Method and system for detecting verticality of cathode plate in copper electrolysis
By obtaining the standard cathode plate model and online copper electrolytic cell monitoring, selecting key detection points, and performing data processing and model fitting, the accuracy problem of copper electrolytic cathode plate verticality detection was solved and high-precision automatic detection was achieved.
Patent Information
- Application Number
- CN202510227911.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-28
- Publication Date
- 2025-09-12
- Estimated Expiration
- 2045-02-28
AI Technical Summary
In the prior art, the verticality detection of copper electrolytic cathode plates relies on manual measurement, which is easily affected by human errors and environmental factors, resulting in low detection accuracy and inability to ensure detection accuracy.
By obtaining the standard cathode plate model for inspection planning, selecting key inspection points, monitoring the operation of multiple online copper electrolytic cells and identifying anomalies, obtaining the point location data of key inspection points, performing data preprocessing and fitting the working cathode plate model, generating verticality inspection results, and displaying the results feedback.
It realizes the automatic detection of the verticality of the copper electrolysis cathode plate, has higher detection precision and accuracy, adapts to different production environments, and does not require manual intervention.
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Figure CN119935087B_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of copper electrolysis, and in particular relates to a method and system for detecting the verticality of a copper electrolysis cathode plate. Background Art
[0002] Copper electrolysis is the process of purifying crude copper through electrolytic refining to obtain high-purity copper. In the copper electrolysis process, crude copper is made into the anode and a pure copper sheet is used as the cathode in an electrolyte containing sulfuric acid and copper sulfate.
[0003] The verticality detection of copper electrolysis cathode plates is mainly used to detect the stability and accuracy of the cathode plates during the electrolysis process. It is of great significance for ensuring product quality, improving production efficiency and reducing production costs.
[0004] In the existing technology, the detection of the verticality of the copper electrolytic cathode plate mainly relies on manual measurement using mechanical devices, which is easily affected by human errors and environmental factors, resulting in low accuracy of the verticality detection results and unable to ensure the accuracy of the copper electrolytic cathode plate verticality detection. Summary of the Invention
[0005] The purpose of the embodiments of the present invention is to provide a method and system for detecting the verticality of a copper electrolysis cathode plate, aiming to solve the problems raised in the background technology.
[0006] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:
[0007] A method for detecting the verticality of a copper electrolysis cathode plate, the method specifically comprising the following steps:
[0008] Obtaining a standard cathode plate model of a copper electrolysis cathode plate, performing inspection planning on the standard cathode plate model, and selecting multiple key inspection points;
[0009] Monitor the operation of multiple online copper electrolytic cells, obtain operation monitoring data, identify abnormal operation, and select abnormal copper electrolytic cells;
[0010] Perform cathode plate detection and point position identification on the abnormal copper electrolytic cell, and obtain point position data of multiple key detection points;
[0011] Performing data preprocessing on the point position data and fitting a working cathode plate model;
[0012] The verticality detection and analysis of the working cathode plate model is performed to generate verticality detection results, and the result feedback is displayed.
[0013] As a further limitation of the technical solution of the embodiment of the present invention, the obtaining of a standard cathode plate model of a copper electrolysis cathode plate, performing inspection planning on the standard cathode plate model, and selecting a plurality of key inspection points specifically include the following steps:
[0014] Get the internal number information of the copper electrolysis cathode plate;
[0015] According to the internal number information, matching and downloading a standard cathode plate model from a preset internal model database;
[0016] Get point selection parameters;
[0017] According to the point selection parameters, a detection plan is performed on the standard cathode plate model, and a plurality of key detection points are selected.
[0018] As a further limitation of the technical solution of the embodiment of the present invention, the method of monitoring the operation of multiple online copper electrolytic cells, obtaining the operation monitoring data, identifying the abnormal operation, and selecting the abnormal copper electrolytic cell specifically includes the following steps:
[0019] Identify multiple online copper electrolytic cells;
[0020] Performing infrared monitoring on the plurality of online copper electrolytic cells to obtain infrared monitoring data;
[0021] Performing voltage and current monitoring on the plurality of online copper electrolytic cells to obtain voltage and current data;
[0022] Combining the infrared monitoring data and the voltage and current data to generate working monitoring data;
[0023] According to the preset working standard data, the working monitoring data is subjected to working abnormality identification, and an abnormal copper electrolytic cell is selected from the plurality of online copper electrolytic cells.
[0024] As a further limitation of the technical solution of the embodiment of the present invention, the cathode plate detection and point position identification of the abnormal copper electrolytic cell and the acquisition of point position data of multiple key detection points specifically include the following steps:
[0025] Get cathode plate detection parameters;
[0026] Performing cathode plate detection on the abnormal copper electrolytic cell according to the cathode plate detection parameters to obtain cathode plate detection data;
[0027] Construct a spatial coordinate system;
[0028] Based on the spatial coordinate system, point position identification is performed on the cathode plate detection data to obtain point position data of multiple key detection points.
[0029] As a further limitation of the technical solution of the embodiment of the present invention, the data preprocessing of the point position data and fitting the working cathode plate model specifically include the following steps:
[0030] Performing data filtering processing on the point position data;
[0031] performing error correction on the point position data;
[0032] Generate valid location data;
[0033] A working cathode plate model is fitted according to the effective position data.
[0034] As a further limitation of the technical solution of the embodiment of the present invention, the performing of verticality detection and analysis on the working cathode plate model, generating verticality detection results, and providing feedback and display of the results specifically include the following steps:
[0035] Performing verticality analysis on the working cathode plate model to calculate the verticality of the cathode plate;
[0036] Detecting and analyzing the verticality of the cathode plate according to a preset standard verticality interval to generate a verticality detection result;
[0037] Get the feedback display address;
[0038] The verticality detection result is transmitted to the feedback display address for result feedback display.
