tend to catch fire quickly and need to be extinguished in a short period of time. Passive-triggered sprinklers or dry powder fire extinguishers extinguish fires after detecting a fire, which has a long fire-fighting delay and low fire-fighting efficiency, resulting in large economic losses. The use of dry powder fire extinguishers requires the purchase of a large number of dry powder fire extinguishers, resulting in high fire-fighting costs.

[0005] Second, the prediction of the fire probability at the charging location in combination with the charging environment is not considered, resulting in low accuracy of the predicted fire location and fire probability, which in turn leads to a longer fire extinguishing response time, resulting in greater economic losses.

[0006] The above information disclosed in this Background section is only for enhancement of understanding of the background of the inventive concept and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art. Summary of the invention

[0007] The content of this disclosure is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The content of this disclosure is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0008] Some embodiments of the present disclosure provide a charging station fire suppression method, apparatus, electronic device, and computer-readable medium to solve one or more of the technical problems mentioned in the above background technology section.

[0009] In a first aspect, some embodiments of the present disclosure provide a method for suppressing a fire at a charging station, the method comprising: determining charging position information of a target vehicle entering the charging station; determining each fire extinguishing device corresponding to the target vehicle based on the charging position information of the target vehicle and a set of pre-stored fire extinguishing device information, wherein the pre-stored fire extinguishing device information in the pre-stored fire extinguishing device information set includes position information, fire extinguishing angle information and fire extinguishing distance information of the fire extinguishing device; acquiring charging information and environmental information of the target vehicle; generating first fire confidence information corresponding to the target vehicle based on the charging information of the target vehicle; generating second fire confidence information corresponding to the target vehicle based on the environmental information of the target vehicle; determining fire alarm level information corresponding to the target vehicle based on the first fire confidence information and the second fire confidence information; in response to determining that the fire alarm level information meets a preset fire alarm level condition, starting each fire extinguishing device corresponding to the target vehicle based on the charging position information of the target vehicle to suppress the fire.

[0010] In a second aspect, some embodiments of the present disclosure provide a fire suppression device for a charging station, the device comprising: a first determination unit, configured to determine the charging position information of a target vehicle entering the charging station; a second determination unit, configured to determine each fire extinguishing device corresponding to the target vehicle based on the charging position information of the target vehicle and a pre-stored fire extinguishing device information set, wherein the pre-stored fire extinguishing device information in the pre-stored fire extinguishing device information set includes the position information, fire extinguishing angle information and fire extinguishing distance information of the fire extinguishing device; an acquisition unit, configured to acquire the charging information and environmental information of the target vehicle; a first generation unit, configured to generate the fire extinguishing device according to the above The charging information of the target vehicle is used to generate first fire confidence information corresponding to the target vehicle; the second generating unit is configured to generate second fire confidence information corresponding to the target vehicle according to the environmental information of the target vehicle; the third determining unit is configured to determine the fire alarm level information corresponding to the target vehicle according to the first fire confidence information and the second fire confidence information; the starting unit is configured to start each fire extinguishing device corresponding to the target vehicle according to the charging position information of the target vehicle in response to determining that the fire alarm level information meets the preset fire alarm level condition, so as to suppress the fire.

[0011] In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any implementation manner of the above-mentioned first aspect.

[0012] In a fourth aspect, some embodiments of the present disclosure provide a computer-readable medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method described in any implementation manner of the above-mentioned first aspect is implemented.

[0013] The above-mentioned various embodiments of the present disclosure have the following beneficial effects: through the charging station fire suppression method of some embodiments of the present disclosure, the fire extinguishing delay, economic losses and fire extinguishing costs are reduced, and the fire extinguishing efficiency is improved. Specifically, the reasons for the long fire extinguishing delay, large economic losses, high fire extinguishing costs and low fire extinguishing efficiency are: lithium batteries often catch fire quickly and need to be extinguished in a short time. Passive trigger sprays or dry powder fire extinguishers extinguish fires after detecting the occurrence of fires. There is a long fire extinguishing delay and low fire extinguishing efficiency, resulting in large economic losses; the use of dry powder fire extinguishers requires the purchase of a large number of dry powder fire extinguishers, resulting in high fire extinguishing costs. Based on this, the charging station fire suppression method of some embodiments of the present disclosure first determines the charging position information of the target vehicle entering the charging station. Thus, the charging position of the target vehicle in the charging station can be obtained. Then, according to the charging position information of the target vehicle and the pre-stored fire extinguishing device information set, the various fire extinguishing devices corresponding to the target vehicle are determined, wherein the pre-stored fire extinguishing device information in the pre-stored fire extinguishing device information set includes the position information, fire extinguishing angle information and fire extinguishing distance information of the fire extinguishing device. Thus, the various fire extinguishing devices covering the position of the target vehicle can be determined. Afterwards, the charging information and environmental information of the target vehicle are obtained. Thus, the charging information and environmental information of the target vehicle can be obtained. Then, according to the charging information of the target vehicle, the first fire confidence information corresponding to the target vehicle is generated. Thus, the fire confidence corresponding to the charging information can be obtained. Then, according to the environmental information of the target vehicle, the second fire confidence information corresponding to the target vehicle is generated. Thus, the fire confidence corresponding to the environmental information can be obtained. Then, according to the first fire confidence information and the second fire confidence information, the fire alarm level information corresponding to the target vehicle is determined. Thus, the fire alarm level information corresponding to the target vehicle can be obtained. Finally, in response to determining that the fire alarm level information meets the preset fire alarm level conditions, the various fire extinguishing devices corresponding to the target vehicle are activated according to the charging position information of the target vehicle to suppress the fire. Therefore, after determining that the fire alarm level information meets the preset fire alarm level conditions, the various fire extinguishing devices corresponding to the position of the target vehicle can be activated to achieve fire suppression. Also, because the implemented charging station fire suppression method can comprehensively judge the fire confidence based on the vehicle's charging information and environmental information, when it is determined that the fire confidence meets the preset fire alarm level conditions, the various fire extinguishing devices corresponding to the vehicle position are immediately activated, and the fire can be extinguished before the fire occurs, thereby reducing the fire extinguishing delay, fire extinguishing costs and economic losses, and improving the fire extinguishing efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0015] Figure 1 is a flow chart of some embodiments of a charging station fire suppression method according to the present disclosure;

