CN112861754A - Abnormity processing method and device for electric energy supply station - Google Patents
Abnormity processing method and device for electric energy supply station Download PDFInfo
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Abstract
The invention relates to the technical field of electric automobiles, in particular to an exception handling method and device for an electric energy supply station. The method comprises the following steps: judging whether an abnormal condition occurs according to the monitoring data of the electric energy supply station; the monitoring data comprises temperature data and/or video data and is acquired by sensors arranged at monitoring points of the electric energy supply station; and if so, generating a processing control instruction corresponding to the abnormal condition and sending the processing control instruction to the controlled equipment so as to process the abnormal condition. According to the monitoring data of the electric energy supply station, whether an abnormal condition occurs in the electric energy supply station can be judged; and the abnormal condition is processed in time, so that the dangerous case in the electric energy supply station is eliminated, and the safety of the electric energy supply station is improved.
Description
Technical Field
The invention relates to the technical field of electric automobiles, in particular to an exception handling method, device, equipment and storage medium for an electric energy supply station.
Background
Nowadays, the technology of the electric automobile is developed vigorously, and the electric automobile is green and environment-friendly, low in vehicle using cost and stable in starting, and becomes a great choice for people to use the electric automobile. The electric energy supply station provides great convenience for charging the electric automobile.
Because the technology of electric automobile belongs to new technology, its maturity is less than traditional car, and electric automobile takes place when carrying out the burning accident of electric energy supply's in-process, consequently, how to improve the security of electric energy supply station is the technical problem that needs to solve at present urgently.
Disclosure of Invention
The invention aims to provide an exception handling method and device for an electric energy supply station, which are used for improving the safety of the electric energy supply station.
The embodiment of the invention provides the following scheme:
in a first aspect, an embodiment of the present invention provides an exception handling method for an electric energy replenishment station, where the method includes:
judging whether an abnormal condition occurs according to the monitoring data of the electric energy supply station; the monitoring data comprise temperature data and/or video data and are acquired by sensors arranged at monitoring points of the electric energy supply station;
and if so, generating a processing control instruction corresponding to the abnormal condition and sending the processing control instruction to the controlled equipment so as to process the abnormal condition.
In a possible embodiment, the determining whether an abnormal condition occurs according to the monitoring data of the electric energy supply station includes:
judging whether a first position with the current temperature exceeding a temperature threshold exists in the electric energy supply station according to the temperature data;
if so, determining that the temperature abnormality condition occurs at the first position;
and/or the presence of a gas in the gas,
judging whether a second position with the temperature rising speed exceeding a speed threshold exists in the electric energy supply station or not according to the temperature data;
if so, determining that the temperature abnormal condition occurs at the second position.
In a possible embodiment, the determining whether an abnormal condition currently occurs according to the monitoring data of the electric energy supply station includes:
judging whether open fire and/or smoke exist in the electric energy supply station;
if so, the fire is identified at the location where the open fire and/or smoke is present.
In a possible embodiment, the determining whether there is open fire and/or smoke in the electric energy supply station includes:
judging whether target data representing open fire exist in the video data;
if so, determining that open fire exists in the electric energy supply station;
and/or the presence of a gas in the gas,
judging whether target data representing smoke exists in the video data or not;
and if so, determining that smoke exists in the electric energy supply station.
In one possible embodiment, the monitoring data further comprises smoke concentration data;
the judging whether smoke exists in the electric energy supply station comprises the following steps:
judging whether a third position with the current smoke concentration exceeding a concentration threshold exists in the electric energy supply station or not according to the smoke concentration data;
and if so, determining that smoke exists in the electric energy supply station.
In a possible embodiment, the generating a processing control instruction corresponding to the abnormal condition includes:
generating a current limiting instruction to carry out current limiting operation on the electric energy supply equipment corresponding to the position where the temperature abnormal condition occurs;
and generating a temperature abnormity alarm instruction to control the alarm to send a temperature abnormity alarm.
In a possible embodiment, the generating a processing control instruction corresponding to the abnormal condition includes:
generating a power-off instruction to perform power-off operation on the electric energy supply equipment corresponding to the position where the fire occurs in the electric energy supply station;
generating an automatic fire extinguishing instruction to control an automatic fire extinguishing device to extinguish fire;
and generating a fire abnormity alarm instruction to control the alarm to send a fire alarm.
In one possible embodiment, the control alarm sends a fire alarm, comprising:
and carrying out fire alarm on the fire brigade corresponding to the electric energy supply station.
