Method and system for managing separation and recovery data of platinum element in platinum-containing ceramic powder

Abstract

The invention provides a platinum element separation and recovery data management method and system in platinum-containing ceramic powder, and belongs to the technical field of prediction processing, and the method specifically comprises the steps: taking the monitoring data of the production equipment of the current production batch as the basis, determining the deviation conditions of the monitoring data of the production equipment in different recovery time periods and a target data range, determining a process deviation time period in the recovery time period based on the deviation condition, obtaining distribution data of the process deviation time period of the current production batch, and determining the recovery time period of the current production batch according to the superposition condition of moments when the monitoring data of different production devices are not in the target data range when the operation stability of the production process meets the requirement according to the distribution data. The updating processing strategy of the platinum element separation and recovery data in the future production batch is determined, and the requirement for the storage space of the server is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of data management, and particularly relates to a data management method and system for separating and recovering platinum elements in platinum-containing ceramic powder. Background Art

[0002] Platinum-containing ceramic powder is a precious metal recovery intermediate prepared from the ceramic honeycomb in waste automobile exhaust purifiers through disassembly, crushing, and grinding. It is mainly used for extracting platinum group metals. When carrying out recovery treatment, it is often necessary to manage the recovery data to provide data support for process optimization.

[0003] However, after adjusting the production process using the recovery data, there are deviations in the operating stability of different production equipment during the production process. Therefore, how to determine the updated management of platinum element separation and recovery data after adjusting the production process according to the deviation situation of the operating stability of the production equipment, while reducing the storage space requirements, so as to reliably and effectively adjust the production process has become an urgent technical problem to be solved.

[0004] To solve the above technical problems, the present application provides a data management method and system for separating and recovering platinum elements in platinum-containing ceramic powder. Summary of the Invention

[0005] To achieve the object of the present invention, the present invention adopts the following technical solutions: Specifically, the present application provides a data management method for separating and recovering platinum elements in platinum-containing ceramic powder, which specifically includes: S1 Determine the adjustment data of the production process for separating and recovering platinum elements in platinum-containing ceramic powder. When it is determined that the adjustment range of the production process meets the requirements based on the adjustment data, proceed to the next step; S2 Based on the monitoring data of the production equipment in the current production batch, determine the deviation situation between the monitoring data of the production equipment in different recovery periods and the target data range, and determine the process deviation periods in the recovery periods based on the deviation situation; S3 Obtain the distribution data of the process deviation periods in the current production batch. When it is determined that the operating stability of the production process meets the requirements based on the distribution data, proceed to the next step; S4 Determine the update processing strategy for the platinum element separation and recovery data in future production batches based on the coincidence situation of the moments when the monitoring data of different production equipment is not within the target data range.

[0006] The beneficial effects of the present invention are as follows: Determine whether the operating stability of the production process meets the requirements based on the distribution data of the process deviation periods, thereby realizing the evaluation of the operating stability degree of the production process from the perspective of the number of process deviation periods, and also laying a foundation for determining a differential update processing strategy for platinum element separation and recovery data due to the differences in the operating stability degree of the production process. On the basis of reducing the waste of storage space, it also lays a foundation for providing data support for further optimizing the production process.

[0007] Determine the update processing strategy for platinum element separation and recovery data in future production batches based on the coincidence of the monitoring data of different production equipment not within the target data range. Fully consider the differences in the operating stability degree of the production process at different times caused by the differences in the coincidence, and ensure the reliability of data update management when the operating stability degree of the production process is relatively poor.

[0008] A further technical solution is that the adjustment data of the production process includes the adjustment amount of the target data range of different production equipment and the number of production equipment with adjustments.

[0009] A further technical solution is that determining that the adjustment range of the production process meets the requirements specifically includes: Based on the adjustment data, determine the production equipment with adjustments in the production process and use it as the adjusted production equipment; According to the number of the adjusted production equipment, determine whether the adjustment range of the production process meets the requirements.

[0010] A further technical solution is that when the number of the adjusted production equipment is greater than the preset production equipment number threshold, it is determined that the adjustment range of the production process does not meet the requirements.

[0011] A further technical solution is that when the adjustment range of the production process does not meet the requirements, there is no need to update the stored data of platinum element separation and recovery data for future production batches.

