Preparation Transfer Method, Device, Equipment and Storage Medium of Insulating Fiber Sleeve

Abstract

The present invention relates to artificial intelligence technology, and discloses a preparation and transfer method for an insulating fiber sleeve, including: marking the process nodes of the preparation process of the insulating fiber sleeve; executing the preparation process to obtain the finished product of the insulating fiber sleeve, recording the process transfer duration of each process node, and calculating the total process transfer duration according to the process node and the process transfer duration; calculating the finished product quality of the insulating fiber sleeve finished product, and calculating the preparation performance value according to the finished product quality and the total process transfer duration; randomly adjusting the preparation parameters of each process node, and calculating the preparation performance value corresponding to the preparation parameters; when the preparation performance value is greater than the preset performance threshold, obtaining the standard preparation process of the insulating fiber sleeve according to the preparation parameters at this time. The present invention also proposes a preparation and transfer device, equipment and storage medium for an insulating fiber sleeve. The present invention can improve the efficiency of the preparation of the insulating fiber sleeve.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and particularly to a preparation and transfer method, device, equipment and storage medium for an insulating fiber sleeve. Background Art

[0002] The insulating fiber sleeve is obtained by processes such as weaving and coating with insulating fiber materials, and is usually used in the field of wire insulation. With the advent of the electrification era, the insulating fiber sleeve has played a role in more and more fields. However, in order to provide a better experience for users and improve the product quality and reputation of the insulating fiber sleeve, it is necessary to improve the preparation process of the insulating fiber sleeve.

[0003] The existing preparation technologies for insulating fiber sleeves mostly involve process regulation and parameter debugging based on the preparation experience of personnel. Moreover, the existing preparation links of insulating fiber sleeves are complex and involve many nodes. In practical applications, it may lead to poor control of the preparation timeliness and quality, resulting in low efficiency in the preparation of insulating fiber sleeves. Summary of the Invention

[0004] The present invention provides a preparation and transfer method, device, equipment and storage medium for an insulating fiber sleeve, and its main purpose is to solve the problem of low efficiency in the preparation of insulating fiber sleeves.

[0005] To achieve the above object, a preparation and transfer method for an insulating fiber sleeve provided by the present invention includes:

[0006] Marking the process nodes of the preparation process of the insulating fiber sleeve by using the pre-acquired node markings;

[0007] Executing the preparation process to obtain the finished product of the insulating fiber sleeve, recording the process transfer duration of each process node, and calculating the total process transfer duration according to the process node and the process transfer duration;

[0008] Performing multi-dimensional index evaluation on the finished product of the insulating fiber sleeve, calculating the finished product quality of the finished product of the insulating fiber sleeve according to the evaluated index values, and calculating the preparation performance value according to the finished product quality and the total process transfer duration;

[0009] Randomly adjusting the preparation parameters of each process node to obtain adjusted parameters, and calculating the preparation performance value corresponding to the adjusted parameters;

[0010] Judging whether the preparation performance value is greater than a preset performance threshold;

[0011] When the preparation performance value is less than or equal to the preset performance threshold, returning to the step of randomly adjusting the preparation parameters of each process node;

[0012] When the preparation performance value is greater than a preset performance threshold, the preparation parameters corresponding to the preparation performance value at this time are used as the target preparation parameters, and the standard preparation process of the insulating fiber sleeve is obtained according to the target preparation parameters.

[0013] Optionally, calculating the total process transfer duration according to the process nodes and the process transfer duration includes:

[0014] Generating a directed flow chart of the preparation process according to the process sequence of the process nodes;

[0015] Adding the process transfer duration as a duration weight to the corresponding process nodes of the directed flow chart to obtain a weighted flow chart;

[0016] Calculating all the process total durations of the preparation process according to the weighted flow chart, and aggregating all the process total durations into a total duration sequence;

[0017] Calculating the process transfer total duration according to the total duration sequence through a preset total transfer duration formula.

[0018] Optionally, calculating all the process total durations of the preparation process according to the weighted flow chart includes:

[0019] Using a traversal method to select the process node with the smallest in-degree from the weighted flow chart as the target node, and adding the target node to a preset process sequence;

[0020] Deleting the target node and the directed edges associated with the target node from the weighted flow chart, and subtracting one from the in-degree of the process nodes corresponding to the directed edges associated with the target node;

[0021] Judging whether the process sequence contains all the process nodes in the weighted flow chart;

[0022] When the process sequence does not contain all the process nodes in the weighted flow chart, return to the step of selecting the process node with the smallest in-degree from the weighted flow chart as the target node;

[0023] When the process sequence contains all the process nodes in the weighted flow chart, select one of the process sequences as the target sequence one by one, and add up the duration weights corresponding to all the process nodes in the target sequence to obtain the process total duration.

[0024] Optionally, calculating the process transfer total duration according to the total duration sequence through a preset total transfer duration formula includes:

[0025] Taking the average value of the total duration sequence as the overall duration average;

[0026] Calculate the overall duration standard deviation of the total duration sequence based on the overall duration average value.

[0027] Calculate the total duration interval of the preparation process according to the overall duration standard deviation by using the total transfer duration formula, and use the maximum value of the total duration interval as the process transfer total duration:

[0028]

[0029]

[0030]

[0031] Wherein, P refers to the overall duration average value, k refers to the k-th item in the total duration sequence, m refers to the total number of the process total durations in the total duration sequence, t k refers to the process total duration of the k-th item in the total duration sequence, B refers to the overall duration standard deviation, T refers to the total duration interval, Z refers to the Z value of the total duration interval, which can be obtained by looking up the standard normal distribution table, ε is a preset probability parameter, and σ is a preset duration parameter.

[0032] Optionally, the filtering operation on the index values in the multi-dimensional evaluation value sequence to obtain the standard evaluation value sequence includes:

[0033] Obtain the reasonable interval of each index value in the multi-dimensional evaluation value batch;

[0034] Select one multi-dimensional evaluation value batch in the multi-dimensional evaluation value sequence as the target evaluation value batch one by one;

[0035] Select one index value in the target evaluation value batch as the target evaluation value one by one;

[0036] Judge whether the target evaluation value is within the reasonable interval corresponding to the target evaluation value;

[0037] When the target evaluation value is within the reasonable interval corresponding to the target evaluation value, return to the step of selecting one index value in the target evaluation value batch as the target evaluation value one by one;

[0038] When the target evaluation value is not within the reasonable interval corresponding to the target evaluation value, delete the target evaluation value batch corresponding to the target evaluation value in the multi-dimensional evaluation value sequence, and return to the step of selecting one multi-dimensional evaluation value batch in the multi-dimensional evaluation value sequence as the target evaluation value batch one by one.

