Gold electrolysis intelligent control method, system, device and medium based on digitalization

Abstract

The present invention belongs to the technical field of gold electrolysis production, and discloses a gold electrolysis intelligent control method, system, device and medium based on digitization: multiple electrolytic cells connected in series are divided into N electrolytic cell sets, and the first power parameter value of each electrolytic cell set is collected respectively according to the first preset time period, and any electrolytic cell set is selected, and the first power parameter value is adjusted based on the adjustment parameter of the data acquisition device of any electrolytic cell set, and the second power parameter value of any electrolytic cell set is obtained. After traversing all electrolytic cells, the power parameter threshold is calculated according to the second power parameter value within the preset time period, and then the first control instruction is generated based on the power parameter threshold, which is used for intelligent control of the gold electrolysis process, and the corresponding control operation is executed according to the first control instruction. The technical solution of the present invention can improve the accuracy and efficiency of electrolytic cell control and improve production safety.

Description

Technical Field

[0001] The present invention belongs to the technical field of gold electrolysis production, and in particular relates to a gold electrolysis intelligent control method, system, device and medium based on digitization. Background Art

[0002] In industrial production, the refining of high-purity metals mainly adopts electrolysis, which is carried out in a high current density and high-concentration electrolyte. The metal is dissolved at the anode and precipitated at the cathode by the action of the current, thereby achieving the purpose of purification. With the development of science and technology, intelligent control of metal smelting has gradually become an important research direction.

[0003] Similar prior art includes a Chinese patent application with publication number CN107419300A, which discloses an intelligent control system and control method for producing metallic calcium by electrolysis of calcium chloride molten salt, obtaining the original data of the voltage and current of the electrolytic cell and the real-time temperature of the electrolyte, preprocessing the obtained original data of the voltage and current of the electrolytic cell and the real-time temperature of the electrolyte, obtaining the preprocessed data of the voltage and current of the electrolytic cell and the real-time temperature of the electrolyte, generating control instructions according to the preprocessed data of the voltage and current of the electrolytic cell and the real-time temperature of the electrolyte, for controlling the electrolysis process of metallic calcium, and executing corresponding control operations according to the control instructions. In the case of multiple electrolytic cells, data of different electrolytic cells are collected by different data acquisition devices, and the inconsistency of the data may be caused by the data acquisition devices, resulting in inaccurate control instructions. There is also a Chinese patent application with publication number CN116445980A, which discloses a method and system for determining the operating state of an electrolytic cell, obtaining the operating parameters and reference operating state of a target electrolytic cell, the reference operating state being the operating state of the target electrolytic cell statistically calculated by the electrolytic cell control system, determining the theoretical operating state of the target electrolytic cell according to the operating parameters, and verifying the theoretical operating state based on the reference operating state to obtain the current operating state of the target electrolytic cell. This method determines the theoretical operating state by the operating current and operating voltage within a set time, and infers the current operating state based on the theoretical operating state and the reference operating state, without considering the current actual situation of the electrolytic cell, resulting in inaccurate conclusions.

[0004] Therefore, it is an urgent problem to provide a digital-based intelligent control method, system, device and medium for gold electrolysis to improve the accuracy, stability and production efficiency of electrolytic cell control. Summary of the invention

[0005] In response to the above-mentioned technical problems, the present invention provides a digital-based intelligent control method, system, device and medium for gold electrolysis.

[0006] In a first aspect, the present invention provides a digital-based intelligent control method for gold electrolysis, the method comprising the following steps:

[0007] Step 1, dividing multiple electrolytic cells connected in series into N electrolytic cell sets, and collecting first power consumption parameter values ​​of each electrolytic cell set according to a first preset time period, wherein N is a positive integer greater than or equal to 1, the number of electrolytic cells in each electrolytic cell set is greater than or equal to 1, and the electrolytic cells in each electrolytic cell set are connected in sequence;

[0008] Step 2: Select the nth electrolytic cell set, search the parameter adjustment table based on the identifier of the data acquisition device of the nth electrolytic cell set, obtain the adjustment parameter corresponding to the data acquisition device, and calculate the second power consumption parameter value of the nth electrolytic cell set based on the adjustment parameter and the first power consumption parameter value of the nth electrolytic cell set. The calculation formula is:

[0009] V2 n =V1 n ×(1-PA n ),

[0010] Among them, V2 n is the second power consumption parameter value of the nth electrolytic cell set, V1 n is the first power consumption parameter value of the nth electrolytic cell set, PA n is the adjustment parameter of the nth electrolytic cell set, where n is a positive integer from 1 to N;

[0011] Step 3, repeat step 2 to obtain the second power consumption parameter value corresponding to all electrolytic cell sets;

[0012] Step 4: Calculate the power parameter threshold value according to the second power parameter value within the preset time period, and then generate a first control instruction based on the power parameter threshold value to perform intelligent control on the electrolysis process of gold;

[0013] Step 5: Execute the corresponding control operation according to the first control instruction.

[0014] Specifically, in step 2, the method for generating the parameter adjustment table is:

[0015] Step 21: Use all data acquisition devices to measure the power consumption parameters of the same circuit, and obtain the measurement value of each data acquisition device;

[0016] Step 22, calculate the average value of all measured values, and calculate the adjustment parameter of any data acquisition device based on the average value and the measured value of any data acquisition device, and the calculation formula is:

[0017]

[0018] Among them, PA i is the adjustment parameter of the ith data acquisition device, m iis the measurement value of the i-th data acquisition device, ma is the average value, i is a positive integer from 1 to I, and I is the total number of data acquisition devices measuring the power parameters of the same circuit;

[0019] Step 23: Allocate a unique identifier to any data acquisition device, and store the identifier of any data acquisition device and the adjustment parameter of any data acquisition device in a parameter adjustment table in correspondence with each other.

[0020] Specifically, the power usage parameter threshold includes a first power usage parameter threshold and a second power usage parameter threshold. In step 4, the power usage parameter threshold is calculated as follows:

[0021] Step 411, determine whether N is equal to 1, if so, proceed to step 412, if not, proceed to step 413;

[0022] Step 412: extract all second power usage parameter values ​​of the electrolytic cell set within a preset time period, and calculate the first power usage parameter threshold based on all second power usage parameter values. The calculation formula is:

[0023]

[0024] Among them, TV1 is the first power parameter threshold, AV is the average value of all second power parameter values, V2 max is the maximum value of all the second power parameters, V2 min is the minimum value of all second power consumption parameter values;

[0025] Step 413: select any electrolytic cell set, and extract a first power usage parameter array corresponding to any electrolytic cell set within a preset time period, and select another electrolytic cell set different from any electrolytic cell set, and extract a second power usage parameter array corresponding to the other electrolytic cell set within the preset time period, wherein the first power usage parameter array is a data set consisting of all second power usage parameter values ​​of any electrolytic cell set within the preset time period, and the second power usage parameter array is a data set consisting of all second power usage parameter values ​​of another electrolytic cell set within the preset time period;

[0026] Step 414: Calculate the second power usage parameter threshold based on the first power usage parameter array and the second power usage parameter array. The calculation formula is:

[0027]

[0028] Among them, TV2 is the second power parameter threshold, AV 1 is the average value of the first power parameter array, AV 2 is the average value of the second power parameter array, VA1 max is the maximum value of the first power parameter array, VA1 min is the minimum value of the first power parameter array, VA2max is the maximum value of the second power parameter array, VA2 min is the minimum value of the second power usage parameter array.

[0029] Specifically, in step 4, generating a first control instruction based on the power usage parameter threshold includes:

[0030] Step 421, determine whether N is equal to 1, if so, proceed to step 422, if not, proceed to step 423;

[0031] Step 422: define the second power consumption parameter value obtained at the current collection time as a value to be evaluated, determine whether the value to be evaluated is greater than the first power consumption parameter threshold, and if so, define the electrolytic cell set as an abnormal electrolytic cell set, and generate a first control instruction based on the set identifier of the abnormal electrolytic cell set;

[0032] Step 423: take the difference between the second power consumption parameter value of any electrolytic cell set at the current collection moment and the second power consumption parameter value of another electrolytic cell set as the value to be evaluated of any electrolytic cell set, and determine whether the value to be evaluated is greater than the second power consumption parameter threshold. If so, define any electrolytic cell set as an abnormal electrolytic cell set, and generate a first control instruction based on the set identifier of the abnormal electrolytic cell set.

