Battery charging and replacing method suitable for fire-fighting hidden danger identification processing battery replacing cabinet

Abstract

The invention provides a battery charging and replacing method suitable for a fire-fighting hidden danger identification processing battery replacing cabinet, and relates to the data processing technology, after the cabinet door closing operation of the battery replacing cabinet is judged, the battery state is identified and processed based on a sensing device in the closed cabinet door; if it is judged that the to-be-charged battery exists, electric energy attribute information of the to-be-charged battery is obtained, and corresponding voltage data is generated based on the electric energy attribute information; generating a unique battery number based on the cabinet control number of the closed cabinet door and the cell number, and correspondingly processing the unique battery number and the to-be-charged battery charged this time; based on the voltage data and the cell characteristic data, performing dynamic matching and dynamic compensation on the electric quantity of the to-be-charged battery to obtain dynamic charging data; the dynamic charging data and the environment data in the cabinet door are sent to the SAAS platform and then are displayed based on the APP, and other cabinet doors meeting the requirements are controlled to be opened so as to be opened and replaced with new batteries, so that the accurate monitoring and management of the battery state can be realized.

Description

Technical Field

[0001] The present invention relates to data processing technology, and in particular to a battery charging and replacing method suitable for a battery replacement cabinet for identifying and processing fire hazards. Background Art

[0002] Battery swap cabinets, as a device for quickly replacing batteries, are gradually becoming an important infrastructure in cities. Such equipment is usually installed in crowded areas to provide users with convenient and fast battery replacement services. The battery swap cabinets in existing applications mainly use proprietary communication batteries. Ordinary hardware version batteries cannot be charged in the battery swap cabinets. Conventional technologies lack effective identification and communication mechanisms in battery monitoring and management. For example, they cannot accurately detect battery status and cannot dynamically adjust charging strategies, which makes it difficult to meet user needs.

[0003] Currently, ordinary batteries on the market are charged and replaced using battery swap cabinets and chargers. The battery swap cabinet provides a 220V socket interface and an ordinary charger. Users put the battery in to charge. The battery status cannot be monitored remotely, the assets are unsafe, and there are no complete fire protection measures.

[0004] Therefore, how to effectively manage and charge ordinary hardware batteries in smart fire protection battery exchange cabinets, improve the efficiency of battery charging, and achieve accurate monitoring and management of battery status has become an urgent problem to be solved. Summary of the invention

[0005] The embodiment of the present invention provides a battery charging and replacing method suitable for a fire hazard identification and processing battery replacement cabinet, which can solve the problem of effective management and charging of ordinary hardware version batteries in an intelligent fire protection battery replacement cabinet, improve the efficiency of battery charging, and realize accurate monitoring and management of battery status.

[0006] A first aspect of an embodiment of the present invention provides a battery charging and replacing method for a battery replacement cabinet applicable to fire hazard identification and processing, comprising: After determining that the door of the battery swap cabinet is closed, the battery status is identified and processed based on the sensing device in the closed door; If it is determined that there is a battery to be charged, then obtaining the power attribute information of the battery to be charged, and generating corresponding voltage data based on the power attribute information; Generate a unique battery number based on the cabinet control number and the compartment number of the closed cabinet door, and match the unique battery number with the battery to be charged in this charging; Based on the voltage data and cell characteristic data, the dynamic charging data is obtained by dynamically matching and dynamically compensating the power of the battery to be charged; The dynamic charging data and the environmental data inside the cabinet door are sent to the SAAS platform and displayed based on the APP, and other cabinet doors that meet the requirements are controlled to open for battery replacement.

[0007] Optionally, in a possible implementation of the first aspect, the method further includes: If the battery status is determined by the sensing device to be absent, the state of the pressure switch is obtained, and the pressure switch is in contact with the battery to be charged to detect the battery to be charged; If it is determined that the indicator light of the pressure switch is in the on state, after activating charging and identifying the battery, a unique battery number is generated based on the cabinet control number and the compartment number of the closed cabinet door.

[0008] Optionally, in a possible implementation of the first aspect, the method further includes: If it is determined that the indicator light of the pressure switch is off or charging cannot be activated, the staff will be reminded to repeat the battery replacement operation based on the battery replacement cabinet and / or APP; After the secondary placement information input by the staff is received based on the battery swap cabinet and / or APP, the cabinet control number and grid number of the corresponding battery swap cabinet are uploaded to the background server based on the APP.

[0009] Optionally, in a possible implementation of the first aspect, the method further includes: The battery exchange cabinet includes a battery detection port, and controls the cabinet door corresponding to the battery detection port to open after judging that the user inputs a battery detection instruction, and starts the multi-modal acquisition device after judging that a battery to be detected is placed in the battery detection port and the cabinet door is closed; Acquiring multimodal information of the battery to be detected based on a multimodal acquisition device, and analyzing and processing the multimodal information to obtain analysis information of the battery to be detected; If the analysis information meets the requirements, a two-dimensional code is generated and attached to the battery to be tested based on a robot arm, and the characteristic information of the battery to be tested is extracted and combined with the two-dimensional code for storage.

[0010] Optionally, in a possible implementation manner of the first aspect, if it is determined that there is a battery to be charged, obtaining power attribute information of the battery to be charged, and generating corresponding voltage data based on the power attribute information, includes: If it is determined that there is a battery to be charged, obtaining the QR code and characteristic information of the battery to be charged; If the two-dimensional code and characteristic information of the battery to be charged correspond to the characteristic information and two-dimensional code of the battery to be detected that are stored in advance, corresponding voltage data is generated based on the electric energy attribute information.

[0011] Optionally, in a possible implementation of the first aspect, the acquiring multimodal information of the battery to be detected based on the multimodal acquisition device, and analyzing and processing the multimodal information to obtain analysis information of the battery to be detected includes: The multimodal acquisition device includes a white light image acquisition device and an infrared image acquisition device; The white light image acquisition device based on different directions in the cabinet extracts the contour of the battery to be detected, obtains the corresponding white light contour information, and analyzes the white light contour information to obtain the white light contour result as the feature information; The infrared image acquisition device based on different directions in the cabinet extracts the infrared image of the battery to be tested and obtains the corresponding infrared image information; The infrared image information is segmented based on the white light contour result to obtain a segmented infrared image, and the analysis information of the battery to be tested is obtained based on the infrared images at different time sequences of the segmented infrared image.

[0012] Optionally, in a possible implementation of the first aspect, the white light image acquisition device based on different directions in the cabinet extracts the contour of the battery to be detected to obtain corresponding white light contour information, and analyzes the white light contour information to obtain a white light contour result as feature information, including: Acquire a two-dimensional top view acquired by a white light image acquisition device located at the upper part of the cabinet, analyze the pixel points in the acquired two-dimensional top view, and obtain contour lines in different directions; Extracting the target axis coordinates corresponding to each contour line, and synchronizing the target axis coordinates to a white light image acquisition device corresponding to two-dimensional lateral image extraction; The two-dimensional lateral images extracted by the white light image acquisition device based on the two-dimensional lateral image extraction and the target axis coordinates are analyzed and processed to obtain white light contour information of each group of two-dimensional lateral images, and the white light contour information is analyzed to obtain a white light contour result as feature information.

