A production management method and system of thermal insulation materials considering application scene requirements

Abstract

This invention provides a production management method and system for thermal insulation materials that considers application scenario requirements, belonging to the field of production management technology. Specifically, it includes: adjusting the equipment parameters of production equipment in a matched production scenario based on the adjustment processing sequence to obtain production results, until the material index parameters of the production results in different matched production scenarios are determined to be unsatisfactory using adjustment processing data of equipment parameters in different matched production scenarios; based on the material index parameters of the production results in the matched production scenarios, and according to the control range of equipment parameters in the production scenarios corresponding to different application scenarios and the change data of the matched production scenarios, determining the production scenario for adjusting equipment parameters, thereby improving the production quality of thermal insulation materials.

Description

Technical Field

[0001] This invention belongs to the field of production management technology, and in particular relates to a production management method and system for thermal insulation materials that takes into account the needs of application scenarios. Background Technology

[0002] Corrosion often occurs in the insulation materials of heating networks and chemical plant pipelines, and the insulation effect deteriorates over time. Therefore, improving the corrosion resistance of insulation materials has become an urgent technical problem to be solved.

[0003] Existing technical solutions often improve the corrosion resistance of thermal insulation materials by optimizing the materials. In addition, optimizing the production parameters of the board can also improve the corrosion resistance of the material. Specifically, a similar technical solution is given in the invention patent application CN202311142398.8 "Production Management System for Thermal Insulation Boards Based on Dynamic Control".

[0004] In the production management of thermal insulation materials, the existing technical solutions neglect the application scenario requirements of the thermal insulation materials. Specifically, as the application scenario changes, the causes of corrosion also change. Therefore, if the application scenario requirements of the thermal insulation materials and the ease of replacement are not considered in the production management of the thermal insulation materials, the resulting thermal insulation materials will be difficult to match the user's needs.

[0005] To address the aforementioned technical problems, this application provides a production management method and system for thermal insulation materials that takes into account the needs of application scenarios. Summary of the Invention

[0006] To achieve the objectives of this invention, the following technical solution is adopted:

[0007] Specifically, this application provides a production management method for thermal insulation materials that takes into account the needs of application scenarios, including:

[0008] S1 uses data on the replacement and corrosion of insulation materials in the application scenario as a basis to determine the index optimization scenarios in the application scenario.

[0009] S2 determines the matching and adjustment production scenarios and the adjustment processing sequence in other application scenarios based on the indicator control range in other application scenarios. Based on the adjustment processing sequence, the equipment parameters of the production equipment are adjusted in the matching and adjustment production scenario to obtain the production result, until the material indicator parameters of the production result in the matching and adjustment production scenario are determined to be unsatisfactory using the adjustment processing data of the equipment parameters in different matching and adjustment production scenarios.

[0010] S3 uses the material index parameters of the production results in the matching and adjusting production scenario as a basis, and determines the production scenario for which the equipment parameters need to be adjusted based on the control range of the equipment parameters in the production scenario corresponding to different application scenarios and the change data of the matching and adjusting production scenario.

[0011] The beneficial effects of this invention are as follows:

[0012] Based on adjusting the processing order, the production equipment parameters are adjusted in the matching and adjusting production scenario to obtain the production result. This enables the determination of whether the target control range of the production equipment determined by simulation or experiment can meet the actual production requirements in the real production scenario. This ensures the reliability of the determination of the control range of the equipment parameters in the index optimization scenario with high material index parameter requirements, while also reducing the impact on the normal production of other production scenarios.

[0013] Based on the control range of equipment parameters in production scenarios corresponding to different application scenarios and the changing data of matching and adjusting production scenarios, the production scenarios for which equipment parameter adjustment processing is required are determined. This avoids the technical problem of low processing efficiency in determining the target control range of production equipment caused by simply using matching and adjusting production scenarios. By combining the changing data of the control range of equipment parameters in matching and adjusting production scenarios, the production scenarios for adjusting equipment parameters from the perspective of changes in the control range of equipment parameters are determined. At the same time, considering material index parameters, the number of production scenarios for adjusting equipment parameters based on the degree of deviation of the adjustment results is also adjusted, further improving the processing efficiency of determining the control range of equipment parameters in index optimization scenarios with high requirements for material index parameters.

[0014] Furthermore, the replacement processing data includes the difficulty of replacing the insulation material in the application scenario, which is specifically determined based on the amount of work. In one possible embodiment, the application scenario with a large amount of work is used as the indicator to optimize the corresponding application scenario, specifically including building exterior walls, high-temperature flues, and underground heating pipes.

