CN117025896A - Heat treatment system - Google Patents
Heat treatment system Download PDFInfo
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- CN117025896A CN117025896A CN202311005117.4A CN202311005117A CN117025896A CN 117025896 A CN117025896 A CN 117025896A CN 202311005117 A CN202311005117 A CN 202311005117A CN 117025896 A CN117025896 A CN 117025896A
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- 238000010438 heat treatment Methods 0.000 title claims abstract description 429
- 238000012545 processing Methods 0.000 claims abstract description 53
- 238000004891 communication Methods 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 60
- 230000008569 process Effects 0.000 claims description 53
- 238000012423 maintenance Methods 0.000 claims description 32
- 238000012216 screening Methods 0.000 claims description 16
- 238000010276 construction Methods 0.000 claims description 14
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000004519 manufacturing process Methods 0.000 claims description 10
- 239000000126 substance Substances 0.000 claims description 8
- 238000010801 machine learning Methods 0.000 claims description 4
- 238000012549 training Methods 0.000 claims description 4
- 238000005266 casting Methods 0.000 claims description 3
- 238000005520 cutting process Methods 0.000 claims description 3
- 238000005242 forging Methods 0.000 claims description 3
- 230000036314 physical performance Effects 0.000 claims description 3
- 238000003466 welding Methods 0.000 claims description 3
- 239000002184 metal Substances 0.000 description 13
- 230000000694 effects Effects 0.000 description 9
- 239000000463 material Substances 0.000 description 4
- 238000004321 preservation Methods 0.000 description 3
- 101100520231 Caenorhabditis elegans plc-3 gene Proteins 0.000 description 2
- 238000001816 cooling Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000010791 quenching Methods 0.000 description 2
- 230000000171 quenching effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000007769 metal material Substances 0.000 description 1
- 238000005496 tempering Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21D—MODIFYING THE PHYSICAL STRUCTURE OF FERROUS METALS; GENERAL DEVICES FOR HEAT TREATMENT OF FERROUS OR NON-FERROUS METALS OR ALLOYS; MAKING METAL MALLEABLE, e.g. BY DECARBURISATION OR TEMPERING
- C21D1/00—General methods or devices for heat treatment, e.g. annealing, hardening, quenching or tempering
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21D—MODIFYING THE PHYSICAL STRUCTURE OF FERROUS METALS; GENERAL DEVICES FOR HEAT TREATMENT OF FERROUS OR NON-FERROUS METALS OR ALLOYS; MAKING METAL MALLEABLE, e.g. BY DECARBURISATION OR TEMPERING
- C21D11/00—Process control or regulation for heat treatments
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- Control Of Heat Treatment Processes (AREA)
Abstract
The application relates to a heat treatment system, which comprises a heat treatment decision module, a heat treatment equipment set and a PLC (programmable logic controller), wherein the heat treatment decision module and the heat treatment equipment set are both in communication connection with the PLC; the heat treatment decision-making module is used for obtaining the heat treatment performance requirements of users and determining a heat treatment scheme by combining the use condition matching of the existing heat treatment equipment, so as to control the heat treatment equipment group and the PLC to set equipment parameters and heat treatment processing of workpieces. The application can effectively improve the heat treatment processing efficiency and the processing quality.
Description
Technical Field
The present application relates to the field of heat treatment, and more particularly, to a heat treatment system.
Background
Metal heat treatment is one of the important processes in machine fabrication, and in general, heat treatment does not change the shape and overall chemical composition of a workpiece as compared to other processing processes, but rather imparts or improves the performance of the workpiece by changing the microstructure within the workpiece, or changing the chemical composition of the surface of the workpiece. It is characterized by an improvement in the inherent quality of the workpiece, which is generally not visible to the naked eye. In order to provide the metal workpiece with the required mechanical, physical and chemical properties, heat treatment processes are often necessary in addition to the reasonable choice of materials and various forming processes.