[0013] Optionally, in a possible implementation of the first aspect, acquiring a two-dimensional top view acquired by a white light image acquisition device located at the upper part of the cabinet, and analyzing pixel points in the acquired two-dimensional top view to obtain contour lines in different directions include: Determine the pixel points with pixel values ​​corresponding to the battery to be detected in the two-dimensional upper view as the battery pixel points, and determine the pixel points with pixel values ​​corresponding to the color inside the cabinet in the two-dimensional upper view as the cabinet pixel points; The two-dimensional top view is processed into a coordinate system to obtain a first coordinate system, the battery coordinates of the battery pixel points adjacent to the cabinet coordinates of the cabinet pixel points are determined, and the battery pixel points corresponding to the determined battery coordinates are used as contour pixel points; Adjacent contour pixel points among all contour pixel points are determined, and the slopes between all adjacent two pixel points are obtained. Contour lines in different directions are obtained based on the slope analysis between all adjacent two pixel points.

[0014] Optionally, in a possible implementation manner of the first aspect, determining adjacent contour pixel points among all contour pixel points, and obtaining slopes between all adjacent two pixel points, and obtaining contour lines in different directions based on the slope analysis between all adjacent two pixel points, includes: If the slope between a pixel point and two other adjacent pixel points is the same, the corresponding pixel point is judged to be a non-corner point; If it is determined that the slope between a pixel point and two other adjacent pixel points is different, and the absolute value of the difference between the two slopes is greater than or equal to a first preset value, then the corresponding pixel point is determined to be a corner point; All corner points in the contour line are determined, and based on each corner point, the pixel points under two slopes with different slopes are determined to obtain different contour lines.

[0015] Optionally, in a possible implementation manner of the first aspect, extracting target axis coordinates corresponding to each contour line, and synchronizing the target axis coordinates to a white light image acquisition device corresponding to two-dimensional lateral image extraction, includes: Based on the slope of each, the target axis coordinates corresponding to each contour line are obtained, and different slope intervals have preset target axis coordinates; Extract the cabinet coordinates of the cabinet pixel points in the two-dimensional top view, and obtain the coordinate interval of the two-dimensional top view based on the maximum cabinet coordinate and the minimum cabinet coordinate in different coordinate axis directions; The coordinate length ratio of each contour line in the corresponding target axis coordinate direction is obtained, and the target axis coordinates and the coordinate length ratio are synchronized to the white light image acquisition device corresponding to the two-dimensional lateral image extraction.

[0016] Optionally, in a possible implementation manner of the first aspect, the two-dimensional lateral image extracted by the white light image acquisition device based on the two-dimensional lateral image extraction and the target axis coordinates are analyzed and processed to obtain white light contour information of each group of two-dimensional lateral images, and the white light contour information is analyzed to obtain a white light contour result as feature information, including: Extracting the two-dimensional lateral image of each white light image acquisition device and processing it in coordinates, extracting the cabinet coordinates of the cabinet pixel points in the two-dimensional lateral image, and obtaining the coordinate interval of the two-dimensional side view based on the maximum cabinet coordinate and the minimum cabinet coordinate in different coordinate axis directions; Determine the first side extraction line corresponding to the upper edge contour and the second side extraction line corresponding to the lower edge in the corresponding coordinate interval based on the coordinate length ratio and the target axis coordinate; Connecting the starting point of the first side extraction line with the starting point of the second side extraction line, and connecting the end point of the first side extraction line with the end point of the second side extraction line, to obtain white light profile information of each set of two-dimensional side images, wherein each set of white light profile information of the side images has at least one piece of white light profile information; Pixel points corresponding to pixel values ​​of non-to-be-detected batteries in the white light profile information are extracted as feature information, and the feature information of all white light profile information is integrated to obtain the white light profile result.

[0017] Optionally, in a possible implementation of the first aspect, segmenting the infrared image information based on the white light contour result to obtain a segmented infrared image, and obtaining analysis information of the battery to be tested based on infrared images at different time sequences of the segmented infrared image, includes: Each white light image acquisition device has an infrared image acquisition device at a corresponding position, and the resolutions of each corresponding white light image acquisition device and infrared image acquisition device are corresponding; Extracting white light contour coordinates of contour pixel points of the white light contour result of each white light image acquisition device, and extracting corresponding coordinates in the infrared image information based on the white light contour coordinates to obtain a segmented infrared image; After determining that the battery to be tested has passed the test power, the infrared pixel points in each segmented infrared image at different time sequences are obtained; Calculate the average pixel value of all infrared pixels in the segmented infrared image at each time sequence, calculate the difference between each infrared pixel and the average pixel value, and if the number of infrared pixels whose difference is greater than a preset difference is greater than a preset threshold, output analysis information with problems; If the number of infrared pixel points whose difference is greater than the preset difference is less than or equal to the preset threshold number, analysis information without problems is output.

[0018] According to a second aspect of the present invention, a storage medium is provided, in which a computer program is stored. When the computer program is executed by a processor, it is used to implement the method of the first aspect of the present invention and various possible designs of the first aspect.

[0019] The beneficial effects of the present invention are as follows: 1. The present invention can solve the problem of effective management and charging of ordinary hardware version batteries in intelligent fire-fighting battery exchange cabinets, improve the efficiency of battery charging, enhance the functionality of battery exchange cabinets, and realize accurate monitoring and management of battery status. The multimodal acquisition device in the present invention combines white light image and infrared image information, and realizes comprehensive detection of battery status through multi-angle and multi-level image analysis. White light images provide battery external contour features, and infrared images provide battery temperature distribution information. The combination of the two can accurately identify the physical state and thermal state of the battery. Through multimodal analysis, not only can the accuracy of battery identification be improved, but also the safety status and service life of the battery can be effectively judged.

[0020] 2. The present invention can dynamically manage and match the battery power to ensure the safety of the device and the user. In the process of battery charging, the present invention obtains the real-time power properties of the battery and the generated voltage data, combines the cell characteristic data, and implements dynamic power matching and compensation. This method can flexibly adjust the charging strategy according to the actual state of the battery to ensure that the battery is always in the best charging state, extend the battery life, and improve the charging efficiency. In addition, dynamic matching can also prevent overcharging or undercharging problems caused by changes in battery status, ensuring the safety of the device and the user.

[0021] 3. The present invention realizes real-time monitoring and display of charging and environmental data through SAAS platform and APP. Users can not only directly view the battery status and charging process through APP, but also receive intelligent operation suggestions from the system. When an abnormal situation is detected, the present invention can automatically remind the user to make necessary operation adjustments or repeat the replacement operation, and provide detailed guidance steps. This intelligent management and humanized user interaction design significantly improves the user experience, and also greatly improves the safety and reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A flow chart of a battery charging and replacing method for a battery replacement cabinet applicable to fire hazard identification and processing provided by the present invention; Figure 2 A schematic diagram of the structure of a battery charging and battery swapping method for a battery swap cabinet provided by the present invention; Figure 3 A flow chart of battery identification in a battery swap cabinet provided by the present invention. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in sequences other than those illustrated or described herein.

[0025] It should be understood that in various embodiments of the present invention, the size of the sequence number of each process does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0026] It should be understood that in the present invention, "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0027] It should be understood that in the present invention, "plurality" refers to two or more than two. "And / or" is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "Contains A, B and C", "Contains A, B, C" means that A, B, and C are all included, "Contains A, B or C" means that one of A, B, and C is included, and "Contains A, B and / or C" means that any one, any two, or any three of A, B, and C are included.