[0015] Furthermore, the corrosion data includes the corrosion status of the insulation material in the application scenario, specifically determined based on the surface powdering area and the length of the through cracks of the insulation material in the application scenario.

[0016] Furthermore, the method for determining the indicator optimization scenario in the application scenario is as follows:

[0017] The analysis scenario in the application scenario is determined using the updated processing data;

[0018] Based on the corrosion data in the analysis scenario, determine the average duration during which the corrosion condition in the analysis scenario does not meet the requirements;

[0019] The average duration is used to determine whether the application scenario is a metric optimization scenario.

[0020] Furthermore, the method for determining the production scenario in which equipment parameters are adjusted is as follows:

[0021] Based on the material index parameters of the production results in the matching and adjusting production scenario, determine the material index parameters of the production results in the number of adjustment processes of the equipment parameters in the matching and adjusting production scenario;

[0022] Based on the control range of equipment parameters in the production scenario corresponding to the application scenario, determine the production equipment whose control range of equipment parameters in the production scenario falls within the target control range, and regard them as overlapping production equipment;

[0023] Based on the change data of overlapping production equipment in the production scenario and the material index parameters of the production results in the number of equipment parameter adjustment processes in the matching and adjusting production scenario, the production scenario for which equipment parameter adjustment processing is performed is determined.

[0024] Secondly, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described method for production management of thermal insulation materials considering application scenario requirements when running the computer program.

[0025] Other features and advantages will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0026] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0027] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0028] Figure 1 This is a flowchart of a production management method for thermal insulation materials that takes into account the needs of application scenarios;

[0029] Figure 2 This is a flowchart illustrating the method for determining the optimization scenarios for indicators in application scenarios;

[0030] Figure 3 This is a flowchart illustrating the methods for determining the matching and adjustment of production scenarios in other application scenarios;

[0031] Figure 4 This is a flowchart illustrating the method for determining the production scenario in which equipment parameters are adjusted. Detailed Implementation

[0032] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that the invention will be thorough and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and therefore their detailed description will be omitted.

[0033] The terms “a,” “one,” “the,” and “the” are used to indicate the existence of one or more elements / components / etc.; the terms “include” and “have” are used to indicate an open-ended meaning of inclusion and that there may be other elements / components / etc. in addition to the listed elements / components / etc.

[0034] In this application, by adjusting the equipment parameters in the production scenarios corresponding to application scenarios with a relatively wide range of acceptable control of index parameters, that is, in the process of generating thermal insulation materials for the application scenarios, it is possible to determine whether the target control range of equipment parameters in application scenarios with high corrosion risk obtained through simulation or experiment is usable. This improves the reliability of the determination of the target control range of equipment parameters in application scenarios with high corrosion risk and the degree of matching with the actual situation.

[0035] Example 1

[0036] To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, a production management method for thermal insulation materials that considers application scenario requirements is provided, specifically including:

[0037] S1 uses data on the replacement and corrosion of insulation materials in the application scenario as a basis to determine the index optimization scenarios in the application scenario.

[0038] Furthermore, the replacement processing data includes the difficulty of replacing the insulation material in the application scenario, which is specifically determined based on the amount of work. In one possible embodiment, the application scenario with a large amount of work is used as the indicator to optimize the corresponding application scenario, specifically including building exterior walls, high-temperature flues, and underground heating pipes.

[0039] Furthermore, the corrosion data includes the corrosion status of the insulation material in the application scenario, specifically determined based on the surface powdering area and the length of the through cracks of the insulation material in the application scenario.

[0040] Specifically, such as Figure 2 As shown, the method for determining the indicator optimization scenario in the application scenario is as follows:

[0041] The analysis scenario in the application scenario is determined using the updated processing data;

[0042] Based on the corrosion data in the analysis scenario, determine the average duration during which the corrosion condition in the analysis scenario does not meet the requirements;

[0043] The average duration is used to determine whether the application scenario is a metric optimization scenario.

[0044] It should be noted that when the surface powdering area is greater than 15% or a through crack (width > 2mm) appears, the corrosion situation in the analysis scenario is determined to be unsatisfactory.

[0045] It is understood that when the average duration does not meet the requirements, the application scenario is determined to be an indicator optimization scenario. In one possible embodiment, when the average duration is less than 2 years, the application scenario is determined to be an indicator optimization scenario.

