Abnormal processing method and device for electric energy supply station

Abstract

The present invention relates to the technical field of electric vehicles, and specifically to an abnormality handling method and device for an electric energy supply station. The method comprises: judging whether an abnormal situation occurs according to the monitoring data of the electric energy supply station; the monitoring data comprises temperature data and / or video data, which is collected by sensors arranged at each monitoring point of the electric energy supply station; if so, generating a processing control instruction corresponding to the abnormal situation and sending it to the controlled device to handle the abnormal situation. The present invention can judge whether an abnormal situation occurs in the electric energy supply station according to the monitoring data of the electric energy supply station; and handle the abnormal situation in time when it occurs, eliminate the dangerous situation in the electric energy supply station, thereby improving the safety of the electric energy supply station.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicles, and in particular to an abnormality processing method, device, equipment and storage medium of an electric energy supply station. Background Art

[0002] Nowadays, electric vehicle technology is booming. Electric vehicles are green and environmentally friendly, with low vehicle costs and smooth start-up. They have become a major choice for people. Electric energy supply stations provide great convenience for charging electric vehicles.

[0003] Since electric vehicle technology is new and less mature than traditional vehicles, combustion accidents often occur during the process of electric energy replenishment. Therefore, how to improve the safety of electric energy replenishment stations is a technical problem that urgently needs to be solved. Summary of the invention

[0004] The object of the present invention is to provide an abnormality handling method and device for an electric energy supply station, so as to improve the safety of the electric energy supply station.

[0005] The embodiment of the present invention provides the following solution:

[0006] In a first aspect, an embodiment of the present invention provides an abnormality handling method of an electric energy supply station, the method comprising:

[0007] Determine whether an abnormal situation occurs according to monitoring data of the electric energy supply station; the monitoring data includes temperature data and / or video data, which is collected by sensors arranged at each monitoring point of the electric energy supply station;

[0008] If so, a processing control instruction corresponding to the abnormal situation is generated and sent to the controlled device to process the abnormal situation.

[0009] In a possible embodiment, judging whether an abnormal situation occurs according to monitoring data of the electric energy supply station includes:

[0010] Determining, according to the temperature data, whether there is a first location in the electric energy supply station where the current temperature exceeds a temperature threshold;

[0011] If yes, it is determined that the first position has an abnormal temperature condition;

[0012] and / or,

[0013] Determining, based on the temperature data, whether there is a second location in the electric energy supply station where the temperature rise rate exceeds a speed threshold;

[0014] If so, it is determined that the temperature abnormality occurs at the second position.

[0015] In a possible embodiment, judging whether an abnormal situation currently occurs according to the monitoring data of the electric energy supply station includes:

[0016] Determining whether there is an open flame and / or smoke in the power supply station;

[0017] If so, a fire is considered to be present at the location where open flames and / or smoke are present.

[0018] In a possible embodiment, determining whether there is an open flame and / or smoke in the electric energy supply station includes:

[0019] Determining whether there is target data representing an open flame in the video data;

[0020] If yes, it is determined that there is an open flame in the power supply station;

[0021] and / or,

[0022] Determining whether there is target data representing smoke in the video data;

[0023] If so, it is determined that smoke exists in the power supply station.

[0024] In a possible embodiment, the monitoring data also includes smoke concentration data;

[0025] The determining whether there is smoke in the electric energy supply station includes:

[0026] According to the smoke concentration data, determining whether there is a third location in the electric energy supply station where the current smoke concentration exceeds a concentration threshold;

[0027] If so, it is determined that smoke exists in the power supply station.

[0028] In a possible embodiment, generating a processing control instruction corresponding to the abnormal situation includes:

[0029] Generate a current limiting instruction to perform a current limiting operation on the electric energy supply device corresponding to the location where the abnormal temperature condition occurs;

[0030] Generates temperature abnormality alarm instructions to control the alarm to send temperature abnormality alarms.

[0031] In a possible embodiment, generating a processing control instruction corresponding to the abnormal situation includes:

[0032] generating a power-off instruction to perform a power-off operation on the power supply equipment corresponding to the location where the fire occurs in the power supply station;

[0033] Generate automatic fire extinguishing instructions to control the automatic fire extinguishing device to extinguish the fire;

[0034] Generate abnormal fire alarm instructions to control the alarm to send a fire alarm.

[0035] In a possible embodiment, the controlling alarm to send a fire alarm includes:

[0036] Report a fire alarm to the fire brigade corresponding to the electric energy supply station.

