An intelligent management method and system based on piston rod production

Abstract

The application relates to an intelligent management method and system based on piston rod production, and relates to the field of intelligent management technology. The method comprises the following steps: acquiring processing steel rod types and corresponding steel rod processing quantities; according to each centerless grinding machine, a processing steel rod type with a random selection simulation processing quantity is selected, a single processing scheme and an overall processing scheme are determined; under the single processing scheme, each processing steel rod type is randomly sorted to determine a simulation processing sequence, and data analysis is performed to determine a grinding completion time; under the overall processing scheme, a type completion time is determined, and according to an efficiency matching relationship, a type efficiency parameter corresponding to the type completion time is determined; the overall processing scheme and the simulation processing sequence are combined to construct an available production scheme, and the available production scheme corresponding to the largest type efficiency parameter is defined as an actual production scheme, and each steel rod is produced and managed according to the actual production scheme. The application has the effect of improving the overall processing efficiency of the piston rod.

Description

Technical Field

[0001] This application relates to the field of intelligent management technology, and in particular to an intelligent management method and system based on piston rod production. Background Technology

[0002] As a key transmission component in hydraulic, pneumatic, and engineering machinery fields, the manufacturing precision of the piston rod directly affects the performance and service life of the entire machine. In the typical manufacturing process of piston rods, the steel rod material needs to undergo centerless grinding before machining begins to remove surface oxide scale, improve cylindricity, and obtain a predetermined surface roughness. This process serves as the basis for subsequent precision machining and plays a decisive role in ensuring the final surface quality and dimensional stability of the piston rod.

[0003] Currently, in order to ensure the pretreatment of steel bar materials, staff will set the corresponding centerless grinding machine parameters according to the outer diameter and length-to-diameter ratio of the steel bar, thereby realizing the processing of the product.

[0004] However, with the increasing market demand for customized and diversified products, piston rod manufacturing exhibits significant production characteristics of "small batches, multiple batches, and multiple varieties." Different batches and specifications of piston rods require different steel rod materials, and the outer diameter and length-to-diameter ratio of each steel rod material often vary. To meet current piston rod manufacturing requirements, frequent adjustments to the centerless grinding machine parameters are necessary, leading to reduced equipment utilization and lower overall processing efficiency, indicating room for improvement. Summary of the Invention

[0005] To improve the overall processing efficiency of piston rods, this application provides an intelligent management method and system based on piston rod production.

[0006] Firstly, this application provides an intelligent management method based on piston rod production, employing the following technical solution: A smart management method based on piston rod production includes: Obtain the type of steel bar to be processed and the corresponding quantity of steel bars to be processed; The grinding outer diameter and grinding length of the steel bar are determined according to the type of steel bar being processed, and the initial grinding outer diameter of each centerless grinder is obtained. For each centerless grinder, the type of steel bar to be processed is randomly selected to simulate the number of steel bars to be processed. The individual processing schemes are then combined according to the individual processing schemes to determine the overall processing scheme. The sum of all simulated processing quantities for a single steel bar type is the number of steel bars to be processed. Under the single-unit processing scheme, the types of steel bars to be processed are randomly sorted to determine the simulated processing sequence. Based on the simulated processing sequence, the initial grinding outer diameter, the grinding outer diameter of the steel bar, and the grinding length of the steel bar, data analysis is performed to determine the grinding completion time of each type of steel bar. Under the overall processing plan, the grinding completion time of each type of steel bar on each centerless grinder is analyzed and determined, and the type efficiency parameters corresponding to the type completion time are determined according to the preset efficiency matching relationship. The overall processing plan and the simulated processing sequence are combined to construct a usable production plan. The usable production plan corresponding to the highest type efficiency parameter is defined as the actual production plan, and production management is carried out on each steel bar according to the actual production plan.