[0046] Optionally, the method for determining the indicator optimization scenario in the application scenario is as follows:

[0047] The analysis scenario in the application scenario is determined using the updated processing data;

[0048] Based on the corrosion data in the analysis scenario, determine the number of times the corrosion situation in the analysis scenario does not meet the requirements within a specified time period;

[0049] The number of times the corrosion situation in the analysis scenario fails to meet the requirements within a specified time period is used to determine whether the application scenario is an indicator optimization scenario.

[0050] In one possible embodiment, the specified duration is 2 years. When the ratio of the number of times the corrosion condition does not meet the requirements within the specified duration to the number of uses in the analysis scenario is greater than 0.9, the application scenario is determined to be an indicator optimization scenario.

[0051] S2 determines the matching and adjustment production scenarios and the adjustment processing sequence in other application scenarios based on the indicator control range in other application scenarios. Based on the adjustment processing sequence, the equipment parameters of the production equipment are adjusted in the matching and adjustment production scenario to obtain the production result, until the material indicator parameters of the production result in the matching and adjustment production scenario are determined to be unsatisfactory using the adjustment processing data of the equipment parameters in different matching and adjustment production scenarios.

[0052] Furthermore, the other application scenarios are those other than those for performance optimization, including applications where insulation materials can be easily replaced, such as roofs, ceilings, heating furnaces, and decomposition furnaces.

[0053] In one possible embodiment, the control range of the indicators includes halogen value and free calcium oxide content, both of which need to be controlled at halogen value ≤ 0.1% and free calcium oxide content ≤ 1.5%. The specific control range of the indicators is determined according to the control range of the factory qualified indicators under the application scenario.

[0054] Specifically, such as Figure 3 As shown, the method for determining the matching and adjustment production scenario in the other application scenarios is as follows:

[0055] The deviation between the endpoint values ​​of the indicator control range in other application scenarios is determined by the indicator control range in other application scenarios.

[0056] Based on the deviation and the largest endpoint, determine whether the other application scenarios are suitable for adjusting the production scenario.

[0057] It is understandable that when the deviation is greater than the preset deviation threshold and the largest endpoint meets the requirements, other application scenarios are used as matching and adjusting production scenarios. Since the index control range is large, the production index of the insulation material fluctuates during the adjustment process, which has little impact on its production qualification rate. Therefore, these scenarios are used as matching and adjusting production scenarios.

[0058] In one possible embodiment, other application scenarios with different indicators, where the deviation rate between endpoint values ​​is greater than 10%, the largest endpoint value, halogen value greater than or equal to 0.08%, and free calcium oxide content greater than or equal to 1.4%, are used as matching and adjusting production scenarios. In one possible embodiment, the deviation rate is determined based on the ratio of the deviation between endpoint values ​​to the largest endpoint.

[0059] Furthermore, the adjustment processing order in the matching and adjusting production scenario is determined based on the deviation rate, wherein the larger the deviation rate, the larger the adjustment processing order in the matching and adjusting production scenario.

[0060] Optionally, the method for determining the matching and adjustment production scenario in the other application scenarios is as follows:

[0061] The deviation between the endpoint values ​​of the indicator control range in other application scenarios is determined by the indicator control range in other application scenarios.

[0062] Based on the control range of equipment parameters of production equipment in other application scenarios, determine the overlap between the control range of equipment parameters of production equipment in other application scenarios and the target control range of equipment parameters in the index optimization range, and determine the overlapping production equipment in the other application scenarios based on the overlap.

[0063] Based on the deviation, the largest endpoint, and the overlapping production equipment, determine whether the other application scenarios are matching and adjusting production scenarios.

[0064] It should be noted that the production equipment for calcium silicate insulation materials includes a raw material processing system, a mixing machine, a molding machine, an autoclave, and a drying equipment.

[0065] It is understood that the matching and adjusting production scenario refers to other application scenarios where the deviation is greater than the preset deviation threshold, the largest endpoint meets the requirements, and the number of overlapping production equipment meets the requirements. Specifically, the overlapping production equipment refers to production equipment in other application scenarios where the control range of the equipment parameters overlaps with the target control range of the equipment parameters in the index optimization range.

[0066] In one possible embodiment, the target control range of the equipment parameters in the index optimization scenario is determined by simulation or experimentation. Specifically, the target control range of the equipment parameters in the index optimization scenario is the control range of the equipment parameters of the production equipment when the halogen value and the free calcium oxide content are controlled at halogen value ≤ 0.02% and free calcium oxide content ≤ 0.6%.

