Vehicle battery pack time-sharing monitoring method and system for cabin scene

Abstract

The invention provides a vehicle battery pack time-sharing monitoring method and system for a cabin scene, and the method comprises the steps: analyzing the thermal infrared induction dynamic data of all vehicle battery pack storage regions in a cabin, obtaining the heat distribution feature information of each battery pack storage region, analyzing the air pressure data of all vehicle battery pack storage regions in the cabin, and obtaining the heat distribution feature information of each battery pack storage region; obtaining airflow relation characteristic information among all the vehicle battery pack storage areas; based on the heat distribution characteristic information and the airflow relation characteristic information, time-sharing monitoring time domain attribute information of all the vehicle battery pack storage areas is determined, time-sharing shooting is carried out on each vehicle battery pack storage area, and corresponding area field images are obtained; in addition, the area field image is analyzed to obtain the current situation characteristic information of the battery, so that the abnormal position point of the vehicle battery pack storage area is determined, the fireproof treatment state of the vehicle battery pack storage area is adjusted, and the monitoring efficiency and reliability of the vehicle battery pack in the cabin scene are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of ship cabin fire control, and particularly to a method and system for time-sharing monitoring of vehicle battery packs in a ship cabin scenario. BACKGROUND

[0002] Electric vehicles have become the main direction of automobile development, and the electric vehicle industry chain in China has developed perfectly. In particular, the quality and price of electric vehicle battery packs have a great market competitive advantage, making China become the main exporting country of electric vehicle battery packs. Electric vehicle battery packs need to be transported by ocean freighters to different regions. During the transportation process, electric vehicle battery packs are in a relatively closed environment for a long time, and electric vehicle battery packs are particularly sensitive to changes in external environmental factors, making electric vehicle battery packs prone to swelling or even explosion and fire accidents during long-distance transportation. Therefore, all electric vehicle battery packs stored in the ship cabin need to be monitored. However, the number of all electric vehicle battery packs stored in the ship cabin is huge. If visual recognition monitoring is performed on all electric vehicle battery packs at the same time, a large storage space and computing resource support are required, increasing the manpower and material resources consumption for monitoring electric vehicle battery packs in the ship cabin scenario. In order to reduce the manpower and material resources consumption for monitoring electric vehicle battery packs in the ship cabin scenario, time-sharing monitoring can be performed according to different storage areas of electric vehicle battery packs in the ship cabin, so as to specifically monitor each electric vehicle battery pack storage area during the time period when the explosion or fire may occur, thereby improving the monitoring efficiency and reliability of electric vehicle battery packs in the ship cabin scenario. SUMMARY

[0003] The purpose of the present application is to provide a method and system for time-sharing monitoring of vehicle battery packs in a ship cabin scenario. The thermal infrared sensing dynamic data of all vehicle battery pack storage areas in the ship cabin is analyzed to obtain the heat distribution characteristic information of each battery pack storage area. The air pressure data of all vehicle battery pack storage areas in the ship cabin is analyzed to obtain the airflow relationship characteristic information between all vehicle battery pack storage areas, providing reliable and comprehensive data support for subsequent determination of the transmission and flow of heat between different storage areas. Based on the heat distribution characteristic information and the airflow relationship characteristic information, the time-sharing monitoring time domain attribute information of all vehicle battery pack storage areas is determined, so as to perform time-sharing shooting on each vehicle battery pack storage area to obtain the corresponding regional field image. Special monitoring is performed during the time period when the explosion or fire may occur in each storage area, thereby reducing the workload and data processing amount of visual monitoring. The regional field image is also analyzed to obtain battery status characteristic information, so as to determine the abnormal position point of the vehicle battery pack storage area and adjust the fire prevention treatment state of the vehicle battery pack storage area, thereby predictively reducing the probability of fire of the battery pack and improving the monitoring efficiency and reliability of the vehicle battery pack in the ship cabin scenario.

[0004] This invention is achieved through the following technical solution: A time-sharing monitoring method for automotive battery packs used in ship cabin scenarios includes: The system acquires thermal infrared sensing dynamic data for each of the vehicle battery pack storage areas inside the cabin, analyzes the thermal infrared sensing dynamic data to obtain heat distribution characteristic information for each vehicle battery pack storage area; it also acquires air pressure data for all vehicle battery pack storage areas inside the cabin, analyzes the air pressure data to obtain airflow relationship characteristic information between all vehicle battery pack storage areas. Based on the heat distribution characteristic information and the airflow relationship characteristic information, the time-domain attribute information for time-sharing monitoring of all vehicle battery pack storage areas is determined; based on the time-sharing monitoring time-domain attribute information, time-sharing images are taken of each vehicle battery pack storage area to obtain the corresponding on-site images of the area; The on-site images of the area are analyzed to obtain the current status characteristics of the batteries in the vehicle battery pack storage area; based on the current status characteristics of the batteries, abnormal location points in the vehicle battery pack storage area are determined; and based on the distribution location information of all abnormal location points, the fire prevention treatment status of the vehicle battery pack storage area is adjusted.

[0005] Optionally, thermal infrared sensing dynamic data of each vehicle battery pack storage area inside the cabin is acquired, and the thermal infrared sensing dynamic data is analyzed to obtain heat distribution characteristic information of each vehicle battery pack storage area; air pressure data of all vehicle battery pack storage areas inside the cabin is acquired, and the air pressure data is analyzed to obtain airflow relationship characteristic information between all vehicle battery pack storage areas, including: Thermal infrared dynamic imaging was performed on all vehicle battery pack storage areas inside the ship's cabin to obtain thermal infrared dynamic image data for each vehicle battery pack storage area; the thermal infrared dynamic image data was analyzed to obtain heat distribution characteristic information for each vehicle battery pack storage area; wherein, the heat distribution characteristic information includes the relationship information between the heat distribution of the global range under each vehicle battery pack storage area and the corresponding location points. Air pressure is measured in all vehicle battery pack storage areas inside the cabin to obtain air pressure data for each area. Based on the relative positions of all vehicle battery pack storage areas and their air pressure data, airflow relationship characteristic information between all vehicle battery pack storage areas is obtained. The airflow relationship characteristic information includes airflow path information between all vehicle battery pack storage areas.

[0006] Optionally, thermal infrared dynamic imaging is performed on all vehicle battery pack storage areas inside the ship's cabin, including: Real-time monitoring of power consumption data in the ship's cabins; Real-time monitoring of the current ambient temperature and humidity in the ship's cabin; The dynamic shooting time interval adjustment coefficient is obtained by combining the power consumption data of the monitoring cabin with the ambient temperature and humidity. The dynamic shooting time interval adjustment coefficient is obtained by the following formula: ; Where K represents the dynamic shooting time interval adjustment coefficient; E represents the current power consumption data of the cabin; E max This represents the maximum permissible functional energy consumption for power supply in the ship's cabin; W represents the current ambient humidity in the cabin; T represents the current ambient temperature in the cabin; T ref Indicates the preset temperature reference value; W max This indicates the maximum humidity value allowed under the preset optimal operating conditions of the ship's cabin; s 01 Indicates the preset environmental humidity influence factor; s 02 This indicates the preset ambient temperature influence factor; Extract the preset initial shooting time interval; The dynamic shooting time interval adjustment coefficient is compared with a preset adjustment coefficient threshold. When the dynamic shooting time interval adjustment coefficient is lower than the preset adjustment coefficient threshold, the preset initial shooting time interval is used as the shooting time interval for thermal infrared dynamic shooting. When the dynamic shooting time interval adjustment coefficient is not lower than the preset adjustment coefficient threshold, the preset initial shooting time interval is adjusted using the dynamic shooting time interval adjustment coefficient, and the adjusted shooting time interval is used as the shooting time interval for thermal infrared dynamic shooting; wherein, the adjusted shooting time interval is obtained by the following formula: ; Among them, T sg Indicates the adjusted shooting time interval; T s0 K represents the preset initial shooting time interval; K represents the dynamic shooting time interval adjustment coefficient; K y This represents the preset adjustment coefficient threshold; P t P represents the maximum ratio of temperature change amplitude during the temperature change process in the ship's cabin; w This indicates the maximum percentage of humidity change that occurs during the humidity variation process in the ship's cabin.

