Liquid cooling connector component intelligent production method and system

Abstract

The application relates to a liquid cooling connector part intelligent production method and system, and relates to the field of intelligent production technology.The method comprises the following steps: obtaining an order to be processed; constructing a single production scheme on each processing equipment, and combining all the single production schemes to construct an overall production scheme; determining product production time under the single production scheme according to the quantity of each production product type and the corresponding unit processing time; determining equipment adjustment time under the single production scheme according to sequentially adjacent production product types; determining a completion plan time and an overall completion time according to all the product production times and the equipment adjustment times; analyzing and defining an effective production scheme according to the completion plan time, determining an efficiency production scheme according to the overall completion time in the effective production scheme, and outputting the efficiency production scheme to a preset management end.The application has the effect of improving the overall production efficiency of liquid cooling connector parts.

Description

Technical Field

[0001] This application relates to the field of smart manufacturing technology, and in particular to a smart manufacturing method and system for liquid-cooled connector components. Background Technology

[0002] Liquid cooling connectors are critical connecting components in liquid cooling systems. They are typically precision-machined from metal or high-strength engineering plastics and are responsible for the reliable delivery and sealing of coolant between the cooling plate, piping, pump, and heat exchanger. These components have complex structures and high precision requirements, and their performance directly affects the heat dissipation efficiency, safety, and reliability of the entire liquid cooling system.

[0003] Currently, the typical production process of liquid-cooled connector components mainly relies on traditional CNC machine tools for discrete processing. The basic steps are: clamping the bar stock or pre-made blank on the machine tool, completing the turning, drilling, tapping and other processes according to the preset program, and then manually or mechanically cutting the material.

[0004] Existing production scheduling models typically rely on the order of order receipt or a rough production deadline, with production managers manually sorting and scheduling based on experience. In flexible production scenarios with multiple varieties and small batches, this method cannot ensure high production efficiency, resulting in the production efficiency of liquid-cooled connector components not being optimized and leaving room for improvement. Summary of the Invention

[0005] To improve the overall production efficiency of liquid cooling joint components, this application provides an intelligent production method and system for liquid cooling joint components.

[0006] Firstly, this application provides an intelligent manufacturing method for liquid-cooled connector components, employing the following technical solution:

[0007] A smart manufacturing method for liquid-cooled connector components includes:

[0008] Retrieve pending orders, which include the type and quantity of products to be produced.

[0009] Randomly select any number of product types on each preset processing equipment and sort them randomly to construct individual production plans. Combine all individual production plans to construct an overall production plan.

[0010] Under the single-unit production plan, the production time of each product type is calculated based on the quantity of each product and the corresponding preset unit processing time.

[0011] Under a single-unit production plan, the equipment adjustment time is determined based on the sequentially adjacent product types.

[0012] The completion schedule and overall completion time for each product type are calculated based on the production time of all products and the equipment adjustment time.

[0013] The overall production plan in which the completion time of each plan is less than the corresponding preset upper limit requirement is defined as an effective production plan. The effective production plan is then analyzed based on the overall completion time to determine the efficiency production plan, and the efficiency production plan is output to the preset management terminal.

[0014] Optionally, after an effective production plan is determined, the intelligent manufacturing method for liquid-cooled connector components also includes:

[0015] The difference between the planned completion time and the corresponding upper limit required time is used to determine the advance plan time;

[0016] The individual evaluation value corresponding to the advance planning time is determined based on the preset evaluation matching relationship;

[0017] The overall evaluation value is determined by calculating all individual evaluation values, and valid production plans with an overall evaluation value lower than the preset demand evaluation value are eliminated.

[0018] Optionally, under a single-unit production scheme, the steps for determining equipment adjustment time based on sequentially adjacent product types include:

[0019] In a single-unit production scheme, adjacent product types are combined in sequence to construct adjacent type combinations;

[0020] Construct a historical interval on a preset timeline with the current time point as the endpoint and a width of a preset historical duration, and determine the historical preparation duration within the historical interval based on the combination of adjacent types.

[0021] Randomly select a historical maintenance duration and construct a similar maintenance interval based on preset similar durations. Then, count the number of items within the similar maintenance interval based on the historical maintenance duration.

[0022] The interval with the largest number of similar equipment is defined as the equipment concentration interval, and the equipment adjustment time is determined by calculation and analysis based on the historical equipment adjustment time within the equipment concentration interval.