[0067] Furthermore, the production equipment parameters are adjusted to obtain the production results, specifically including:

[0068] In the matching and adjusting production scenario, the overlap between the equipment parameters of the production equipment and the target control range is used to determine the production equipment whose equipment parameters fall within the target control range at different times;

[0069] The adjustment time is defined as the moment when the number of production equipment whose parameters fall within the target control range meets the requirements. At the adjustment time, the adjustment process is carried out on production equipment that is not within the target space range based on the maximum adjustment rate.

[0070] The production result is determined by using the quality inspection results of the material index parameters of the adjusted production equipment.

[0071] In one possible embodiment, the maximum adjustment rate is at least less than 1%, specifically determined based on the maximum adjustment rate of the production equipment. Specifically, the equipment parameters are adjusted according to the maximum adjustment rate, moving towards the nearest endpoint of the target control range and the equipment parameters, i.e., increasing or decreasing, so that the equipment parameters are closer to the target control range. This ensures both the stability of the equipment and that it is as close to the target control range as possible.

[0072] In one possible embodiment, if the number of production equipment whose equipment parameters fall within the target control range is more than three, then the number of production equipment whose equipment parameters fall within the target control range is determined to meet the requirement.

[0073] In one possible embodiment, after adjusting the equipment parameters, the operation is controlled within a unit duration of 15 to 30 minutes. When the operation exceeds the unit duration, the production equipment is still within the control range of the equipment parameters in the matching and adjusting production scenario until the operation exceeds the unit running time. Then, the number of production equipment whose equipment parameters fall within the target control range is determined to determine whether to perform adjustment. The value of the unit running time is between 2 hours and 6 hours.

[0074] Furthermore, it is determined that the material index parameters of the production results in the matching and adjustment production scenario do not meet the requirements, specifically including:

[0075] Based on the adjustment processing data of equipment parameters in the matching and adjusting production scenario, determine the number of adjustment processing times of equipment parameters in the matching and adjusting production scenario and the number of production equipment falling within the target control range;

[0076] The matching value of the adjustment parameter in the matching and adjusting production scenario is determined based on the number of production equipment falling within the target control range;

[0077] By using the adjustment parameter matching values ​​and material index parameters of the production results in different matching and adjustment production scenarios, it is determined whether the material index parameters of the production results in the matching and adjustment production scenarios meet the requirements.

[0078] It is understood that the adjustment parameter matching value is determined based on the sum of the proportion of the number of production equipment falling within the target control range in each adjustment process in the matching adjustment production scenario.

[0079] In one possible embodiment, when the material index parameters of the production result cannot reach halogen value ≤ 0.02% or free calcium oxide content ≤ 0.6%, if the matching value of the adjustment parameter in different matching adjustment production scenarios is not less than the preset threshold, and in one possible embodiment is not less than 35, then it is determined that the material index parameters of the production result in the matching adjustment production scenario do not meet the requirements.

[0080] If the matching values ​​of the adjustment parameters in different matching and adjustment production scenarios are all less than the preset threshold, then it is determined that the material index parameters of the production results in the matching and adjustment production scenario meet the requirements, and the equipment parameters are adjusted in the matching and adjustment production scenario.

[0081] In one possible embodiment, when the number of adjustment processes required for the material index parameters of the production result to reach halogen value ≤ 0.02% and free calcium oxide content ≤ 0.6% meets the requirements (i.e., the number of adjustment processes is greater than 50), it is determined that the material index parameters of the production result in the matched adjustment production scenario meet the requirements. At this time, based on the equipment parameters of the production result to reach the number of adjustment processes required for halogen value ≤ 0.02% and free calcium oxide content ≤ 0.6%, the equipment parameters in the production process of the index optimization scenario are optimized and controlled. If the number of adjustment processes required for the material index parameters of the production result to reach the number of adjustment processes required for halogen value ≤ 0.02% and free calcium oxide content ≤ 0.6% does not meet the requirements, the equipment parameter adjustment process continues in the matched adjustment production scenario.

[0082] S3 uses the material index parameters of the production results in the matching and adjusting production scenario as a basis, and determines the production scenario for which the equipment parameters need to be adjusted based on the control range of the equipment parameters in the production scenario corresponding to different application scenarios and the change data of the matching and adjusting production scenario.

