Visual analysis method, device, equipment, medium and product for lithium battery failure

Abstract

The present application discloses a method, device, equipment, medium and product for visual analysis of lithium battery failure, the method comprising: when the battery in the container device is triggered out of control, obtaining the key flue gas parameter value of the battery; based on the key flue gas parameter value and the flue gas distribution model of the container device, obtaining all the flue gas parameter values ​​in the entire spatial range of the container device; wherein the flue gas distribution model is constructed according to the first flue gas mapping relationship of the first plane and the second flue gas mapping relationship of the second plane, the first plane is a plane in the container device that is perpendicular to the flue gas eruption direction of the battery, and the second plane is a plane in the container device that is parallel to the flue gas eruption direction of the battery; visualizing all the flue gas parameter values ​​in the entire spatial range of the container device. The present application can determine all the flue gas parameter values ​​of each plane in the entire spatial range in a more fine-grained manner, facilitates intuitive visualization analysis of all the flue gas parameter values, and improves the accuracy of battery failure analysis.

Description

Technical Field

[0001] The present application relates to the field of battery technology, and in particular to a method, device, equipment, medium and product for visual analysis of lithium battery failure. Background Art

[0002] With the rapid development of new energy vehicles, power batteries, as the main energy source of new energy vehicles, have been widely used in the field of electric vehicles. In the process of using power batteries, when the battery is overcharged, over-discharged, short-circuited, or subjected to high temperature (such as external heating), the power battery may fail. After failure, the electrolyte often decomposes and produces gas and heat. The generated flammable gas faces the risk of combustion and explosion, which will cause secondary harm to the vehicle, passengers and the environment. In order to design batteries more safely and make the use of new energy vehicles safer, it is particularly important to quantitatively evaluate the hazards caused by power battery failure.

[0003] At present, data analysis algorithms are used in relevant technologies to evaluate the hazards of battery disasters. However, this solution can only conduct an overall analysis of the battery out-of-control results in the entire space. The analysis results are relatively simple and rough, resulting in low accuracy in the analysis of battery failures. Summary of the invention

[0004] The purpose of this application is to provide a visual analysis method, device, equipment, medium and product for lithium battery failure, which can determine all flue gas parameter values ​​of each plane within the entire spatial range in a more fine-grained manner, facilitate intuitive visual analysis of all flue gas parameter values, and improve the accuracy of battery failure analysis.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In a first aspect, the present application provides a method for visual analysis of lithium battery failure, comprising:

[0007] When the battery in the container device is triggered out of control, a key smoke parameter value of the battery is obtained; the key smoke parameter value includes at least one of the following: a smoke concentration value, a smoke pressure value, and an ambient temperature value of the environment in which the smoke is located;

[0008] Based on the key smoke parameter value and the smoke distribution model of the container device, all smoke parameter values ​​within the entire spatial range of the container device are obtained; wherein the smoke distribution model is constructed according to a first smoke mapping relationship of a first plane and a second smoke mapping relationship of a second plane, the first plane being a plane in the container device that is perpendicular to the smoke emission direction of the battery, and the second plane being a plane in the container device that is parallel to the smoke emission direction of the battery; the smoke distribution model is used to characterize the mapping relationship between the characteristic points in the container device and all smoke parameter values ​​within the entire spatial range;

[0009] All smoke parameter values ​​within the entire spatial range of the container equipment are visualized.

[0010] Optionally, the smoke distribution model is constructed by the following steps:

[0011] Acquire container device information and battery information; the battery is located at the center of the container device;

[0012] constructing a space model based on the container device information and the battery information;

[0013] Determine the smoke emission direction of the battery, and construct a first target plane and a second target plane in the space model according to the smoke emission direction; the first target plane is a plane perpendicular to the smoke emission direction of the battery and passing through the battery position, and the second target plane is a plane parallel to the smoke emission direction of the battery and passing through the battery position;

[0014] Based on the first target plane, determining a first smoke mapping relationship of the first plane, and based on the second target plane, determining a second smoke mapping relationship of the second plane;

[0015] The smoke distribution model is constructed according to the first smoke mapping relationship and the second smoke mapping relationship.

[0016] Optionally, based on the first target plane, determining a first smoke mapping relationship of the first plane specifically includes:

[0017] In the first target plane, construct a plurality of concentric circles with the battery position as the center;

[0018] Obtaining smoke parameter values ​​corresponding to each sensor in each concentric circle area in the container device; each sensor in the container device corresponds one-to-one to each feature point in the space model;

[0019] Performing fitting analysis on the smoke parameter values ​​corresponding to each sensor to obtain a smoke mapping relationship of the first target plane;

[0020] Based on the smoke mapping relationship of the first target plane, a first smoke mapping relationship of the first plane is determined.

[0021] Optionally, performing fitting analysis on the smoke parameter values ​​corresponding to each sensor to obtain the smoke mapping relationship of the first target plane specifically includes:

[0022] Performing a fitting analysis on the smoke parameter value corresponding to each sensor to determine the smoke parameter value corresponding to each characteristic point in each concentric circle in the spatial model;

[0023] Based on the flue gas parameter values ​​corresponding to the characteristic points, drawing isoparametric lines;

[0024] Acquire the position information of each sensor in the container device, and determine the position information of each feature point in the space model according to the position information of each sensor;

[0025] Based on the position information of each feature point and the isoparametric lines, a smoke mapping relationship of the first target plane is constructed.

[0026] Optionally, determining a first smoke mapping relationship of the first plane based on the smoke mapping relationship of the first target plane includes:

[0027] Obtaining smoke parameter values ​​corresponding to each characteristic point in the second target plane;

[0028] Determine the smoke mapping relationships of the remaining planes in the first plane according to the smoke mapping relationship of the first target plane and the smoke parameter values ​​corresponding to each characteristic point in the second target plane; wherein the remaining planes are planes parallel to the first target plane;

[0029] Based on the smoke mapping relationship of the first target plane and the smoke mapping relationships of the remaining planes, a first smoke mapping relationship of the first plane is determined.