[0016] Figure 2 is a schematic structural diagram of some embodiments of a charging station fire suppression device according to the present disclosure;

[0017] Figure 3 It is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present disclosure. DETAILED DESCRIPTION

[0018] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0019] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present disclosure can be combined with each other.

[0020] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0021] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0022] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0023] The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0024] Figure 1 The process 100 of some embodiments of the charging station fire suppression method according to the present disclosure is shown. The charging station fire suppression method includes the following steps:

[0025] Step 101, determining the charging position information of a target vehicle entering a charging station.

[0026] In some embodiments, the execution subject (e.g., a computing device) of the charging station fire suppression method may determine the charging position information of the target vehicle entering the charging station. The target vehicle may be a vehicle entering the charging station for charging. The charging position information may be the position where the target vehicle stops for charging after entering the charging station. In practice, the execution subject may determine the charging position information of the target vehicle entering the charging station in various ways.

[0027] In some optional implementations of some embodiments, the above-mentioned execution subject may determine the charging position information of the target vehicle entering the charging station through the following steps:

[0028] The first step is to track the target vehicle to obtain the motion trajectory information of the target vehicle. The motion trajectory information may characterize the driving trajectory of the target vehicle after entering the charging station. The motion trajectory information may include various position coordinates. In practice, the execution subject may use a comparative tracking algorithm to track the target vehicle to obtain the motion trajectory information of the target vehicle. The comparative tracking algorithm may be a YOLO algorithm.

[0029] The second step is to determine the charging position information of the target vehicle based on the motion trajectory information in response to determining that the motion trajectory information is not empty. In practice, for each position coordinate included in the motion trajectory information, in response to determining that a preset value of position coordinates have not changed, the execution subject may determine the unchanged position coordinates as the charging position information of the target vehicle. Here, there is no limitation on the setting of the preset value.

[0030] The third step, in response to determining that the above-mentioned motion trajectory information is empty, determines the charging pile location information of the charging pile connected to the vehicle within a preset time period, and determines the charging location information of the above-mentioned target vehicle based on the above-mentioned charging pile location information. Among them, the above-mentioned charging pile location information can represent the location coordinates of the charging pile connected to the vehicle. For example, the above-mentioned preset time period can be a time period of a preset duration before the current moment. The above-mentioned preset duration can be 5 minutes. In practice, the above-mentioned execution entity can determine the location coordinates of the charging pile connected to the vehicle within the above-mentioned preset time period as the charging location information of the target vehicle.

[0031] Step 102, determining each fire extinguishing device corresponding to the target vehicle according to the charging position information of the target vehicle and the pre-stored fire extinguishing device information set.

[0032] In some embodiments, the above-mentioned execution subject may determine the various fire extinguishing devices corresponding to the above-mentioned target vehicle based on the charging position information of the above-mentioned target vehicle and the pre-stored fire extinguishing device information set. Among them, the pre-stored fire extinguishing device information in the above-mentioned pre-stored fire extinguishing device information set may characterize the fire extinguishing parameters of the fire extinguishing device. The pre-stored fire extinguishing device information in the above-mentioned pre-stored fire extinguishing device information set may include the position information, fire extinguishing angle information and fire extinguishing distance information of the fire extinguishing device. The above-mentioned fire extinguishing device may be a sprinkler-type fire extinguisher. The position information of the above-mentioned fire extinguishing device may characterize the coordinates of the center point of the location where the fire extinguishing device is installed. The above-mentioned fire extinguishing angle information may characterize the spray angle of the fire extinguishing device. The above-mentioned fire extinguishing distance information may characterize the farthest spraying distance of the fire extinguishing device. In practice, the above-mentioned execution subject may determine the various fire extinguishing devices corresponding to the above-mentioned target vehicle based on the charging position information of the above-mentioned target vehicle and the pre-stored fire extinguishing device information set in various ways.

