A lithium battery kiln sintering particle distribution uniformity identification system

Abstract

The present invention relates to the field of lithium battery production technology, and specifically to a lithium battery kiln sintered particle distribution uniformity identification system, comprising: a camera module, used to collect image data of sintered particles contained in a lithium battery kiln sintered particle containing dish; an extraction module, used to receive the sintered particle image data collected by the camera module, and extract the sintered particle distribution area image from the sintered particle image data; an identification module, used to obtain the sintered particle distribution area image extracted by the extraction module. The present invention effectively determines the uniformity of the lithium battery kiln sintered particles by collecting, processing and analyzing the lithium battery kiln sintered particle image data, and when the result of the lithium battery kiln sintered particle uniformity analysis is that the lithium battery kiln sintered particles are uneven, the uneven area is marked in the collected lithium battery kiln sintered particle image data, thereby assisting the lithium battery kiln sintered particle production management personnel to more efficiently locate the lithium battery kiln sintered particle defects.

Description

Technical Field

[0001] The present invention relates to the technical field of lithium battery production, and in particular to a system for identifying the uniformity of sintered particle distribution in a lithium battery kiln. Background Art

[0002] Lithium battery kiln-sintered pellets are produced during the lithium battery material preparation process. Various raw materials are first powdered and mixed in specific proportions. This powder mixture undergoes chemical reactions, crystal structure transformations, and particle fusion and growth during the high-temperature sintering process in a lithium battery kiln, ultimately forming pellets with specific structures and properties.

[0003] Lithium battery kiln sintered pellets are a key material in the manufacture of lithium-ion batteries, providing stable performance and long battery life. In the electric vehicle sector, they help improve vehicle range and power performance. Furthermore, when used in energy storage systems, they enable efficient storage and release of electrical energy, helping to balance supply and demand on the power grid. For example, they play a key role in the storage of renewable energy sources such as solar and wind power, ensuring a stable supply of unstable energy.

[0004] However, during the sintering process of such particles in a lithium battery kiln, the sintered particles may be unevenly distributed due to the unstable sintering environment provided by the lithium battery kiln, which directly affects the tap density of the material when it is later used in manufacturing, and further affects the product performance.

[0005] To this end, we proposed a lithium battery kiln sintering particle distribution uniformity identification system. Summary of the Invention

[0006] In view of the above-mentioned shortcomings of the prior art, the present invention provides a lithium battery kiln sintering particle distribution uniformity identification system, which solves the technical problems raised in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] A system for identifying the uniformity of sintered particle distribution in a lithium-ion furnace comprises: a camera module for collecting image data of sintered particles contained in a sintered particle holding dish in the lithium-ion furnace; an extraction module for receiving the sintered particle image data collected by the camera module and extracting an image of a sintered particle distribution area from the sintered particle image data; an identification module for obtaining the image of the sintered particle distribution area extracted by the extraction module and identifying a sintered particle contour image in the sintered particle distribution area image; an analysis module for receiving the sintered particle contour image identified in the identification module, picking up contours containing concave edges and contours without concave edges in the sintered particle contour image, and analyzing whether the distribution of sintered particles in the lithium-ion furnace is uniform based on the two types of contours; a sniffing module for reading the analysis result of the uniformity of the sintered particle distribution in the analysis module and sniffing the uneven distribution area of ​​the sintered particles in the lithium-ion furnace when the analysis result is uneven; and an output module for outputting the uneven area sniffed by the sniffing module.

[0009] Furthermore, when the camera module collects the image data of the sintered particles, the collection end of the camera module is opposite to the center of the upper opening of the sintered particle holding dish, and the boundary of the camera module collecting the image data of the sintered particles does not exceed the inner bottom surface of the sintered particle holding dish;

[0010] The camera module is internally provided with submodules, including:

[0011] A detection unit is used to detect the clarity of the sintered particle image data collected by the camera module, and decide whether to control the camera module to operate again based on the clarity of the sintered particle image;

[0012] Among them, the detection unit is triggered to run after the camera module completes the acquisition of sintered particle image data. During the operation phase, the detection unit obtains the sintered particle image data, segments the sintered particle image data to obtain sub-sintered particle image data, and decides whether to control the camera module to run again based on the clarity of the sub-sintered particle image data.