[0023] Optionally, the steps for calculating and analyzing the historical maintenance duration within the maintenance concentration period to determine the equipment adjustment duration include:

[0024] A simulated adjustment duration is randomly generated within the maintenance concentration interval, and the simulated interval duration is determined based on the simulated adjustment duration and the historical maintenance durations.

[0025] The actual adjustment time is determined based on the equipment adjustment time within the historical interval, and the predicted interval is determined based on the actual adjustment time and the corresponding equipment adjustment time.

[0026] The first individual coefficient corresponding to the simulated interval duration is determined based on the preset interval matching relationship, and the first evaluation coefficient is determined based on all the first individual coefficients.

[0027] Under a single simulated interval, the same predicted interval is counted to determine the historical equivalent quantity, and the second individual coefficient corresponding to the historical equivalent quantity is determined according to the preset equivalent matching relationship. The second evaluation coefficient is determined by calculating based on all the second individual coefficients.

[0028] The overall evaluation coefficient is determined by calculating based on the first evaluation coefficient and the second evaluation coefficient, and the simulation adjustment time corresponding to the largest overall evaluation coefficient is determined as the equipment adjustment time.

[0029] Optionally, the steps for determining an efficient production plan based on the overall completion time in an effective production plan include:

[0030] Under an effective production plan, determine the equipment load pressure when switching between different product types based on the production plan of each individual unit;

[0031] The equipment adjustment time and the corresponding rest adjustment pressure are determined according to the preset rest matching relationship, and the load pressure of each equipment is corrected and updated according to the rest adjustment pressure.

[0032] The equipment load pressure before production of each product type is defined as the initial load pressure, and the individual advantage coefficient corresponding to the initial load pressure is determined according to the preset advantage matching relationship. The scheme advantage coefficient is determined by calculating based on all the individual advantage coefficients.

[0033] The selection coefficient is determined by calculating the overall completion time and the advantage coefficient of the scheme, and the effective production scheme corresponding to the scheme with the largest selection coefficient is determined as the efficient production scheme.

[0034] Optionally, after the scheme selection coefficient is determined, the intelligent manufacturing method for liquid-cooled joint components also includes:

[0035] Determine whether there exists an efficient production plan with at least two options having the same and largest selection coefficient.

[0036] If there are no at least two efficient production schemes with the same and largest selection coefficient, then the efficient production scheme corresponding to the scheme with the largest selection coefficient is determined as the efficient production scheme.

[0037] If there are at least two effective production plans with the same and largest selection coefficient, then the effective production plan corresponding to the largest selection coefficient is defined as the alternative production plan.

[0038] Under alternative production plans, the number of units with insufficient advantages is determined by counting those with an advantage coefficient that is less than the preset baseline advantage coefficient.

[0039] The alternative production plan corresponding to the smallest number of shortcomings is determined as the efficient production plan.

[0040] Secondly, this application provides an intelligent production system for liquid-cooled connector components, which adopts the following technical solution:

[0041] A smart manufacturing system for liquid-cooled connector components includes:

[0042] The acquisition module is used to acquire orders waiting to be processed, which include the type of product to be produced and the quantity of product to be produced.

[0043] The processing module, connected to the acquisition module, is used for information storage and processing;

[0044] The processing module randomly selects any number of production product types on each preset processing equipment and randomly sorts them to construct individual production plans. It then combines all the individual production plans to construct an overall production plan.

[0045] Under the single-unit production plan, the processing module calculates and determines the product production time based on the quantity of each type of product and the corresponding preset unit processing time.

[0046] The processing module determines the equipment adjustment time based on the sequentially adjacent product types under the single-unit production plan;

[0047] The processing module calculates the planned completion time for each product type and the overall completion time based on the production time of all products and the equipment adjustment time.

[0048] The processing module defines an overall production plan in which the completion time of each plan is less than the corresponding preset upper limit requirement as an effective production plan. It then analyzes and determines an efficient production plan based on the overall completion time within the effective production plan and outputs the efficient production plan to the preset management terminal.

[0049] In summary, this application includes at least one of the following beneficial technical effects:

[0050] In the process of producing liquid cooling connector components, production planning can be carried out in an orderly manner for different orders and different types of products, thereby making the production efficiency of the products higher.