[0033] In some optional implementations of some embodiments, the execution subject may determine each fire extinguishing device corresponding to the target vehicle according to the charging position information of the target vehicle and the pre-stored fire extinguishing device information set through the following steps:

[0034] The first step is to determine the fire extinguishing range information of the fire extinguishing device corresponding to the pre-stored fire extinguishing device information for each pre-stored fire extinguishing device information in the pre-stored fire extinguishing device information set, based on the position information, fire extinguishing angle information and fire extinguishing distance information of the fire extinguishing device included in the pre-stored fire extinguishing device information. The fire extinguishing range information can represent the center point coordinates and the spraying radius of the fire extinguishing device spray. In practice, for each pre-stored fire extinguishing device information in the pre-stored fire extinguishing device information set, the execution subject can determine the fire extinguishing range information of the fire extinguishing device corresponding to the pre-stored fire extinguishing device information according to the fire extinguishing angle information and fire extinguishing distance information included in the pre-stored fire extinguishing device information through the following steps:

[0035] In the first sub-step, the coordinates of the intersection of the ray corresponding to the above-mentioned fire extinguishing angle information and the ground are determined as the coordinates of the center point of the spray.

[0036] In the second sub-step, the spray radius of the fire extinguisher is determined as the ratio of the water outlet pressure of the fire extinguishing device to the product of the water density, the gravitational acceleration and the vertical distance between the fire extinguishing device and the ground.

[0037] In a third sub-step, the spray center point coordinates and the spray radius are determined as the fire extinguishing range information of the fire extinguishing device corresponding to the pre-stored fire extinguishing device information.

[0038] The second step is to determine the fire extinguishing devices corresponding to the target vehicle according to the determined fire extinguishing range information and the charging position information of the target vehicle. In practice, the execution subject may determine the fire extinguishing devices corresponding to the fire extinguishing range information that covers the charging position information of the target vehicle as the fire extinguishing devices corresponding to the target vehicle.

[0039] Step 103, obtaining charging information and environmental information of the target vehicle.

[0040] In some embodiments, the above-mentioned execution entity may obtain the charging information and environmental information of the above-mentioned target vehicle. Among them, the above-mentioned charging information may characterize the current trend, voltage trend, and temperature trend of the above-mentioned target vehicle after the charging pile is connected. The above-mentioned charging information may include current information, voltage information, and charging temperature curve information. The above-mentioned charging temperature curve information may characterize the temperature trend. The above-mentioned environmental information may be a monitoring video of the above-mentioned target vehicle. In practice, the above-mentioned execution entity may obtain current information through a current sensor. Voltage information may be obtained through a voltage sensor. Charging temperature curve information may be obtained through a temperature sensor or an optical thermometer. Environmental information may be obtained through an associated camera.

[0041] Step 104: Generate first fire confidence information corresponding to the target vehicle based on the charging information of the target vehicle.

[0042] In some embodiments, the execution subject may generate the first fire confidence information corresponding to the target vehicle according to the charging information of the target vehicle. The first fire confidence information may represent the probability of fire predicted by the charging information. In practice, the execution subject may generate the first fire confidence information corresponding to the target vehicle according to the charging information of the target vehicle in various ways.

[0043] In some optional implementations of some embodiments, the execution subject may generate the first fire confidence information corresponding to the target vehicle according to the charging information of the target vehicle through the following steps:

[0044] The first step is to determine the charging temperature change information according to the charging temperature curve information included in the charging information. The charging temperature change information may be the slope corresponding to the charging temperature curve. In practice, the execution subject may determine the slope corresponding to the charging temperature curve information as the charging temperature change information.

[0045] In the second step, in response to determining that the charging temperature change information meets a preset change threshold condition, the following steps are performed:

[0046] The first sub-step is to determine the fire confidence score corresponding to the above-mentioned charging temperature change information. The fire confidence score corresponding to the above-mentioned charging temperature change information can represent the probability of occurrence of the fire corresponding to the above-mentioned charging temperature change information. In practice, in response to determining that the above-mentioned charging temperature change information is greater than the first preset threshold, the above-mentioned execution subject can determine the first preset score as the fire confidence score corresponding to the above-mentioned charging temperature change information. In response to determining that the above-mentioned charging temperature change information is less than or equal to the above-mentioned first preset threshold, the above-mentioned execution subject can determine the second preset score as the fire confidence score corresponding to the above-mentioned charging temperature change information. The specific setting of the above-mentioned first preset threshold can be determined according to the battery model of the above-mentioned target vehicle, and is not limited here. The value range of the above-mentioned first preset score can be (60,100). The value range of the above-mentioned second preset score can be [0,60).

[0047] The second sub-step is to determine the fire confidence score corresponding to the above-mentioned charging temperature change information as the first fire confidence information corresponding to the above-mentioned target vehicle.