[0012] A further technical solution is that the method for determining the update processing strategy of the platinum element separation and recovery data is: Take the moments when the monitoring data of different production equipment are not within the target data range as the monitoring deviation moments of different production equipment; According to the coincidence data of the monitoring deviation moments of different production equipment, determine the number of production equipment with monitoring data not within the target data range among different monitoring deviation moments, and take the monitoring deviation moments with the number of production equipment with monitoring data not within the target data range not meeting the requirements as abnormal deviation moments; Determine the recovery rate influence value based on the proportion of the number of abnormal deviation moments in the current production batch, and determine the update processing strategy for the platinum element separation and recovery data based on the recovery rate influence value.

[0013] A further technical solution lies in that the abnormal deviation moment is a monitoring deviation moment when the number of production devices whose monitoring data is not within the target data range is greater than the preset device number threshold.

[0014] A further technical solution lies in that determining the update processing strategy for the platinum element separation and recovery data based on the recovery rate influence value specifically includes: When the recovery rate influence value is greater than the preset recovery rate influence threshold, use the first preset condition to determine the update processing strategy for the stored data of the platinum element separation and recovery data of future production batches; When the recovery rate influence value is not greater than the preset recovery rate influence threshold, use the second preset condition to determine the update processing strategy for the stored data of the platinum element separation and recovery data of future production batches.

[0015] A further technical solution lies in that the first preset condition is to use the production batch without process deviation period as the target batch, and update the stored data of the platinum element separation and recovery data according to the preset deviation amount threshold corresponding to the first preset condition.

[0016] A further technical solution lies in that the second preset condition is to use all production batches as the target batch, and update the stored data of the platinum element separation and recovery data according to the preset deviation amount threshold corresponding to the second preset condition.

[0017] A further technical solution lies in that the preset deviation amount threshold corresponding to the first preset condition is greater than the preset deviation amount threshold corresponding to the second preset condition.

[0018] A further technical solution lies in that performing the update processing of the stored data of the platinum element separation and recovery data specifically includes: When there are other historical production batches in the database of the platinum element separation and recovery data whose deviation amounts from the platinum element separation and recovery data of the target batch at different times are all less than the preset deviation amount threshold, delete the stored data of the platinum element separation and recovery data of the target batch, where the preset deviation amount threshold is different in the first preset condition and the second preset condition.

[0019] In a second aspect, the present invention provides a computer system, including: a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor, and when the processor runs the computer program, it executes the above-mentioned method for managing platinum element separation and recovery data in platinum-containing ceramic powder.

[0020] Other features and advantages will be described in the following specification. The objectives and other advantages of the present invention are achieved and obtained by the structures specifically pointed out in the specification and the accompanying drawings.

[0021] To make the above objectives, features, and advantages of the present invention more obvious and understandable, the following provides preferred embodiments in conjunction with the accompanying drawings and describes them in detail as follows. Description of the Drawings

[0022] By referring to the accompanying drawings and describing its exemplary embodiments in detail, the above and other features and advantages of the present invention will become more obvious;

[0023] Figure 1 is a flowchart of a method for managing data on the separation and recovery of platinum elements in platinum-containing ceramic powder; Figure 2 is a flowchart for determining that the adjustment range of the production process meets the requirements; Figure 3 is a flowchart of a method for determining the process deviation period in the recovery period; Figure 4 is a flowchart of a method for determining the update processing strategy of platinum element separation and recovery data; Figure 5 is a framework diagram of a computer system. Detailed Embodiments

[0024] To enable those skilled in the art to better understand the technical solutions in this specification, the following will clearly and completely describe the technical solutions in the embodiments of this specification in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of this specification, rather than all the embodiments. Based on the embodiments of this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of this specification.

[0025] According to the adjustment range of the parameters of the production process, the difference in the operating stability caused by the deviation between the monitored data of the adjusted production equipment and the target data range is used to perform an update processing strategy for the data on the separation and recovery of platinum elements in future production batches, thereby reducing the storage space requirements and ensuring the reliability of data storage under the condition of poor operating stability of the production process.

[0026] When the number of production equipment with adjustments in the production process is more than 4, it is determined that the adjustment range of the production process does not meet the requirements.