[0013] Furthermore, when the detection unit segments the sintered particle image data, the following steps are followed: the sintered particle image data is segmented evenly so that the sizes and shapes of the sub-sintered particle image data obtained in each segmentation group are equal;

[0014] The initial default segmentation operation of the sintered particle image data is set to: segment into 3×3 groups of sub-sintered particle image data;

[0015] The clarity of the sintered particle image data in the detection unit is expressed as:

[0016]

[0017] Where: C is the image clarity value; M and N are the width and height of the image; Gx , G y is the gradient of the x position in the horizontal direction of the image and the gradient of the y position in the vertical direction of the image; ε is the judgment value; C MAX 、C MIN is the maximum image clarity performance value and the minimum image clarity performance value; is the average image clarity performance value;

[0018] in, Represents the gradient value at the (x, y) coordinate in the image. The larger the image clarity performance value C is, the clearer the image is. Conversely, the image is more blurred. The calculation target of formula (1) is each group of sub-sintered particle image data obtained by segmentation. The image clarity performance values ​​corresponding to each group of sub-sintered particle image data output based on formula (1) are recorded as: C1, C2, C3, ..., and the average image clarity performance value is That is, the result of summing and averaging C1, C2, C3, ..., C MAX 、C MIN The maximum and minimum values ​​of sources C1, C2, C3, ..., when formula (2) is not established, the camera module refreshes and runs again to execute the acquisition operation of sintered particle image data, and discards the sintered particle image data acquired in the previous operation until formula (2) is established.

[0019] Furthermore, the extraction module is provided with submodules at the lower level, including:

[0020] A setting unit, configured to set an image background hue threshold of sintered particle image data;

[0021] A capture unit, configured to capture pixels that meet an image background hue threshold in the sintered particle image data;

[0022] In the operation phase of the extraction module, the pixels captured by the capture unit are searched in the sintered particle image data, and pixels other than those captured by the capture unit are taken as extraction targets. The set of extraction targets is the sintered particle distribution area image.

[0023] Furthermore, during the operation phase of the recognition module, edge pixels in the image of the sintered particle distribution area are preferentially captured, and each edge pixel is used as a recognition target. The maximum hue, minimum hue, maximum color feature vector, minimum color feature vector, maximum gradient, and minimum gradient of the recognition target are obtained. Three sets of thresholds are set based on the hue, gradient, and color feature vector, and recorded as sintered particle outline pixel determination thresholds.

[0024] The three groups of sintered particle outline pixel determination thresholds are compared with each pixel in the sintered particle distribution area image to obtain pixels that meet the three groups of sintered particle outline pixel determination thresholds at the same time, and the pixels that are not obtained in the sintered particle distribution area image are discarded. The points and lines are further captured and deleted in the image presented by the remaining pixels. The image presented by the remaining pixels after the point and line capture and deletion processing is the sintered particle outline image recognized by the recognition module.

[0025] Furthermore, the inner concave edge is an inwardly arched contour line on the contour of the sintered particle, and the contour containing the inner concave edge has at least one group of inner concave edges, and the contour containing the inner concave edge includes a contour composed entirely of inner concave edges connected to each other;

[0026] The analysis module is internally provided with submodules, including:

[0027] A division unit is used to obtain the center points of each group of contours without concave edges, select the center points of no less than one-third of the number of contours without concave edges, and obtain a plurality of groups of triangular areas by connecting the adjacent center points of each group;

[0028] Among them, when selecting center points that are not less than one-third of the number of contours without concave edges, it is followed that the more contours without concave edges there are, the more center points there are to be selected, and vice versa.

[0029] Furthermore, the division unit is provided with submodules at the lower level, including:

[0030] An evaluation unit is configured to receive the triangular areas obtained by the division unit, confirm the complete contours containing inward concave edges in each triangular area, and evaluate the symmetry of the distribution of sintered particles in the lithium battery kiln based on the complete contours containing inward concave edges confirmed in each triangular area;

[0031] Among them, the incomplete contour containing concave edges in each triangular area is the contour where the contour line of the contour containing concave edges intersects with the boundary of the triangular area. The evaluation unit is set with a lithium battery furnace sintering particle distribution symmetry evaluation logic. The evaluation unit evaluates the lithium battery furnace sintering particle distribution symmetry through the evaluation logic combined with the complete contour containing concave edges confirmed in each triangular area.