[0039] A copper electrolysis cathode plate verticality detection system includes a cathode plate detection planning unit, an electrolytic cell operation monitoring unit, a point position identification unit, a position data processing unit, and a detection feedback display unit, wherein:
[0040] A cathode plate detection planning unit is used to obtain a standard cathode plate model of a copper electrolysis cathode plate, perform detection planning on the standard cathode plate model, and select multiple key detection points;
[0041] The electrolytic cell operation monitoring unit is used to monitor the operation of multiple online copper electrolytic cells, obtain operation monitoring data, identify abnormal operation, and select abnormal copper electrolytic cells;
[0042] a point position identification unit, configured to perform cathode plate detection and point position identification on the abnormal copper electrolytic cell, and obtain point position data of a plurality of key detection points;
[0043] A position data processing unit, configured to perform data preprocessing on the point position data and fit a working cathode plate model;
[0044] The detection feedback display unit is used to perform verticality detection and analysis on the working cathode plate model, generate verticality detection results, and perform result feedback display.
[0045] As a further limitation of the technical solution of the embodiment of the present invention, the cathode plate detection planning unit specifically includes:
[0046] An information acquisition module is used to obtain the internal number information of the copper electrolysis cathode plate;
[0047] A model matching module, configured to match and download a standard cathode plate model from a preset internal model database according to the internal number information;
[0048] Parameter acquisition module, used to obtain point selection parameters;
[0049] The detection planning module is used to carry out detection planning for the standard cathode plate model according to the point selection parameters and select multiple key detection points.
[0050] As a further limitation of the technical solution of the embodiment of the present invention, the electrolytic cell operation monitoring unit specifically includes:
[0051] An online determination module, used to determine multiple online copper electrolytic cells;
[0052] an infrared monitoring module, configured to perform infrared monitoring on the plurality of online copper electrolytic cells and obtain infrared monitoring data;
[0053] A voltage and current monitoring module, configured to monitor the voltage and current of the plurality of online copper electrolytic cells and obtain voltage and current data;
[0054] A data integration module, configured to integrate the infrared monitoring data and the voltage and current data to generate working monitoring data;
[0055] The work abnormality identification module is used to identify work abnormalities on the work monitoring data according to preset work standard data, and select abnormal copper electrolytic cells from the multiple online copper electrolytic cells.
[0056] As a further limitation of the technical solution of the embodiment of the present invention, the detection feedback display unit specifically includes:
[0057] A verticality calculation module is used to perform verticality analysis on the working cathode plate model and calculate the verticality of the cathode plate;
[0058] A detection and analysis module, configured to detect and analyze the verticality of the cathode plate according to a preset standard verticality interval and generate a verticality detection result;
[0059] Address acquisition module, used to obtain feedback display address;
[0060] The feedback display module is used to transmit the verticality detection result to the feedback display address for result feedback display.
[0061] Compared with the prior art, the present invention has the following beneficial effects:
[0062] The embodiment of the present invention obtains a standard cathode plate model, performs inspection planning, and selects multiple key inspection points; performs work monitoring on multiple online copper electrolytic cells and selects abnormal copper electrolytic cells; performs cathode plate inspection and point position identification to obtain point position data for multiple key inspection points; performs data preprocessing on the point position data and fits a working cathode plate model; performs verticality inspection and analysis on the working cathode plate model, generates verticality inspection results, and provides feedback and displays the results. The embodiment of the present invention can select abnormal copper electrolytic cells, perform cathode plate inspection and point position identification, obtain point position data for multiple key inspection points, fit a working cathode plate model, perform verticality inspection and analysis, and achieve automatic inspection of the verticality of copper electrolytic cathode plates with higher inspection precision and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS
[0063] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, 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.
[0064] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.
[0065] Figure 2 A flowchart of selecting multiple key detection points in the method provided by an embodiment of the present invention is shown.
[0066] Figure 3 A flowchart of identifying abnormal working conditions in the method provided by an embodiment of the present invention is shown.
[0067] Figure 4 A flow chart of cathode plate detection and point position identification in the method provided by an embodiment of the present invention is shown.
[0068] Figure 5 A flow chart of fitting a working cathode plate model in the method provided by an embodiment of the present invention is shown.
[0069] Figure 6 A flow chart of verticality detection analysis and result feedback display in the method provided by an embodiment of the present invention is shown.
[0070] Figure 7 The application architecture diagram of the system provided by the embodiment of the present invention is shown.
[0071] Figure 8The figure shows a structural block diagram of a cathode plate detection planning unit in a system provided by an embodiment of the present invention.
[0072] Figure 9 The structure block diagram of the electrolytic cell operation monitoring unit in the system provided by the embodiment of the present invention is shown.
[0073] Figure 10 It shows a structural block diagram of the detection feedback display unit in the system provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0074] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.
[0075] It is understandable that in the prior art, the detection of the verticality of the copper electrolytic cathode plate mainly relies on manual measurement using mechanical devices, which is easily affected by human errors and environmental factors, resulting in low accuracy of the verticality detection results and the inability to ensure the accuracy of the copper electrolytic cathode plate verticality detection.
[0076] To solve the above problems, the embodiment of the present invention obtains a standard cathode plate model of the copper electrolytic cathode plate, performs detection planning on the standard cathode plate model, and selects multiple key detection points; performs work monitoring on multiple online copper electrolytic cells, obtains work monitoring data, identifies work anomalies, and selects abnormal copper electrolytic cells; performs cathode plate detection and point position identification on abnormal copper electrolytic cells, and obtains point position data of multiple key detection points; performs data preprocessing on the point position data and fits the working cathode plate model; performs verticality detection and analysis on the working cathode plate model, generates verticality detection results, and provides result feedback and display. It is possible to select abnormal copper electrolytic cells, perform cathode plate detection and point position identification, obtain point position data of multiple key detection points, fit the working cathode plate model, perform verticality detection and analysis, and realize automatic detection of the verticality of the copper electrolytic cathode plate with higher detection precision and accuracy.