[0030] Optionally, the concentric circles include a maximum concentric circle and a minimum concentric circle; the diameter of the minimum concentric circle is greater than or equal to a first distance threshold between two points in the first target plane; the diameter of the maximum concentric circle is less than or equal to a second distance threshold between two points in the first target plane; the first distance threshold is less than the second distance threshold.

[0031] Optionally, all smoke parameter values ​​within the entire spatial range of the container device are visualized, including:

[0032] A smoke distribution cloud map is generated according to all the smoke parameter values ​​and preset color coordinate parameters, so as to visualize all the smoke parameter values ​​through the smoke distribution cloud map.

[0033] In a second aspect, the present application provides a visual analysis device for lithium battery failure, comprising:

[0034] An acquisition module, used for acquiring a key flue gas parameter value of the battery when the battery in the container device is triggered out of control; the key flue gas parameter value includes at least one of the following: a flue gas concentration value, a flue gas pressure value, and an ambient temperature value of the environment in which the flue gas is located;

[0035] A determination module, configured to obtain all smoke parameter values ​​within the entire spatial range of the container device based on the key smoke parameter value and the smoke distribution model of the container device; wherein the smoke distribution model is constructed based on a first smoke mapping relationship of a first plane and a second smoke mapping relationship of a second plane, wherein the first plane is a plane in the container device that is perpendicular to the smoke emission direction of the battery, and the second plane is a plane in the container device that is parallel to the smoke emission direction of the battery; the smoke distribution model is used to characterize the mapping relationship between the characteristic points in the container device and all smoke parameter values ​​within the entire spatial range;

[0036] The visualization module is used to visualize all smoke parameter values ​​within the entire space of the container equipment.

[0037] In a third aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method for visual analysis of lithium battery failure described in any one of the above.

[0038] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the above-mentioned methods for visual analysis of lithium battery failure.

[0039] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of any of the above-mentioned methods for visual analysis of lithium battery failure.

[0040] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0041] The present application provides a method, device, equipment, medium and product for visual analysis of lithium battery failure. When the battery in the container device is triggered out of control, the key flue gas parameter value of the battery is obtained, and based on the key flue gas parameter value and the flue gas distribution model of the container device, all the flue gas parameter values ​​in the entire space of the container device are obtained, and then all the flue gas parameter values ​​in the entire space of the container device are visualized. Compared with the prior art, on the one hand, in this scheme, after obtaining the key flue gas parameters, the flue gas distribution model is used to obtain all the flue gas parameter values ​​in the entire space. Since the flue gas distribution model is constructed according to the first flue gas mapping relationship of the first plane and the second flue gas mapping relationship of the second plane in the container device, it can reflect the diffusion law of flue gas in different planes of the entire space during the failure of the lithium battery, so as to determine all the flue gas parameter values ​​of each plane in the entire space in a more fine-grained manner based on the diffusion law, thereby improving the accuracy of the determination of the flue gas parameter value; on the other hand, the visualization of all the flue gas parameter values ​​can more intuitively reflect the degree of influence of the flue gas in the battery out of control process on the entire space of the container device, further improving the accuracy of the battery failure analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 This is an application environment diagram of a visual analysis method for lithium battery failure in one embodiment of the present application;

[0044] Figure 2 A schematic diagram of a flow chart of a visual analysis method for lithium battery failure provided in one embodiment of the present application;

[0045] Figure 3 A schematic diagram of a method flow for constructing a smoke distribution model provided in an embodiment of the present application;

[0046] Figure 4 A schematic diagram of a flow chart of a method for constructing a smoke distribution model provided in another embodiment of the present application;

[0047] Figure 5 A schematic diagram of a smoke distribution cloud diagram of temperature values ​​provided in an embodiment of the present application;

[0048] Figure 6 A schematic diagram of functional modules of a visual analysis device for lithium battery failure provided in an embodiment of the present application;

[0049] Figure 7 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0051] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0052] The visual analysis method for lithium battery failure provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be set separately, integrated on the server 104, or placed on the cloud or other servers. The terminal 102 can send the key flue gas parameter value of the battery to the server 104. After the server 104 receives the key flue gas parameter value of the battery, for the key flue gas parameter value of the battery, the server 104 obtains all the flue gas parameter values ​​within the entire space of the container device based on the key flue gas parameter value and the flue gas distribution model of the container device. The server 104 can feedback all the obtained flue gas parameter values ​​to the terminal 102, so as to visualize all the flue gas parameter values ​​through the terminal 102. In addition, in some embodiments, the visualization analysis method of lithium battery failure can also be implemented by the server 104 or the terminal 102 alone, such as the terminal 102 can directly perform visualization analysis on all the flue gas parameter values, and obtain visualization analysis on all the flue gas parameter values, or the server 104 can obtain the key flue gas parameter value of the battery from the data storage system, and perform visualization analysis on the key flue gas parameter value. The smoke distribution model may be pre-stored in the server 104 .

[0053] The terminal 102 may be, but is not limited to, various desktop computers, laptop computers, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart vehicle-mounted devices, etc. The portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers, or may be a cloud server.

[0054] In an exemplary embodiment, Figure 2 As shown, a visual analysis method for lithium battery failure is provided. The method is executed by a computer device, and can be executed by a computer device such as a terminal or a server alone, or by a terminal and a server together. In the embodiment of the present application, the method is applied to Figure 1 The server 104 in the example is used as an example to illustrate, including the following steps 201 to 203. Among them:

[0055] Step 201, when the battery in the container device is triggered out of control, the key flue gas parameter value of the battery is obtained; the key flue gas parameter value includes at least one of the following: a flue gas concentration value, a flue gas pressure value, and an ambient temperature value of the environment in which the flue gas is located.