[0007] Optionally, based on the heat distribution characteristic information and the airflow relationship characteristic information, time-domain attribute information for time-sharing monitoring of all vehicle battery pack storage areas is determined; based on the time-sharing monitoring time-domain attribute information, time-sharing images are taken of each vehicle battery pack storage area to obtain corresponding on-site images of the area, including: Based on the heat distribution characteristic information, which includes the relationship between the global heat distribution and corresponding location points under each vehicle battery pack storage area, and the airflow relationship characteristic information, which includes the airflow path information between all vehicle battery pack storage areas, the heat flow sequence information in all vehicle battery pack storage areas is determined; based on the flow sequence information and the spatial size of all vehicle battery pack storage areas, the time-domain attribute information for time-division monitoring of all vehicle battery pack storage areas is determined. Based on the time-domain attribute information of the time-division monitoring, each vehicle battery pack storage area is scanned and photographed in a time-division manner to obtain the corresponding on-site image of each vehicle battery pack storage area within the corresponding time interval.

[0008] Optionally, the on-site images of the area are analyzed to obtain the battery status characteristic information of the vehicle battery pack storage area; based on the battery status characteristic information, abnormal location points in the vehicle battery pack storage area are determined; and based on the distribution location information of all abnormal location points, the fire prevention treatment status of the vehicle battery pack storage area is adjusted, including: Pixel contour recognition is performed on the on-site image of the area to obtain the characteristic information of the battery shape contour change in the vehicle battery pack storage area; based on the characteristic information of the battery shape contour change, the vehicle battery pack that has expanded inside the vehicle battery pack storage area is identified, and the location point of the expanded vehicle battery pack is determined as the abnormal location point of the vehicle battery pack storage area. Based on the distribution information of all abnormal locations within the vehicle battery pack storage area, the fire source area within the vehicle battery pack storage area is determined; based on the external dimensions of the fire source area and the placement status information of vehicle battery packs in adjacent areas surrounding the fire source area, the fire extinguishing foam spraying treatment status of the fire source area is adjusted.

[0009] To improve firefighting efficiency and minimize economic losses during fire response, the following algorithm is used to ensure accurate spraying of firefighting foam onto battery packs located in the fire source area and its adjacent areas when adjusting the foam spraying process: Step 1: Let the length of the fire source area be l and the width be w. Then the fire extinguishing radius that the fire extinguishing foam needs to cover is: ; in d represents the fire extinguishing radius that the fire-extinguishing foam needs to cover; d is the minimum distance between the vehicle battery pack in the adjacent area and the edge of the fire source area; and A is the horizontal projected area of ​​the adjacent battery pack. The formula represents the area of ​​fire spread per unit time for this type of battery pack after ignition, where U is the wind speed, e is the natural constant (taken as 2.71), t is the duration of the fire, and k is the spread coefficient of this type of battery pack under the influence of wind after ignition. This formula, when determining the required fire extinguishing radius for the fire-extinguishing foam, takes into account the distance between the battery packs in adjacent areas and the edge of the fire source area, as well as the external dimensions of the fire source area. It also considers the placement of battery packs in adjacent areas and the influence of wind speed on fire spread, flexibly adjusting the fire extinguishing radius to avoid ineffective fire extinguishing due to an insufficiently small radius, while also avoiding wasted time and reduced fire extinguishing efficiency due to an excessively large radius.

[0010] Step 2: Let D be the horizontal distance from the center point of the fire source area to the sprayer. Then, to ensure the fire extinguishing foam can be accurately sprayed onto the battery packs placed in the fire source area and its adjacent surrounding areas, the angle between the sprayer and the horizontal plane is: ; in The angle between the injector and the horizontal plane.

[0011] Step 3: Let the mass of the extinguishing foam be m. Based on the angle between the nozzle and the horizontal plane obtained in Step 2, the optimal spray force of the nozzle is: ; in The optimal spray force of the sprayer is given by , and g is the acceleration due to gravity. By adjusting the sprayer based on the angle between the sprayer and the horizontal plane and the optimal spray force, the fire extinguishing foam can be accurately sprayed onto the battery packs placed in the fire source area and its adjacent surrounding areas, maximizing fire extinguishing efficiency.

[0012] This algorithm accurately determines the extinguishing radius that the fire-extinguishing foam needs to cover and the angle between the sprayer and the horizontal plane based on the external dimensions of the fire source area, the distance of the battery packs in the surrounding areas from the edge of the fire source area, and the horizontal distance of the sprayer from the center point of the fire source area. It also considers the placement information of the battery packs in the adjacent areas and the influence of wind speed on the spread of the fire. At the same time, it determines the optimal spraying force of the sprayer based on the mass of the fire-extinguishing foam and the angle between the sprayer and the horizontal plane, ensuring that the fire-extinguishing foam can be accurately sprayed to the fire source area and the battery packs placed in the surrounding areas, thereby maximizing the fire extinguishing efficiency.

[0013] A time-sharing monitoring system for automotive battery packs used in ship cabin scenarios includes: The thermal infrared sensing analysis module is used to acquire the thermal infrared sensing dynamic data of each of the vehicle battery pack storage areas inside the cabin, and to analyze the thermal infrared sensing dynamic data to obtain the heat distribution characteristic information of each vehicle battery pack storage area. The air pressure detection and analysis module is used to acquire air pressure data of all vehicle battery pack storage areas inside the cabin, analyze the air pressure data, and obtain the airflow relationship characteristic information between all vehicle battery pack storage areas. The time-sharing monitoring status determination module is used to determine the time-sharing monitoring time-domain attribute information of all vehicle battery pack storage areas based on the heat distribution characteristic information and the airflow relationship characteristic information. The time-sharing shooting control module is used to shoot each vehicle battery pack storage area in a time-sharing manner based on the time-sharing monitoring time-domain attribute information to obtain the corresponding area on-site image; An anomaly location point determination module is used to analyze the on-site images of the area to obtain the battery status characteristic information of the vehicle battery pack storage area; and to determine the anomaly location points of the vehicle battery pack storage area based on the battery status characteristic information. The fire protection treatment adjustment module is used to adjust the fire protection treatment status of the vehicle battery pack storage area based on the distribution location information of all the abnormal location points.

[0014] Optionally, the thermal infrared sensing analysis module is used to acquire thermal infrared sensing dynamic data for each of the vehicle battery pack storage areas inside the ship's cabin, and analyze the thermal infrared sensing dynamic data to obtain heat distribution characteristic information for each vehicle battery pack storage area, including: Thermal infrared dynamic imaging was performed on all vehicle battery pack storage areas inside the ship's cabin to obtain thermal infrared dynamic image data for each vehicle battery pack storage area; the thermal infrared dynamic image data was analyzed to obtain heat distribution characteristic information for each vehicle battery pack storage area; wherein, the heat distribution characteristic information includes the relationship information between the heat distribution of the global range under each vehicle battery pack storage area and the corresponding location points. The air pressure detection and analysis module is used to acquire air pressure data of all vehicle battery pack storage areas inside the cabin, analyze the air pressure data, and obtain airflow relationship characteristic information between all vehicle battery pack storage areas, including: Air pressure is measured in all vehicle battery pack storage areas inside the cabin to obtain air pressure data for each area. Based on the relative positions of all vehicle battery pack storage areas and their air pressure data, airflow relationship characteristic information between all vehicle battery pack storage areas is obtained. The airflow relationship characteristic information includes airflow path information between all vehicle battery pack storage areas.