[0027] The process deviation period is the period when the proportion of the number of moments when the monitored data is not within the target data range is greater than 0.5.

[0028] When the proportion of the process deviation time periods in the current production batch is greater than 0.6, it is determined that the operating stability of the production process does not meet the requirements; The moment of the production equipment with multiple monitoring data not within the target data range is taken as the coincidence abnormal moment. When the proportion of the coincidence abnormal moments in the current production batch is greater than 0.2, the update processing strategy of the stored data of the platinum element separation and recovery data for the future production batch is determined using the first preset condition. When the proportion of the coincidence abnormal moments in the current production batch is not greater than 0.2, the update processing strategy of the stored data of the platinum element separation and recovery data for the future production batch is determined using the second preset condition.

[0029] Embodiment 1 As Figure 1 shown, the present application provides a method for managing the separation and recovery data of platinum elements in platinum-containing ceramic powder, specifically including: S1 Determine the adjustment data of the production process for the separation and recovery data of platinum elements in the platinum-containing ceramic powder. When it is determined that the adjustment range of the production process meets the requirements based on the adjustment data, proceed to the next step; Furthermore, the adjustment data of the production process includes the adjustment amount of the target data range of different production equipment and the number of production equipment with adjustments.

[0030] Specifically, as Figure 2 shown, determining that the adjustment range of the production process meets the requirements specifically includes: Based on the adjustment data, determine the production equipment with adjustments in the production process and use it as the adjusted production equipment; According to the number of the adjusted production equipment, determine whether the adjustment range of the production process meets the requirements.

[0031] Furthermore, when the number of the adjusted production equipment is greater than the preset production equipment number threshold, it is determined that the adjustment range of the production process does not meet the requirements.

[0032] It can be understood that when the adjustment range of the production process does not meet the requirements, there is no need to update the stored data of the platinum element separation and recovery data for the future production batch.

[0033] In another embodiment, determining that the adjustment range of the production process meets the requirements specifically includes: Based on the adjustment data, determine the production equipment existing in the production process and use it as the adjusted production equipment; According to the adjustment amount of the target data range of different adjusted production equipment, perform the adjusted production equipment with an adjustment amount greater than the preset adjustment amount threshold and use it as the target adjusted equipment; Adjust the number of devices according to the target, and determine whether the adjustment range of the production process meets the requirements.

[0034] Furthermore, when the number of target-adjusted devices is greater than the preset threshold of the number of adjusted devices, it is determined that the adjustment range of the production process does not meet the requirements.

[0035] Furthermore, the process steps include dissolution and filtration, purification, reduction, electrolytic smelting, and melting.

[0036] S2 Based on the monitoring data of the production equipment in the current production batch, determine the deviation between the monitoring data of the production equipment in different recovery periods and the target data range, and determine the process deviation period in the recovery period based on the deviation situation. It can be understood that the platinum element separation and recovery data includes the production monitoring data of different production equipment.

[0037] It should be noted that as Figure 3 shown, the method for determining the process deviation period in the recovery period is as follows: Based on the deviation between the monitoring data of the production equipment in the recovery period and the target data range, determine the production equipment whose monitoring data is not within the target data range at different times, and use it as the deviation production equipment. According to the number of deviation production equipment at different times, determine the deviation time at that time. Based on the proportion of the number of deviation times, determine whether the recovery period is a process deviation period.

[0038] Table 1 shows the monitoring data of a certain process deviation period during operation

[0039] Target parameter range: Dissolution temperature: 75 - 85°C (red over-limit area: <70°C or >90°C).

[0040] Acid concentration (HCl:HNO3): 30 - 35%.

[0041] Electrolytic current density: 150 - 170 A / m².

[0042] Platinum concentration detection value: 4.0 - 4.5 g / L.

[0043] Filtration flow rate: 8 - 10 L / min.

[0044] System pressure: 0.5 ± 0.05 MPa.

[0045] Further, when the proportion of the number of the deviation moments is greater than a preset proportion threshold of the number of deviation moments, it is determined that the recovery period is a process deviation period.

[0046] It can be understood that the deviation moment is the moment when the number of deviation production devices is greater than a preset deviation device number threshold.