[0028] It should be understood that in the present invention, "B corresponding to A", "B corresponding to A", "A corresponds to B" or "B corresponds to A" means that B is associated with A and B can be determined based on A. Determining B based on A does not mean determining B based only on A, but B can also be determined based on A and / or other information. A and B match when the similarity between A and B is greater than or equal to a preset threshold.

[0029] Depending on the context, "if" as used herein may be interpreted as "when" or "when" or "in response to determining" or "in response to detecting."

[0030] The technical solution of the present invention is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0031] like Figure 1 As shown, the present invention provides a battery charging and replacing method for a battery replacement cabinet suitable for fire hazard identification and processing, comprising: S1, after determining that the door of the battery swap cabinet is closed, the battery status is identified and processed based on the sensing device inside the closed door.

[0032] It should be noted that traditional battery swap cabinets mainly use proprietary communication batteries. Ordinary hardware version batteries cannot be effectively managed and charged in intelligent fire protection battery swap cabinets, cannot accurately detect battery status, and cannot dynamically adjust charging strategies. Therefore, the batteries stored in the battery swap cabinet can be identified and monitored to improve the efficiency and safety of ordinary hardware version batteries in the battery swap cabinet.

[0033] It can be understood that after it is determined that the door of the battery swap cabinet is closed, the battery status can be identified by the sensing device in the battery swap cabinet to realize battery detection.

[0034] Among them, the sensing device is a device that senses whether there is a battery stored. For example, a pressure switch, magnetic induction, infrared induction and other methods can be used to detect whether there is a battery in the compartment.

[0035] S2: If it is determined that there is a battery to be charged, the power attribute information of the battery to be charged is obtained, and corresponding voltage data is generated based on the power attribute information.

[0036] It is understandable that when it is determined that there is a battery to be charged in the battery swap cabinet, the electrical energy property information of the battery to be charged can be obtained so as to generate corresponding voltage data according to the electrical energy property information of the battery to be charged.

[0037] The battery to be charged is a battery that needs to be charged, the power attribute information is the power information corresponding to the battery, such as voltage, power and other related information, and the voltage data is information showing the battery voltage.

[0038] In some embodiments, the specific implementation of step S2 (if it is determined that there is a battery to be charged, the power attribute information of the battery to be charged is obtained, and the corresponding voltage data is generated based on the power attribute information) includes: S21, if it is determined that there is a battery to be charged, the QR code and feature information of the battery to be charged are obtained.

[0039] It can be understood that when it is determined that a battery to be charged is needed in the battery swap cabinet, in order to prevent the intact battery from being replaced with a damaged battery after detection, which may cause a battery charging accident, the QR code and characteristic information of the battery to be charged can be obtained so that it can be identified based on the QR code and characteristic information, and the battery to be charged can be positioned and monitored.

[0040] The characteristic information is the display information corresponding to the battery to be charged, which may be text, numbers, protrusions or depressions corresponding to the surface.

[0041] S22: If the two-dimensional code and characteristic information of the battery to be charged correspond to the characteristic information and two-dimensional code of the battery to be detected that are stored in advance, generate corresponding voltage data based on the electric energy attribute information.

[0042] It is understandable that the acquired QR code and characteristic information of the battery to be charged are compared and identified with the pre-stored QR code and characteristic information, thereby generating corresponding voltage data so that the battery can be subsequently charged or replaced according to the voltage information.

[0043] The battery to be tested is a stored battery that needs to be tested.

[0044] S3, generating a unique battery number based on the cabinet control number and the compartment number of the closed cabinet door, and matching the unique battery number with the battery to be charged this time.

[0045] It can be understood that the cabinet control number is the automatic control number of the battery swap cabinet, the grid number is the area number for storing battery detection after division in the battery swap cabinet, and the unique battery number is the unique number corresponding to the battery. The corresponding generated unique battery number is matched one-to-one with the battery to be charged currently, so that the battery this time has its corresponding identification number for subsequent positioning and identification.

[0046] S4, based on the voltage data and the cell characteristic data, dynamically match and dynamically compensate the power of the battery to be charged to obtain dynamic charging data.

[0047] It can be understood that the battery cell is the core component of the battery, and the stability of its results directly determines the cycle life and safety performance of the battery. Furthermore, the battery cell characteristic data is the performance data corresponding to the battery cell, which may include the battery cell's capacity, energy density, and charging information, etc.

[0048] Among them, dynamic compensation can improve the dynamic characteristics of the power system and enhance the stability and reliability of the system. Its main function is to monitor and adjust the system status in real time to cope with the impact of load changes, faults or other disturbances to ensure the normal operation of the equipment. The dynamic charging data is the electric energy data obtained in real time by the battery through dynamic matching and dynamic compensation during the charging process, such as the real-time corresponding charging power during the charging process.

[0049] It is not difficult to understand that according to the voltage data and battery cell characteristic data, the rechargeable batteries are dynamically matched to achieve dynamic matching of power and achieve high-precision display. At the same time, dynamic charging data is obtained through dynamic compensation to solve the voltage fluctuation problem during charging, ensuring the efficiency and safety of the charging process.

[0050] S5, after sending the dynamic charging data and the environmental data inside the cabinet door to the SAAS platform, it is displayed based on the APP and controls other cabinet doors that meet the requirements to open for replacing new batteries.

[0051] It is understandable that since the different environments in the battery swap cabinet will affect the charging safety, service life, etc. of the battery, the environmental data inside the cabinet door, such as temperature, can be obtained, so that the environmental data and the obtained dynamic charging data can be sent to the SAAS platform so that they can be displayed on the corresponding APP, so as to realize real-time monitoring of the battery to be recharged and improve battery charging safety.

[0052] At the same time, other cabinet doors that meet the requirements can also be controlled to open, such as opening the cabinet door whose battery is fully charged so that a new battery can be replaced for testing and charging.

[0053] It is worth mentioning that Figure 2 As shown, the battery identification module corresponding to the battery swap cabinet can detect whether there is a battery placed in the battery swap cabinet, and can obtain the corresponding identification information, and the relevant charging and swapping modules can perform charging and swapping operations on the battery. Among them, the data monitoring and optimization module can realize real-time monitoring of the battery and environmental data in the battery swap cabinet, and then the corresponding dynamic charging data in the battery swap cabinet and the environmental data inside the cabinet door can be sent to the SAAS platform. Based on the APP display, real-time monitoring and display of charging and environmental data can be realized. Through the joint action of multiple modules, battery detection and charging can be realized, and personnel can view the battery information in the battery swap cabinet in real time.

[0054] like Figure 3 As shown, the process of the battery identification judgment method of the battery swap cabinet is as follows. After the battery is placed in the battery swap cabinet, the battery charging cable will be plugged in first for subsequent detection. Therefore, in some embodiments, it also includes: A1, if it is determined that the sensing device identifies the battery status as not having a battery to be charged, then the state of the pressure switch is obtained, and the pressure switch is in contact with the battery to be charged for detecting the battery to be charged.

[0055] It should be noted that when judging whether there are batteries to be charged stored in the battery exchange cabinet, not only does the sensing device sense and judge the battery, but when the sensing device does not recognize it, the pressure switch status can also be obtained to determine whether there are batteries to be charged through the pressure switch.