[0077] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.
[0078] Specifically, the method for detecting the verticality of the copper electrolysis cathode plate comprises the following steps:
[0079] Step S101 : obtaining a standard cathode plate model of a copper electrolysis cathode plate, performing inspection planning on the standard cathode plate model, and selecting a plurality of key inspection points.
[0080] In an embodiment of the present invention, by obtaining the internal numbering information of the copper electrolysis cathode plate, according to the internal numbering information, the standard cathode plate model is matched and downloaded from the preset internal model database, and then the point selection parameters including quantity, interval distance, etc. are obtained. According to the point selection parameters, the detection plan of point selection is performed on the standard cathode plate model, and multiple key detection points are selected so that the multiple key detection points meet the point selection parameters.
[0081] It can be understood that the standard cathode plate model can be a three-dimensional model.
[0082] Specifically, Figure 2 A flowchart of selecting multiple key detection points in the method provided by an embodiment of the present invention is shown.
[0083] Among them, in the preferred embodiment provided by the present invention, the obtaining of a standard cathode plate model of a copper electrolysis cathode plate, performing inspection planning on the standard cathode plate model, and selecting a plurality of key inspection points specifically include the following steps:
[0084] Step S1011, obtaining the internal number information of the copper electrolysis cathode plate;
[0085] Step S1012, matching and downloading a standard cathode plate model from a preset internal model database according to the internal number information;
[0086] Step S1013, obtaining point selection parameters;
[0087] Step S1014: Perform inspection planning on the standard cathode plate model according to the point selection parameters, and select a plurality of key inspection points.
[0088] In a preferred embodiment of the present invention, the method of performing inspection planning on the standard cathode plate model according to the point selection parameters and selecting a plurality of key inspection points specifically includes the following steps:
[0089] Step S101401, performing finite element simulation on a standard cathode plate model to generate surface stress distribution data, the surface stress distribution data including three-dimensional coordinates and stress values of each point in the three-dimensional coordinates;
[0090] Step S101402: Calculate the stress change rate in the transverse and longitudinal directions at each point using the first-order derivative, and analyze the increase and decrease trends of the stress change rate in the transverse and longitudinal directions at each point using the second-order derivative based on the stress change rate.
[0091] Step S101403: Marking the areas where the curvature change exceeds a preset threshold according to the increase and decrease trend, and obtaining a cathode plate surface distribution map with stress-sensitive areas marked;
[0092] Step S101404: Acquire the voltage and current monitoring data of the electrolytic cell, and convert the voltage and current data into current density values at each candidate point according to the current distribution characteristics in the electrolytic cell;
[0093] Step S101405: Set a safety threshold, calculate the current density gradient between adjacent candidate points, and compare it with the safety threshold; use a logarithmic function to smooth areas where the gradient value exceeds the threshold, and then normalize the current density gradients of all candidate points to obtain a normalized current density gradient score;
[0094] Step S101406, obtaining historical fault records of similar cathode plates;
[0095] Step S101407, dividing the cathode plate surface into coordinate grids, and calculating the number of historical faults that occurred in each grid unit;
[0096] Step S101408: Define the highest number of failures as a reference value and perform normalization to obtain a normalized historical failure frequency coefficient for each point;
[0097] Step S101409: Based on the sensitivity of temperature changes to material deformation and current distribution, obtain the current real-time data of the electrolyte temperature sensor, and assign corresponding dynamic weights based on the electrolyte temperature changes to the stress-sensitive part, the current gradient part, and the historical fault part;
[0098] Step S101410: Weightedly combine the stress-sensitive area mark, the current density gradient normalized score, and the normalized historical fault frequency coefficient with the corresponding dynamic weight to obtain a comprehensive score, and generate a priority-ordered point list based on the comprehensive score;
[0099] Step S101411: Based on the spatial distribution of the points and their priority in the point list, the TSP optimization algorithm is used to generate the optimal detection path, and the points in the optimal detection path are taken as key detection points.
[0100] In this embodiment of the present invention, three key parameters—stress sensitivity, current density gradient, and historical failure frequency—are simultaneously incorporated. Stress sensitivity reflects the risk of structural deformation, current density gradient characterizes process anomalies, and historical failure frequency quantifies reliability trends. Dynamic weighting is used to rank parameter importance. For example, the stress weight is automatically reduced under high-temperature conditions to avoid overfitting. This significantly improves detection rates and reduces false alarm rates compared to traditional single-metric detection methods.
[0101] In addition, by setting up adaptive dynamic adjustment, the weight coefficient is adjusted in real time according to the electrolyte temperature. When the temperature rises, the weight of the current density term increases to capture abnormal electrolytic reactions, while the weight of the stress term decreases to avoid excessive attention to pseudo-defects caused by thermal expansion. It adapts to different production environments without the need to manually reset parameters, achieving fully automatic tuning.
[0102] Finally, the optimal detection path is generated by comprehensively considering the spatial distribution of the points and the priority sorting in the point list. The points in the optimal detection path are taken as key detection points to improve the detection efficiency.
[0103] Furthermore, the method for detecting the verticality of the copper electrolysis cathode plate further comprises the following steps:
[0104] Step S102: monitor the operation of multiple online copper electrolytic cells, obtain operation monitoring data, identify abnormal operation, and select abnormal copper electrolytic cells.