[0048] In the third step, in response to determining that the charging temperature change information does not meet the preset change threshold condition, the following steps are performed:

[0049] The first sub-step is to input the above charging information into a pre-trained temperature change information prediction model to obtain the predicted charging temperature change information corresponding to the above target vehicle. The above temperature change information prediction model may be a trained decision tree model. The above decision tree model may be a GBDT decision tree. The features of the above decision tree model may include current information, voltage information and charging temperature curve information. The above predicted charging temperature change information may characterize the slope of the charging temperature curve predicted by the above temperature change information prediction model.

[0050] The second sub-step is to determine the fire confidence score corresponding to the above-mentioned predicted charging temperature change information. Among them, the fire confidence score corresponding to the above-mentioned predicted charging temperature change information can represent the probability of occurrence of the fire corresponding to the above-mentioned predicted charging temperature change information. In practice, in response to determining that the above-mentioned predicted charging temperature change information is greater than the second preset threshold, the above-mentioned execution entity can determine the above-mentioned first preset score as the fire confidence score corresponding to the above-mentioned predicted charging temperature change information. In response to determining that the above-mentioned predicted charging temperature change information is less than or equal to the above-mentioned second preset threshold, the above-mentioned execution entity can determine the above-mentioned second preset score as the fire confidence score corresponding to the above-mentioned predicted charging temperature change information. The specific setting of the above-mentioned second preset threshold can be determined according to the battery model of the above-mentioned target vehicle, and is not limited here.

[0051] The third sub-step is to determine the fire confidence score corresponding to the above-mentioned predicted charging temperature change information as the first fire confidence information of the above-mentioned target vehicle.

[0052] Step 105: Generate second fire confidence information corresponding to the target vehicle based on the environmental information of the target vehicle.

[0053] In some embodiments, the execution subject may generate the second fire confidence information corresponding to the target vehicle according to the environmental information of the target vehicle. The second fire confidence information may represent the probability of a fire alarm predicted by the environmental information. In practice, the execution subject may generate the second fire confidence information corresponding to the target vehicle according to the environmental information of the target vehicle in various ways.

[0054] In some optional implementations of some embodiments, the execution subject may generate the second fire confidence information corresponding to the target vehicle according to the environmental information of the target vehicle through the following steps:

[0055] The first step is to preprocess the environmental information of the target vehicle to obtain the preprocessed environmental information. The preprocessing may be filtering. In practice, the execution subject may use a bilateral filtering algorithm to preprocess the environmental information of the target vehicle to obtain the preprocessed environmental information.

[0056] In the second step, the pre-processed environmental information is input into a pre-trained fire prediction model to obtain a fire confidence score corresponding to the environmental information. The fire prediction model can characterize the correspondence between environmental information and fire confidence scores. The fire prediction model can be a trained neural network model. The fire confidence score corresponding to the environmental information can characterize the probability of occurrence of the fire corresponding to the environmental information.

[0057] The third step is to determine the fire confidence score corresponding to the above environmental information as the second fire confidence information of the above target vehicle.

[0058] In some optional implementations of some embodiments, the fire prediction model may be generated by the execution subject through the following steps:

[0059] The first step is to obtain a fire data set. The fire data in the fire data set may include a fire video and a fire confidence score corresponding to the fire video. The fire confidence score may represent the probability of the fire corresponding to the fire video. In practice, the execution subject may obtain the fire data set from an associated storage device. The associated storage device may be a mobile hard disk.

[0060] The second step is to perform denoising on each fire video included in the fire data set to obtain each denoised fire video. In practice, the execution subject may use a bilateral filtering algorithm to perform denoising on each fire video included in the fire data set to obtain each denoised fire video.

[0061] The third step is to split each fire video after denoising to obtain each fire picture sequence. In practice, the execution subject can split each fire video after denoising into each fire picture sequence by frame.

[0062] In the fourth step, each of the fire condition image sequences and each of the fire condition confidence scores corresponding to the fire condition image sequences are determined as a sample set, wherein the samples in the sample set include sample fire condition image sequences and sample fire condition confidence scores.

[0063] Step 5: Based on the sample set, perform the following training steps:

[0064] In the first training step, a sample fire picture sequence of any sample in the sample set is input into the input layer of the initial neural network model to obtain the respective coded representations of each fire picture in the sample fire picture sequence of any sample. Among them, the input layer can convert each fire picture in the sample fire picture sequence into respective operable codes. The initial neural network model can be an untrained deep learning model or an untrained deep learning model. Each layer of the initialized deep learning model can be set with initial parameters, and the parameters can be continuously adjusted during the training process of the deep learning model. For example, the initial deep learning model can be an untrained convolutional neural network, or an untrained recursive neural network, or a model obtained by combining an untrained convolutional neural network, an untrained recursive neural network and an untrained fully connected layer.

