Mold control method and system for enhancing graphite covered edge

Abstract

The invention provides a graphite covered edge enhanced mold control method and system.The method comprises the steps that 1, step parameters of a target graphite sheet subjected to covered edge treatment are obtained; 2, a control instruction setting database of the edge covering die is obtained; 3, setting a database and step parameters according to the control instruction, and determining a control instruction suitable for the edge covering mold; and 4, controlling the edge covering mold to perform step filling on the target graphite flake based on the control instruction. According to the mold control method and system for enhancing the graphite edge covering, the control instruction setting database of the edge covering mold is introduced, the control instruction suitable for the edge covering mold is determined according to the obtained step parameters of the target graphite sheet for edge covering treatment, and the edge covering mold is automatically controlled to fill the steps of the target graphite sheet based on the control instruction; the problem of edge covering steps is avoided, bubbles at the edge covering position are reduced, the edge covering strength is improved, and a product is not prone to layering.

Description

Technical Field

[0001] The invention relates to the technical field of graphite hemming, and in particular to a graphite hemming enhanced mold control method and system. Background Art

[0002] Graphite sheet edge wrapping is a key process step. By coating the edge of the graphite sheet with a layer of special protective material, it can effectively prevent the sharp edge of the graphite sheet from scratching other components and prevent the graphite powder from falling off, thereby ensuring the cleanliness and stable operation of the electronic equipment. This treatment method not only enhances the physical strength of the graphite sheet, making it more durable during use, but also optimizes its thermal conductivity, enabling it to more efficiently take advantage of its high thermal conductivity and provide a more reliable heat dissipation solution for electronic equipment. In addition, edge wrapping can also improve the processing accuracy and yield of the graphite sheet, allowing it to fit the heat source more accurately, meet the size and shape requirements in different application scenarios, and further improve the overall performance and reliability of electronic equipment.

[0003] With the market demand, the requirements for graphite appearance and structural reliability are getting higher and higher. The existing graphite edging has steps between the graphite and the edging, and contains air and bubbles, which will lead to low graphite edging strength and easy product delamination.

[0004] In view of this, there is an urgent need for a graphite edge-enhanced mold control method and system to at least solve the above-mentioned shortcomings. Summary of the invention

[0005] One of the purposes of the present invention is to provide a mold control method and system for graphite hemming enhancement, introduce a control instruction setting database for the hemming mold, determine appropriate control instructions for the hemming mold based on the acquired step parameters of the target graphite sheet to be hemmed, and automatically control the hemming mold based on the control instructions to fill the steps of the target graphite sheet, thereby avoiding the hemming step problem, reducing bubbles at the hemming location, increasing the hemming strength, and making the product less likely to delaminate.

[0006] An embodiment of the present invention provides a graphite edge-enhanced mold control method, comprising:

[0007] Step 1: Obtaining the step parameters of the target graphite sheet to be processed by hemming;

[0008] Step 2: Obtain the control instruction setting database of the hemming mold;

[0009] Step 3: Set the database and step parameters according to the control instructions, and determine the appropriate control instructions for the hemming mold;

[0010] Step 4: Based on the control instruction, the hemming die is controlled to fill the steps of the target graphite sheet.

[0011] Preferably, step 1: obtaining step parameters of a target graphite sheet to be processed by hemming, comprises:

[0012] Based on the three-dimensional coordinate measuring machine, measure the three-dimensional information of the steps of the target graphite sheet;

[0013] Analyze the three-dimensional information of the steps and obtain the step parameters.

[0014] Preferably, step 3: setting a database and step parameters according to the control instructions to determine the appropriate control instructions for the hemming mold includes:

[0015] According to the current position and step parameters of the hemming die, a three-dimensional simulation task is set; the three-dimensional simulation task includes: a task item sequence consisting of task items to be executed;

[0016] According to the action of the hemming mold when the control instruction setting data in the control instruction setting database is set correspondingly, the simulation action of the simulated hemming mold in the three-dimensional simulation model is obtained;

[0017] Determine the target simulation action sequence according to the three-dimensional simulation task and simulation action;

[0018] Executing a target simulation action sequence in the three-dimensional simulation model, and determining whether a step exists in the target graphite sheet model in the three-dimensional simulation model after the execution is completed;

[0019] If there is no step, a data set is set according to the control instruction corresponding to the target simulation action sequence to determine the control instruction;

[0020] If there are steps, analyze the causes of simulation deviation.

[0021] Preferably, according to the current position and step parameters of the hemming die, a three-dimensional simulation task is set, including:

[0022] Obtaining an adjustable angle range of the hemming mold relative to the plane where the target graphite sheet is located and a movable range of the filling head of the hemming mold relative to the target graphite sheet;

[0023] According to the step parameters, determine the step point closest to the filling head of the hemming mold;

[0024] Determine the moving path based on the movable range and step locations;

[0025] Determine the filling strategy based on step parameters, step locations, adjustable angle range, and movable range;

[0026] Determine the 3D simulation task based on the movement path and filling strategy.