[0033] Specifically, the first control instruction includes determining an abnormal electrolytic cell in the abnormal electrolytic cell set, powering off the abnormal electrolytic cell, and building a new working circuit for the remaining electrolytic cells.

[0034] Specifically, a third power parameter value of the entire electrolytic cell circuit is collected according to a second preset time period, and when the third power parameter value is greater than or equal to a preset threshold, a second control instruction is generated, and the second control instruction includes recovering the metal in the electrolytic cell.

[0035] Specifically, in step 1, after the first power usage parameter values ​​of all electrolytic cell sets are collected, the first power usage parameter values ​​are preprocessed, and the preprocessing includes processing missing values ​​and / or abnormal values.

[0036] In a second aspect, the present invention also provides a digital-based gold electrolysis intelligent control system, which includes: a data acquisition module, a data adjustment module, a decision module and a control execution module;

[0037] A data acquisition module, used to divide the multiple electrolytic cells connected in series into N electrolytic cell sets, and respectively collect a first power consumption parameter value of each electrolytic cell set according to a first preset time period, wherein N is a positive integer greater than or equal to 1, the number of electrolytic cells in each electrolytic cell set is greater than or equal to 1, and the electrolytic cells in each electrolytic cell set are connected in sequence;

[0038] The data adjustment module is used to select the nth electrolytic cell set, search the parameter adjustment table based on the identifier of the data acquisition device of the nth electrolytic cell set, obtain the adjustment parameter corresponding to the data acquisition device, calculate the second power parameter value of the nth electrolytic cell set based on the adjustment parameter and the first power parameter value of the nth electrolytic cell set, and after traversing all electrolytic cell sets, obtain the second power parameter values ​​corresponding to all electrolytic cell sets. The calculation formula of the second power parameter value is:

[0039] V2 n =V1 n ×(1-PA n ),

[0040] Among them, V2 n is the second power consumption parameter value of the nth electrolytic cell set, V1 n is the first power consumption parameter value of the nth electrolytic cell set, PA n is the adjustment parameter of the nth electrolytic cell set, where n is a positive integer from 1 to N;

[0041] A decision module, for calculating an electricity usage parameter threshold value according to a second electricity usage parameter value within a preset time period, and then generating a first control instruction based on the electricity usage parameter threshold value, for intelligently controlling the electrolysis process of gold;

[0042] The control execution module is used to execute the corresponding control operation according to the first control instruction.

[0043] In a third aspect, the present invention provides a device comprising a memory for storing a computer program, and a processor for implementing any one of the above-mentioned digital-based intelligent control methods for gold electrolysis when executing the computer program.

[0044] In a fourth aspect, the present invention provides a computer storage medium storing program instructions, wherein when the program instructions are executed, the device where the computer storage medium is located is controlled to execute any one of the above-mentioned digital-based intelligent control methods for gold electrolysis.

[0045] The present invention discloses a digital-based intelligent control method, system, device and medium for gold electrolysis, which divides multiple serially connected electrolytic cells into N electrolytic cell sets, collects the first power parameter value of each electrolytic cell set according to the first preset time period, and then adjusts the first power parameter value based on the adjustment parameter of the data acquisition device corresponding to each electrolytic cell set to generate a second power parameter value, thereby improving the accuracy of data acquisition and laying a foundation for accurate intelligent control. Then, the power parameter threshold is calculated based on the second power parameter value within the preset time period, and a control instruction is generated based on the power parameter threshold. According to the technical solution of the present invention, the operation of multiple serially connected electrolytic cells can be centrally monitored, and while ensuring the accuracy of the collected data, the amount of data collection is reduced, the data processing speed is accelerated, the accuracy of intelligent control is improved, and production stability and safety are guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0047] Figure 1 It is a flow chart of the digital-based intelligent control method for gold electrolysis of the present invention;

[0048] Figure 2 It is a modular schematic diagram of the digital-based gold electrolysis intelligent control system of the present invention. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical scheme and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. Obviously, the specific embodiments described herein are only used to explain the present invention and are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0050] It should be noted that if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0051] Figure 1 The figure is a flow chart of an embodiment of the digital-based intelligent control method for gold electrolysis provided by the present invention, and the flow chart specifically includes the following steps:

[0052] Step 1: Divide multiple electrolytic cells connected in series into N electrolytic cell sets, and collect the first power consumption parameter value of each electrolytic cell set according to a first preset time period, wherein N is a positive integer greater than or equal to 1, the number of electrolytic cells in each electrolytic cell set is greater than or equal to 1, and the electrolytic cells in each electrolytic cell set are connected in sequence.