The heat treatment process generally comprises three processes of heating, preserving heat and cooling, and sometimes only comprises two processes of heating and cooling. These processes are connected with each other without interruption. Heating is one of the important processes of heat treatment. The heating temperature varies depending on the metal material to be treated and the purpose of heat treatment, but is generally heated to a temperature above the phase transition temperature to obtain a high-temperature structure. In addition, a certain time is needed for transformation, so when the surface of the metal workpiece reaches the required heating temperature, the temperature is kept for a certain time, the internal temperature and the external temperature are consistent, and the microstructure is completely transformed, and the time is called heat preservation time. When high-energy density heating and surface heat treatment are adopted, the heating speed is extremely high, and the heat preservation time is generally short, and the heat preservation time of chemical heat treatment is often long. The metal heat treatment process can be largely classified into bulk heat treatment, surface heat treatment and chemical heat treatment. Different heat treatment processes are adopted for the same metal, so that different tissues can be obtained, and different performances are achieved.
In the conventional metal heat treatment, in order to improve the heat treatment performance, a plurality of actions are often required to be completed in a short time in a heat treatment furnace, for example, when quenching a metal workpiece in a vacuum furnace, six or seven actions are required to complete the quenching process of the metal workpiece within 15 seconds. The agile conditions can complete a plurality of actions, which easily cause tension of operators to form misoperation. Therefore, only high automation can accurately and timely coordinate the program. However, when the existing metal processing enterprises process metal heat treatment, workers often need to select heat treatment equipment according to own experience and manually set equipment parameters, and finally heat treatment processing is performed, so that time and labor are wasted, heat treatment processing performance is easy to be reduced due to experience, and metal heat treatment processing efficiency and processing quality are affected.
Disclosure of Invention
The application provides a heat treatment system, which aims to solve the problems that the existing metal heat treatment system is low in automation degree, a worker is required to select heat treatment equipment according to self experience and manually set equipment parameters, time and labor are wasted, and the metal heat treatment processing efficiency and the processing quality are affected.
In a first aspect, the present application provides a heat treatment system, which adopts the following technical scheme:
the heat treatment system comprises a heat treatment decision module, a heat treatment equipment set and a PLC controller, wherein the heat treatment decision module and the heat treatment equipment set are both in communication connection with the PLC controller; the heat treatment decision-making module is used for obtaining the heat treatment performance requirements of users and determining a heat treatment scheme by combining the use condition matching of the existing heat treatment equipment, so as to control the heat treatment equipment group and the PLC to set equipment parameters and heat treatment processing of workpieces.
Preferably, the heat treatment decision module is configured to obtain a heat treatment performance requirement of a user and determine a heat treatment scheme by matching with a use condition of an existing heat treatment device, so as to control a heat treatment device group and a PLC controller to set device parameters and perform heat treatment processing on a workpiece, and specifically includes the following steps:
the heat treatment decision module obtains performance requirement information input by a user to generate a requirement instruction, wherein the requirement instruction comprises a technological performance requirement and a use performance requirement, the technological performance requirement comprises one or more of a casting performance requirement, a forging performance requirement, a welding performance requirement, a cutting performance requirement, a forming performance requirement and a heat treatment technological performance requirement, and the use performance requirement comprises one or more of a mechanical performance requirement, a physical performance requirement and a chemical performance requirement;
the heat treatment decision-making module acquires the working state of the existing heat treatment equipment in the heat treatment equipment group in real time, wherein the working state comprises working, vacant centering and maintenance;
the heat treatment decision module is used for generating a heat treatment scheme based on matching of a demand instruction and the working state of heat treatment equipment, wherein the heat treatment scheme comprises at least one heat treatment equipment, at least one group of heat treatment equipment control parameters and heat treatment process flow information;
the heat treatment decision module selectively adjusts the workpiece to be treated to target heat treatment equipment according to a heat treatment scheme, and parameter setting is carried out on the target heat treatment equipment through a PLC (programmable logic controller);
the heat treatment decision module generates a heat treatment control instruction according to a heat treatment process flow in a heat treatment scheme, and the heat treatment control instruction is sent to heat treatment equipment through the PLC controller, so that the heat treatment equipment performs heat treatment on a workpiece according to the heat treatment process flow.