[0056] It can be understood that when the sensing device does not recognize the battery, the pressure switch status can be obtained, so that when the indicator light corresponding to the pressure switch is on, it means that the corresponding pressure switch senses the presence of the battery, and the charging device can be activated to charge the battery to be charged, ensuring the normal charging process of the battery.

[0057] A2, if it is determined that the indicator light of the pressure switch is in the on state, after activating charging and identifying the battery, a unique battery number is generated based on the cabinet control number and the compartment number of the closed cabinet door.

[0058] It can be understood that when it is determined that the indicator light of the pressure switch is in the on state, the charging function can be activated and when the battery is identified, a unique battery number can be generated based on the cabinet control number and grid number of the closed cabinet door, and the corresponding unique battery number can be assigned to the corresponding battery to be charged.

[0059] In some embodiments, it also includes: B1, if it is determined that the indicator light of the pressure switch is in the off state or charging cannot be activated, the staff is reminded to repeat the battery replacement operation based on the battery replacement cabinet and / or APP.

[0060] It is understandable that when it is determined that the indicator light of the pressure switch is in the off state or charging cannot be activated, the staff can be reminded to repeat the battery replacement operation according to the battery replacement cabinet and / or APP. For example, the battery to be charged can be put back in and the battery can be plugged in and out to determine the status of the battery. If it still cannot be identified, it means that the corresponding battery has a fault, so the staff can be contacted through the APP for processing.

[0061] B2. After receiving the secondary placement information input by the staff based on the battery swap cabinet and / or APP, the cabinet control number and grid number of the corresponding battery swap cabinet are uploaded to the background server based on the APP.

[0062] It can be understood that after receiving the secondary placement information entered by the staff, the cabinet control number and grid number of the corresponding battery swap cabinet can be uploaded to the server through the APP, so that the server can identify and record the corresponding battery to be charged.

[0063] It should be noted that some batteries may be damaged due to long-term use or improper use. Therefore, when the damaged battery is placed in the battery exchange cabinet for charging, it may explode due to uneven heating during the charging process. Therefore, it is necessary to check the battery first before placing it in the charging cabinet for charging. Therefore, in some embodiments, it also includes: C1, the battery exchange cabinet includes a battery detection port. After determining that the user inputs a battery detection instruction, the cabinet door corresponding to the battery detection port is controlled to open. After determining that a battery to be detected is placed in the battery detection port and the cabinet door is closed, the multimodal acquisition device is started.

[0064] It is understandable that when the user needs to perform an initial test on the battery, he can input a battery test command to control the door of the battery test port corresponding to the battery exchange cabinet to open, and then determine that the battery to be tested is placed in the electromagnetic detection port and the cabinet door is closed. Then, the multimodal acquisition device can be started to perform multimodal detection on the battery to be tested.

[0065] Among them, the battery detection port is a cabinet port for initial battery detection, the battery detection instruction is the instruction information for battery detection, the battery to be detected is a battery that requires multi-modal detection, and the multi-modal acquisition device is an acquisition device for multi-modal detection, which can be a camera.

[0066] C2, acquiring multimodal information of the battery to be detected based on a multimodal acquisition device, and analyzing and processing the multimodal information to obtain analysis information of the battery to be detected.

[0067] It can be understood that the multimodal information is information about various factors corresponding to the battery to be tested, such as battery color, text, surface convexity and concave shape, and the heating conditions during the charging process.

[0068] It is not difficult to understand that the analysis information of the battery to be tested is obtained by analyzing the multimodal information, so as to determine the safety of the corresponding battery to be tested in the subsequent charging process.

[0069] The analysis information is the information result obtained after analyzing and processing the multimodal information.

[0070] In some embodiments, the specific implementation of step C2 (obtaining multimodal information of the battery to be detected based on the multimodal acquisition device, and analyzing and processing the multimodal information to obtain analysis information of the battery to be detected) includes: C21, the multimodal acquisition device includes a white light image acquisition device and an infrared image acquisition device.

[0071] It can be understood that white light images can be captured by the white light image acquisition device, so that the characteristic information on the corresponding surface of the battery to be tested can be identified based on the white light image, which is convenient for comparison and confirmation. At the same time, the red light image acquisition device can be used to capture infrared images of the battery charging process, so that the internal working conditions of the battery can be analyzed based on the infrared image, so that damaged batteries caused by uneven heating during charging can be eliminated in time, thereby improving the safety of subsequent battery charging.

[0072] Among them, the white light image acquisition device is a device for acquiring images under white light, such as a white light camera, and the infrared image acquisition device is a device that can acquire infrared images, such as an infrared camera.

[0073] It is not difficult to understand that the corresponding multimodal acquisition devices can be installed on the top layer and around the cabinet to collect images of the batteries to be tested in all directions, thereby obtaining accurate multimodal information for analysis and improving the accuracy of the analysis information.

[0074] C22, extracting the contour of the battery to be inspected based on the white light image acquisition device in different directions in the cabinet to obtain corresponding white light contour information, and analyzing the white light contour information to obtain a white light contour result as feature information.

[0075] It can be understood that the white light image acquisition device in different directions in the cabinet is used to collect the batteries to be inspected, and the corresponding battery contours are extracted to obtain white light contour information corresponding to each direction, so as to analyze the white light contour information and obtain white light contour results as feature information.

[0076] In some embodiments, the specific implementation of step C22 (the white light image acquisition device based on different directions in the cabinet extracts the contour of the battery to be detected, obtains the corresponding white light contour information, and analyzes the white light contour information to obtain the white light contour result as the feature information) includes: C221, obtaining a two-dimensional top view captured by a white light image acquisition device located at the upper part of the cabinet, analyzing the pixel points in the acquired two-dimensional top view, and obtaining contour lines in different directions.

[0077] It should be noted that since the position of the battery to be tested may deviate, for example, the placement angle may be offset, and thus the image captured by the camera deviates from the image corresponding to the standard placement position, the two-dimensional image captured by the battery can be analyzed according to the multi-directional white light image acquisition device to obtain contour lines corresponding to different directions, so that the image of the side of the battery can be further analyzed according to the contour lines and segmented to subsequently determine accurate feature information.

[0078] It can be understood that the two-dimensional top view is a two-dimensional image of the battery captured by the white light image acquisition device located on the top of the cabinet, and the contour line is the contour boundary line of the corresponding battery image in the two-dimensional top view.

[0079] In some embodiments, the specific implementation of step C221 (obtaining a two-dimensional top view acquired by a white light image acquisition device located at the upper part of the cabinet, and analyzing the pixel points in the acquired two-dimensional top view to obtain contour lines in different directions) includes: C2211, determine the pixel points with pixel values ​​corresponding to the battery to be detected in the two-dimensional top view as battery pixel points, and determine the pixel points with pixel values ​​corresponding to the color inside the cabinet in the two-dimensional top view as cabinet pixel points.

[0080] It can be understood that the battery pixel points are pixel points with pixel values ​​corresponding to the battery to be detected, and the cabinet pixel points are pixel points with pixel values ​​corresponding to the color inside the cabinet.

[0081] It is not difficult to understand that in order to facilitate the identification and detection of the battery to be tested, the pixel values ​​inside the battery swap cabinet are distinguished from the pixel values ​​corresponding to the battery, that is, the unified color inside the battery swap cabinet can be blue, red, etc., so as to distinguish it from the pixel values ​​of the battery.