[0037] In a second aspect, an embodiment of the present invention provides an abnormality handling device for an electric energy supply station, the device comprising:

[0038] A first judgment module is used to judge whether an abnormal situation occurs according to monitoring data of the electric energy supply station; the monitoring data includes temperature data and / or video data, which is collected by sensors arranged at each monitoring point of the electric energy supply station;

[0039] The first control module is used to generate a processing control instruction corresponding to the abnormal situation and send it to the controlled device when an abnormal situation occurs, so as to process the abnormal situation.

[0040] In a possible embodiment, the first determination module includes:

[0041] A second judgment module is used to judge whether there is a first position in the electric energy supply station where the current temperature exceeds a temperature threshold according to the temperature data;

[0042] A first identification module, configured to identify that a temperature abnormality occurs at a first location in the electric energy supply station when the first location has a current temperature exceeding a temperature threshold;

[0043] and / or,

[0044] A third judgment module is used to judge whether there is a second position in the electric energy supply station where the temperature rise speed exceeds a speed threshold according to the temperature data;

[0045] The second identification module is used to identify that the temperature abnormality occurs at a second location in the electric energy supply station when the second location has a temperature rise rate exceeding a rate threshold.

[0046] In a possible embodiment, the first determination module includes:

[0047] A fourth judgment module is used to judge whether there is an open flame and / or smoke in the power supply station;

[0048] The third identification module is used to identify the occurrence of fire at the location where the open flame and / or smoke exists when there is an open flame and / or smoke in the electric energy supply station.

[0049] In a possible embodiment, the fourth determination module includes:

[0050] A fifth judgment module, used to judge whether there is target data representing an open flame in the video data;

[0051] A fourth identification module, configured to identify the presence of an open fire in the electric energy supply station when target data representing an open fire is present in the video data;

[0052] and / or,

[0053] A sixth judgment module, used to judge whether there is target data representing smoke in the video data;

[0054] The fifth identification module is used to identify the presence of smoke in the electric energy supply station when target data representing smoke exists in the video data.

[0055] In a possible embodiment, the monitoring data also includes smoke concentration data;

[0056] The fourth judgment module includes:

[0057] A seventh judgment module, configured to judge, based on the smoke concentration data, whether there is a third location in the electric energy supply station where the current smoke concentration exceeds a concentration threshold;

[0058] The sixth identification module is used to identify the presence of smoke in the electric energy supply station when there is a third position in the electric energy supply station where the current smoke concentration exceeds the concentration threshold.

[0059] In a possible embodiment, the first control module includes:

[0060] A second control module is used to generate a current limiting instruction to perform a current limiting operation on the electric energy supply device corresponding to the location where the abnormal temperature occurs;

[0061] The third control module is used to generate an abnormal temperature alarm instruction to control the alarm to send an abnormal temperature alarm.

[0062] In a possible embodiment, the first control module includes:

[0063] a fourth control module, configured to generate a power-off instruction to perform a power-off operation on the power supply equipment corresponding to the location where the fire occurs in the power supply station;

[0064] A fifth control module, used to generate an automatic fire extinguishing instruction to control the automatic fire extinguishing device to extinguish the fire;

[0065] The sixth control module is used to generate an abnormal fire alarm instruction to control the alarm to send a fire alarm.

[0066] In a possible embodiment, the device further includes:

[0067] The seventh control module is used to send a fire alarm to the fire brigade corresponding to the electric energy supply station.

[0068] In a third aspect, an embodiment of the present invention provides an abnormality handling device for an electric energy supply station, including:

[0069] Memory for storing computer programs;

[0070] A processor is used to execute the computer program to implement the steps of any one of the abnormality handling methods for the electric energy supply station described in the first aspect.

[0071] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the abnormality handling method for an electric energy supply station described in any one of the first aspects.

[0072] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0073] The present invention can determine whether an abnormal situation occurs in the electric energy supply station based on the monitoring data of the electric energy supply station; after the abnormal situation occurs, a processing control instruction corresponding to the abnormal situation will be generated according to the specific abnormal situation and sent to the controlled device to process the abnormal situation and eliminate the dangerous situation in the electric energy supply station, thereby improving the safety of the electric energy supply station. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] In order to more clearly illustrate the embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0075] Figure 1 It is a flow chart of an abnormality handling method of an electric energy supply station provided by an embodiment of the present invention;

[0076] Figure 2 It is a structural schematic diagram of an abnormality handling device for an electric energy supply station provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0077] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention belong to the scope of protection of the embodiments of the present invention.