[0007] Optionally, the steps to determine the grinding completion time for each type of steel bar by analyzing data based on the simulated machining sequence, initial grinding outer diameter, steel bar grinding outer diameter, and steel bar grinding length include: The grinding time of the steel bar is determined by calculation based on the grinding length of the steel bar, the simulated processing quantity, the preset feeding interval length, and the preset grinding feeding speed. The equipment adjustment width is determined based on the simulated processing sequence, the initial grinding outer diameter, and the grinding outer diameter of the steel bar to determine the adjacent types of processed steel bars; The device adjustment time corresponding to the device adjustment width is determined based on the preset adjustment matching relationship; For each type of steel bar being processed, a specific processing time window is defined according to the simulated processing sequence. Within the specific processing time window, the grinding time is calculated by summing the steel bar grinding time and the equipment adjustment time.

[0008] Optionally, after the grinding time of the steel bar is determined, the intelligent management method based on piston rod production also includes: The required processing time for each type of steel bar is determined by calculating the quantity of steel bars processed and the grinding length of the steel bars. The single-batch baseline coefficient corresponding to the type requirement duration is determined based on the preset baseline matching relationship, and the single-batch baseline duration is calculated based on the type requirement duration and the single-batch baseline coefficient. Determine whether the grinding time of all steel bars is greater than the corresponding single-batch baseline time; If the grinding time of all steel bars is greater than the corresponding single batch reference time, the grinding completion time is calculated based on the grinding time of the steel bars. If the grinding time of all steel bars is not greater than the corresponding single-batch reference time, the current overall processing plan will be eliminated.

[0009] Optionally, after the grinding completion time is determined, the intelligent management method based on piston rod production also includes: The machining fatigue strength corresponding to the grinding time of the steel bar is determined based on the preset strength matching relationship; The fatigue rest level corresponding to the equipment adjustment time is determined based on the preset rest matching relationship; The fatigue of individual steel bars is determined by calculating the individual type fatigue based on the simulated processing sequence, processing fatigue intensity, and fatigue rest degree. The processing fatigue of the equipment is then determined by calculating the fatigue of all individual types. Simulated processing sequences where the equipment's processing fatigue exceeds the preset reasonable processing fatigue are eliminated.

[0010] Optionally, after the type efficiency parameters are determined, the intelligent management method based on piston rod production also includes: Determine if there are at least two available production solutions with the same and maximum efficiency parameters of the same type; If there are no two available production plans with the same and largest type efficiency parameters, then the available production plan corresponding to the largest type efficiency parameter is defined as the actual production plan. If there are at least two available production plans with the same and largest type efficiency parameter, then the available production plan corresponding to the largest type efficiency parameter is defined as the alternative production plan. Under the alternative production plans, the processing fatigue of each piece of equipment is calculated to determine the processing fatigue of the plan, and the alternative production plan with the minimum processing fatigue is defined as the actual production plan.

[0011] Optionally, after the processing fatigue of the solution is determined, the intelligent management method based on piston rod production also includes: Historical usage time was obtained for each centerless grinder; The fatigue resistance corresponding to the historical usage duration is determined based on the preset historical matching relationship; The appropriate coefficient for each individual component is determined by calculating the fatigue strength and the corresponding equipment processing fatigue. Then, the appropriate correction coefficient is determined by calculating all the appropriate coefficients for each individual component. Finally, the processing fatigue of the scheme is corrected and updated based on the appropriate correction coefficient.

[0012] Optionally, after the type efficiency parameters are determined, the intelligent management method based on piston rod production also includes: The working outer diameter of the equipment is obtained at each time point based on the centerless grinder. All equipment operating outer diameters are combined to construct available outer diameter combinations, and analysis is performed based on these available outer diameter combinations to determine outer diameter distribution evaluation parameters; The reasonable parameters for the distribution are determined by calculation based on the evaluation parameters of each outer diameter, and the type efficiency parameters are then corrected and updated based on the reasonable parameters for the distribution.