[0039] Optionally, the randomly adjusting the preparation parameters of each of the process nodes to obtain adjustment parameters includes:

[0040] Sending the preparation parameters to the staff of the preparation process to obtain the parameter range of the preparation parameters by the staff;

[0041] Selecting one parameter from the preparation parameters one by one as the target preparation parameter, and extracting the range corresponding to the target preparation parameter from the parameter range as the target parameter range;

[0042] Using a preset random number function to generate a random number within the target parameter range as the target adjustment parameter, and aggregating all the target adjustment parameters into the adjustment parameters.

[0043] Optionally, the calculating the preparation performance value corresponding to the adjustment parameters includes:

[0044] Updating the preparation process according to the adjustment parameters and obtaining the updated finished product of the insulating fiber sleeve;

[0045] Updating the process flow duration of the process node according to the adjustment parameters, and calculating the updated total process flow duration according to the updated process flow duration;

[0046] Calculating the updated finished product quality of the updated insulating fiber sleeve finished product, and calculating the preparation performance value according to the updated total process flow duration and the updated finished product quality.

[0047] To solve the above problems, the present invention also provides a preparation and transfer device for an insulating fiber sleeve, and the device includes:

[0048] A process annotation module for annotating the process nodes of the preparation process of the insulating fiber sleeve by using the node marks obtained in advance;

[0049] A duration calculation module for executing the preparation process to obtain the finished product of the insulating fiber sleeve, recording the process flow duration of each process node, and calculating the total process flow duration according to the process node and the process flow duration;

[0050] A performance calculation module for performing multi-dimensional index evaluation on the finished product of the insulating fiber sleeve, calculating the finished product quality of the finished product of the insulating fiber sleeve according to the evaluated index values, and calculating the preparation performance value according to the finished product quality and the total process flow duration;

[0051] A parameter adjustment module for randomly adjusting the preparation parameters of each process node to obtain adjustment parameters, and calculating the preparation performance value corresponding to the adjustment parameters;

[0052] A process optimization module, configured to determine whether the preparation performance value is greater than a preset performance threshold; when the preparation performance value is less than or equal to the preset performance threshold, return the step of randomly adjusting the preparation parameters of each of the process nodes; when the preparation performance value is greater than the preset performance threshold, use the preparation parameters corresponding to the preparation performance value at this time as the target preparation parameters, and obtain the standard preparation process of the insulating fiber sleeve according to the target preparation parameters.

[0053] To solve the above problems, the present invention further provides a device, the device includes:

[0054] At least one processor; and,

[0055] A memory communicatively connected to the at least one processor; wherein,

[0056] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the above-mentioned preparation and transfer method of the insulating fiber sleeve.

[0057] To solve the above problems, the present invention further provides a storage medium, in which at least one computer program is stored, and the at least one computer program is executed by a processor in a device to implement the above-mentioned preparation and transfer method of the insulating fiber sleeve.

[0058] In the embodiments of the present invention, by using the pre-acquired node markings to label the process nodes of the preparation process of the insulating fiber sleeve, the preparation process of the insulating fiber sleeve can be segmented and analyzed, so as to comprehensively optimize the preparation process of the insulating fiber sleeve. By recording the process transfer duration of each process node and calculating the total process transfer duration based on the process node and the process transfer duration, the preparation process can be segmented and recorded, which is convenient for subsequent adjustment of preparation parameters. At the same time, the timeliness of the preparation process can be evaluated as a whole. By performing multi-dimensional index evaluation on the finished product of the insulating fiber sleeve and calculating the finished product quality of the finished product of the insulating fiber sleeve according to the measured index values, multi-dimensional detection of the finished product of the insulating fiber sleeve can be carried out, so as to more comprehensively reflect the overall quality of the finished product of the insulating fiber sleeve and facilitate the search and improvement of defective items. By randomly adjusting the preparation parameters of each process node to obtain adjustment parameters and calculating the preparation performance values corresponding to the adjustment parameters, the variable factors of the preparation process can be increased or decreased, so as to manufacture the insulating fiber sleeve with better quality as much as possible and increase the robustness of the manufacturing process optimization. By obtaining the standard preparation process of the insulating fiber sleeve according to the target preparation parameters, the optimization and update of the preparation process of the insulating fiber sleeve can be realized, and a preparation process with shorter preparation duration and higher quality can be found, so as to improve the production efficiency of the insulating heat-insulating fiber sleeve. Therefore, the preparation transfer method, device, equipment and storage medium of the insulating fiber sleeve proposed by the present invention can solve the problem of low efficiency in the preparation of the insulating fiber sleeve. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 FIG. is a schematic flowchart of a preparation transfer method for an insulating fiber sleeve provided by an embodiment of the present invention;

[0060] Figure 2 FIG. is a schematic flowchart of calculating the total process transfer duration provided by an embodiment of the present invention;

[0061] Figure 3 FIG. is a schematic flowchart of calculating the finished product quality provided by an embodiment of the present invention;

[0062] Figure 4 FIG. is a functional module diagram of a preparation transfer device for an insulating fiber sleeve provided by an embodiment of the present invention;

[0063] Figure 5 FIG. is a schematic structural diagram of a device for implementing the preparation transfer method of the insulating fiber sleeve provided by an embodiment of the present invention.

[0064] The realization, functional characteristics and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0065] It should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0066] An embodiment of the present application provides a preparation and transfer method for an insulating fiber sleeve. The execution subject of the preparation and transfer method for the insulating fiber sleeve includes, but is not limited to, at least one of devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiment of the present application. In other words, the preparation and transfer method for the insulating fiber sleeve can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server, or a cloud server cluster, etc. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, Content Delivery Network (CDN), and big data and artificial intelligence platforms.

