Battery charging and swapping method applicable to the battery charging and swapping cabinet for identifying and handling fire hazards

Abstract

The present invention provides a battery charging and swapping method applicable to a battery charging and swapping cabinet for fire hazard identification and handling, which relates to data processing technology. After determining the closing operation of the cabinet door of the swapping cabinet, the battery state is identified and processed based on the sensing device inside the closed cabinet door; if it is determined that there is a battery to be charged, the electrical energy attribute information of the battery to be charged is obtained, and the corresponding voltage data is generated based on the electrical energy attribute information; a unique battery number is generated based on the cabinet control number and the compartment number of the closed cabinet door, and the unique battery number is correspondingly processed with the battery to be charged for this charging; based on the voltage data and the cell characteristic data, dynamic matching and dynamic compensation of the power of the battery to be charged are performed to obtain dynamic charging data; the dynamic charging data and the environmental data inside the cabinet door are sent to the SAAS platform and then displayed based on the APP, and other cabinet doors that meet the requirements are controlled to open to replace the new battery, so as to realize the precise monitoring and management of the battery state.

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:

[0007] 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;

[0008] 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;

[0009] 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;

[0010] 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;

[0011] After sending the dynamic charging data and the environmental data inside the cabinet door to the SAAS platform, display them based on the APP, and control other cabinet doors that meet the requirements to open for battery replacement.

[0012] Optionally, in a possible implementation manner of the first aspect, it further includes:

[0013] If it is determined that the battery status recognized by the sensing device is that there is no battery to be charged, obtain the status of the pressure switch, where the pressure switch abuts against the battery to be charged for detecting the battery to be charged;

[0014] If it is determined that the indicator light of the pressure switch is in the on state, after activating charging and identifying the battery, generate a unique battery number based on the cabinet control number and the compartment number of the closed cabinet door.

[0015] Optionally, in a possible implementation manner of the first aspect, it further includes:

[0016] If it is determined that the indicator light of the pressure switch is in the off state or charging cannot be activated, remind the staff to repeat the battery replacement operation based on the battery replacement cabinet and / or the APP;

[0017] After receiving the secondary placement information input by the staff based on the battery replacement cabinet and / or the APP, upload the cabinet control number and the compartment number of the corresponding battery replacement cabinet to the background server based on the APP.

[0018] Optionally, in a possible implementation manner of the first aspect, it further includes:

[0019] The battery replacement cabinet includes a battery detection port. After determining that the user inputs a battery detection instruction, control the cabinet door corresponding to the battery detection port to open. After determining that the battery to be detected is placed in the battery detection port and the cabinet door is closed, start the multi-modal acquisition device;

[0020] Obtain the multi-modal information of the battery to be detected based on the multi-modal acquisition device, and analyze and process the multi-modal information to obtain the analysis information of the battery to be detected;

[0021] If the analysis information meets the requirements, generate a two-dimensional code and paste it on the battery to be detected based on the manipulator, and extract the characteristic information of the battery to be detected and merge it with the two-dimensional code for storage.

[0022] Optionally, in a possible implementation manner of the first aspect, if it is determined that there is a battery to be charged, obtain the electrical energy attribute information of the battery to be charged, and generate corresponding voltage data based on the electrical energy attribute information, including:

[0023] If it is determined that there is a battery to be charged, obtain the two-dimensional code and characteristic information of the battery to be charged;

[0024] If the QR code and characteristic information of the battery to be charged correspond to the characteristic information and QR code of the battery to be detected pre-stored, voltage data corresponding thereto is generated based on the electrical energy attribute information.

[0025] Optionally, in a possible implementation manner of the first aspect, the multi-modal information of the battery to be detected is obtained based on the multi-modal acquisition device, and the analysis information of the battery to be detected is obtained by analyzing and processing the multi-modal information, including:

[0026] The multi-modal acquisition device includes a white light image acquisition device and an infrared image acquisition device;

[0027] Based on the white light image acquisition devices in different directions within the cabinet, the contour of the battery to be detected is extracted to obtain corresponding white light contour information, and the white light contour information is analyzed to obtain a white light contour result as characteristic information;

[0028] Based on the infrared image acquisition devices in different directions within the cabinet, the infrared image of the battery to be detected is extracted to obtain corresponding infrared image information;

[0029] 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 detected is obtained based on the infrared images at different time sequences of the segmented infrared image.

[0030] Optionally, in a possible implementation manner of the first aspect, the based on the white light image acquisition devices in different directions within the cabinet, the contour of the battery to be detected is extracted to obtain corresponding white light contour information, and the white light contour information is analyzed to obtain a white light contour result as characteristic information, including:

[0031] Obtain the two-dimensional top view collected by the white light image acquisition device located at the upper part of the cabinet, analyze the pixel points in the obtained two-dimensional top view, and obtain contour lines in different directions;

[0032] Extract the target axis coordinates corresponding to each contour line respectively, and synchronize the target axis coordinates to the white light image acquisition device extracted from the corresponding two-dimensional side image;

[0033] Based on the two-dimensional side image extracted by the white light image acquisition device extracted from the two-dimensional side image and the target axis coordinates, analyze and process to obtain the white light contour information of each group of two-dimensional side images, and analyze the white light contour information to obtain a white light contour result as characteristic information.

[0034] Optionally, in a possible implementation manner of the first aspect, the obtaining the two-dimensional top view collected by the white light image acquisition device located at the upper part of the cabinet, analyzing the pixel points in the obtained two-dimensional top view, and obtaining contour lines in different directions, includes:

[0035] Determine the pixel points corresponding to the pixel values of the battery to be detected in the two-dimensional top view as battery pixel points, and determine the pixel points corresponding to the pixel values of the color inside the cabinet in the two-dimensional top view as cabinet pixel points;

[0036] Perform coordinate transformation on the two-dimensional top view to obtain a first coordinate system, determine the battery coordinates of the battery pixel points adjacent to the cabinet coordinates of the cabinet pixel points, and use the battery pixel points corresponding to the determined battery coordinates as contour pixel points;

[0037] Determine the adjacent contour pixel points among all the contour pixel points, obtain the slopes between all adjacent pairs of pixel points, and analyze different directions of contour lines based on the slopes between all adjacent pairs of pixel points.