[0047] In another possible embodiment, the method for determining the process deviation period in the recovery period is as follows: Based on the deviation between the monitoring data of the production devices in the recovery period and the target data range, determine the production devices whose monitoring data is not within the target data range at different moments, and use them as deviation production devices; Take the moment when the monitoring data of the deviation production device is not within the target data range as the monitoring deviation moment; According to the sum of the numbers of the monitoring deviation moments of different deviation production devices, determine whether the recovery period is a process deviation period.

[0048] Further, when the sum of the numbers of the monitoring deviation moments of different deviation production devices is greater than a preset value of the number of deviation moments, it is determined that the recovery period is a process deviation period.

[0049] In another possible embodiment, the method for determining the process deviation period in the recovery period is as follows: S21 Based on the deviation between the monitoring data of the production devices in the recovery period and the target data range, determine the production devices whose monitoring data is not within the target data range at different moments, and use them as deviation production devices, and determine the process data deviation coefficient at different moments according to the number of deviation production devices at different moments; S22 Take the moment when the monitoring data of the deviation production device is not within the target data range as the monitoring deviation moment, and determine the device deviation coefficient of different deviation production devices according to the number of the monitoring deviation moments and the deviation amount between the monitoring data and the adjacent end point of the target data range at different monitoring deviation moments; S23 Based on the device deviation coefficients of different deviation production devices and the process data deviation coefficients at different moments, determine the data deviation coefficient of the recovery period, and determine whether the recovery period is a process deviation period based on the data deviation coefficient.

[0050] S3 Obtain the distribution data of the process deviation periods of the current production batch, and when it is determined that the operation stability of the production process meets the requirements based on the distribution data, proceed to the next step; Further, determining that the operation stability of the production process meets the requirements specifically includes: When the proportion of the number of process deviation periods in the current production batch is less than the preset proportion of the number of deviation periods, it is determined that the operation stability of the production process meets the requirements.

[0051] Specifically, when the operation stability of the production process does not meet the requirements, the update processing strategy of the stored data of the platinum element separation and recovery data for future production batches is determined using the first preset condition.

[0052] S4 determines the update processing strategy of the platinum element separation and recovery data for future production batches based on the coincidence of the monitoring data of different production equipment not within the target data range.

[0053] Specifically, as Figure 4 shown, the method for determining the update processing strategy of the platinum element separation and recovery data is as follows: S41 takes the moments when the monitoring data of different production equipment are not within the target data range as the monitoring deviation moments of different production equipment; S42 determines the number of production equipment with monitoring data not within the target data range among different monitoring deviation moments based on the coincidence data of the monitoring deviation moments of different production equipment, and takes the monitoring deviation moments where the number of production equipment with monitoring data not within the target data range does not meet the requirements as abnormal deviation moments; S43 determines the recovery rate influence value based on the proportion of the number of abnormal deviation moments in the current production batch, and determines the update processing strategy of the platinum element separation and recovery data based on the recovery rate influence value.

[0054] Further, the abnormal deviation moment is the monitoring deviation moment when the number of production equipment with monitoring data not within the target data range is greater than the preset equipment number threshold.

[0055] Optionally, before entering step S43, it is also necessary to determine whether there are abnormal deviation moments based on the number of production equipment with monitoring data not within the target data range among different monitoring deviation moments. When there are no abnormal deviation moments, the update processing strategy of the stored data of the platinum element separation and recovery data for future production batches is determined using the second preset condition. When there are abnormal deviation moments, it proceeds to step S43.

[0056] Specifically, determining the update processing strategy of the platinum element separation and recovery data based on the recovery rate influence value specifically includes: When the recovery rate influence value is greater than the preset recovery rate influence threshold, the update processing strategy of the stored data of the platinum element separation and recovery data for future production batches is determined using the first preset condition; When the recovery rate impact value is not greater than the preset recovery rate impact threshold, the update processing strategy of the stored data of the platinum element separation and recovery data for future production batches is determined using the second preset condition.

[0057] It should be noted that the first preset condition is to use the production batches during the period without process deviation as the target batches, and update the stored data of the platinum element separation and recovery data according to the preset deviation amount threshold corresponding to the first preset condition.