[0083] Specifically, such as Figure 4 As shown, the method for determining the production scenario in which equipment parameters are adjusted is as follows:

[0084] Based on the material index parameters of the production results in the matching and adjusting production scenario, determine the material index parameters of the production results in the number of adjustment processes of the equipment parameters in the matching and adjusting production scenario;

[0085] Based on the control range of equipment parameters in the production scenario corresponding to the application scenario, determine the production equipment whose control range of equipment parameters in the production scenario falls within the target control range, and regard them as overlapping production equipment;

[0086] Based on the change data of overlapping production equipment in the production scenario and the material index parameters of the production results in the number of equipment parameter adjustment processes in the matching and adjusting production scenario, the production scenario for which equipment parameter adjustment processing is performed is determined.

[0087] Optionally, if the number of times the device parameters are adjusted in different matching and adjusting production scenarios does not meet the requirements, it indicates that the number of times the device parameters are adjusted in the matching and adjusting production scenarios is large, but a suitable control range for the device parameters in the matching and adjusting production scenarios has still not been found. Therefore, based on this, all the remaining application scenarios and their corresponding production scenarios are used as production scenarios for adjusting the device parameters. In one possible embodiment, if the number of times the device parameters are adjusted in different matching and adjusting production scenarios is greater than 100, it is determined that the number of times the device parameters are adjusted in different matching and adjusting production scenarios does not meet the requirements.

[0088] Additionally, it is understandable that if the number of times the equipment parameters are adjusted in different matching and adjustment production scenarios is uneven and does not meet the requirements in the above steps, it is necessary to further determine the material index parameters of the production results in the number of times the equipment parameters are adjusted in different matching and adjustment production scenarios. In one possible embodiment, the number of adjustment processes that meet the requirements for the deviation of the material index parameters from 0.02% of the halogen value and 0.6% of the free calcium oxide content is taken as the parameter near adjustment number. When the parameter near adjustment number does not meet the requirements or the number of matching and adjustment production scenarios with parameter near adjustment number is small, the adjustment deviation of the material index parameters is relatively large. Therefore, based on this, all the remaining application scenarios and their corresponding production scenarios are taken as the production scenarios for adjusting the equipment parameters.

[0089] It should be noted that, in one possible embodiment, the number of times the material index parameters and halogen values ​​are less than or equal to 0.03% and the free calcium oxide content is less than or equal to 0.7% is taken as the parameter near adjustment number. When the parameter near adjustment number is less than 10 times or the number of production scenarios with matching parameter near adjustment numbers is less than 2, then all the remaining application scenarios are determined as the production scenarios for adjusting the equipment parameters.

[0090] Additionally, it can be understood that if the number of parameter adjustments near the specified number meets the requirements and there are a large number of matching adjustment production scenarios with the same number of parameter adjustments near the specified number, then the matching adjustment production scenarios with the same number of parameter adjustments near the specified number are considered as similar adjustment production scenarios. Based on the change data of overlapping production equipment in the production scenario and the similar adjustment production scenarios, the number of overlapping production equipment to be added in the production scenario is determined. When the number of production scenarios that is greater than the number of overlapping production equipment in the similar adjustment production scenarios meets the requirements, in a possible embodiment, that is, more than 3, then only the production scenarios that are greater than the number of overlapping production equipment in the similar adjustment production scenarios need to be considered as production scenarios for adjusting equipment parameters.

[0091] Furthermore, when the number of production scenarios with more overlapping production equipment than the number of similar adjusted production scenarios does not meet the requirements, the production scenarios that meet the requirements for the number of overlapping production equipment with the similar adjusted production scenarios, as well as the production scenarios with more overlapping production equipment than the number of similar adjusted production scenarios, are used as the production scenarios for adjusting equipment parameters.

[0092] Optionally, the method for determining the production scenario in which equipment parameters are adjusted is as follows:

[0093] Based on the material index parameters of the production results in the matching and adjusting production scenario, the material index parameters of the production results in the number of adjustment processing times of the equipment parameters in the matching and adjusting production scenario are determined, and the number of adjustment processing times in which the material index parameters meet the requirements is taken as the parameter adjacent adjustment number.

[0094] The matching adjustment production scenario with adjacent adjustment times of parameters is regarded as the similar adjustment production scenario. Based on the change data of overlapping production equipment in the production scenario and the similar adjustment production scenario, the same number and change number of overlapping production equipment in the production scenario are determined.

[0095] Based on the number of identical and variable production scenarios, determine whether the production scenario is one in which equipment parameters need to be adjusted.