In a second aspect, an embodiment of the present invention provides an exception handling apparatus for an electric energy replenishment station, where the apparatus includes:
the first judgment module is used for judging whether an abnormal condition occurs according to the monitoring data of the electric energy supply station; the monitoring data comprise temperature data and/or video data and are acquired by sensors arranged at monitoring points of the electric energy supply station;
and the first control module is used for generating a processing control instruction corresponding to the abnormal condition and sending the processing control instruction to the controlled equipment when the abnormal condition occurs so as to process the abnormal condition.
In a possible embodiment, the first determining module includes:
the second judgment module is used for judging whether a first position with the current temperature exceeding a temperature threshold exists in the electric energy supply station according to the temperature data;
the first determination module is used for determining that the temperature abnormality occurs at a first position when the current temperature of the first position exceeds a temperature threshold value in the electric energy supply station;
and/or the presence of a gas in the gas,
the third judging module is used for judging whether a second position with the temperature rising speed exceeding a speed threshold exists in the electric energy supply station according to the temperature data;
and the second identification module is used for identifying that the temperature abnormal condition occurs at the second position when the second position with the temperature rising speed exceeding the speed threshold exists in the electric energy supply station.
In a possible embodiment, the first determining module includes:
the fourth judgment module is used for judging whether open fire and/or smoke exist in the electric energy supply station;
and the third identification module is used for identifying the position where the open fire and/or the smoke exist to have a fire condition when the open fire and/or the smoke exist in the electric energy supply station.
In a possible embodiment, the fourth determining module includes:
the fifth judgment module is used for judging whether target data representing open fire exist in the video data;
the fourth determination module is used for determining that the open fire exists in the electric energy supply station when target data representing the open fire exists in the video data;
and/or the presence of a gas in the gas,
a sixth judging module, configured to judge whether target data representing smoke exists in the video data;
and the fifth identification module is used for identifying that smoke exists in the electric energy supply station when target data representing the smoke exists in the video data.
In one possible embodiment, the monitoring data further comprises smoke concentration data;
the fourth determining module includes:
the seventh judging module is used for judging whether a third position with the current smoke concentration exceeding a concentration threshold exists in the electric energy supply station according to the smoke concentration data;
and the sixth confirming module is used for confirming that smoke exists in the electric energy supply station when a third position with the current smoke concentration exceeding a concentration threshold exists in the electric energy supply station.
In one possible embodiment, the first control module includes:
the second control module is used for generating a current limiting instruction so as to carry out current limiting operation on the electric energy supply equipment corresponding to the position where the temperature abnormal condition occurs;
and the third control module is used for generating a temperature abnormity alarm instruction so as to control the alarm to send a temperature abnormity alarm.
In one possible embodiment, the first control module includes:
the fourth control module is used for generating a power-off instruction so as to perform power-off operation on the electric energy supply equipment corresponding to the position where the fire occurs in the electric energy supply station;
the fifth control module is used for generating an automatic fire extinguishing instruction so as to control the automatic fire extinguishing device to extinguish fire;
and the sixth control module is used for generating a fire abnormity alarm instruction so as to control the alarm to send a fire alarm.
In a possible embodiment, the apparatus further comprises:
and the seventh control module is used for carrying out fire alarm on the fire brigade corresponding to the electric energy supply station.
In a third aspect, an embodiment of the present invention provides an exception handling apparatus for an electric energy replenishment station, including:
a memory for storing a computer program;
a processor configured to execute the computer program to implement the steps of the abnormality processing method for an electric energy replenishment station according to any one of the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the steps of the abnormality processing method for an electric energy replenishment station according to any one of the first aspect.
Compared with the prior art, the invention has the following advantages and beneficial effects:
according to the monitoring data of the electric energy supply station, whether an abnormal condition occurs in the electric energy supply station can be judged; after the abnormal condition occurs, the processing control instruction corresponding to the abnormal condition is generated according to the specific abnormal condition and is sent to the controlled equipment so as to process the abnormal condition and eliminate the dangerous case in the electric energy supply station, thereby improving the safety of the electric energy supply station.
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In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present specification, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flowchart of an exception handling method for an electric energy replenishment station according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an exception handling device of an electric energy replenishment station according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments, and all other embodiments obtained by those skilled in the art based on the embodiments of the present invention belong to the scope of protection of the embodiments of the present invention.