[0013] Secondly, this application provides an intelligent management system based on piston rod production, which adopts the following technical solution: An intelligent management system based on piston rod production includes: The acquisition module is used to acquire the type of steel bar to be processed and the corresponding quantity of steel bars to be processed. The processing module, connected to the acquisition module, is used for information storage and processing; The processing module determines the grinding outer diameter and grinding length of the steel bar based on the type of steel bar being processed, and enables the acquisition module to acquire the initial grinding outer diameter of each centerless grinder. The processing module randomly selects the type of steel bar to be processed for each centerless grinder, and combines each type of steel bar to determine the individual processing scheme. It then combines all the individual processing schemes to determine the overall processing scheme, where the sum of all the simulated processing quantities for a single steel bar type is the number of steel bars processed. The processing module randomly sorts the types of steel bars to be processed under the single processing scheme to determine the simulated processing sequence, and performs data analysis based on the simulated processing sequence, initial grinding outer diameter, steel bar grinding outer diameter and steel bar grinding length to determine the grinding completion time of each type of steel bar. Under the overall processing plan, the processing module analyzes and determines the type completion time based on the grinding completion time of each type of steel bar on each centerless grinder, and determines the type efficiency parameter corresponding to the type completion time based on the preset efficiency matching relationship. The processing module combines the overall processing plan and the simulated processing sequence to construct a usable production plan, and defines the usable production plan corresponding to the highest type efficiency parameter as the actual production plan, and manages the production of each steel bar according to the actual production plan.

[0014] In summary, this application includes at least one of the following beneficial technical effects: During piston rod processing, the processing tasks can be rationally allocated according to the type of piston rod steel bar material to be processed, thereby improving the overall processing efficiency of the piston rod. In the analysis of steel bar grinding schemes, the equipment parameters are adjusted to determine the equipment's rest time in order to reasonably control equipment fatigue and improve the overall service life of the equipment. The selected processing scheme ensures that the processing parameters of each device are distributed reasonably at each time point, and that when an urgent order comes in, the order can be processed without affecting the processing scheme. Attached Figure Description

[0015] Figure 1 This is a flowchart of an intelligent management method based on piston rod production.

[0016] Figure 2 This is a flowchart of a module based on an intelligent management method for piston rod production. Detailed Implementation

[0017] 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.

[0018] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0019] This application discloses an intelligent management method based on piston rod production, referring to... Figure 1 The method flow of the intelligent management approach based on piston rod production includes the following steps: Step S100: Obtain the type of steel bar to be processed and the corresponding number of steel bars to be processed.

[0020] The type of steel bar to be ground refers to the type of steel bar that needs to be ground, including parameters such as the outer diameter and length of the steel bar, which are manually entered by the operator; the quantity of steel bars to be ground refers to the number of steel bars of the type to be ground.

[0021] Step S101: Determine the outer diameter and grinding length of the steel bar according to the type of steel bar being processed, and obtain the initial grinding outer diameter of each centerless grinder.

[0022] The outer diameter of the steel bar being ground is the diameter of the steel bar, the grinding length of the steel bar is the length of the steel bar, and the initial grinding outer diameter is the diameter of the steel bar that can be ground before each centerless grinder starts operating.

[0023] Step S102: Randomly select the type of steel bar to be processed for each centerless grinder, and combine them according to each type of steel bar to determine the individual processing scheme. Combine all the individual processing schemes to determine the overall processing scheme. The sum of all the simulated processing quantities of a single steel bar type is the number of steel bars processed.

[0024] By selecting the number of steel bars to be processed in simulation for each centerless grinder, the required grinding is effectively allocated. The individual processing scheme is the operation scheme for the production and processing of a single centerless grinder, and the overall processing scheme can complete the grinding process of all the steel bars that need to be processed.

[0025] Step S103: Under the single-unit processing scheme, randomly sort the types of steel bars to determine the simulated processing sequence, and perform data analysis based on the simulated processing sequence, initial grinding outer diameter, steel bar grinding outer diameter and steel bar grinding length to determine the grinding completion time of each type of steel bar.

[0026] The simulated processing sequence is the processing sequence of the steel bars to be processed on a single centerless grinder. The grinding completion time is the total time required for a single centerless grinder to perform the grinding operation on the steel bars to be ground according to the simulated processing sequence. For specific calculation and analysis methods, please refer to steps S200-S203.

[0027] Step S104: Under the overall processing plan, analyze and determine the type completion time based on the grinding completion time of each type of steel bar on each centerless grinder, and determine the type efficiency parameter corresponding to the type completion time based on the preset efficiency matching relationship.