[0056] It should be noted that the above container device is a closed container, which can be a container with a regular shape or an irregular shape. The container with a regular shape can be, for example, a spherical container or a square container. The key flue gas parameter value of the above battery is the value measured by the sensor arranged at the key point in the container device. Taking the container device as a spherical container as an example, the key point can be located on a spherical surface with the battery as the center in the container device.

[0057] The sensor may be, for example, a smoke sensor, a temperature sensor, or a pressure sensor. Different sensors arranged differently may measure different smoke parameter values, wherein the smoke parameter values ​​measured by the smoke sensor may include smoke concentration values ​​and smoke components; the smoke parameter values ​​measured by the temperature sensor are ambient temperature values ​​of the environment in which the smoke is located, such as ambient temperature values ​​of container equipment; and the smoke parameter values ​​measured by the pressure sensor are pressure values.

[0058] Specifically, in order to determine the extent of the impact of the smoke during the runaway process of the battery to be tested on the entire spatial range of the container device, it is necessary to construct an application scenario for battery runaway. The battery can be placed in a closed container device, and the battery can be located in the center of the container device. Then, the battery runaway can be induced under controllable conditions. For example, the battery runaway can be induced by squeezing, acupuncture, overcharging, heating, etc., and a sensor is set in the closed container space. When the battery is triggered to run away, the sensor is used to detect the key smoke parameter values ​​in the closed container space, wherein the position of the sensor can be set on a spherical surface with the battery as the center of the sphere.

[0059] In this embodiment, when the battery in the container device is triggered out of control, the key flue gas parameter values ​​of the battery are obtained, and the distribution of colorless gas and physical quantities such as temperature and pressure in space can be detected. Different characteristic sensors are used for sampling and analysis of different flue gas components or temperatures, pressures, etc., so that the flue gas parameter values ​​can be obtained more accurately, providing data guidance information for the subsequent solution of all flue gas parameter values, so as to facilitate more accurate determination of all flue gas parameter values ​​in the entire space based on this information.

[0060] Step 202, based on the key smoke parameter values ​​and the smoke distribution model of the container device, obtain all smoke parameter values ​​within the entire spatial range of the container device; wherein the smoke distribution model is constructed based on a first smoke mapping relationship on a first plane and a second smoke mapping relationship on a second plane, and the smoke distribution model is used to characterize the mapping relationship between the feature points in the container device and all smoke parameter values ​​within the entire spatial range.

[0061] Specifically, the first plane is a plane in the container device that is perpendicular to the smoke emission direction of the battery, and the second plane is a plane in the container device that is parallel to the smoke emission direction of the battery; the first smoke mapping relationship refers to the mapping relationship between each first characteristic point in the first plane and the smoke parameter value, and the second smoke mapping relationship refers to the mapping relationship between each second characteristic point in the second plane and the smoke parameter value. The first characteristic point is a characteristic point in the first plane, and the second characteristic point is a characteristic point in the second plane.

[0062] The smoke distribution model is constructed based on the first smoke mapping relationship of the first plane and the second smoke mapping relationship of the second plane, and specifically, the mapping relationship between each first characteristic point in the first plane and the smoke parameter value and the mapping relationship between each second characteristic point in the second plane and the smoke parameter value are first obtained, and then the two smoke mapping relationships are integrated. The smoke distribution model can be pre-constructed based on historical data, or it can be constructed in real time during the visual analysis of battery failure, or it can be imported and obtained from an external device.

[0063] Among them, the first smoke mapping relationship of the first plane can be obtained by first obtaining the smoke mapping relationship of the first target plane in all planes perpendicular to the smoke emission direction of the battery, and then obtaining the first smoke mapping relationship of the first plane according to the smoke mapping relationship of the first target plane, and the first target plane can be one, two or more. Similarly, similar to the first smoke mapping relationship, the second smoke mapping relationship of the second plane can be obtained by first obtaining the smoke mapping relationship of the second target plane in all planes parallel to the smoke emission direction of the battery, and then obtaining the second smoke mapping relationship of the second plane according to the smoke mapping relationship of the second target plane, and the second target plane can be one, two or more. After obtaining the first mapping relationship and the second mapping relationship, the first mapping relationship and the second mapping relationship can be integrated to obtain the smoke distribution model of the container equipment.

[0064] It is understandable that each battery is generally provided with a pressure relief valve. When the battery is fixed in the container device, the direction of the pressure relief valve can be determined synchronously. The direction of the smoke eruption of the battery generally refers to the direction in which the smoke breaks through the pressure relief valve. The smoke can erupt in a direction perpendicular to the surface of the pressure relief valve. The direction in which the smoke of the battery breaks through the pressure relief valve can be in the vertical upward direction or vertical downward direction. Generally speaking, the battery is fixed vertically upward, the pressure relief valve faces upward, and the gas erupts vertically upward. Therefore, the direction of the smoke eruption of the battery is the vertical direction. When the smoke eruption direction of the battery is the vertical direction, the first plane refers to the plane perpendicular to the vertical direction, that is, the plane in the parallel direction, and the second plane is the plane parallel to the vertical direction, that is, the plane in the vertical direction.

[0065] The smoke distribution model in this step can reflect the diffusion law of smoke in different planes of the entire space during the failure of the lithium battery, which facilitates the subsequent more fine-grained determination of the smoke parameter values ​​of different planes in the entire space and improves the accuracy of parameter value determination.

[0066] Step 203: Visualize all smoke parameter values ​​within the entire spatial range of the container equipment.

[0067] It should be noted that the visualization of all flue gas parameter values ​​may be to present the data in a graphical manner, so as to directly present the information hidden in the data to the user, wherein the graphical manner may be in the form of a graph, a table, etc. For example, it may be a distribution cloud diagram, a table, a bar chart or other graphical manners.

[0068] Specifically, in the process of visualizing all smoke parameter values, all smoke parameter values ​​and preset coordinate parameters may be matched and corresponded according to the correspondence between the preset smoke parameter values ​​and the preset coordinate parameters, so as to generate a smoke distribution map, so as to visualize all smoke parameter values ​​through the smoke distribution map. Among them, the preset coordinate parameters may be presented in the form of height values ​​or in the form of pixel values, which are customized according to actual needs.