[0027] Preferably, if there is a step, a simulation deviation cause analysis is performed, including:

[0028] According to the task labels of the task items to be executed in the task item sequence, the task item sequence is divided into multiple task phase sequences;

[0029] Compare the stage target corresponding to the task stage sequence with the actual stage simulation result, and obtain the task stage sequence whose first stage deviation is greater than or equal to a preset stage deviation threshold;

[0030] If the acquisition fails, the unreasonable setting of the 3D simulation task is regarded as the cause of the simulation deviation, and the 3D simulation task is reset according to the current position and step parameters of the hemming die;

[0031] If the acquisition is successful, the corresponding task phase sequence is used as the target task phase sequence;

[0032] The causes of simulation deviations are analyzed based on the relevant simulation setting parameters of the target task phase sequence.

[0033] Preferably, the simulation deviation cause analysis is performed based on the relevant simulation setting parameters of the target task phase sequence, including:

[0034] Obtain a first simulation parameter type set of a target task phase;

[0035] Acquire a second simulation parameter type set of a task phase sequence preceding a target task phase sequence;

[0036] Eliminate the second simulation parameter type from the first simulation parameter type set to obtain a third simulation parameter type set;

[0037] Obtaining relevant simulation setting parameters of a third simulation parameter type;

[0038] Determine the cause of simulation deviation based on the preset simulation knowledge base and relevant simulation setting parameters.

[0039] A method for controlling a mold for graphite edge reinforcement provided by an embodiment of the present invention further includes:

[0040] Based on a preset edge feature extraction template and according to the step parameters, a first edge feature set of the target graphite sheet is obtained;

[0041] Obtain quality inspection records;

[0042] According to the quality inspection records, the second edge feature set of the historical graphite sheets that failed the quality inspection and the historical factors that led to the failure of the quality inspection are obtained;

[0043] Perform feature matching on the first edge-wrapping feature set and the second edge-wrapping feature set to obtain feature matching similarity;

[0044] If the feature matching similarity is greater than or equal to the preset feature matching similarity threshold, the corresponding historical factor is used as the target historical factor;

[0045] Determine whether the target historical factors exist at the target graphite sheet production site. If so, perform on-site processing according to the corresponding processing methods of the target historical factors in the quality inspection records;

[0046] Among them, judging whether the target graphite sheet production site has target historical factors includes:

[0047] Obtaining factor capture conditions of target historical factors;

[0048] Acquire device information of a photographing device at a target graphite sheet production site;

[0049] According to the device information, historical shooting features of a preset time before the target graphite sheet is subjected to hemming processing are obtained, wherein the historical shooting features include: a shooting position and a shooting angle of the shooting device at each historical shooting time point;

[0050] Determine whether there is a shooting position and shooting angle of the shooting device at a historical shooting time point that meets the factor capture condition;

[0051] If so, the historical shooting information is obtained according to the historical shooting time point, and whether the target historical factor exists is determined according to the historical shooting information;

[0052] If it does not exist, configure the capture condition according to the factor capture condition and the device information;

[0053] If the capture condition configuration is successful, obtain the real-time shooting information and determine whether there are target historical factors based on the real-time shooting information;

[0054] If the capture condition configuration fails, dispatch on-site staff to check whether there are target historical factors.

[0055] Preferably, configuring the capture condition according to the factor capture condition and the device information includes:

[0056] Obtain the corresponding target historical factor at the historical shooting time point where the shooting device does not have a shooting position and a shooting angle that meet the factor capture conditions, and use it as the historical factor to be observed;

[0057] Obtain a production line map and mark the location points of the historical factors to be observed on the production line map;

[0058] Obtain distance information between a location point and a driving path close to the location point;

[0059] Obtaining the shooting range of the mobile shooting device;

[0060] Determine, based on the shooting range and distance information, a driving path segment when the historical factor to be observed can fall within the shooting range of the mobile shooting device;

[0061] Traverse each driving path segment in turn, and take the driving path segment being traversed as the target driving path segment;

[0062] Obtaining the capture conditions of the factors to be configured for the historical factors to be observed corresponding to the target driving path segment;

[0063] According to the shooting angle range and shooting position range of the mobile shooting device, the to-be-configured factor capture condition of each to-be-observed historical factor corresponding to the target driving path segment is configured;

[0064] If the configuration of the capture condition of the factor to be configured exists for the historical factor to be observed is successful, the association between the successfully configured configuration parameters and the target driving path segment is recorded, and the target driving path segment is used as the path segment to be constructed;

[0065] The historical factors to be observed that successfully configure the capture conditions of the factors to be configured are taken as the target factors, the driving path segments to be traversed corresponding to the target factors are eliminated, and the traversal is continued;

[0066] If the capture conditions of the factors to be configured for each historical factor to be observed fail to be configured, continue traversing;

[0067] When all the driving path segments are traversed, the inclusion relationship between all the path segments to be constructed and the historical factors to be observed is determined;

[0068] If there is an inclusion relationship, retain the path segment with the largest factor range to be constructed;

[0069] The path segment to be constructed with the largest factor range and the path segment to be constructed without the inclusion relationship of the historical factors to be observed are taken as the target path segment;

[0070] Plan the shortest route through all target path segments in the production line map;

[0071] The mobile camera is controlled to move based on the shortest route. When moving, the mobile camera is controlled to observe the historical factors to be observed according to the configuration parameters associated with the shortest route.