[0053] The first preset time period is set according to the experience of those skilled in the art or according to the actual application scenario, and the embodiment of the present application does not limit this. Exemplarily, the first preset time period is 5 minutes, 10 minutes or 30 minutes.

[0054] Exemplarily, there are 9 electrolytic cells connected in series, which are divided into 3 sets, electrolytic cells No. 1 to No. 3 are divided into the first electrolytic cell set, electrolytic cells No. 4 to No. 6 are divided into the first electrolytic cell set, and electrolytic cells No. 7 to No. 9 are divided into the first electrolytic cell set.

[0055] Preferably, the first electrical parameter is voltage or resistance, and the first electrical parameter value is a voltage value or a resistance value.

[0056] Specifically, in step 1, after the first power usage parameter values ​​of all electrolytic cell sets are collected, the first power usage parameter values ​​are preprocessed, and the preprocessing includes processing missing values ​​and / or abnormal values.

[0057] Since data is abnormal or missing due to abnormalities in data acquisition equipment or network, preprocessing is performed after obtaining the first power consumption parameter value.

[0058] Step 2: Select the nth electrolytic cell set, search the parameter adjustment table based on the identifier of the data acquisition device of the nth electrolytic cell set, obtain the adjustment parameter corresponding to the data acquisition device, and calculate the second power consumption parameter value of the nth electrolytic cell set based on the adjustment parameter and the first power consumption parameter value of the nth electrolytic cell set. The calculation formula is:

[0059] V2 n =V1 n ×(1-PA n ),

[0060] Among them, V2 n is the second power consumption parameter value of the nth electrolytic cell set, V1 n is the first power consumption parameter value of the nth electrolytic cell set, PA n is the adjustment parameter of the nth electrolytic cell set, where n is a positive integer from 1 to N.

[0061] Due to differences in manufacturers, models, hardware devices, etc., data acquisition devices will inevitably differ, resulting in deviations when using different data acquisition devices to measure power parameters at the same location. When intelligent control is required based on multiple measurement data, in order to achieve precise control, the accuracy of the measurement data must be guaranteed. Therefore, the data acquisition device must be calibrated before data measurement.

[0062] Specifically, in step 2, the method for generating the parameter adjustment table is:

[0063] Step 21: Use all data acquisition devices to measure the power consumption parameters of the same circuit, and obtain the measurement value of each data acquisition device.

[0064] Step 22, calculate the average value of all measured values, and calculate the adjustment parameter of any data acquisition device based on the average value and the measured value of any data acquisition device, and the calculation formula is:

[0065]

[0066] Among them, PA i is the adjustment parameter of the ith data acquisition device, m i is the measurement value of the i-th data acquisition device, ma is the average value, i is a positive integer from 1 to I, and I is the total number of data acquisition devices measuring the power parameters of the same circuit.

[0067] Step 23: Allocate a unique identifier to any data acquisition device, and store the identifier of any data acquisition device and the adjustment parameter of any data acquisition device in a parameter adjustment table in correspondence with each other.

[0068] When the adjustment parameter is calculated based on the average value, the adjustment parameter may also be calculated based on the maximum value or the minimum value.

[0069] If the same data acquisition device can collect multiple power parameters, the adjustment parameters are calculated for each power parameter. For example, a multimeter can be used to measure current, voltage, resistance, etc. For the same multimeter, the adjustment parameters corresponding to the current, the adjustment parameters corresponding to the voltage, and the adjustment parameters corresponding to the resistance are calculated respectively.

