New energy electric vehicle charging pile AI automatic fire extinguishing system

Abstract

The invention provides a new energy electric vehicle charging pile AI automatic fire extinguishing system which comprises an AI monitoring module used for collecting monitoring data of a current charging pile area in real time through an AI multi-band composite flame detection device, judging whether a fire occurs in the current charging pile area or not and obtaining fire state information; the intelligent control module is used for generating a fire extinguishing control instruction based on the fire state information; the fire extinguishing execution module is used for automatically cutting off a current charging pile power supply and spraying a built-in lithium battery fire extinguishing agent to an ignition point after receiving the fire extinguishing control instruction; the linkage alarm module is used for giving out a high-decibel sound-light alarm when a fire occurs, and sending an alarm notification to a remote terminal through the cloud platform. According to the new energy automobile charging pile, accurate monitoring of key parts of the charging pile is achieved, when a fire occurs in a charging pile area, a response can be rapidly made, a built-in lithium battery fire extinguishing agent is immediately started for fire extinguishing, alarming in multiple modes is timely completed, and the fire rescue efficiency of the new energy automobile charging pile is effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of fire-fighting equipment control, and particularly relates to a new energy electric vehicle charging pile AI automatic fire extinguishing system. BACKGROUND

[0002] With the rapid development of new energy electric vehicles, the number of charging piles, as an important supporting facility, is growing explosively. However, due to the high-voltage and large-current characteristics in the charging process, as well as equipment aging, line faults, battery compatibility problems and other factors, the fire risk of charging piles is significantly higher than that of ordinary electrical equipment, and the fire often occurs in specific small areas such as the charging pile body, the charging gun and the vehicle connection part, and the fire spreads quickly in the early stage. If it cannot be controlled in time, it is easy to cause serious consequences such as vehicle burning.

[0003] At present, the traditional fire extinguishing method of charging piles mainly relies on manual discovery and extinguishing, and there are problems of slow response and untimely fire extinguishing. Although some charging piles are equipped with simple fire extinguishing devices, they lack precise fire monitoring and intelligent control mechanism, and it is difficult to effectively extinguish the fire in the early stage of fire, and the alarm mode is single, which cannot timely notify the relevant personnel for processing. Therefore, there is an urgent need for a new energy electric vehicle charging pile AI automatic fire extinguishing system to solve the above problems. SUMMARY

[0004] The present application provides a new energy electric vehicle charging pile AI automatic fire extinguishing system to solve the problems of slow response, untimely fire extinguishing, inaccurate monitoring and single alarm mode in the existing new energy electric vehicle charging pile fire extinguishing method.

[0005] The present application provides a new energy electric vehicle charging pile AI automatic fire extinguishing system, comprising: An AI monitoring module is used to use an AI multi-band composite flame detection device to collect monitoring data of the current charging pile area in real time, and to determine whether a fire occurs in the current charging pile area and to obtain fire state information; An intelligent control module is used to generate a fire extinguishing control instruction based on the fire state information; A fire extinguishing execution module is used to automatically cut off the power supply of the current charging pile and spray a built-in lithium battery fire extinguishing agent to the fire point after receiving the fire extinguishing control instruction; A linkage alarm module is used to issue a high-decibel sound and light alarm when a fire occurs, and to send an alarm notification to a remote terminal through a cloud platform.

[0006] Preferably, in a new energy electric vehicle charging pile AI automatic fire extinguishing system, the AI monitoring module comprises: The real-time acquisition unit is configured to acquire color filtered image data or video data in the current charging pile area in real time by using the AI multi-band composite flame detection device, and generate monitoring data. The intelligent analysis unit is configured to perform image feature extraction on the monitoring data, perform analysis and processing based on the image features, and determine whether there is a flame or smoke in the current charging pile area. If there is a flame in the current charging pile area, it is determined that a fire has occurred in the current charging pile area. If there is smoke in the current charging pile area, the monitoring data is sorted based on a time axis to generate a time series, and based on the time series, the smoke dispersion direction is determined. According to the smoke dispersion direction, the smoke source is determined by reverse reasoning, and it is determined whether the smoke source is in the current charging pile area. If it is, a fire has occurred in the current charging pile area. The state analysis unit is configured to, when it is determined that there is a fire in the current charging pile area, determine a flame or smoke area based on the image features, and obtain the size and color depth of the flame or smoke area. According to the size and color depth of the flame or smoke area, the fire range and fire size are determined, the fire state information is obtained, and the intelligent control module is sent.

[0007] Preferably, in the new energy electric vehicle charging pile AI automatic fire extinguishing system, the intelligent control module comprises: The state analysis unit is configured to analyze the fire state information, determine the fire occurrence position and the fire size, and generate the fire extinguishing control instruction based on the fire occurrence position and the fire size. The instruction generation unit is configured to generate the fire extinguishing control instruction and send it to the fire extinguishing execution module.

[0008] Preferably, in the new energy electric vehicle charging pile AI automatic fire extinguishing system, the instruction generation unit is further configured to, after the AI monitoring module detects that there is no flame or smoke in the current charging pile area, generate a fire extinguishing completion instruction and send it to the fire extinguishing execution module, and end the spraying of the built-in lithium battery fire extinguishing agent.