[0078] The embodiment of the present invention is applied to the control end of the electric energy supply station, which can obtain relevant data in the electric energy supply station and control relevant equipment of the electric energy supply station. It can be a management controller of the electric energy supply station or a charging pile server.

[0079] See also Figure 1 ,like Figure 1 The flowchart shown is a method for handling an abnormality of an electric energy supply station provided in this embodiment, which specifically includes steps 11 and 12.

[0080] Step 11, judging whether an abnormal situation occurs according to the monitoring data of the electric energy supply station.

[0081] The monitoring data includes temperature data and / or video data, which are collected by sensors installed at various monitoring points of the electric energy supply station.

[0082] Specifically, the monitoring data of the electric energy supply station may be the detection signals of the sensors in the electric energy supply station, such as obtaining the temperature data at the charging gun during the charging process through the temperature sensor arranged on the charging gun in the charging station, and obtaining the smoke concentration data at each location through the smoke sensor arranged in the charging / swapping station; the monitoring data of the electric energy supply station may also be the data such as the temperature of the single cell battery, the power of the single cell battery, the voltage of the single cell battery, the voltage of the battery pack, etc. when the car is being replenished with electric energy, which are collected by the body BMS equipment.

[0083] The monitoring data of the power supply station can also be video data collected by cameras in the power supply station. For example, video data collected by an infrared camera can be used to obtain a temperature distribution map of each location in the video data, thereby performing content analysis on the video data and identifying specific target data such as smoke and flames in the video data.

[0084] The abnormal conditions in this step refer to dangerous or potentially dangerous conditions in the electric energy supply station, the most common of which are abnormal temperature and fire.

[0085] Here is a solution for judging abnormal temperature conditions, including two solutions for identifying abnormal temperature conditions:

[0086] Abnormal temperature identification scheme 1:

[0087] Step 21, judging whether there is a first position in the electric energy supply station where the current temperature exceeds a temperature threshold according to the temperature data.

[0088] This step can obtain the current temperature of a certain position or certain positions in the power supply station based on the temperature sensor set in the power supply station, the vehicle system of the electric vehicle or the infrared camera, and then determine whether it exceeds the temperature threshold, thereby completing the judgment work of this step.

[0089] Specifically, the temperature sensor can be set at the corresponding position according to the needs of the site, for example, it can be set on the charging pile in the charging station, or it can be set on the infrastructure of the electric energy supply station; and the infrared camera can be set at the corresponding position according to the needs of the site (such as the ceiling of the electric energy supply station, the charging pile, and the battery replacement equipment).

[0090] Specifically, the temperature threshold may be a fixed temperature value, or different temperature thresholds may be set at different locations.

[0091] Step 22: If the first position exists, it is determined that an abnormal temperature condition occurs at the first position.

[0092] Specifically, when the detected temperature corresponding to a certain position exceeds the temperature threshold, it indicates that there is a temperature abnormality at the position, which may be a potential fire hazard and needs to be dealt with in a timely manner to avoid further deterioration.

[0093] Temperature abnormality identification scheme 2:

[0094] Step 23: determine, based on the temperature data, whether there is a second position in the electric energy supply station where the temperature rise rate exceeds a speed threshold.

[0095] In this step, the current temperature of a certain position or certain positions in the electric energy supply station can be monitored in real time based on the temperature sensor set in the electric energy supply station, the vehicle system of the electric vehicle or the infrared camera, and the temperature change curve can be obtained to know the temperature rising speed of the certain position or certain positions, and then determine whether it exceeds the speed threshold, thereby completing the judgment work of this step.

[0096] Specifically, the speed threshold may be a fixed value, or different temperature rise speed thresholds may be set at different locations.

[0097] Step 24: If the second position exists, it is determined that an abnormal temperature condition occurs at the second position.

[0098] Specifically, when the temperature rise rate corresponding to a certain position exceeds the speed threshold, it indicates that there is a temperature abnormality at the position, which may be a potential fire hazard and needs to be dealt with in time to avoid further deterioration.

[0099] Of course, in practical applications, the temperature anomaly identification scheme 1 and the temperature anomaly identification scheme 2 can be used as identification schemes for temperature anomaly situations respectively, and can also be used together as identification schemes for temperature anomaly situations.

[0100] Here is also a solution for judging the fire situation of an electric energy supply station. The specific solution is as follows:

[0101] Step 31, determining whether there is open flame and / or smoke in the power supply station.

[0102] Specifically, a video content analysis solution may be used to determine the presence of open flames and / or smoke, and a smoke concentration sensor or other device may be used to determine the presence of open flames and / or smoke.