[0015] Optionally, thermal infrared dynamic imaging is performed on all vehicle battery pack storage areas inside the ship's cabin, including: Real-time monitoring of power consumption data in the ship's cabins; Real-time monitoring of the current ambient temperature and humidity in the ship's cabin; The dynamic shooting time interval adjustment coefficient is obtained by combining the power consumption data of the monitoring cabin with the ambient temperature and humidity. The dynamic shooting time interval adjustment coefficient is obtained by the following formula: ; Where K represents the dynamic shooting time interval adjustment coefficient; E represents the current power consumption data of the cabin; E max This represents the maximum permissible functional energy consumption for power supply in the ship's cabin; W represents the current ambient humidity in the cabin; T represents the current ambient temperature in the cabin; T ref Indicates the preset temperature reference value; W max This indicates the maximum humidity value allowed under the preset optimal operating conditions of the ship's cabin; s 01 Indicates the preset environmental humidity influence factor; s 02 This indicates the preset ambient temperature influence factor; Extract the preset initial shooting time interval; The dynamic shooting time interval adjustment coefficient is compared with a preset adjustment coefficient threshold. When the dynamic shooting time interval adjustment coefficient is lower than the preset adjustment coefficient threshold, the preset initial shooting time interval is used as the shooting time interval for thermal infrared dynamic shooting. When the dynamic shooting time interval adjustment coefficient is not lower than the preset adjustment coefficient threshold, the preset initial shooting time interval is adjusted using the dynamic shooting time interval adjustment coefficient, and the adjusted shooting time interval is used as the shooting time interval for thermal infrared dynamic shooting; wherein, the adjusted shooting time interval is obtained by the following formula: ; Among them, T sg Indicates the adjusted shooting time interval; T s0 K represents the preset initial shooting time interval; K represents the dynamic shooting time interval adjustment coefficient; K y This represents the preset adjustment coefficient threshold; P t P represents the maximum ratio of temperature change amplitude during the temperature change process in the ship's cabin; w This indicates the maximum percentage of humidity change that occurs during the humidity variation process in the ship's cabin.

[0016] Optionally, the time-sharing monitoring status determination module is used to determine the time-sharing monitoring time-domain attribute information for all vehicle battery pack storage areas based on the heat distribution characteristic information and the airflow relationship characteristic information, including: Based on the heat distribution characteristic information, which includes the relationship between the global heat distribution and corresponding location points under each vehicle battery pack storage area, and the airflow relationship characteristic information, which includes the airflow path information between all vehicle battery pack storage areas, the heat flow sequence information in all vehicle battery pack storage areas is determined; based on the flow sequence information and the spatial size of all vehicle battery pack storage areas, the time-domain attribute information for time-division monitoring of all vehicle battery pack storage areas is determined. The time-sharing shooting control module is used to perform time-sharing shooting of each vehicle battery pack storage area based on the time-sharing monitoring time-domain attribute information, to obtain corresponding on-site images of the area, including: Based on the time-domain attribute information of the time-division monitoring, each vehicle battery pack storage area is scanned and photographed in a time-division manner to obtain the corresponding on-site image of each vehicle battery pack storage area within the corresponding time interval.

[0017] Optionally, the abnormal location point determination module is used to analyze the on-site image of the area to obtain the battery status characteristic information of the vehicle battery pack storage area; based on the battery status characteristic information, it determines the abnormal location points of the vehicle battery pack storage area, including: Pixel contour recognition is performed on the on-site image of the area to obtain the characteristic information of the battery shape contour change in the vehicle battery pack storage area; based on the characteristic information of the battery shape contour change, the vehicle battery pack that has expanded inside the vehicle battery pack storage area is identified, and the location point of the expanded vehicle battery pack is determined as the abnormal location point of the vehicle battery pack storage area. The fire protection adjustment module is used to adjust the fire protection status of the vehicle battery pack storage area based on the distribution location information of all abnormal location points, including: Based on the distribution information of all abnormal locations within the vehicle battery pack storage area, the fire source area within the vehicle battery pack storage area is determined; based on the external dimensions of the fire source area and the placement status information of vehicle battery packs in adjacent areas surrounding the fire source area, the fire extinguishing foam spraying treatment status of the fire source area is adjusted.

[0018] Compared with the prior art, the present invention has the following beneficial effects: This application provides a time-sharing monitoring method and system for automotive battery packs in a ship cabin scenario. It analyzes the dynamic thermal infrared sensing data of each automotive battery pack storage area within the ship cabin to obtain heat distribution characteristics for each area. It also analyzes the air pressure data of all automotive battery pack storage areas to obtain airflow relationship characteristics between them, providing reliable and comprehensive data support for subsequently determining the heat transfer and flow between different storage areas. Based on the heat distribution and airflow relationship characteristics, it determines the time-domain attribute information for time-sharing monitoring of all automotive battery pack storage areas. This allows for time-sharing image capture of each area, obtaining corresponding on-site images. Specialized monitoring is conducted during periods when explosions or fires are possible in each storage area, reducing the workload of visual monitoring and data processing. Furthermore, it analyzes the on-site images to obtain battery status characteristics, thereby identifying abnormal locations in the automotive battery pack storage areas and adjusting fire prevention measures accordingly. This proactively reduces the probability of battery pack fires and improves the efficiency and reliability of automotive battery pack monitoring in ship cabin scenarios. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein: Figure 1 This is a flowchart illustrating the time-sharing monitoring method for vehicle battery packs used in ship cabin scenarios provided by the present invention.

[0020] Figure 2 This is a schematic diagram of the structure of the vehicle battery pack time-sharing monitoring system for ship cabin scenarios provided by the present invention. Detailed Implementation

[0021] To make the above-mentioned objectives, features, and advantages of this application more apparent and understandable, the specific embodiments of this application will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, it should be noted that, for ease of description, only the parts relevant to this application are shown in the accompanying drawings, not the entire structure. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without inventive effort are within the scope of protection of this application.

[0022] The terms “comprising” and “having”, and any variations thereof, used in this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the steps or units listed, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus.

[0023] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0024] Please see Figure 1 As shown, an embodiment of this application provides a time-sharing monitoring method for vehicle battery packs in a ship cabin scenario. This time-sharing monitoring method for vehicle battery packs in a ship cabin scenario includes: The thermal infrared sensing dynamic data of each vehicle battery pack storage area inside the cabin is obtained, and the thermal infrared sensing dynamic data is analyzed to obtain the heat distribution characteristics of each vehicle battery pack storage area; the air pressure data of each vehicle battery pack storage area inside the cabin is obtained, and the air pressure data is analyzed to obtain the airflow relationship characteristics between all vehicle battery pack storage areas. Based on the heat distribution characteristics and airflow relationship characteristics, the time-domain attribute information for time-sharing monitoring of all vehicle battery pack storage areas is determined; based on the time-sharing monitoring time-domain attribute information, time-sharing images are taken of each vehicle battery pack storage area to obtain the corresponding on-site images of the area; The on-site images of the area were analyzed to obtain the current status characteristics of the batteries in the vehicle battery pack storage area; based on the current status characteristics of the batteries, the abnormal location points in the vehicle battery pack storage area were identified; and based on the distribution information of all the abnormal location points, the fire prevention treatment status of the vehicle battery pack storage area was adjusted.

[0025] The beneficial effects of the above embodiments are as follows: This time-sharing monitoring method for vehicle battery packs in a ship cabin scenario analyzes the thermal infrared sensing dynamic data of each vehicle battery pack storage area inside the ship cabin to obtain the heat distribution characteristics of each battery pack storage area. It also analyzes the air pressure data of all vehicle battery pack storage areas inside the ship cabin to obtain the airflow relationship characteristics between all vehicle battery pack storage areas, providing reliable and comprehensive data support for subsequently determining the heat transfer and flow between different storage areas. Based on the heat distribution characteristics and airflow relationship characteristics, the method determines the time-domain attribute information for time-sharing monitoring of all vehicle battery pack storage areas, thereby enabling time-sharing imaging of each vehicle battery pack storage area to obtain corresponding on-site images. Specialized monitoring is conducted during the time periods when explosions or fires may occur in each storage area, reducing the workload of visual monitoring and data processing. Furthermore, the method analyzes the on-site images to obtain battery status characteristics, thereby identifying abnormal locations in the vehicle battery pack storage areas and adjusting the fire prevention measures for these areas. This proactively reduces the probability of battery pack fires and improves the efficiency and reliability of vehicle battery pack monitoring in ship cabin scenarios.