[0009] Preferably, in the new energy electric vehicle charging pile AI automatic fire extinguishing system, the fire extinguishing execution module comprises: The power cut-off control unit is configured to, after receiving the fire extinguishing control instruction, send a power interruption instruction to the charging pile power supply, and automatically cut off the power supply of the current charging pile. The alignment control unit is configured to analyze the fire extinguishing control instruction, determine the fire point position and the fire size, and adjust the alignment direction of the built-in fire extinguisher in the charging pile according to the fire point position. The instruction execution unit is configured to, after the position adjustment is completed, spray the built-in lithium battery fire extinguishing agent to the fire point.

[0010] Preferably, in the AI automatic fire extinguishing system of the new energy electric vehicle charging pile, the linkage alarm module comprises: An audible and visual alarm unit is configured to control the audible and visual alarm to emit a high-decibel sound and a warning light when a fire occurs. A remote alarm unit is configured to send an alarm notification to a remote terminal using a cloud platform, and if the fire continues to spread after the preset time of spraying the built-in lithium battery fire extinguishing agent, send a fire information notification to a linkage fire unit.

[0011] Preferably, in the AI automatic fire extinguishing system of the new energy electric vehicle charging pile, the state analysis unit comprises: A time sequence comparison subunit is configured to generate a fire development time sequence based on the time axis of the fire state information, compare the fire size according to the fire development time sequence, and determine whether the current fire has a spreading risk according to the comparison result. An associated interruption control subunit is configured to generate an encrypted power-off instruction to a neighboring charging pile when the current fire has a spreading risk, and the neighboring charging pile decodes the instruction according to a preset key after receiving the encrypted power-off instruction, and automatically cuts off the power supply after successful decoding. A joint fire extinguishing subunit is configured to determine the direction of fire spread when the current fire has a spreading risk. Based on the direction of fire spread, a critical fire extinguishing instruction is generated, and when the fire spreads to the edge of the monitoring overlap area between the current charging pile and the neighboring charging pile, the critical fire extinguishing instruction is triggered immediately and sent to the neighboring charging pile in the direction of fire spread to spray the built-in lithium battery fire extinguishing agent in the direction of fire spread.

[0012] Preferably, in the AI automatic fire extinguishing system of the new energy electric vehicle charging pile, the alignment control unit comprises: A position determination subunit is configured to determine the number of ignition points in the current charging pile area based on the analysis result of the fire extinguishing control instruction. When the number of ignition points is not 1, sort each ignition point based on the fire size to determine the largest fire point. When the number of ignition points is 1, the ignition point or the largest fire point is determined as the initial alignment point. A direction adjustment subunit is configured to obtain the target position coordinates of the initial alignment point, and adjust the alignment direction of the built-in fire extinguishing device of the charging pile based on the target position coordinates. An adaptive adjustment subunit is configured to obtain the image symmetric edge coordinates of the ignition point when the number of ignition points is 1 or the largest fire point and the fire center coordinates. After the built-in lithium battery fire extinguishing agent starts the fire point injection, the control fire extinguishing agent nozzle rotates according to the adaptive rotation strategy, and moves back and forth in the direction of the target position coordinates and the image symmetry edge coordinates until the maximum fire point is extinguished. The target switching subunit is configured to, after the maximum fire point is extinguished, switch the closest fire point to the maximum fire point to a target fire point based on the nearest principle and send the target fire point to the position determination subunit to determine a new initial alignment point.

[0013] Preferably, in the AI automatic fire extinguishing system of the new energy electric vehicle charging pile, the alignment control unit further comprises: The rotation speed control subunit is configured to extract features from the time sequence of the aligned fire point to obtain a plurality of fire sub-features. Based on the fire sub-features and their corresponding correlations, a feature correlation matrix is generated, and the maximum feature value corresponding to the feature evidence is obtained. Based on the maximum feature value, the comprehensive risk degree of the aligned fire point is determined, and based on the comprehensive risk degree, a preset speed change strategy is selected to obtain an adaptive rotation strategy corresponding to the aligned fire point. Based on the adaptive rotation strategy, the speed parameter change of the fire extinguishing agent nozzle in the reciprocating process is determined, and a corresponding rotation control instruction is generated and sent to the fire extinguishing agent nozzle control module.

[0014] Preferably, in the AI automatic fire extinguishing system of the new energy electric vehicle charging pile, the AI automatic fire extinguishing system further comprises: The cloud platform is configured to receive and store the monitoring data collected by the AI monitoring module, and recheck the fire monitoring result, including: The data storage unit is configured to store the monitoring data collected by the AI monitoring module in chronological order and according to the corresponding charging pile number. The artificial rechecking unit is configured to enable the administrator to obtain an alarm confirmation monitoring picture and manually confirm the fire occurrence state after receiving the fire alarm notification. The query export unit is configured to search, display, and export target monitoring data according to the input information of the authorized user.