[0103] Specifically, in the video content analysis solution, the control end can use the open flame detection algorithm and the smoke detection algorithm to realize the recognition of the target data representing the open flame or smoke in the monitoring data. The target data representing the open flame or smoke in the monitoring data refers to the pixel points in the monitoring data whose image content is open flame or smoke.

[0104] Specifically, due to the characteristics of combustion, although no open flame is produced in the smoldering stage, a large amount of smoke can be generated. Therefore, it is more accurate to judge whether a fire is currently occurring based on target data representing the smoke.

[0105] Specifically, since electric vehicles generally have a fixed combustion point in the initial combustion stage, the smoke generated generally diffuses in a triangular shape, and the color of the smoke is generally off-white or gray. Therefore, a smoke detection algorithm can be constructed based on the shape and color characteristics of the smoke to identify the target data representing the smoke in the monitoring data. The specific construction method of the smoke detection algorithm can be implemented using a convolutional neural network with self-learning function.

[0106] Step 32: If there is open flame and / or smoke, it is determined that a fire has occurred at the location where the open flame and / or smoke exists.

[0107] Specifically, when open flames and / or smoke are detected in the power supply station, it means that a fire hazard has occurred and must be responded to in a timely manner to prevent the fire from expanding and spreading.

[0108] The specific fire situation judgment process includes steps 41 to 46.

[0109] Step 41, determining whether there is target data representing an open flame in the video data.

[0110] Specifically, this step uses video data analysis to determine whether there is an open flame in the power supply station. Open flames are more accurate and faster than smoke detection due to their high brightness and fixed color. Therefore, it is also possible to determine whether a fire has occurred in the charging station by detecting whether there is target data representing open flames in the video data.

[0111] The open flame detection algorithm can be constructed based on the characteristic data of the flame. Here, the present invention provides a target data detection scheme for characterizing the open flame, specifically:

[0112] S41-1, converting the monitoring data into RGB frame image data.

[0113] Specifically, monitoring data belongs to video data, and converting it into frame image data can facilitate image content recognition and improve the speed and accuracy of open fire detection. RGB frame image data refers to frame image data with RGB mode (RGB color mode; red, green, blue color mode) as the color mode.

[0114] S41-2, converting the RGB frame image data into HSI image data.

[0115] Specifically, HSI image data refers to image data with HSI mode (Hue-Saturation-Intensity color mode) as the color mode, where H is hue, S is saturation, and I is brightness. The conversion of RGB frame image data to HSI image data can be quickly completed through the RGB-HSI conversion formula.

[0116] S41-3, determining whether there are any pixels in the HSI image data whose brightness is greater than a brightness threshold.

[0117] Specifically, compared with surrounding objects and ambient light, the brightness of the flame in the image is higher, so the brightness can be used as the characteristic data of the open flame. By detecting the brightness information of each pixel in the HSI image data, it is preliminarily determined whether there is an open flame in the image.

[0118] S41-4: If there is a pixel whose brightness is greater than the brightness threshold, determine whether the saturation of the pixel is greater than the saturation threshold.

[0119] Specifically, since the vehicles in the image, the lights on the scene, and the sunlight reflected by the mirror all have high brightness, they are interference items in the open flame detection, affecting the accuracy of the open flame detection, so these interference items need to be eliminated. This step takes into account that the color of the flame during combustion is mostly red and yellow, and its saturation is much higher than the saturation of the light and reflected sunlight. Therefore, the interference of the interference items can be filtered out by the saturation threshold, thereby accurately completing the image recognition detection of the target data representing the open flame.

[0120] S41-5, if the saturation of the pixel point is greater than the saturation threshold, it is determined that target data representing an open flame exists in the monitoring data.

[0121] Specifically, the target data of the open flame is brightness and saturation data that meet certain requirements. When the brightness and saturation of a certain pixel in the image are both at a high level, the pixel represents an open flame.

[0122] Step 42: If the target data representing an open flame exists, it is determined that an open flame exists in the electric energy supply station.

[0123] Specifically, when target data representing open flames is detected in the monitoring data, it means that a fire hazard has occurred and timely response is required to prevent the fire from expanding and spreading.

[0124] Step 43, determining whether there is target data representing smoke in the video data.

[0125] Here, the present invention also provides a solution for identifying target data representing smoke in video data by using a smoke detection algorithm. The specific solution is:

[0126] S42-1, converting the video data into frame image data.