[0105] In an embodiment of the present invention, by determining a plurality of online copper electrolytic cells in a working state, infrared monitoring is performed on the plurality of online copper electrolytic cells to obtain infrared monitoring data, and voltage and current monitoring is performed on the plurality of online copper electrolytic cells to obtain voltage and current data, the infrared monitoring data and the voltage and current data are comprehensively sorted to generate working monitoring data, and then according to preset working standard data, working abnormalities are identified on the working monitoring data, and an abnormal copper electrolytic cell is selected from the plurality of online copper electrolytic cells.
[0106] It can be understood that the abnormal working state identification is an online copper electrolytic cell with abnormal temperature, current and voltage during operation.
[0107] Specifically, Figure 3 A flowchart of identifying abnormal working conditions in the method provided by an embodiment of the present invention is shown.
[0108] Among them, in the preferred embodiment provided by the present invention, the operation monitoring of multiple online copper electrolytic cells, obtaining the operation monitoring data, identifying the abnormal operation, and selecting the abnormal copper electrolytic cell specifically include the following steps:
[0109] Step S1021, determining a plurality of online copper electrolytic cells;
[0110] Step S1022, performing infrared monitoring on the plurality of online copper electrolytic cells to obtain infrared monitoring data;
[0111] Step S1023, monitoring the voltage and current of the plurality of online copper electrolytic cells to obtain voltage and current data;
[0112] Step S1024, combining the infrared monitoring data and the voltage and current data to generate working monitoring data;
[0113] Step S1025 , identifying abnormal working conditions on the working monitoring data according to the preset working standard data, and selecting an abnormal copper electrolytic cell from the plurality of online copper electrolytic cells.
[0114] In a preferred embodiment of the present invention, the step of integrating the infrared monitoring data and the voltage and current data to generate the working monitoring data specifically includes the following steps:
[0115] Step S102401, extracting the temperature value of each detection point in the electrolytic cell from the infrared monitoring data;
[0116] Step S102402, calculating the degree of dispersion of the temperature distribution based on the mean of the temperature values of all detection points to obtain the temperature variance;
[0117] Step S102403, obtaining the process cycle of the electrolysis process, and using the current time position within the electrolysis cycle as a reference, generating a correction coefficient that fluctuates over time to obtain an environmental correction coefficient;
[0118] Step S102403, extracting the current voltage value from the voltage and current data, and calculating the voltage offset rate based on the current voltage value and the reference voltage;
[0119] Step S102404: Calculate the current change rate based on the current values of two adjacent monitorings in the voltage and current data, and fuse the voltage offset rate and the current change rate to obtain the voltage-current dynamic coupling value;
[0120] Step S102405, calculating the effect of infrared sensor delay on temperature detection based on the temperature variance and the infrared sensor response time, and obtaining a delay anomaly index;
[0121] In step S102406, the environmental correction coefficient is substituted into the S-type growth function as a correction term, the voltage-current dynamic coupling quantity and the delay anomaly index are weighted and fused, and the correction term is used to perform correction to obtain a comprehensive anomaly index.
[0122] Step S102407: Subsequently, the abnormal copper electrolytic cell can be directly selected based on the comprehensive abnormality index.
[0123] In an embodiment of the present invention, infrared temperature discretization quantifies local thermal field anomalies, while combining it with the dynamic coupling of voltage and current to capture sudden changes in the electromagnetic field, enabling collaborative analysis of the thermal and electrical dual physical fields. Compared to traditional single temperature or electrical parameter monitoring, the detection coverage is expanded to include multiple fault types such as electrolytic cell surface deformation, plate short circuits, and electrolyte concentration imbalance. A periodic environmental correction factor is also introduced to automatically compensate for daytime temperature differences or interference from workshop air conditioning. The correction factor is dynamically adjusted with the process cycle, eliminating the need for manual parameter intervention and adapting to three-shift continuous production scenarios.
[0124] In a preferred embodiment of the present invention, obtaining the process cycle of the electrolysis process, taking the position of the current time within the electrolysis cycle as a reference, generating a correction coefficient that fluctuates over time, and obtaining the environmental correction coefficient specifically include the following steps:
[0125] Step S1024031, obtaining the process cycle of the electrolysis process, and mapping the process cycle duration of the electrolysis process to a complete sinusoidal waveform period;
[0126] Step S1024032, taking the position of the current time within the sine waveform period as a reference, obtain the phase angle radian value;
[0127] Step S1024033, performing a sine function calculation on the phase angle radian value to obtain an original fluctuation value;
[0128] Step S1024034, applying linear mapping to the original fluctuation value to obtain an unrestricted correction coefficient;
[0129] Step S1024035: perform boundary constraint processing on the unrestricted correction coefficient to obtain a periodic environment correction coefficient.
[0130] Furthermore, the method for detecting the verticality of the copper electrolysis cathode plate further comprises the following steps:
[0131] Step S103: performing cathode plate detection and point position identification on the abnormal copper electrolytic cell, and obtaining point position data of a plurality of key detection points.
[0132] In an embodiment of the present invention, cathode plate detection parameters including detection position, detection angle, etc. are obtained, and then cathode plate detection of copper electrolysis is performed on an abnormal copper electrolytic cell according to the cathode plate detection parameters to obtain cathode plate detection data, and a spatial coordinate system is constructed with a preset coordinate origin position, and then point position identification is performed on the cathode plate detection data in the spatial coordinate system to obtain point position data of multiple key detection points, wherein the coordinate origin position can be the lower left corner of the abnormal copper electrolytic cell.
[0133] Specifically, Figure 4 A flow chart of cathode plate detection and point position identification in the method provided by an embodiment of the present invention is shown.