[0015] Compared with the prior art, the present application has at least the following advantages: This invention utilizes an AI-powered multi-band composite flame detection device to capture and intelligently analyze characteristic data of flames in different bands. This enables real-time and precise monitoring of fire conditions in charging pile areas, significantly improving the accuracy and timeliness of fire detection. An intelligent control module generates targeted fire extinguishing commands based on the fire status, and the fire extinguishing execution module, upon receiving the command, prevents the fire from escalating due to continued power supply. Simultaneously, it precisely sprays lithium battery extinguishing agents towards the ignition point, greatly improving the efficiency of initial fire suppression and reducing the risk of fire spread. A high-decibel audible and visual alarm from the linkage alarm module promptly alerts on-site personnel to evacuate. Alarm notifications sent to remote terminals via the cloud platform (containing key information such as fire location and status) allow for rapid response from management personnel and fire departments, achieving coordination between on-site handling and remote support, further improving fire rescue efficiency. This invention focuses on precise monitoring and extinguishing of fires in key areas of charging piles within a small area, enabling emergency response to fires at new energy electric vehicle charging piles without human intervention. It effectively compensates for the lag in traditional fire extinguishing methods that rely on manual discovery and suppression, significantly improving the safety of new energy electric vehicle charging piles and reducing property damage and personal injury risks caused by fires. The dual action of automatic power-off and efficient fire extinguishing can minimize the damage of fire to charging pile equipment, vehicles and the surrounding environment, and reduce the risk of casualties.

[0016] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in this application.

[0017] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0018] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 A schematic diagram of an AI-powered automatic fire extinguishing system for a new energy electric vehicle charging station. Figure 2 A schematic diagram of the AI ​​monitoring module of an AI automatic fire extinguishing system for new energy electric vehicle charging piles; Figure 3 A schematic diagram of the intelligent control module of an AI automatic fire extinguishing system for new energy electric vehicle charging piles; Figure 4 A schematic diagram of the fire extinguishing execution module of an AI automatic fire extinguishing system for new energy electric vehicle charging piles; Figure 5This is a schematic diagram of the linkage alarm module of an AI automatic fire extinguishing system for new energy electric vehicle charging piles. Detailed Implementation

[0019] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0020] Example 1: This invention provides an AI-powered automatic fire suppression system for new energy electric vehicle charging piles, such as... Figure 1 As shown, it includes: The AI ​​monitoring module is used to collect real-time monitoring data of the current charging pile area using an AI multi-band composite flame detection device, and to determine whether a fire has occurred in the current charging pile area and to obtain fire status information. The intelligent control module is used to generate fire extinguishing control commands based on fire status information; The fire extinguishing execution module is used to automatically cut off the power supply of the current charging pile and spray the built-in lithium battery fire extinguishing agent to the fire point after receiving the fire extinguishing control command; The linkage alarm module is used to issue a high-decibel audible and visual alarm when a fire occurs, and to send alarm notifications to remote terminals via the cloud platform.

[0021] The beneficial effects of the above technical solution are as follows: This invention utilizes an AI multi-band composite flame detection device to capture and intelligently analyze characteristic data of flames in different bands. This enables real-time and accurate monitoring of fire conditions in charging pile areas, significantly improving the accuracy and timeliness of fire detection. The intelligent control module generates targeted fire extinguishing commands based on the fire status, and the fire extinguishing execution module, upon receiving the command, prevents the fire from escalating due to continuous power supply. Simultaneously, it precisely sprays lithium battery extinguishing agents towards the ignition point, greatly improving the efficiency of extinguishing initial fires and reducing the risk of fire spread. Furthermore, the high-decibel audible and visual alarms of the linkage alarm module promptly alert on-site personnel to evacuate. Alarm notifications sent to remote terminals via the cloud platform (containing key information such as fire location and status) allow for rapid response from management personnel and fire departments, achieving coordination between on-site handling and remote support, further improving fire rescue efficiency. This invention focuses on precise monitoring and extinguishing of fires in key areas of charging piles within a small area. It can complete emergency fire response for new energy electric vehicle charging piles without manual intervention, effectively compensating for the lag in traditional fire extinguishing methods that rely on manual discovery and suppression. This significantly improves the safety of new energy electric vehicle charging piles and reduces the risk of property damage and personal injury caused by fires. The dual action of automatic power-off and efficient fire extinguishing can minimize the damage of fire to charging pile equipment, vehicles and the surrounding environment, and reduce the risk of casualties.

[0022] Example 2: Based on Example 1, the AI ​​monitoring module, such as Figure 2 As shown, it includes: The real-time acquisition unit is used to acquire color-filtered image data or video data in the current charging pile area in real time using the AI ​​multi-band composite flame detection device, and generate monitoring data. The intelligent analysis unit is used to extract image features from the monitoring data, analyze and process the image features, and determine whether there is flame or smoke in the current charging pile area. If a flame is present in the current charging station area, it is determined that a fire has occurred in the current charging station area; If there is smoke in the current charging pile area, the monitoring data is sorted according to the time axis to generate a time series, and the direction of smoke dispersion is determined based on the time series; Based on the direction of the smoke dispersion, reverse reasoning is used to determine the source of the smoke, and it is determined whether the source of the smoke is within the current charging station area. If it is, then a fire has occurred in the current charging station area. The status analysis unit is used to determine the flame or smoke area based on image features when a fire is determined to exist in the current charging pile area, and to obtain the size of the flame or smoke area and the color depth of the area. Based on the size and color depth of the flame or smoke area, the fire's extent and intensity are determined, and fire status information is obtained and sent to the intelligent control module.

[0023] In this embodiment, the AI ​​multi-band composite flame detection device can quickly detect, confirm, and filter flames and smoke by using three different spectral sensors at the camera end, based on the spectral differences generated during sunlight, lamplight, and the combustion process of materials. Confirmation and filtering are performed using an infrared thermal imaging camera and an ultraviolet light detector.