[0058] Furthermore, the second preset condition is to use all production batches as the target batches, and update the stored data of the platinum element separation and recovery data according to the preset deviation amount threshold corresponding to the second preset condition.

[0059] It can be understood that the preset deviation amount threshold corresponding to the first preset condition is greater than the preset deviation amount threshold corresponding to the second preset condition.

[0060] Specifically, the update processing of the stored data of the platinum element separation and recovery data specifically includes: When there are other historical production batches in the database of the platinum element separation and recovery data whose deviation amounts from the platinum element separation and recovery data of the target batch at different times are all less than the preset deviation amount threshold, the stored data of the platinum element separation and recovery data of the target batch is deleted, where the preset deviation amount threshold is different in the first preset condition and the second preset condition.

[0061] In another possible embodiment, before entering step S42, it is also necessary to determine whether there are production devices with the number of monitoring deviation times not meeting the requirements. When there are production devices with the number of monitoring deviation times not meeting the requirements, the update processing strategy of the stored data of the platinum element separation and recovery data for future production batches is determined using the first preset condition.

[0062] In another possible embodiment, even when there are no production devices with the number of monitoring deviation times not meeting the requirements: it is also necessary to determine whether the sum of the number of monitoring deviation times of different production devices is within the preset deviation time interval. If so, the update processing strategy of the stored data of the platinum element separation and recovery data for future production batches is determined using the second preset condition. If not, then enter step S42 to determine the abnormal deviation times.

[0063] Embodiment 2 Second aspect, as Figure 5As shown in the figure, the present invention provides a computer system, including: a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor. When the processor runs the computer program, it executes the above-mentioned data management method for separating and recovering platinum elements in platinum-containing ceramic powder.

[0064] In another possible embodiment, the above step S21 includes the following content: S211 determines the production equipment whose monitoring data is not within the target data range at different times based on the deviation between the monitoring data of the production equipment in the recovery period and the target data range, and takes it as the deviation production equipment. When the number of the deviation production equipment does not meet the requirements, it is determined that the recovery period is a process deviation period. When the number of the deviation production equipment meets the requirements, it proceeds to step S212; Exemplarily, when the number of deviation production equipment is large, it can be directly determined as a process deviation period without considering other data. For the period with a large number of deviation production equipment, since there is a large deviation from the normal operating conditions, its data reference value is significantly higher.

[0065] Specifically, to determine whether the number of deviation production equipment meets the requirements, it can be determined by using the proportion of the number of deviation production equipment in the production equipment. When the proportion of the number of deviation production equipment in the production equipment is greater than a fixed threshold, it can be directly determined that the number of deviation production equipment does not meet the requirements.

[0066] S212 determines the moments when there are deviation production equipment based on the number of deviation production equipment at different times. When the number of moments when there are deviation production equipment meets the requirements, it proceeds to step S213. When the number of moments when there are deviation production equipment does not meet the requirements, it is determined that the recovery period is a process deviation period; Specifically, when the number of moments when there are deviation production equipment is small and the number of deviation production equipment within the period is also small, it can directly proceed to step S213. When the number of moments when there are deviation production equipment is large, for example, greater than a preset proportion or a preset number, it indicates that there is a large deviation between the process in the recovery period and the normal production process. Therefore, it can be directly determined that it belongs to the process deviation period.

[0067] It can be understood that when the number of moments when there are deviation production equipment is large, at this time, other factors do not need to be considered, which can further improve the extraction and processing efficiency of the process deviation period.

[0068] S213 determines that when there is no deviation moment at the moment based on the number of deviation production equipment at different times, it proceeds to step S215. When there is a deviation moment at the moment, it proceeds to step S214; It should be noted that the deviation moment is the moment when the number of deviation production devices is relatively large. Specifically, the deviation moment can be screened according to a fixed threshold.

[0069] When there is a deviation moment, it indicates that there is a moment with a relatively high severity of process deviation at this time. Therefore, it can be directly transferred to step S214 for joint judgment. When the number of moments with a relatively high severity of process deviation is greater than a certain moment quantity threshold, there is no need to judge other data, and the screening of the process deviation period can be conveniently and quickly realized.