[0070] Step 3: Repeat step 2 to obtain the second power consumption parameter value corresponding to all electrolytic cell sets.

[0071] Step 4: Calculate the power usage parameter threshold value according to the second power usage parameter value within a preset time period, and then generate a first control instruction based on the power usage parameter threshold value for intelligently controlling the gold electrolysis process.

[0072] The preset time period is set according to the experience of those skilled in the art or according to actual application scenarios, and the embodiments of the present application are not limited to this.

[0073] The first power consumption parameter value is collected at preset intervals and the power consumption threshold is calculated, so that anomalies can be discovered in time, the false detection rate can be reduced, and the monitoring efficiency can be improved.

[0074] Specifically, the power usage parameter threshold includes a first power usage parameter threshold and a second power usage parameter threshold. In step 4, the power usage parameter threshold is calculated as follows:

[0075] Step 411, determine whether N is equal to 1, if so, go to step 412, if not, go to step 413.

[0076] Step 412: extract all second power usage parameter values ​​of the electrolytic cell set within a preset time period, and calculate the first power usage parameter threshold based on all second power usage parameter values. The calculation formula is:

[0077]

[0078] Among them, TV1 is the first power parameter threshold, AV is the average value of all second power parameter values, V2 max is the maximum value of all the second power parameters, V2 min is the minimum value of all the second power consumption parameter values.

[0079] Step 413, select any electrolytic cell set, and extract the first power usage parameter array corresponding to any electrolytic cell set within a preset time period, and at the same time select another electrolytic cell set different from any electrolytic cell set, and extract the second power usage parameter array corresponding to the other electrolytic cell set within the preset time period, wherein the first power usage parameter array is a data set composed of all second power usage parameter values ​​of any electrolytic cell set within the preset time period, and the second power usage parameter array is a data set composed of all second power usage parameter values ​​of another electrolytic cell set within the preset time period.

[0080] Step 414: Calculate the second power usage parameter threshold based on the first power usage parameter array and the second power usage parameter array. The calculation formula is:

[0081]

[0082] Among them, TV2 is the second power parameter threshold, AV 1 is the average value of the first power parameter array, AV 2 is the average value of the second power parameter array, VA1 max is the maximum value of the first power parameter array, VA1 min is the minimum value of the first power parameter array, VA2 max is the maximum value of the second power parameter array, VA2 min is the minimum value of the second power usage parameter array.

[0083] Specifically, in step 4, generating a first control instruction based on the power usage parameter threshold includes:

[0084] Step 421, determine whether N is equal to 1, if so, go to step 422, if not, go to step 423.

[0085] Step 422, define the second power parameter value obtained at the current collection moment as the value to be evaluated, determine whether the value to be evaluated is greater than the first power parameter threshold, and if so, define the electrolytic cell set as an abnormal electrolytic cell set, and generate a first control instruction based on the set identifier of the abnormal electrolytic cell set.

[0086] Step 423: take the difference between the second power consumption parameter value of any electrolytic cell set at the current collection moment and the second power consumption parameter value of another electrolytic cell set as the value to be evaluated of any electrolytic cell set, and determine whether the value to be evaluated is greater than the second power consumption parameter threshold. If so, define any electrolytic cell set as an abnormal electrolytic cell set, and generate a first control instruction based on the set identifier of the abnormal electrolytic cell set.

[0087] The resistance of a conductor is inversely proportional to its cross-sectional area. During the operation of an electrolytic cell, if the electrolyte level drops, the resistance of the electrolytic cell will increase. When multiple electrolytic cells are connected in series, the current flowing through each electrolytic cell is the same. The increase in the resistance of the electrolytic cell will further increase the voltage of the electrolytic cell. When the value to be assessed in any electrolytic cell set is greater than the power threshold, it means that there is an electrolytic cell with a lowered liquid level in the electrolytic cell set.

[0088] Each electrolytic cell can be monitored separately, but when there are a large number of electrolytic cells, monitoring them separately will result in a large amount of data collection, heavy analysis tasks, and slow analysis speed, which is not conducive to timely discovery of problems. Therefore, multiple electrolytic cells connected in series are divided into multiple sets. While ensuring the accuracy of the collected data, the amount of data collection is reduced, the data processing speed is accelerated, the speed of discovering problems is improved, and the stability and safety of production are guaranteed.