[0038] Optionally, in a possible implementation manner of the first aspect, the determining the adjacent contour pixel points among all the contour pixel points, obtaining the slopes between all adjacent pairs of pixel points, and analyzing different directions of contour lines based on the slopes between all adjacent pairs of pixel points includes:

[0039] If it is determined that the slopes between a pixel point and two other adjacent pixel points are the same, then determine that the corresponding pixel point is a non-corner point;

[0040] If it is determined that the slopes between a pixel point and two other adjacent pixel points are different, and the absolute value of the difference between the two slopes is greater than or equal to a first preset value, then determine that the corresponding pixel point is a corner point;

[0041] Determine all the corner points in the contour lines, and determine the pixel points under the two different slopes where each corner point is located to obtain different contour lines.

[0042] Optionally, in a possible implementation manner of the first aspect, the extracting the target axis coordinates corresponding to each contour line and synchronizing the target axis coordinates to the white light image acquisition device extracted from the corresponding two-dimensional side image includes:

[0043] Obtain the target axis coordinates corresponding to each contour line based on the slope of each. Different slope intervals have preset target axis coordinates;

[0044] 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 and minimum cabinet coordinates in different coordinate axis directions;

[0045] Obtain the ratio of the coordinate length of each contour line in the corresponding target axis coordinate direction, and synchronize the target axis coordinates and the ratio of the coordinate length to the white light image acquisition device extracted from the corresponding two-dimensional side image.

[0046] Optionally, in a possible implementation manner of the first aspect, for the two-dimensional lateral image extracted by the white light image acquisition device, the two-dimensional lateral image is subjected to target axis coordinate analysis and processing to obtain the white light contour information of each group of two-dimensional lateral images, and the white light contour result serving as the feature information is obtained by analyzing the white light contour information, including:

[0047] Extract the two-dimensional lateral images of each white light image acquisition device and perform coordinate processing, extract the cabinet coordinates of the cabinet pixel points in the two-dimensional lateral images, and obtain the coordinate interval of the two-dimensional side view based on the maximum and minimum cabinet coordinates in different coordinate axis directions;

[0048] Based on the coordinate length ratio and the target axis coordinates, 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;

[0049] Connect the starting point of the first side extraction line with the starting point of the second side extraction line, and connect the ending point of the first side extraction line with the ending point of the second side extraction line to obtain the white light contour information of each group of two-dimensional lateral images, and the white light contour information of each group of lateral images has at least one white light contour information;

[0050] Extract the pixel points corresponding to the pixel values of the non-batteries to be detected in the white light contour information as the feature information, and synthesize the feature information of all the white light contour information to obtain the white light contour result.

[0051] Optionally, in a possible implementation manner of the first aspect, segment the infrared image information based on the white light contour result to obtain a segmented infrared image, and obtain the analysis information of the battery to be detected based on the infrared images at different time sequences of the segmented infrared image, including:

[0052] Each white light image acquisition device has a corresponding infrared image acquisition device in terms of position, and the resolutions of each corresponding white light image acquisition device and infrared image acquisition device are corresponding;

[0053] Extract the white light contour coordinates of the contour pixel points of the white light contour result of each white light image acquisition device, and extract the corresponding coordinates in the infrared image information based on the white light contour coordinates to obtain a segmented infrared image;

[0054] After determining that the battery to be detected is energized for detection, obtain the infrared pixel points in each segmented infrared image at different time sequences;

[0055] Calculate the average pixel value of all the infrared pixel points in the segmented infrared image at each time sequence, calculate the difference between each infrared pixel point and the average pixel value, and if it is determined that the number of infrared pixel points with a difference greater than the preset difference is greater than the preset threshold number, output the analysis information with problems;

[0056] If the number of infrared pixel points whose judged difference is greater than the preset difference is less than or equal to the preset threshold number, output analysis information indicating no problem.

[0057] In a second aspect of the present invention, there is provided a storage medium storing a computer program, which when executed by a processor is used to implement the method of the first aspect of the present invention and various possible designs of the first aspect.

[0058] The beneficial effects of the present invention are as follows:

[0059] 1. The present invention can effectively manage and charge ordinary hardware version batteries in intelligent fire fighting battery swapping cabinets, improve the charging efficiency of the batteries, enhance the functionality of the battery swapping cabinets, and achieve accurate monitoring and management of the battery status. The multimodal acquisition device in the present invention combines white light image and infrared image information, and through multi-angle and multi-level image analysis, realizes comprehensive detection of the battery status. The white light image provides the external contour features of the battery, and the infrared image provides the 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.

[0060] 2. The present invention can perform dynamic power management and matching on the batteries to ensure the safety of the equipment and users. Among them, during the battery charging process, the present invention obtains the real-time electrical energy attributes and generated voltage data of the battery, and combines the cell characteristic data to implement dynamic power matching and compensation. This method can flexibly adjust the charging strategy according to the actual state of the battery, ensure that the battery is always in the best charging state, extend the battery life while improving the charging efficiency. In addition, dynamic matching can also prevent overcharging or undercharging problems caused by changes in the battery state, ensuring the safety of the equipment and users.