[0032] Furthermore, the evaluation logic of the symmetry of the sintered particle distribution of the lithium battery kiln in the evaluation unit is:

[0033]

[0034] Where: k is the symmetry of the particle distribution of lithium battery furnace sintering; n is the total number of contour types containing concave edges determined based on the number of concave edges on the contour containing concave edges; m i is the number of contours containing i groups of concave edges; mi+1 is the number of contours containing i+1 sets of concave edges; d(s u ,s u+1 ) is the distance between the u-th contour and the adjacent u+1-th contour in the contour set containing i groups of concave edges; d(s v ,s v+1 ) is the distance between the vth contour and the adjacent v+1th contour in the contour set containing i+1 groups of concave edges; λ is the normalization factor;

[0035] in, Table pair The average, Table pair The smaller the symmetry k of the sintering particle distribution of the lithium battery furnace is, the more uniform the sintering particle distribution of the lithium battery furnace is. On the contrary, the more uneven the sintering particle distribution of the lithium battery furnace is, the normalization factor λ≥1;

[0036] The evaluation unit evaluates the uniformity k of the sintered particles in the lithium battery kiln and sends it to the analysis module in real time. The analysis module sets the uniformity judgment value. Based on the comparison between the uniformity judgment value and k, it is determined whether the sintered particles in the lithium battery kiln are uniform, that is:

[0037] If k is not greater than the uniformity judgment value, it is determined that the sintered particles of the lithium battery kiln are uniformly distributed. If k is greater than the uniformity judgment value, it is determined that the sintered particles of the lithium battery kiln are unevenly distributed.

[0038] Furthermore, when obtaining the symmetry k of the sintered particle distribution of the lithium battery kiln, a group of triangular areas is used as an evaluation target. When each group of triangular areas is used as an evaluation target, the obtained symmetry of the sintered particle distribution of the lithium battery kiln is recorded as: k1, k2, k3, .... When the analysis module analyzes and determines whether the sintered particle distribution of the lithium battery kiln is symmetrical, the sum and average of k1, k2, k3, ... are compared with the symmetry determination value to complete the analysis of whether the global distribution of the sintered particles in the lithium battery kiln is symmetrical.

[0039] When the sniffing module sniffs the area where the sintered particles of the lithium battery kiln are unevenly distributed, k1, k2, k3, ... are compared with the uniformity judgment value respectively to obtain the uniformity of the sintered particles of the lithium battery kiln that is greater than the uniformity judgment value, and further obtain the triangular area corresponding to the uniformity of the sintered particles of the lithium battery kiln, that is, the area where the sintered particles of the lithium battery kiln are unevenly distributed detected by the sniffing module;

[0040] During the output module operation phase, the triangular area corresponding to the obtained distribution uniformity of the sintered particles in the lithium battery kiln is further placed at the corresponding position in the sintered particle image data, and the sintered particle image data with the triangular area is then output;

[0041] The output destination of the sintered particle image data with the triangular area is any mobile computer device with an image display function.

[0042] Furthermore, the camera module is interactively connected to a detection unit via a wireless network, the camera module is interactively connected to an extraction module via a wireless network, the extraction module is interactively connected to a setting unit, i.e., a capture unit, via a wireless network, the extraction module is interactively connected to an identification module, i.e., an analysis module, the analysis module is interactively connected to a division unit via a wireless network, the division unit is interactively connected to an evaluation unit via a wireless network, the analysis module is interactively connected to a sniffing module via a wireless network, and the sniffing module and the camera module are interactively connected to an output module via a wireless network.

[0043] Compared with the known public technology, the technical solution provided by the present invention has the following advantages:

[0044] Beneficial effects:

[0045] The present invention provides a lithium-ion furnace sintered particle distribution symmetry identification system. During operation, the system effectively determines the symmetry of the lithium-ion furnace sintered particles by collecting, processing and analyzing the image data of the lithium-ion furnace sintered particles. When the uniformity analysis result of the lithium-ion furnace sintered particles is that the lithium-ion furnace sintered particles are uneven, the uneven area is marked in the collected lithium-ion furnace sintered particle image data, thereby assisting the lithium-ion furnace sintered particle production management personnel to more efficiently locate the lithium-ion furnace sintered particle defects, thereby better carrying out the safety management of the lithium-ion furnace sintered particle production, ensuring the production quality of the lithium-ion furnace sintered particles, and ensuring that the sintered particles have a better tap density when used in the later manufacturing of products, thereby providing protection for the performance and quality of the sintered particles supporting the products. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort.

[0047] Figure 1 This is a schematic diagram of the structure of a lithium battery kiln sintering particle distribution uniformity identification system;

[0048] Figure 2 This is an example diagram of the lithium battery kiln sintering particle image data processing process in the present invention;

[0049] Figure 3This is an example diagram of the inner concave edge on the contour of the sintered particles in the lithium battery kiln of the present invention;

[0050] Figure 4 This is an example diagram of sintered particle image data with a triangular area output by the output module of the present invention. DETAILED DESCRIPTION

[0051] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0052] The present invention will be further described below with reference to the embodiments.