[0028] The type completion time is the time required to complete the processing of all steel bars of a single processing type; the type efficiency parameter is a parameter reflecting the processing efficiency. The larger the parameter, the higher the efficiency. The efficiency matching relationship between the two is determined in advance by the staff, and it is necessary to ensure that the larger the type completion time, the smaller the corresponding type efficiency parameter.

[0029] Step S105: Combine the overall processing plan and the simulated processing sequence to construct a usable production plan, and define the usable production plan corresponding to the largest type efficiency parameter as the actual production plan, and manage the production of each steel bar according to the actual production plan.

[0030] The available production plans are constructed to determine the specific production plan. At this point, the highest type efficiency parameter indicates that the corresponding available production plan has the highest efficiency in processing the current batch of steel bars. Therefore, it is defined as the actual production plan to distinguish between different plans. At this point, the production management of steel bars can be carried out according to the plan, thereby improving the efficiency of the grinding step in the piston rod processing and improving its overall production efficiency.

[0031] The steps for determining the grinding completion time for each type of steel bar based on data analysis of the simulated machining sequence, initial grinding outer diameter, grinding outer diameter of the steel bar, and grinding length of the steel bar include: Step S200: Calculate and determine the grinding time of the steel bar based on the grinding length of the steel bar, the simulated processing quantity, the preset feeding interval length, and the preset grinding feeding speed.

[0032] The feeding interval length is the distance between two steel bars on the conveyor belt of the centerless grinder. The grinding feed speed is the speed at which the conveyor belt moves. Both are determined by the operator before production. The steel bar grinding time is the time required to complete the processing of a simulated number of steel bars of a single type. The total length that the conveyor belt needs to move can be calculated by the steel bar grinding length, the simulated processing quantity, and the feeding interval length. The total length is then divided by the grinding feed speed to determine the steel bar grinding time.

[0033] Step S201: Determine the equipment adjustment width for adjacent steel bar types based on the simulated machining sequence, initial grinding outer diameter, and steel bar grinding outer diameter.

[0034] The width adjustment of the equipment is the width required for grinding the next type of steel bar after the previous type of steel bar has been ground, when the centerless grinder is processing according to the simulated processing sequence. This width adjustment is determined by the difference in the outer diameter between the two grinding operations.

[0035] Step S202: Determine the device adjustment time corresponding to the device adjustment width according to the preset adjustment matching relationship.

[0036] The equipment adjustment time is the time required for the centerless grinder to adjust the width. The equipment adjustment time varies depending on the width of the adjustment. The matching relationship between the two is determined by the staff through multiple tests in advance.

[0037] Step S203: Under each type of steel bar being processed, a specific processing time window is defined according to the simulated processing sequence. Within the specific processing time window, the grinding time of the steel bar and the equipment adjustment time are summed to determine the grinding completion time.

[0038] The specific processing time window is the time interval from when the equipment starts processing to when the processing of the steel bar type is completed. The sum of the grinding time of each steel bar and the equipment adjustment time within the specific processing time window is the time required to complete the processing of the current type of steel bar, which is also the grinding completion time.

[0039] Once the grinding time for the steel bar is determined, the intelligent management method for piston rod production also includes: Step S300: Calculate the required time based on the number of steel bars to be processed and the grinding length of the steel bars.

[0040] The type requirement time is the total time required to process a single type of steel bar, which can be determined using the method described in step S200 above.

[0041] Step S301: Determine the single-batch baseline coefficient corresponding to the type requirement duration based on the preset baseline matching relationship, and calculate the single-batch baseline duration based on the type requirement duration and the single-batch baseline coefficient.

[0042] The single-batch baseline coefficient is the minimum percentage that needs to be allocated to a single piece of equipment. The larger the type requirement time, the larger the quantity. In this case, it is more necessary to allocate different equipment for processing to meet the delivery requirements. The baseline matching relationship between the two is determined in advance by the staff. The larger the type requirement time, the smaller the single-batch baseline coefficient. The single-batch baseline time is the minimum processing time required by a single piece of equipment, which is determined by multiplying the type requirement time by the single-batch baseline coefficient.