[0065] In the second training step, each encoded representation of each fire picture in the sample fire picture sequence of any one of the above samples is input into the feature extraction layer of the initial neural network model to obtain each feature vector of each fire picture in the sample fire picture sequence of any one of the above samples. The feature extraction layer may be a convolutional layer. The feature extraction layer may extract each feature of each fire picture in the sample fire picture sequence.

[0066] In the third training step, each feature vector of each fire picture in the sample fire picture sequence of any one of the above samples is input into the feature fusion layer of the initial neural network model to obtain a fused feature vector of the sample fire picture sequence corresponding to any one of the above samples. The feature fusion layer can fuse each feature vector of each fire picture in the sample fire picture sequence to obtain a fused vector. The feature fusion layer can be a fully connected layer.

[0067] In the fourth training step, the fused feature vector of the sample fire image sequence corresponding to any one of the above samples is input into the output layer of the initial neural network model to obtain the predicted fire confidence score of the sample fire image sequence corresponding to any one of the above samples. The output layer may replace the fused feature vector with the corresponding predicted fire confidence score. The output layer may include a softmax layer.

[0068] The fifth training step is to determine whether the initial neural network model meets the preset optimization condition based on the sample fire condition confidence score of the sample fire condition picture sequence of any one of the above samples and the predicted fire condition confidence score of the sample fire condition picture sequence corresponding to at least one of the above samples. The above preset optimization condition may be that the difference between the above sample fire condition confidence score and the above predicted fire condition confidence score is less than a preset difference threshold. Here, the specific setting of the above preset difference threshold is not limited.

[0069] In a sixth training step, in response to determining that the initial neural network model meets the above-mentioned preset optimization conditions, the initial neural network model is determined as a trained fire prediction model.

[0070] Optionally, in response to determining that the initial neural network model does not meet the preset optimization conditions, the execution subject may also adjust the parameters of the initial neural network model, and use a sample set consisting of unused samples to perform the training step again. The execution subject may use a gradient descent method to adjust the parameters of the initial neural network model.

[0071] The above technical solution and its related contents, as an inventive point of the embodiment of the present disclosure, solve the technical problem 2 mentioned in the background technology, "the prediction of the probability of fire at the charging position in combination with the charging environment is not considered, resulting in low accuracy of the predicted fire position and fire probability, which in turn leads to a long response time for fire extinguishing, resulting in large economic losses". The factors that lead to long response time for fire extinguishing and large economic losses are often as follows: the prediction of the probability of fire at the charging position in combination with the charging environment is not considered, resulting in low accuracy of the predicted fire position and fire probability. If the above factors are solved, the effect of reducing the response time for fire extinguishing and reducing economic losses can be achieved. In order to achieve this effect, the present disclosure introduces the prediction of the confidence of the occurrence of fire at the charging position in combination with the charging information and the environmental information, trains the fire prediction model through the deep learning method, and predicts the probability of fire according to the charging environment information. Thereby, the accuracy of the predicted location and probability of possible fire can be improved. Thereby, the location where fire may occur can be monitored intensively, or the location with a high probability of fire can be directly suppressed in advance. Thereby, the response time of fire extinguishing can be improved and economic losses can be reduced.

[0072] Step 106: Determine the fire alarm level information corresponding to the target vehicle based on the first fire confidence information and the second fire confidence information.

[0073] In some embodiments, the execution subject may determine the fire alarm level information corresponding to the target vehicle based on the first fire confidence information and the second fire confidence information. The fire alarm level information may represent the level of the fire. The fire level may include a first-level fire alarm level, a second-level fire alarm level, and a third-level fire alarm level. The first-level fire alarm level may represent that the probability of a fire is less than 60%. The second-level fire alarm level may represent that the probability of a fire is between 60% and 80%, and requires intensive monitoring. The third-level fire alarm level may represent that the probability of a fire is greater than 80%, and immediate fire extinguishing measures are required. In practice, the execution subject may determine the fire alarm level information corresponding to the target vehicle based on the first fire confidence information and the second fire confidence information in various ways.

[0074] In some optional implementations of some embodiments, the execution subject may determine the fire alarm level information corresponding to the target vehicle according to the first fire confidence information and the second fire confidence information through the following steps:

[0075] In the first step, in response to determining that the first fire confidence information satisfies a first preset fire confidence threshold condition corresponding to the target vehicle, the following steps are performed:

[0076] The first sub-step is to determine the third preset fire alarm level information as the fire alarm level information corresponding to the target vehicle in response to determining that the second fire confidence information satisfies the second preset fire confidence threshold condition. The first preset fire confidence threshold condition may be that the first fire confidence information is greater than the first preset fire confidence threshold. The second preset fire confidence threshold condition may be that the second fire confidence information is greater than the second preset fire confidence threshold. For example, the first preset fire confidence threshold may be 60%. The second preset fire confidence threshold may be 80%. The third preset fire alarm level information may indicate that there is a probability of more than 80% that a fire has occurred or that a fire has occurred.