[0024] The beneficial effects of the above technical solution are as follows: This invention uses an AI multi-band composite flame detection device to collect color-filtered images or video data through a real-time acquisition unit, providing high-quality raw monitoring data for subsequent analysis. This reduces the impact of interference factors such as ambient light and irrelevant objects on the monitoring results, ensuring the accuracy of monitoring from the data source. The intelligent analysis unit first determines the presence of flames or smoke based on image features. If flames are present, a fire can be directly identified, which is simple and efficient. If smoke is present, time-series analysis determines the direction of smoke dispersion and infers the source of the smoke, effectively identifying early, concealed fires. This effectively avoids blindly judging a fire based solely on the presence of smoke, minimizing misjudgments caused by smoke diffusion and significantly improving the accuracy of fire assessment. This is particularly suitable for scenarios like charging piles where smoke may appear first in the early stages of a fire. Furthermore, after confirming a fire, the state analysis unit obtains the size and color depth of the flame or smoke area based on image features, thereby determining the fire's scope and intensity. This provides a basis for the generation of fire extinguishing control commands by the intelligent control module, effectively ensuring that subsequent fire extinguishing measures are accurately implemented according to the actual fire situation, avoiding insufficient or excessive fire extinguishing. Example 3: Based on Example 1, the intelligent control module, such as Figure 3 As shown, it includes: The status analysis unit is used to analyze the fire status information to determine the location and size of the fire. The instruction generation unit is used to generate fire extinguishing control instructions based on the location and size of the fire and send them to the fire extinguishing execution module. After the AI ​​monitoring module detects that there is no fire or smoke in the current charging pile area, it generates a fire extinguishing completion command, sends it to the fire extinguishing execution module, and ends the spraying of the built-in lithium battery fire extinguishing agent.

[0025] The beneficial effects of the above technical solution are as follows: The present invention uses a state analysis unit to perform in-depth analysis of fire state information, accurately determining the location and size of the fire, providing a clear basis for generating fire extinguishing commands. Then, the command generation unit generates targeted fire extinguishing control commands based on key parameters contained in the fire state information, ensuring that the fire extinguishing execution module can accurately target the fire point and match the fire intensity appropriately, effectively avoiding the problem of fire extinguishing location deviation. Furthermore, after the AI ​​monitoring module confirms that the fire has been extinguished (no flames or smoke), the command generation unit promptly generates a fire extinguishing completion command, controlling the fire extinguishing execution module to stop the extinguishing agent spraying. This avoids the risk of fire reignition (ensuring complete extinguishing before stopping) and prevents ineffective waste of extinguishing agents, effectively reducing fire extinguishing costs. Simultaneously, timely cessation of spraying also reduces unnecessary residual effects of extinguishing agents on charging pile equipment, facilitating the maintenance and recovery of charging pile equipment after a fire.

[0026] Example 4: Based on Example 1, the fire extinguishing execution module, such as Figure 4 As shown, it includes: The power cut-off control unit is used to send a power interruption command to the charging pile power supply after receiving the fire extinguishing control command, and automatically cut off the power supply of the current charging pile. The aiming control unit is used to analyze the fire extinguishing control command, determine the location of the fire and the size of the fire, and adjust the aiming direction of the fire extinguisher built into the charging pile according to the location of the fire. The command execution unit is used to spray the built-in lithium battery extinguishing agent towards the fire point after the position adjustment is completed.

[0027] The beneficial effects of the above technical solution are as follows: Upon receiving a fire extinguishing control command, the power cut-off control unit immediately sends a power interruption command to the charging pile and automatically cuts off the power supply. This effectively avoids the problem of fire spreading due to continuous current action, effectively reducing the risk of electrical fires spreading to other components of the charging pile or surrounding vehicles, and improving fire extinguishing safety. Furthermore, after the quasi-control unit analyzes the fire extinguishing control command to clarify the location and size of the fire, it adjusts the aiming direction of the built-in fire extinguisher accordingly, effectively ensuring that the extinguishing agent can be directly sprayed onto the fire area. This adapts to the fire handling needs of different parts of the charging pile, effectively avoiding the problem of wasted extinguishing agent or incomplete fire extinguishing, thus significantly improving fire extinguishing efficiency. Moreover, the built-in lithium battery extinguishing agent sprayed by the command execution unit of this invention is specifically adapted to electrical fires and lithium battery-related fires that may occur in new energy electric vehicle charging piles. It has good insulation properties, avoiding the risk of electric shock during fire extinguishing. At the same time, its high-efficiency fire extinguishing performance can quickly extinguish fires without causing secondary damage to the electrical components of the charging pile. This reduces the cost and difficulty of equipment maintenance after a fire, while also ensuring both fire extinguishing effectiveness and equipment protection.

[0028] Example 5: Based on Example 1, the linkage alarm module, such as Figure 5 As shown, it includes: The audible and visual alarm unit is used to control the audible and visual alarm to emit a high-decibel sound and a warning light when a fire occurs; The remote alarm unit is used to send alarm notifications to remote terminals via a cloud platform, and if the fire continues to spread after a preset time for the built-in lithium battery fire extinguishing agent to be sprayed, it will send a fire notification to the coordinated fire protection unit.