[0026] In another embodiment, thermal infrared sensing dynamic data of each vehicle battery pack storage area inside the cabin is acquired, and the thermal infrared sensing dynamic data is analyzed to obtain heat distribution characteristic information of each vehicle battery pack storage area; air pressure data of all vehicle battery pack storage areas inside the cabin is acquired, and the air pressure data is analyzed to obtain airflow relationship characteristic information between all vehicle battery pack storage areas, including: Thermal infrared dynamic imaging was performed on all vehicle battery pack storage areas inside the ship's cabin to obtain thermal infrared dynamic image data for each vehicle battery pack storage area. The thermal infrared dynamic image data was analyzed to obtain heat distribution characteristic information for each vehicle battery pack storage area. The heat distribution characteristic information includes the relationship between the heat distribution of each vehicle battery pack storage area and the corresponding location points in the global range. Air pressure was measured in all vehicle battery pack storage areas inside the cabin to obtain air pressure data for each area. Based on the relative positions of all vehicle battery pack storage areas and their air pressure data, airflow relationship characteristics between all vehicle battery pack storage areas were obtained. These airflow relationship characteristics include airflow path information between all vehicle battery pack storage areas.

[0027] The beneficial effects of the above embodiments are that the interior of the ship's cabin is relatively large, and the vehicle battery packs are widely stored in different areas within the cabin. To comprehensively and effectively monitor all vehicle battery packs within the cabin, thermal infrared dynamic imaging is first performed on each storage area of ​​the vehicle battery packs, obtaining thermal infrared dynamic image data for each storage area. This allows for a comprehensive and dynamic recording of the thermal state of all vehicle battery packs within each storage area. Analysis of the thermal infrared dynamic image data yields the heat distribution characteristics of each vehicle battery pack storage area, enabling spatial calibration of the heat distribution within each storage area and providing a thermal data foundation for subsequent identification of the heat flow state. Furthermore, the airflow direction within the cabin determines the heat transfer path and speed between all vehicle battery pack storage areas. When the heat transfer volume is high in a particular storage area, this high-temperature environment can trigger an explosion or fire in the vehicle battery packs. To this end, air pressure was measured in all vehicle battery pack storage areas inside the cabin to obtain air pressure data for each area. Based on the relative positions and air pressure data of all vehicle battery pack storage areas, airflow relationship characteristics between them were obtained. This allowed for a comprehensive characterization of airflow paths between all vehicle battery pack storage areas, providing a reliable data foundation for determining the heat transfer paths in all vehicle battery pack storage areas.

[0028] In another embodiment, thermal infrared dynamic imaging is performed on all vehicle battery pack storage areas inside the ship's cabin, including: Real-time monitoring of power consumption data in the ship's cabins; Real-time monitoring of the current ambient temperature and humidity in the ship's cabin; The dynamic shooting time interval adjustment coefficient is obtained by combining the power consumption data of the monitoring cabin with the ambient temperature and humidity. The dynamic shooting time interval adjustment coefficient is obtained by the following formula: ; Where K represents the dynamic shooting time interval adjustment coefficient; E represents the current power consumption data of the cabin; E max This represents the maximum permissible functional energy consumption for power supply in the ship's cabin; W represents the current ambient humidity in the cabin; T represents the current ambient temperature in the cabin; T ref Indicates the preset temperature reference value; W max This indicates the maximum humidity value allowed under the preset optimal operating conditions of the ship's cabin; s 01 Indicates the preset environmental humidity influence factor; s 02 This indicates the preset ambient temperature influence factor; Extract the preset initial shooting time interval; The dynamic shooting time interval adjustment coefficient is compared with a preset adjustment coefficient threshold. When the dynamic shooting time interval adjustment coefficient is lower than the preset adjustment coefficient threshold, the preset initial shooting time interval is used as the shooting time interval for thermal infrared dynamic shooting. When the dynamic shooting time interval adjustment coefficient is not lower than the preset adjustment coefficient threshold, the preset initial shooting time interval is adjusted using the dynamic shooting time interval adjustment coefficient, and the adjusted shooting time interval is used as the shooting time interval for thermal infrared dynamic shooting; wherein, the adjusted shooting time interval is obtained by the following formula: ; Among them, T sg Indicates the adjusted shooting time interval; T s0 K represents the preset initial shooting time interval; K represents the dynamic shooting time interval adjustment coefficient; K y This represents the preset adjustment coefficient threshold; P t P represents the maximum ratio of temperature change amplitude during the temperature change process in the ship's cabin; w This indicates the maximum percentage of humidity change that occurs during the humidity variation process in the ship's cabin.

[0029] The beneficial effects of the above embodiments are that, by monitoring the power consumption, ambient temperature, and humidity of the cabin in real time, this technical solution can reflect changes in the cabin's internal environment instantly. This real-time monitoring mechanism ensures that dynamic thermal infrared imaging can capture the most accurate thermal state of the battery pack storage area, helping to promptly detect potential safety hazards, such as battery overheating and excessive humidity, thereby improving the accuracy and timeliness of monitoring. The introduction of a dynamic shooting time interval adjustment coefficient enables intelligent adjustment of the shooting frequency. When the cabin's power consumption is low and the ambient temperature and humidity are optimal, the shooting time interval can be appropriately extended to reduce unnecessary energy consumption; conversely, in cases of high energy consumption and harsh environments, the shooting time interval is shortened to ensure the continuity and effectiveness of monitoring. This dynamic adjustment strategy based on real-time data effectively balances the relationship between monitoring needs and energy consumption control, achieving optimized resource allocation. Many parameters involved in the technical solution (such as maximum functional energy consumption data, preset temperature reference values, and maximum humidity values) are configurable, meaning the system can be customized according to different types of cabins, different battery pack storage requirements, and specific operating environments. This high degree of flexibility and adaptability enables the system to be widely applied in various shipboard scenarios, meeting the actual needs of different users. Through precise thermal infrared dynamic imaging, the system can promptly detect anomalies in the battery pack storage area, such as potential faults like overheating or short circuits, providing maintenance personnel with timely and accurate early warning information and effectively preventing safety accidents. Simultaneously, the intelligent monitoring strategy reduces the frequency of manual intervention, lowers maintenance costs, and improves overall maintenance efficiency. While pursuing efficient monitoring, this technical solution also emphasizes energy conservation and emission reduction, intelligently adjusting the shooting time interval to reduce unnecessary energy consumption, aligning with the current trend of green shipping. In the long run, this will help promote the sustainable development of the entire shipping industry, achieving a win-win situation for both economic and environmental benefits.

[0030] In summary, this technical solution, through the comprehensive application of real-time monitoring, intelligent adjustment, and flexible configuration, achieves efficient and accurate monitoring of the vehicle battery pack storage area inside the ship's hold. This not only improves monitoring efficiency and accuracy but also optimizes energy consumption management and enhances the system's adaptability and flexibility, providing strong support for improving shipping safety performance, reducing operation and maintenance costs, and promoting green shipping development.

[0031] In another embodiment, based on the heat distribution characteristic information and the airflow relationship characteristic information, time-domain attribute information for time-sharing monitoring of all vehicle battery pack storage areas is determined; based on the time-sharing monitoring time-domain attribute information, time-sharing images are taken of each vehicle battery pack storage area to obtain corresponding on-site images of the area, including: Based on the heat distribution characteristic information, which includes the relationship between the global heat distribution and corresponding location points under each vehicle battery pack storage area, and the airflow path information between all vehicle battery pack storage areas, which includes the airflow relationship characteristic information, the heat flow sequence information in all vehicle battery pack storage areas is determined; based on the flow sequence information and the spatial size of all vehicle battery pack storage areas, the time-domain attribute information for time-division monitoring of all vehicle battery pack storage areas is determined. Based on the time-domain attribute information of the time-division monitoring, each vehicle battery pack storage area is scanned and photographed in a time-division manner to obtain the corresponding on-site image of each vehicle battery pack storage area within the corresponding time interval.