[0053] Example 1:

[0054] A lithium battery furnace sintering particle distribution uniformity recognition system of this embodiment, such as Figure 1 As shown, including:

[0055] A camera module is used to collect image data of sintered particles contained in a sintered particle container of a lithium battery kiln;

[0056] When the camera module collects image data of the sintered particles, the collection end of the camera module is opposite to the center of the upper opening of the sintered particle holding dish, and the boundary of the camera module collecting the image data of the sintered particles does not exceed the inner bottom surface of the sintered particle holding dish;

[0057] The camera module is equipped with submodules, including:

[0058] A detection unit is used to detect the clarity of the sintered particle image data collected by the camera module, and decide whether to control the camera module to operate again based on the clarity of the sintered particle image;

[0059] The detection unit is triggered to run after the camera module completes the acquisition of sintered particle image data. During the operation phase, the detection unit obtains the sintered particle image data, segments the sintered particle image data to obtain sub-sintered particle image data, and decides whether to control the camera module to run again based on the clarity of the sub-sintered particle image data.

[0060] An extraction module is used to receive the sintered particle image data collected by the camera module and extract the sintered particle distribution area image from the sintered particle image data;

[0061] The extraction module is equipped with submodules, including:

[0062] A setting unit, configured to set an image background hue threshold of sintered particle image data;

[0063] A capture unit, configured to capture pixels that meet an image background hue threshold in the sintered particle image data;

[0064] In the extraction module operation phase, the pixels captured by the capture unit are searched in the sintered particle image data, and pixels other than the pixels captured by the capture unit are taken as extraction targets. The set of extraction targets is the sintered particle distribution area image;

[0065] The recognition module is used to obtain the sintered particle distribution area image extracted by the extraction module and recognize the sintered particle contour image in the sintered particle distribution area image;

[0066] An analysis module is used to receive the sintered particle contour image identified by the recognition module, pick out contours with and without concave edges from the sintered particle contour image, and analyze whether the distribution of sintered particles in the lithium battery kiln is uniform based on the two types of contours;

[0067] The concave edge is an inwardly arched contour line on the sintered particle contour. The contour containing the concave edge has at least one group of concave edges. The contour containing the concave edge includes a contour composed entirely of interconnected concave edges.

[0068] The analysis module is internally configured with submodules, including:

[0069] A division unit is used to obtain the center points of each group of contours without concave edges, select the center points of no less than one-third of the number of contours without concave edges, and obtain a plurality of groups of triangular areas by connecting the adjacent center points of each group;

[0070] Among them, when selecting center points that are not less than one-third of the number of contours without concave edges, the more the number of contours without concave edges, the more center points are selected, and vice versa, the fewer the number of center points are selected;

[0071] The sub-modules are provided under the division unit, including:

[0072] An evaluation unit is configured to receive the triangular areas obtained by the division unit, confirm the complete contours containing inward concave edges in each triangular area, and evaluate the symmetry of the distribution of sintered particles in the lithium battery kiln based on the complete contours containing inward concave edges confirmed in each triangular area;

[0073] Among them, the incomplete contour containing concave edges in each triangular area is the contour where the contour line of the contour containing concave edges intersects with the boundary of the triangular area. The evaluation unit is set with a lithium battery furnace sintering particle distribution symmetry evaluation logic. The evaluation unit evaluates the lithium battery furnace sintering particle distribution symmetry through the evaluation logic combined with the complete contour containing concave edges confirmed in each triangular area;

[0074] The sniffing module is used to read the analysis result of the uniform distribution of sintered particles in the lithium battery kiln in the analysis module. If the analysis result is uneven, it sniffs the area where the sintered particles in the lithium battery kiln are unevenly distributed;

[0075] An output module, used for outputting the asymmetric area sniffed by the sniffing module;

[0076] The camera module is interactively connected to a detection unit via a wireless network, the camera module is interactively connected to an extraction module via a wireless network, the extraction module is interactively connected to a setting unit, i.e., a capture unit, via a wireless network, the extraction module is interactively connected to an identification module, i.e., an analysis module, via a wireless network, the analysis module is interactively connected to a division unit via a wireless network, the division unit is interactively connected to an evaluation unit via a wireless network, the analysis module is interactively connected to a sniffing module via a wireless network, and the sniffing module and the camera module are interactively connected to an output module via a wireless network.