[0127] Specifically, converting video data into frame image data can facilitate image content recognition and improve the speed and accuracy of smoke detection.

[0128] S42-2, using a smoke detection algorithm to determine whether there is target data representing smoke in the frame image data.

[0129] Specifically, the smoke detection algorithm can traverse the entire frame image data based on the characteristic data of the smoke (such as color, shape, etc., where the target data representing the smoke is the color data and / or shape data corresponding to the characteristics of the smoke), thereby completing the detection of the target data representing the smoke in the image.

[0130] S42-3, if so, it is determined that target data representing smoke exists in the video data.

[0131] Specifically, if the presence of target data representing smoke is detected in multiple consecutive frames of images, it can be indicated that a fire accident has occurred at the charging station.

[0132] Step 44: If the target data representing the smoke exists, it is determined that smoke exists in the electric energy supply station.

[0133] Specifically, when target data representing smoke is detected in the monitoring data, it means that a fire hazard has occurred and timely response is required to prevent the fire from expanding and spreading.

[0134] In practical applications, the monitoring data may also include smoke concentration data, so that it is also possible to determine whether there is smoke in the power supply station based on the smoke concentration data, including:

[0135] Step 45: judging, based on the smoke concentration data, whether there is a third location in the electric energy supply station where the current smoke concentration exceeds a concentration threshold.

[0136] Specifically, this step utilizes the smoke sensor provided in the electric energy supply station to obtain the smoke concentration at one or more locations in the electric energy supply station, and performs the operation of this step by concentration comparison.

[0137] Step 46: If there is a third location where the current smoke concentration exceeds the concentration threshold, it is determined that smoke exists in the power supply station.

[0138] Specifically, when target data representing smoke is detected in the monitoring data, it means that a fire hazard has occurred and timely response is required to prevent the fire from expanding and spreading.

[0139] The above steps 41 to 42 are open flame identification solutions, steps 43 to 44, and steps 45 to 46 are two different smoke identification solutions. In specific applications, these three solutions can be combined to improve the accuracy of identifying abnormal fire conditions.

[0140] Step 12: If yes, generate a processing control instruction corresponding to the abnormal situation and send it to the controlled device to process the abnormal situation.

[0141] Specifically, the controlled device is a device that needs to perform an exception handling operation.

[0142] Specifically, for abnormal temperature conditions, each processing control instruction corresponds to an abnormal processing strategy, which can be:

[0143] First, according to the location where the temperature anomaly occurs, determine the equipment that needs to be handled, which can be a specific charging pile, battery replacement equipment, etc. Then send the processing instruction to the controller of the device terminal, and the controller controls the device to perform current limiting operation to reduce its working current, thereby effectively reducing the heat generation at the location where the temperature anomaly occurs, avoiding combustion due to excessive temperature or rapid temperature rise. In addition, the alarm in the power supply station can also be triggered synchronously to remind the staff in the station to go to handle it and evacuate the personnel and vehicles in the station.

[0144] Specifically, for the fire situation of the electric energy supply station, each processing control instruction corresponds to an exception handling strategy, which can be:

[0145] First, determine the location of the fire point according to the location of the abnormal fire situation. Specifically, it can be determined by the installation location of smoke sensors, temperature sensors and other equipment, and can also be determined by the installation location of surveillance cameras and the relative position in the surveillance video; then, determine the equipment that needs to be handled abnormally; finally, send a power-off command to power off the equipment that needs to be handled abnormally to prevent the fire from spreading. In addition, the alarm in the power supply station can be triggered synchronously to remind the staff in the station to deal with it and evacuate the personnel and vehicles in the station. Of course, it can also have the function of automatically reporting a fire and contacting the fire brigade to put out the fire.

[0146] Specifically, since the relative position between the camera and the charging pile of the charging station is fixed, the position of the charging pile and other equipment in the monitoring data is fixed. The monitoring data areas can be divided in advance, and the actual position of the charging station corresponding to each small area can be set. Therefore, when it is determined that open flames or smoke appear in a certain area in the monitoring data, the fire location can be determined through simple conversion.

[0147] Of course, it is also possible to use a precisely calibrated measuring camera device, and according to the spatial position of the optical center of the measuring camera device, calculate the spatial position corresponding to a certain pixel point in the monitoring data through the transformation of the geodetic coordinate system, thereby realizing the determination of the fire location.

[0148] The processing control instructions corresponding to the abnormal temperature situation include steps 51 to 52.

[0149] Step 51 : generating a current limiting instruction to perform a current limiting operation on the electric energy supply device corresponding to the location where the abnormal temperature occurs.