[0077] In a second sub-step, in response to determining that the second fire confidence information does not meet the second preset fire confidence threshold condition, the second preset fire alarm level information is determined as the fire alarm level information corresponding to the target vehicle. The second preset fire alarm level information may indicate that there is a 60%-80% probability of fire occurring.

[0078] In the second step, in response to determining that the first fire confidence information does not meet the first preset fire confidence threshold condition corresponding to the target vehicle, the first preset fire alarm level information is determined as the fire alarm level information corresponding to the target vehicle. The first preset fire alarm level information can indicate that the probability of a fire is less than 60%, and no processing is required.

[0079] Step 107 , in response to determining that the fire alarm level information meets the preset fire alarm level condition, each fire extinguishing device corresponding to the target vehicle is activated according to the charging position information of the target vehicle to suppress the fire.

[0080] In some embodiments, in response to determining that the fire alarm level information satisfies a preset fire alarm level condition, the execution subject may activate various fire extinguishing devices corresponding to the target vehicle according to the charging position information of the target vehicle to suppress the fire. In practice, the execution subject may control the activation of various fire extinguishing devices corresponding to the target vehicle by wired connection or wireless connection to suppress the fire.

[0081] Optionally, in response to determining that the fire alarm level information does not meet the preset fire alarm level condition, first, the execution subject may also determine whether the fire alarm level information meets the preset monitoring condition. The preset monitoring condition may be that the fire alarm level information is the second preset fire alarm level information. In practice, in response to determining that the fire alarm level information is the second preset fire alarm level information, the execution subject may determine that the fire alarm level information meets the preset monitoring condition.

[0082] Then, in response to determining that the fire alarm level information satisfies the preset monitoring condition, the respective monitoring devices corresponding to the charging location information of the target vehicle are determined according to the charging location information of the target vehicle. In practice, the execution subject may determine the respective monitoring devices whose monitoring range can cover the charging location information of the target vehicle as the respective monitoring devices corresponding to the charging location information of the target vehicle.

[0083] Finally, the monitoring angles of the above-mentioned monitoring devices are adjusted to monitor the above-mentioned target vehicle. In practice, the above-mentioned execution subject can control the monitoring angles of the above-mentioned monitoring devices by wired connection or wireless connection to monitor the above-mentioned target vehicle.

[0084] The above-mentioned various embodiments of the present disclosure have the following beneficial effects: through the charging station fire suppression method of some embodiments of the present disclosure, the fire extinguishing delay, economic losses and fire extinguishing costs are reduced, and the fire extinguishing efficiency is improved. Specifically, the reasons for the long fire extinguishing delay, large economic losses, high fire extinguishing costs and low fire extinguishing efficiency are: lithium batteries often catch fire quickly and need to be extinguished in a short time. Passive trigger sprays or dry powder fire extinguishers extinguish fires after detecting the occurrence of fires. There is a long fire extinguishing delay and low fire extinguishing efficiency, resulting in large economic losses; the use of dry powder fire extinguishers requires the purchase of a large number of dry powder fire extinguishers, resulting in high fire extinguishing costs. Based on this, the charging station fire suppression method of some embodiments of the present disclosure first determines the charging position information of the target vehicle entering the charging station. Thus, the charging position of the target vehicle in the charging station can be obtained. Then, according to the charging position information of the target vehicle and the pre-stored fire extinguishing device information set, the various fire extinguishing devices corresponding to the target vehicle are determined, wherein the pre-stored fire extinguishing device information in the pre-stored fire extinguishing device information set includes the position information, fire extinguishing angle information and fire extinguishing distance information of the fire extinguishing device. Thus, the various fire extinguishing devices covering the position of the target vehicle can be determined. Afterwards, the charging information and environmental information of the target vehicle are obtained. Thus, the charging information and environmental information of the target vehicle can be obtained. Then, according to the charging information of the target vehicle, the first fire confidence information corresponding to the target vehicle is generated. Thus, the fire confidence corresponding to the charging information can be obtained. Then, according to the environmental information of the target vehicle, the second fire confidence information corresponding to the target vehicle is generated. Thus, the fire confidence corresponding to the environmental information can be obtained. Then, according to the first fire confidence information and the second fire confidence information, the fire alarm level information corresponding to the target vehicle is determined. Thus, the fire alarm level information corresponding to the target vehicle can be obtained. Finally, in response to determining that the fire alarm level information meets the preset fire alarm level conditions, the various fire extinguishing devices corresponding to the target vehicle are activated according to the charging position information of the target vehicle to suppress the fire. Therefore, after determining that the fire alarm level information meets the preset fire alarm level conditions, the various fire extinguishing devices corresponding to the position of the target vehicle can be activated to achieve fire suppression. Also, because the implemented charging station fire suppression method can comprehensively judge the fire confidence based on the vehicle's charging information and environmental information, when it is determined that the fire confidence meets the preset fire alarm level conditions, the various fire extinguishing devices corresponding to the vehicle position are immediately activated, and the fire can be extinguished before the fire occurs, thereby reducing the fire extinguishing delay, fire extinguishing costs and economic losses, and improving the fire extinguishing efficiency.