[0032] The beneficial effects of the above embodiments are that the relationship between the global heat distribution of each vehicle battery pack storage area and its corresponding location points determines the amount of heat that the vehicle battery pack storage area can provide, and the airflow path information between all vehicle battery pack storage areas, including the airflow relationship feature information, determines the heat transmission path between all vehicle battery pack storage areas. Based on the relationship between the global heat distribution of each vehicle battery pack storage area and its corresponding location points, including the heat distribution feature information, and the airflow path information between all vehicle battery pack storage areas, including the airflow relationship feature information, the heat flow sequence information in all vehicle battery pack storage areas is determined. Combined with the spatial size of all vehicle battery pack storage areas, the time-domain attribute information for time-division monitoring of all vehicle battery pack storage areas is determined. Generally speaking, the larger the space of a certain vehicle battery pack storage area, the longer the time it takes for the heat to be completely transmitted, and the longer the duration of time-division monitoring of the corresponding vehicle battery pack storage area is. Furthermore, based on the time-domain attribute information of the time-division monitoring, each vehicle battery pack storage area is scanned and photographed in a time-division manner to obtain the corresponding on-site image of each vehicle battery pack storage area within the corresponding time interval. This ensures that the time period in which an explosion or fire may occur in each storage area is specifically monitored, reducing the workload of visual monitoring and data processing.

[0033] In another embodiment, the on-site image of the area is analyzed to obtain the battery status characteristic information of the vehicle battery pack storage area; based on the battery status characteristic information, abnormal location points of the vehicle battery pack storage area are determined; and based on the distribution location information of all abnormal location points, the fire protection treatment status of the vehicle battery pack storage area is adjusted, including: Pixel contour recognition is performed on the on-site image of the area to obtain the characteristic information of the battery shape contour change in the battery storage area of ​​the vehicle battery pack; based on the characteristic information of the battery shape contour change, the vehicle battery pack that has expanded inside the vehicle battery storage area is identified, and the location of the expanded vehicle battery pack is determined as the abnormal location point of the vehicle battery storage area. Based on the distribution information of all abnormal locations within the vehicle battery pack storage area, the fire source area within the vehicle battery pack storage area is determined; based on the external dimensions of the fire source area and the placement information of vehicle battery packs in the adjacent areas surrounding the fire source area, the fire extinguishing foam spraying treatment status for the fire source area is adjusted.

[0034] The beneficial effects of the above embodiments are that automotive battery packs typically expand before exploding and catching fire. By performing shape recognition on the automotive battery pack, it can be determined whether the battery pack has overheated and expanded. To this end, pixel contour recognition is performed on the on-site image of the area to obtain the characteristic information of the battery shape contour change in the battery storage area. Based on this characteristic information, the automotive battery pack that has expanded inside the storage area is identified, and the location of the expanded battery pack is determined as an abnormal location point in the storage area. This allows for accurate location of potential fire points within the storage area. Furthermore, based on the distribution information of all abnormal location points within the storage area, the ignition source area within the storage area is determined. For example, the area covered by a circle centered on an abnormal location point and with a preset length as its radius is defined as the ignition source area. Furthermore, based on the external dimensions of the fire source area and the placement information of vehicle battery packs in adjacent areas surrounding the fire source area, fire extinguishing foam is pre-sprayed into the gap areas outside the fire source area where no vehicle battery packs are placed, thereby proactively reducing the probability of battery pack fires and preventing the fire from spreading.

[0035] Please see Figure 2 As shown, one embodiment of this application provides a time-sharing monitoring system for vehicle battery packs used in a ship cabin scenario. The time-sharing monitoring system for vehicle battery packs used in a ship cabin scenario includes: The thermal infrared sensing analysis module is used to acquire the thermal infrared sensing dynamic data of each vehicle battery pack storage area inside the cabin, and analyze the thermal infrared sensing dynamic data to obtain the heat distribution characteristic information of each vehicle battery pack storage area. The air pressure detection and analysis module is used to acquire air pressure data of all vehicle battery pack storage areas inside the cabin, analyze the air pressure data, and obtain the airflow relationship characteristic information between all vehicle battery pack storage areas. The time-sharing monitoring status determination module is used to determine the time-sharing monitoring time-domain attribute information of all vehicle battery pack storage areas based on the heat distribution characteristic information and the airflow relationship characteristic information. The time-sharing shooting control module is used to shoot each vehicle battery pack storage area in a time-sharing manner based on the time-sharing monitoring time-domain attribute information to obtain the corresponding area on-site images; The abnormal location point determination module is used to analyze the on-site images of the area to obtain the battery status characteristic information of the vehicle battery pack storage area; based on the battery status characteristic information, the abnormal location points of the vehicle battery pack storage area are determined. The fire protection treatment adjustment module is used to adjust the fire protection treatment status of the vehicle battery pack storage area based on the distribution information of all abnormal locations.

[0036] The beneficial effects of the above embodiments are as follows: the time-sharing monitoring system for vehicle battery packs in a ship cabin scenario analyzes the dynamic data of thermal infrared sensing of each vehicle battery pack storage area inside the ship cabin to obtain the heat distribution characteristics of each battery pack storage area, and analyzes the air pressure data of all vehicle battery pack storage areas inside the ship cabin to obtain the airflow relationship characteristics between all vehicle battery pack storage areas, providing reliable and comprehensive data support for subsequently determining the heat transfer and flow between different storage areas; based on the heat distribution characteristics and airflow relationship characteristics, the system determines the time-domain attribute information for time-sharing monitoring of all vehicle battery pack storage areas, thereby enabling time-sharing imaging of each vehicle battery pack storage area to obtain corresponding on-site images of the area, and specifically monitoring the time periods in which explosions and fires may occur in each storage area, reducing the workload of visual monitoring and data processing; it also analyzes the on-site images of the area to obtain the battery status characteristics, thereby determining the abnormal location points of the vehicle battery pack storage areas and adjusting the fire prevention treatment status of the vehicle battery pack storage areas, proactively reducing the probability of battery pack fires and improving the monitoring efficiency and reliability of vehicle battery packs in ship cabin scenarios.

[0037] In another embodiment, the thermal infrared sensing analysis module is used to acquire thermal infrared sensing dynamic data of each of the vehicle battery pack storage areas inside the ship's cabin, and analyze the thermal infrared sensing dynamic data to obtain heat distribution characteristic information of each vehicle battery pack storage area, including: Thermal infrared dynamic imaging was performed on all vehicle battery pack storage areas inside the ship's cabin to obtain thermal infrared dynamic image data for each vehicle battery pack storage area. The thermal infrared dynamic image data was analyzed to obtain heat distribution characteristic information for each vehicle battery pack storage area. The heat distribution characteristic information includes the relationship between the heat distribution of each vehicle battery pack storage area and the corresponding location points in the global range. This air pressure detection and analysis module is used to acquire air pressure data for all vehicle battery pack storage areas inside the ship's cabin, analyze this air pressure data, and obtain the airflow relationship characteristics between all vehicle battery pack storage areas, including: Air pressure was measured in all vehicle battery pack storage areas inside the cabin to obtain air pressure data for each area. Based on the relative positions of all vehicle battery pack storage areas and their air pressure data, airflow relationship characteristics between all vehicle battery pack storage areas were obtained. These airflow relationship characteristics include airflow path information between all vehicle battery pack storage areas.

[0038] The beneficial effects of the above embodiments are that the interior of the ship's cabin is relatively large, and the vehicle battery packs are widely stored in different areas within the cabin. To comprehensively and effectively monitor all vehicle battery packs within the cabin, thermal infrared dynamic imaging is first performed on each storage area of ​​the vehicle battery packs, obtaining thermal infrared dynamic image data for each storage area. This allows for a comprehensive and dynamic recording of the thermal state of all vehicle battery packs within each storage area. Analysis of the thermal infrared dynamic image data yields the heat distribution characteristics of each vehicle battery pack storage area, enabling spatial calibration of the heat distribution within each storage area and providing a thermal data foundation for subsequent identification of the heat flow state. Furthermore, the airflow direction within the cabin determines the heat transfer path and speed between all vehicle battery pack storage areas. When the heat transfer volume is high in a particular storage area, this high-temperature environment can trigger an explosion or fire in the vehicle battery packs. To this end, air pressure was measured in all vehicle battery pack storage areas inside the cabin to obtain air pressure data for each area. Based on the relative positions and air pressure data of all vehicle battery pack storage areas, airflow relationship characteristics between them were obtained. This allowed for a comprehensive characterization of airflow paths between all vehicle battery pack storage areas, providing a reliable data foundation for determining the heat transfer paths in all vehicle battery pack storage areas.