[0061] 3. The present invention realizes real-time monitoring and display of charging and environmental data through the SAAS platform and APP. Users can not only directly view the battery status and charging process through the APP, but also receive intelligent operation suggestions from the system. When the present invention detects an abnormal situation, it will automatically remind the user to make necessary operation adjustments or repeat the replacement operation, and provide detailed guiding steps. This intelligent management and user-friendly interaction design significantly improves the user experience, and at the same time greatly improves the safety and reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 It is a flowchart of a battery charging and swapping method for a battery swapping cabinet suitable for fire hazard identification and treatment provided by the present invention;

[0063] Figure 2Structural schematic diagram of a battery charging and swapping method for a battery swapping cabinet provided by the present invention;

[0064] Figure 3 Flowchart for a battery swapping cabinet to identify a battery provided by the present invention. Detailed implementation manners

[0065] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are only a part rather than all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0066] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order different from those illustrated or described herein.

[0067] It should be understood that in various embodiments of the present invention, the magnitudes of the sequence numbers of the various processes do not mean the order of execution is prior or subsequent. The order of execution of each process should be determined by its function and internal logic and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0068] It should be understood that in the present invention, "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0069] It should be understood that in the present invention, "a plurality of" means two or more. "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 may represent: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally represents an "or" relationship between the associated objects before and after. "Including A, B, and C", "including A, B, C" means that all of A, B, and C are included, "including A, B, or C" means including any one of A, B, and C, and "including A, B, and / or C" means including any one or any two or all three of A, B, and C.

[0070] It should be understood that in the present invention, "B corresponding to A", "B corresponding to A relatively", "A corresponding to B relatively" or "B corresponding to A relatively" means that B is associated with A, and B can be determined according to A. Determining B according to A does not mean determining B only according to A, and B can also be determined according to A and / or other information. The matching of A and B means that the similarity between A and B is greater than or equal to a preset threshold.

[0071] Depending on the context, as used herein, "if" can be interpreted as "when", "while", "in response to determining", or "in response to detecting".

[0072] The technical solution of the present invention will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0073] As Figure 1 shown, the present invention provides a battery charging and swapping method applicable to a battery charging and swapping cabinet for identifying and handling fire hazards, including:

[0074] S1, after determining the closing operation of the cabinet door of the swapping cabinet, identifying and processing the battery state based on the sensing device inside the closed cabinet door.

[0075] It should be noted that traditional swapping cabinets mainly use proprietary communication batteries, and ordinary hardware version batteries cannot be effectively managed and charged in intelligent fire swapping cabinets, cannot accurately detect the battery state, and cannot dynamically adjust the charging strategy. Therefore, the batteries stored in the swapping cabinet can be identified and monitored to improve the usage efficiency and safety of ordinary hardware version batteries in the swapping cabinet.

[0076] It can be understood that when it is determined that the cabinet door of the swapping cabinet is closed, the battery state can be identified through the sensing device inside the swapping cabinet to achieve the detection of the battery.

[0077] Among them, the sensing device is a device for sensing the presence or absence of a battery. For example, methods such as pressure switches, magnetic induction, and infrared induction can be used to detect whether there is a battery in the cell.

[0078] S2, if it is determined that there is a battery to be charged, obtain the electrical energy attribute information of the battery to be charged, and generate corresponding voltage data based on the electrical energy attribute information.

[0079] It can be understood that when it is determined that there is a battery to be charged in the swapping cabinet, the electrical energy attribute information of the battery to be charged can be obtained to generate corresponding voltage data according to the electrical energy attribute information of the battery to be charged.

[0080] Among them, the battery to be charged is the battery that needs to be charged, the electrical energy attribute information is the electrical energy information corresponding to the battery, for example, relevant information such as voltage and battery capacity, and the voltage data is the information indicating the battery voltage.

[0081] In some embodiments, the specific implementation manner in step S2 (if it is determined that there is a battery to be charged, obtain the electrical energy attribute information of the battery to be charged, and generate corresponding voltage data based on the electrical energy attribute information) includes:

[0082] S21, if it is determined that there is a battery to be charged, obtain the QR code and characteristic information of the battery to be charged.

[0083] It can be understood that when it is determined that there is a battery that needs to be charged in the battery swapping cabinet, in order to prevent a good battery from being replaced with a damaged battery after detection, which may cause a battery charging accident, therefore, the QR code and characteristic information of the battery to be charged can be obtained, so that it can be identified according to the QR code and characteristic information, and the battery to be charged can be positioned and monitored.

[0084] Among them, the characteristic information is the display information corresponding to the battery to be charged, which can be the text, numbers, protrusions or depressions on the surface, etc.

[0085] S22, if the QR code and characteristic information of the battery to be charged correspond to the characteristic information and QR code of the battery to be detected stored in advance, generate corresponding voltage data based on the electrical energy attribute information.

[0086] It can be understood that the obtained QR code and characteristic information of the battery to be charged are compared and identified with the QR code and characteristic information stored in advance, so that corresponding voltage data can be generated, so that the battery can be charged or replaced according to the voltage information in the follow-up.

[0087] Among them, the battery to be detected is the stored battery that needs to be detected.

[0088] S3, generate a unique battery number based on the cabinet control number and compartment number of the closed cabinet door, and perform corresponding processing on the unique battery number and the battery to be charged in this charging.

[0089] It can be understood that the cabinet control number is the automatic control number of the battery swapping cabinet, the compartment number is the area number divided in the battery swapping cabinet for storing battery detection, the unique battery number is the unique number corresponding to the battery, and the generated unique battery number is made to correspond one by one with the battery to be charged currently being charged, so that the battery in this time has its corresponding identification number, so as to facilitate subsequent positioning and identification.

[0090] S4, perform dynamic matching and dynamic compensation on the battery to be charged based on the voltage data and cell characteristic data to obtain dynamic charging data.

[0091] It is understandable that the battery cell is the core component in the battery, and its result stability directly determines the cycle life and safety performance of the battery. Furthermore, the battery cell characteristic data are the performance data corresponding to the battery cell, which can include the capacity, energy density, charging information, etc. of the battery cell.