[0085] Further references Figure 2 As an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a charging station fire suppression device. These device embodiments are similar to Figure 1Corresponding to the method embodiments shown, the device can be specifically applied to various electronic devices.

[0086] like Figure 2 As shown, the charging station fire suppression device 200 of some embodiments includes: a first determination unit 201, a second determination unit 202, an acquisition unit 203, a first generation unit 204, a second generation unit 205, a third determination unit 206 and a start unit 207. The first determination unit 201 is configured to determine the charging position information of the target vehicle entering the charging station; the second determination unit 202 is configured to determine each fire extinguishing device corresponding to the target vehicle according to the charging position information of the target vehicle and the pre-stored fire extinguishing device information set, wherein the pre-stored fire extinguishing device information in the pre-stored fire extinguishing device information set includes the position information of the fire extinguishing device, the fire extinguishing angle information and the fire extinguishing distance information; the acquisition unit 203 is configured to acquire the charging information and environmental information of the target vehicle; the first generation unit 204 is configured to generate the corresponding fire extinguishing device according to the charging information of the target vehicle. The first fire confidence information of the above-mentioned target vehicle; the second generating unit 205 is configured to generate the second fire confidence information corresponding to the above-mentioned target vehicle according to the environmental information of the above-mentioned target vehicle; the third determining unit 206 is configured to determine the fire alarm level information corresponding to the above-mentioned target vehicle according to the first fire confidence information and the second fire confidence information; the starting unit 207 is configured to respond to determining that the above-mentioned fire alarm level information meets the preset fire alarm level condition, and according to the charging position information of the above-mentioned target vehicle, start each fire extinguishing device corresponding to the above-mentioned target vehicle to suppress the fire.

[0087] It is understandable that the units described in the charging station fire suppression device 200 are similar to those described in the reference Figure 1 Therefore, the operations, features and beneficial effects described above for the method are also applicable to the device 200 and the units included therein, and will not be described in detail here.

[0088] Reference below Figure 3 , which shows a structural schematic diagram of an electronic device (eg, a computing device) 300 suitable for implementing some embodiments of the present disclosure. Figure 3 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0089] like Figure 3As shown, the electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 into a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0090] Typically, the following devices may be connected to the I / O interface 305: input devices 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 308 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 309. The communication devices 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0091] In particular, according to some embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. When the computer program is executed by the processing device 301, the above-mentioned functions defined in the method of some embodiments of the present disclosure are executed.

[0092] It should be noted that the computer-readable medium recorded in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In some embodiments of the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0093] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0094] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: determines the charging position information of the target vehicle entering the charging station; determines each fire extinguishing device corresponding to the target vehicle according to the charging position information of the target vehicle and a set of pre-stored fire extinguishing device information, wherein the pre-stored fire extinguishing device information in the pre-stored fire extinguishing device information set includes the position information, fire extinguishing angle information and fire extinguishing distance information of the fire extinguishing device; obtains the charging information and environmental information of the target vehicle; generates first fire confidence information corresponding to the target vehicle according to the charging information of the target vehicle; generates second fire confidence information corresponding to the target vehicle according to the environmental information of the target vehicle; determines the fire alarm level information corresponding to the target vehicle according to the first fire confidence information and the second fire confidence information; in response to determining that the fire alarm level information meets the preset fire alarm level condition, activates each fire extinguishing device corresponding to the target vehicle according to the charging position information of the target vehicle to suppress the fire.

[0095] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0096] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0097] The units described in some embodiments of the present disclosure may be implemented by software or by hardware. The units described may also be provided in a processor, for example, may be described as: a processor including a first determination unit, a second determination unit, an acquisition unit, a first generation unit, a second generation unit, a third determination unit and a start unit. The names of these units do not, in some cases, constitute limitations on the units themselves, for example, the first determination unit may also be described as a "unit for determining the charging position information of a target vehicle entering a charging station".

[0098] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0099] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalent features without departing from the above-mentioned inventive concept. For example, the above-mentioned features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) and the technical solutions formed.

Claims

1. A method for suppressing a fire in a charging station, comprising: Determine charging location information of a target vehicle entering a charging station; Determine each fire extinguishing device corresponding to the target vehicle according to the charging position information of the target vehicle and the pre-stored fire extinguishing device information set, wherein the pre-stored fire extinguishing device information in the pre-stored fire extinguishing device information set includes the position information, fire extinguishing angle information and fire extinguishing distance information of the fire extinguishing device; Acquiring charging information and environmental information of the target vehicle; Generating first fire confidence information corresponding to the target vehicle according to the charging information of the target vehicle; Generating second fire confidence information corresponding to the target vehicle according to the environmental information of the target vehicle; Determining fire alarm level information corresponding to the target vehicle according to the first fire confidence information and the second fire confidence information; In response to determining that the fire alarm level information meets a preset fire alarm level condition, each fire extinguishing device corresponding to the target vehicle is activated according to the charging position information of the target vehicle to suppress the fire.