[0051] During the process of determining the operation and processing plan for a single piece of equipment, the time required to adjust various parameters of the equipment during the type switching process can be analyzed to ensure that the equipment can get a good rest during the parameter adjustment process, thereby improving the service life of the equipment. Attached Figure Description

[0052] Figure 1 This is a flowchart of an intelligent manufacturing method for liquid-cooled connector components.

[0053] Figure 2 This is a flowchart of the intelligent manufacturing method for liquid-cooled connector components. Detailed Implementation

[0054] To make the purpose, technical solution, and advantages of this application clearer, the following is combined with Figures 1-2 The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.

[0055] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0056] This application discloses an intelligent manufacturing method for liquid-cooled connector components, referring to... Figure 1 The intelligent manufacturing process for liquid-cooled connector components includes the following steps:

[0057] Step S100: Obtain orders waiting to be processed, wherein the orders waiting to be processed include the type of product to be produced and the quantity of product to be produced.

[0058] Orders awaiting processing, i.e. orders scheduled for production, are entered from the external port. They include the type of product to be produced and the quantity of products to be produced. The type of product to be produced refers to the model of the liquid cooling connector component, and the quantity of products to be produced refers to the number of parts that need to be produced.

[0059] Step S101: Randomly select any number of production product types on each preset processing equipment and randomly sort them to construct individual production plans, and combine all individual production plans to construct an overall production plan.

[0060] The processing equipment refers to the equipment used to produce and process liquid-cooled connector components. Generally, only a lathe is needed. By randomly selecting the type and quantity and sorting them, a single production plan for processing parts using a single processing equipment can be obtained. The overall production plan is the plan for processing all pending orders obtained by combining all individual production plans. In other words, the overall production plan can only be determined when all individual production plans can be combined to process pending orders.

[0061] Step S102: Under the single-unit production plan, calculate the product production time based on the quantity of each type of product and the corresponding preset unit processing time.

[0062] Unit processing time is the time required to process a single part of a single production product type. Product production time is the time required to process all parts of a selected single production product type under a single production plan, and is determined by multiplying the quantity of the product by the unit processing time.

[0063] Step S103: Under the single-unit production plan, determine the equipment adjustment time based on the sequentially adjacent production product types.

[0064] The equipment adjustment time is the time required for the processing equipment to adjust from the processing parameters of the current product type to the processing parameters of the next product type. It can be determined in advance from a database based on the required equipment adjustment time between the two types, or it can be determined according to steps S300-S303.

[0065] Step S104: Calculate the planned completion time for each product type and the overall completion time based on the production time of all products and the equipment adjustment time.

[0066] The completion schedule duration is the time required for the last part of a single product type to be completed, while the overall completion duration is the time required for all processing equipment to stop operating to complete the processing of all parts.

[0067] Step S105: Define the overall production plan in which the completion time of each plan is less than the corresponding preset upper limit requirement as an effective production plan, and analyze and determine the efficiency production plan based on the overall completion time in the effective production plan, and output the efficiency production plan to the preset management terminal.

[0068] The upper limit required time is the latest delivery time allowed for each type of part in the production process, which is entered synchronously by the staff as they follow the orders waiting to be processed. By defining effective production plans, we can distinguish the overall production plans that meet the production requirements, which is convenient for subsequent analysis. The efficiency production plan is the plan with the highest production efficiency for all parts. It can determine the effective production plan with the minimum overall completion time, or it can be determined by the method in steps S500-S503. By outputting the efficiency production plan to the management terminal, the management staff can determine the production schedule, which is convenient for the high-efficiency production of liquid-cooled connector parts.

[0069] Once an effective production plan is determined, the intelligent manufacturing method for liquid-cooled connector components also includes:

[0070] Step S200: Calculate the difference between the planned completion time and the corresponding upper limit required time to determine the advance time of the plan.

[0071] The planned lead time, which is the time required for each type of part to be completed ahead of schedule, is determined by subtracting the planned completion time from the upper limit required time.

[0072] Step S201: Determine the individual evaluation value corresponding to the advance planning time based on the preset evaluation matching relationship.

[0073] The unit evaluation value reflects the benefits of completing a part ahead of schedule. The longer the planned lead time, the higher the unit evaluation value, which means that the solution is better for this type of product. The evaluation matching relationship between the two is determined by the staff through multiple tests in advance, which will not be elaborated here.

[0074] Step S202: Calculate the overall evaluation value based on all individual evaluation values, and eliminate valid production plans whose overall evaluation value is less than the preset demand evaluation value.