[0070] S214 When the number of deviation moments in the recovery period does not meet the requirements, it is determined that the recovery period is a process deviation period. When the number of deviation moments in the recovery period meets the requirements, it is transferred to step S215; This step needs to be used in combination with step S213. When there is no deviation moment, there is no need to enter this step.

[0071] S215 Based on the number of deviation production devices at different moments, the process data deviation coefficients at different moments are determined. When the sum of the process data deviation coefficients at different moments is greater than the preset process data deviation coefficient threshold, it is determined that the recovery period is a process deviation period. When the sum of the process data deviation coefficients at different moments is not greater than the preset process data deviation coefficient threshold, it is transferred to step S22.

[0072] Embodiment 3 Optionally, the above step S22 includes the following content: S221 The moment when the monitoring data of the deviation production device is not within the target data range is used as the monitoring deviation moment. When there is a deviation production device with the number of monitoring deviation moments not meeting the requirements, it is determined that the recovery period is a process deviation period. When there is no deviation production device with the number of monitoring deviation moments not meeting the requirements, it is transferred to step S222; Exemplarily, for a deviation production device with a relatively large number of monitoring deviation moments, it can be directly determined without doubt that there is a deviation production device with poor operating stability in the recovery period. Therefore, the screening of the process deviation period can be realized by screening the deviation production devices with poor operating stability.

[0073] Specifically, to judge a deviation production device with the number of monitoring deviation moments not meeting the requirements, it can be determined by using the number of monitoring deviation moments of different deviation production devices. Specifically, when the number of its monitoring deviation moments is greater than a certain threshold, those skilled in the art can determine that it belongs to a deviation production device with the number of monitoring deviation moments not meeting the requirements.

[0074] By screening the process deviation time period from the perspective of the deviation production equipment, the technical problem of poor accuracy in judgment and processing caused by solely considering the data deviation at different times is avoided, thereby further improving the efficiency and reliability of the screening process of the process deviation time period.

[0075] S222 Determine the equipment deviation coefficients of different deviation production equipment based on the number of the monitored deviation times and the deviation amounts of the monitored data from the adjacent endpoints of the target data range in different monitored deviation times. When the equipment deviation coefficients of different deviation production equipment are all less than the preset equipment deviation coefficient threshold, then proceed to step S223. When there is a deviation production equipment with an equipment deviation coefficient not less than the preset equipment deviation coefficient threshold, then proceed to step S224; It can be understood that when the equipment deviation coefficients of different deviation production equipment are all less than the preset equipment deviation coefficient threshold, it indicates that the operating stability degrees of different deviation production equipment all meet the requirements. Therefore, from the perspective of the deviation production equipment at this time, the operating stability degree of the process during this recovery period can meet the requirements.

[0076] In this scenario, it is necessary to proceed to step S223 for further judgment. On the contrary, when there is a deviation production equipment with an equipment deviation coefficient not less than the preset equipment deviation coefficient threshold, there is still a deviation production equipment with abnormal operating stability at this time. Therefore, it is not necessary to proceed to step S223. Even if the process data deviation at different times is small, it cannot be determined that it does not belong to the process deviation time period.

[0077] S223 When the sum of the process data deviation coefficients at different times is within the preset process data deviation coefficient interval, then determine that the recovery period does not belong to the process deviation time period. When the sum of the process data deviation coefficients at different times is not within the preset process data deviation coefficient interval, proceed to step S23; Exemplarily, when the sum of the process data deviation coefficients at different times is within the preset process data deviation coefficient interval, that is, the process data deviation at different times is relatively low, indicating that the process data deviation at different times can also meet the requirements.

[0078] On the basis that the process data deviation at different times meets the requirements and at the same time the operating stability degrees of different deviation production equipment all meet the requirements, it can be determined from multiple perspectives that the process stability degree during the recovery period is relatively high. Therefore, it is directly determined that the recovery period does not belong to the process deviation time period.

[0079] S224 When the number of deviation production devices with a device deviation coefficient not less than the preset device deviation coefficient threshold is greater than the preset screening device quantity threshold, it is determined that the recovery period belongs to the process deviation period. When the number of deviation production devices with a device deviation coefficient not less than the preset device deviation coefficient threshold is not greater than the preset screening device quantity threshold, proceed to step S23.