[0077] In this embodiment, the camera module runs to collect image data of sintered particles contained in a sintered particle holding dish of a lithium battery kiln, the detection unit synchronously detects the clarity of the sintered particle image data collected by the camera module, and decides whether to control the camera module to run again based on the clarity of the sintered particle image. The extraction module runs post-process to receive the sintered particle image data collected by the camera module, extracts the sintered particle distribution area image from the sintered particle image data, the setting unit synchronously sets the image background hue threshold of the sintered particle image data, the capture unit captures pixels that meet the image background hue threshold in the sintered particle image data in real time, and then the recognition module obtains the sintered particle distribution area image extracted in the extraction module, identifies the sintered particle contour image in the sintered particle distribution area image, the analysis module further receives the sintered particle contour image identified in the recognition module, and Contours with and without concave edges are picked up from the contour image, and whether the distribution of sintered particles in the lithium battery furnace is uniform is analyzed based on the two types of contours. The division unit obtains the center point of each group of contours without concave edges, and selects center points of no less than one-third of the number of contours without concave edges. Based on the center points selected in each group, adjacent and mutually connected ones are obtained to obtain several groups of triangular areas. The evaluation unit is post-operated to receive the triangular areas obtained by the division unit, and the complete contours with concave edges in each triangular area are confirmed. The uniformity of the distribution of sintered particles in the lithium battery furnace is evaluated based on the complete contours with concave edges confirmed in each triangular area. Finally, the sniffing module reads the uniformity analysis result of the sintered particles in the analysis module. When the analysis result is uneven, the uneven distribution area of ​​the sintered particles in the lithium battery furnace is sniffed, and the output module outputs the uneven area sniffed in the sniffing module.

[0078] Through the operation of the system in the above embodiment, refined uniformity analysis and identification of sintered particles in lithium battery kilns are achieved;

[0079] See also Figure 2 As shown in the figure, the processing process of the lithium battery furnace sintering particle image data in the above system is demonstrated. In the figure, picture (a) represents the lithium battery furnace sintering particle image data, picture (b) represents the sintering particle distribution area image, picture (c) represents the overall outline of the sintering particle distribution area image, and picture (d) represents the triangular area determined in the sintering particle outline image after the sintering particle distribution area image is converted into a sintering particle outline image.

[0080] Example 2:

[0081] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The system for identifying the uniformity of sintered particle distribution in a lithium battery kiln in Example 1 is further described in detail:

[0082] When the detection unit segments the sintered particle image data, the detection unit follows the following rules: the sintered particle image data is segmented evenly so that the sizes and shapes of the sub-sintered particle image data obtained in each segmentation group are equal;

[0083] The initial default segmentation operation of the sintered particle image data is set as follows: segmentation into 3 × 3 groups of sub-sintered particle image data;

[0084] The clarity of the sintered particle image data in the detection unit is expressed as:

[0085]

[0086] Where: C is the image clarity value; M and N are the width and height of the image; G x , G y is the gradient of the x position in the horizontal direction of the image and the gradient of the y position in the vertical direction of the image; ε is the judgment value; C MAX 、C MIN is the maximum image clarity performance value and the minimum image clarity performance value; is the average image clarity performance value;

[0087] in, Represents the gradient value at the (x, y) coordinate in the image. The larger the image clarity performance value C is, the clearer the image is. Conversely, the image is more blurred. The calculation target of formula (1) is each group of sub-sintered particle image data obtained by segmentation. The image clarity performance values ​​corresponding to each group of sub-sintered particle image data output based on formula (1) are recorded as: C1, C2, C3, ..., and the average image clarity performance value is That is, the result of summing and averaging C1, C2, C3, ..., C MAX 、C MINThe maximum and minimum values ​​of sources C1, C2, C3, ..., when formula (2) is not established, the camera module refreshes and runs again to execute the acquisition operation of sintered particle image data, and discards the sintered particle image data acquired in the previous operation until formula (2) is established.

[0088] In this embodiment, the above configuration further provides operation logic support for the operation of the system in Embodiment 1, and detects the clarity of the sintered particle image data using the specified clarity detection logic of the sintered particle image data.

[0089] like Figure 1 As shown in the figure, during the operation phase of the recognition module, the edge pixels in the sintered particle distribution area image are captured first, and each edge pixel is used as the recognition target. The maximum hue, minimum hue, maximum color feature vector, minimum color feature vector, maximum gradient, and minimum gradient of the recognition target are obtained. Three sets of thresholds are set based on the hue, gradient, and color feature vector, which are recorded as the sintered particle outline pixel judgment thresholds.