[0067] Referring to Figure 1 As shown, it is a schematic flowchart of the preparation and transfer method for an insulating fiber sleeve provided by an embodiment of the present invention. In this embodiment, the preparation and transfer method for the insulating fiber sleeve includes:

[0068] S1. Use the pre-acquired node markers to mark the process nodes of the preparation process of the insulating fiber sleeve;

[0069] In an embodiment of the present invention, the process node refers to an intermediate node in the preparation process of the insulating fiber sleeve that has a strict upper and lower stage relationship, and the intermediate node refers to a transfer point when a project needs to be completed in several different processes or stages, when a certain program or stage ends and another program or stage starts.

[0070] In an embodiment of the present invention, using the pre-acquired node markers to mark the process nodes of the preparation process of the insulating fiber sleeve means splitting the preparation process of the insulating fiber sleeve in a node manner. For example, the preparation process of the insulating fiber sleeve includes: mixing an ion exchange resin and an organic solvent to obtain a mixture M1, adding a first fiber and a second fiber to the mixture M1 to obtain a mixture M2, adding a first powder and a first particle to the mixture M2 to obtain an insulating fiber M3, and weaving the insulating fiber to obtain an insulating fiber sleeve; then the above process nodes can be: Node 1, obtaining the mixture M1; Node 2, obtaining the mixture M2; Node 3, obtaining the insulating fiber M3; Node 4, obtaining the insulating fiber sleeve.

[0071] In the embodiments of the present invention, by using the pre-acquired node markings to mark the process nodes of the preparation process of the insulating fiber sleeve, the preparation process of the insulating fiber sleeve can be segmented and analyzed, so as to comprehensively optimize the preparation process of the insulating fiber sleeve.

[0072] S2. Execute the preparation process to obtain the finished insulating fiber sleeve, record the process transfer duration of each process node, and calculate the total process transfer duration according to the process node and the process transfer duration.

[0073] In the embodiments of the present invention, the process transfer duration refers to the duration between each process node and the previous process node. Among them, the process transfer duration of the first process node refers to the duration from the start of the process to the first process node.

[0074] In the embodiments of the present invention, with reference to Figure 2 As shown, calculating the total process transfer duration according to the process node and the process transfer duration includes:

[0075] S21. Generate a directed flow chart of the preparation process according to the process sequence of the process nodes.

[0076] S22. Add the process transfer duration as the duration weight to the corresponding process nodes in the directed flow chart to obtain a weighted flow chart.

[0077] S23. Calculate the total process duration of all process nodes of the preparation process according to the weighted flow chart, and aggregate all the total process durations into a total duration sequence.

[0078] S24. Calculate the total process transfer duration according to the total duration sequence through a preset total transfer duration formula.

[0079] Specifically, generating the directed flow chart of the preparation process according to the process sequence of the process nodes means connecting the process nodes in series with directed edges according to the process sequence, so as to obtain the directed flow chart of the preparation process.

[0080] In detail, calculating the total process duration of all process nodes of the preparation process according to the weighted flow chart includes:

[0081] Select the process node with the smallest in-degree from the weighted flow chart as the target node by means of traversal, and add the target node to a preset process sequence.

[0082] Delete the target node and the directed edges associated with the target node from the weighted flow chart, and subtract one from the in-degree of the process nodes corresponding to the directed edges associated with the target node.

[0083] Determine whether all process nodes in the weighted flowchart are included in the process sequence;

[0084] When all process nodes in the weighted flowchart are not included in the process sequence, return the step of selecting the process node with the smallest in-degree from the weighted flowchart as the target node;

[0085] When all process nodes in the weighted flowchart are included in the process sequence, select one of the process sequences as the target sequence one by one, and add up the duration weights corresponding to all process nodes in the target sequence to obtain the total process duration.

[0086] Specifically, the in-degree refers to the process order of the process node, and the in-degree of the process node obtained by the process starting point is 0.

[0087] Specifically, by calculating all the total process durations of the preparation process according to the weighted flowchart, all possible routes from the process starting point to the process end point can be selected from the weighted flowchart, and a more comprehensive analysis of the preparation process can be carried out.

[0088] Specifically, calculating the total process transfer duration according to the total duration sequence through a preset total transfer duration formula includes:

[0089] Taking the average value of the total duration sequence as the overall duration average value;

[0090] Calculating the overall duration standard deviation of the total duration sequence according to the overall duration average value;

[0091] Using the transfer total duration formula to calculate the total duration interval of the preparation process according to the overall duration standard deviation, and taking the maximum value of the total duration interval as the total process transfer duration:

[0092]

[0093]

[0094]

[0095] Wherein, P refers to the overall duration average value, k refers to the k-th item in the total duration sequence, m refers to the total number of the total process durations in the total duration sequence, t k refers to the total process duration of the k-th item in the total duration sequence, B refers to the overall duration standard deviation, T refers to the total duration interval, Z refers to the Z value of the total duration interval, which can be obtained by looking up the standard normal distribution table, ε is a preset probability parameter, and σ is a preset duration parameter.

[0096] Specifically, the probability parameter defaults to 0.95, and the duration parameter defaults to 24.

[0097] Specifically, by using the total flow duration formula to calculate the total duration range of the preparation process according to the overall duration standard deviation, a value range representing the maximum possibility of the preparation process can be obtained, ensuring that the total process flow duration used for subsequent calculations can have the maximum representativeness for the preparation process. By taking the maximum value of the total duration range as the total process flow duration, the fault tolerance of the preparation process can be further increased, ensuring that the total process flow duration is closer to the actual preparation process.

[0098] In the embodiment of the present invention, by recording the process flow duration of each process node and calculating the total process flow duration according to the process node and the process flow duration, the preparation process can be recorded in segments, facilitating subsequent adjustment of preparation parameters, and at the same time, the timeliness of the preparation process can be evaluated as a whole.

[0099] S3. Conduct multi-dimensional index evaluation on the finished product of the insulating fiber sleeve, calculate the finished product quality of the finished product of the insulating fiber sleeve according to the evaluated index values, and calculate the preparation performance value according to the finished product quality and the total process flow duration;

[0100] In the embodiment of the present invention, the multi-dimensional index evaluation of the finished product of the insulating fiber sleeve includes: heat resistance and flame retardancy performance evaluation, heat preservation and heat insulation performance evaluation, electrical insulation performance evaluation, chemical stability performance evaluation, weather resistance aging performance evaluation, cold resistance performance evaluation, etc.