[0069] The present application provides a visualization analysis method for lithium battery failure. When the battery in the container device is triggered out of control, the key flue gas parameter value of the battery is obtained, and based on the key flue gas parameter value and the flue gas distribution model of the container device, all the flue gas parameter values ​​in the entire space of the container device are obtained, and then all the flue gas parameter values ​​in the entire space of the container device are visualized. Compared with the prior art, on the one hand, in this scheme, after obtaining the key flue gas parameters, the flue gas distribution model is used to obtain all the flue gas parameter values ​​in the entire space. Since the flue gas distribution model is constructed according to the first flue gas mapping relationship of the first plane in the container device and the second flue gas mapping relationship of the second plane, it can reflect the diffusion law of flue gas in different planes of the entire space during the failure of the lithium battery, so as to determine all the flue gas parameter values ​​of each plane in the entire space in a more fine-grained manner based on the diffusion law, and improve the accuracy of the determination of the flue gas parameter value; on the other hand, the visualization of all the flue gas parameter values ​​can more intuitively reflect the influence of the flue gas in the battery out of control process on the entire space of the container device, and further improve the accuracy of the battery failure analysis.

[0070] In another exemplary embodiment of the present application, in order to accurately determine all smoke parameter values ​​within the entire space of the container equipment, a smoke distribution model can be constructed, such as Figure 3 As shown, the above-mentioned smoke distribution model is replaced by the following steps 301 to 305:

[0071] Step 301, obtaining container device information and battery information; the battery is located at the center of the container device.

[0072] Specifically, the above-mentioned container device information may refer to the attribute information of the container device, for example, it may include information such as the size, dimensions, and boundary position of the enclosed space of the container device, and the battery information may include information such as the size, dimensions, and position of the battery in the container device.

[0073] The above-mentioned container device information and battery information may be obtained by importing from an external device, or by real-time measurement, or from a blockchain or a database. This embodiment does not limit the method for obtaining the container device information and the battery information.

[0074] Step 302: construct a space model based on the container device information and the battery information.

[0075] After obtaining the container device information and battery information, a spatial model can be constructed by calling a model construction application. The spatial model has a corresponding relationship with the container device. For example, a spatial model can be constructed using a three-dimensional modeling software. In the actual application scenario, the battery is used as the eruption source and can be located at the center of the container device. In the spatial model, the feature point corresponding to the battery is also located at the center of the spatial model.

[0076] Step 303, determine the smoke emission direction of the battery, and construct a first target plane and a second target plane in the space model according to the smoke emission direction; the first target plane is a plane perpendicular to the smoke emission direction of the battery and passing through the battery position, and the second target plane is a plane parallel to the smoke emission direction of the battery and passing through the battery position.

[0077] Step 304: determining a first smoke mapping relationship of the first plane based on the first target plane, and determining a second smoke mapping relationship of the second plane based on the second target plane.

[0078] Step 305: construct a smoke distribution model according to the first smoke mapping relationship and the second smoke mapping relationship.

[0079] Specifically, when the battery eruption direction is vertical, the plane in the space model that is perpendicular to the direction and passes through the battery position is used as the first target plane, and the plane in the space model that is parallel to the direction and passes through the battery position is used as the second target plane. After determining the first target plane, determine the first smoke mapping relationship of the first plane, and based on the second target plane, determine the second smoke mapping relationship of the second plane, and integrate the first smoke mapping relationship and the second smoke mapping relationship to construct a smoke distribution model.

[0080] In one embodiment, see Figure 4 As shown, after determining the first target plane, the embodiment of the present application further provides a specific implementation method for determining the first smoke mapping relationship of the first plane, and the method includes:

[0081] Step 401 : construct multiple concentric circles in a first target plane with the battery position as the center.

[0082] Step 402, obtaining the smoke parameter value corresponding to each sensor in each concentric circle area in the container device, wherein each sensor in the container device corresponds one-to-one to each feature point in the space model.

[0083] Step 403 , performing fitting analysis on the smoke parameter values ​​corresponding to each sensor to obtain a smoke mapping relationship of the first target plane.

[0084] Step 404: determine a first smoke mapping relationship of a first plane based on the smoke mapping relationship of a first target plane.

[0085] It should be noted that each of the above concentric circles corresponds to a group of sensors, and the position of the same group of sensors is located on a straight line passing through the battery position within the concentric circle area of ​​the container device. In the process of arranging sensors in each concentric circle, it can be generally considered that the closer to the battery (eruption source), the denser the sensor arrangement. The number of sensors can be two or more, and the center of the circle is the center of the container device or the center of the battery. For the convenience of calculation, the radius ratio of two adjacent concentric circles can be set to .

[0086] The above concentric circles may include the largest concentric circle and the smallest concentric circle; the largest concentric circle refers to the concentric circle with the largest diameter among all the concentric circles, and the largest concentric circle refers to the concentric circle with the smallest diameter among all the concentric circles. The diameter of the smallest concentric circle is greater than or equal to the first distance threshold between the two points in the first target plane; the diameter of the largest concentric circle is less than or equal to the second distance threshold between the two points in the target plane; the first distance threshold is less than the second distance threshold.

[0087] It can be understood that when the first target plane is a circular surface, the first distance threshold between two points in the first target plane may refer to 10% of the maximum diameter of the circular surface passing through the center of the circle in the first target plane, and the second distance threshold between the two points in the first target plane may refer to 90% of the maximum diameter of the circular surface passing through the center of the circle in the second target plane, and the first distance threshold and the second distance threshold may be customized according to the actual size and requirements.

[0088] Among them, each sensor in each concentric circle area in the above-mentioned container device can be a smoke sensor for detecting smoke composition or concentration, or a pressure sensor for detecting smoke pressure, or a temperature sensor for detecting temperature.