[0090] The three groups of sintered particle outline pixel determination thresholds are compared with each pixel in the sintered particle distribution area image to obtain pixels that meet the three groups of sintered particle outline pixel determination thresholds at the same time, and the pixels that are not obtained in the sintered particle distribution area image are discarded. The points and lines are further captured and deleted in the image presented by the remaining pixels. The image presented by the remaining pixels after the point and line capture and deletion processing is the sintered particle outline image recognized by the recognition module.

[0091] Through the above settings, the processing logic of the sintered particle contour image is further defined.

[0092] Example 3:

[0093] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The system for identifying the uniformity of sintered particle distribution in a lithium battery kiln in Example 1 is further described in detail:

[0094] The evaluation logic for the symmetry of the sintered particle distribution in the lithium battery kiln in the evaluation unit is:

[0095]

[0096] Where: k is the symmetry of the particle distribution of lithium battery furnace sintering; n is the total number of contour types containing concave edges determined based on the number of concave edges on the contour containing concave edges; m i is the number of contours containing i groups of concave edges; m i+1 is the number of contours containing i+1 sets of concave edges; d(s u ,s u+1) is the distance between the u-th contour and the adjacent u+1-th contour in the contour set containing i groups of concave edges; d(s v ,s v+1 ) is the distance between the vth contour and the adjacent v+1th contour in the contour set containing i+1 groups of concave edges; λ is the normalization factor;

[0097] in, Table pair The average, Table pair The smaller the symmetry k of the sintering particle distribution of the lithium battery furnace is, the more uniform the sintering particle distribution of the lithium battery furnace is. On the contrary, the more uneven the sintering particle distribution of the lithium battery furnace is, the normalization factor λ≥1;

[0098] The evaluation unit evaluates the uniformity k of the sintered particles in the lithium battery kiln and sends it to the analysis module in real time. The analysis module sets the uniformity judgment value. Based on the comparison between the uniformity judgment value and k, it is determined whether the sintered particles in the lithium battery kiln are uniform, that is:

[0099] If k is not greater than the uniformity judgment value, it is determined that the sintered particles of the lithium battery kiln are uniformly distributed. If k is greater than the uniformity judgment value, it is determined that the sintered particles of the lithium battery kiln are unevenly distributed.

[0100] In this embodiment, the evaluation logic of the symmetry of the distribution of sintered particles in the lithium battery kiln in the evaluation unit is further limited, so that the system in Example 1 can stably evaluate the symmetry of the distribution of sintered particles in the lithium battery kiln, providing necessary operating data support for the operation of the analysis module.

[0101] like Figure 1 As shown, when obtaining the symmetry k of the sintered particles in the lithium battery kiln, a group of triangular areas is used as the evaluation target. When each group of triangular areas is used as the evaluation target, the obtained symmetry of the sintered particles in the lithium battery kiln is recorded as: k1, k2, k3, .... When the analysis module analyzes and determines whether the sintered particles in the lithium battery kiln are symmetrical, the sum and average of k1, k2, k3, ... are compared with the symmetry judgment value to complete the analysis of whether the global distribution of the sintered particles in the lithium battery kiln is symmetrical.

[0102] When the sniffing module detects the uneven distribution area of ​​sintered particles in the lithium battery kiln, it compares k1, k2, k3, ... with the uniformity judgment value respectively, obtains the uniformity of the sintered particles in the lithium battery kiln that is greater than the uniformity judgment value, and further obtains the triangular area corresponding to the uniformity of the sintered particles in the lithium battery kiln, that is, the area of ​​uneven distribution of sintered particles in the lithium battery kiln detected by the sniffing module;

[0103] During the output module operation phase, the triangular area corresponding to the obtained distribution uniformity of the sintered particles in the lithium battery kiln is further placed at the corresponding position in the sintered particle image data, and the sintered particle image data with the triangular area is then output;

[0104] The output destination of the sintered particle image data with the triangular area is any mobile computer device with an image display function.

[0105] Through the above settings, further operation logic limitations are made for the system in Example 1 when sniffing and outputting the uneven area of ​​sintered particles, ensuring that the system in Example 1 can stably sniff and output the uneven area of ​​sintered particles.

[0106] In summary, in the above embodiment, during operation, the system effectively determines the uniformity of the lithium-electric furnace sintered particles by collecting, processing and analyzing the image data of the lithium-electric furnace sintered particles. When the uniformity analysis result of the lithium-electric furnace sintered particles is that the lithium-electric furnace sintered particles are uneven, the uneven area is marked in the collected image data of the lithium-electric furnace sintered particles, thereby assisting the lithium-electric furnace sintered particle production management personnel to more efficiently locate the defects of the lithium-electric furnace sintered particles, thereby better carrying out the safety management of the lithium-electric furnace sintered particles production, ensuring the production quality of the lithium-electric furnace sintered particles, and ensuring that the sintered particles have a better tap density when used in later manufacturing products, thereby providing protection for the performance and quality of the sintered particles supporting the products.