The embodiment of the invention is applied to the control end of the electric energy supply station, the control end can acquire relevant data in the electric energy supply station and can also control relevant equipment of the electric energy supply station, and the control end can be a management controller of the electric energy supply station and a charging pile server.
Referring to fig. 1, fig. 1 is a flowchart illustrating an exception handling method for an electric energy supply station according to the present embodiment, which specifically includes steps 11 to 12.
And 11, judging whether an abnormal condition occurs or not according to the monitoring data of the electric energy supply station.
The monitoring data comprise temperature data and/or video data, and are acquired by sensors arranged at monitoring points of the electric energy supply station.
Specifically, the monitoring data of the electric energy supply station may be a detection signal of a sensor in the electric energy supply station, for example, temperature data at a charging gun in a charging process is obtained by a temperature sensor arranged on the charging gun in the charging station, and smoke concentration data at each position is obtained by a smoke sensor arranged in the charging/converting station; the monitoring data of the electric energy supply station can also be data such as the temperature of a single battery, the electric quantity of the single battery, the voltage of a battery pack and the like when the automobile supplies electric energy, and the data is acquired by automobile body BMS equipment.
The monitoring data of the electric energy supply station can also be video data acquired by a camera in the electric energy supply station, for example, a temperature distribution map of each position in the video data can be acquired through the video data acquired by an infrared camera, so that the content analysis is performed on the video data, and the monitoring data has the specific target data of identifying smoke, flame and the like in the video data.
The abnormal conditions in the step refer to dangerous conditions or potential dangerous conditions in the electric energy supply station, and are more common temperature abnormal conditions and fire conditions.
A temperature abnormal situation judgment scheme is provided, which comprises two temperature abnormal situation identification schemes:
temperature anomaly identification scheme one:
and step 21, judging whether a first position with the current temperature exceeding a temperature threshold exists in the electric energy supply station according to the temperature data.
The current temperature of a certain position or certain positions in the electric energy supply station can be obtained according to a temperature sensor arranged in the electric energy supply station, a vehicle machine system or an infrared camera of the electric vehicle, and then whether the current temperature exceeds the temperature threshold value is judged, so that the judgment work of the step is completed.
Specifically, the temperature sensor can be arranged at a corresponding position according to the field requirement, for example, the temperature sensor can be arranged on a charging pile in a charging station, and can also be arranged on an infrastructure of an electric energy supply station; and the infrared camera can set up in corresponding position (for example the ceiling of electric energy supply station, fill electric pile and trade position such as electric equipment) according to the on-the-spot needs.
Specifically, the temperature threshold may be a fixed certain temperature value, and different temperature thresholds may be set at different positions.
And step 22, if the first position exists, determining that the temperature abnormality occurs at the first position.
Specifically, when the corresponding detected temperature at a certain position exceeds a temperature threshold, it indicates that there is a temperature abnormality at the position, which may be a potential fire hazard, and needs to be handled in time to avoid further deterioration.
And a second scheme for determining temperature abnormality:
and step 23, judging whether a second position with the temperature rising speed exceeding a speed threshold exists in the electric energy supply station according to the temperature data.
The current temperature of a certain position or certain positions in the electric energy supply station can be monitored in real time according to a temperature sensor arranged in the electric energy supply station, a vehicle machine system or an infrared camera of the electric automobile, a temperature change curve is obtained, so that the temperature rising speed of the certain position or the certain positions is obtained, and then whether the temperature rising speed exceeds a speed threshold value is judged, so that the judgment work of the step is completed.
Specifically, the speed threshold may be a fixed value, and different temperature rising speed thresholds may be set at different positions.
And 24, if the second position exists, determining that the temperature abnormality occurs at the second position.
Specifically, when the corresponding temperature rising speed at a certain position exceeds a speed threshold, it is indicated that a temperature abnormality exists at the position, which may be a potential fire hazard, and needs to be handled in time to avoid further deterioration.
Of course, in practical application, the first temperature abnormality identification scheme and the second temperature abnormality identification scheme are respectively used as one temperature abnormality identification scheme, and can also be used as the temperature abnormality identification scheme together.
A scheme for judging the fire condition of the electric energy supply station is also provided, and the specific scheme is as follows:
and step 31, judging whether open fire and/or smoke exist in the electric energy supply station.
Specifically, a scheme of video content analysis may be adopted to determine the fire and/or smoke, and a smoke concentration sensor or other devices may also be used to determine the fire and/or smoke.