[0075] The overall evaluation value is the sum of all individual evaluation values, while the demand evaluation value is the minimum overall evaluation value set by the staff to ensure that all parts can be processed well. Valid production plans with an overall evaluation value less than the demand evaluation value are eliminated to improve the accuracy of plan determination.

[0076] The steps for determining equipment setup time based on sequentially adjacent product types under a single-unit production plan include:

[0077] Step S300: Under the single-unit production scheme, adjacent production product types are combined in sequence to construct adjacent type combinations.

[0078] By constructing adjacent type combinations, the production product types with adjacent processing sequences can be identified and determined, which facilitates subsequent analysis.

[0079] Step S301: Construct a historical interval on the preset timeline with the current time point as the end point and the width as the preset historical duration, and determine the historical preparation duration under the historical interval based on the combination of adjacent types.

[0080] The time axis is a coordinate axis formed by the combination of various time points. This coordinate axis points from the time points that have been passed to the time points that have not yet been reached. The time points that have been passed are on the left side of the coordinate axis, and the left side of the coordinate axis is defined as the front side of the time axis. The historical duration is the market since the liquid-cooled connector parts were put into production, as set by the staff. By constructing historical intervals, it is possible to acquire and analyze data within the historical duration. The historical preparation time is the actual adjustment time of adjacent combination of parts under historical conditions.

[0081] Step S302: Randomly select a historical maintenance duration and construct a similar maintenance interval based on a preset similar duration. Then, count the items within the similar maintenance interval based on the historical maintenance duration to determine the quantity within the interval.

[0082] The "similar duration" is the maximum difference allowed when two duration data are considered to be relatively similar, as set by the staff. The similar duration is added to and subtracted from the historical maintenance duration to construct the similar maintenance interval. At this time, the data in the similar maintenance interval is close to the historical maintenance duration that constructed the interval. The number within the interval is the number of historical maintenance durations whose values ​​are within the similar maintenance interval.

[0083] Step S303: Define the maintenance cluster interval corresponding to the largest number of internal intervals as the maintenance cluster interval, and calculate and analyze the historical maintenance duration within the maintenance cluster interval to determine the equipment adjustment duration.

[0084] The largest number within the interval indicates that the data in the corresponding close-range maintenance interval is the most concentrated, which is the most representative of the general adjustment situation under the adjacent type combination. Therefore, it is defined as the maintenance concentration interval to identify different close-range maintenance intervals. At this time, the historical maintenance duration in the maintenance concentration interval can be used to determine a more accurate equipment adjustment duration. This determination method can be calculated by averaging all the data in the interval, or it can be determined by the method in steps S400-S404.

[0085] The steps for determining equipment adjustment time based on historical preparation time within the concentrated preparation period include:

[0086] Step S400: Randomly generate a simulated adjustment duration within the maintenance concentration interval, and determine the simulated interval duration based on the simulated adjustment duration and each historical maintenance duration.

[0087] By randomly determining the simulation adjustment duration, we can analyze the data within the maintenance concentration interval; the simulation interval is the numerical value between the simulation adjustment duration and the historical maintenance duration.

[0088] Step S401: Determine the actual adjustment time based on the equipment adjustment time within the historical interval, and calculate the predicted interval based on the actual adjustment time and the corresponding equipment adjustment time.

[0089] The actual adjustment time is the actual time taken to adjust the processing parameters of the processing equipment when adjacent type combinations occur in the historical interval. The predicted interval is the deviation of the predicted equipment adjustment time. It is determined by calculating the difference between the actual adjustment time and the corresponding equipment adjustment time. This value is an absolute value.

[0090] Step S402: Determine the first individual coefficient corresponding to the simulated interval duration according to the preset interval matching relationship, and calculate the first evaluation coefficient based on all the first individual coefficients.

[0091] The first individual coefficient is a parameter value that reflects the feasibility of adjusting the simulation time under the current simulation interval. The smaller the simulation interval, the larger the corresponding first individual coefficient, that is, the greater the feasibility. The interval matching relationship between the two is determined in advance by the staff. The first evaluation coefficient is the average value of all the first individual coefficients.

[0092] Step S403: Under a single simulated interval duration, count according to the same predicted interval duration to determine the historical equivalent quantity, and determine the second individual coefficient corresponding to the historical equivalent quantity according to the preset equivalent matching relationship, and calculate the second evaluation coefficient based on all the second individual coefficients.