[0043] Step S302: Determine whether the grinding time of all steel bars is greater than the corresponding single batch reference time.

[0044] The purpose of the assessment is to determine whether there is an unreasonable allocation of steel bars to some equipment.

[0045] Step S3021: If the grinding time of all steel bars is greater than the corresponding single batch reference time, the grinding completion time is calculated based on the grinding time of the steel bars.

[0046] When the grinding time of all steel bars is greater than the corresponding single-batch benchmark time, it means that the steel bar allocation is reasonable, and normal data analysis can be performed at this time.

[0047] Step S3022: If the grinding time of all steel bars is not greater than the corresponding single batch reference time, then the current overall processing plan is eliminated.

[0048] If the grinding time of all steel bars is not greater than the corresponding single-batch benchmark time, it indicates that there is an unreasonable distribution of steel bars. In this case, the scheme is not meaningful for analysis, so the corresponding overall processing scheme can be eliminated.

[0049] Once the grinding completion time is determined, intelligent management methods for piston rod production also include: Step S400: Determine the machining fatigue strength corresponding to the grinding time of the steel bar according to the preset strength matching relationship.

[0050] The machining fatigue strength is the fatigue value generated by the continuous grinding time of a steel bar on a centerless grinder. The longer the grinding time of the steel bar, the greater the corresponding machining fatigue strength. The strength matching relationship between the two is determined in advance by the operator.

[0051] Step S401: Determine the fatigue rest level corresponding to the equipment adjustment time based on the preset rest matching relationship.

[0052] Fatigue rest level reflects the fatigue reduction that can be achieved during the equipment width adjustment process. The longer the equipment adjustment time, the greater the corresponding fatigue rest level. The rest matching relationship between the two is also determined in advance by the staff.

[0053] Step S402: Calculate the individual fatigue type of each processed steel bar type based on the simulated processing sequence, processing fatigue strength, and fatigue rest degree, and calculate the equipment processing fatigue based on all individual fatigue types.

[0054] Individual fatigue refers to the fatigue value that the equipment experiences during the processing of a single type of steel bar. It can be determined by averaging all fatigue values. When the processing fatigue intensity after the previous type of processing is less than the fatigue rest degree corresponding to the equipment adjustment time, the fatigue at the start of the next type of processing is considered to be 0. The equipment processing fatigue is the average value of all individual fatigue types.

[0055] Step S403: Eliminate simulated processing sequences where the equipment processing fatigue exceeds the preset reasonable processing fatigue.

[0056] Reasonable processing fatigue is the minimum equipment processing fatigue that the staff sets when the perceived equipment fatigue strength significantly affects processing. When the equipment processing fatigue exceeds the reasonable processing fatigue, it indicates that the equipment fatigue is severe, which is not conducive to the implementation of the plan. Therefore, the corresponding simulated processing sequence is eliminated to reduce invalid data analysis and exclude the selection of invalid plans.

[0057] Once the type efficiency parameters are determined, the intelligent management method based on piston rod production also includes: Step S500: Determine whether there are at least two available production plans with the same and largest efficiency parameters.

[0058] The purpose of this judgment is to determine whether there are multiple available production plans that meet the requirements, so as to determine the only actual production plan.

[0059] Step S5001: If there are no at least two available production schemes with the same and largest type efficiency parameters, then the available production scheme corresponding to the largest type efficiency parameter is defined as the actual production scheme.

[0060] When there are no at least two available production plans with the same and largest efficiency parameters, it means that there is only one available production plan that meets the requirements. In this case, it can be defined as the actual production plan.

[0061] Step S5002: If there are at least two available production plans with the same type efficiency parameter and the largest one, then the available production plan corresponding to the largest type efficiency parameter is defined as the alternative production plan.

[0062] When there are at least two available production plans with the same and largest efficiency parameters, it indicates that there are multiple available production plans that meet the requirements. In this case, alternative production plans are defined to identify and distinguish the different available production plans for subsequent analysis.

[0063] Step S501: Under the alternative production plan, calculate the processing fatigue of each piece of equipment to determine the processing fatigue of the plan, and define the alternative production plan with the minimum processing fatigue as the actual production plan.