[0101] In the embodiment of the present invention, with reference to Figure 3 As shown, the calculation of the finished product quality of the finished product of the insulating fiber sleeve according to the evaluated index values includes:

[0102] S31. Combine the heat resistance value, heat preservation and heat insulation value, insulation value, stability value, anti-aging value, and cold resistance value in the index values into a multi-dimensional evaluation value batch according to the evaluation order, and assemble all the multi-dimensional evaluation value batches into a multi-dimensional evaluation value sequence;

[0103] S32. Perform a filtering operation on the index values in the multi-dimensional evaluation value sequence to obtain a standard evaluation value sequence;

[0104] S33. Calculate the finished product quality of the finished product of the insulating fiber sleeve according to the standard evaluation value sequence by using a preset multi-dimensional normalization evaluation formula:

[0105]

[0106]

[0107] Among them, S is the symbolic value of the finished product quality, sign is the single negative sign function. When at least one number in an array is negative, the value of sign is -1. Only when all numbers in an array are positive, the value of sign is 1. D is the finished product quality, i is the i-th value in the multi-dimensional evaluation value batch, j is the j-th multi-dimensional evaluation value batch in the standard evaluation value sequence, n is the total number of multi-dimensional evaluation value batches in the standard evaluation value sequence, refers to the i-th index value in the j-th multi-dimensional evaluation value batch, and refers to the heat resistance value in the j-th multi-dimensional evaluation value batch, refers to the heat preservation and insulation value in the j-th multi-dimensional evaluation value batch, refers to the insulation value in the j-th multi-dimensional evaluation value batch, refers to the stability value in the j-th multi-dimensional evaluation value batch, refers to the anti-aging value in the j-th multi-dimensional evaluation value batch, refers to the cold resistance value in the j-th multi-dimensional evaluation value batch, γ i refers to the quality threshold corresponding to the i-th index value in the multi-dimensional evaluation value batch, and γ 1 refers to the heat resistance threshold corresponding to the heat resistance value, γ 2 refers to the heat preservation and insulation threshold corresponding to the heat preservation and insulation value, γ 3 refers to the insulation threshold corresponding to the insulation value, γ 4 refers to the stability threshold corresponding to the stability value, γ 5 refers to the anti-aging threshold corresponding to the anti-aging value, γ 6 refers to the cold resistance threshold corresponding to the cold resistance value, δ i refers to the preset numerical weight corresponding to the i-th index value in the multi-dimensional evaluation value batch, and δ i The sum of is 6.

[0108] In the embodiment of the present invention, using the preset multi-dimensional normalization evaluation formula to calculate the finished product quality of the insulating fiber sleeve according to the standard evaluation value sequence can intuitively judge whether the finished product quality meets the standard. When the finished product quality is negative, it means that at least one of the index values of the insulating fiber sleeve finished product does not exceed the quality threshold, then the overall quality of the insulating fiber sleeve finished product does not meet the standard, and the larger the value of the finished product quality, the better the overall quality of the insulating fiber sleeve finished product.

[0109] Specifically, the operation of filtering the index values in the multi-dimensional evaluation value sequence to obtain a standard evaluation value sequence includes:

[0110] Obtain the reasonable range of each index value in the multi-dimensional evaluation value batch;

[0111] Select one multi-dimensional evaluation value batch in the multi-dimensional evaluation value sequence one by one as the target evaluation value batch;

[0112] Select one index value in the target evaluation value batch one by one as the target evaluation value;

[0113] Determine whether the target evaluation value is within the reasonable range corresponding to the target evaluation value;

[0114] When the target evaluation value is within the reasonable range corresponding to the target evaluation value, return to the step of selecting one index value in the target evaluation value batch one by one as the target evaluation value;

[0115] When the target evaluation value is not within the reasonable range corresponding to the target evaluation value, delete the target evaluation value batch corresponding to the target evaluation value in the multi-dimensional evaluation value sequence, and return to the step of selecting one multi-dimensional evaluation value batch in the multi-dimensional evaluation value sequence one by one as the target evaluation value batch.

[0116] Specifically, the reasonable range refers to the reasonable value range of the index value. For example, the reasonable range of the heat resistance value should be between 20 degrees and 3000 degrees.

[0117] Specifically, by performing a filtering operation on the index values in the multi-dimensional evaluation value sequence to obtain a standard evaluation value sequence, invalid data in the multi-dimensional evaluation value sequence can be filtered, thereby reducing the impact on the subsequent calculation of the finished product quality, and ensuring that the finished product quality can more comprehensively and accurately reflect the quality of the insulating fiber sleeve finished product.

[0118] Specifically, calculating the preparation performance value according to the finished product quality and the total process flow time means dividing the finished product quality by the total process flow time to obtain the preparation performance value.

[0119] In the embodiment of the present invention, by performing multi-dimensional index evaluation on the insulating fiber sleeve finished product and calculating the finished product quality of the insulating fiber sleeve finished product according to the evaluated index values, multi-dimensional detection of the insulating fiber sleeve finished product can be performed, thereby more comprehensively reflecting the overall quality of the insulating fiber sleeve finished product, and also facilitating the search and improvement of defect items.

[0120] S4. Randomly adjust the preparation parameters of each of the process nodes to obtain adjusted parameters, and calculate the preparation performance value corresponding to the adjusted parameters;

[0121] In the embodiments of the present invention, the preparation parameters refer to various adjustable parameters in the process nodes. For example, parameters such as the stirring duration of the mixture, the ratio between the mixture raw materials, the initial temperature during mixing, the cooling duration, and the defoaming duration.

[0122] In the embodiments of the present invention, the randomly adjusting the preparation parameters of each of the process nodes to obtain adjusted parameters includes:

[0123] Send the preparation parameters to the staff of the preparation process, and obtain the parameter range of the preparation parameters by the staff;

[0124] Select one parameter from the preparation parameters one by one as the target preparation parameter, and extract the range corresponding to the target preparation parameter from the parameter range as the target parameter range;

[0125] Use a preset random number function to generate a random number within the range of the target parameter range as the target adjusted parameter, and aggregate all the target adjusted parameters into the adjusted parameters.