Specifically, in the scheme of video content analysis, the control end can recognize target data representing open fire or smoke in the monitoring data through an open fire detection algorithm and a smoke detection algorithm. The target data for representing the open fire or the smoke in the monitoring data refers to pixel points of the image content in the monitoring data which are the open fire or the smoke.
Specifically, due to the characteristics of combustion, although open fire is not generated in the smoldering stage of combustion, a large amount of smoke can be generated, so that whether a fire disaster happens at present or not is judged more accurately according to target data representing smoke.
Specifically, because the electric vehicle generally has a fixed combustion point in an initial combustion stage, the generated smoke generally diffuses in a triangular shape, and the color of the smoke is generally off-white or gray, so that a smoke detection algorithm can be constructed according to the shape characteristics and the color characteristics of the smoke, and thus target data representing the smoke in the monitored data can be identified. The specific construction mode of the smoke detection algorithm can be realized by adopting a convolutional neural network with a self-learning function.
If open fire and/or smoke is present, a fire condition is identified at the location where open fire and/or smoke is present, step 32.
Specifically, when open fire and/or smoke in the electric energy supply station are detected, the situation that fire danger exists at present is indicated, and the fire danger needs to be dealt with in time, so that the fire is prevented from spreading.
The specific fire judgment process includes steps 41 to 46.
And step 41, judging whether target data representing open fire exists in the video data.
Specifically, whether open fire exists in the electric energy supply station is judged in a video data analysis mode, the open fire is more accurate and rapid in comparison with smoke detection due to high brightness and fixed color, and therefore whether fire disasters happen to the charging station can be judged by detecting whether target data representing the open fire exist in the video data.
The open fire detection algorithm can be constructed based on the characteristic data of flames, and the invention provides a target data detection scheme for representing open fire, which comprises the following specific steps:
and S41-1, converting the monitoring data into RGB frame image data.
Specifically, the monitoring data belongs to video data, and the video data is converted into frame image data, so that the image content can be conveniently identified, and the speed and the accuracy of open fire detection are improved. The RGB frame image data refers to frame image data having an RGB mode (RGB color mode; red, green, and blue color mode) as a color mode.
S41-2, converting the RGB frame image data into HSI image data.
Specifically, the HSI image data refers to image data in which an HSI mode (Hue-Saturation-luminance color mode) is used as a color mode, H is Hue, S is Saturation, and I is luminance, and conversion from RGB frame image data to HSI image data can be quickly completed by using an RGB-HSI conversion formula.
And S41-3, judging whether the HSI image data has pixel points with the brightness larger than the brightness threshold value.
Specifically, compared with surrounding objects and ambient light, the brightness of flames in the image is higher, so that the brightness can be used as the characteristic data of the open fire, and whether the open fire exists in the image is preliminarily determined by detecting the brightness information of each pixel point in the HSI image data.
S41-4, if a pixel point with the brightness larger than the brightness threshold exists, judging whether the saturation of the pixel point is larger than the saturation threshold.
Specifically, since lights of vehicles and scenes in the image and the specular reflected sunlight also have high brightness, which belong to interference terms in the open fire detection and affect the accuracy of the open fire detection, the interference terms need to be eliminated. In the step, the fact that most of flame colors are red yellow during combustion and the saturation degree of the flame colors is far higher than that of the lamp light and the reflected sunlight is considered, so that the interference of interference items can be filtered through a saturation degree threshold value, and the image recognition and detection of the target data representing the open fire are accurately completed.
S41-5, if the saturation of the pixel point is larger than the saturation threshold, determining that target data representing open fire exist in the monitoring data.
Specifically, the target data of the open fire is brightness and saturation data satisfying a certain requirement. When the brightness and the saturation of a certain pixel point in the image are both in a higher level, the pixel point represents an open fire.
And 42, if the target data for representing the open fire exist, determining that the open fire exists in the electric energy supply station.
Specifically, when the target data representing the open fire is detected in the monitoring data, the situation that the fire dangerous situation exists at present is indicated, and the situation must be responded in time, so that the fire is prevented from spreading.
And 43, judging whether target data representing smoke exists in the video data.
Here, the present invention further provides a scheme for identifying target data representing smoke in video data by using a smoke detection algorithm, and the specific scheme is as follows:
s42-1, converting the video data into frame image data.
Specifically, the video data is converted into the frame image data, so that the image content can be conveniently identified, and the speed and the accuracy of smoke detection are improved.
And S42-2, judging whether target data representing smoke exists in the frame image data by using a smoke detection algorithm.