[0039] In another embodiment, thermal infrared dynamic imaging is performed on all vehicle battery pack storage areas inside the ship's cabin, including: Real-time monitoring of power consumption data in the ship's cabins; Real-time monitoring of the current ambient temperature and humidity in the ship's cabin; The dynamic shooting time interval adjustment coefficient is obtained by combining the power consumption data of the monitoring cabin with the ambient temperature and humidity. The dynamic shooting time interval adjustment coefficient is obtained by the following formula: ; Where K represents the dynamic shooting time interval adjustment coefficient; E represents the current power consumption data of the cabin; E max This represents the maximum permissible functional energy consumption for power supply in the ship's cabin; W represents the current ambient humidity in the cabin; T represents the current ambient temperature in the cabin; T ref Indicates the preset temperature reference value; W max This indicates the maximum humidity value allowed under the preset optimal operating conditions of the ship's cabin; s 01 Indicates the preset environmental humidity influence factor; s 02 This indicates the preset ambient temperature influence factor; Extract the preset initial shooting time interval; The dynamic shooting time interval adjustment coefficient is compared with a preset adjustment coefficient threshold. When the dynamic shooting time interval adjustment coefficient is lower than the preset adjustment coefficient threshold, the preset initial shooting time interval is used as the shooting time interval for thermal infrared dynamic shooting. When the dynamic shooting time interval adjustment coefficient is not lower than the preset adjustment coefficient threshold, the preset initial shooting time interval is adjusted using the dynamic shooting time interval adjustment coefficient, and the adjusted shooting time interval is used as the shooting time interval for thermal infrared dynamic shooting; wherein, the adjusted shooting time interval is obtained by the following formula: ; Among them, T sg Indicates the adjusted shooting time interval; T s0 K represents the preset initial shooting time interval; K represents the dynamic shooting time interval adjustment coefficient; K y This represents the preset adjustment coefficient threshold; P t P represents the maximum ratio of temperature change amplitude during the temperature change process in the ship's cabin; w This indicates the maximum percentage of humidity change that occurs during the humidity variation process in the ship's cabin.

[0040] The beneficial effects of the above embodiments are that, by monitoring the power consumption, ambient temperature, and humidity of the cabin in real time, this technical solution can reflect changes in the cabin's internal environment instantly. This real-time monitoring mechanism ensures that dynamic thermal infrared imaging can capture the most accurate thermal state of the battery pack storage area, helping to promptly detect potential safety hazards, such as battery overheating and excessive humidity, thereby improving the accuracy and timeliness of monitoring. The introduction of a dynamic shooting time interval adjustment coefficient enables intelligent adjustment of the shooting frequency. When the cabin's power consumption is low and the ambient temperature and humidity are optimal, the shooting time interval can be appropriately extended to reduce unnecessary energy consumption; conversely, in cases of high energy consumption and harsh environments, the shooting time interval is shortened to ensure the continuity and effectiveness of monitoring. This dynamic adjustment strategy based on real-time data effectively balances the relationship between monitoring needs and energy consumption control, achieving optimized resource allocation. Many parameters involved in the technical solution (such as maximum functional energy consumption data, preset temperature reference values, and maximum humidity values) are configurable, meaning the system can be customized according to different types of cabins, different battery pack storage requirements, and specific operating environments. This high degree of flexibility and adaptability enables the system to be widely applied in various shipboard scenarios, meeting the actual needs of different users. Through precise thermal infrared dynamic imaging, the system can promptly detect anomalies in the battery pack storage area, such as potential faults like overheating or short circuits, providing maintenance personnel with timely and accurate early warning information and effectively preventing safety accidents. Simultaneously, the intelligent monitoring strategy reduces the frequency of manual intervention, lowers maintenance costs, and improves overall maintenance efficiency. While pursuing efficient monitoring, this technical solution also emphasizes energy conservation and emission reduction, intelligently adjusting the shooting time interval to reduce unnecessary energy consumption, aligning with the current trend of green shipping. In the long run, this will help promote the sustainable development of the entire shipping industry, achieving a win-win situation for both economic and environmental benefits.

[0041] In summary, this technical solution, through the comprehensive application of real-time monitoring, intelligent adjustment, and flexible configuration, achieves efficient and accurate monitoring of the vehicle battery pack storage area inside the ship's hold. This not only improves monitoring efficiency and accuracy but also optimizes energy consumption management and enhances the system's adaptability and flexibility, providing strong support for improving shipping safety performance, reducing operation and maintenance costs, and promoting green shipping development.

[0042] In another embodiment, the time-sharing monitoring status determination module is used to determine the time-sharing monitoring time-domain attribute information for all vehicle battery pack storage areas based on the heat distribution characteristic information and the airflow relationship characteristic information, including: Based on the heat distribution characteristic information, which includes the relationship between the global heat distribution and corresponding location points under each vehicle battery pack storage area, and the airflow path information between all vehicle battery pack storage areas, which includes the airflow relationship characteristic information, the heat flow sequence information in all vehicle battery pack storage areas is determined; based on the flow sequence information and the spatial size of all vehicle battery pack storage areas, the time-domain attribute information for time-division monitoring of all vehicle battery pack storage areas is determined. This time-sharing shooting control module is used to perform time-sharing shooting of each vehicle battery pack storage area based on the time-sharing monitoring time-domain attribute information, to obtain the corresponding on-site images of the area, including: Based on the time-domain attribute information of the time-division monitoring, each vehicle battery pack storage area is scanned and photographed in a time-division manner to obtain the corresponding on-site image of each vehicle battery pack storage area within the corresponding time interval.

[0043] The beneficial effects of the above embodiments are that the relationship between the global heat distribution of each vehicle battery pack storage area and its corresponding location points determines the amount of heat that the vehicle battery pack storage area can provide, and the airflow path information between all vehicle battery pack storage areas, including the airflow relationship feature information, determines the heat transmission path between all vehicle battery pack storage areas. Based on the relationship between the global heat distribution of each vehicle battery pack storage area and its corresponding location points, including the heat distribution feature information, and the airflow path information between all vehicle battery pack storage areas, including the airflow relationship feature information, the heat flow sequence information in all vehicle battery pack storage areas is determined. Combined with the spatial size of all vehicle battery pack storage areas, the time-domain attribute information for time-division monitoring of all vehicle battery pack storage areas is determined. Generally speaking, the larger the space of a certain vehicle battery pack storage area, the longer the time it takes for the heat to be completely transmitted, and the longer the duration of time-division monitoring of the corresponding vehicle battery pack storage area is. Furthermore, based on the time-domain attribute information of the time-division monitoring, each vehicle battery pack storage area is scanned and photographed in a time-division manner to obtain the corresponding on-site image of each vehicle battery pack storage area within the corresponding time interval. This ensures that the time period in which an explosion or fire may occur in each storage area is specifically monitored, reducing the workload of visual monitoring and data processing.

[0044] In another embodiment, the abnormal location point determination module is used to analyze the on-site image of the area to obtain the battery status characteristic information of the vehicle battery pack storage area; based on the battery status characteristic information, the abnormal location points of the vehicle battery pack storage area are determined, including: Pixel contour recognition is performed on the on-site image of the area to obtain the characteristic information of the battery shape contour change in the battery storage area of ​​the vehicle battery pack; based on the characteristic information of the battery shape contour change, the vehicle battery pack that has expanded inside the vehicle battery storage area is identified, and the location of the expanded vehicle battery pack is determined as the abnormal location point of the vehicle battery storage area. This fire protection adjustment module is used to adjust the fire protection status of the vehicle battery pack storage area based on the distribution information of all abnormal locations, including: Based on the distribution information of all abnormal locations within the vehicle battery pack storage area, the fire source area within the vehicle battery pack storage area is determined; based on the external dimensions of the fire source area and the placement information of vehicle battery packs in the adjacent areas surrounding the fire source area, the fire extinguishing foam spraying treatment status for the fire source area is adjusted.