[0126] Specifically, the parameter range refers to the reasonable value range corresponding to the preparation parameters. For example, the ratio of the mixture raw materials can be between 0% and 100%.

[0127] Specifically, the random number function can be the RAND() function, and the RAND() function can return a random number within a certain range, and the random number can be an integer or a floating point number.

[0128] Specifically, the calculating the preparation performance value corresponding to the adjusted parameters includes:

[0129] Update the preparation process according to the adjusted parameters, and obtain the updated finished product of the insulating fiber sleeve;

[0130] Update the process flow duration of the process node according to the adjusted parameters, and calculate the updated total process flow duration according to the updated process flow duration;

[0131] Calculate the updated finished product quality of the updated finished product of the insulating fiber sleeve, and calculate the preparation performance value according to the updated total process flow duration and the updated finished product quality.

[0132] Specifically, the method of updating the process flow duration of the process node according to the adjustment parameter and calculating the updated total process flow duration according to the updated process flow duration is the same as the method of recording the process flow duration of each process node in the above step S2 and calculating the total process flow duration according to the process node and the process flow duration, which will not be elaborated here.

[0133] Specifically, the method of calculating the updated finished product quality of the insulated fiber sleeve after updating, and calculating the preparation performance value according to the updated total process flow duration and the updated finished product quality is the same as the step of performing multi-dimensional index evaluation on the insulated fiber sleeve finished product in the above step S3, calculating the finished product quality of the insulated fiber sleeve finished product according to the evaluated index values, and calculating the preparation performance value according to the finished product quality and the total process flow duration, which will not be elaborated here.

[0134] In the embodiment of the present invention, by randomly adjusting the preparation parameters of each process node to obtain adjustment parameters and calculating the preparation performance value corresponding to the adjustment parameters, the variable factors of the preparation process can be increased or decreased, so as to manufacture an insulated limit sleeve with better quality as much as possible and increase the robustness of the manufacturing process optimization.

[0135] S5. Determine whether the preparation performance value is greater than a preset performance threshold;

[0136] In the embodiment of the present invention, the preset performance threshold refers to the default optimization threshold of the process, which can be the preparation performance value of the existing process.

[0137] S6. When the preparation performance value is less than or equal to the preset performance threshold, return to the step of randomly adjusting the preparation parameters of each process node to obtain adjustment parameters;

[0138] In the embodiment of the present invention, by returning to the step of randomly adjusting the preparation parameters of each process node to obtain adjustment parameters, the preparation process can be continuously updated until the preparation parameters that meet the optimization expectations are found.

[0139] S7. When the preparation performance value is greater than the preset performance threshold, use the preparation parameters corresponding to the preparation performance value at this time as the target preparation parameters, and obtain the standard preparation process of the insulated fiber sleeve according to the target preparation parameters.

[0140] In the embodiment of the present invention, by obtaining the standard preparation process of the insulated fiber sleeve according to the target preparation parameters, the optimization and update of the preparation process of the insulated fiber sleeve can be realized, and a preparation process with shorter preparation duration and higher quality can be found, thereby improving the production efficiency of the insulated and heat-insulating fiber sleeve.

[0141] In the embodiment of the present invention, by using the pre-acquired node markers to mark the process nodes of the preparation process of the insulating fiber sleeve, the preparation process of the insulating fiber sleeve can be segmented and analyzed, so as to comprehensively optimize the preparation process of the insulating fiber sleeve. By recording the process transfer duration of each process node and calculating the total process transfer duration according to the process node and the process transfer duration, the preparation process can be segmented and recorded, which is convenient for subsequent adjustment of preparation parameters. At the same time, the timeliness of the preparation process can be evaluated as a whole. By performing multi-dimensional index evaluation on the finished product of the insulating fiber sleeve and calculating the finished product quality of the finished product of the insulating fiber sleeve according to the measured index values, multi-dimensional detection of the finished product of the insulating fiber sleeve can be carried out, so as to more comprehensively reflect the overall quality of the finished product of the insulating fiber sleeve and facilitate the search and improvement of defective items. By randomly adjusting the preparation parameters of each process node to obtain adjustment parameters and calculating the preparation performance values corresponding to the adjustment parameters, the variable factors of the preparation process can be increased or decreased, so as to manufacture the insulating limit sleeve with better quality as much as possible and increase the robustness of the manufacturing process optimization. By obtaining the standard preparation process of the insulating fiber sleeve according to the target preparation parameters, the optimization and update of the preparation process of the insulating fiber sleeve can be realized, and a preparation process with shorter preparation time and higher quality can be found, so as to improve the manufacturing efficiency of the insulating and heat-insulating fiber sleeve. Therefore, the preparation transfer method of the insulating fiber sleeve proposed by the present invention can solve the problem of low efficiency in the preparation of the insulating fiber sleeve.

[0142] As Figure 4 shown, it is a functional module diagram of a preparation transfer device for an insulating fiber sleeve provided by an embodiment of the present invention.

[0143] The preparation transfer device 100 of the insulating fiber sleeve of the present invention can be installed in a device. According to the functions achieved, the preparation transfer device 100 of the insulating fiber sleeve can include a process annotation module 101, a duration calculation module 102, a performance calculation module 103, a parameter adjustment module 104, and a process optimization module 105. The modules of the present invention can also be referred to as units, which refer to a series of computer program segments that can be executed by a device processor and can complete fixed functions, and are stored in the memory of the device.

[0144] In this embodiment, the functions of each module / unit are as follows:

[0145] The process annotation module 101 is used to mark the process nodes of the preparation process of the insulating fiber sleeve by using the pre-acquired node markers;

[0146] The duration calculation module 102 is configured to execute the preparation process to obtain finished insulating fiber sleeves, record the process transfer duration of each process node, and calculate the total process transfer duration based on the process node and the process transfer duration.

[0147] The performance calculation module 103 is configured to perform multi-dimensional index evaluation on the finished insulating fiber sleeves, calculate the finished product quality of the finished insulating fiber sleeves according to the measured index values, and calculate a preparation performance value based on the finished product quality and the total process transfer duration.