[0072] An embodiment of the present invention provides a graphite edge-enhanced mold control system, comprising:

[0073] A step parameter acquisition subsystem, used to acquire the step parameters of a target graphite sheet to be processed by hemming;

[0074] A database acquisition subsystem is used to acquire a control instruction setting database for the hemming mold;

[0075] The control instruction determination subsystem is used to set the database and step parameters according to the control instructions and determine the appropriate control instructions for the hemming mold;

[0076] The step filling control subsystem is used to control the hemming die to perform step filling of the target graphite sheet based on control instructions.

[0077] The beneficial effects of the present invention are:

[0078] The present invention introduces a control instruction setting database for the hemming mold, determines appropriate control instructions for the hemming mold according to the acquired step parameters of the target graphite sheet to be hemmed, and automatically controls the hemming mold to fill the steps of the target graphite sheet based on the control instructions, thereby avoiding the hemming step problem, reducing bubbles at the hemming location, increasing the hemming strength, and preventing the product from being easily delaminated.

[0079] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in the present application documents.

[0080] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0082] Figure 1 A schematic diagram of a mold control method for graphite edge reinforcement in an embodiment of the present invention;

[0083] Figure 2 It is a schematic diagram of a mold control system with graphite hemming enhancement in an embodiment of the present invention. DETAILED DESCRIPTION

[0084] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0085] The embodiment of the present invention provides a control method for a mold enhanced by graphite hemming, such as Figure 1 As shown, including:

[0086] Step 1: Obtaining step parameters of the target graphite sheet to be processed; wherein the step is: the height difference between the edge of the target graphite sheet and the edge of the graphite sheet, and the step parameters are: the height, width, angle and other parameters of the step;

[0087] The step 1: obtaining the step parameters of the target graphite sheet to be processed by hemming, comprises:

[0088] Based on a three-dimensional coordinate measuring machine, the three-dimensional information of the steps of the target graphite sheet is measured; wherein the three-dimensional information of the steps is: three-dimensional scanning data of the steps;

[0089] Analyze the three-dimensional information of the steps to obtain step parameters; wherein the step parameters are key values ​​extracted from the three-dimensional information of the steps to describe the characteristics of the steps, such as the angle between the side of the step and the horizontal plane is 90 degrees;

[0090] Step 2: Obtain a control instruction setting database for the hemming mold; wherein the control instruction setting database includes control instruction setting data predefined in the numerical control device of a plurality of hemming molds, and each predefined control instruction setting data corresponds to a control instruction that triggers a hemming mold;

[0091] Step 3: According to the control instruction setting database and step parameters, determine the appropriate control instruction for the hemming mold; wherein the appropriate control instruction is: according to the control instruction setting database and step parameters, determine the instruction that can trigger the hemming mold to automatically fill the hemming step, when determining, determine the control instruction setting data of the numerical control device through the step parameters and the control instruction setting database and automatically set it, and trigger the control instruction after the setting is completed;

[0092] Step 4: Based on the control instruction, the hemming die is controlled to fill the steps of the target graphite sheet.

[0093] The working principle and beneficial effects of the above technical solution are:

[0094] The present invention introduces a control instruction setting database for the hemming mold, determines appropriate control instructions for the hemming mold according to the acquired step parameters of the target graphite sheet to be hemmed, and automatically controls the hemming mold to fill the steps of the target graphite sheet based on the control instructions, thereby avoiding the hemming step problem, reducing bubbles at the hemming location, increasing the hemming strength, and preventing the product from being easily delaminated.

[0095] In one embodiment, step 3: setting a database and step parameters according to the control instructions to determine the appropriate control instructions for the hemming mold includes:

[0096] According to the current position and step parameters of the hemming die, a three-dimensional simulation task is set; the three-dimensional simulation task includes: a task item sequence consisting of task items to be executed; wherein the task items to be executed are: the simulation execution steps that the hemming die model in the three-dimensional simulation model needs to simulate and execute, such as: first reaching the edge of the step from the current position (based on path planning technology planning), and then controlling the hemming die model to simulate filling according to the planned filling path from the step edge point to the step edge point, etc.; the three-dimensional simulation model is: a three-dimensional simulation model of step filling of the target graphite sheet to be processed by hemming;

[0097] According to the hemming mold action corresponding to the control instruction setting data in the control instruction setting database, the simulation action of the simulated hemming mold in the three-dimensional simulation model is obtained; wherein the simulation action and the hemming mold action correspond one to one, and the hemming mold action is: the action that the hemming mold is pre-defined and can be executed, and one hemming mold action corresponds to one control instruction setting data;