[0029] The beneficial effects of the above technical solution are as follows: This invention rapidly activates the audible and visual alarm unit upon the occurrence of a fire, controlling the alarm to emit a high-decibel sound and a warning light. The high-decibel sound can quickly penetrate environmental noise, attracting the attention of nearby personnel; the warning light clearly indicates the location of the fire through a conspicuous visual signal. The combination of these two elements can immediately alert nearby personnel to stay away from dangerous areas, guiding orderly evacuation and effectively reducing the risk of injury to personnel at the fire scene, providing timely protection for their safety. Furthermore, the remote alarm unit utilizes a cloud platform to send alarm notifications to remote terminals, accurately transmitting specific fire information (e.g., charging pile location, initial fire status) to charging pile operators, vehicle owners, and other relevant personnel. This allows them to quickly grasp the fire situation and take appropriate measures, breaking down time and space limitations and achieving efficient fire information transmission and multi-party collaborative response, effectively improving the overall efficiency of fire response. Furthermore, if the fire continues to spread after the preset time for the built-in lithium battery extinguishing agent to be sprayed, the remote alarm unit automatically sends a fire notification to the linked fire department. This enables emergency rescue triggering for fires that may escalate, effectively ensuring that professional firefighting forces can intervene in a timely manner when the fire exceeds the system's autonomous firefighting capabilities. This achieves a seamless connection between autonomous firefighting and professional fire rescue, strengthening emergency rescue support for larger fires and significantly reducing potential fire losses. This invention combines the immediacy of on-site audible and visual alarms, the synergy of remote terminal alarms, and the professionalism of fire department alarms to construct a multi-layered, comprehensive alarm mechanism. It not only meets the fire warning needs in different scenarios but also ensures the effective transmission of fire information through other channels when a single alarm channel malfunctions, significantly improving the reliability of the entire fire extinguishing system in the alarm phase. Example 6: Based on Example 3, the state resolution unit includes: The time-series comparison subunit is used to generate a fire development time series based on the fire status information on the time axis, compare the fire size according to the fire development time series, and determine whether there is a risk of the fire spreading based on the comparison results. The associated interruption control subunit is used to generate an encrypted power-off command to adjacent charging piles when there is a risk of fire spreading. After receiving the encrypted power-off command, the adjacent charging piles decode the command according to the preset key and automatically cut off the power supply after successful decoding. The joint fire suppression subunit is used to determine the direction of fire spread when there is a risk of fire spreading. Based on the direction of fire spread, a critical fire extinguishing command is generated. When the fire spreads to the edge of the overlapping area monitored by the current charging pile and the adjacent charging pile, the critical fire extinguishing command is immediately triggered and sent to the adjacent charging pile in the direction of fire spread to spray the built-in lithium battery fire extinguishing agent in the direction of fire.

[0030] The beneficial effects of the above technical solution are as follows: This invention generates a fire development time sequence based on a time axis through a time-series comparison subunit. By comparing the fire size at different times, it determines whether there is a risk of fire spreading. This allows for the keen detection of fire trends and early identification of the possibility of fire spreading, buying valuable time for subsequent prevention and control measures and avoiding a passive response situation due to sudden fire expansion. When a fire spread risk is determined, the associated interruption control subunit generates an encrypted power-off command to adjacent charging piles. The adjacent charging piles automatically cut off their power after decoding with a preset key. The encrypted command transmission ensures the security and uniqueness of the power-off command, effectively avoiding misoperation or malicious interference. The timely power-off of adjacent devices eliminates the risk of fire transmission through power lines or adjacent devices becoming new ignition points due to being energized. This blocks the path of fire spread through electrical connections or adjacent devices from the source, effectively protecting the safety of surrounding charging piles and vehicles. When a fire poses a risk of spreading and its direction of spread is determined, a critical fire extinguishing command is generated by a joint fire extinguishing subunit. When the fire spreads to the edge of the overlapping monitoring area, adjacent charging piles are triggered to spray extinguishing agents in the direction of the fire. This achieves early prevention and precise interception of fire expansion. Utilizing the fire extinguishing resources of adjacent charging piles forms a collaborative protective barrier, effectively intercepting the fire before it spreads to adjacent equipment. This significantly reduces the probability of the fire spreading to surrounding areas and effectively improves the initiative and effectiveness of overall fire prevention and control for charging piles. This invention achieves accurate assessment of fire risks and cross-device collaborative response, not only enhancing the ability of individual charging piles to cope with fire spread but also improving the fire safety level of the entire charging pile cluster. It is particularly suitable for scenarios with densely packed charging piles, providing strong protection for the safe operation of new energy electric vehicle charging infrastructure.

[0031] Example 7: Based on Example 3, the alignment control unit includes: The location determination subunit is used to determine the number of fire points in the current charging pile area based on the analysis results of the fire extinguishing control command; When the number of ignition points is not 1, the ignition points are sorted according to the size of the fire to determine the ignition point with the largest fire intensity. The initial alignment point is the closest edge of the adjacent charging pile area to the fire point when the number of fire points is 1 or the fire point with the largest fire intensity. The direction adjustment subunit is used to obtain the target position coordinates of the initial alignment point and adjust the alignment direction of the fire extinguisher built into the charging pile based on the target position coordinates; The adaptive adjustment subunit is used to obtain the image symmetry edge coordinates and fire center coordinates of the ignition point or the ignition point with the largest fire intensity when the number of ignition points is 1. After the built-in lithium battery extinguishing agent begins to spray from the fire point, the extinguishing agent nozzle is controlled to rotate back and forth in the direction of the target position coordinates and the image symmetrical edge coordinates according to the adaptive rotation strategy until the maximum ignition point of the fire is extinguished. The target switching subunit is used to select the nearest fire point to the location determination subunit as the target fire point after the maximum fire point is extinguished, based on the principle of proximity, and send it to the location determination subunit to determine a new initial alignment point.