Preferably, the acquiring, in real time, the working state of the existing heat treatment apparatus in the heat treatment apparatus group by the heat treatment decision module further includes: the heat treatment decision-making module acquires the working time length information of each heat treatment device in work and determines the available working time length of each heat treatment device in work from next maintenance, the expected residual time of the current production process and the expected residual available working time length; acquiring working time length information of each heat treatment device in the blank, and determining expected remaining available working time length of each heat treatment device in the blank; and acquiring maintenance information of each heat treatment device in the maintenance device, and determining the expected remaining time of the current maintenance process of the heat treatment device in each maintenance and the expected available working time after the maintenance is completed.
Preferably, the heat treatment decision module generates a heat treatment scheme based on matching of a demand instruction and a working state of heat treatment equipment, and specifically comprises the following steps:
the heat treatment decision module is used for generating at least one alternative scheme meeting the heat treatment performance requirements of users through matching of a preset scheme matching model based on the requirement instructions; the scheme matching model is formed by training a machine learning model through historical data;
judging whether an alternative scheme that the equipment requirement is met by the empty heat treatment equipment exists or not based on the working state of the existing heat treatment equipment;
if the equipment is in the condition, calculating the performance score of the alternative scheme meeting the equipment requirement through a preset scheme performance score calculation formula, and selecting the alternative scheme with the highest performance score as a heat treatment scheme;
and if the candidate solution does not exist, screening the candidate solution generated by matching based on the working state of the heat treatment equipment to obtain a heat treatment solution.
Preferably, the preset scheme performance score calculation formula specifically includes:
wherein X is i For the i-th alternative, n is the total number of workpiece heat treatment performance requirements in the demand instruction, P k To the performance requirement value, Q, of the kth performance requirement item in the requirement instruction k And (3) a performance prediction value of a kth performance requirement item in the corresponding requirement instruction after finishing heat treatment processing for the workpiece in the ith alternative scheme.
Preferably, the method for screening the candidate solution generated by matching based on the working state of the heat treatment equipment to obtain the heat treatment solution specifically comprises the following steps:
acquiring heat treatment construction period information from a user, and determining heat treatment process duration information of each alternative scheme, the use duration of heat treatment equipment required by the heat treatment process duration information and the front-end waiting duration when heat treatment processing is carried out based on the heat treatment process flow information of each alternative scheme;
based on the working state information of the heat treatment equipment in working and maintaining, screening the alternatives generated by matching according to the current process use duration and the expected available working duration to obtain target schemes of the heat treatment equipment in working and maintaining, wherein the target schemes still can meet the heat treatment construction period;
calculating the comprehensive score of each target scheme through a preset comprehensive score calculation formula, and selecting the target scheme with the highest comprehensive score as a heat treatment scheme.
Preferably, the preset comprehensive score calculation formula specifically includes:
wherein Z is i The comprehensive score of the ith target scheme is n, the total number of the heat treatment performance requirements of the workpiece in the requirement instruction is P k To the performance requirement value, Q, of the kth performance requirement item in the requirement instruction k Correspondence after finishing the heat treatment processing for the work piece in the ith alternativeA performance prediction value of a kth performance requirement item in the requirement instruction; m is the number of heat treatment equipment required by the ith target scheme, A j A pre-waiting time length of the j-th heat treatment equipment required for the i-th target scheme, B j The remaining time is expected for the current maintenance or production process of the jth heat treatment apparatus required for the ith target scenario.
Preferably, the filtering the alternatives generated by matching further includes: if the heat treatment equipment in the selected work and in the maintenance is not screened to still meet the target scheme of the heat treatment period, sending a heat treatment period adjustment request to a user, and carrying out screening operation again based on the heat treatment period adjusted by the user to obtain the target scheme that the heat treatment equipment in the selected work and in the maintenance still can meet the adjusted heat treatment period.