[0098] Determine the target simulation action sequence according to the three-dimensional simulation task and the simulation action; wherein, when determining the target simulation action sequence, determine the required execution actions in turn according to the required execution task items, and then determine the target simulation actions that correspond to the required execution actions from the simulation actions, and when the target simulation actions corresponding to the required execution task items in all the task item sequences are determined, the determination of the target simulation action sequence is completed;

[0099] Execute a target simulation action sequence in the three-dimensional simulation model, and determine whether there is a step in the target graphite sheet model in the three-dimensional simulation model after the execution is completed; wherein, when executing the target simulation action sequence in the three-dimensional simulation model, determine the simulation conditions of the three-dimensional simulation model corresponding to the target simulation action according to the order of the target simulation actions in the target simulation action sequence and perform corresponding simulation;

[0100] If there is no step, a data set is set according to the control instruction corresponding to the target simulation action sequence to determine the control instruction;

[0101] If there are steps, analyze the causes of simulation deviation.

[0102] The working principle and beneficial effects of the above technical solution are:

[0103] The present invention sets a three-dimensional simulation task that the hemming mold model needs to execute in the three-dimensional simulation model according to the current position and step parameters of the hemming mold; in addition, according to the hemming mold action when the control instruction setting data corresponds to the setting, the simulation action of the simulated hemming mold is determined; according to the sequence of the task items to be executed in the task item sequence, the simulation actions corresponding to the required actions of the task items to be executed are respectively determined, and a target simulation action sequence is determined; based on a preset simulation condition, a template is determined (a template for extracting the simulation conditions of the three-dimensional simulation model to realize the target simulation action by comparison with the target simulation action), and the simulation conditions of the target simulation action corresponding to the three-dimensional simulation model are determined according to the sequence of the target simulation actions in the target simulation action sequence. After the simulation conditions are configured, the simulation program is executed and the simulation result is obtained; if there is no step in the simulation result, it means that the simulation process is suitable, and the control instruction setting data set corresponding to the target simulation action sequence is extracted therefrom to determine the control instruction, otherwise, deviation analysis is required, thereby improving the accuracy and suitability of control.

[0104] In one embodiment, according to the current position and step parameters of the hemming die, a three-dimensional simulation task is set, including:

[0105] Obtaining an adjustable angle range of the hemming mold relative to the plane where the target graphite sheet is located and a movable range of the filling head of the hemming mold relative to the target graphite sheet;

[0106] According to the step parameters, determine the step point closest to the filling head of the hemming mold;

[0107] Determine the moving path based on the movable range and step locations;

[0108] Determine the filling strategy based on step parameters, step positions, adjustable angle range and movable range; based on 3D printing technology;

[0109] Determine the 3D simulation task based on the movement path and filling strategy.

[0110] The working principle and beneficial effects of the above technical solution are:

[0111] The present invention determines the step point closest to the filling head of the hemming mold according to the step parameters, determines the shortest moving path for the filling head of the hemming mold to move to the step point according to the step point and the movable range; determines the filling strategy according to the step parameters, step point, adjustable angle range and movable range; determines the three-dimensional simulation task according to the moving path and the filling strategy, which is more reasonable.

[0112] In one embodiment, if there is a step, a simulation deviation cause analysis is performed, including:

[0113] According to the task labels of the task items to be executed in the task item sequence, the task item sequence is divided into multiple task phase sequences; wherein the task label is: task type, such as: mold moving task, mold filling task, etc.;

[0114] Compare the stage target corresponding to the task stage sequence with the actual stage simulation result, and obtain the task stage sequence whose first stage deviation is greater than or equal to the preset stage deviation threshold; wherein the stage target is: the ideal simulation result in the three-dimensional simulation model after the simulation of the required execution task items of the task stage sequence is completed, for example: the graphite hemming model moves to the A coordinate; the actual stage simulation result is: the actual simulation result in the three-dimensional simulation model after the simulation of the required execution task items of the task stage sequence is completed, for example: the graphite hemming model moves to the B coordinate; the stage deviation is: the deviation corresponding to the task stage sequence, and the main changes corresponding to the task stage sequence are analyzed according to the principal component analysis method, and the deviation between the main changes of the ideal simulation result and the actual stage simulation result is analyzed, for example: the main change of the task stage sequence corresponding to the mold movement task is the coordinate position of the graphite hemming model, then the stage deviation is the coordinate distance, and the preset stage deviation threshold is manually set in advance;

[0115] If the acquisition fails, the unreasonable setting of the three-dimensional simulation task is regarded as the cause of the simulation deviation, and the three-dimensional simulation task is reset according to the current position and step parameters of the hemming mold; when resetting the three-dimensional simulation task, the current position and step parameters of the hemming mold are sent to the expert node to obtain the new three-dimensional simulation task replied by the expert node;

[0116] If the acquisition is successful, the corresponding task phase sequence is used as the target task phase sequence;

[0117] The cause of simulation deviation is analyzed according to the relevant simulation setting parameters of the target task phase sequence. The relevant simulation setting parameters are: simulation setting parameters related to the target task phase sequence, for example: if the target task phase sequence is a mold moving task, then the relevant simulation setting parameters are: simulation setting parameters related to the graphite hemming model moving; for another example: if the target task phase sequence is a mold filling task, then the relevant simulation setting parameters are: simulation setting parameters related to the graphite hemming model moving, and simulation setting parameters related to the graphite hemming model filling.