[0045] The beneficial effects of the above embodiments are that automotive battery packs typically expand before exploding and catching fire. By performing shape recognition on the automotive battery pack, it can be determined whether the battery pack has overheated and expanded. To this end, pixel contour recognition is performed on the on-site image of the area to obtain the characteristic information of the battery shape contour change in the battery storage area. Based on this characteristic information, the automotive battery pack that has expanded inside the storage area is identified, and the location of the expanded battery pack is determined as an abnormal location point in the storage area. This allows for accurate location of potential fire points within the storage area. Furthermore, based on the distribution information of all abnormal location points within the storage area, the ignition source area within the storage area is determined. For example, the area covered by a circle centered on an abnormal location point and with a preset length as its radius is defined as the ignition source area. Furthermore, based on the external dimensions of the fire source area and the placement information of vehicle battery packs in adjacent areas surrounding the fire source area, fire extinguishing foam is pre-sprayed into the gap areas outside the fire source area where no vehicle battery packs are placed, thereby proactively reducing the probability of battery pack fires and preventing the fire from spreading.

[0046] In summary, this time-sharing monitoring method and system for automotive battery packs in a ship cabin scenario analyzes the dynamic thermal infrared sensing data of each battery pack storage area within the cabin to obtain heat distribution characteristics for each area. It also analyzes the air pressure data of all battery pack storage areas to obtain airflow relationship characteristics, providing reliable and comprehensive data support for subsequently determining the heat transfer and flow between different storage areas. Based on the heat distribution and airflow relationship characteristics, the system determines the time-domain attributes for time-sharing monitoring of all battery pack storage areas, enabling time-sharing image capture of each area. This allows for dedicated monitoring during periods when explosions or fires are possible in each storage area, reducing the workload of visual monitoring and data processing. Furthermore, the system analyzes the area images to obtain battery status characteristics, identifying abnormal locations within the battery pack storage areas and adjusting fire prevention measures accordingly. This proactively reduces the probability of battery pack fires and improves the efficiency and reliability of battery pack monitoring in ship cabin scenarios.

[0047] The above is only one specific embodiment of the present invention, and any improvements made based on the concept of the present invention shall be considered within the scope of protection of the present invention.

Claims

1. A time-sharing monitoring method for vehicle battery packs used in ship cabin scenarios, characterized in that, include: The system acquires thermal infrared sensing dynamic data for each of the vehicle battery pack storage areas inside the cabin, analyzes the thermal infrared sensing dynamic data to obtain heat distribution characteristic information for each vehicle battery pack storage area; it also acquires air pressure data for all vehicle battery pack storage areas inside the cabin, analyzes the air pressure data to obtain airflow relationship characteristic information between all vehicle battery pack storage areas. Based on the heat distribution characteristic information and the airflow relationship characteristic information, the time-domain attribute information for time-sharing monitoring of all vehicle battery pack storage areas is determined; based on the time-sharing monitoring time-domain attribute information, time-sharing images are taken of each vehicle battery pack storage area to obtain the corresponding on-site images of the area; The on-site images of the area are analyzed to obtain the current status characteristics of the batteries in the vehicle battery pack storage area; based on the current status characteristics of the batteries, abnormal location points in the vehicle battery pack storage area are determined; and based on the distribution location information of all abnormal location points, the fire prevention treatment status of the vehicle battery pack storage area is adjusted.

2. The time-sharing monitoring method for vehicle battery packs in a ship cabin scenario as described in claim 1, characterized in that: The system acquires thermal infrared sensing dynamic data for each of the vehicle battery pack storage areas inside the ship's cabin, analyzes the thermal infrared sensing dynamic data to obtain heat distribution characteristic information for each vehicle battery pack storage area; it also acquires air pressure data for all vehicle battery pack storage areas inside the ship's cabin, analyzes the air pressure data to obtain airflow relationship characteristic information between all vehicle battery pack storage areas, including: Thermal infrared dynamic imaging was performed on all vehicle battery pack storage areas inside the ship's cabin to obtain thermal infrared dynamic image data for each vehicle battery pack storage area; the thermal infrared dynamic image data was analyzed to obtain heat distribution characteristic information for each vehicle battery pack storage area; wherein, the heat distribution characteristic information includes the relationship information between the heat distribution of the global range under each vehicle battery pack storage area and the corresponding location points. Air pressure is measured in all vehicle battery pack storage areas inside the cabin to obtain air pressure data for each area. Based on the relative positions of all vehicle battery pack storage areas and their air pressure data, airflow relationship characteristic information between all vehicle battery pack storage areas is obtained. The airflow relationship characteristic information includes airflow path information between all vehicle battery pack storage areas.

3. The time-sharing monitoring method for vehicle battery packs in a ship cabin scenario as described in claim 2, characterized in that: Thermal infrared dynamic imaging was performed on all vehicle battery pack storage areas inside the ship's cabin, including: Real-time monitoring of power consumption data in the ship's cabins; Real-time monitoring of the current ambient temperature and humidity in the ship's cabin; The dynamic shooting time interval adjustment coefficient is obtained by combining the power consumption data of the monitoring cabin with the ambient temperature and humidity. The dynamic shooting time interval adjustment coefficient is obtained by the following formula: ； Where K represents the dynamic shooting time interval adjustment coefficient; E represents the current power consumption data of the cabin; E max This represents the maximum permissible functional energy consumption for power supply in the ship's cabin; W represents the current ambient humidity in the cabin; T represents the current ambient temperature in the cabin; T ref Indicates the preset temperature reference value; W max This indicates the maximum humidity value allowed under the preset optimal operating conditions of the ship's cabin; s 01 Indicates the preset environmental humidity influence factor; s 02 This indicates the preset ambient temperature influence factor; Extract the preset initial shooting time interval; The dynamic shooting time interval adjustment coefficient is compared with a preset adjustment coefficient threshold. When the dynamic shooting time interval adjustment coefficient is lower than the preset adjustment coefficient threshold, the preset initial shooting time interval is used as the shooting time interval for thermal infrared dynamic shooting. When the dynamic shooting time interval adjustment coefficient is not lower than the preset adjustment coefficient threshold, the preset initial shooting time interval is adjusted using the dynamic shooting time interval adjustment coefficient, and the adjusted shooting time interval is used as the shooting time interval for thermal infrared dynamic shooting; wherein, the adjusted shooting time interval is obtained by the following formula: ； Among them, T sg Indicates the adjusted shooting time interval; T s0 K represents the preset initial shooting time interval; K represents the dynamic shooting time interval adjustment coefficient; K y This represents the preset adjustment coefficient threshold; P t P represents the maximum ratio of temperature change amplitude during the temperature change process in the ship's cabin; w This indicates the maximum percentage of humidity change that occurs during the humidity variation process in the ship's cabin.

4. The time-sharing monitoring method for vehicle battery packs in a ship cabin scenario as described in claim 1, characterized in that: Based on the heat distribution characteristic information and the airflow relationship characteristic information, time-domain attribute information for time-division monitoring of all vehicle battery pack storage areas is determined; Based on the time-domain attribute information of the time-division monitoring, time-division shooting is performed on the storage area of ​​each vehicle battery pack to obtain the corresponding on-site images of the area, including: Based on the heat distribution characteristic information, which includes the relationship between the global heat distribution and corresponding location points under each vehicle battery pack storage area, and the airflow relationship characteristic information, which includes the airflow path information between all vehicle battery pack storage areas, the heat flow sequence information in all vehicle battery pack storage areas is determined; based on the flow sequence information and the spatial size of all vehicle battery pack storage areas, the time-domain attribute information for time-division monitoring of all vehicle battery pack storage areas is determined. Based on the time-domain attribute information of the time-division monitoring, each vehicle battery pack storage area is scanned and photographed in a time-division manner to obtain the corresponding on-site image of each vehicle battery pack storage area within the corresponding time interval.