[0089] As an implementable method, taking the sensor as a flue gas sensor as an example, after constructing multiple concentric circles, the flue gas parameter values ​​corresponding to each flue gas sensor in each concentric circle area can be obtained in order from small to large radius. For example, the flue gas parameter values ​​corresponding to each flue gas sensor in the concentric circle with the smallest radius are first detected. For the concentric circle with the smallest diameter, detachable flue gas sensors are arranged at equal intervals along the arc of the smallest concentric circle in a closed space. Then, the space is closed and triggered to emit smoke when the battery fails. The flue gas parameter values ​​collected by the flue gas sensor on the concentric circle with the smallest diameter are recorded. Further, the flue gas parameter values ​​collected by the flue gas sensor corresponding to each concentric circle area are obtained in order from small to large radius of the concentric circle.

[0090] As another feasible method, the smoke parameter values ​​corresponding to each smoke sensor in each concentric circle area can be obtained in order from large to small radius. For example, the smoke parameter values ​​corresponding to each smoke sensor in the concentric circle with the largest radius are first detected. For the concentric circle with the largest diameter, detachable smoke sensors are arranged at equal intervals along the arc of the largest concentric circle in a closed space. Then, the space is closed and the smoke eruption is triggered, and the parameter values ​​collected by the smoke sensor on the concentric circle with the largest diameter are recorded. Further, the smoke parameter values ​​collected by the smoke sensor corresponding to each concentric circle area are obtained in order from large to small.

[0091] As another feasible method, a concentric circle area may be randomly selected, and detachable smoke sensors may be arranged at equal intervals along the arc of the concentric circle in a closed space. Then, the battery may be closed and triggered to emit smoke within the space, and the parameter value collected by the smoke sensor on the concentric circle may be recorded. Then, other concentric circles may be traversed until the smoke parameter values ​​corresponding to the smoke sensors in all concentric circle areas are obtained.

[0092] Among them, the smoke sensor may include a gas component detection sensor and a concentration sensor, the gas component sensor may include a solid component detection sensor and a gas component detection sensor, the solid component sensor may, for example, include solid particle sensors such as PM2.5 and PM10, and the gas component detection sensor may include gas component sensors such as CO, CO2, H2, and CH4.

[0093] After obtaining the flue gas parameter values ​​corresponding to each sensor in each concentric circle area in the container device, a fitting analysis can be performed on the flue gas parameter values ​​corresponding to each sensor to determine the flue gas parameter values ​​corresponding to each feature point in each concentric circle in the spatial model. Based on the flue gas parameter values ​​corresponding to each feature point, isoparametric lines are drawn to obtain the position information of each sensor in the container device, determine the position information of each feature point in the spatial model based on the position information of each sensor, and construct the flue gas mapping relationship of the first target plane based on the position information of each feature point and the isoparametric lines.

[0094] It can be understood that an isoparametric line is a closed curve connecting adjacent points with equal parameter values.

[0095] Specifically, the container equipment in the actual scene corresponds to the constructed spatial model, and the sensors set in the areas on each concentric circle in the container equipment correspond to each feature point of each concentric circle in the spatial model. The linear fitting method is used to fit and analyze the smoke parameter value corresponding to each sensor, and the smoke parameter value corresponding to each feature point in each concentric circle in the spatial model is obtained. The results of different sensors on different concentric circles are connected together by finding the smoke parameter values ​​with the same value, and the isoparametric lines are drawn. In the actual scene, it is difficult to get the same result for each measured smoke parameter value in different areas. Therefore, the interpolation algorithm can be used to obtain the data of each point on the straight line where the sensor is located, and then the points of the same smoke parameter value on different straight lines are connected together to form isoparametric lines. Among them, when the sensor is a smoke sensor, the isoparametric line can be an isoconcentration line; when the sensor is a temperature sensor, the isoparametric line can be an isothermal line; when the sensor is a pressure sensor, the isoparametric line can be an isopressure line.

[0096] After drawing the isoparametric lines, the position information of each sensor in the container device can be obtained. According to the mapping relationship between the container device and the spatial model, the position information of each feature point in the spatial model can be determined based on the position information of each sensor. The position relationship of each feature point can be the polar coordinates of a feature point in the spatial model. Then, according to the position information of each feature point and the isoparametric lines, the smoke mapping relationship of the first target plane is constructed. The position relationship of each sensor can be represented by G (ρ1, θ1, z1), G is the smoke parameter value of each feature point in the first target plane, (ρ1, θ1) is the polar coordinates of any feature point in the first target plane, z1 is the vertical height of each feature point in the first target plane, and since the height of each feature point in the first target plane is consistent, z1 is 0.

[0097] Among them, the position of any feature point P on the plane can be determined by the length ρ of the line segment OP and the angle θ from Ox to OP. The ordered pair (ρ, θ) is called the polar coordinates of point P, denoted as P (ρ, θ); ρ is called the polar diameter of point P, and θ is called the polar angle of point P.

[0098] Step 405: Determine a second smoke mapping relationship of a second plane based on the second target plane.

[0099] It can be understood that the plane passing through the battery position and parallel to the direction of smoke emission is called the second plane. Similarly, for the second plane, similar to the process of determining the smoke mapping relationship of the first target plane, the second smoke mapping relationship of the second plane can be determined based on the second target plane. The specific process is to first construct multiple concentric circles in the second target plane with the battery position as the center, and obtain the smoke parameter values ​​corresponding to each sensor in each concentric circle area in the container equipment, and then perform fitting analysis on the smoke parameter values ​​corresponding to each sensor to obtain the smoke mapping relationship of the second target plane. The smoke mapping relationship of the second target plane can be expressed by H(ρ2, θ2, z2), where H is the smoke parameter value of each feature point of the second target plane, (ρ2, θ2) is the polar coordinates of any feature point in the second target plane, and z2 is the vertical height value of each feature point in the second target plane.