[0150] Specifically, for conventional charging stations, when it is found that the temperature at a certain charging pile is too high (for example, the temperature of the charging gun is too high or the temperature of the battery pack of the electric vehicle is too high) and exceeds the set temperature threshold, a current limiting instruction is generated and sent to the controller of the charging pile to reduce the charging current of the charging pile; similar solutions can also be adopted for other power supply stations.

[0151] Step 52, generating a temperature abnormality alarm instruction to control the alarm device to send a temperature abnormality alarm.

[0152] Specifically, the abnormal temperature alarm instruction can trigger an alarm in the electric energy supply station, reminding the staff in the station to deal with it and evacuate the personnel and vehicles in the station.

[0153] The processing control instructions corresponding to the fire situation in the electric energy supply station include steps 61 to 63.

[0154] Step 61, generating a power-off instruction to perform a power-off operation on the power supply equipment corresponding to the location where the fire occurs in the power supply station.

[0155] Specifically, when an open flame or smoke is found at a certain location in the power supply station, indicating that a fire has occurred in the power supply station, the control end will generate a power-off command to cut off the power supply to the equipment around the fire point or cut off the regular power supply in the entire station.

[0156] Step 62, generating an automatic fire extinguishing instruction to control the automatic fire extinguishing device to extinguish the fire.

[0157] Specifically, the automatic fire extinguishing operation can be performed by an existing automatic fire extinguishing device, such as an automatic fire extinguishing ball launching device and an automatic sprinkler fire extinguishing device.

[0158] Here, taking the automatic sprinkler fire extinguishing device as an example, the program flow of automatic fire extinguishing operation is explained.

[0159] In this embodiment, the automatic sprinkler fire extinguishing device includes a plurality of sprinkler heads, which are distributed in the power supply station. Preferably, each position of the power supply station falls within the fire extinguishing range of at least one sprinkler head, and the sprinkler head is the sprinkler head corresponding to this position. The sprinkler heads in this embodiment can rotate along the horizontal and vertical planes respectively. When an abnormal fire occurs at a certain position in the power supply station, the sprinkler head corresponding to the position quickly adjusts the sprinkler head angle, aligns with the fire position, and performs efficient fire extinguishing. Specifically, the fire extinguishing substance can be water, or a water-based fire extinguishing agent, etc.

[0160] Specifically, since the relative position between the camera and the charging pile of the charging station is fixed, the position of the charging pile and other equipment in the monitoring data is fixed. The monitoring data areas can be divided in advance, and the actual position of the charging station corresponding to each small area can be set. Therefore, when it is determined that open flames or smoke appear in a certain area in the monitoring data, the fire location can be determined through simple conversion.

[0161] Of course, it is also possible to use a precisely calibrated measuring camera device, and according to the spatial position of the optical center of the measuring camera device, calculate the spatial position corresponding to a certain pixel point in the monitoring data through the transformation of the geodetic coordinate system, thereby realizing the determination of the fire location.

[0162] Specifically, since the fire sprinkler can be responsible for extinguishing fires at multiple locations, its sprinkler angle cannot be exactly facing the fire location. After knowing the installation location of the fire sprinkler and the current sprinkler angle, this step can calculate the difference between the current sprinkler angle and the sprinkler angle when the sprinkler is facing the fire location through simple geometric calculation. This difference is the angle adjustment value corresponding to the fire sprinkler. According to the calculated angle adjustment value, the fire sprinkler can be quickly adjusted to face the fire location.

[0163] Step 63, generating a fire abnormality alarm instruction to control the alarm to send a fire alarm.

[0164] Specifically, the abnormal fire alarm instruction can trigger the alarm in the power supply station, reminding the staff in the station to deal with it and evacuate the personnel and vehicles in the station.

[0165] In practical applications, controlling the alarm to send a fire alarm may include: sending a fire alarm to the fire brigade corresponding to the power supply station, thereby realizing fire linkage between the power supply station and the fire brigade.

[0166] In addition, the server can also classify and sort the safety of multiple power supply stations based on information such as the time and frequency of fire / temperature abnormalities at the power supply stations; when intelligently pushing power supply stations to users waiting to be charged, safety factors will be taken into consideration, and power supply stations with high safety will be recommended first, and managers of power supply stations with low safety will be notified to make timely rectifications to the equipment.