[0064] The processing fatigue of a production plan is the average processing fatigue of all equipment. The minimum processing fatigue of a production plan indicates that the average processing intensity of each piece of equipment is the minimum under the corresponding production plan, which is more convenient for production. Therefore, the corresponding alternative production plan can be defined as the actual production plan.

[0065] After the processing fatigue of the solution is determined, the intelligent management method based on piston rod production also includes: Step S600: Obtain the historical usage time for each centerless grinder.

[0066] Historical usage time refers to the total usage time since the centerless grinder was put into use.

[0067] Step S601: Determine the fatigue strength corresponding to the historical usage time based on the preset historical matching relationship.

[0068] Fatigue strength refers to the current fatigue resistance value of the equipment. The shorter the historical usage time, the newer the equipment is and the better its fatigue strength. The historical matching relationship between the two is determined in advance by the staff and will not be elaborated here.

[0069] Step S602: Calculate the individual unit appropriate coefficient based on the fatigue strength and the corresponding equipment processing fatigue, calculate the appropriate correction coefficient based on all individual unit appropriate coefficients, and correct and update the processing fatigue of the scheme based on the appropriate correction coefficient.

[0070] The individual suitability coefficient is a parameter value reflecting the suitability of the production intensity of a single processing equipment. The greater the fatigue resistance, the greater the processing fatigue that the equipment can withstand. In this case, the greater the processing fatigue, the more suitable the equipment is, and the larger the corresponding individual suitability coefficient. The suitability correction coefficient is the average of all individual suitability coefficients. By subtracting the suitability correction coefficient from the processing fatigue of the scheme, the processing fatigue of the scheme can be updated, thereby improving the accuracy and rationality of data analysis.

[0071] Once the type efficiency parameters are determined, the intelligent management method based on piston rod production also includes: Step S700: Obtain the working outer diameter of the equipment at each time point based on the centerless grinder.

[0072] The working outer diameter of the equipment refers to the outer diameter of the steel bar that the centerless grinder can process during operation. This data is not acquired when the centerless grinder is adjusting its width.

[0073] Step S701: Combine all the operating outer diameters of the equipment to construct a combination of available outer diameters, and analyze the combination of available outer diameters to determine the outer diameter distribution evaluation parameters.

[0074] Available outer diameter combinations refer to the combination of all equipment. The outer diameter distribution evaluation parameter is the parameter value used to evaluate the processing range of all current equipment. First, the required outer diameter range can be planned. When an outer diameter in the available outer diameter combination falls within the corresponding range, the corresponding range is scored. The evaluation value can be determined by adding the scores.

[0075] Step S702: Calculate and determine reasonable distribution parameters based on the evaluation parameters of each outer diameter distribution, and then correct and update the type efficiency parameters based on the reasonable distribution parameters.

[0076] The reasonable distribution parameter is the average value of the outer diameter distribution evaluation parameters at all time points. The larger the value, the more reasonable the corresponding scheme. At this time, adding the type efficiency parameter and the reasonable distribution parameter can make it possible to select a reasonable distribution scheme for use. If an urgent order comes in, it can be processed directly following the order of that batch, which has good scheme "flexibility".