[0118] The working principle and beneficial effects of the above technical solution are:

[0119] The present invention introduces task tags of task items that need to be executed in a task item sequence, divides the task item sequence into multiple task stage sequences according to the task tags, compares the ideal simulation results and the actual simulation results in the three-dimensional simulation model after the simulation of the task items that need to be executed in the task stage sequence is completed, and attempts to obtain a task stage sequence in which the stage deviation is greater than or equal to a preset stage deviation threshold; if the acquisition fails, it means that there is no deviation in the simulation process, and unreasonable setting of the three-dimensional simulation task is taken as the cause of the simulation deviation, and the three-dimensional simulation task is reset; if the acquisition is successful, it means that there is a deviation in the simulation process, and the cause of the simulation deviation is analyzed according to the relevant simulation setting parameters of the target task stage sequence, and the cause of the deviation is adaptively analyzed to facilitate subsequent adjustments.

[0120] In one embodiment, the simulation deviation cause analysis is performed based on the relevant simulation setting parameters of the target task phase sequence, including:

[0121] Acquire the first simulation parameter type set of the target task phase; wherein the simulation parameter type is: simulation parameter type, such as: model parameters (geometric parameters, physical parameters, grid parameters and case parameters), simulation control parameters (time step, termination time), etc.;

[0122] Acquire a second simulation parameter type set of a task phase sequence preceding a target task phase sequence;

[0123] Eliminate the second simulation parameter type from the first simulation parameter type set to obtain a third simulation parameter type set;

[0124] Obtaining relevant simulation setting parameters of a third simulation parameter type;

[0125] According to the preset simulation knowledge base and relevant simulation setting parameters, the cause of simulation deviation is determined. Among them, the preset simulation knowledge base is a database containing simulation experience and knowledge, which is used to help analyze simulation results and diagnose problems; when determining the cause of simulation deviation, the relevant entries are searched in the simulation knowledge base according to the stage deviation results, and the cause of simulation deviation is determined according to the simulation parameter setting description of the third simulation parameter type in the relevant entry and the relevant simulation setting parameters. For example: the third simulation parameter type is: the newly added coordinate system or reference point in the target task stage, and the relevant entry is: the simulation knowledge entry of position deviation. In the simulation knowledge entry of position deviation, the simulation setting description related to the coordinate system or reference point is determined and compared with the actual newly added coordinate system or reference point to determine whether the relevant simulation setting parameter settings are reasonable. If not, the unreasonable setting of the corresponding relevant simulation setting parameter is regarded as the cause of simulation deviation.

[0126] The working principle and beneficial effects of the above technical solution are:

[0127] The present invention compares the first simulation parameter type set of the target task stage with the second simulation parameter type set of the task stage sequence before the target task stage sequence, and obtains relevant simulation setting parameters of the newly added third simulation parameter type; introduces a simulation knowledge base, searches for relevant entries in the simulation knowledge base according to the stage deviation results, and performs rationality analysis on the relevant simulation setting parameters according to the simulation parameter setting description of the third simulation parameter type in the relevant entries; if unreasonable, the unreasonable setting of the corresponding relevant simulation setting parameters is taken as the cause of simulation deviation, and the relevant simulation setting parameters of the target task stage sequence are introduced to perform simulation deviation cause analysis, thereby improving the efficiency of correcting simulation errors.

[0128] The embodiment of the present invention provides a graphite hemming enhanced mold control method, further comprising:

[0129] Based on a preset edge feature extraction template, a first edge feature set of a target graphite sheet is obtained according to the step parameters; wherein the preset edge feature extraction template is a template pre-set to extract edge features (e.g., edge shape, size, edge smoothness) from information such as a graphite sheet image and three-dimensional data;

[0130] Obtain quality inspection records; wherein, the quality inspection records are: the process records of quality inspection of graphite sheets with hemming treatment in history;

[0131] According to the quality inspection records, the second edge feature set of the historical graphite sheets that failed the quality inspection and the historical factors that caused the quality inspection failure are obtained; wherein the historical factors are: the reasons for the second edge feature set that caused the graphite sheets to appear extracted from the quality inspection records, such as: the skewed edge of the steel strip;

[0132] Perform feature matching on the first edge-wrapping feature set and the second edge-wrapping feature set to obtain feature matching similarity;

[0133] If the feature matching similarity is greater than or equal to a preset feature matching similarity threshold, the corresponding historical factor is used as the target historical factor; wherein the feature matching similarity threshold is preset manually, for example: 0.9;

[0134] Determine whether the target historical factors exist at the target graphite sheet production site. If so, perform on-site processing according to the corresponding processing methods of the target historical factors in the quality inspection records;