[0096] In one possible embodiment, if the number of times the parameter is close to being adjusted in different matching and adjustment production scenarios does not meet the requirements, that is, when the number of times the parameter is close to being adjusted is less than 10, it indicates that the deviation of the production index parameter in the number of times the equipment parameter is adjusted in the matching and adjustment production scenario is relatively serious. Therefore, based on this, all the remaining application scenarios and their corresponding production scenarios are used as the production scenarios for adjusting the equipment parameters.

[0097] In one possible embodiment, when the number of parameter adjustments in different matching production scenarios meets the requirement, if the number of identical production devices in the production scenario and the similar adjustment production scenario is not less than 2 and the number of changes is not less than 2, then the production scenario is determined to be a production scenario for adjusting equipment parameters.

[0098] Example 2

[0099] Secondly, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described method for production management of thermal insulation materials considering application scenario requirements when running the computer program.

[0100] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0101] The foregoing has described 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 may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0102] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A production management method of an insulation material considering application scene requirements, characterized by, Specifically, it includes: Based on the data on the replacement and corrosion of insulation materials in the application scenario, the optimization scenarios for the indicators in the application scenario are determined. Based on the control range of indicators in other application scenarios, determine the matching and adjustment production scenarios and the adjustment processing sequence in the matching and adjustment production scenarios. Based on the adjustment processing sequence, adjust the equipment parameters of the production equipment in the matching and adjustment production scenarios to obtain the production results, until the material indicator parameters of the production results in the matching and adjustment production scenarios are determined to be unsatisfactory using the adjustment processing data of equipment parameters in different matching and adjustment production scenarios. Based on the material index parameters of the production results in the matching and adjustment production scenario, and according to the control range of equipment parameters in the production scenario corresponding to different application scenarios and the change data of the matching and adjustment production scenario, the production scenario for which equipment parameter adjustment processing is performed is determined. The method for determining the matching and adjustment production scenario in the other application scenarios is as follows: The deviation between the endpoint values ​​of the indicator control range in other application scenarios is determined by the indicator control range in other application scenarios. Based on the deviation and the largest endpoint, determine whether the other application scenarios are suitable for matching and adjusting production scenarios; The deviation rate is determined based on the ratio of the deviation between endpoint values ​​to the largest endpoint. The adjustment processing order in the matching and adjustment production scenario is determined based on the deviation rate. The larger the deviation rate, the larger the adjustment processing order in the matching and adjustment production scenario. The method for determining the production scenario in which equipment parameters are adjusted is as follows: Based on the material index parameters of the production results in the matching and adjusting production scenario, determine the material index parameters of the production results in the number of adjustment processes of the equipment parameters in the matching and adjusting production scenario; Based on the control range of equipment parameters in the production scenario corresponding to the application scenario, determine the production equipment whose control range of equipment parameters in the production scenario falls within the target control range, and regard them as overlapping production equipment; Based on the change data of overlapping production equipment in the production scenario and the material index parameters of the production results in the number of equipment parameter adjustment processes in the matching and adjusting production scenario, the production scenario for which equipment parameter adjustment processing is performed is determined.

2. The production management method for thermal insulation materials considering application scenario requirements as described in claim 1, characterized in that, The replacement processing data includes the difficulty of replacing the insulation material in the application scenario.

3. The production management method for thermal insulation materials considering application scenario requirements as described in claim 1, characterized in that, The corrosion data includes the corrosion status of the insulation material in the application scenario.

4. The production management method for thermal insulation materials considering application scenario requirements as described in claim 1, characterized in that, The method for determining the indicator optimization scenario in the application scenario is as follows: The analysis scenario in the application scenario is determined using the replacement processing data; Based on the corrosion data in the analysis scenario, determine the average duration during which the corrosion condition in the analysis scenario does not meet the requirements; The average duration is used to determine whether the application scenario is a metric optimization scenario.

5. The production management method for thermal insulation materials considering application scenario requirements as described in claim 4, characterized in that, When the surface pulverization area is greater than 15% or a through crack with a width greater than 2 mm appears, the corrosion situation in the analysis scenario is determined to be unsatisfactory.

6. The production management method for thermal insulation materials considering application scenario requirements as described in claim 1, characterized in that, The other application scenarios are those other than those for metric optimization.

7. The production management method for thermal insulation materials considering application scenario requirements as described in claim 1, characterized in that, The control range of the indicators includes halogen value and free calcium oxide content.

8. A computer system, comprising: A memory and processor connected by communication, and a computer program stored in the memory and capable of running on the processor, characterized in that, when the processor runs the computer program, it executes a production management method for thermal insulation materials that takes into account the needs of application scenarios, as described in any one of claims 1-7.

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