[0032] The beneficial effects of the above technical solution are as follows: This invention, through a location determination subunit, analyzes the number of fire points based on fire extinguishing control commands. When multiple fire points exist, they are sorted by fire intensity and the fire with the largest intensity is locked. This fire point, or a single fire point, is used as the initial alignment point along with the nearest edge of the adjacent charging pile area. This achieves core risk-oriented positioning, ensuring that the extinguishing agent prioritizes action on the most threatening fire point, minimizing delays in handling critical fires due to the dispersion of fire extinguishing resources, and significantly improving the targeting and priority control capabilities of fire extinguishing. Then, the direction adjustment subunit obtains the target position coordinates of the initial alignment point and precisely adjusts the alignment direction of the built-in fire extinguisher. By combining coordinate positioning and direction adjustment, the extinguishing agent nozzle can quickly and accurately aim at the target fire point, greatly reducing spray deviation, avoiding ineffective spraying of non-fired areas, and improving the initial action efficiency of the extinguishing agent. Then, through the adaptive adjustment subunit, during the extinguishing agent spraying process, the image symmetrical edge coordinates and fire center coordinates of the ignition point are obtained. The nozzle is controlled to rotate back and forth between the target position and the symmetrical edge according to the adaptive rotation strategy. This can effectively control the edge of the fire first, cut off the path of the fire to spread outward, and prevent the fire from spreading to the surrounding areas, thus creating favorable conditions for the subsequent concentrated extinguishing of the central core fire. Then, it gradually moves from the edge to the center of the fire, which effectively improves the thoroughness of the extinguishing and ensures that the core fire source is effectively extinguished. After the central fire is suppressed, it turns to the edge area again, which can ensure that all areas of the maximum ignition point of the fire are fully covered. It completely eliminates the extinguishing dead zones that may exist in fixed-direction spraying, and is especially suitable for complex fire situations where the shape changes during the spread of the fire. Finally, after the maximum ignition point of the fire is extinguished, the target switching subunit automatically selects the nearest ignition point as the new target based on the principle of proximity, triggering a new round of alignment process. This provides a basis for fire handling in scenarios with multiple ignition points, effectively avoids missing fires, achieves comprehensive extinguishing of fires in the charging pile area, and further improves the fire extinguishing reliability of the system. Example 8: Based on Embodiment 7, the alignment control unit further includes: The rotation speed control subunit is used to extract features from the time series of the fire-aligned point to obtain multiple fire sub-features; Based on the fire sub-features and their corresponding correlations, a feature correlation matrix is ​​generated, and the maximum eigenvalue corresponding to the feature evidence is obtained. Based on the maximum eigenvalue, the overall danger level of the target ignition point is determined. Based on the overall danger level, a selection is made from preset speed change strategies to obtain the appropriate rotation strategy for the target ignition point. Based on the adaptive rotation strategy, the speed parameter changes of the extinguishing agent nozzle during the reciprocating process are determined, and corresponding rotation control commands are generated and sent to the extinguishing agent nozzle control module.

[0033] In this embodiment, the preset speed variation strategy is a set of rules and schemes for adjusting the rotation speed of the extinguishing agent nozzle, pre-defined to adapt to different fire characteristics and firefighting needs. It is based on extensive fire scenario data and practical firefighting experience, and covers multiple speed adjustment modes. For example, for fires with intense intensity and high danger, the preset strategy includes a high-speed rotation mode, which increases the density of extinguishing agent sprayed per unit time by accelerating the reciprocating rotation speed of the nozzle in the target area, quickly suppressing the fire. For fires with slower spread and smaller areas, the preset strategy may include a medium-low speed rotation mode, reducing extinguishing agent consumption while ensuring firefighting effectiveness. For fires in the spreading stage with constantly changing morphology, the preset strategy also includes a dynamic speed-changing mode, adjusting the rotation speed in real time according to the fire's expansion speed to ensure that firefighting coverage is synchronized with changes in fire intensity. This allows the system to quickly match the appropriate rotation speed adjustment method when facing different fire situations, thereby greatly improving firefighting efficiency and accuracy.