[0092] Among them, dynamic compensation can improve the dynamic characteristics in the power system, enhance the stability and reliability of the system. Its main function is to monitor and adjust the state of the system in real time to cope with the impacts brought by load changes, faults or other disturbances, so as to ensure the normal operation of the equipment. The dynamic charging data are the electric energy data obtained in real time through dynamic matching and dynamic compensation during the charging process of the battery. For example, the charging power corresponding in real time during the charging process, etc.

[0093] It is not difficult to understand that according to the voltage data and the battery cell characteristic data, dynamic matching is performed on the battery to be charged to achieve dynamic matching of the power, so as to achieve high-precision display. At the same time, dynamic charging data are obtained through dynamic compensation to solve the voltage floating problem during the charging process, ensuring the efficiency and safety of the charging process.

[0094] S5, after sending the dynamic charging data and the environment data inside the cabinet door to the SAAS platform, display them based on the APP, and control other cabinet doors that meet the requirements to open to replace the new battery.

[0095] It is understandable that since different environments in the battery swapping cabinet will affect the charging safety, service life, etc. of the battery, the environment data inside the cabinet door can be obtained, such as temperature. Thus, the environment data and the obtained dynamic charging data can be sent to the SAAS platform, so that they can be displayed on the corresponding APP to achieve real-time monitoring of the battery to be charged and improve the charging safety of the battery.

[0096] At the same time, other cabinet doors that meet the requirements can also be controlled to open. For example, open the cabinet door in which the battery has been fully charged in the corresponding cabinet door, so as to replace the new battery for detection and charging.

[0097] It is worth mentioning that as Figure 2 shown, the battery identification module corresponding to the battery swapping cabinet can detect whether there is a battery placed in the battery swapping cabinet, and the corresponding identification information can be obtained. And the relevant battery charging and swapping module can perform battery charging and swapping operations. Among them, the data monitoring and optimization module can realize real-time monitoring of the battery and the environment data in the battery swapping cabinet. Furthermore, the corresponding dynamic charging data and the environment data inside the cabinet door in the battery swapping cabinet can be sent to the SAAS platform and displayed based on the APP to achieve real-time monitoring and display of the charging and environment data. Through the combined action of multiple modules, the detection and charging of the battery are realized, and the real-time viewing of the battery information in the battery swapping cabinet by personnel is realized.

[0098] AsFigure 3 As shown, the process of the judgment method for the battery swapping cabinet to identify the battery is as follows. After the battery is placed in the battery swapping cabinet, the battery charging cable will be plugged in first for subsequent detection. Thus, in some embodiments, it further includes:

[0099] A1. If it is determined that the sensing device does not identify a battery to be charged, obtain the status of the pressure switch. The pressure switch is in contact with the battery to be charged for detecting the battery to be charged.

[0100] It should be noted that when judging whether there is a battery to be charged in the battery swapping cabinet, not only does the sensing device sense and judge the battery, but also when the sensing device fails to identify it, the status of the pressure switch can be obtained to determine whether there is a battery to be charged through the pressure switch.

[0101] It can be understood that when the sensing device fails to identify the battery, the status of the pressure switch can be obtained. Subsequently, when the indicator light corresponding to the pressure switch is on, it can indicate that the corresponding pressure switch senses the presence of the battery, and then the charging device can be activated to charge the battery to be charged, ensuring the normal charging process of the battery.

[0102] 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, generate a unique battery number based on the cabinet control number and compartment number of the closed cabinet door.

[0103] 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. After identifying the battery, a unique battery number can be generated according to the cabinet control number and compartment number of the closed cabinet door, and the corresponding unique battery number is assigned to the battery to be charged.

[0104] In some embodiments, it further includes:

[0105] B1. If it is determined that the indicator light of the pressure switch is in the off state or charging cannot be activated, remind the staff to repeat the battery swapping operation based on the battery swapping cabinet and / or the APP.

[0106] It can be understood 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 swapping operation according to the battery swapping cabinet and / or the APP. For example, the battery to be charged can be placed again, and the battery can be plugged and unplugged to judge the status of the battery. When it still cannot be identified, it can indicate that the corresponding battery is faulty, and then the staff can be contacted through the APP for handling.

[0107] B2. After receiving the secondary placement information input by the staff based on the battery swapping cabinet and / or the APP, upload the cabinet control number and compartment number of the corresponding battery swapping cabinet to the background server based on the APP.

[0108] It is understandable that after receiving the secondary placement information input by the staff, the cabinet control number and compartment number of the corresponding battery replacement cabinet can be uploaded to the server through the APP, so that the server can identify and record the corresponding batteries to be charged.

[0109] It should be noted that since some batteries may be damaged due to long-term use or improper use, when the damaged batteries are placed in the battery replacement cabinet for charging, they may explode due to uneven heat during the charging process. Therefore, it is necessary to give priority to checking the batteries before putting them into the charging cabinet for charging. Thus, in some embodiments, it further includes:

[0110] C1. The battery replacement cabinet includes a battery detection port, controls the opening of the cabinet door corresponding to the battery detection port after judging that the user inputs a battery detection instruction, and starts the multimodal acquisition device after judging that the battery to be detected is placed in the battery detection port and the cabinet door is closed.

[0111] It is understandable that when the user needs to perform an initial detection on the battery, a battery detection instruction can be input to control the opening of the cabinet door of the corresponding battery detection port of the battery replacement cabinet. Furthermore, when it is determined that the battery to be detected is placed in the electromagnetic detection port and the cabinet door has been closed, the multimodal acquisition device can be started to perform multimodal detection on the battery to be detected.

[0112] Among them, the battery detection port is the cabinet port for the initial detection of the battery, the battery detection instruction is the instruction information for detecting the battery, the battery to be detected is the battery that needs to be subjected to multimodal detection, and the multimodal acquisition device is the acquisition device for performing multimodal detection, which can be a camera.