Specifically, the smoke detection algorithm can traverse the entire frame of image data according to the feature data of the smoke (for example, color, shape, etc., and then the target data representing the smoke is the color data and/or the shape data corresponding to the smoke characteristics), thereby completing the detection of the target data representing the smoke in the image.
And S42-3, if the target data exist, determining that the target data which are used for representing smoke exist in the video data.
Specifically, if the existence of the target data representing smoke is detected in the continuous multi-frame images, it can be said that the charging station has a fire accident currently.
And step 44, if the target data for representing the smoke exist, determining that the smoke exists in the electric energy supply station.
Specifically, when the target data representing smoke is detected in the monitoring data, the situation that a fire hazard happens at present is indicated, and the situation must be dealt with in time to avoid the fire from spreading.
In practical application, the monitoring data may further include smoke concentration data, so that whether smoke exists in the electric energy supply station may be determined according to the smoke concentration data, specifically including:
and step 45, judging whether a third position with the current smoke concentration exceeding a concentration threshold exists in the electric energy supply station or not according to the smoke concentration data.
Specifically, in the step, the smoke sensor arranged in the electric energy supply station is used for obtaining the smoke concentration at one or more positions in the electric energy supply station, and the operation of the step is completed through concentration comparison.
And step 46, if a third position exists, wherein the current smoke concentration exceeds a concentration threshold value, determining that smoke exists in the electric energy supply station.
Specifically, when the target data representing smoke is detected in the monitoring data, the situation that a fire hazard happens at present is indicated, and the situation must be dealt with in time to avoid the fire from spreading.
The steps 41 to 42 are open fire identification schemes, the steps 43 to 44 and the steps 45 to 46 are two different smoke identification schemes, and the three schemes can be combined in specific applications, so that the identification accuracy of identifying abnormal conditions of fire conditions is improved.
And 12, if so, generating a processing control instruction corresponding to the abnormal condition and sending the processing control instruction to the controlled equipment so as to process the abnormal condition.
Specifically, the controlled device is a device that needs to perform an exception handling operation.
Specifically, for the temperature abnormal condition, each processing control instruction corresponds to an abnormal processing policy, which may specifically be:
firstly, determining equipment needing to perform exception handling operation according to the occurrence position of the temperature exception condition, wherein the equipment can be specific charging pile, battery replacement equipment and the like; then will handle the controller that the instruction sent to equipment terminal, controller controlgear carries out the current-limiting operation, reduces its operating current size to effectively reduce the heat production volume that the temperature anomaly appears the position, avoid appearing burning the condition because of the high temperature or heat-up is too fast. In addition, an alarm in the electric energy supply station can be synchronously triggered to remind workers in the station to go forward for treatment, and the workers and vehicles in the station are evacuated.
Specifically, for the fire situation of the electric energy supply station, each processing control instruction corresponds to an exception handling policy, which may specifically be:
firstly, the position of a fire point is determined according to the occurrence position of the abnormal fire condition, specifically, the position of the fire point can be determined through the installation positions of equipment such as a smoke sensor, a temperature sensor and the like, and the position of the fire point can also be determined by the installation position of a monitoring camera and the relative position in a monitoring video; then, determining equipment needing to perform exception handling operation; and finally, sending a power-off instruction to power off the equipment needing to be subjected to the abnormal processing operation, so that the fire is prevented from spreading. In addition, the alarm in the electric energy supply station can be synchronously triggered to remind workers in the station to go forward and treat, and the personnel and vehicles in the station are evacuated, so that the automatic fire alarm function can be realized, and a fire brigade can be contacted to fight fire.
Specifically, because the relative position between the charging pile of camera and charging station is fixed, the position of equipment such as charging pile in its monitored data is fixed, can divide into each region of monitored data in advance, sets for the actual position of the charging station that each small region corresponds to when confirming that certain region appears naked light or smog in the monitored data, through simple conversion, just confirm the position of catching fire.
Of course, the accurate calibration of the measurement camera device can also be used, and the spatial position corresponding to a certain pixel point in the monitoring data is calculated through the transformation of the geodetic coordinate system according to the spatial position of the optical center of the measurement camera device, so that the determination of the ignition position is realized.
The specific scheme of processing the control command corresponding to the temperature abnormal condition comprises steps 51 to 52.
And step 51, generating a current limiting instruction to perform current limiting operation on the corresponding electric energy supply equipment at the position where the temperature abnormal condition occurs.