[0077] Reference Figure 2 Based on the same inventive concept, embodiments of the present invention provide an intelligent management system based on piston rod production, comprising: The acquisition module is used to acquire the type of steel bar to be processed and the corresponding quantity of steel bars to be processed. The processing module, connected to the acquisition module, is used for information storage and processing; The processing module determines the grinding outer diameter and grinding length of the steel bar based on the type of steel bar being processed, and enables the acquisition module to acquire the initial grinding outer diameter of each centerless grinder. The processing module randomly selects the type of steel bar to be processed for each centerless grinder, and combines each type of steel bar to determine the individual processing scheme. It then combines all the individual processing schemes to determine the overall processing scheme, where the sum of all the simulated processing quantities for a single steel bar type is the number of steel bars processed. The processing module randomly sorts the types of steel bars to be processed under the single processing scheme to determine the simulated processing sequence, and performs data analysis based on the simulated processing sequence, initial grinding outer diameter, steel bar grinding outer diameter and steel bar grinding length to determine the grinding completion time of each type of steel bar. Under the overall processing plan, the processing module analyzes and determines the type completion time based on the grinding completion time of each type of steel bar on each centerless grinder, and determines the type efficiency parameter corresponding to the type completion time based on the preset efficiency matching relationship. The processing module combines the overall processing plan and the simulated processing sequence to construct a usable production plan, and defines the usable production plan corresponding to the highest type efficiency parameter as the actual production plan, and manages the production of each steel bar according to the actual production plan. The grinding completion time determination module is used to determine the grinding completion time. The overall processing scheme rejection module is used to reject some overall processing schemes that obviously do not meet the requirements; The simulated processing sequence rejection module is used to reject some simulated processing sequences that do not meet the requirements. The available production plan filtering module is used to filter multiple available production plans that meet the requirements; The solution processing fatigue update module is used to update the solution processing fatigue. The type efficiency parameter update module is used to update the type efficiency parameters.

[0078] 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. An intelligent management method based on piston rod production, characterized in that, include: Obtain the type of steel bar to be processed and the corresponding quantity of steel bars to be processed; The grinding outer diameter and grinding length of the steel bar are determined according to the type of steel bar being processed, and the initial grinding outer diameter of each centerless grinder is obtained. Based on each centerless grinder, the type of steel bar to be processed is randomly selected to simulate the number of steel bars to be processed. The individual processing scheme is determined by combining the steel bar types. The overall processing scheme is determined by combining all the individual processing schemes. The sum of all simulated processing quantities for a single steel bar type is the number of steel bars to be processed. Under the single-unit processing scheme, the types of steel bars to be processed are randomly sorted to determine the simulated processing sequence. Based on the simulated processing sequence, the initial grinding outer diameter, the grinding outer diameter of the steel bar, and the grinding length of the steel bar, data analysis is performed to determine the grinding completion time of each type of steel bar. Under the overall processing plan, the grinding completion time of each type of steel bar on each centerless grinder is analyzed and determined, and the type efficiency parameters corresponding to the type completion time are determined according to the preset efficiency matching relationship. The overall processing plan and the simulated processing sequence are combined to construct a usable production plan. The usable production plan corresponding to the highest type efficiency parameter is defined as the actual production plan, and production management is carried out on each steel bar according to the actual production plan.

2. The intelligent management method based on piston rod production according to claim 1, characterized in that, The steps for determining the grinding completion time for each type of steel bar based on data analysis of the simulated machining sequence, initial grinding outer diameter, grinding outer diameter of the steel bar, and grinding length of the steel bar include: The grinding time of the steel bar is determined by calculation based on the grinding length of the steel bar, the simulated processing quantity, the preset feeding interval length, and the preset grinding feeding speed. The equipment adjustment width is determined based on the simulated processing sequence, the initial grinding outer diameter, and the grinding outer diameter of the steel bar to determine the adjacent types of processed steel bars; The device adjustment time corresponding to the device adjustment width is determined based on the preset adjustment matching relationship; For each type of steel bar being processed, a specific processing time window is defined according to the simulated processing sequence. Within the specific processing time window, the grinding time is calculated by summing the steel bar grinding time and the equipment adjustment time.

3. The intelligent management method based on piston rod production according to claim 2, characterized in that, Once the grinding time for the steel bar is determined, the intelligent management method for piston rod production also includes: The required processing time for each type of steel bar is determined by calculating the quantity of steel bars processed and the grinding length of the steel bars. The single-batch baseline coefficient corresponding to the type requirement duration is determined based on the preset baseline matching relationship, and the single-batch baseline duration is calculated based on the type requirement duration and the single-batch baseline coefficient. Determine whether the grinding time of all steel bars is greater than the corresponding single-batch baseline time; If the grinding time of all steel bars is greater than the corresponding single batch reference time, the grinding completion time is calculated based on the grinding time of the steel bars. If the grinding time of all steel bars is not greater than the corresponding single-batch reference time, the current overall processing plan will be eliminated.