[0113] C2. Based on the multimodal acquisition device, obtain the multimodal information of the battery to be detected, and analyze and process the multimodal information to obtain the analysis information of the battery to be detected.

[0114] It is understandable that the multimodal information is the information corresponding to multiple factors of the battery to be detected. For example, it can include the battery color, text, surface unevenness, and the heat condition during the corresponding charging process, etc.

[0115] It is not difficult to understand that analyzing the multimodal information to obtain the analysis information of the battery to be detected is to judge the safety of the corresponding battery to be detected during the subsequent charging process.

[0116] Among them, the analysis information is the information result obtained after analyzing and processing the multimodal information.

[0117] In some embodiments, the specific implementation manner in step C2 (obtaining the multimodal information of the battery to be detected based on the multimodal acquisition device, and analyzing and processing the multimodal information to obtain the analysis information of the battery to be detected) includes:

[0118] C21. The multimodal acquisition device includes a white light image acquisition device and an infrared image acquisition device.

[0119] It can be understood that the white light image acquisition device can be used to acquire white light images, so that the characteristic information on the corresponding surface of the battery to be detected can be identified according to the white light images for subsequent comparison and confirmation. At the same time, the infrared image acquisition device can be used to acquire infrared images during the battery charging process, so that the internal working condition of the battery can be analyzed according to the infrared images, and damaged batteries with uneven heat absorption during charging can be excluded in time, improving the safety of subsequent battery charging.

[0120] Among them, the white light image acquisition device is a device for image acquisition under white light, such as a white light camera, and the infrared image acquisition device is a device that can perform infrared image acquisition, such as an infrared camera.

[0121] It is not difficult to understand that the corresponding multimodal acquisition devices can be respectively installed on the top layer and the surrounding of the cabinet interior to acquire images of the battery to be detected in all directions, so as to obtain accurate multimodal information for analysis and improve the accuracy of the analyzed information.

[0122] C22. Based on the extraction of the contour of the battery to be detected by the white light image acquisition devices in different directions within the cabinet, the corresponding white light contour information is obtained, and the white light contour result as characteristic information is obtained by analyzing the white light contour information.

[0123] It can be understood that the battery to be detected is acquired by the white light image acquisition devices in different directions within the cabinet, and the corresponding battery contour is extracted to obtain the white light contour information corresponding to each azimuth, so as to analyze the white light contour information to obtain the white light contour result as characteristic information.

[0124] In some embodiments, the specific implementation manner of step C22 (the extraction of the contour of the battery to be detected by the white light image acquisition devices in different directions within the cabinet, the corresponding white light contour information is obtained, and the white light contour result as characteristic information is obtained by analyzing the white light contour information) includes:

[0125] C221. Obtain the two-dimensional top view acquired by the white light image acquisition device located in the upper part of the cabinet, and analyze the pixel points in the obtained two-dimensional top view to obtain contour lines in different directions.

[0126] It should be noted that since the position of the battery to be detected placed may deviate, for example, the placement angle is offset. As a result, the image captured by the camera deviates from the image corresponding to the standard placement position. Therefore, the two-dimensional image captured by the white light image acquisition device in multiple directions can be analyzed to obtain the contour lines corresponding to different directions, so that further analysis can be carried out based on the contour lines to segment the image of the side of the battery to be detected, so as to determine the accurate feature information subsequently.

[0127] It can be understood that the two-dimensional top view is the two-dimensional image captured by the white light image acquisition device located at the top of the cabinet body, and the contour line is the contour boundary line of the battery image corresponding in the two-dimensional top view.

[0128] In some embodiments, the specific implementation manner in step C221 (obtaining the two-dimensional top view captured by the white light image acquisition device located in the upper part of the cabinet body, analyzing the pixel points in the obtained two-dimensional top view, and obtaining the contour lines in different directions) includes:

[0129] C2211, determining the pixel points corresponding to the pixel values of the battery to be detected in the two-dimensional top view as battery pixel points, and determining the pixel points corresponding to the pixel values of the color inside the cabinet body in the two-dimensional top view as cabinet pixel points.

[0130] It can be understood that the battery pixel points are the pixel points corresponding to the pixel values of the battery to be detected, and the cabinet pixel points are the pixel points corresponding to the pixel values of the color inside the cabinet body.

[0131] It is not difficult to understand that in order to facilitate the identification and detection of the battery to be detected, the pixel values inside the battery swapping cabinet are distinguished from the pixel values corresponding to the battery. That is, the unified color inside the battery swapping cabinet can be blue, red, etc., so as to be distinguished from the pixel values of the battery.

[0132] C2212, performing coordinate transformation on the two-dimensional top view to obtain a first coordinate system, determining the battery coordinates of the battery pixel points adjacent to the cabinet coordinates of the cabinet pixel points, and taking the battery pixel points corresponding to the determined battery coordinates as contour pixel points.

[0133] It can be understood that the first coordinate system is the coordinate system in the two-dimensional top view, the cabinet coordinates are the coordinates corresponding to the cabinet pixel points, and the battery coordinates are the coordinates corresponding to the battery pixel points.

[0134] It is not difficult to understand that when the placement angle of the battery is deviated, when the white light image acquisition device on the left side in the cabinet body acquires an image of the battery to be detected, the acquired image may have an image of the front of the cabinet door adjacent to the left side image of the battery. Therefore, it is necessary to determine the battery coordinates adjacent to the cabinet body coordinates in order to obtain the corresponding contour pixel points, which is convenient for subsequently determining the contour lines in different directions and facilitating the subsequent segmentation of the two-dimensional side image.

[0135] Among them, the contour pixel points are the battery pixel points adjacent to the cabinet body pixel points.

[0136] C2213. Determine the adjacent contour pixel points among all the contour pixel points, and obtain the slopes between all adjacent two pixel points. Based on the slopes between all adjacent two pixel points, contour lines in different directions are analyzed and obtained.