[0135] Among them, judging whether the target graphite sheet production site has target historical factors includes:

[0136] Obtaining the factor capture conditions of the target historical factors; wherein the factor capture conditions are: the shooting conditions that can obtain the image containing the target historical factors, such as: capturing the edge position and viewing angle of the steel strip;

[0137] Acquire device information of a shooting device at a target graphite sheet production site; wherein the device information is: shooting parameters of the shooting device;

[0138] According to the device information, the historical shooting features of the preset time before the target graphite sheet is subjected to the hemming process are obtained. The historical shooting features include: the shooting position and shooting angle of the shooting device at each historical shooting time point; the preset time is: the time from the target graphite sheet entering the production line to the time before the hemming process is performed;

[0139] Determine whether there is a shooting position and shooting angle of the shooting device at a historical shooting time point that meets the factor capture condition;

[0140] If so, the historical shooting information is obtained according to the historical shooting time point, and whether the target historical factor exists is determined according to the historical shooting information;

[0141] If it does not exist, configure the capture condition according to the factor capture condition and the device information;

[0142] If the capture condition configuration is successful, obtain the real-time shooting information and determine whether there are target historical factors based on the real-time shooting information;

[0143] If the capture condition configuration fails, dispatch on-site staff to check whether there are target historical factors.

[0144] The working principle and beneficial effects of the above technical solution are:

[0145] Various factors in the production process of graphite sheets greatly affect the quality of the produced graphite sheets. Therefore, an edge feature extraction template is introduced to extract the first edge feature set; historical quality inspection records are introduced to determine the second edge feature set of historical graphite sheets that failed quality inspection and their corresponding historical factors that led to the failure of quality inspection;

[0146] Perform feature matching on the first edge feature set and the second edge feature set to obtain feature matching similarity and screen suspicious target historical factors;

[0147] Further verify the target historical factors to determine whether the target historical factors exist at the target graphite sheet production site. If so, it means that the historical production site corresponding to the target historical factors in the target graphite sheet production site has the same problem. Perform on-site processing based on the corresponding processing method of the historical production site in the quality inspection record;

[0148] A method for determining whether a target historical factor exists at a target graphite sheet production site is as follows: obtaining factor capture conditions of the target historical factor, and then obtaining device information of a shooting device at the target graphite sheet production site; the device information includes: the shooting time, shooting position and shooting angle of a fixed-position shooting camera according to a preset monitoring strategy; the shooting time, shooting position and shooting angle of a robot-mounted shooting camera according to a preset monitoring strategy; extracting historical shooting features, determining whether there is a historical situation that satisfies the factor capture conditions, and if so, verifying the target historical factor by extracting the corresponding historical shooting information; if there is no situation that satisfies the factor capture conditions in history, it is necessary to configure the shooting device according to the factor capture conditions, and then automatically obtain the verification information by verifying the target historical factor based on the real-time acquisition of real-time shooting information; if the shooting device cannot meet the factor capture conditions even through active control, manual on-site verification is required, thereby improving the efficiency of attributing abnormalities when the edge wrapping is abnormal, and further improving the processing efficiency.

[0149] In one embodiment, configuring the capture condition according to the factor capture condition and the device information includes:

[0150] Obtain the corresponding target historical factor at the historical shooting time point where the shooting device does not have a shooting position and a shooting angle that meet the factor capture conditions, and use it as the historical factor to be observed;

[0151] Obtain a production line map, and mark the location of the historical factor to be observed in the production line map; wherein the location is the marked location of the historical factor to be observed (for example, the edge of the steel strip) in the production line map;

[0152] Obtain the distance information between the location point and the driving path close to the location point; the driving path close to the location point is: the channel range where personnel / equipment marked in the production line map can move within a preset range (for example, within 20 meters) from the location point; the distance information is: the distance between the location point and each point on the driving path, for example, 5 meters;

[0153] Obtaining a shooting range of the mobile shooting device; wherein the shooting range is determined by shooting parameters of the mobile shooting device, such as 10 meters;

[0154] Determine, according to the shooting range and distance information, a driving path segment when the historical factor to be observed can fall into the shooting range of the mobile shooting device; wherein the driving path segment is a local route segment of the driving path, and the number of historical factors to be observed corresponding to the driving path segment is greater than or equal to 1;

[0155] Traverse each driving path segment in turn, and take the driving path segment being traversed as the target driving path segment;

[0156] Obtaining the capture conditions of the factors to be configured for the historical factors to be observed corresponding to the target driving path segment; wherein the capture conditions of the factors to be configured are: the shooting position and shooting angle of the historical factors to be observed corresponding to the target driving path segment;

[0157] According to the shooting angle range and shooting position range of the mobile shooting device, the to-be-configured factor capture condition of each to-be-observed historical factor corresponding to the target driving path segment is configured;

[0158] If the configuration of the capture condition of the factor to be configured exists for the historical factor to be observed is successful, the association between the successfully configured configuration parameters and the target driving path segment is recorded, and the target driving path segment is used as the path segment to be constructed;