[0148] The parameter adjustment module 104 is configured to randomly adjust the preparation parameters of each process node to obtain adjusted parameters, and calculate the preparation performance value corresponding to the adjusted parameters.

[0149] The process optimization module 105 is configured to determine whether the preparation performance value is greater than a preset performance threshold; when the preparation performance value is less than or equal to the preset performance threshold, return to the step of randomly adjusting the preparation parameters of each process node; when the preparation performance value is greater than the preset performance threshold, use the preparation parameters corresponding to the preparation performance value at this time as the target preparation parameters, and obtain the standard preparation process of the insulating fiber sleeves according to the target preparation parameters.

[0150] Specifically, each module in the preparation transfer device 100 of the insulating fiber sleeves in the embodiment of the present invention adopts the same technical means as those Figures 1 to 3 described in the preparation transfer method of the insulating fiber sleeves, and can produce the same technical effects, which will not be elaborated here.

[0151] As Figure 5 shown, it is a schematic structural diagram of a device for implementing the preparation transfer method of insulating fiber sleeves provided by an embodiment of the present invention.

[0152] The device 1 may include a processor 10, a memory 11, a communication bus 12, and a communication interface 13, and may further include a computer program stored in the memory 11 and executable on the processor 10, such as a preparation transfer program for insulating fiber sleeves.

[0153] Among them, in some embodiments, the processor 10 may be composed of an integrated circuit. For example, it may be composed of a single packaged integrated circuit, or may be composed of multiple integrated circuits with the same or different functions, including a combination of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control core (Control Unit) of the device, connecting various components of the entire device through various interfaces and lines, and by running or executing programs or modules stored in the memory 11 (such as executing the preparation and transfer program of the insulating fiber sleeve, etc.), and calling the data stored in the memory 11, to perform various functions of the device and process data.

[0154] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (such as: SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the device, such as the mobile hard disk of the device. In some other embodiments, the memory 11 may also be an external storage device of the device, such as a plug-in mobile hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. equipped on the device. Further, the memory 11 may also include both the internal storage unit and the external storage device of the device. The memory 11 can not only be used to store application software installed on the device and various types of data, such as the code of the preparation and transfer program of the insulating fiber sleeve, etc., but also be used to temporarily store data that has been output or will be output.

[0155] The communication bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. This bus can be divided into an address bus, a data bus, a control bus, etc. The bus is set to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0156] The communication interface 13 is used for communication between the above-mentioned device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), and is generally used to establish a communication connection between this device and other devices. The user interface may be a display, an input unit (such as a keyboard), and optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch liquid crystal display, and an OLED (Organic Light-Emitting Diode) toucher, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, and is used to display the information processed in the device and to display a visual user interface.

[0157] Only the device with components is shown in the figure. Those skilled in the art can understand that the structure shown in the figure does not constitute a limitation on the device, and it may include fewer or more components than shown in the figure, or combine some components, or have different component arrangements.

[0158] For example, although not shown, the device may further include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so as to implement functions such as charge management, discharge management, and power consumption management through the power management device. The power source may also include any components such as one or more DC or AC power sources, a recharge device, a power failure detection circuit, a power converter or an inverter, and a power status indicator. The device may also include a variety of sensors, a Bluetooth module, a Wi-Fi module, etc., which will not be elaborated here.

[0159] It should be understood that the above embodiments are only for illustration purposes and are not limited by this structure in the scope of the patent application.

[0160] The preparation transfer program of the insulating fiber sleeve stored in the memory 11 in the device 1 is a combination of multiple instructions. When running in the processor 10, it can implement:

[0161] Using the pre-acquired node markers to label the process nodes of the preparation process of the insulating fiber sleeve;

[0162] Executing the preparation process to obtain a finished insulating fiber sleeve, recording the process transfer duration of each process node, and calculating the total process transfer duration based on the process node and the process transfer duration;

[0163] Perform multi-dimensional index evaluation on the finished product of the insulating fiber sleeve, calculate the finished product quality of the finished product of the insulating fiber sleeve according to the evaluated index values, and calculate the preparation performance value according to the finished product quality and the total process flow duration;

[0164] Randomly adjust the preparation parameters of each of the process nodes to obtain adjusted parameters, and calculate the preparation performance value corresponding to the adjusted parameters;

[0165] Determine whether the preparation performance value is greater than a preset performance threshold;

[0166] When the preparation performance value is less than or equal to the preset performance threshold, return to the step of randomly adjusting the preparation parameters of each of the process nodes;

[0167] When the preparation performance value is greater than the preset performance threshold, use the preparation parameters corresponding to the preparation performance value at this time as the target preparation parameters, and obtain the standard preparation process of the insulating fiber sleeve according to the target preparation parameters.

[0168] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to the description of the relevant steps in the corresponding embodiments of the accompanying drawings, which will not be elaborated here.

[0169] Further, if the modules / units integrated in the device 1 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a storage medium. The storage medium can be volatile or non-volatile. For example, the storage medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disc, a computer memory, a read-only memory (ROM, Read-Only Memory).

[0170] The present invention also provides a storage medium, the readable storage medium stores a computer program, and when the computer program is executed by a processor of the device, it can implement:

[0171] Use the pre-acquired node markings to label the process nodes of the preparation process of the insulating fiber sleeve;

[0172] Execute the preparation process to obtain a finished product of the insulating fiber sleeve, record the process flow duration of each of the process nodes, and calculate the total process flow duration according to the process nodes and the process flow duration;

[0173] Perform multi-dimensional index evaluation on the finished product of the insulating fiber sleeve, calculate the finished product quality of the finished product of the insulating fiber sleeve according to the evaluated index values, and calculate the preparation performance value according to the finished product quality and the total process flow duration;

[0174] Randomly adjust the preparation parameters of each of the process nodes to obtain adjusted parameters, and calculate the preparation performance value corresponding to the adjusted parameters;

[0175] Determine whether the preparation performance value is greater than a preset performance threshold;

[0176] When the preparation performance value is less than or equal to the preset performance threshold, return to the step of randomly adjusting the preparation parameters of each of the process nodes;

[0177] When the preparation performance value is greater than the preset performance threshold, use the preparation parameters corresponding to the preparation performance value at this time as the target preparation parameters, and obtain the standard preparation process of the insulating fiber sleeve according to the target preparation parameters.