[0093] The historical equivalent quantity is the number of predicted intervals that appear in the historical interval and are the same as the simulated interval. The second individual coefficient is a parameter value that reflects the feasibility of adjusting the simulation interval after considering the deviation between the actual and the predicted in the historical case. The larger the historical equivalent quantity, the larger the corresponding second individual coefficient. The equivalent matching relationship between the two is determined in advance by the staff. The second evaluation coefficient is the average value of all the second individual coefficients.

[0094] Step S404: Calculate the overall evaluation coefficient based on the first evaluation coefficient and the second evaluation coefficient, and determine the simulation adjustment time corresponding to the largest overall evaluation coefficient as the equipment adjustment time.

[0095] By adding the first evaluation coefficient to the second evaluation coefficient, we can obtain an overall evaluation coefficient that reflects whether the simulation adjustment time is reasonable. The larger the value, the more appropriate the corresponding simulation adjustment time. Therefore, the simulation adjustment time corresponding to the largest overall evaluation coefficient can be determined as the equipment adjustment time.

[0096] The steps for determining an efficient production plan based on the overall completion time in an effective production plan include:

[0097] Step S500: Under the effective production plan, determine the equipment load pressure when switching between product types based on the production plan of each unit.

[0098] Equipment load pressure is the value of equipment fatigue during processing. After processing equipment processes a type of part according to a single production plan, the equipment will experience fatigue. The fatigue value given to the equipment is different for each type of part. Therefore, the equipment load pressure can be determined by multiplying the fatigue value by the required production quantity.

[0099] Step S501: Determine the equipment adjustment time and the corresponding rest adjustment pressure based on the preset rest matching relationship, and correct and update the load pressure of each equipment based on the rest adjustment pressure.

[0100] The rest adjustment pressure is the pressure value that the processing equipment can release after a rest period of adjustment when it is under equipment load pressure. The rest matching relationship between the three is determined by the staff in advance through multiple tests. The pressure of the current processing equipment before the next type of part is processed can be obtained by subtracting the rest adjustment pressure from the equipment load pressure. When the subtraction value is the load, the pressure value is 0.

[0101] Step S502: Define the equipment load pressure before production of each product type as the initial load pressure, determine the individual advantage coefficient corresponding to the initial load pressure according to the preset advantage matching relationship, and calculate the scheme advantage coefficient based on all individual advantage coefficients.

[0102] The initial load pressure is the equipment load pressure before the production of parts of the product type, which is also the adjusted equipment load pressure mentioned above. The individual advantage coefficient is a parameter value that reflects the suitability of the pressure when the processing equipment starts to operate. The smaller the initial load pressure, the larger the corresponding individual advantage coefficient. The advantage matching relationship between the two is determined by the staff in advance through multiple tests. The scheme advantage coefficient is the average value of the individual advantage coefficients determined for all types of parts.

[0103] Step S503: Calculate the scheme selection coefficient based on the overall completion time and the scheme advantage coefficient, and determine the effective production scheme corresponding to the scheme selection coefficient with the largest coefficient as the efficient production scheme.

[0104] The scheme selection coefficient, which reflects the rationality of the scheme, can be determined by dividing the scheme advantage coefficient by the overall completion time. The larger the scheme selection coefficient, the more reasonable the corresponding effective production scheme. Therefore, the effective production scheme corresponding to the largest scheme selection coefficient can be identified as the efficient production scheme.

[0105] After the selection coefficients for the proposed solutions are determined, the intelligent manufacturing method for liquid-cooled joint components also includes:

[0106] Step S600: Determine whether there are at least two effective production plans with the same and largest selection coefficients.

[0107] The purpose of this judgment is to determine whether there are multiple valid production solutions that meet the requirements, so as to identify and distinguish the unique efficient production solution.

[0108] Step S6001: If there are no at least two effective production schemes with the same and largest selection coefficients, then the effective production scheme corresponding to the scheme with the largest selection coefficient is determined as the efficient production scheme.

[0109] When there are no at least two efficient production schemes with the same and largest selection coefficients, it means that there is only one efficient production scheme that meets the requirements, so it can be defined as an efficient production scheme.

[0110] Step S6002: If there are at least two effective production schemes with the same and largest selection coefficient, then the effective production scheme corresponding to the largest selection coefficient is defined as the alternative production scheme.