[0089] In the case where there are multiple electrolytic cell sets, the method of step 412 can also be used to calculate the power consumption parameter threshold of any electrolytic cell set, and further through the method of step 422, it can be judged whether any electrolytic cell set is abnormal. However, this method has a large amount of calculation. Therefore, in the case where there are multiple electrolytic cell sets, the power consumption parameter threshold is calculated according to the method of steps 413 to 414, and the difference between the second power consumption parameter value of any electrolytic cell set and that of another electrolytic cell set is used as the value to be evaluated of any electrolytic cell set. To judge whether any electrolytic cell set is abnormal, the power parameter threshold only needs to be calculated once, which reduces the amount of calculation of the power parameter threshold and speeds up the calculation.

[0090] Specifically, the first control instruction includes determining an abnormal electrolytic cell in the abnormal electrolytic cell set, powering off the abnormal electrolytic cell, and building a new working circuit for the remaining electrolytic cells.

[0091] When it is detected that the value of the first power consumption parameter increases, the abnormal electrolytic cell in the abnormal electrolytic cell set is identified, the power is cut off to the abnormal electrolytic cell, and the power supply path of other electrolytic cells is rebuilt, that is, the abnormal electrolytic cell is stopped and other electrolytic cells operate normally. This avoids the danger caused by the drop in liquid level and ensures production safety without affecting production efficiency and improving production stability.

[0092] Specifically, a third power parameter value of the entire electrolytic cell circuit is collected according to a second preset time period, and when the third power parameter value is greater than or equal to a preset threshold, a second control instruction is generated, and the second control instruction includes recovering the metal in the electrolytic cell.

[0093] The second preset time period and the preset threshold are set according to the experience of those skilled in the art or according to actual application scenarios, and are not limited in this regard in the embodiments of the present application.

[0094] Exemplarily, the third power usage parameter is current.

[0095] Preferably, the third power consumption parameter value is counted from the last time the metal on the cathode was collected. The amount of metal deposited on the cathode is determined by the metal percentage in the metal solution and the electrolysis current. Therefore, the metal collection time can be determined by counting the power consumption current to improve work efficiency.

[0096] Step 5: Execute the corresponding control operation according to the first control instruction.

[0097] Figure 2 FIG. 1 is a schematic diagram of the structure of an embodiment of a digital gold electrolysis intelligent control system provided by the present invention. Figure 2 As shown, the system includes: a data acquisition module 10, a data adjustment module 20, a decision module 30 and a control execution module 40.

[0098] The data acquisition module 10 is used to divide multiple electrolytic cells connected in series into N electrolytic cell sets, and collect the first power consumption parameter value of each electrolytic cell set according to a first preset time period, wherein N is a positive integer greater than or equal to 1, the number of electrolytic cells in each electrolytic cell set is greater than or equal to 1, and the electrolytic cells in each electrolytic cell set are connected in sequence.

[0099] The data adjustment module 20 is used to select the nth electrolytic cell set, search the parameter adjustment table based on the identifier of the data acquisition device of the nth electrolytic cell set, obtain the adjustment parameter corresponding to the data acquisition device, calculate the second power parameter value of the nth electrolytic cell set based on the adjustment parameter and the first power parameter value of the nth electrolytic cell set, and after traversing all electrolytic cell sets, obtain the second power parameter values ​​corresponding to all electrolytic cell sets. The calculation formula of the second power parameter value is:

[0100] V2 n =V1 n ×(1-PA n ),

[0101] Among them, V2 n is the second power consumption parameter value of the nth electrolytic cell set, V1 n is the first power consumption parameter value of the nth electrolytic cell set, PA n is the adjustment parameter of the nth electrolytic cell set, where n is a positive integer from 1 to N.

[0102] The decision module 30 is used to calculate the power usage parameter threshold value according to the second power usage parameter value within a preset time period, and then generate a first control instruction based on the power usage parameter threshold value for intelligently controlling the gold electrolysis process.

[0103] The control execution module 40 is used to execute a corresponding control operation according to the first control instruction.