[0082] C2212, coordinate processing is performed on the two-dimensional top view to obtain a first coordinate system, the battery coordinates of the battery pixel points adjacent to the cabinet coordinates of the cabinet pixel points are determined, and the battery pixel points corresponding to the determined battery coordinates are used as contour pixel points.

[0083] It can be understood that the first coordinate system is a coordinate system in a two-dimensional top view, the cabinet coordinates are coordinates corresponding to cabinet pixels, and the battery coordinates are coordinates corresponding to battery pixels.

[0084] It is not difficult to understand that when the battery placement angle deviates, when the white light image acquisition device located on the left side of the cabinet acquires an image of the battery to be inspected, the acquired image will include an image of the left side of the battery and may also include an image of the front of the cabinet door. Therefore, it is necessary to determine the battery coordinates adjacent to the cabinet coordinates in order to obtain the corresponding contour pixel points, so as to facilitate the subsequent determination of contour lines in different directions and the subsequent segmentation of the two-dimensional lateral image.

[0085] Among them, the outline pixel points are battery pixel points adjacent to the cabinet pixel points.

[0086] C2213, determine the adjacent contour pixel points among all contour pixel points, obtain the slopes between all two adjacent pixel points, and obtain contour lines in different directions based on the slope analysis between all two adjacent pixel points.

[0087] It can be understood that a straight line can be determined between two points, and then the corresponding slope can be obtained through adjacent pixel points. Moreover, when the slopes determined by two adjacent pixel points on the same straight line are the same, the slopes of two adjacent pixel points that are not on the same direction straight line will be different from other slopes. Therefore, the contour lines corresponding to different directions can be distinguished according to the slope between two adjacent pixel points, so as to subsequently identify the segmentation feature information of the side image according to the contour lines in each direction.

[0088] In some embodiments, the specific implementation of step C2213 (determining adjacent contour pixel points among all contour pixel points, obtaining the slope between all adjacent two pixel points, and obtaining contour lines in different directions based on the slope analysis between all adjacent two pixel points) includes: C22131, if it is determined that the slope between a pixel point and two other adjacent pixel points is the same, then the corresponding pixel point is determined to be a non-corner point.

[0089] It can be understood that when the slopes between one contour pixel point and two adjacent contour pixel points are the same, it can be explained that the contour pixel point and the two adjacent contour pixel points are currently located on the same straight line, and the corresponding pixel point is determined to be a non-corner point.

[0090] Among them, the non-corner points are pixel points that are not at the corners of the battery image contour.

[0091] C22132: If it is determined that the slope between a pixel point and two other adjacent pixel points is different, and the absolute value of the difference between the two slopes is greater than or equal to a first preset value, the corresponding pixel point is determined to be a corner point.

[0092] It can be understood that the first preset value is a preset value, and the corner point is a pixel point at the corner of the contour boundary line.

[0093] It is not difficult to understand that when it is determined that the slope between a pixel point and the other two adjacent pixel points is different, and the absolute value of the difference between the two slopes is greater than or equal to the first preset value, it can be explained that the current pixel point can determine the straight lines corresponding to different directions with the two adjacent pixel points respectively. Therefore, the corresponding pixel point can be determined as a corner point, so that contour lines in different directions can be obtained subsequently based on the corner point.

[0094] C22133, determine all corner points in the contour line, and based on each corner point, determine the pixel points under two lines with different slopes to obtain different contour lines.

[0095] It can be understood that all the corresponding corner points in all the contour lines are determined, and the corresponding contour pixel points on each oblique line can be determined based on the two oblique lines with different slopes at each corner point, so that the contour lines composed of corresponding contour pixel points can be obtained, so that the corresponding target axis coordinates can be subsequently determined through contour lines in different directions, thereby facilitating the subsequent analysis of the collected images.

[0096] C222, extracting the target axis coordinates corresponding to each contour line, and synchronizing the target axis coordinates to a white light image acquisition device corresponding to the two-dimensional lateral image extraction.

[0097] It can be understood that the target axis coordinates are the coordinates corresponding to each contour line, such as the position point coordinates corresponding to the X-axis and the Y-axis, so that the target axis coordinates corresponding to each contour line can be updated to the white light image acquisition device corresponding to the two-dimensional lateral image. For example, the target axis corresponding to the contour line on the left is synchronized to the white light image acquisition device located on the left side of the cabinet, and the target axis corresponding to the contour line on the right is synchronized to the white light image acquisition device located on the right side of the cabinet, etc.

[0098] The two-dimensional lateral image is a two-dimensional image captured by a white light image acquisition device located on the inner side of the cabinet.

[0099] In some embodiments, the specific implementation of step C222 (the step of extracting the target axis coordinates corresponding to each contour line, and synchronizing the target axis coordinates to the white light image acquisition device corresponding to the two-dimensional lateral image extraction) includes: C2221, based on the slope of each, the target axis coordinates corresponding to each contour line are obtained, and different slope intervals have preset target axis coordinates.

[0100] It should be noted that the target axis coordinates of the corresponding contour lines in the two-dimensional side views corresponding to different directions are different. According to the slope value, the contour lines are assigned to different preset slope intervals. Each interval corresponds to a specific target axis coordinate. Different slope intervals reflect the distribution characteristics of the contour lines in different spatial directions.

[0101] It is not difficult to understand that by synchronizing the coordinate data under different views to the white light image acquisition device, comprehensive detection and analysis of the target from multiple angles is ensured.

[0102] C2222, extract the cabinet coordinates of the cabinet pixel points in the two-dimensional top view, and obtain the coordinate range of the two-dimensional top view based on the maximum cabinet coordinate and the minimum cabinet coordinate in different coordinate axis directions.

[0103] It can be understood that the pixel points of the cabinet are extracted from the two-dimensional top view to obtain the cabinet coordinates in the image, the maximum and minimum values ​​of the cabinet coordinates in different coordinate axis directions are found, and the coordinate interval between these maximum and minimum values ​​is calculated to determine the specific range of coordinates corresponding to the battery image to be detected in the two-dimensional top view.

[0104] Through the above implementation, the coordinate interval corresponding to each contour line can be obtained, so that the length ratio in the corresponding direction can be determined according to the coordinate interval, and the two-dimensional lateral image can be further divided.

[0105] C2223, obtain the coordinate length ratio of each contour line in the corresponding target axis coordinate direction, and synchronize the target axis coordinates and coordinate length ratio to the white light image acquisition device for corresponding two-dimensional lateral image extraction.

[0106] It should be noted that since the coordinate points of the battery contour corresponding to different directions are different, for example, the number of pixel points of the contour edge in the top view corresponds to 100, and the number of pixel points in the side view corresponds to 200, the lengths of the corresponding coordinate axes are different, and then the calculation is performed by using the proportion of the coordinate length, so that the subsequent calculated results are more accurate.

[0107] It can be understood that the coordinate length ratio is the ratio of the length of the contour line in the corresponding target axis coordinate direction, for example, the ratio of the left contour line to the left image boundary line.

[0108] It is not difficult to understand that the coordinate length of each contour line in the target axis coordinate direction is obtained, the proportion of the coordinate length in the overall target axis coordinate range is calculated, and the coordinate length ratio is obtained. Thus, the obtained target axis coordinates and coordinate length ratio can be synchronized to the white light image acquisition device related to the two-dimensional lateral image extraction. Through data synchronization, the subsequent data at different viewing angles can be analyzed and processed in a unified coordinate system.