[0111] When there are at least two valid production plans with the same and largest selection coefficient, it indicates that there are multiple valid production plans that meet the requirements. In this case, they are defined as alternative production plans for identification and differentiation, which facilitates subsequent analysis.

[0112] Step S601: Under the alternative production plan, count the number of units with insufficient advantages based on the individual advantage coefficients that are less than the preset benchmark advantage coefficient to determine the number of units with insufficient advantages.

[0113] The baseline advantage coefficient is the maximum single-unit advantage coefficient allowed when the individual unit advantage coefficient set by the staff is small. The situation of each type of part is determined by determining the number of insufficient advantages.

[0114] Step S602: Determine the alternative production plan corresponding to the smallest number of disadvantages as the efficient production plan.

[0115] The smallest number of advantages and disadvantages indicates that the overall production effect is the best among the corresponding alternative production plans, so it can be identified as the efficient production plan.

[0116] Reference Figure 2 Based on the same inventive concept, embodiments of the present invention provide an intelligent production system for liquid-cooled connector components, comprising:

[0117] The acquisition module is used to acquire orders waiting to be processed, which include the type of product to be produced and the quantity of product to be produced.

[0118] The processing module, connected to the acquisition module, is used for information storage and processing;

[0119] The processing module randomly selects any number of production product types on each preset processing equipment and randomly sorts them to construct individual production plans. It then combines all the individual production plans to construct an overall production plan.

[0120] Under the single-unit production plan, the processing module calculates and determines the product production time based on the quantity of each type of product and the corresponding preset unit processing time.

[0121] The processing module determines the equipment adjustment time based on the sequentially adjacent product types under the single-unit production plan;

[0122] The processing module calculates the planned completion time for each product type and the overall completion time based on the production time of all products and the equipment adjustment time.

[0123] The processing module defines an overall production plan in which the completion time of each plan is less than the corresponding preset upper limit requirement as an effective production plan. It then analyzes and determines an efficient production plan based on the overall completion time within the effective production plan and outputs the efficient production plan to the preset management terminal.

[0124] The effective production plan elimination module is used to eliminate some effective production plans with poor evaluation, thereby reducing the amount of subsequent data analysis.

[0125] The equipment adjustment duration determination module is used to determine the equipment adjustment duration;

[0126] The equipment adjustment time precision module is used to precisely adjust the equipment adjustment time.

[0127] The efficiency production plan determination module is used to determine the efficiency production plan;

[0128] The efficiency production solution screening module is used to screen multiple efficiency production solutions that meet the requirements.

[0129] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

Claims

1. A liquid cooling connector component intelligent production method, characterized in that, include: Retrieve pending orders, which include the type and quantity of products to be produced. Randomly select any number of product types on each preset processing equipment and sort them to construct individual production plans. Combine all individual production plans to construct an overall production plan. The individual production plan is a plan for processing parts on a single processing equipment obtained by randomly selecting and sorting the product types and quantities. Under the single-unit production plan, the production time of each product type is calculated based on the quantity of each product and the corresponding preset unit processing time. Under a single-unit production plan, the equipment adjustment time is determined based on the sequentially adjacent product types. The completion schedule and overall completion time for each product type are calculated based on the production time of all products and the equipment adjustment time. The overall production plan in which the completion time of each plan is less than the corresponding preset upper limit requirement is defined as an effective production plan. The effective production plan is then analyzed based on the overall completion time to determine the efficiency production plan, and the efficiency production plan is output to the preset management terminal. The steps for determining equipment setup time based on sequentially adjacent product types under a single-unit production plan include: In a single-unit production scheme, adjacent product types are combined in sequence to construct adjacent type combinations; Construct a historical interval on a preset timeline with the current time point as the endpoint and a width of a preset historical duration, and determine the historical preparation duration based on the combination of adjacent types within the historical interval; A historical maintenance duration is randomly selected and a similar maintenance interval is constructed based on a preset similar duration. The number of items within the similar maintenance interval is determined by counting based on the historical maintenance duration. The two endpoints of the similar maintenance interval are determined by adding and subtracting the similar duration from the historical maintenance duration, respectively. The interval with the largest number of similar equipment is defined as the equipment concentration interval, and the equipment adjustment time is determined by calculation and analysis based on the historical equipment adjustment time within the equipment concentration interval.