[0080] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0081] The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be executed in a different order than in the embodiments and still achieve the desired result. Additionally, the processes depicted in the figures do not necessarily require the specific order or sequential order shown to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0082] The above is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification can have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. A data management method for separating and recovering platinum elements in platinum-containing ceramic powder, characterized in that, Specifically, it includes: Determine the adjustment data of the production process for the separation and recovery data of platinum elements in platinum-containing ceramic powder. When it is determined that the adjustment range of the production process meets the requirements based on the adjustment data, proceed to the next step; Based on the monitoring data of the production equipment in the current production batch, determine the deviation of the monitoring data of the production equipment in different recovery periods from the target data range, and determine the process deviation period in the recovery period based on the deviation; Obtain the distribution data of the process deviation period in the current production batch. When it is determined that the operation stability of the production process meets the requirements based on the distribution data, proceed to the next step; Based on the coincidence of the moments when the monitoring data of different production equipment are not within the target data range, determine the update processing strategy for the separation and recovery data of platinum elements in future production batches.

2. The method for managing data on the separation and recovery of platinum elements in platinum-containing ceramic powder according to claim 1, wherein, The adjustment data of the production process includes the adjustment amount of the target data range of different production equipment and the number of production equipment with adjustments.

3. The data management method for separating and recovering platinum elements in platinum-containing ceramic powder according to claim 1, characterized in that, Determining that the adjustment range of the production process meets the requirements specifically includes: Based on the adjustment data, determine the production equipment with adjustments in the production process and use it as the adjusted production equipment; According to the number of the adjusted production equipment, determine whether the adjustment range of the production process meets the requirements.

4. The method for managing the separation and recovery data of platinum elements in platinum-containing ceramic powder according to claim 3, wherein, When the adjustment range of the production process does not meet the requirements, there is no need to update the stored data of the separation and recovery data of platinum elements in future production batches.

5. The method for managing data on the separation and recovery of platinum elements in platinum-containing ceramic powder according to claim 1, wherein Determining that the operation stability of the production process meets the requirements specifically includes: When the proportion of the number of process deviation periods in the current production batch is less than the preset proportion of the number of deviation periods, it is determined that the operation stability of the production process meets the requirements.

6. The method for managing data on the separation and recovery of platinum elements in platinum-containing ceramic powder according to claim 5, characterized in that, When the operation stability of the production process does not meet the requirements, use the first preset condition to determine the update processing strategy for the stored data of the separation and recovery data of platinum elements in future production batches.

7. The method for managing the separation and recovery data of platinum element in the platinum-containing ceramic powder according to claim 1, wherein, The method for determining the update processing strategy of the separation and recovery data of platinum elements is: Take the moments when the monitoring data of different production equipment are not within the target data range as the monitoring deviation moments of different production equipment; According to the coincidence data of the monitoring deviation moments of different production equipment, determine the number of production equipment with monitoring data not within the target data range among different monitoring deviation moments, and take the monitoring deviation moments where the number of production equipment with monitoring data not within the target data range does not meet the requirements as abnormal deviation moments; Based on the proportion of the number of abnormal deviation moments in the current production batch, determine the recovery rate influence value, and determine the update processing strategy for the separation and recovery data of platinum elements based on the recovery rate influence value.

8. The method for managing data on the separation and recovery of platinum elements in platinum-containing ceramic powder according to claim 7, wherein, The abnormal deviation moment is the monitoring deviation moment when the number of production equipment with monitoring data not within the target data range is greater than the preset equipment number threshold.

9. The method for managing the separation and recovery data of platinum element in the platinum-containing ceramic powder according to claim 7, characterized in that, Determining the update processing strategy for the separation and recovery data of platinum elements based on the recovery rate influence value specifically includes: When the recovery rate influence value is greater than the preset recovery rate influence threshold, use the first preset condition to determine the update processing strategy for the stored data of the separation and recovery data of platinum elements in future production batches; When the recovery rate influence value is not greater than a preset recovery rate influence threshold, a second preset condition is used to determine an update processing strategy for stored data of platinum element separation and recovery data of future production batches.

10. A computer system, comprising: A memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor, wherein when the processor runs the computer program, it executes a method for managing platinum element separation and recovery data in a platinum-containing ceramic powder according to any one of claims 1-9.

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