[0100] Further, after obtaining the smoke mapping relationship of the first target plane and the smoke mapping relationship of the second target plane, the first smoke mapping relationship of the first plane can be determined based on the smoke mapping relationship of the first target plane, and the second smoke mapping relationship of the second plane can be determined based on the smoke mapping relationship of the second target plane. In the process of determining the first smoke mapping relationship of the first plane, the smoke parameter values ​​corresponding to each feature point in the second target plane can be first obtained, and the smoke mapping relationships of the remaining planes in the first plane can be determined according to the smoke mapping relationship of the first target plane and the smoke mapping relationship of the remaining planes; wherein the remaining planes are planes parallel to the first target plane, and then the first smoke mapping relationship of the first plane is determined based on the smoke mapping relationship of the first target plane and the smoke mapping relationships of the remaining planes.

[0101] In this embodiment, the smoke mapping relationship of the first target plane can be expanded in three dimensions. In the first target plane, the smoke parameter value of each feature point conforms to G(ρ1, θ1, z1), and the smoke parameter value corresponding to each feature point in the second target plane is obtained. The mapping relationship can be "projected" onto the remaining planes of the first plane, and then the smoke parameter value corresponding to each feature point in the second target plane is substituted to obtain the smoke mapping relationship of the remaining planes in the first plane. Then, the smoke mapping relationship of the first target plane and the smoke mapping relationship of the remaining first planes are integrated to obtain a smoke distribution set, and then the smoke distribution set is used as the first smoke mapping relationship of the first plane. Similarly, for the second target plane, the smoke parameter value of each feature point conforms to H(ρ2, θ2, z2), and the smoke parameter value corresponding to each feature point in the first target plane is obtained. The mapping relationship can be "projected" to the remaining second planes of the second plane, and then the smoke parameter value corresponding to each feature point in the first target plane is substituted to obtain the smoke mapping relationship of the remaining planes in the second plane. Then, the smoke mapping relationship of the second target plane and the smoke mapping relationship of the remaining second planes are integrated to obtain a smoke distribution set, and then the smoke distribution set is used as the second smoke mapping relationship of the second plane.

[0102] The first smoke mapping relationship of the first plane and the second smoke mapping relationship of the second plane are integrated to construct a smoke distribution model. The smoke distribution model can be represented by F(ρ, θ, z), wherein F is the smoke parameter value of any feature point in the entire spatial range, (ρ, θ) is the polar coordinates of any feature point in the entire spatial range, and z is the vertical height value of any feature point in the entire spatial range.

[0103] Optionally, after constructing the smoke distribution model, all smoke parameter values ​​within the entire spatial range of the container equipment are obtained based on the key smoke parameter values ​​and the smoke distribution model. Since the smoke distribution model includes smoke parameter values ​​corresponding to different characteristic points within the entire spatial range of the container equipment, the key smoke parameter values ​​are substituted into the constructed smoke distribution model to obtain all smoke parameter values ​​within the entire spatial range.

[0104] In the embodiment of the present application, by establishing the first target plane and the second target plane, and arranging corresponding sensors in the first target plane and the second target plane, the distribution of physical quantities such as colorless gas, temperature and pressure in space can be detected, and since the flue gas sensors are arranged in different plane areas, the distribution and concentration values ​​of various components in the flue gas can be analyzed more accurately, avoiding the unreasonable speculation problems introduced in the process of generalizing a single phenomenon to multiple gases. And by arranging corresponding sensors for different flue gas parameter values, different parameters can be visualized and analyzed in a more fine-grained manner, improving the accuracy of battery failure analysis.

[0105] In one embodiment, in order to make the display of all smoke parameter values ​​more intuitive, the embodiment of the present application provides a specific implementation method for visualizing all smoke parameter values, specifically including:

[0106] A smoke distribution cloud map is generated according to all smoke parameter values ​​and preset color coordinate parameters, so as to visualize all smoke parameter values ​​through the smoke distribution cloud map.

[0107] It should be noted that when the sensor arranged in the container equipment is a flue gas sensor, the obtained flue gas parameter value is the flue gas concentration value; when the sensor arranged in the container equipment is a pressure sensor, the obtained flue gas parameter value is the flue gas pressure value; when the sensor arranged in the container equipment is a temperature sensor, the obtained flue gas parameter value is the ambient temperature value.

[0108] After all the smoke parameter values ​​are obtained, a smoke distribution cloud map corresponding to each feature point in the entire space range can be established according to the pre-established correspondence between the smoke parameter values ​​and the preset coordinate parameters.

[0109] The preset color coordinate parameters are customized according to actual needs. Different smoke parameter values ​​correspond to different color coordinate parameters. Taking the smoke parameter value as the temperature value as an example, the corresponding smoke distribution cloud map can be found in Figure 5 As shown. Figure 5 It can be seen that from bottom to top, the color of the smoke distribution cloud map gradually deepens, and the corresponding ambient temperature value gradually increases.

[0110] In this embodiment, by visualizing all flue gas parameter values ​​within the entire space range of the container device, all flue gas parameter values ​​within the entire space range can be displayed more intuitively, which is convenient for subsequent analysis of battery failure performance and provides good data guidance information.

[0111] The present application also provides an application scenario, which applies the above-mentioned visualization analysis method of lithium battery failure. Specifically: The visualization analysis method of lithium battery failure provided in this embodiment can be applied in the lithium battery detection scenario. Taking the battery as a lithium battery as an example, after obtaining the lithium battery, the lithium battery failure can be triggered, and the smoke parameter value generated during the lithium battery failure can be visualized and analyzed, and the disaster hazard of the lithium battery can be evaluated according to the analysis results. The smoke parameter value is used to reflect the degree of influence on various parts of the spatial environment during the lithium battery failure process, which may include smoke composition, smoke concentration, smoke pressure, ambient temperature, etc. The visualization analysis method of lithium battery failure provided in this embodiment belongs to the visualization analysis link of battery failure. Specifically, in the visualization analysis process for lithium battery failure, the lithium battery can be triggered to fail, the key smoke parameter value of the battery can be obtained, and based on the key smoke parameter value and the smoke distribution model of the container equipment, all the smoke parameter values ​​in the entire space range of the container equipment can be obtained, and then all the smoke parameter values ​​in the entire space range of the container equipment can be visualized.