[0034] The beneficial effects of the above technical solution are as follows: This invention extracts features from the time series of the fire point by using a rotation speed control subunit, obtaining multiple fire sub-features. Then, based on the feature correlation matrix and the maximum eigenvalue, it determines the comprehensive hazard level, accurately assessing the hazard level of the fire point. Subsequently, it selects an appropriate rotation strategy from preset speed change strategies, matching the rotation speed of the extinguishing agent nozzle with the fire hazard level. For high-hazard fire points, a more efficient rotation speed is used, enhancing the targeted nature of fire suppression. Then, based on the adapted rotation strategy, it determines the speed parameter changes of the extinguishing agent nozzle during the reciprocating process and generates rotation control commands, sending them to the nozzle control module. This means the nozzle rotation speed is no longer a fixed value but can be dynamically adjusted in real time according to the fire situation. In areas with intense fires, the rotation speed is increased to enhance the extinguishing agent coverage density, while in areas with weaker fires, the speed is appropriately adjusted to reduce resource waste. Dynamic speed adjustment further improves fire suppression efficiency. This invention selects an appropriate rotation strategy based on a comprehensive hazard assessment, which avoids excessive consumption of extinguishing agent caused by indiscriminate high-speed rotation of the nozzle. It concentrates more extinguishing agent and spray energy in high-hazard fire areas, reducing ineffective consumption of extinguishing agent while ensuring fire extinguishing effectiveness, thus optimizing resource utilization and reducing fire extinguishing costs.

[0035] Example 9: Based on Example 1, an AI-based automatic fire extinguishing system for new energy electric vehicle charging piles further includes: The cloud platform is used to receive and store monitoring data collected by the AI ​​monitoring module, and to review the fire monitoring results, including: The data storage unit is used to store the monitoring data collected by the AI ​​monitoring module in chronological order and according to the corresponding charging pile number; The manual re-inspection unit is used by managers to manually confirm the fire status by obtaining the alarm confirmation monitoring screen after receiving a fire alarm notification. The query and export unit is used to retrieve target monitoring data based on the input information of relevant authorized users, and then display and export the data.

[0036] The beneficial effects of the above technical solution are as follows: This invention stores monitoring data in chronological order and according to the corresponding charging pile number through a data storage unit, establishing a systematic monitoring data archive. This not only ensures the complete preservation of monitoring data but also links each data point to a specific time and charging pile, providing a reliable data foundation for subsequent fire analysis, system optimization, and accident tracing. It also facilitates management personnel in reviewing monitoring data for different time periods and charging piles at any time. Furthermore, the manual review unit allows management personnel to obtain alarm confirmation monitoring footage and manually confirm the fire status after receiving a fire alarm notification. This effectively compensates for potential misjudgments by AI-automated monitoring, allowing for further verification of the fire situation through professional human judgment. This avoids unnecessary emergency responses and resource waste caused by system false alarms, while also ensuring timely and accurate confirmation and handling of real fires, thus improving the reliability of fire alarms. The query and export unit allows for retrieval based on input information from authorized users, quickly obtaining target monitoring data and supporting display and export. Authorized management personnel can perform precise queries based on actual needs, such as monitoring data for specific time periods or specific charging piles, facilitating analysis of charging pile operating status and fire occurrence patterns. The data export function facilitates the use of monitoring data for offline analysis, report generation, and other tasks, providing data support for system maintenance and upgrades, and optimization of fire safety management strategies, thereby improving the system's management efficiency and scientific rigor. This invention centralizes the management of dispersed charging pile monitoring data through a cloud platform, achieving unified data storage, review, and retrieval. This breaks down the data silos of individual charging piles, enabling managers to comprehensively grasp the fire safety status of the entire charging pile network. This provides the possibility for developing a holistic fire safety strategy and further enhances the intelligent management level of the entire automatic fire suppression system.

[0037] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. An AI-powered automatic fire extinguishing system for new energy electric vehicle charging piles, characterized in that, include: The AI ​​monitoring module is used to collect real-time monitoring data of the current charging pile area using an AI multi-band composite flame detection device, and to determine whether a fire has occurred in the current charging pile area and to obtain fire status information. The intelligent control module is used to generate fire extinguishing control commands based on fire status information; The fire extinguishing execution module is used to automatically cut off the power supply of the current charging pile and spray the built-in lithium battery fire extinguishing agent to the fire point after receiving the fire extinguishing control command; The linkage alarm module is used to issue a high-decibel audible and visual alarm when a fire occurs, and to send alarm notifications to remote terminals via the cloud platform.

2. The AI ​​automatic fire extinguishing system for new energy electric vehicle charging piles according to claim 1, characterized in that, The AI ​​monitoring module includes: The real-time acquisition unit is used to acquire color-filtered image data or video data in the current charging pile area in real time using the AI ​​multi-band composite flame detection device, and generate monitoring data. The intelligent analysis unit is used to extract image features from the monitoring data, analyze and process the image features, and determine whether there is flame or smoke in the current charging pile area. If a flame is present in the current charging station area, it is determined that a fire has occurred in the current charging station area; If there is smoke in the current charging pile area, the monitoring data is sorted according to the time axis to generate a time series, and the direction of smoke dispersion is determined based on the time series; Based on the direction of the smoke dispersion, reverse reasoning is used to determine the source of the smoke, and it is determined whether the source of the smoke is within the current charging station area. If it is, then a fire has occurred in the current charging station area. The status analysis unit is used to determine the flame or smoke area based on image features when a fire is determined to exist in the current charging pile area, and to obtain the size of the flame or smoke area and the color depth of the area. Based on the size and color depth of the flame or smoke area, the fire's extent and intensity are determined, and fire status information is obtained and sent to the intelligent control module.

3. The AI ​​automatic fire extinguishing system for new energy electric vehicle charging piles according to claim 1, characterized in that, The intelligent control module includes: The status analysis unit is used to analyze the fire status information to determine the location and size of the fire. The instruction generation unit is used to generate fire extinguishing control instructions based on the location and size of the fire and send them to the fire extinguishing execution module.