[0107] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A lithium battery kiln sintering particle distribution uniformity identification system, characterized in that: include: A camera module is used to collect image data of sintered particles contained in a sintered particle container of a lithium battery kiln; An extraction module is used to receive the sintered particle image data collected by the camera module and extract the sintered particle distribution area image from the sintered particle image data; The recognition module is used to obtain the sintered particle distribution area image extracted by the extraction module and recognize the sintered particle contour image in the sintered particle distribution area image; An analysis module is used to receive the sintered particle contour image identified by the recognition module, pick out contours with and without concave edges from the sintered particle contour image, and analyze whether the distribution of sintered particles in the lithium battery kiln is uniform based on the two types of contours; The sniffing module is used to read the analysis result of the uniform distribution of sintered particles in the lithium battery kiln in the analysis module. If the analysis result is uneven, it sniffs the area where the sintered particles in the lithium battery kiln are unevenly distributed; An output module, used for outputting the asymmetric area sniffed by the sniffing module; The initial default segmentation operation of the sintered particle image data is set to: segment into 3×3 groups of sub-sintered particle image data; The camera module is provided with a detection unit, and the clarity of the sintered particle image data in the detection unit is expressed as: ； Where: is the image clarity performance value; 、 is the width and height of the image; 、 is the gradient of the x position in the horizontal direction of the image and the gradient of the y position in the vertical direction of the image; is the judgment value; 、 is the maximum image clarity performance value and the minimum image clarity performance value; is the average image clarity performance value; in, Indicates the gradient value at the (x, y) coordinate in the image, and the image clarity performance value The larger the value, the clearer the image. Conversely, the blurrier the image. The calculation target of formula (1) is each group of segmented sub-sintered particle image data. The image clarity performance value corresponding to each group of sub-sintered particle image data output based on formula (1) is recorded as: , average image clarity performance value Right now The result of summing and averaging is 、 source When the maximum and minimum values ​​are obtained and formula (2) is not satisfied, the camera module refreshes and runs again to collect the sintered particle image data, and discards the sintered particle image data collected in the previous run until formula (2) is satisfied. The analysis module is provided with an evaluation unit, and the evaluation logic of the symmetry of the sintered particles in the lithium battery kiln in the evaluation unit is as follows: ； Where: To ensure the uniform distribution of sintered particles in lithium battery kiln; The total number of contour types containing concave edges determined based on the number of concave edges on the contour containing concave edges; is the number of contours containing i sets of concave edges; is the number of contours containing i+1 sets of concave edges; is the distance between the u-th contour and the adjacent u+1-th contour in the contour set containing i groups of concave edges; is the distance between the vth contour and the adjacent v+1th contour in the contour set containing i+1 groups of concave edges; is the normalization factor; in, Express The average, Express The pursuit of uniformity and symmetry of particle distribution in lithium battery kiln sintering The smaller the value, the more uniform the distribution of sintered particles in the lithium battery kiln. On the contrary, the smaller the value, the more uneven the distribution of sintered particles in the lithium battery kiln. ≥1.

2. The lithium battery kiln sintering particle distribution uniformity identification system according to claim 1, characterized in that: When the camera module collects sintered particle image data, the collection end of the camera module is opposite to the center of the upper opening of the sintered particle holding dish, and the boundary of the camera module collecting the sintered particle image data does not exceed the inner bottom surface of the sintered particle holding dish; The camera module is internally provided with submodules, including: A detection unit is used to detect the clarity of the sintered particle image data collected by the camera module, and decide whether to control the camera module to operate again based on the clarity of the sintered particle image; Among them, the detection unit is triggered to run after the camera module completes the acquisition of sintered particle image data. During the operation phase, the detection unit obtains the sintered particle image data, segments the sintered particle image data to obtain sub-sintered particle image data, and decides whether to control the camera module to run again based on the clarity of the sub-sintered particle image data.

3. The lithium battery kiln sintering particle distribution uniformity identification system according to claim 1, characterized in that: The extraction module is provided with submodules at the lower level, including: A setting unit, configured to set an image background hue threshold of sintered particle image data; A capture unit, configured to capture pixels that meet an image background hue threshold in the sintered particle image data; In the operation phase of the extraction module, the pixels captured by the capture unit are searched in the sintered particle image data, and pixels other than those captured by the capture unit are taken as extraction targets. The set of extraction targets is the sintered particle distribution area image.