[0134] Among them, in the preferred embodiment provided by the present invention, the cathode plate detection and point position identification of the abnormal copper electrolytic cell, and obtaining the point position data of multiple key detection points specifically include the following steps:
[0135] Step S1031, obtaining cathode plate detection parameters;
[0136] Step S1032, performing cathode plate detection on the abnormal copper electrolytic cell according to the cathode plate detection parameters to obtain cathode plate detection data;
[0137] Step S1033, constructing a spatial coordinate system;
[0138] Step S1034: Based on the spatial coordinate system, point position identification is performed on the cathode plate detection data to obtain point position data of a plurality of key detection points.
[0139] Among them, in the preferred embodiment provided by the present invention, the point position identification of the cathode plate detection data based on the spatial coordinate system and the acquisition of the point position data of the plurality of key detection points specifically include the following steps:
[0140] Step S103401, obtaining polar coordinate parameters of the detection point and the current timestamp, the polar coordinate parameters including radius value, angle value and height value;
[0141] Step S103402, obtaining the process reference temperature and the current electrolytic cell temperature of the electrical appliance, and calculating the temperature deviation based on the process reference temperature and the current electrolytic cell temperature of the electrical appliance;
[0142] Step S103403, a compensation coefficient is given according to the current process characteristics, and a temperature impact factor is generated according to the compensation coefficient and the temperature deviation;
[0143] Step S103404, obtaining the real-time current value of the electrolytic cell, and obtaining an estimated electrolyte flow rate based on the flow rate-current relationship;
[0144] Step S103405, calculating the lateral displacement of the plate caused by the electrolyte impact based on the estimated electrolyte flow rate, and generating a lateral compensation amount based on the lateral displacement of the plate;
[0145] Step S103406, obtaining the initial timestamp of the plate being hoisted into the tank;
[0146] Step S103407, obtaining the service time of the plate according to the difference between the current timestamp and the initial timestamp when the plate is hoisted into the slot;
[0147] Step S103408, calculating the cumulative settlement amount according to the service time of the plate to obtain the settlement compensation amount;
[0148] Step S103409, compensating the radius value using the temperature influence factor to obtain an effective radius value after temperature compensation;
[0149] Step S103410: The effective radius value after temperature compensation is merged with the cosine value and sine value of the angle value to obtain the final X coordinate and the final Y coordinate;
[0150] Step S103411: The height value is combined with the settlement compensation amount to obtain the final Z coordinate. The final X coordinate, the final Y coordinate, and the final Z coordinate constitute the position of the key detection point.
[0151] In an embodiment of the present invention, conventional methods directly use the center of the plate as the origin for rectangular coordinate transformation, but fail to account for plate deformation errors caused by electrolyte flow. The present invention introduces a dynamic curvature compensation factor to suppress thermal expansion errors, electrolyte impact deformation, and cumulative deformation due to inter-stamping based on the current time, temperature, and electrolyte flow rate, thereby achieving multi-physics field coupling compensation and improving detection accuracy. Furthermore, this method eliminates the need for iterative optimization algorithms and can be completed within 1ms on a low-computing-power PLC controller, meeting the real-time detection requirements of production lines.
[0152] Furthermore, the method for detecting the verticality of the copper electrolysis cathode plate further comprises the following steps:
[0153] Step S104: pre-process the point position data and fit a working cathode plate model.
[0154] In an embodiment of the present invention, data filtering processing is performed on the point position data to reduce random errors in the point position data, and error correction processing is performed on the point position data to eliminate errors, generate valid position data, and then fit the working cathode plate model based on the valid position data.
[0155] Specifically, Figure 5 A flow chart of fitting a working cathode plate model in the method provided by an embodiment of the present invention is shown.
[0156] In a preferred embodiment of the present invention, the step of preprocessing the point position data and fitting the working cathode plate model specifically includes the following steps:
[0157] Step S1041, performing data filtering processing on the point position data;
[0158] Step S1042, performing error correction on the point position data;
[0159] Step S1043, generating valid location data;
[0160] Step S1044: fitting a working cathode plate model according to the effective position data.
[0161] Furthermore, the method for detecting the verticality of the copper electrolysis cathode plate further comprises the following steps:
[0162] Step S105 , performing verticality detection and analysis on the working cathode plate model, generating verticality detection results, and providing feedback and display of the results.
[0163] In an embodiment of the present invention, the verticality of the working cathode plate model is analyzed to calculate the verticality of the cathode plate, and then the verticality of the cathode plate is detected and analyzed with a preset standard verticality interval as a control standard to generate a verticality detection result. Specifically, when the verticality of the cathode plate is within the standard verticality interval, the verticality detection result is qualified; when the verticality of the cathode plate is not within the standard verticality interval, the verticality detection result is unqualified. By obtaining the feedback display address, the verticality detection result is transmitted to the feedback display address for result feedback display.
[0164] Specifically, Figure 6 A flow chart of verticality detection analysis and result feedback display in the method provided by an embodiment of the present invention is shown.
[0165] In a preferred embodiment of the present invention, the verticality detection and analysis of the working cathode plate model, the generation of verticality detection results, and the feedback display of the results specifically include the following steps:
[0166] Step S1051, performing verticality analysis on the working cathode plate model to calculate the cathode plate verticality;
[0167] Step S1052: Detect and analyze the verticality of the cathode plate according to a preset standard verticality interval to generate a verticality detection result;
[0168] Step S1053: Obtain feedback display address;
[0169] Step S1054: Transmit the verticality detection result to the feedback display address for result feedback display.
[0170] Further, Figure 7 The application architecture diagram of the system provided by the embodiment of the present invention is shown.
[0171] Among them, in another preferred embodiment provided by the present invention, the detection system of the verticality of the copper electrolysis cathode plate includes:
[0172] The cathode plate detection planning unit 101 is used to obtain a standard cathode plate model of a copper electrolysis cathode plate, perform detection planning on the standard cathode plate model, and select multiple key detection points.