[0137] It can be understood that a straight line can be determined between two points. Furthermore, the corresponding slope can be obtained through adjacent pixel points. And when the slopes determined by two adjacent pixel points on the same straight line are the same, and when the slopes of two adjacent pixel points not on the same straight line in the same direction will be different from other slopes. Therefore, the contour lines corresponding to different directions can be distinguished according to the slopes 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.

[0138] In some embodiments, the specific implementation manner in step C2213 (determine the adjacent contour pixel points among all the contour pixel points, and obtain the slopes between all adjacent two pixel points. Based on the slopes between all adjacent two pixel points, contour lines in different directions are analyzed and obtained) includes:

[0139] C22131. If it is determined that the slopes between one pixel point and two other adjacent pixel points are the same, then determine the corresponding pixel point as a non-corner point.

[0140] It can be understood that when the slopes between one contour pixel point and two adjacent contour pixel points are both the same, it can be explained that the current contour pixel point and the two adjacent contour pixel points are on the same straight line, and then determine the corresponding pixel point as a non-corner point.

[0141] Among them, the non-corner point is the pixel point that is not at the corner of the battery image contour.

[0142] C22132. If it is determined that the slopes between one pixel point and two other adjacent pixel points are different, and the absolute value of the difference between the two slopes is greater than or equal to the first preset value, then determine the corresponding pixel point as a corner point.

[0143] It can be understood that the first preset value is a preset numerical value, and the corner point is a pixel point at the corner of the contour boundary line.

[0144] It is not difficult to understand that when it is determined that the slopes between a pixel point and the other two adjacent pixel points are 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 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 as to obtain contour lines in different directions based on the corner points subsequently.

[0145] C22133, determine all the corner points in the contour line, and based on each corner point, determine the pixel points under the two oblique lines with different slopes where it is located to obtain different contour lines.

[0146] It can be understood that all the corresponding corner points in all the contour lines are determined, and the contour pixel points corresponding to each of the two oblique lines with different slopes where each corner point is located can be determined, so that the contour lines composed of the corresponding contour pixel points can be obtained, so as to determine the corresponding target axis coordinates through the contour lines in different directions subsequently, and further facilitate the subsequent analysis of the collected image.

[0147] C222, extract the target axis coordinates corresponding to each contour line respectively, and synchronize the target axis coordinates to the white light image acquisition device extracted from the corresponding two-dimensional lateral image.

[0148] It can be understood that the target axis coordinates are the coordinates corresponding to each contour line. For example, the position point coordinates corresponding to the X-axis and the Y-axis. Thus, 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 left contour line is synchronized to the white light image acquisition device located on the left side inside the cabinet, and the target axis corresponding to the right contour line is synchronized to the white light image acquisition device located on the right side inside the cabinet, etc.

[0149] Among them, the two-dimensional lateral image is a two-dimensional image collected by a white light image acquisition device located on the inner side of the cabinet.

[0150] In some embodiments, the specific implementation manner in step C222 (extracting the target axis coordinates corresponding to each contour line respectively, and synchronizing the target axis coordinates to the white light image acquisition device extracted from the corresponding two-dimensional lateral image) includes:

[0151] C2221, obtain the target axis coordinates corresponding to each contour line based on the slope of each. Different slope intervals have preset target axis coordinates.

[0152] It should be noted that the target axis coordinates of the contour lines corresponding to the two-dimensional side views in different directions are different. According to the slope values, the contour lines are assigned to different preset slope intervals, and each interval corresponds to a specific target axis coordinate. Different slope intervals reflect the distribution characteristics of the contour lines in different spatial directions.

[0153] It is not difficult to understand that by synchronizing the coordinate data under different views to the white light image acquisition device, the comprehensive detection and analysis of the target from multiple angles are ensured.

[0154] C2222. 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 and minimum cabinet coordinates in different coordinate axis directions.

[0155] It can be understood that the pixel points of the cabinet are extracted from the two-dimensional top view to obtain its 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 the coordinates corresponding to the battery image to be detected in the two-dimensional top view.

[0156] Through the above implementation manners, the coordinate intervals corresponding to each contour line can be obtained, so as to subsequently determine the length ratio in the corresponding direction according to the coordinate intervals, and further the two-dimensional side image can be divided.

[0157] C2223. Obtain the coordinate length ratio of each contour line in the corresponding target axis coordinate direction, and synchronize the target axis coordinates and the coordinate length ratio to the white light image acquisition device extracted from the corresponding two-dimensional side image.

[0158] It should be noted that since the coordinate points of the contours of the batteries corresponding to different directions are different. For example, when there are 100 pixel points corresponding to the contour edge in the top view and 200 pixel points in the side view, the lengths of the corresponding coordinate axes are different. Therefore, by calculating the coordinate length ratio, the subsequent calculation results are more accurate.

[0159] 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.

[0160] It is not difficult to understand that the coordinate length of each contour line in the target axis coordinate direction is obtained, the ratio of this coordinate length to the overall target axis coordinate range is calculated to obtain the coordinate length ratio. Thus, the obtained target axis coordinates and the coordinate length ratio can be synchronized to the white light image acquisition device related to the extraction of the two-dimensional side image. Through data synchronization, the data under different perspectives can be analyzed and processed in a unified coordinate system subsequently.

[0161] It is worth mentioning that by using the slope interval and the ratio of coordinate length, the accurate positioning and management of the target axis coordinates are realized, the accuracy of image processing is improved, the consistency and comparability of data are maintained in multiple views, and the integration and analysis capabilities of the system are enhanced.

[0162] C223. For the two-dimensional lateral image extracted by the white light image acquisition device based on the two-dimensional lateral image, perform analysis and processing on the target axis coordinates to obtain the white light contour information of each group of two-dimensional lateral images, and analyze the white light contour information to obtain the white light contour result as the characteristic information.