[0104] According to another aspect of an embodiment of the present invention, there is provided a device comprising a memory for storing a computer program, and a processor for implementing any one of the above-mentioned digital-based intelligent control methods for gold electrolysis when executing the computer program.

[0105] According to another aspect of an embodiment of the present invention, a computer storage medium is provided, wherein the computer storage medium stores program instructions, wherein when the program instructions are executed, the device where the computer storage medium is located is controlled to execute any one of the above-mentioned digital-based intelligent control methods for gold electrolysis.

[0106] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, 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.

[0107] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The above-mentioned program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can 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. As an 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 (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0108] The above-mentioned embodiments only express the preferred implementation mode of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A digital-based intelligent control method for gold electrolysis, characterized in that: The steps include: Step 1, dividing a plurality of electrolytic cells connected in series into N electrolytic cell sets, and collecting a first power consumption parameter value of each electrolytic cell set according to a first preset time period, wherein N is a positive integer greater than or equal to 1, the number of electrolytic cells in each electrolytic cell set is greater than or equal to 1, and the electrolytic cells in each electrolytic cell set are connected in sequence; Step 2: Select the nth electrolytic cell set, search the parameter adjustment table based on the identifier of the data acquisition device of the nth electrolytic cell set, obtain the adjustment parameter corresponding to the data acquisition device, and calculate the second power consumption parameter value of the nth electrolytic cell set based on the adjustment parameter and the first power consumption parameter value of the nth electrolytic cell set. The calculation formula is: V2 n =V1 n ×(1-PA n ), Among them, V2 n is the second power consumption parameter value of the nth electrolytic cell set, V1 n is the first power consumption parameter value of the nth electrolytic cell set, PA n is the adjustment parameter of the nth electrolytic cell set, where n is a positive integer from 1 to N; Step 3, repeating step 2 to obtain the second power consumption parameter value corresponding to all electrolytic cell sets; Step 4: calculating an electricity parameter threshold value according to the second electricity parameter value within a preset time period, and then generating a first control instruction based on the electricity parameter threshold value for intelligently controlling the electrolysis process of gold; Step 5: Execute corresponding control operations according to the first control instruction.

2. The method according to claim 1, characterized in that In step 2, the method for generating the parameter adjustment table is: Step 21: Use all data acquisition devices to measure the power consumption parameters of the same circuit, and obtain the measurement value of each data acquisition device; Step 22: Calculate the average value of all measured values, and calculate the adjustment parameter of any data acquisition device based on the average value and the measured value of any data acquisition device. The calculation formula is: Among them, PA i is the adjustment parameter of the ith data acquisition device, m i is the measurement value of the i-th data acquisition device, ma is the average value, i is a positive integer from 1 to I, and I is the total number of data acquisition devices measuring the power parameters of the same circuit; Step 23: assign a unique identifier to any of the data acquisition devices, and store the identifier of any of the data acquisition devices and the adjustment parameters of any of the data acquisition devices in the parameter adjustment table in correspondence with each other.

3. The method according to claim 1, characterized in that The power usage parameter threshold includes a first power usage parameter threshold and a second power usage parameter threshold. In step 4, the power usage parameter threshold is calculated as follows: Step 411, determine whether N is equal to 1, if so, proceed to step 412, if not, proceed to step 413; Step 412: extract all second power usage parameter values ​​of the electrolytic cell set within the preset time period, and calculate the first power usage parameter threshold based on all the second power usage parameter values. The calculation formula is: Among them, TV1 is the first power parameter threshold, AV is the average value of all the second power parameter values, V2 max is the maximum value of all the second power consumption parameter values, V2 min is the minimum value of all the second power consumption parameter values; Step 413, select any electrolytic cell set, and extract the first power usage parameter array corresponding to any of the electrolytic cell sets within the preset time period, and select another electrolytic cell set different from any of the electrolytic cell sets, and extract the second power usage parameter array corresponding to the other electrolytic cell set within the preset time period, wherein the first power usage parameter array is a data set consisting of all second power usage parameter values ​​of any of the electrolytic cell sets within the preset time period, and the second power usage parameter array is a data set consisting of all second power usage parameter values ​​of the other electrolytic cell set within the preset time period; Step 414: Calculate the second power usage parameter threshold based on the first power usage parameter array and the second power usage parameter array. The calculation formula is: Among them, TV2 is the second power parameter threshold, AV1 is the average value of the first power parameter array, AV2 is the average value of the second power parameter array, VA1 max is the maximum value of the first power parameter array, VA1 min is the minimum value of the first power parameter array, VA2 max is the maximum value of the second power parameter array, VA2 min is the minimum value of the second power usage parameter array.