4. The AI ​​automatic fire extinguishing system for new energy electric vehicle charging piles according to claim 3, characterized in that: The instruction generation unit is also used to generate a fire extinguishing completion instruction after the AI ​​monitoring module detects that there is no fire or smoke in the current charging pile area, and send it to the fire extinguishing execution module to end the spraying of the built-in lithium battery fire extinguishing agent.

5. The AI ​​automatic fire extinguishing system for new energy electric vehicle charging piles according to claim 1, characterized in that, The fire suppression execution module includes: The power cut-off control unit is used to send a power interruption command to the charging pile power supply after receiving the fire extinguishing control command, and automatically cut off the power supply of the current charging pile. The aiming control unit is used to analyze the fire extinguishing control command, determine the location of the fire and the size of the fire, and adjust the aiming direction of the fire extinguisher built into the charging pile according to the location of the fire. The command execution unit is used to spray the built-in lithium battery extinguishing agent towards the fire point after the position adjustment is completed.

6. The AI ​​automatic fire extinguishing system for new energy electric vehicle charging piles according to claim 1, characterized in that, The linkage alarm module includes: The audible and visual alarm unit is used to control the audible and visual alarm to emit a high-decibel sound and a warning light when a fire occurs; The remote alarm unit is used to send alarm notifications to remote terminals via a cloud platform, and if the fire continues to spread after a preset time for the built-in lithium battery fire extinguishing agent to be sprayed, it will send a fire notification to the coordinated fire protection unit.

7. The AI ​​automatic fire extinguishing system for new energy electric vehicle charging piles according to claim 3, characterized in that, The state resolution unit includes: The time-series comparison subunit is used to generate a fire development time series based on the fire status information on the time axis, compare the fire size according to the fire development time series, and determine whether there is a risk of the fire spreading based on the comparison results. The associated interruption control subunit is used to generate an encrypted power-off command to adjacent charging piles when there is a risk of fire spreading. After receiving the encrypted power-off command, the adjacent charging piles decode the command according to the preset key and automatically cut off the power supply after successful decoding. The joint fire suppression subunit is used to determine the direction of fire spread when there is a risk of fire spreading. Based on the direction of fire spread, a critical fire extinguishing command is generated. When the fire spreads to the edge of the overlapping area monitored by the current charging pile and the adjacent charging pile, the critical fire extinguishing command is immediately triggered and sent to the adjacent charging pile in the direction of fire spread to spray the built-in lithium battery fire extinguishing agent in the direction of fire.

8. The AI ​​automatic fire extinguishing system for new energy electric vehicle charging piles according to claim 4, characterized in that, Alignment control unit, including: The location determination subunit is used to determine the number of fire points in the current charging pile area based on the analysis results of the fire extinguishing control command; When the number of ignition points is not 1, the ignition points are sorted according to the size of the fire to determine the ignition point with the largest fire intensity. The initial alignment point is the closest edge of the adjacent charging pile area to the fire point when the number of fire points is 1 or the fire point with the largest fire intensity. The direction adjustment subunit is used to obtain the target position coordinates of the initial alignment point and adjust the alignment direction of the fire extinguisher built into the charging pile based on the target position coordinates; The adaptive adjustment subunit is used to obtain the image symmetry edge coordinates and fire center coordinates of the ignition point or the ignition point with the largest fire intensity when the number of ignition points is 1. After the built-in lithium battery extinguishing agent begins to spray from the fire point, the extinguishing agent nozzle is controlled to rotate back and forth in the direction of the target position coordinates and the image symmetrical edge coordinates according to the adaptive rotation strategy until the maximum ignition point of the fire is extinguished. The target switching subunit is used to select the nearest fire point to the location determination subunit as the target fire point after the maximum fire point is extinguished, based on the principle of proximity, and send it to the location determination subunit to determine a new initial alignment point.

9. The AI ​​automatic fire extinguishing system for new energy electric vehicle charging piles according to claim 8, characterized in that, The alignment control unit also includes: The rotation speed control subunit is used to extract features from the time series of the fire-aligned point to obtain multiple fire sub-features; Based on the fire sub-features and their corresponding correlations, a feature correlation matrix is ​​generated, and the maximum eigenvalue corresponding to the feature evidence is obtained. Based on the maximum eigenvalue, the overall danger level of the target ignition point is determined. Based on the overall danger level, a selection is made from preset speed change strategies to obtain the appropriate rotation strategy for the target ignition point. Based on the adaptive rotation strategy, the speed parameter changes of the extinguishing agent nozzle during the reciprocating process are determined, and corresponding rotation control commands are generated and sent to the extinguishing agent nozzle control module.

10. The AI ​​automatic fire extinguishing system for new energy electric vehicle charging piles according to claim 1, characterized in that, Also includes: The cloud platform is used to receive and store monitoring data collected by the AI ​​monitoring module, and to review the fire monitoring results, including: The data storage unit is used to store the monitoring data collected by the AI ​​monitoring module in chronological order and according to the corresponding charging pile number; The manual re-inspection unit is used by managers to manually confirm the fire status by obtaining the alarm confirmation monitoring screen after receiving a fire alarm notification. The query and export unit is used to retrieve target monitoring data based on the input information of relevant authorized users, and then display and export the data.

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