[0163] It can be understood that the collected two-dimensional lateral images are analyzed and processed according to the synchronized target axis coordinates. Under the guidance of the target axis coordinates, the position of each contour line in the image is accurately located, and the extracted white light contour information is deeply analyzed to identify key features. The characteristic information obtained from the analysis is integrated into the final white light contour result. The white light contour result not only includes the shape of the battery to be detected, but also can include information such as the text on the battery surface and the concave-convex state.

[0164] It is not difficult to understand that through multi-step extraction and analysis, the high-precision recognition of the white light contour information is ensured. The generated white light contour result contains rich characteristic information, providing more comprehensive judgment and recognition information for subsequent applications.

[0165] In some embodiments, the specific implementation manner in step C223 (for the two-dimensional lateral image extracted by the white light image acquisition device based on the two-dimensional lateral image, perform analysis and processing on the target axis coordinates to obtain the white light contour information of each group of two-dimensional lateral images, and analyze the white light contour information to obtain the white light contour result as the characteristic information) includes:

[0166] C2231. Extract the two-dimensional lateral image of each white light image acquisition device and perform coordinate processing, extract the cabinet coordinates of the cabinet pixel points in the two-dimensional lateral image, and obtain the coordinate interval of the two-dimensional side view based on the maximum and minimum cabinet coordinates in different coordinate axis directions.

[0167] It can be understood that each two-dimensional lateral image is extracted from the white light image acquisition device, 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 interval of the two-dimensional side view is determined, which provides a necessary framework for subsequent coordinate processing.

[0168] C2232. Based on the ratio of coordinate length and the target axis coordinates, 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.

[0169] It can be understood that by using the proportion of the coordinate length and the target axis coordinates, the upper edge and the lower edge within the corresponding coordinate interval are determined, and the first side extraction line located on the upper edge contour and the second side extraction line located on the lower edge are extracted. These extraction lines form the basis of the contour, so as to subsequently determine the corresponding battery contour through the first side extraction line and the second side extraction line.

[0170] Among them, the first side extraction line is the boundary line corresponding to the upper edge contour, and the second side extraction line is the boundary line corresponding to the lower edge.

[0171] 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 the white light contour information of each group of two-dimensional lateral images. Each group of lateral image white light contour information has at least one white light contour information.

[0172] It can be understood that 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. This connection process forms the complete white light contour information of each group of two-dimensional lateral images, providing a clear visual reference for subsequent analysis. Moreover, each group of lateral images contains at least one white light contour information with complete features.

[0173] It is not difficult to understand that when the placement position of the battery to be detected is standard, the white light contour in each lateral image is the contour corresponding to the battery's corresponding surface. When the placement position of the battery to be detected is deviated, there will be multiple contour surfaces collected in the corresponding lateral image. Therefore, each group of lateral image white light contour information has at least one white light contour information.

[0174] C2234, extract the pixel points in the white light contour information that do not correspond to the pixel values of the battery to be detected as feature information, and obtain the white light contour result by integrating the feature information of all white light contour information.

[0175] It can be understood that extract the pixel points in the white light contour information that do not correspond to the pixel values of the battery to be detected. For example, when the pixel points of the battery to be detected are yellow, and when there are scratches on the battery surface, exposing the silver material of the corresponding battery, then these pixel points, as feature information, represent the unique feature information of the battery to be detected, facilitating the subsequent determination of the corresponding battery according to 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 monitoring during the charging process.

[0176] Through the above embodiments, the present invention can utilize a multi-step analysis process to achieve the automatic extraction and integration of feature information, improving the information processing efficiency.

[0177] C23. Based on the infrared image acquisition devices in different directions inside the cabinet, extract the infrared images of the battery to be detected to obtain corresponding infrared image information.

[0178] It can be understood that, according to the infrared image acquisition devices in different directions inside the cabinet, extract the infrared images of the battery to be detected, so as to obtain the infrared image information of the battery at different angles and directions, providing a multi-dimensional perspective for subsequent analysis.

[0179] Among them, the infrared images are collected by the infrared image acquisition devices, and among them, the infrared image acquisition devices have corresponding white light image acquisition devices one by one.

[0180] 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, and this information includes features such as temperature distribution, which can be used to evaluate the health status and functional integrity of the battery.

[0181] C24. Based on the white light contour result, segment the infrared image information to obtain a segmented infrared image, and obtain the analysis information of the battery to be detected based on the infrared images at different time sequences of the segmented infrared image.

[0182] It can be understood that the segmented infrared image is the image after region segmentation of the infrared image according to the white light contour result, so as to subsequently accurately determine the heat condition inside the corresponding battery, and thus can accurately determine the detection result of the battery to be detected in a timely manner.

[0183] It is not difficult to understand that using the previously generated white light contour result to segment the infrared image information. 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, extract and analyze the relevant information of the battery to be detected. This analysis can include comparing multi-time sequence heat maps to detect temperature changes or abnormal hot spots, and through time sequence analysis, identify possible abnormal behaviors or potential faults during the charging process of the battery.

[0184] Through the above embodiments, combined with the result of the white light contour, the infrared information of the target battery can be accurately segmented, thereby improving the accuracy of the analysis. Utilizing the data of multi-directional infrared images provides a more comprehensive and in-depth battery state assessment. Time sequence analysis helps to detect potential problems of the battery early, providing a strong basis for maintenance and replacement.

[0185] In some embodiments, the specific implementation manner in step C24 (wherein based on the white light contour result, segment the infrared image information to obtain a segmented infrared image, and obtain the analysis information of the battery to be detected based on the infrared images at different time sequences of the segmented infrared image) includes:

[0186] C241. Each white light image acquisition device has an infrared image acquisition device corresponding in position, and the resolutions of each corresponding white light image acquisition device and infrared image acquisition device correspond to each other.