[0112] The visualization analysis method for lithium battery failure provided in the embodiment of the present application can more accurately determine the total smoke parameter values ​​of each plane within the entire space range based on the actually collected key smoke parameter values ​​and the constructed smoke distribution model, thereby improving the accuracy of the smoke parameter value determination, providing data guidance information for the subsequent assessment of battery disaster hazards, and using all smoke parameter values ​​as original information to draw a smoke distribution cloud map in the entire container space, thereby realizing a visualization analysis of the smoke distribution in the space, and further improving the accuracy of battery failure analysis.

[0113] Based on the same inventive concept, the embodiment of the present application also provides a device for realizing the above-mentioned visualization analysis of lithium battery failure. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in the embodiments of one or more visualization analysis devices for lithium battery failure provided below can refer to the limitations of the visualization analysis method for lithium battery failure above, and will not be repeated here.

[0114] In an exemplary embodiment, Figure 6 As shown, a visual analysis device for lithium battery failure is provided, comprising:

[0115] The acquisition module 510 is used to acquire the key flue gas parameter value of the battery when the battery in the container device is triggered out of control; the key flue gas parameter value includes at least one of the following: a flue gas concentration value, a flue gas pressure value, and an ambient temperature value of the environment in which the flue gas is located;

[0116] A determination module 520 is used to obtain all smoke parameter values ​​within the entire spatial range of the container device based on the key smoke parameter values ​​and the smoke distribution model of the container device; wherein the smoke distribution model is constructed based on a first smoke mapping relationship of a first plane and a second smoke mapping relationship of a second plane, the first plane being a plane in the container device that is perpendicular to the smoke emission direction of the battery, and the second plane being a plane in the container device that is parallel to the smoke emission direction of the battery; the smoke distribution model is used to characterize the mapping relationship between the characteristic points in the container device and all smoke parameter values ​​within the entire spatial range;

[0117] The visualization module 530 is used to visualize all smoke parameter values ​​within the entire spatial range of the container equipment.

[0118] As an optional implementation, the smoke distribution model is constructed through the following steps:

[0119] Get container device information and battery information; the battery is located in the center of the container device;

[0120] Based on the container equipment information and battery information, a space model is constructed;

[0121] Determine the smoke emission direction of the battery, and construct a first target plane and a second target plane in the space model according to the smoke emission direction; the first target plane is a plane perpendicular to the smoke emission direction of the battery and passing through the battery position, and the second target plane is a plane parallel to the smoke emission direction of the battery and passing through the battery position;

[0122] Based on the first target plane, determining a first smoke mapping relationship of the first plane, and based on the second target plane, determining a second smoke mapping relationship of the second plane;

[0123] A smoke distribution model is constructed according to the first smoke mapping relationship and the second smoke mapping relationship.

[0124] As an optional implementation, the above device is specifically used for:

[0125] In the first target plane, a plurality of concentric circles are constructed with the battery position as the center;

[0126] Obtain the smoke parameter values ​​corresponding to each sensor in each concentric circle area in the container device; each sensor in the container device corresponds one-to-one to each feature point in the space model;

[0127] Perform fitting analysis on the smoke parameter values ​​corresponding to each sensor to obtain the smoke mapping relationship of the first target plane;

[0128] Based on the smoke mapping relationship of the first target plane, a first smoke mapping relationship of the first plane is determined.

[0129] As an optional implementation, the above device is also used for:

[0130] Perform fitting analysis on the smoke parameter values ​​corresponding to each sensor to determine the smoke parameter values ​​corresponding to each characteristic point in each concentric circle in the spatial model;

[0131] Based on the flue gas parameter values ​​corresponding to each characteristic point, draw isoparametric lines;

[0132] Obtaining the position information of each sensor in the container device, and determining the position information of each feature point in the space model according to the position information of each sensor;

[0133] Based on the position information of each feature point and the isoparametric lines, a smoke mapping relationship of the first target plane is constructed.

[0134] As an optional implementation, the above device is also used for:

[0135] Obtaining smoke parameter values ​​corresponding to each characteristic point in the second target plane;

[0136] Determine the smoke mapping relationships of the remaining planes in the first plane according to the smoke mapping relationship of the first target plane and the smoke parameter values ​​corresponding to each characteristic point in the second target plane; wherein the remaining planes are planes parallel to the first target plane;

[0137] Based on the smoke mapping relationship of the first target plane and the smoke mapping relationships of the remaining planes, a first smoke mapping relationship of the first plane is determined.

[0138] As an optional implementation, the above device is also used for:

[0139] The concentric circles include a maximum concentric circle and a minimum concentric circle; the diameter of the minimum concentric circle is greater than or equal to a first distance threshold between two points in the first target plane; the diameter of the maximum concentric circle is less than or equal to a second distance threshold between two points in the first target plane; the first distance threshold is less than the second distance threshold.

[0140] As an optional implementation, the visualization module 530 is specifically used for:

[0141] A smoke distribution cloud map is generated according to all smoke parameter values ​​and preset color coordinate parameters, so as to visualize all smoke parameter values ​​through the smoke distribution cloud map.

[0142] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 7As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store video tag processing data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a visual analysis method for lithium battery failure is realized.