4. The intelligent management method based on piston rod production according to claim 3, characterized in that, Once the grinding completion time is determined, intelligent management methods for piston rod production also include: The machining fatigue strength corresponding to the grinding time of the steel bar is determined based on the preset strength matching relationship; The fatigue rest level corresponding to the equipment adjustment time is determined based on the preset rest matching relationship; The fatigue of individual steel bars is determined by calculating the individual type fatigue based on the simulated processing sequence, processing fatigue intensity, and fatigue rest degree. The processing fatigue of the equipment is then determined by calculating the fatigue of all individual types. Simulated processing sequences where the equipment's processing fatigue exceeds the preset reasonable processing fatigue are eliminated.

5. The intelligent management method based on piston rod production according to claim 4, characterized in that, Once the type efficiency parameters are determined, the intelligent management method based on piston rod production also includes: Determine if there are at least two available production solutions with the same and maximum efficiency parameters of the same type; If there are no two available production plans with the same and largest type efficiency parameters, then the available production plan corresponding to the largest type efficiency parameter is defined as the actual production plan. If there are at least two available production plans with the same and largest type efficiency parameter, then the available production plan corresponding to the largest type efficiency parameter is defined as the alternative production plan. Under the alternative production plans, the processing fatigue of each piece of equipment is calculated to determine the processing fatigue of the plan, and the alternative production plan with the minimum processing fatigue is defined as the actual production plan.

6. The intelligent management method based on piston rod production according to claim 5, characterized in that, After the processing fatigue of the solution is determined, the intelligent management method based on piston rod production also includes: Historical usage time was obtained for each centerless grinder; The fatigue resistance corresponding to the historical usage duration is determined based on the preset historical matching relationship; The appropriate coefficient for each individual component is determined by calculating the fatigue strength and the corresponding equipment processing fatigue. Then, the appropriate correction coefficient is determined by calculating all the appropriate coefficients for each individual component. Finally, the processing fatigue of the scheme is corrected and updated based on the appropriate correction coefficient.

7. The intelligent management method based on piston rod production according to claim 5, characterized in that, Once the type efficiency parameters are determined, the intelligent management method based on piston rod production also includes: The working outer diameter of the equipment is obtained at each time point based on the centerless grinder. All equipment operating outer diameters are combined to construct available outer diameter combinations, and analysis is performed based on these available outer diameter combinations to determine outer diameter distribution evaluation parameters; The reasonable parameters for the distribution are determined by calculation based on the evaluation parameters of each outer diameter, and the type efficiency parameters are then corrected and updated based on the reasonable parameters for the distribution.

8. An intelligent management system based on piston rod production, used to implement the intelligent management method based on piston rod production as described in any one of claims 1-7, characterized in that, include: The acquisition module is used to acquire the type of steel bar to be processed and the corresponding quantity of steel bars to be processed. The processing module, connected to the acquisition module, is used for information storage and processing; The processing module determines the grinding outer diameter and grinding length of the steel bar based on the type of steel bar being processed, and enables the acquisition module to acquire the initial grinding outer diameter of each centerless grinder. The processing module randomly selects the type of steel bar to be processed for each centerless grinder, and combines each type of steel bar to determine the individual processing scheme. It then combines all the individual processing schemes to determine the overall processing scheme, where the sum of all the simulated processing quantities for a single steel bar type is the number of steel bars processed. The processing module randomly sorts the types of steel bars to be processed under the single processing scheme to determine the simulated processing sequence, and performs data analysis based on the simulated processing sequence, initial grinding outer diameter, steel bar grinding outer diameter and steel bar grinding length to determine the grinding completion time of each type of steel bar. Under the overall processing plan, the processing module analyzes and determines the type completion time based on the grinding completion time of each type of steel bar on each centerless grinder, and determines the type efficiency parameter corresponding to the type completion time based on the preset efficiency matching relationship. The processing module combines the overall processing plan and the simulated processing sequence to construct a usable production plan, and defines the usable production plan corresponding to the highest type efficiency parameter as the actual production plan, and manages the production of each steel bar according to the actual production plan.

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