[0159] The historical factors to be observed that successfully configure the capture conditions of the factors to be configured are taken as the target factors, the driving path segments to be traversed corresponding to the target factors are eliminated, and the traversal is continued;

[0160] If the capture conditions of the factors to be configured for each historical factor to be observed fail to be configured, continue traversing;

[0161] When all the driving path segments are traversed, the inclusion relationship between all the path segments to be constructed and the historical factors to be observed is determined;

[0162] If there is an inclusion relationship, retain the path segment with the largest factor range to be constructed;

[0163] The path segment to be constructed with the largest factor range and the path segment to be constructed without the inclusion relationship of the historical factors to be observed are taken as the target path segment;

[0164] Plan the shortest route through all target path segments in the production line map;

[0165] The mobile camera is controlled to move based on the shortest route. When moving, the mobile camera is controlled to observe the historical factors to be observed according to the configuration parameters associated with the shortest route.

[0166] The working principle and beneficial effects of the above technical solution are:

[0167] When the relevant information of the target historical factor cannot be directly obtained from the historical shooting features, it is necessary to actively observe the historical factor to be observed; mark the location point of the historical factor to be observed in the production line map, determine the distance information between the location point and the driving path close to the location point, and determine the driving path segment in which the historical factor to be observed can fall within the shooting range of the mobile shooting device according to the shooting range and distance information. One historical factor to be observed may correspond to multiple driving path segments, and one driving path segment may also correspond to multiple historical factors to be observed. When multiple target observations are performed in the prior art, the route to the observation is usually planned based on each target position. However, there is a situation where target A and target B can be observed on route 1 at the same time, and target B is closer to route 2. In the prior art, because route planning is planned before observation, the planned route needs to pass through route 1 and route 2 at the same time. The embodiment of the present invention can solve this problem well. According to the shooting angle range and shooting position range of the mobile shooting device, each historical factor to be observed corresponding to the target driving path segment is configured. The capture conditions of the factors to be configured for the historical factors to be observed are configured successfully. If the capture conditions of the factors to be configured for the historical factors to be observed exist, the association between the configuration parameters of the successful configuration and the target driving path segment is recorded, and the target driving path segment is used as the path segment to be constructed; the historical factors to be observed for which the capture conditions of the factors to be configured are successfully configured are used as the target factors, the driving path segments to be traversed corresponding to the target factors alone are eliminated, and the traversal is continued; when all the driving path segments are traversed, the inclusion relationship between all the path segments to be constructed and the historical factors to be observed is determined. If there is an inclusion relationship (for example: route 1 corresponds to historical factors a and b to be observed; route 2 corresponds to historical factors a, b and c to be observed), the path segment to be constructed with the largest factor range (for example, route 2) is retained to obtain the target path segment; the shortest route passing through all the target path segments is planned in the production line map, and the mobile shooting device is controlled to move based on the shortest route. When moving, the mobile shooting device is controlled according to the configuration parameters associated with the shortest route to ensure the collaborative observation of as many historical factors to be observed as possible and improve the efficiency of active observation.

[0168] The embodiment of the present invention provides a mold control system with enhanced graphite hemming, such as Figure 2 As shown, including:

[0169] The step parameter acquisition subsystem 1 is used to acquire the step parameters of the target graphite sheet to be processed by hemming;

[0170] Database acquisition subsystem 2, used to acquire the control instruction setting database of the hemming mold;

[0171] The control instruction determination subsystem 3 is used to set the database and step parameters according to the control instruction and determine the appropriate control instruction for the hemming mold;

[0172] The step filling control subsystem 4 is used to control the hemming die to perform step filling of the target graphite sheet based on the control instruction.

[0173] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A graphite edge-enhanced mold control method, characterized in that: include: Step 1: Obtaining the step parameters of the target graphite sheet to be processed by hemming; Step 2: Obtain the control instruction setting database of the hemming mold; Step 3: Set the database and step parameters according to the control instructions, and determine the appropriate control instructions for the hemming mold; Step 4: Based on the control instruction, the hemming die is controlled to fill the steps of the target graphite sheet.

2. A graphite edge-enhanced mold control method as claimed in claim 1, characterized in that: Step 1: Obtain the step parameters of the target graphite sheet to be processed, including: Based on the three-dimensional coordinate measuring machine, measure the three-dimensional information of the steps of the target graphite sheet; Analyze the three-dimensional information of the steps and obtain the step parameters.

3. A graphite edge reinforced mold control method as claimed in claim 1, characterized in that: Step 3: Set the database and step parameters according to the control instructions, and determine the appropriate control instructions for the hemming mold, including: According to the current position and step parameters of the hemming die, a three-dimensional simulation task is set; the three-dimensional simulation task includes: a task item sequence consisting of task items to be executed; According to the action of the hemming mold when the control instruction setting data in the control instruction setting database is set correspondingly, the simulation action of the simulated hemming mold in the three-dimensional simulation model is obtained; Determine the target simulation action sequence according to the three-dimensional simulation task and simulation action; Executing a target simulation action sequence in the three-dimensional simulation model, and determining whether a step exists in the target graphite sheet model in the three-dimensional simulation model after the execution is completed; If there is no step, a data set is set according to the control instruction corresponding to the target simulation action sequence to determine the control instruction; If there are steps, analyze the causes of simulation deviation.