[0167] Based on the same inventive concept as the method, the embodiment of the present invention also provides an abnormality handling device for an electric energy supply station, such as Figure 2 The structure diagram of the device embodiment is shown, and the device can implement all the process steps described in the above method, specifically including:

[0168] The first judgment module 71 is used to judge whether an abnormal situation occurs according to the monitoring data of the electric energy supply station; the monitoring data includes temperature data and / or video data, which is collected by sensors set at each monitoring point of the electric energy supply station;

[0169] The first control module 72 is used to generate a processing control instruction corresponding to an abnormal situation and send it to the controlled device to process the abnormal situation when an abnormal situation occurs.

[0170] In a possible embodiment, the first determining module 71 includes:

[0171] A second judgment module is used to judge whether there is a first position in the electric energy supply station where the current temperature exceeds a temperature threshold according to the temperature data;

[0172] A first identification module, configured to identify that a temperature abnormality occurs at a first location in the electric energy supply station when the first location has a current temperature exceeding a temperature threshold;

[0173] and / or,

[0174] A third judgment module is used to judge whether there is a second position in the electric energy supply station where the temperature rise speed exceeds a speed threshold according to the temperature data;

[0175] The second identification module is used to identify that the temperature abnormality occurs at a second location in the electric energy supply station when the second location has a temperature rise rate exceeding a rate threshold.

[0176] In a possible embodiment, the first determination module includes:

[0177] A fourth judgment module is used to judge whether there is an open flame and / or smoke in the power supply station;

[0178] The third identification module is used to identify the occurrence of fire at the location where the open flame and / or smoke exists when there is an open flame and / or smoke in the electric energy supply station.

[0179] In a possible embodiment, the fourth determination module includes:

[0180] A fifth judgment module, used to judge whether there is target data representing an open flame in the video data;

[0181] A fourth identification module, configured to identify the presence of an open fire in the electric energy supply station when target data representing an open fire is present in the video data;

[0182] and / or,

[0183] A sixth judgment module, used to judge whether there is target data representing smoke in the video data;

[0184] The fifth identification module is used to identify the presence of smoke in the electric energy supply station when target data representing smoke exists in the video data.

[0185] In a possible embodiment, the monitoring data also includes smoke concentration data;

[0186] The fourth judgment module includes:

[0187] A seventh judgment module, configured to judge, based on the smoke concentration data, whether there is a third location in the electric energy supply station where the current smoke concentration exceeds a concentration threshold;

[0188] The sixth identification module is used to identify the presence of smoke in the electric energy supply station when there is a third position in the electric energy supply station where the current smoke concentration exceeds the concentration threshold.

[0189] In a possible embodiment, the first control module 72 includes:

[0190] A second control module is used to generate a current limiting instruction to perform a current limiting operation on the electric energy supply device corresponding to the location where the abnormal temperature occurs;

[0191] The third control module is used to generate an abnormal temperature alarm instruction to control the alarm to send an abnormal temperature alarm.

[0192] In a possible embodiment, the first control module 72 includes:

[0193] a fourth control module, configured to generate a power-off instruction to perform a power-off operation on the power supply equipment corresponding to the location where the fire occurs in the power supply station;

[0194] A fifth control module, used to generate an automatic fire extinguishing instruction to control the automatic fire extinguishing device to extinguish the fire;

[0195] The sixth control module is used to generate an abnormal fire alarm instruction to control the alarm to send a fire alarm.

[0196] In a possible embodiment, the device further includes:

[0197] The seventh control module is used to send a fire alarm to the fire brigade corresponding to the electric energy supply station.

[0198] Based on the same inventive concept as in the aforementioned embodiment, an embodiment of the present invention also provides an exception handling device for an electric energy supply station, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any of the aforementioned methods when executing the program.

[0199] Based on the same inventive concept as in the aforementioned embodiment, an embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of any of the aforementioned methods are implemented.

[0200] The technical solution provided in the embodiments of the present application has at least the following technical effects or advantages:

[0201] The embodiment of the present invention can determine whether an abnormal situation occurs in the electric energy supply station based on the monitoring data of the electric energy supply station; after the abnormal situation occurs, a processing control instruction corresponding to the abnormal situation will be generated according to the specific abnormal situation and sent to the controlled device to process the abnormal situation and eliminate the dangerous situation in the electric energy supply station, thereby improving the safety of the electric energy supply station.