[0109] It is worth mentioning that the use of slope interval and coordinate length ratio can achieve precise positioning and management of target axis coordinates, improve the accuracy of image processing, maintain data consistency and comparability in multiple views, and enhance the system's integration and analysis capabilities.

[0110] C223, based on the two-dimensional lateral image extracted by the white light image acquisition device for two-dimensional lateral image extraction, the two-dimensional lateral image and the target axis coordinates are analyzed and processed to obtain white light contour information of each group of two-dimensional lateral images, and the white light contour information is analyzed to obtain a white light contour result as feature information.

[0111] It can be understood that the collected two-dimensional lateral image is analyzed and processed according to the synchronized target axis coordinates, and the position of each contour line in the image is accurately located under the guidance of the target axis coordinates. The extracted white light contour information is deeply analyzed to identify key features, and the feature information obtained from the analysis is integrated into the final white light contour result. The white light contour result includes not only the shape of the battery to be tested, but also the text information on the battery surface, the concave and convex state, etc.

[0112] It is not difficult to understand that through multi-step extraction and analysis, high-precision recognition of white light contour information is ensured, and the generated white light contour results contain rich feature information, providing more comprehensive judgment and recognition information for subsequent applications.

[0113] In some embodiments, the specific implementation of step C223 (analyzing and processing the two-dimensional lateral images extracted by the white light image acquisition device based on the two-dimensional lateral image extraction, and the target axis coordinates to obtain white light profile information of each group of two-dimensional lateral images, and analyzing the white light profile information to obtain a white light profile result as feature information) includes: C2231, extract the two-dimensional lateral image of each white light image acquisition device and coordinate it, extract the cabinet coordinates of the cabinet pixel points in the two-dimensional lateral image, and obtain the coordinate range of the two-dimensional side view based on the maximum cabinet coordinate and the minimum cabinet coordinate in different coordinate axis directions.

[0114] It can be understood that each two-dimensional lateral image is extracted from the white light image acquisition device, and the image is coordinate-processed, the pixel points of the cabinet in the image are extracted, and the cabinet coordinates corresponding to each pixel point are determined. By analyzing the maximum and minimum cabinet coordinates in different coordinate axis directions, the coordinate range of the two-dimensional side view is determined, which provides the necessary framework for subsequent coordinate processing.

[0115] C2232, based on the coordinate length ratio and the target axis coordinates, determines the first side extraction line corresponding to the upper edge contour and the second side extraction line corresponding to the lower edge in the corresponding coordinate interval.

[0116] It can be understood that the upper edge and the lower edge within the corresponding coordinate interval are determined by utilizing the coordinate length ratio and the target axis coordinates, and the first side extraction line located at the upper edge contour and the second side extraction line located at the lower edge are extracted. These extraction lines constitute the basis of the contour, so that the corresponding battery contour can be subsequently determined through the first side extraction line and the second side extraction line.

[0117] The first side surface extraction line is a boundary line corresponding to the upper edge contour, and the second side surface extraction line is a boundary line corresponding to the lower edge.

[0118] C2233, connect the starting point of the first side extraction line with the starting point of the second side extraction line, and connect the end point of the first side extraction line with the end point of the second side extraction line to obtain white light contour information of each group of two-dimensional side images, and each group of white light contour information of the side images has at least one white light contour information.

[0119] It can be understood that the starting point of the first side extraction line is connected with the starting point of the second side extraction line, and the end point of the first side extraction line is connected with the end point of the second side extraction line. This connection process forms complete white light contour information for each group of two-dimensional side images, providing a clear visual reference for subsequent analysis, and each group of side images contains at least one white light contour information with complete features.

[0120] It is not difficult to understand that when the placement position of the battery to be tested is standard, the white light contour in each lateral image is the contour of the corresponding surface of the battery. When the placement position of the battery to be tested deviates, there will be multiple contour surfaces collected in the corresponding lateral image. Therefore, each group of white light contour information of the lateral images has at least one white light contour information.

[0121] C2234, extracting pixel points corresponding to pixel values ​​of non-to-be-detected batteries in the white light profile information as feature information, and synthesizing the feature information of all white light profile information to obtain a white light profile result.

[0122] It can be understood that pixel points corresponding to pixel values ​​of non-batteries to be detected are extracted from the white light contour information. For example, when the pixel points of the battery to be detected are yellow, when scratches appear on the battery surface, the silver material of the corresponding battery is exposed. Then, these pixel points represent the unique characteristic information of the battery to be detected as feature information, which is convenient for subsequent determination of the corresponding battery based on the feature information. By comprehensively analyzing the feature information of all white light contour information, the final white light contour result is generated. This result integrates multi-dimensional information and can effectively support subsequent analysis and identification and monitoring during the charging process.

[0123] Through the above implementation, the present invention can utilize a multi-step analysis process to achieve automatic extraction and integration of feature information, thereby improving information processing efficiency.

[0124] C23, based on the infrared image acquisition devices in different directions inside the cabinet, the infrared images of the batteries to be inspected are extracted to obtain corresponding infrared image information.

[0125] It can be understood that according to the infrared image acquisition devices in different directions in the cabinet, infrared images of the batteries to be inspected are extracted so as to obtain infrared image information of the batteries in different angles and directions, providing a multi-dimensional perspective for subsequent analysis.

[0126] The infrared image is collected by an infrared image collection device, wherein the infrared image collection device has a white light image collection device corresponding to the infrared image collection device.

[0127] It is not difficult to understand that during the extraction process, the images captured by each infrared image acquisition device are processed to extract corresponding infrared image information, which includes characteristics such as temperature distribution, which can be used to evaluate the health status and functional integrity of the battery.

[0128] C24, based on the white light contour result, the infrared image information is segmented to obtain a segmented infrared image, and the analysis information of the battery to be tested is obtained based on the infrared images at different time sequences of the segmented infrared image.

[0129] It can be understood that the segmented infrared image is an image obtained by segmenting the infrared image according to the white light contour result, so as to accurately determine the heating condition inside the corresponding battery later, thereby determining the test result of the battery to be tested in a timely and accurate manner.

[0130] It is not difficult to understand that the infrared image information is segmented using the previously generated white light contour results. In this step, the white light contour provides a reference framework for accurately positioning and segmenting the infrared image, ensuring that only the infrared data related to the target battery is analyzed. At the same time, according to the segmented infrared images at different time sequences, the relevant information of the battery to be tested is extracted and analyzed. This analysis can include multi-time sequence heat map comparison to detect temperature changes or abnormal hotspots. Through time sequence analysis, abnormal behavior or potential failures that may exist in the battery during charging can be identified.

[0131] Through the above implementation method, combined with the results of white light profiling, the infrared information of the target battery can be accurately segmented, thereby improving the accuracy of the analysis. The data of multi-directional infrared images is used to provide a more comprehensive and in-depth battery status assessment. Timing analysis helps to detect potential battery problems at an early stage, providing a strong basis for maintenance and replacement.