4. The method according to claim 3, characterized in that In step 4, generating a first control instruction based on the power usage parameter threshold includes: Step 421, determine whether N is equal to 1, if so, proceed to step 422, if not, proceed to step 423; Step 422: define the second power consumption parameter value obtained at the current collection time as a value to be evaluated, determine whether the value to be evaluated is greater than the first power consumption parameter threshold, and if so, define the electrolytic cell set as an abnormal electrolytic cell set, and generate the first control instruction based on the set identifier of the abnormal electrolytic cell set; Step 423: take the difference between the second power consumption parameter value of any one of the electrolytic cell sets at the current collection moment and the second power consumption parameter value of another one of the electrolytic cell sets as the value to be evaluated of any one of the electrolytic cell sets, and determine whether the value to be evaluated is greater than the second power consumption parameter threshold value; if so, define any one of the electrolytic cell sets as the abnormal electrolytic cell set, and generate the first control instruction based on the set identifier of the abnormal electrolytic cell set.

5. The method according to claim 4, characterized in that The first control instruction includes determining an abnormal electrolytic cell in the abnormal electrolytic cell set, powering off the abnormal electrolytic cell, and building a new working circuit for the remaining electrolytic cells.

6. The method according to claim 1, characterized in that A third power parameter value of the entire electrolytic cell circuit is collected according to a second preset time period, and when the third power parameter value is greater than or equal to a preset threshold, a second control instruction is generated, wherein the second control instruction includes recovering metal in the electrolytic cell.

7. The method according to claim 1, characterized in that In the step 1, after the first power usage parameter values ​​of all the electrolytic cell sets are collected, the first power usage parameter values ​​are preprocessed, and the preprocessing includes processing missing values ​​and / or abnormal values.

8. A digital-based intelligent control system for gold electrolysis, used to implement the method according to any one of claims 1 to 7, characterized in that: include: Data acquisition module, data adjustment module, decision module and control execution module; The data acquisition module is used to divide the multiple electrolytic cells connected in series into N electrolytic cell sets, and respectively collect the first power consumption parameter value of each electrolytic cell set according to a first preset time period, wherein N is a positive integer greater than or equal to 1, the number of electrolytic cells in each electrolytic cell set is greater than or equal to 1, and the electrolytic cells in each electrolytic cell set are connected in sequence; The data adjustment module is used to select the nth electrolytic cell set, search the parameter adjustment table based on the identifier of the data acquisition device of the nth electrolytic cell set, obtain the adjustment parameter corresponding to the data acquisition device, calculate the second power parameter value of the nth electrolytic cell set based on the adjustment parameter and the first power parameter value of the nth electrolytic cell set, and after traversing all electrolytic cell sets, obtain the second power parameter values ​​corresponding to all electrolytic cell sets, and the calculation formula of the second power parameter value is: V2 n =V1 n ×(1-PA n ), Among them, V2 n is the second power consumption parameter value of the nth electrolytic cell set, V1 n is the first power consumption parameter value of the nth electrolytic cell set, PA n is the adjustment parameter of the nth electrolytic cell set, where n is a positive integer from 1 to N; The decision module is used to calculate the power parameter threshold value according to the second power parameter value within a preset time period, and then generate a first control instruction based on the power parameter threshold value, so as to intelligently control the electrolysis process of gold; The control execution module is used to execute the corresponding control operation according to the first control instruction.

9. A device, characterized in that: include: Memory for storing computer programs; A processor, configured to implement the method according to any one of claims 1 to 7 when executing the computer program.

10. A computer storage medium, characterized in that: The computer storage medium stores program instructions, wherein when the program instructions are executed, the device where the computer storage medium is located is controlled to execute the method according to any one of claims 1 to 7.

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