[0173] In an embodiment of the present invention, the cathode plate detection planning unit 101 obtains the internal numbering information of the copper electrolysis cathode plate, matches and downloads the standard cathode plate model from a preset internal model database based on the internal numbering information, and then obtains point selection parameters including quantity, interval distance, etc., and performs point selection detection planning on the standard cathode plate model according to the point selection parameters, and selects multiple key detection points so that the multiple key detection points meet the point selection parameters.
[0174] Specifically, Figure 8 FIG. 1 shows a structural block diagram of the cathode plate detection planning unit 101 in the system provided by an embodiment of the present invention.
[0175] In a preferred embodiment of the present invention, the cathode plate detection planning unit 101 specifically includes:
[0176] The information acquisition module 1011 is used to obtain the internal number information of the copper electrolysis cathode plate;
[0177] A model matching module 1012 is used to match and download a standard cathode plate model from a preset internal model database according to the internal number information;
[0178] Parameter acquisition module 1013, used to obtain point selection parameters;
[0179] The inspection planning module 1014 is used to perform inspection planning on the standard cathode plate model according to the point selection parameters and select multiple key inspection points.
[0180] Furthermore, the copper electrolysis cathode plate verticality detection system also includes:
[0181] The electrolytic cell operation monitoring unit 102 is used to monitor the operation of multiple online copper electrolytic cells, obtain operation monitoring data, identify abnormal operation, and select abnormal copper electrolytic cells.
[0182] In an embodiment of the present invention, the electrolytic cell operation monitoring unit 102 determines a plurality of online copper electrolytic cells in a working state, performs infrared monitoring on the plurality of online copper electrolytic cells to obtain infrared monitoring data, and performs voltage and current monitoring on the plurality of online copper electrolytic cells to obtain voltage and current data, performs comprehensive data organization on the infrared monitoring data and the voltage and current data to generate operation monitoring data, and then identifies operation anomalies on the operation monitoring data according to preset operation standard data, and selects an abnormal copper electrolytic cell from the plurality of online copper electrolytic cells.
[0183] Specifically, Figure 9 A structural block diagram of the electrolytic cell operation monitoring unit 102 in the system provided by an embodiment of the present invention is shown.
[0184] Among them, in the preferred embodiment provided by the present invention, the electrolytic cell operation monitoring unit 102 specifically includes:
[0185] An online determination module 1021 is used to determine a plurality of online copper electrolytic cells;
[0186] Infrared monitoring module 1022, used to perform infrared monitoring on the plurality of online copper electrolytic cells and obtain infrared monitoring data;
[0187] A voltage and current monitoring module 1023 is used to monitor the voltage and current of the plurality of online copper electrolytic cells and obtain voltage and current data;
[0188] A data integration module 1024 is configured to integrate the infrared monitoring data and the voltage and current data to generate working monitoring data;
[0189] The abnormality identification module 1025 is used to identify abnormalities in the work monitoring data according to preset standard work data, and select abnormal copper electrolytic cells from the multiple online copper electrolytic cells.
[0190] Furthermore, the copper electrolysis cathode plate verticality detection system also includes:
[0191] The point position identification unit 103 is used to perform cathode plate detection and point position identification on the abnormal copper electrolytic cell, and obtain point position data of multiple key detection points.
[0192] In an embodiment of the present invention, the point position identification unit 103 obtains cathode plate detection parameters including detection position, detection angle, etc., and then performs cathode plate detection of copper electrolysis on the abnormal copper electrolytic cell according to the cathode plate detection parameters to obtain cathode plate detection data, and constructs a spatial coordinate system with a preset coordinate origin position, and then performs point position identification on the cathode plate detection data in the spatial coordinate system to obtain point position data of multiple key detection points, wherein the coordinate origin position can be the lower left corner of the abnormal copper electrolytic cell.
[0193] The position data processing unit 104 is used to perform data preprocessing on the point position data and fit the working cathode plate model.
[0194] In an embodiment of the present invention, the position data processing unit 104 performs data filtering processing on the point position data to reduce random errors in the point position data, and performs error correction processing on the point position data to eliminate errors, generate valid position data, and then fit the working cathode plate model based on the valid position data.
[0195] The detection feedback display unit 105 is used to perform verticality detection and analysis on the working cathode plate model, generate verticality detection results, and perform result feedback display.
[0196] In an embodiment of the present invention, the detection feedback display unit 105 performs verticality analysis on the working cathode plate model, calculates the verticality of the cathode plate, and then detects and analyzes the verticality of the cathode plate with a preset standard verticality interval as a control standard to generate a verticality detection result. Specifically, when the verticality of the cathode plate is within the standard verticality interval, the verticality detection result is qualified; when the verticality of the cathode plate is not within the standard verticality interval, the verticality detection result is unqualified. By obtaining the feedback display address, the verticality detection result is transmitted to the feedback display address for result feedback display.
[0197] Specifically, Figure 10 FIG. 1 shows a structural block diagram of the detection feedback display unit 105 in the system provided by an embodiment of the present invention.
[0198] In a preferred embodiment of the present invention, the detection feedback display unit 105 specifically includes:
[0199] A verticality calculation module 1051 is used to perform verticality analysis on the working cathode plate model and calculate the verticality of the cathode plate;
[0200] A detection and analysis module 1052 is used to detect and analyze the verticality of the cathode plate according to a preset standard verticality interval and generate a verticality detection result;
[0201] The address acquisition module 1053 is used to obtain the feedback display address;
[0202] The feedback display module 1054 is used to transmit the verticality detection result to the feedback display address for result feedback display.
[0203] It should be understood that, although the various steps in the flow chart of each embodiment of the present invention are shown in sequence according to the indication of the arrows, these steps are not necessarily performed in sequence according to the order indicated by the arrows. Unless otherwise specified herein, the execution of these steps is not strictly limited in order, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.