Specifically, for a conventional charging station, when a certain charging pile position is found to have an excessively high temperature (for example, a charging gun has an excessively high temperature or a battery pack of an electric vehicle has an excessively high temperature) and exceeds a set temperature threshold, a current limiting instruction is generated and sent to a controller of the charging pile to reduce the charging current of the charging pile; similar schemes may be used for other power supply stations.
And step 52, generating a temperature abnormity alarm instruction to control the alarm to send a temperature abnormity alarm.
Specifically, the temperature abnormity alarm instruction can trigger an alarm in the electric energy supply station to remind workers in the station to go forward for treatment and evacuate the personnel and vehicles in the station.
The specific scheme of processing the control command corresponding to the fire condition of the electric energy supply station comprises steps 61 to 63.
And 61, generating a power-off instruction to perform power-off operation on the electric energy supply equipment corresponding to the position where the fire occurs in the electric energy supply station.
Specifically, when open fire or smoke is found at a certain position in the electric energy supply station, which indicates that a fire has occurred in the electric energy supply station, the control terminal generates a power-off command to cut off power consumption of equipment around the ignition point or cut off normal power consumption in the whole station.
And 62, generating an automatic fire extinguishing instruction to control the automatic fire extinguishing device to extinguish fire.
Specifically, the automatic fire extinguishing operation may be performed by an existing automatic fire extinguishing apparatus, such as an automatic fire extinguishing ball launching apparatus, an automatic sprinkler head fire extinguishing apparatus, and the like.
Here, the flow of the automatic fire extinguishing operation will be described by taking the automatic sprinkler head fire extinguishing apparatus as an example.
In this embodiment, automatic shower nozzle extinguishing device contains a plurality of shower nozzle of putting out a fire, and this a plurality of shower nozzle of putting out a fire distributes and sets up in the electric energy supply station, and every position in preferred electric energy supply station falls into the fire extinguishing range of a shower nozzle of putting out a fire at least, and this shower nozzle of putting out a fire is the shower nozzle of putting out a fire that this position corresponds. The shower nozzle of putting out a fire in this embodiment can rotate along horizontal plane and vertical face respectively, and when the abnormal conditions of condition of a fire appeared in certain position in the electric energy supply station, the shower nozzle angle of just adjusting rapidly of the shower nozzle that puts out a fire that this position corresponds aimed at the position of catching fire, carries out the efficient and puts out a fire the processing. Specifically, the fire extinguishing substance can be water, water-based fire extinguishing agent and the like.
Specifically, because the relative position between the charging pile of camera and charging station is fixed, the position of equipment such as charging pile in its monitored data is fixed, can divide into each region of monitored data in advance, sets for the actual position of the charging station that each small region corresponds to when confirming that certain region appears naked light or smog in the monitored data, through simple conversion, just confirm the position of catching fire.
Of course, the accurate calibration of the measurement camera device can also be used, and the spatial position corresponding to a certain pixel point in the monitoring data is calculated through the transformation of the geodetic coordinate system according to the spatial position of the optical center of the measurement camera device, so that the determination of the ignition position is realized.
Specifically, because the fire extinguishing nozzle can be responsible for the fire extinguishing tasks of a plurality of position points, the angle of the fire extinguishing nozzle cannot face the fire position, and after the installation position and the current angle of the fire extinguishing nozzle are known, the difference value between the current angle of the fire extinguishing nozzle and the angle of the fire extinguishing nozzle when the fire extinguishing nozzle is opposite to the fire position can be calculated through simple geometric calculation, and the difference value is the angle adjustment value corresponding to the fire extinguishing nozzle. According to the calculated angle adjustment value, the fire extinguishing nozzle can be quickly adjusted to be opposite to the direction of the firing position.
And step 63, generating a fire abnormity alarm instruction to control the alarm to send a fire alarm.
Specifically, the abnormal fire alarm instruction can trigger an alarm in the electric energy supply station to remind workers in the station to go forward and process and evacuate the personnel and vehicles in the station.
In practical application, the controlling the alarm to send the fire alarm may include: and carrying out fire alarm on the fire brigade corresponding to the electric energy supply station, and realizing the fire linkage of the electric energy supply station and the fire brigade.
In addition, the server can also carry out safety classification and sequencing on a plurality of electric energy supply stations according to information such as time, frequency and the like of fire/temperature abnormal conditions of the electric energy supply stations; when the intelligent pushing of the electric energy supply station is carried out on the user to be charged, the safety factors are taken into consideration, the electric energy supply station with high safety is preferentially recommended, and the manager of the electric energy supply station with low safety is informed to timely correct the equipment.