Preferably, the pre-waiting time period when the heat treatment equipment required by the alternative scheme performs heat treatment processing further comprises: if any one of the heat treatment devices is required to be used for a plurality of times according to the process flow requirements when the heat treatment processing is carried out, the interval time from the start of the heat treatment processing to the first use of the heat treatment device is taken as the front waiting time of the heat treatment device.
In summary, the present application includes at least one of the following beneficial technical effects:
1. by setting a heat treatment decision-making module, a heat treatment scheme is intelligently decided and generated according to heat treatment performance requirements of users and actual use conditions of heat treatment equipment of enterprises, the heat treatment scheme comprises control parameters of the heat treatment equipment and heat treatment process flow information, automatic setting of the equipment parameters is realized through a PLC, and the process flow is automatically controlled, so that the heat treatment equipment performs heat treatment on workpieces according to the heat treatment process flow, manpower and material resources are saved, the phenomenon of reduced heat treatment processing performance caused by experience is avoided, and the effects of effectively improving the heat treatment processing efficiency and the processing quality are achieved;
2. according to the heat treatment performance requirements of users, a heat treatment scheme which meets the performance requirements of the users is accurately matched through a scheme matching model, the existing heat treatment process is organically combined, the alternative schemes are screened based on the actual use condition of enterprise equipment, whether the empty heat treatment equipment can meet the equipment requirements of the alternative schemes or not is judged, and if the empty heat treatment equipment can meet the equipment requirements of the alternative schemes, the heat treatment schemes are selected based on the heat treatment performance of each alternative scheme; if the method does not exist, the equipment selection range is enlarged to the heat treatment equipment which is being maintained and used, the time dimension is introduced to combine the heat treatment performance selection treatment scheme of each alternative scheme, the intelligent scientific evaluation selection scheme is truly realized, and the effect of effectively improving the heat treatment processing efficiency and the processing quality is achieved by combining the actual production condition of enterprises;
3. on the basis that the equipment selection range is enlarged to the heat treatment equipment which is being maintained and used, the target schemes which can still meet the heat treatment construction period of the heat treatment equipment in the selection work and in the maintenance are screened according to the heat treatment construction period requirement, the comprehensive scoring of each target scheme is calculated to select the heat treatment performance excellent by combining the pre-waiting time of the heat treatment equipment in the process flow, and the target scheme with the proper construction period is used as the heat treatment scheme, so that the matching accuracy and scientificity of the heat treatment scheme are further improved, the construction period is ensured while the performance is taken into consideration, the benign development of enterprises is facilitated, and the effect of effectively improving the heat treatment processing efficiency and the processing quality is achieved.
Drawings
FIG. 1 is a system block diagram of a heat treatment system in an embodiment of the application;
FIG. 2 is a flow chart of a method of heat treating a heat treatment system in accordance with an embodiment of the present application;
FIG. 3 is a flow chart of a method for a heat treatment decision module to generate a heat treatment plan in an embodiment of the application;
fig. 4 is a flowchart of a method for screening alternatives for match generation in an embodiment of the present application.
Reference numerals illustrate: 1. a heat treatment decision module; 2. a heat treatment equipment group; 3. and a PLC controller.
Detailed Description
The application is described in further detail below with reference to fig. 1-4.