4. A graphite edge-enhanced mold control method as claimed in claim 3, characterized in that: According to the current position and step parameters of the hemming die, set up the 3D simulation task, including: Obtaining an adjustable angle range of the hemming mold relative to the plane where the target graphite sheet is located and a movable range of the filling head of the hemming mold relative to the target graphite sheet; According to the step parameters, determine the step point closest to the filling head of the hemming mold; Determine the moving path based on the movable range and step locations; Determine the filling strategy based on step parameters, step locations, adjustable angle range, and movable range; Determine the 3D simulation task based on the movement path and filling strategy.

5. A graphite edge reinforced mold control method as claimed in claim 3, characterized in that: If there is a step, conduct simulation deviation cause analysis, including: According to the task labels of the task items to be executed in the task item sequence, the task item sequence is divided into multiple task phase sequences; Compare the stage target corresponding to the task stage sequence with the actual stage simulation result, and obtain the task stage sequence whose first stage deviation is greater than or equal to a preset stage deviation threshold; If the acquisition fails, the unreasonable setting of the 3D simulation task is regarded as the cause of the simulation deviation, and the 3D simulation task is reset according to the current position and step parameters of the hemming die; If the acquisition is successful, the corresponding task phase sequence is used as the target task phase sequence; The causes of simulation deviations are analyzed based on the relevant simulation setting parameters of the target task phase sequence.

6. A graphite-wrapped reinforced mold control system, characterized in that: include: A step parameter acquisition subsystem, used to acquire the step parameters of a target graphite sheet to be processed by hemming; A database acquisition subsystem is used to acquire a control instruction setting database for the hemming mold; The control instruction determination subsystem is used to set the database and step parameters according to the control instructions and determine the appropriate control instructions for the hemming mold; The step filling control subsystem is used to control the hemming die to perform step filling of the target graphite sheet based on control instructions.

7. A graphite-wrapped reinforced mold control system as claimed in claim 6, characterized in that: The step parameter acquisition subsystem acquires the step parameters of the target graphite sheet to be processed, including: Based on the three-dimensional coordinate measuring machine, measure the three-dimensional information of the steps of the target graphite sheet; Analyze the three-dimensional information of the steps and obtain the step parameters.

8. A graphite-wrapped reinforced mold control system as claimed in claim 6, characterized in that: The control instruction determination subsystem sets the database and step parameters according to the control instruction, and determines the appropriate control instructions for the hemming mold, including: According to the current position and step parameters of the hemming die, a three-dimensional simulation task is set; the three-dimensional simulation task includes: a task item sequence consisting of task items to be executed; According to the action of the hemming mold when the control instruction setting data in the control instruction setting database is set correspondingly, the simulation action of the simulated hemming mold in the three-dimensional simulation model is obtained; Determine the target simulation action sequence according to the three-dimensional simulation task and simulation action; Executing a target simulation action sequence in the three-dimensional simulation model, and determining whether a step exists in the target graphite sheet model in the three-dimensional simulation model after the execution is completed; If there is no step, a data set is set according to the control instruction corresponding to the target simulation action sequence to determine the control instruction; If there are steps, analyze the causes of simulation deviation.

9. A graphite-wrapped reinforced mold control system as claimed in claim 8, characterized in that: The control instruction determination subsystem sets the 3D simulation task according to the current position and step parameters of the hemming die, including: Obtaining an adjustable angle range of the hemming mold relative to the plane where the target graphite sheet is located and a movable range of the filling head of the hemming mold relative to the target graphite sheet; According to the step parameters, determine the step point closest to the filling head of the hemming mold; Determine the moving path based on the movable range and step locations; Determine the filling strategy based on step parameters, step locations, adjustable angle range, and movable range; Determine the 3D simulation task based on the movement path and filling strategy.

10. A graphite-wrapped reinforced mold control system as claimed in claim 8, characterized in that: If there is a step in the control instruction determination subsystem, conduct simulation deviation cause analysis, including: According to the task labels of the task items to be executed in the task item sequence, the task item sequence is divided into multiple task phase sequences; Compare the stage target corresponding to the task stage sequence with the actual stage simulation result, and obtain the task stage sequence whose first stage deviation is greater than or equal to a preset stage deviation threshold; If the acquisition fails, the unreasonable setting of the 3D simulation task is regarded as the cause of the simulation deviation, and the 3D simulation task is reset according to the current position and step parameters of the hemming die; If the acquisition is successful, the corresponding task phase sequence is used as the target task phase sequence; The causes of simulation deviations are analyzed based on the relevant simulation setting parameters of the target task phase sequence.

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