[0132] In some embodiments, the specific implementation of step C24 (segmenting the infrared image information based on the white light contour result to obtain a segmented infrared image, and obtaining analysis information of the battery to be tested based on the infrared images at different time sequences of the segmented infrared image) includes: C241, each white light image acquisition device has an infrared image acquisition device at a corresponding position, and the resolutions of each corresponding white light image acquisition device and infrared image acquisition device are corresponding.

[0133] It is understandable that each white light image acquisition device is paired with an infrared image acquisition device at a corresponding position, and the corresponding white light and infrared image acquisition devices have matching resolutions to ensure a one-to-one correspondence between the images in space.

[0134] C242, extracting white light contour coordinates of contour pixel points of the white light contour result of each white light image acquisition device, and extracting corresponding coordinates in the infrared image information based on the white light contour coordinates to obtain a segmented infrared image.

[0135] It can be understood that the contour pixel points in the white light contour results of each white light image acquisition device are extracted to obtain their white light contour coordinates, and the corresponding coordinates are extracted from the infrared image information based on the white light contour coordinates. The segmented infrared image obtained in this way only contains the part corresponding to the white light contour, ensuring the accuracy of the analysis.

[0136] The white light contour coordinates are the coordinates of the corresponding contour pixel points in the white light contour result.

[0137] C243, after determining that the battery to be detected has passed the detection power, obtains the infrared pixel points in each segmented infrared image at different time sequences.

[0138] It can be understood that after the battery is powered on and tested, infrared pixel points in each segmented infrared image at different time sequences are obtained, and these time sequence data provide a dynamic perspective for subsequent analysis.

[0139] For example, the power can be turned on for one minute, so that the infrared pixel points in different segmented infrared images within one minute can be compared to determine the heating conditions inside the battery and judge whether there is any charging abnormality.

[0140] C244, calculates the average pixel value of all infrared pixels in the segmented infrared image at each time sequence, calculates the difference between each infrared pixel and the average pixel value, and if the number of infrared pixels whose difference is greater than the preset difference is greater than the preset threshold number, outputs analysis information with problems.

[0141] It can be understood that the average pixel value is the average value of the pixel values ​​corresponding to the infrared pixel points, and the difference between the pixel value corresponding to the infrared pixel point and the average pixel value is calculated. When the number of infrared pixel points whose difference is greater than the preset difference is greater than the preset threshold, it can indicate that the battery has abnormal internal heating during the charging process, such as uneven heating, which causes uneven pixel values ​​of the infrared pixels. Therefore, analysis information with problems can be output so that the corresponding batteries can be distinguished later to ensure the safety of the batteries in the battery swap cabinet during the charging process.

[0142] The preset difference is a difference between preset pixel values, which may be preset manually, and the preset threshold is a threshold for determining whether the number of infrared pixels is abnormal, which may be preset manually.

[0143] It is not difficult to understand that by ensuring the accuracy of the segmented infrared image through precise coordinate correspondence and resolution matching, the use of multi-time series data can detect abnormal thermal features that change over time, and automatically output problem analysis information based on the calculated threshold judgment, thereby improving detection efficiency.

[0144] C245, if the number of infrared pixel points whose difference is greater than the preset difference is less than or equal to the preset threshold number, output analysis information without problems.

[0145] It can be understood that if the number of infrared pixels whose difference is greater than the preset value is less than or equal to the preset threshold, it means that the infrared image is within the normal range, there is no significant abnormality, and the output has no problematic analysis information, indicating that the battery is in a normal charging state.

[0146] C3, if the analysis information meets the requirements, a QR code is generated and attached to the battery to be tested based on a robot arm, and characteristic information of the battery to be tested is extracted and stored together with the QR code.

[0147] It is understandable that when the analysis information meets the requirements, it can be said that the battery performs normally in the test and there is no abnormal charging. Then the corresponding QR code can be generated, and the robot in the battery swap cabinet can automatically and accurately paste the generated QR code on the surface of the battery to be tested. Using a robot for pasting can improve the efficiency and accuracy of the production line, reduce errors in human operation, and merge the identified characteristic information of the battery to be tested with the generated QR code data and store it in a centralized database. This allows each battery to have a complete data information record, which is convenient for subsequent traceability and management.

[0148] It is not difficult to understand that the use of QR codes can achieve fast and accurate product traceability, especially when the battery is charging, the characteristic information corresponding to the battery can be quickly located, and the combined stored data information provides companies with better information management methods, which is convenient for subsequent positioning and identification of the battery. The use of robotic arms to attach QR codes realizes a high degree of automation in the production process, improves production efficiency, and reduces potential manual errors during operation.

[0149] The present invention also provides a storage medium, in which a computer program is stored. When the computer program is executed by a processor, it is used to implement the methods provided by the various embodiments described above.

[0150] Among them, the storage medium can be a computer storage medium or a communication medium. The communication medium includes any medium that facilitates the transmission of a computer program from one place to another. The computer storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer. For example, the storage medium is coupled to the processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an application-specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). In addition, the ASIC can be located in a user device. Of course, the processor and the storage medium can also exist in a communication device as discrete components. The storage medium can be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0151] The present invention also provides a program product, which includes an execution instruction, which is stored in a storage medium. At least one processor of a device can read the execution instruction from the storage medium, and at least one processor executes the execution instruction so that the device implements the methods provided in the above various embodiments.

[0152] In the above-mentioned terminal or server embodiments, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the present invention may be directly implemented as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.

[0153] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A battery charging and replacing method for a battery replacement cabinet suitable for fire hazard identification and treatment, characterized in that: include: After determining that the door of the battery swap cabinet is closed, the battery status is identified and processed based on the sensing device in the closed door; If it is determined that there is a battery to be charged, then obtaining the power attribute information of the battery to be charged, and generating corresponding voltage data based on the power attribute information; Generate a unique battery number based on the cabinet control number and the compartment number of the closed cabinet door, and match the unique battery number with the battery to be charged in this charging; Based on the voltage data and cell characteristic data, the dynamic charging data is obtained by dynamically matching and dynamically compensating the power of the rechargeable battery; The dynamic charging data and the environmental data inside the cabinet door are sent to the SAAS platform and displayed based on the APP, and other cabinet doors that meet the requirements are controlled to open for battery replacement.

2. The battery charging and replacing method according to claim 1, characterized in that: Also includes: If the battery status is determined by the sensing device to be absent, the state of the pressure switch is obtained, and the pressure switch is in contact with the battery to be charged to detect the battery to be charged; If it is determined that the indicator light of the pressure switch is in the on state, after activating charging and identifying the battery, a unique battery number is generated based on the cabinet control number and the compartment number of the closed cabinet door.

3. The battery charging and replacing method according to claim 2, characterized in that: Also includes: If it is determined that the indicator light of the pressure switch is off or charging cannot be activated, the staff will be reminded to repeat the battery replacement operation based on the battery replacement cabinet and / or APP; After the secondary placement information input by the staff is received based on the battery swap cabinet and / or APP, the cabinet control number and grid number of the corresponding battery swap cabinet are uploaded to the background server based on the APP.

4. The battery charging and replacing method according to claim 1, characterized in that: Also includes: The battery exchange cabinet includes a battery detection port, and controls the cabinet door corresponding to the battery detection port to open after judging that the user inputs a battery detection instruction, and starts the multi-modal acquisition device after judging that a battery to be detected is placed in the battery detection port and the cabinet door is closed; Acquiring multimodal information of the battery to be detected based on a multimodal acquisition device, and analyzing and processing the multimodal information to obtain analysis information of the battery to be detected; If the analysis information meets the requirements, a two-dimensional code is generated and attached to the battery to be tested based on a robot arm, and the characteristic information of the battery to be tested is extracted and combined with the two-dimensional code for storage.