[0202] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0203] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (modules, systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0204] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0205] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0206] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0207] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for handling abnormalities in an electric energy supply station, characterized in that: The method comprises: Determine whether an abnormal situation occurs according to monitoring data of the electric energy supply station; the monitoring data includes temperature data and / or video data, which is collected by sensors arranged at each monitoring point of the electric energy supply station; If so, generating a processing control instruction corresponding to the abnormal situation and sending it to the controlled device to process the abnormal situation; The step of judging whether an abnormal situation currently occurs according to the monitoring data of the electric energy supply station includes: Determining whether there is open flame and / or smoke in the power supply station; If so, it is considered that a fire is present at the location where open flames and / or smoke are present; The measuring camera device collects the monitoring data, and according to the spatial position of the optical center of the measuring camera device, the spatial position corresponding to a certain pixel point in the monitoring data is calculated through the transformation of the geodetic coordinate system to determine the fire position.

2. The exception handling method according to claim 1, characterized in that: The step of judging whether an abnormal situation occurs according to the monitoring data of the electric energy supply station includes: Determining, according to the temperature data, whether there is a first location in the electric energy supply station where the current temperature exceeds a temperature threshold; If yes, it is determined that the first position has an abnormal temperature condition; and / or, Determining, based on the temperature data, whether there is a second location in the electric energy supply station where the temperature rise rate exceeds a speed threshold; If so, it is determined that the temperature abnormality occurs at the second position.

3. The exception handling method according to claim 1, characterized in that: The determining whether there is an open flame and / or smoke in the electric energy supply station includes: Determining whether there is target data representing an open flame in the video data; If yes, it is determined that there is an open flame in the power supply station; and / or, Determining whether there is target data representing smoke in the video data; If so, it is determined that smoke exists in the power supply station.

4. The exception handling method according to any one of claims 1 or 3, characterized in that: The monitoring data also includes smoke concentration data; The determining whether there is smoke in the electric energy supply station includes: According to the smoke concentration data, determining whether there is a third location in the electric energy supply station where the current smoke concentration exceeds a concentration threshold; If so, it is determined that smoke exists in the power supply station.

5. The exception handling method according to claim 2, characterized in that: The generating of the processing control instruction corresponding to the abnormal situation includes: generating a current limiting instruction to perform a current limiting operation on the electric energy supply device corresponding to the location where the abnormal temperature occurs, and / or, Generates temperature abnormality alarm instructions to control the alarm to send temperature abnormality alarms.

6. The exception handling method according to claim 1, characterized in that: The generating of the processing control instruction corresponding to the abnormal situation includes: generating a power-off instruction to perform a power-off operation on the power supply equipment corresponding to the location where the fire occurs in the power supply station; Generate automatic fire extinguishing instructions to control the automatic fire extinguishing device to extinguish the fire; Generate abnormal fire alarm instructions to control the alarm to send a fire alarm.

7. The exception handling method according to claim 6, characterized in that: The control alarm sends a fire alarm, comprising: Report a fire alarm to the fire brigade corresponding to the electric energy supply station.

8. An abnormality handling device for an electric energy supply station, characterized in that: The device comprises: A first judgment module is used to judge whether an abnormal situation occurs according to monitoring data of the electric energy supply station; the monitoring data includes temperature data and / or video data, which is collected by sensors set at each monitoring point of the electric energy supply station; A first control module is used to generate a processing control instruction corresponding to the abnormal situation and send it to the controlled device when an abnormal situation occurs, so as to process the abnormal situation; The first judgment module includes: A fourth judgment module is used to judge whether there is an open flame and / or smoke in the power supply station; A third identification module is used to identify that a fire occurs at a location where an open flame and / or smoke exists when an open flame and / or smoke exists in the electric energy supply station; The measuring camera device collects the monitoring data, and according to the spatial position of the optical center of the measuring camera device, the spatial position corresponding to a certain pixel point in the monitoring data is calculated through the transformation of the geodetic coordinate system to determine the fire position.

9. The abnormality handling device according to claim 8, characterized in that: The first judgment module includes: A second judgment module is used to judge whether there is a first position in the electric energy supply station where the current temperature exceeds a temperature threshold according to the temperature data; A first identification module, configured to identify that a temperature abnormality occurs at a first location in the electric energy supply station when the first location has a current temperature exceeding a temperature threshold; and / or, A third judgment module is used to judge whether there is a second position in the electric energy supply station where the temperature rise speed exceeds a speed threshold according to the temperature data; The second identification module is used to identify that the temperature abnormality occurs at a second location in the electric energy supply station when the second location has a temperature rise rate exceeding a rate threshold.

10. An abnormality handling device for an electric energy supply station, characterized in that: include: Memory for storing computer programs; A processor, configured to execute the computer program to implement the steps of any one of the methods of claims 1 to 7.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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