[0143] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0144] In an exemplary embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0145] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0146] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0147] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0148] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0149] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0150] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0151] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A visual analysis method for lithium battery failure, characterized in that: The visual analysis method for lithium battery failure includes: When the battery in the container device is triggered out of control, a key smoke parameter value of the battery is obtained; the key smoke parameter value includes at least one of the following: a smoke concentration value, a smoke pressure value, and an ambient temperature value of the environment in which the smoke is located; Based on the key smoke parameter value and the smoke distribution model of the container device, all smoke parameter values ​​within the entire spatial range of the container device are obtained; wherein the smoke distribution model is constructed according to a first smoke mapping relationship of a first plane and a second smoke mapping relationship of a second plane, the first plane being a plane in the container device that is perpendicular to the smoke emission direction of the battery, and the second plane being a plane in the container device that is parallel to the smoke emission direction of the battery; the smoke distribution model is used to characterize the mapping relationship between the characteristic points in the container device and all smoke parameter values ​​within the entire spatial range; the first smoke mapping relationship refers to the mapping relationship between each first characteristic point in the first plane and the smoke parameter value, the second smoke mapping relationship refers to the mapping relationship between each second characteristic point in the second plane and the smoke parameter value, the first characteristic point is a characteristic point in the first plane, and the second characteristic point is a characteristic point in the second plane; All smoke parameter values ​​within the entire spatial range of the container equipment are visualized.

2. The visual analysis method for lithium battery failure according to claim 1, characterized in that: The smoke distribution model is constructed by the following steps: Acquire container device information and battery information; the battery is located at the center of the container device; constructing a space model based on the container device information and the battery information; Determine the smoke emission direction of the battery, and construct a first target plane and a second target plane in the space model according to the smoke emission direction; the first target plane is a plane perpendicular to the smoke emission direction of the battery and passing through the battery position, and the second target plane is a plane parallel to the smoke emission direction of the battery and passing through the battery position; Based on the first target plane, determining a first smoke mapping relationship of the first plane, and based on the second target plane, determining a second smoke mapping relationship of the second plane; The smoke distribution model is constructed according to the first smoke mapping relationship and the second smoke mapping relationship.

3. The visual analysis method for lithium battery failure according to claim 2, characterized in that: Determining a first smoke mapping relationship of the first plane based on the first target plane specifically includes: In the first target plane, construct a plurality of concentric circles with the battery position as the center; Obtaining smoke parameter values ​​corresponding to each sensor in each concentric circle area in the container device; each sensor in the container device corresponds one-to-one to each feature point in the space model; Performing fitting analysis on the smoke parameter values ​​corresponding to each sensor to obtain a smoke mapping relationship of the first target plane; Based on the smoke mapping relationship of the first target plane, a first smoke mapping relationship of the first plane is determined.

4. The visual analysis method for lithium battery failure according to claim 3, characterized in that: Performing a fitting analysis on the smoke parameter values ​​corresponding to each sensor to obtain a smoke mapping relationship of the first target plane specifically includes: Performing a fitting analysis on the smoke parameter value corresponding to each sensor to determine the smoke parameter value corresponding to each characteristic point in each concentric circle in the spatial model; Based on the flue gas parameter values ​​corresponding to the characteristic points, drawing isoparametric lines; Acquire the position information of each sensor in the container device, and determine the position information of each feature point in the space model according to the position information of each sensor; Based on the position information of each feature point and the isoparametric lines, a smoke mapping relationship of the first target plane is constructed.

5. The visual analysis method for lithium battery failure according to claim 3, characterized in that: Determining a first smoke mapping relationship of the first plane based on the smoke mapping relationship of the first target plane includes: Obtaining smoke parameter values ​​corresponding to each characteristic point in the second target plane; Determine the smoke mapping relationships of the remaining planes in the first plane according to the smoke mapping relationship of the first target plane and the smoke parameter values ​​corresponding to each characteristic point in the second target plane; wherein the remaining planes are planes parallel to the first target plane; Based on the smoke mapping relationship of the first target plane and the smoke mapping relationships of the remaining planes, a first smoke mapping relationship of the first plane is determined.

6. The visual analysis method for lithium battery failure according to claim 3, characterized in that: The concentric circles include a maximum concentric circle and a minimum concentric circle; the diameter of the minimum concentric circle is greater than or equal to a first distance threshold between two points in the first target plane; the diameter of the maximum concentric circle is less than or equal to a second distance threshold between two points in the first target plane; the first distance threshold is less than the second distance threshold.

7. The visual analysis method for lithium battery failure according to claim 1, characterized in that: Visualize all smoke parameter values ​​within the entire space of the container equipment, including: A smoke distribution cloud map is generated according to all the smoke parameter values ​​and preset color coordinate parameters, so as to visualize all the smoke parameter values ​​through the smoke distribution cloud map.

8. A visual analysis device for lithium battery failure, characterized in that: The visual analysis device for lithium battery failure comprises: An acquisition module, used for acquiring a key flue gas parameter value of the battery when the battery in the container device is triggered out of control; the key flue gas parameter value includes at least one of the following: a flue gas concentration value, a flue gas pressure value, and an ambient temperature value of the environment in which the flue gas is located; A determination module, configured to obtain all smoke parameter values ​​within the entire spatial range of the container device based on the key smoke parameter value and the smoke distribution model of the container device; wherein the smoke distribution model is constructed based on a first smoke mapping relationship in a first plane and a second smoke mapping relationship in a second plane, the first plane being a plane in the container device that is perpendicular to the smoke emission direction of the battery, and the second plane being a plane in the container device that is parallel to the smoke emission direction of the battery; the smoke distribution model is used to characterize the mapping relationship between the characteristic points in the container device and all smoke parameter values ​​within the entire spatial range; the first smoke mapping relationship refers to the mapping relationship between each first characteristic point in the first plane and the smoke parameter value, the second smoke mapping relationship refers to the mapping relationship between each second characteristic point in the second plane and the smoke parameter value, the first characteristic point is a characteristic point in the first plane, and the second characteristic point is a characteristic point in the second plane; The visualization module is used to visualize all smoke parameter values ​​within the entire space of the container equipment.

9. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method for visual analysis of lithium battery failure described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the visual analysis method for lithium battery failure described in any one of claims 1 to 7 are implemented.

11. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the visual analysis method for lithium battery failure described in any one of claims 1 to 7 are implemented.

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