Based on the same inventive concept as the method, an embodiment of the present invention further provides an exception handling apparatus for an electric energy supply station, as shown in fig. 2, which is a schematic structural diagram of the embodiment of the apparatus, and the apparatus can implement all the process steps described in the above method, and specifically includes:
the first judgment module 71 is configured to judge whether an abnormal condition occurs according to monitoring data of the electric energy supply station; the monitoring data comprise temperature data and/or video data and are acquired by sensors arranged at monitoring points of the electric energy supply station;
the first control module 72 is configured to, when an abnormal condition occurs, generate a processing control instruction corresponding to the abnormal condition and send the processing control instruction to the controlled device, so as to process the abnormal condition.
In a possible embodiment, the first determining module 71 includes:
the second judgment module is used for judging whether a first position with the current temperature exceeding a temperature threshold exists in the electric energy supply station according to the temperature data;
the first determination module is used for determining that the temperature abnormality occurs at a first position when the current temperature of the first position exceeds a temperature threshold value in the electric energy supply station;
and/or the presence of a gas in the gas,
the third judging module is used for judging whether a second position with the temperature rising speed exceeding a speed threshold exists in the electric energy supply station according to the temperature data;
and the second identification module is used for identifying that the temperature abnormal condition occurs at the second position when the second position with the temperature rising speed exceeding the speed threshold exists in the electric energy supply station.
In a possible embodiment, the first determining module includes:
the fourth judgment module is used for judging whether open fire and/or smoke exist in the electric energy supply station;
and the third identification module is used for identifying the position where the open fire and/or the smoke exist to have a fire condition when the open fire and/or the smoke exist in the electric energy supply station.
In a possible embodiment, the fourth determining module includes:
the fifth judgment module is used for judging whether target data representing open fire exist in the video data;
the fourth determination module is used for determining that the open fire exists in the electric energy supply station when target data representing the open fire exists in the video data;
and/or the presence of a gas in the gas,
a sixth judging module, configured to judge whether target data representing smoke exists in the video data;
and the fifth identification module is used for identifying that smoke exists in the electric energy supply station when target data representing the smoke exists in the video data.
In one possible embodiment, the monitoring data further comprises smoke concentration data;
the fourth determining module includes:
the seventh judging module is used for judging whether a third position with the current smoke concentration exceeding a concentration threshold exists in the electric energy supply station according to the smoke concentration data;
and the sixth confirming module is used for confirming that smoke exists in the electric energy supply station when a third position with the current smoke concentration exceeding a concentration threshold exists in the electric energy supply station.
In a possible embodiment, the first control module 72 comprises:
the second control module is used for generating a current limiting instruction so as to carry out current limiting operation on the electric energy supply equipment corresponding to the position where the temperature abnormal condition occurs;
and the third control module is used for generating a temperature abnormity alarm instruction so as to control the alarm to send a temperature abnormity alarm.
In a possible embodiment, the first control module 72 comprises:
the fourth control module is used for generating a power-off instruction so as to perform power-off operation on the electric energy supply equipment corresponding to the position where the fire occurs in the electric energy supply station;
the fifth control module is used for generating an automatic fire extinguishing instruction so as to control the automatic fire extinguishing device to extinguish fire;
and the sixth control module is used for generating a fire abnormity alarm instruction so as to control the alarm to send a fire alarm.
In a possible embodiment, the apparatus further comprises:
and the seventh control module is used for carrying out fire alarm on the fire brigade corresponding to the electric energy supply station.
Based on the same inventive concept as that in the previous embodiment, an embodiment of the present invention further provides an exception handling apparatus for an electric energy supply station, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of any one of the methods described above when executing the program.
Based on the same inventive concept as in the previous embodiments, embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of any of the methods described above.
The technical scheme provided in the embodiment of the application at least has the following technical effects or advantages:
according to the embodiment of the invention, whether an abnormal condition occurs in the electric energy supply station can be judged according to the monitoring data of the electric energy supply station; after the abnormal condition occurs, the processing control instruction corresponding to the abnormal condition is generated according to the specific abnormal condition and is sent to the controlled equipment so as to process the abnormal condition and eliminate the dangerous case in the electric energy supply station, thereby improving the safety of the electric energy supply station.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (modules, systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such 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 such modifications and variations.