5. The battery charging and replacing method according to claim 4, characterized in that: If it is determined that there is a battery to be charged, then obtaining the power attribute information of the battery to be charged, and generating corresponding voltage data based on the power attribute information, including: If it is determined that there is a battery to be charged, obtaining the QR code and characteristic information of the battery to be charged; If the two-dimensional code and characteristic information of the battery to be charged correspond to the characteristic information and two-dimensional code of the battery to be detected that are stored in advance, corresponding voltage data is generated based on the electric energy attribute information.

6. The battery charging and replacing method according to claim 4, characterized in that: The method of acquiring multimodal information of the battery to be detected based on the multimodal acquisition device and analyzing and processing the multimodal information to obtain analysis information of the battery to be detected includes: The multimodal acquisition device includes a white light image acquisition device and an infrared image acquisition device; The white light image acquisition device based on different directions in the cabinet extracts the contour of the battery to be detected, obtains the corresponding white light contour information, and analyzes the white light contour information to obtain the white light contour result as the feature information; The infrared image acquisition device based on different directions in the cabinet extracts the infrared image of the battery to be tested and obtains the corresponding infrared image information; The infrared image information is segmented based on the white light contour result to obtain a segmented infrared image, and the analysis information of the battery to be tested is obtained based on the infrared images at different time sequences of the segmented infrared image.

7. The battery charging and replacing method according to claim 6, characterized in that: The white light image acquisition device based on different directions in the cabinet extracts the contour of the battery to be detected to obtain corresponding white light contour information, and analyzes the white light contour information to obtain a white light contour result as feature information, including: Acquire a two-dimensional top view acquired by a white light image acquisition device located at the upper part of the cabinet, analyze the pixel points in the acquired two-dimensional top view, and obtain contour lines in different directions; Extracting the target axis coordinates corresponding to each contour line, and synchronizing the target axis coordinates to a white light image acquisition device corresponding to two-dimensional lateral image extraction; The two-dimensional lateral images extracted by the white light image acquisition device based on the two-dimensional lateral image extraction and the target axis coordinates are analyzed and processed to obtain white light contour information of each group of two-dimensional lateral images, and the white light contour information is analyzed to obtain a white light contour result as feature information.

8. The battery charging and replacing method according to claim 7, characterized in that: The two-dimensional top view acquired by the white light image acquisition device located at the upper part of the cabinet is acquired, and the pixel points in the acquired two-dimensional top view are analyzed to obtain contour lines in different directions, including: Determine the pixel points with pixel values ​​corresponding to the battery to be detected in the two-dimensional upper view as the battery pixel points, and determine the pixel points with pixel values ​​corresponding to the color inside the cabinet in the two-dimensional upper view as the cabinet pixel points; The two-dimensional top view is processed into a coordinate system to obtain a first coordinate system, the battery coordinates of the battery pixel points adjacent to the cabinet coordinates of the cabinet pixel points are determined, and the battery pixel points corresponding to the determined battery coordinates are used as contour pixel points; Adjacent contour pixel points among all contour pixel points are determined, and the slopes between all adjacent two pixel points are obtained. Contour lines in different directions are obtained based on the slope analysis between all adjacent two pixel points.

9. The battery charging and replacing method according to claim 8, characterized in that: The step of determining adjacent contour pixel points among all contour pixel points, obtaining slopes between all two adjacent pixel points, and obtaining contour lines in different directions based on the slope analysis between all two adjacent pixel points includes: If the slope between a pixel point and two other adjacent pixel points is the same, the corresponding pixel point is judged to be a non-corner point; If it is determined that the slope between a pixel point and two other adjacent pixel points is different, and the absolute value of the difference between the two slopes is greater than or equal to a first preset value, then the corresponding pixel point is determined to be a corner point; All corner points in the contour line are determined, and based on each corner point, the pixel points under two slopes with different slopes are determined to obtain different contour lines.

10. The battery charging and replacing method according to claim 7, characterized in that: The method of extracting the target axis coordinates corresponding to each contour line and synchronizing the target axis coordinates to a white light image acquisition device corresponding to the two-dimensional lateral image extraction comprises: Based on the slope of each, the target axis coordinates corresponding to each contour line are obtained, and different slope intervals have preset target axis coordinates; Extract the cabinet coordinates of the cabinet pixel points in the two-dimensional top view, and obtain the coordinate interval of the two-dimensional top view based on the maximum cabinet coordinate and the minimum cabinet coordinate in different coordinate axis directions; The coordinate length ratio of each contour line in the corresponding target axis coordinate direction is obtained, and the target axis coordinates and the coordinate length ratio are synchronized to the white light image acquisition device corresponding to the two-dimensional lateral image extraction.

11. The battery charging and replacing method according to claim 7, characterized in that: The two-dimensional lateral image extracted by the white light image acquisition device based on the two-dimensional lateral image extraction and the target axis coordinates are analyzed and processed to obtain white light contour information of each group of two-dimensional lateral images, and the white light contour information is analyzed to obtain a white light contour result as feature information, including: Extracting the two-dimensional lateral image of each white light image acquisition device and processing it in coordinates, extracting the cabinet coordinates of the cabinet pixel points in the two-dimensional lateral image, and obtaining the coordinate interval of the two-dimensional side view based on the maximum cabinet coordinate and the minimum cabinet coordinate in different coordinate axis directions; Determine the first side extraction line corresponding to the upper edge contour and the second side extraction line corresponding to the lower edge in the corresponding coordinate interval based on the coordinate length ratio and the target axis coordinate; Connecting the starting point of the first side extraction line with the starting point of the second side extraction line, and connecting the end point of the first side extraction line with the end point of the second side extraction line, to obtain white light profile information of each set of two-dimensional side images, wherein each set of white light profile information of the side images has at least one piece of white light profile information; Pixel points corresponding to pixel values ​​of non-detected batteries in the white light profile information are extracted as feature information, and the feature information of all white light profile information is integrated to obtain the white light profile result.

12. The battery charging and replacing method according to claim 11, characterized in that: The infrared image information is segmented based on the white light contour result to obtain a segmented infrared image, and the analysis information of the battery to be tested is obtained based on the infrared images at different time sequences of the segmented infrared image, including: Each white light image acquisition device has an infrared image acquisition device at a corresponding position, and the resolutions of each corresponding white light image acquisition device and infrared image acquisition device are corresponding; Extracting white light contour coordinates of contour pixel points of the white light contour result of each white light image acquisition device, and extracting corresponding coordinates in the infrared image information based on the white light contour coordinates to obtain a segmented infrared image; After determining that the battery to be tested has passed the test power, the infrared pixel points in each segmented infrared image at different time sequences are obtained; Calculate the average pixel value of all infrared pixels in the segmented infrared image at each time sequence, calculate the difference between each infrared pixel and the average pixel value, and if the number of infrared pixels whose difference is greater than a preset difference is greater than a preset threshold, output analysis information with problems; If the number of infrared pixel points whose difference is greater than the preset difference is less than or equal to the preset threshold number, analysis information without problems is output.

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