4. The lithium battery kiln sintering particle distribution uniformity identification system according to claim 1, characterized in that: During the operation phase of the recognition module, the edge pixels in the sintered particle distribution area image are preferentially captured, and each edge pixel is used as a recognition target. The maximum hue, minimum hue, maximum color feature vector, minimum color feature vector, maximum gradient, and minimum gradient of the recognition target are obtained. Three sets of thresholds are set based on the hue, gradient, and color feature vector, and recorded as the sintered particle outline pixel determination thresholds; The three groups of sintered particle outline pixel determination thresholds are compared with each pixel in the sintered particle distribution area image to obtain pixels that meet the three groups of sintered particle outline pixel determination thresholds at the same time, and the pixels that are not obtained in the sintered particle distribution area image are discarded. The points and lines are further captured and deleted in the image presented by the remaining pixels. The image presented by the remaining pixels after the point and line capture and deletion processing is the sintered particle outline image recognized by the recognition module.

5. The lithium battery kiln sintering particle distribution uniformity identification system according to claim 1, characterized in that: The concave edge is an inwardly arched contour line on the sintered particle contour. The contour containing the concave edge has at least one group of concave edges. The contour containing the concave edge includes a contour composed entirely of interconnected concave edges. The analysis module is internally provided with submodules, including: A division unit is used to obtain the center points of each group of contours without concave edges, select the center points of no less than one-third of the number of contours without concave edges, and obtain a plurality of groups of triangular areas by connecting the adjacent center points of each group; Among them, when selecting center points that are not less than one-third of the number of contours without concave edges, it is followed that the more contours without concave edges there are, the more center points there are to be selected, and vice versa.

6. The lithium battery kiln sintering particle distribution uniformity identification system according to claim 5, characterized in that: The sub-modules are provided at the lower level of the division unit, including: An evaluation unit is configured to receive the triangular areas obtained by the division unit, confirm the complete contours containing inward concave edges in each triangular area, and evaluate the symmetry of the distribution of sintered particles in the lithium battery kiln based on the complete contours containing inward concave edges confirmed in each triangular area; Among them, the incomplete contour containing concave edges in each triangular area is the contour where the contour line of the contour containing concave edges intersects with the boundary of the triangular area. The evaluation unit is set with a lithium battery furnace sintering particle distribution symmetry evaluation logic. The evaluation unit evaluates the lithium battery furnace sintering particle distribution symmetry through the evaluation logic combined with the complete contour containing concave edges confirmed in each triangular area.

7. A lithium battery kiln sintering particle distribution uniformity identification system according to claim 1 or 6, characterized in that: The lithium battery kiln sintering particle distribution uniformity When a group of triangular areas is used as the evaluation target, when each group of triangular areas is used as the evaluation target, the obtained distribution uniformity of the lithium battery furnace sintered particles is recorded as: k1, k2, k3, .... When the analysis module analyzes and determines whether the distribution of the lithium battery furnace sintered particles is uniform, the sum of k1, k2, k3, ... and the average result are compared with the uniformity judgment value to complete the analysis of whether the global distribution of the lithium battery furnace sintered particles is uniform; When the sniffing module sniffs the area where the sintered particles of the lithium battery kiln are unevenly distributed, k1, k2, k3, ... are compared with the uniformity judgment value respectively to obtain the uniformity of the sintered particles of the lithium battery kiln that is greater than the uniformity judgment value, and further obtain the triangular area corresponding to the uniformity of the sintered particles of the lithium battery kiln, that is, the area where the sintered particles of the lithium battery kiln are unevenly distributed detected by the sniffing module; During the output module operation phase, the triangular area corresponding to the obtained distribution uniformity of the sintered particles in the lithium battery kiln is further placed at the corresponding position in the sintered particle image data, and the sintered particle image data with the triangular area is then output; The output destination of the sintered particle image data with the triangular area is any mobile computer device with an image display function.

8. The lithium battery kiln sintering particle distribution uniformity identification system according to claim 1, characterized in that: The camera module is interactively connected to a detection unit via a wireless network, the camera module is interactively connected to an extraction module via a wireless network, the extraction module is interactively connected to a setting unit, i.e., a capture unit, via a wireless network, the extraction module is interactively connected to an identification module, i.e., an analysis module, the analysis module is interactively connected to a division unit via a wireless network, the division unit is interactively connected to an evaluation unit via a wireless network, the analysis module is interactively connected to a sniffing module via a wireless network, and the sniffing module and the camera module are interactively connected to an output module via a wireless network.

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