5. The time-sharing monitoring method for vehicle battery packs in a ship cabin scenario as described in claim 1, characterized in that: Analyze the on-site images of the area to obtain the battery status characteristics of the vehicle battery pack storage area; based on the battery status characteristics, determine the abnormal location points of the vehicle battery pack storage area; Based on the distribution information of all the abnormal locations, the fire protection status of the vehicle battery pack storage area is adjusted, including: Pixel contour recognition is performed on the on-site image of the area to obtain the characteristic information of the battery shape contour change in the vehicle battery pack storage area; based on the characteristic information of the battery shape contour change, the vehicle battery pack that has expanded inside the vehicle battery pack storage area is identified, and the location point of the expanded vehicle battery pack is determined as the abnormal location point of the vehicle battery pack storage area. Based on the distribution information of all abnormal locations within the vehicle battery pack storage area, the fire source area within the vehicle battery pack storage area is determined; based on the external dimensions of the fire source area and the placement status information of vehicle battery packs in adjacent areas surrounding the fire source area, the fire extinguishing foam spraying treatment status of the fire source area is adjusted.

6. A time-sharing monitoring system for vehicle battery packs used in ship cabin scenarios, characterized in that, include: The thermal infrared sensing analysis module is used to acquire the thermal infrared sensing dynamic data of each of the vehicle battery pack storage areas inside the cabin, and to analyze the thermal infrared sensing dynamic data to obtain the heat distribution characteristic information of each vehicle battery pack storage area. The air pressure detection and analysis module is used to acquire air pressure data of all vehicle battery pack storage areas inside the cabin, analyze the air pressure data, and obtain the airflow relationship characteristic information between all vehicle battery pack storage areas. The time-sharing monitoring status determination module is used to determine the time-sharing monitoring time-domain attribute information of all vehicle battery pack storage areas based on the heat distribution characteristic information and the airflow relationship characteristic information. The time-sharing shooting control module is used to shoot each vehicle battery pack storage area in a time-sharing manner based on the time-sharing monitoring time-domain attribute information to obtain the corresponding area on-site image; An anomaly location point determination module is used to analyze the on-site images of the area to obtain the battery status characteristic information of the vehicle battery pack storage area; and to determine the anomaly location points of the vehicle battery pack storage area based on the battery status characteristic information. The fire protection treatment adjustment module is used to adjust the fire protection treatment status of the vehicle battery pack storage area based on the distribution location information of all the abnormal location points.

7. The vehicle battery pack time-sharing monitoring system for ship cabin scenarios as described in claim 6, characterized in that: The thermal infrared sensing analysis module is used to acquire thermal infrared sensing dynamic data for each of the vehicle battery pack storage areas inside the ship's cabin, and analyze the thermal infrared sensing dynamic data to obtain heat distribution characteristic information for each vehicle battery pack storage area, including: Thermal infrared dynamic imaging was performed on all vehicle battery pack storage areas inside the ship's cabin to obtain thermal infrared dynamic image data for each vehicle battery pack storage area; the thermal infrared dynamic image data was analyzed to obtain heat distribution characteristic information for each vehicle battery pack storage area; wherein, the heat distribution characteristic information includes the relationship information between the heat distribution of the global range under each vehicle battery pack storage area and the corresponding location points. The air pressure detection and analysis module is used to acquire air pressure data of all vehicle battery pack storage areas inside the cabin, analyze the air pressure data, and obtain airflow relationship characteristic information between all vehicle battery pack storage areas, including: Air pressure is measured in all vehicle battery pack storage areas inside the cabin to obtain air pressure data for each area. Based on the relative positions of all vehicle battery pack storage areas and their air pressure data, airflow relationship characteristic information between all vehicle battery pack storage areas is obtained. The airflow relationship characteristic information includes airflow path information between all vehicle battery pack storage areas.

8. The time-sharing monitoring method for vehicle battery packs in a ship cabin scenario as described in claim 7, characterized in that: Thermal infrared dynamic imaging was performed on all vehicle battery pack storage areas inside the ship's cabin, including: Real-time monitoring of power consumption data in the ship's cabins; Real-time monitoring of the current ambient temperature and humidity in the ship's cabin; The dynamic shooting time interval adjustment coefficient is obtained by combining the power consumption data of the monitoring cabin with the ambient temperature and humidity. The dynamic shooting time interval adjustment coefficient is obtained by the following formula: ； Where K represents the dynamic shooting time interval adjustment coefficient; E represents the current power consumption data of the cabin; E max This represents the maximum permissible functional energy consumption for power supply in the ship's cabin; W represents the current ambient humidity in the cabin; T represents the current ambient temperature in the cabin; T ref Indicates the preset temperature reference value; W max This indicates the maximum humidity value allowed under the preset optimal operating conditions of the ship's cabin; s 01 Indicates the preset environmental humidity influence factor; s 02 This indicates the preset ambient temperature influence factor; Extract the preset initial shooting time interval; The dynamic shooting time interval adjustment coefficient is compared with a preset adjustment coefficient threshold. When the dynamic shooting time interval adjustment coefficient is lower than the preset adjustment coefficient threshold, the preset initial shooting time interval is used as the shooting time interval for thermal infrared dynamic shooting. When the dynamic shooting time interval adjustment coefficient is not lower than the preset adjustment coefficient threshold, the preset initial shooting time interval is adjusted using the dynamic shooting time interval adjustment coefficient, and the adjusted shooting time interval is used as the shooting time interval for thermal infrared dynamic shooting; wherein, the adjusted shooting time interval is obtained by the following formula: ； Among them, T sg Indicates the adjusted shooting time interval; T s0 K represents the preset initial shooting time interval; K represents the dynamic shooting time interval adjustment coefficient; K y This represents the preset adjustment coefficient threshold; P t P represents the maximum ratio of temperature change amplitude during the temperature change process in the ship's cabin; w This indicates the maximum percentage of humidity change that occurs during the humidity variation process in the ship's cabin.

9. The vehicle battery pack time-sharing monitoring system for ship cabin scenarios as described in claim 6, characterized in that: The time-sharing monitoring status determination module is used to determine the time-domain attribute information of all vehicle battery pack storage areas based on the heat distribution characteristic information and the airflow relationship characteristic information, including: Based on the heat distribution characteristic information, which includes the relationship between the global heat distribution and corresponding location points under each vehicle battery pack storage area, and the airflow relationship characteristic information, which includes the airflow path information between all vehicle battery pack storage areas, the heat flow sequence information in all vehicle battery pack storage areas is determined; based on the flow sequence information and the spatial size of all vehicle battery pack storage areas, the time-domain attribute information for time-division monitoring of all vehicle battery pack storage areas is determined. The time-sharing shooting control module is used to perform time-sharing shooting of each vehicle battery pack storage area based on the time-sharing monitoring time-domain attribute information, to obtain corresponding on-site images of the area, including: Based on the time-domain attribute information of the time-division monitoring, each vehicle battery pack storage area is scanned and photographed in a time-division manner to obtain the corresponding on-site image of each vehicle battery pack storage area within the corresponding time interval.

10. The vehicle battery pack time-sharing monitoring system for ship cabin scenarios as described in claim 6, characterized in that: The abnormal location point determination module is used to analyze the on-site images of the area to obtain the battery status characteristic information of the vehicle battery pack storage area; Based on the battery status characteristics, abnormal location points in the vehicle battery pack storage area are determined, including: Pixel contour recognition is performed on the on-site image of the area to obtain the characteristic information of the battery shape contour change in the vehicle battery pack storage area; based on the characteristic information of the battery shape contour change, the vehicle battery pack that has expanded inside the vehicle battery pack storage area is identified, and the location point of the expanded vehicle battery pack is determined as the abnormal location point of the vehicle battery pack storage area. The fire protection adjustment module is used to adjust the fire protection status of the vehicle battery pack storage area based on the distribution location information of all abnormal location points, including: Based on the distribution information of all abnormal locations within the vehicle battery pack storage area, the fire source area within the vehicle battery pack storage area is determined; based on the external dimensions of the fire source area and the placement status information of vehicle battery packs in adjacent areas surrounding the fire source area, the fire extinguishing foam spraying treatment status of the fire source area is adjusted.

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