[0204] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When executed, the program can include the processes of the above-described method embodiments. Any reference to memory, storage, database, or other media used in the various embodiments provided herein may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM).
[0205] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0206] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.
[0207] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.
Claims
1. A method for detecting the verticality of a copper electrolytic cathode plate, characterized in that: The method specifically comprises the following steps: Obtaining a standard cathode plate model of a copper electrolysis cathode plate, performing inspection planning on the standard cathode plate model, and selecting multiple key inspection points; Monitor the operation of multiple online copper electrolytic cells, obtain operation monitoring data, identify abnormal operation, and select abnormal copper electrolytic cells; Perform cathode plate detection and point position identification on the abnormal copper electrolytic cell, and obtain point position data of multiple key detection points; Performing data preprocessing on the point position data and fitting a working cathode plate model; Performing verticality detection and analysis on the working cathode plate model, generating verticality detection results, and providing feedback and display of the results; The steps of obtaining a standard cathode plate model of a copper electrolysis cathode plate, performing inspection planning on the standard cathode plate model, and selecting a plurality of key inspection points specifically include the following steps: Get the internal number information of the copper electrolysis cathode plate; According to the internal number information, matching and downloading a standard cathode plate model from a preset internal model database; Get point selection parameters; According to the point selection parameters, a detection plan is performed on the standard cathode plate model, and a plurality of key detection points are selected.
2. The method for detecting the verticality of a copper electrolysis cathode plate according to claim 1, wherein: The method of performing inspection planning on the standard cathode plate model according to the point selection parameters and selecting a plurality of key inspection points specifically includes the following steps: Perform finite element simulation on the standard cathode plate model to generate surface stress distribution data, which includes three-dimensional coordinates and stress values of each point in the three-dimensional coordinates; The first-order derivative is used to calculate the stress change rate at each point in the transverse and longitudinal directions. Based on the stress change rate, the second-order derivative is used to analyze the increase and decrease trend of the stress change rate at each point in the transverse and longitudinal directions. According to the increase and decrease trend, the areas where the curvature change exceeds the preset threshold are marked to obtain the cathode plate surface distribution map with the stress-sensitive areas marked; Obtain the voltage and current monitoring data of the electrolytic cell, and convert the voltage and current data into the current density value of each candidate point according to the current distribution characteristics in the electrolytic cell; A safety threshold is set, and the current density gradient between adjacent candidate points is calculated and compared with the safety threshold. For areas where the gradient value exceeds the threshold, a logarithmic function is used for smoothing. The current density gradients of all candidate points are then normalized to obtain a normalized current density gradient score. Obtain historical failure records of similar cathode plates; Divide the cathode plate surface into coordinate grids and calculate the number of historical faults that occurred in each grid unit; The highest number of failures is defined as the benchmark value and normalized to obtain the normalized historical failure frequency coefficient of each point; According to the sensitivity of temperature changes to material deformation and current distribution, the real-time data of the current electrolyte temperature sensor is obtained, and the corresponding dynamic weights are given based on the electrolyte temperature changes to the stress-sensitive part, the current gradient part, and the historical fault part; The stress-sensitive area markers, the normalized current density gradient score, and the normalized historical fault frequency coefficient are weighted and fused with the corresponding dynamic weights to obtain a comprehensive score. A priority list of points is generated based on the comprehensive score. According to the spatial distribution of points and their priority in the point list, the TSP optimization algorithm is used to generate the optimal detection path, and the points in the optimal detection path are taken as key detection points.
3. The method for detecting the verticality of a copper electrolysis cathode plate according to claim 2, wherein: The method of monitoring the operation of multiple online copper electrolytic cells, obtaining operation monitoring data, identifying abnormal operation, and selecting abnormal copper electrolytic cells specifically includes the following steps: Identify multiple online copper electrolytic cells; Performing infrared monitoring on the plurality of online copper electrolytic cells to obtain infrared monitoring data; Performing voltage and current monitoring on the plurality of online copper electrolytic cells to obtain voltage and current data; Combining the infrared monitoring data and the voltage and current data to generate working monitoring data; According to the preset working standard data, the working monitoring data is subjected to working abnormality identification, and an abnormal copper electrolytic cell is selected from the plurality of online copper electrolytic cells.
4. The method for detecting the verticality of a copper electrolysis cathode plate according to claim 3, wherein: The step of integrating the infrared monitoring data and the voltage and current data to generate the working monitoring data specifically includes the following steps: Extract the temperature value of each detection point in the electrolytic cell from the infrared monitoring data; The temperature variance is obtained by calculating the degree of dispersion of the temperature distribution based on the mean of the temperature values of all detection points. Obtain the process cycle of the electrolysis process, and use the current time position within the electrolysis cycle as a reference to generate a correction coefficient that fluctuates over time to obtain an environmental correction coefficient; Extract the current voltage value from the voltage and current data, and calculate the voltage offset rate based on the current voltage value and the reference voltage; The current change rate is calculated based on the current values of two adjacent monitorings in the voltage and current data, and the voltage offset rate and current change rate are fused to obtain the voltage and current dynamic coupling value; The influence of infrared sensor delay on temperature detection is calculated based on temperature variance and infrared sensor response time, and the delay anomaly index is obtained. Substitute the environmental correction coefficient into the S-type growth function as a correction term, weight the voltage and current dynamic coupling and the delay anomaly index, and use the correction term to make corrections to obtain the comprehensive anomaly index. Select abnormal copper electrolytic cells based on the comprehensive abnormal index.