[0187] It can be understood that each white light image acquisition device is paired with an infrared image acquisition device corresponding in position, and the corresponding white light and infrared image acquisition devices have matching resolutions to ensure a one-to-one correspondence relationship of the images in space.

[0188] C242. Extract the white light contour coordinates of the contour pixel points of the white light contour result of each white light image acquisition device, and based on the white light contour coordinates, extract the corresponding coordinates in the infrared image information to obtain a segmented infrared image.

[0189] It can be understood that the contour pixel points in the white light contour result of each white light image acquisition device are extracted, their white light contour coordinates are obtained, and according to the white light contour coordinates, the corresponding coordinates are extracted from the infrared image information. In this way, the obtained segmented infrared image only contains the part corresponding to the white light contour, ensuring the accuracy during analysis.

[0190] Among them, the white light contour coordinates are the coordinates of the corresponding contour pixel points in the white light contour result.

[0191] C243. After judging that the test electric energy is applied to the battery to be detected, obtain the infrared pixel points in each segmented infrared image at different time sequences.

[0192] It can be understood that after the battery is powered on for detection, the 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.

[0193] For example, it can be powered on for one minute, so that the infrared pixel points in different segmented infrared images within one minute can be compared to determine the heat generation situation inside the battery and judge whether there is abnormal charging.

[0194] C244. Calculate the average pixel value of all infrared pixel points in the segmented infrared image at each time sequence, calculate the difference between each infrared pixel point and the average pixel value. If it is judged that the number of infrared pixel points with a difference greater than the preset difference is greater than the preset threshold number, then output the analysis information with problems.

[0195] It can be understood that the average pixel value is the average of the pixel values corresponding to the infrared pixel points, and the difference from the average pixel value is calculated based on the pixel values corresponding to the infrared pixel points. When the number of infrared pixel points with a difference greater than the preset difference is greater than the preset threshold, it can indicate that there is an abnormal heating inside the battery during the charging process. For example, uneven heating causes uneven pixel values of the infrared pixel points. Therefore, analysis information with problems can be output to distinguish the corresponding batteries subsequently, ensuring the safety of the batteries in the battery swapping cabinet during the charging process.

[0196] Among them, the preset difference is the preset difference of pixel values, which can be set artificially in advance. The preset threshold is the threshold for judging whether the number of infrared pixel points is abnormal, which can be set artificially in advance.

[0197] It is not difficult to understand that by precise coordinate correspondence and resolution matching, the accuracy of splitting the infrared image is ensured. Using multi-temporal data can detect abnormal thermal features that change over time, and automatically output analysis information about problems according to the calculated threshold, improving the detection efficiency.

[0198] C245, if it is judged that the number of infrared pixel points with a difference greater than the preset difference is less than or equal to the preset threshold number, then output analysis information without problems.

[0199] It can be understood that if the number of infrared pixel points with a difference 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 and there is no significant abnormality. Output analysis information without problems, indicating that the battery is in a normal charging state.

[0200] C3, if the analysis information meets the requirements, then generate a two-dimensional code and paste it on the battery to be detected based on the manipulator, and extract the characteristic information of the battery to be detected and merge it with the two-dimensional code for storage.

[0201] It can be understood that when the analysis information meets the requirements, it can indicate that the battery performs normally during the detection and there is no charging abnormality. Then, a corresponding two-dimensional code can be generated, and the manipulator in the battery swapping cabinet is used to automatically and accurately paste the generated two-dimensional code on the surface of the battery to be detected. Using the manipulator for pasting can improve the efficiency and accuracy of the production line, reduce the error of manual operation, and merge the identified characteristic information of the battery to be detected with the data of the generated two-dimensional code and store it in a centralized database. This enables each battery to have a complete data information record, facilitating subsequent traceability and management.

[0202] It is not difficult to understand that through the use of two-dimensional codes, rapid and accurate product traceability can be achieved. Especially when the battery is being charged, the characteristic information corresponding to the battery can be quickly located, and the merged stored data information provides a better information management means for enterprises, facilitating subsequent battery positioning and identification. The use of a manipulator to attach two-dimensional codes realizes a high degree of automation in the production process, improves production efficiency, and reduces potential manual errors during operation.

[0203] The present invention also provides a storage medium, in which a computer program is stored, and when the computer program is executed by a processor, it is used to implement the methods provided by the above various embodiments.

[0204] Among them, the storage medium can be a computer storage medium or a communication medium. A communication medium includes any medium that facilitates the transmission of a computer program from one place to another. A 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 (ASIC). In addition, the ASIC can be located in a user device. Of course, the processor and the storage medium can also exist as discrete components in a communication device. The storage medium can be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0205] The present invention also provides a program product, which includes execution instructions stored in a storage medium. At least one processor of the device can read the execution instructions from the storage medium, and the execution of the execution instructions by at least one processor causes the device to implement the methods provided by the above various embodiments.

[0206] In the above embodiments of the terminal or the server, it should be understood that the processor may be a central processing unit (Central Processing Unit, CPU for short), or may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP for short), application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in conjunction with the present invention may be directly embodied as being executed and completed by a hardware processor, or may be executed and completed by a combination of hardware and software modules in the processor.

[0207] 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 them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and 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 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; 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, including: 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, 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 image extracted by the white light image acquisition device based on the two-dimensional lateral image extraction and the target axis coordinate analysis and processing are performed to obtain the white light contour information of each group of two-dimensional lateral images, and the white light contour result as the characteristic information is obtained by analyzing the white light contour 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; Extract pixel points corresponding to pixel values ​​of non-to-be-detected batteries in the white light profile information as feature information, and obtain the white light profile result by integrating the feature information of all white light profile 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.

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: 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 1, 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.

7. The battery charging and replacing method according to claim 6, 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.

8. The battery charging and replacing method according to claim 1, 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.

9. The battery charging and replacing method according to claim 1, 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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