2. The method according to claim 1, wherein: The method further comprises: In response to determining that the fire alarm level information does not satisfy the preset fire alarm level condition, determining whether the fire alarm level information satisfies a preset monitoring condition; In response to determining that the fire alarm level information satisfies the preset monitoring condition, determining each monitoring device corresponding to the charging position information of the target vehicle according to the charging position information of the target vehicle; The monitoring angles of the various monitoring devices are adjusted to monitor the target vehicle.

3. The method according to claim 1, wherein: The step of determining the charging position information of the target vehicle entering the charging station includes: Tracking the target vehicle to obtain movement trajectory information of the target vehicle; In response to determining that the motion trajectory information is not empty, determining the charging position information of the target vehicle according to the motion trajectory information; In response to determining that the motion trajectory information is empty, the charging pile position information of the charging pile connected to the vehicle within a preset time period is determined, and the charging position information of the target vehicle is determined based on the charging pile position information.

4. The method according to claim 1, wherein: The determining, according to the charging position information of the target vehicle and the pre-stored fire extinguishing device information set, each fire extinguishing device corresponding to the target vehicle comprises: For each pre-stored fire extinguishing device information in the pre-stored fire extinguishing device information set, determining the fire extinguishing range information of the fire extinguishing device corresponding to the pre-stored fire extinguishing device information according to the position information, fire extinguishing angle information and fire extinguishing distance information of the fire extinguishing device included in the pre-stored fire extinguishing device information; According to the determined fire extinguishing range information and the charging position information of the target vehicle, each fire extinguishing device corresponding to the target vehicle is determined.

5. The method according to claim 1, wherein: The charging information includes current information, voltage information and charging temperature curve information, and The step of generating first fire confidence information corresponding to the target vehicle according to the charging information of the target vehicle comprises: Determining charging temperature change information according to the charging temperature curve information included in the charging information; In response to determining that the charging temperature change information meets a preset change threshold condition, performing the following steps: Determining a fire confidence score corresponding to the charging temperature change information; Determining the fire confidence score corresponding to the charging temperature change information as the first fire confidence information corresponding to the target vehicle; In response to determining that the charging temperature change information does not meet the preset change threshold condition, performing the following steps: Inputting the charging information into a pre-trained temperature change information prediction model to obtain predicted charging temperature change information corresponding to the target vehicle; Determining a fire condition confidence score corresponding to the predicted charging temperature change information; The fire condition confidence score corresponding to the predicted charging temperature change information is determined as the first fire condition confidence information of the target vehicle.

6. The method according to claim 5, wherein: The step of generating second fire confidence information corresponding to the target vehicle according to the environmental information of the target vehicle comprises: Preprocessing the environmental information of the target vehicle to obtain preprocessed environmental information; Inputting the preprocessed environmental information into a pre-trained fire prediction model to obtain a fire confidence score corresponding to the environmental information; The fire condition confidence score corresponding to the environmental information is determined as the second fire condition confidence information of the target vehicle.

7. The method according to claim 6, wherein: The determining, according to the first fire confidence information and the second fire confidence information, the fire alarm level information corresponding to the target vehicle includes: In response to determining that the first fire condition confidence information satisfies a first preset fire condition confidence threshold condition corresponding to the target vehicle, performing the following steps: In response to determining that the second fire confidence information satisfies a second preset fire confidence threshold condition, determining the third preset fire alarm level information as the fire alarm level information corresponding to the target vehicle; In response to determining that the second fire confidence information does not satisfy the second preset fire confidence threshold condition, determining the second preset fire alarm level information as the fire alarm level information corresponding to the target vehicle; In response to determining that the first fire confidence information does not satisfy the first preset fire confidence threshold condition corresponding to the target vehicle, the first preset fire alarm level information is determined as the fire alarm level information corresponding to the target vehicle.

8. A charging station fire suppression device, comprising: a first determining unit configured to determine charging position information of a target vehicle entering the charging station; a second determination unit configured to determine each fire extinguishing device corresponding to the target vehicle according to the charging position information of the target vehicle and the pre-stored fire extinguishing device information set, wherein the pre-stored fire extinguishing device information in the pre-stored fire extinguishing device information set includes position information, fire extinguishing angle information and fire extinguishing distance information of the fire extinguishing device; an acquisition unit, configured to acquire charging information and environmental information of the target vehicle; A first generating unit is configured to generate first fire confidence information corresponding to the target vehicle according to the charging information of the target vehicle; A second generating unit is configured to generate second fire confidence information corresponding to the target vehicle according to the environmental information of the target vehicle; a third determining unit, configured to determine fire alarm level information corresponding to the target vehicle according to the first fire confidence information and the second fire confidence information; The starting unit is configured to start each fire extinguishing device corresponding to the target vehicle according to the charging position information of the target vehicle in response to determining that the fire alarm level information meets the preset fire alarm level condition, so as to suppress the fire.

9. An electronic device, comprising: one or more processors; A storage device for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, wherein: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

Images