5. The method for detecting the verticality of a copper electrolysis cathode plate according to claim 4, wherein: The process cycle of the electrolysis process is obtained, and the position of the current time within the electrolysis cycle is used as a reference to generate a correction coefficient that fluctuates over time. The environmental correction coefficient is obtained by specifically comprising the following steps: Obtaining a process cycle of the electrolysis process, and mapping the process cycle duration of the electrolysis process to a complete sinusoidal waveform cycle; The phase angle in radians is obtained based on the current time position within the sine waveform cycle. Perform sine function calculation on the phase angle radian value to obtain the original fluctuation value; Apply linear mapping to the original fluctuation value to obtain the unrestricted correction coefficient; The unrestricted correction coefficient is subjected to boundary constraint processing to obtain the periodic environmental correction coefficient.
6. The method for detecting the verticality of a copper electrolysis cathode plate according to claim 5, wherein: The cathode plate detection and point position identification of the abnormal copper electrolytic cell and the acquisition of point position data of a plurality of key detection points specifically include the following steps: Get cathode plate detection parameters; Performing cathode plate detection on the abnormal copper electrolytic cell according to the cathode plate detection parameters to obtain cathode plate detection data; Construct a spatial coordinate system; Based on the spatial coordinate system, point position identification is performed on the cathode plate detection data to obtain point position data of multiple key detection points.
7. The method for detecting the verticality of a copper electrolysis cathode plate according to claim 6, wherein: The step of performing point position identification on the cathode plate detection data based on the spatial coordinate system and obtaining point position data of a plurality of key detection points specifically includes the following steps: Get the polar coordinate parameters of the detection point and the current timestamp. The polar coordinate parameters include radius value, angle value and height value. Obtaining the process reference temperature and the current electrical electrolytic cell temperature, and calculating the temperature deviation based on the process reference temperature and the current electrical electrolytic cell temperature; Given a compensation coefficient based on the current process characteristics, a temperature impact factor is generated based on the compensation coefficient and temperature deviation; Obtain the real-time current value of the electrolytic cell and obtain the estimated electrolyte flow rate based on the flow rate-current relationship; Calculate the lateral displacement of the plate caused by the electrolyte impact based on the estimated electrolyte flow rate, and generate a lateral compensation amount based on the lateral displacement of the plate; Get the initial timestamp of the plate being hoisted into the slot; Obtain the service time of the plate based on the difference between the current timestamp and the initial timestamp when the plate was hoisted into the slot; Calculate the accumulated settlement amount based on the service life of the plate to obtain the settlement compensation amount; The radius value is compensated using the temperature influence factor to obtain the effective radius value after temperature compensation; The effective radius value after temperature compensation is combined with the cosine value and sine value of the angle value to obtain the final X coordinate and the final Y coordinate; The height value is combined with the settlement compensation amount to obtain the final Z coordinate. The final X coordinate, the final Y coordinate and the final Z coordinate constitute the position of the key detection point.
8. The method for detecting the verticality of a copper electrolysis cathode plate according to claim 7, wherein: The data preprocessing of the point position data and fitting the working cathode plate model specifically includes the following steps: Performing data filtering processing on the point position data; performing error correction on the point position data; Generate valid location data; A working cathode plate model is fitted according to the effective position data.
9. The method for detecting the verticality of a copper electrolysis cathode plate according to claim 8, wherein: The verticality detection and analysis of the working cathode plate model, generating verticality detection results, and providing feedback and display of the results specifically include the following steps: Performing verticality analysis on the working cathode plate model to calculate the verticality of the cathode plate; Detecting and analyzing the verticality of the cathode plate according to a preset standard verticality interval to generate a verticality detection result; Get the feedback display address; The verticality detection result is transmitted to the feedback display address for result feedback display.
10. A system for detecting the verticality of a copper electrolytic cathode plate, the system being applied to the method for detecting the verticality of a copper electrolytic cathode plate according to any one of claims 1 to 9, characterized in that: The system includes a cathode plate detection planning unit, an electrolytic cell operation monitoring unit, a point position identification unit, a position data processing unit and a detection feedback display unit, wherein: A cathode plate detection planning unit is used to obtain a standard cathode plate model of a copper electrolysis cathode plate, perform detection planning on the standard cathode plate model, and select multiple key detection points; The electrolytic cell operation monitoring unit is used to monitor the operation of multiple online copper electrolytic cells, obtain operation monitoring data, identify abnormal operation, and select abnormal copper electrolytic cells; a point position identification unit, configured to perform cathode plate detection and point position identification on the abnormal copper electrolytic cell, and obtain point position data of a plurality of key detection points; A position data processing unit, configured to perform data preprocessing on the point position data and fit a working cathode plate model; A detection feedback display unit is used to perform verticality detection and analysis on the working cathode plate model, generate verticality detection results, and provide result feedback display; The cathode plate detection planning unit specifically includes: An information acquisition module is used to obtain the internal number information of the copper electrolysis cathode plate; A model matching module, configured to match and download a standard cathode plate model from a preset internal model database according to the internal number information; Parameter acquisition module, used to obtain point selection parameters; A detection planning module, configured to perform detection planning on the standard cathode plate model according to the point selection parameters, and select a plurality of key detection points; The electrolytic cell operation monitoring unit specifically includes: An online determination module, used to determine multiple online copper electrolytic cells; an infrared monitoring module, configured to perform infrared monitoring on the plurality of online copper electrolytic cells and obtain infrared monitoring data; A voltage and current monitoring module, configured to monitor the voltage and current of the plurality of online copper electrolytic cells and obtain voltage and current data; A data integration module, configured to integrate the infrared monitoring data and the voltage and current data to generate working monitoring data; The work abnormality identification module is used to identify work abnormalities on the work monitoring data according to preset work standard data, and select abnormal copper electrolytic cells from the multiple online copper electrolytic cells.
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