[0178] In several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0179] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0180] In addition, in each embodiment of the present invention, the functional modules can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware, or in the form of hardware plus software functional modules.

[0181] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms.

[0182] Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, it is intended to cover all changes falling within the meaning and scope of the equivalent elements of the claims in the present invention. Any reference signs attached to the claims should not be regarded as limiting the claimed rights.

[0183] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is a theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use knowledge to obtain the best results.

[0184] In addition, it is obvious that the term "including" does not exclude other units or steps, and the singular does not exclude the plural. The multiple units or devices stated in the system claims can also be implemented by one unit or device through software or hardware. The terms such as first and second are used to represent names and do not indicate any specific order.

[0185] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A preparation and transfer method for an insulating fiber sleeve, characterized in that, the method includes: S1: Using pre-acquired node markings to label the process nodes of the preparation process of the insulating fiber sleeve; S2: Executing the preparation process to obtain the finished insulating fiber sleeve, recording the process transfer duration of each process node, and calculating the total process transfer duration according to the process node and the process transfer duration; S3: Conducting multi-dimensional index evaluation on the finished insulating fiber sleeve, calculating the finished product quality of the finished insulating fiber sleeve according to the measured index values, and calculating the preparation performance value according to the finished product quality and the total process transfer duration. Among them, calculating the finished product quality of the finished insulating fiber sleeve according to the measured index values includes: S31: Combining the heat resistance value, heat insulation value, insulation value, stability value, aging resistance value, and cold resistance value in the index values into a batch of multi-dimensional evaluation values in the evaluation order, and aggregating all the batches of multi-dimensional evaluation values into a multi-dimensional evaluation value sequence; S32: Performing a filtering operation on the index values in the multi-dimensional evaluation value sequence to obtain a standard evaluation value sequence; S33: Calculating the finished product quality of the finished insulating fiber sleeve according to the standard evaluation value sequence and a preset multi-dimensional normalization evaluation formula: Among them, refers to the symbolic value of the quality of the finished product, is a single negative sign function. When at least one number in an array is negative, then the value is -1. Only when all numbers in an array are positive, the value is 1. refers to the quality of the finished product, refers to the th numerical value in the multi-dimensional evaluation value batch, refers to the th multi-dimensional evaluation value batch in the standard evaluation value sequence, refers to the total number of multi-dimensional evaluation value batches in the standard evaluation value sequence, refers to the th multi-dimensional evaluation value batch, and the th index numerical value in it, and refers to the th heat resistance numerical value in the th multi-dimensional evaluation value batch, refers to the heat insulation numerical value in the th multi-dimensional evaluation value batch, refers to the insulation numerical value in the th multi-dimensional evaluation value batch, refers to the stability numerical value in the th multi-dimensional evaluation value batch, refers to the anti-aging numerical value in the th multi-dimensional evaluation value batch, refers to the cold resistance numerical value in the th multi-dimensional evaluation value batch, refers to the quality threshold corresponding to the th index numerical value in the multi-dimensional evaluation value batch, and refers to the heat resistance threshold corresponding to the heat resistance numerical value, refers to the heat insulation threshold corresponding to the heat insulation numerical value, refers to the stability threshold corresponding to the stability numerical value, refers to the anti-aging threshold corresponding to the anti-aging numerical value, refers to the cold resistance threshold corresponding to the cold resistance numerical value, refers to the th index numerical value in the multi-dimensional evaluation value batch, and the sum is 6; S4: Randomly adjusting the preparation parameters of each process node to obtain adjustment parameters, and calculating the preparation performance value corresponding to the adjustment parameters; S5: Judging whether the preparation performance value is greater than a preset performance threshold; S6: When the preparation performance value is less than or equal to the preset performance threshold, return to the step of randomly adjusting the preparation parameters of each process node; S7: When the preparation performance value is greater than the preset performance threshold, taking the preparation parameters corresponding to the preparation performance value at this time as the target preparation parameters, and obtaining the standard preparation process of the insulating fiber sleeve according to the target preparation parameters.

2. The preparation and transfer method for an insulating fiber sleeve according to claim 1, characterized in that, calculating the total process transfer duration according to the process node and the process transfer duration includes: Generating a directed flow chart of the preparation process according to the process sequence of the process node; Adding the process transfer duration as a duration weight to the corresponding process node of the directed flow chart to obtain a weighted flow chart; Calculating all the process total durations of the preparation process according to the weighted flow chart, and aggregating all the process total durations into a total duration sequence; Calculating the total process transfer duration according to the total duration sequence and a preset total transfer duration formula.

3. The preparation and transfer method for an insulating fiber sleeve according to claim 2, characterized in that, calculating all the process total durations of the preparation process according to the weighted flow chart includes: Using a traversal method to select the process node with the smallest in-degree from the weighted flow chart as the target node, and adding the target node to a preset process sequence; Delete the target node and the directed edges associated with the target node from the weighted flow chart, and decrement the in-degree of the process nodes corresponding to the directed edges associated with the target node by one; Determine whether the process sequence contains all the process nodes in the weighted flow chart; When the process sequence does not contain all the process nodes in the weighted flow chart, return to the step of selecting the process node with the minimum in-degree from the weighted flow chart as the target node; When the process sequence contains all the process nodes in the weighted flow chart, select one of the process sequences as the target sequence one by one, and add up the duration weights corresponding to all the process nodes in the target sequence to obtain the total process duration.

4. The preparation transfer method of the insulating fiber sleeve according to claim 2, characterized in that, The calculating the total process transfer duration according to the total duration sequence and a preset total transfer duration formula includes: Taking the average value of the total duration sequence as the overall duration average value; Calculating the overall duration standard deviation of the total duration sequence according to the overall duration average value; Calculating the total duration interval of the preparation process according to the overall duration standard deviation and the transfer total duration formula, and taking the maximum value of the total duration interval as the total process transfer duration: wherein, refers to the average value of the overall duration, refers to the th item in the total duration sequence, refers to the total number of the total process durations in the total duration sequence, refers to the th item of the total process duration in the total duration sequence, refers to the standard deviation of the overall duration, refers to the total duration interval, refers to the value of the total duration interval, which can be obtained by looking up the standard normal distribution table, is a preset probability parameter, is a preset duration parameter.