Claims (13)
1. An exception handling method for an electric energy replenishment station, the method comprising:
judging whether an abnormal condition occurs according to the monitoring data of the electric energy supply station; the monitoring data comprise temperature data and/or video data and are acquired by sensors arranged at monitoring points of the electric energy supply station;
and if so, generating a processing control instruction corresponding to the abnormal condition and sending the processing control instruction to the controlled equipment so as to process the abnormal condition.
2. The abnormality handling method according to claim 1, wherein said determining whether an abnormality occurs based on the monitored data of the electric energy replenishment station includes:
judging whether a first position with the current temperature exceeding a temperature threshold exists in the electric energy supply station according to the temperature data;
if so, determining that the temperature abnormality condition occurs at the first position;
and/or the presence of a gas in the gas,
judging whether a second position with the temperature rising speed exceeding a speed threshold exists in the electric energy supply station or not according to the temperature data;
if so, determining that the temperature abnormal condition occurs at the second position.
3. The method for processing the exception according to claim 1, wherein the determining whether the exception is currently generated according to the monitoring data of the electric energy supply station comprises:
judging whether open fire and/or smoke exist in the electric energy supply station;
if so, the fire is identified at the location where the open fire and/or smoke is present.
4. The exception handling method according to claim 3, wherein said determining whether there is an open fire and/or smoke in said station comprises:
judging whether target data representing open fire exist in the video data;
if so, determining that open fire exists in the electric energy supply station;
and/or the presence of a gas in the gas,
judging whether target data representing smoke exists in the video data or not;
and if so, determining that smoke exists in the electric energy supply station.
5. The exception handling method according to any one of claims 3 or 4 wherein the monitoring data further comprises smoke concentration data;
the judging whether smoke exists in the electric energy supply station comprises the following steps:
judging whether a third position with the current smoke concentration exceeding a concentration threshold exists in the electric energy supply station or not according to the smoke concentration data;
and if so, determining that smoke exists in the electric energy supply station.
6. The method according to claim 2, wherein the generating of the processing control instruction corresponding to the abnormal condition includes:
generating a current limiting instruction to perform current limiting operation on the electric energy supply equipment corresponding to the position where the temperature abnormal condition occurs, and/or,
and generating a temperature abnormity alarm instruction to control the alarm to send a temperature abnormity alarm.
7. The method according to claim 3, wherein the generating of the processing control instruction corresponding to the abnormal condition includes:
generating a power-off instruction to perform power-off operation on the electric energy supply equipment corresponding to the position where the fire occurs in the electric energy supply station;
generating an automatic fire extinguishing instruction to control an automatic fire extinguishing device to extinguish fire;
and generating a fire abnormity alarm instruction to control the alarm to send a fire alarm.
8. The exception handling method of claim 7 wherein said control alarm sends a fire alarm comprising:
and carrying out fire alarm on the fire brigade corresponding to the electric energy supply station.
9. An abnormality processing apparatus for an electric energy replenishment station, characterized by comprising:
the first judgment module is used for judging whether an abnormal condition occurs according to the monitoring data of the electric energy supply station; the monitoring data comprise temperature data and/or video data and are acquired by sensors arranged at monitoring points of the electric energy supply station;
and the first control module is used for generating a processing control instruction corresponding to the abnormal condition and sending the processing control instruction to the controlled equipment when the abnormal condition occurs so as to process the abnormal condition.
10. The apparatus according to claim 9, wherein the first determining means includes:
the second judgment module is used for judging whether a first position with the current temperature exceeding a temperature threshold exists in the electric energy supply station according to the temperature data;
the first determination module is used for determining that the temperature abnormality occurs at a first position when the current temperature of the first position exceeds a temperature threshold value in the electric energy supply station;
and/or the presence of a gas in the gas,
the third judging module is used for judging whether a second position with the temperature rising speed exceeding a speed threshold exists in the electric energy supply station according to the temperature data;
and the second identification module is used for identifying that the temperature abnormal condition occurs at the second position when the second position with the temperature rising speed exceeding the speed threshold exists in the electric energy supply station.
11. The apparatus according to claim 9, wherein the first determining means includes:
the fourth judgment module is used for judging whether open fire and/or smoke exist in the electric energy supply station;
and the third identification module is used for identifying the position where the open fire and/or the smoke exist to have a fire condition when the open fire and/or the smoke exist in the electric energy supply station.
12. An abnormality processing apparatus for an electric energy replenishment station, comprising:
a memory for storing a computer program;
a processor for executing the computer program to carry out the steps of the method of any one of claims 1 to 8.
13. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, is adapted to carry out the steps of the method of any one of claims 1 to 8.
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