2. The liquid-cooled joint component intelligent production method according to claim 1, wherein, Once an effective production plan is determined, the intelligent manufacturing method for liquid-cooled connector components also includes: The difference between the planned completion time and the corresponding upper limit required time is used to determine the advance plan time; The individual evaluation value corresponding to the advance planning time is determined based on the preset evaluation matching relationship; The overall evaluation value is determined by calculating all individual evaluation values, and valid production plans with an overall evaluation value lower than the preset demand evaluation value are eliminated.

3. The liquid-cooled connector component intelligent production method of claim 2, wherein, The steps for determining equipment adjustment time based on historical preparation time within the concentrated preparation period include: A simulated adjustment duration is randomly generated within the maintenance concentration interval, and the simulated interval duration is determined based on the simulated adjustment duration and the historical maintenance durations. The actual adjustment time is determined based on the equipment adjustment time within the historical interval, and the predicted interval is determined based on the actual adjustment time and the corresponding equipment adjustment time. The first individual coefficient corresponding to the simulated interval duration is determined based on the preset interval matching relationship, and the first evaluation coefficient is determined based on all the first individual coefficients. Under a single simulated interval duration, the same predicted interval duration is used to count to determine the historical equivalent quantity, and the second individual coefficient corresponding to the historical equivalent quantity is determined according to the preset equivalent matching relationship, and the second evaluation coefficient is determined based on all the second individual coefficients; The overall evaluation coefficient is determined by calculating based on the first evaluation coefficient and the second evaluation coefficient, and the simulation adjustment time corresponding to the largest overall evaluation coefficient is determined as the equipment adjustment time. The overall evaluation coefficient is a coefficient that reflects whether the simulation adjustment time is reasonable.

4. The liquid-cooled joint component intelligent production method of claim 1, wherein, The steps for determining an efficient production plan based on the overall completion time in an effective production plan include: Under an effective production plan, determine the equipment load pressure when switching between different product types based on the production plan of each individual unit; The equipment adjustment time and the corresponding rest adjustment pressure are determined according to the preset rest matching relationship, and the load pressure of each equipment is corrected and updated according to the rest adjustment pressure. The equipment load pressure before production of each product type is defined as the initial load pressure, and the individual advantage coefficient corresponding to the initial load pressure is determined according to the preset advantage matching relationship. The scheme advantage coefficient is determined by calculating based on all the individual advantage coefficients. The selection coefficient is determined by calculating the overall completion time and the advantage coefficient of the scheme, and the effective production scheme corresponding to the scheme with the largest selection coefficient is determined as the efficient production scheme.

5. The liquid-cooled connector component intelligent production method of claim 4, wherein, After the selection coefficients for the proposed solutions are determined, the intelligent manufacturing method for liquid-cooled joint components also includes: Determine whether there exists an efficient production plan with at least two options having the same and largest selection coefficient. If there are no at least two efficient production schemes with the same and largest selection coefficient, then the efficient production scheme corresponding to the scheme with the largest selection coefficient is determined as the efficient production scheme. If there are at least two effective production plans with the same and largest selection coefficient, then the effective production plan corresponding to the largest selection coefficient is defined as the alternative production plan. Under alternative production plans, the number of units with insufficient advantages is determined by counting those with an advantage coefficient that is less than the preset baseline advantage coefficient. The alternative production plan corresponding to the smallest number of shortcomings is determined as the efficient production plan.

6. A liquid cooling connector component intelligent production system for implementing the liquid cooling connector component intelligent production method according to any one of claims 1-5, characterized in that, include: The acquisition module is used to acquire orders waiting to be processed, which include the type of product to be produced and the quantity of product to be produced. The processing module, connected to the acquisition module, is used for information storage and processing; The processing module randomly selects any number of production product types on each preset processing equipment and randomly sorts them to construct individual production plans. It then combines all the individual production plans to construct an overall production plan. Under the single-unit production plan, the processing module calculates and determines the product production time based on the quantity of each type of product and the corresponding preset unit processing time. The processing module determines the equipment adjustment time based on the sequentially adjacent product types under the single-unit production plan; The processing module calculates the planned completion time for each product type and the overall completion time based on the production time of all products and the equipment adjustment time. The processing module defines the overall production scheme in which each of the completion plan time lengths is less than the corresponding preset upper limit requirement time length as an effective production scheme, analyzes and determines an efficiency production scheme in the effective production scheme according to the overall completion time length, and outputs the efficiency production scheme to the preset management end.

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