5. The preparation transfer method of the insulating fiber sleeve according to claim 1, characterized in that, The filtering operation on the index values in the multi-dimensional evaluation value sequence to obtain a standard evaluation value sequence includes: Obtaining the reasonable interval of each index value in the multi-dimensional evaluation value batch; Selecting one of the multi-dimensional evaluation value batches in the multi-dimensional evaluation value sequence as the target evaluation value batch one by one; Selecting one index value in the target evaluation value batch as the target evaluation value one by one; Determining whether the target evaluation value is within the reasonable interval corresponding to the target evaluation value; When the target evaluation value is within the reasonable interval corresponding to the target evaluation value, return to the step of selecting one index value in the target evaluation value batch as the target evaluation value one by one; When the target evaluation value is not within the reasonable interval corresponding to the target evaluation value, delete the target evaluation value batch corresponding to the target evaluation value from the multi-dimensional evaluation value sequence, and return to the step of selecting one of the multi-dimensional evaluation value batches in the multi-dimensional evaluation value sequence as the target evaluation value batch one by one.

6. The preparation transfer method of the insulating fiber sleeve according to claim 1, characterized in that, The randomly adjusting the preparation parameters of each process node to obtain adjustment parameters includes: Sending the preparation parameters to the staff of the preparation process, and obtaining the parameter interval of the preparation parameters by the staff; Selecting one parameter from the preparation parameters as the target preparation parameter one by one, and extracting the interval corresponding to the target preparation parameter from the parameter interval as the target parameter interval; Generating a random number within the target parameter interval by using a preset random number function as the target adjustment parameter, and aggregating all the target adjustment parameters into the adjustment parameters.

7. The preparation and transfer method of the insulating fiber sleeve according to any one of claims 1 to 6, characterized in that, the calculation of the preparation performance value corresponding to the adjustment parameter includes: updating the preparation process according to the adjustment parameter and obtaining the finished insulating fiber sleeve after updating; updating the process transfer duration of the process node according to the adjustment parameter, and calculating the total updated process transfer duration according to the updated process transfer duration; calculating the updated finished product quality of the updated insulating fiber sleeve, and calculating the preparation performance value according to the total updated process transfer duration and the updated finished product quality.

8. A preparation and transfer device for an insulating fiber sleeve, characterized in that, the device includes: a process annotation module for annotating the process nodes of the preparation process of the insulating fiber sleeve by using the pre-acquired node marks; a duration calculation module for executing the preparation process to obtain the finished insulating fiber sleeve, recording the process transfer duration of each process node, and calculating the total process transfer duration according to the process node and the process transfer duration; a performance calculation module for performing multi-dimensional index evaluation on the finished insulating fiber sleeve, calculating the finished product quality of the finished insulating fiber sleeve according to the evaluated index values, and calculating the preparation performance value according to the finished product quality and the total process transfer duration, wherein the calculation of the finished product quality of the finished insulating fiber sleeve according to the evaluated index values includes: combining the heat resistance value, heat preservation and insulation value, insulation value, stability value, aging resistance value and cold resistance value in the index values into a batch of multi-dimensional evaluation value batches in the evaluation order, and aggregating all the multi-dimensional evaluation value batches into a multi-dimensional evaluation value sequence; performing a filtering operation on the index values in the multi-dimensional evaluation value sequence to obtain a standard evaluation value sequence; calculating the finished product quality of the finished insulating fiber sleeve according to the standard evaluation value sequence and a preset multi-dimensional normalization evaluation formula: Among them, refers to the symbolic value of the finished product quality, is a single negative sign function. When at least one number in an array is negative, then the value is -1. Only when all numbers in an array are positive, the value is 1, refers to the finished product quality, refers to the th numerical value in the multi-dimensional evaluation value batch, refers to the th multi-dimensional evaluation value batch in the standard evaluation value sequence, refers to the total number of multi-dimensional evaluation value batches in the standard evaluation value sequence, refers to the th th index numerical value in the th multi-dimensional evaluation value batch, and refers to the heat resistance numerical value in the th multi-dimensional evaluation value batch, refers to the heat insulation numerical value in the th multi-dimensional evaluation value batch, refers to the insulation numerical value in the th multi-dimensional evaluation value batch, refers to the stability numerical value in the th multi-dimensional evaluation value batch, refers to the aging resistance numerical value in the th multi-dimensional evaluation value batch, refers to the cold resistance numerical value in the th multi-dimensional evaluation value batch, refers to the quality threshold corresponding to the th index numerical value in the multi-dimensional evaluation value batch, and refers to the heat resistance threshold corresponding to the heat resistance numerical value, refers to the heat insulation threshold corresponding to the heat insulation numerical value, refers to the stability threshold corresponding to the stability numerical value, refers to the aging resistance threshold corresponding to the aging resistance numerical value, refers to the cold resistance threshold corresponding to the cold resistance numerical value, refers to the th index numerical value in the multi-dimensional evaluation value batch corresponding to the preset numerical weight, and The sum of them is 6; a parameter adjustment module for randomly adjusting the preparation parameters of each process node to obtain an adjustment parameter and calculating the preparation performance value corresponding to the adjustment parameter; a process optimization module for judging whether the preparation performance value is greater than a preset performance threshold; when the preparation performance value is less than or equal to the preset performance threshold, returning to the step of randomly adjusting the preparation parameters of each process node; when the preparation performance value is greater than the preset performance threshold, taking the preparation parameters corresponding to the preparation performance value at this time as the target preparation parameters, and obtaining the standard preparation process of the insulating fiber sleeve according to the target preparation parameters.

9. A device, characterized in that, the device includes: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the preparation and transfer method of the insulating fiber sleeve according to any one of claims 1 to 7.

10. A storage medium storing a computer program, It is characterized in that when the computer program is executed by a processor, it implements the preparation and transfer method of the insulating fiber sleeve according to any one of claims 1 to 7.

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