The embodiment of the application discloses a heat treatment system. Referring to fig. 1, a heat treatment system includes a heat treatment decision module 1, a heat treatment apparatus group 2, and a PLC controller 3. The heat treatment decision module 1 and the heat treatment equipment group 2 are both in communication connection with the PLC controller 3. The heat treatment equipment set 2 comprises the existing heat treatment equipment of enterprises, the heat treatment equipment is the existing equipment which is put into use, such as a controllable atmosphere heat treatment furnace, a vacuum furnace, a controllable tempering furnace and the like, and the structural structure of the heat treatment equipment set is the prior art and is not repeated here. The heat treatment decision module 1 is used for acquiring the heat treatment performance requirements of a user and determining a heat treatment scheme by combining the use condition matching of the existing heat treatment equipment, so as to control the heat treatment equipment group 2 and the PLC 3 to set equipment parameters and heat treatment processing of workpieces. Through the setting of the heat treatment decision-making module 1, a heat treatment scheme is intelligently decided and generated according to the heat treatment performance requirements of users and the actual use condition of heat treatment equipment of enterprises, the heat treatment scheme comprises heat treatment equipment control parameters and heat treatment process flow information, automatic equipment parameter setting is realized through the PLC 3, and the process flow is automatically controlled, so that the heat treatment equipment carries out heat treatment on workpieces according to the heat treatment process flow, manpower and material resources are saved, the phenomenon of reduced heat treatment processing performance caused by experience is avoided, and the effect of effectively improving the heat treatment processing efficiency and the processing quality is achieved.
Referring to fig. 2, the heat treatment decision module 1 is configured to obtain a heat treatment performance requirement of a user and determine a heat treatment scheme by matching a use condition of an existing heat treatment apparatus, so as to control the heat treatment apparatus group 2 and the PLC controller 3 to set apparatus parameters and perform heat treatment processing on a workpiece, and specifically includes the following steps:
a1, a heat treatment decision module generates a demand instruction: the heat treatment decision module obtains performance requirement information input by a user to generate a requirement instruction, wherein the requirement instruction comprises a technological performance requirement and a use performance requirement, the technological performance requirement comprises one or more of a casting performance requirement, a forging performance requirement, a welding performance requirement, a cutting performance requirement, a forming performance requirement and a heat treatment technological performance requirement, and the use performance requirement comprises one or more of a mechanical performance requirement, a physical performance requirement and a chemical performance requirement;
a2, acquiring the working state of the existing heat treatment equipment in the heat treatment equipment group: the heat treatment decision-making module acquires the working state of the existing heat treatment equipment in the heat treatment equipment group in real time, wherein the working state comprises working, vacant working and maintenance;
a3, matching and generating a heat treatment scheme: the heat treatment decision module is used for generating a heat treatment scheme based on the matching of the demand instruction and the working state of the heat treatment equipment, wherein the heat treatment scheme comprises at least one heat treatment equipment, at least one group of heat treatment equipment control parameters and heat treatment process flow information;
a4, parameter setting is carried out on the target heat treatment equipment: the heat treatment decision module selectively adjusts the workpiece to be treated to target heat treatment equipment according to a heat treatment scheme, and parameter setting is carried out on the target heat treatment equipment through the PLC;
a5, carrying out heat treatment on the workpiece according to the heat treatment process flow: the heat treatment decision module generates a heat treatment control instruction according to a heat treatment process flow in a heat treatment scheme, and the heat treatment control instruction is sent to heat treatment equipment through the PLC controller, so that the heat treatment equipment performs heat treatment on a workpiece according to the heat treatment process flow. Based on the heat treatment performance requirements of users and the working state of the existing equipment of enterprises, the intelligent decision-making is matched to generate a heat treatment scheme, the automatic setting of equipment parameters is realized through a PLC, the heat treatment equipment is automatically controlled to carry out heat treatment processing on workpieces according to the process flow, the phenomenon of reduced heat treatment processing performance caused by experience is avoided while manpower and material resources are saved, and the effect of effectively improving the heat treatment processing efficiency and the processing quality is achieved.
When the heat treatment decision module obtains the working state of the existing heat treatment equipment in the heat treatment equipment group in real time, the working data of the existing heat treatment equipment is also obtained specifically as follows: the heat treatment decision-making module acquires the working time length information of each heat treatment device in work and determines the available working time length of each heat treatment device in work from next maintenance, the expected residual time of the current production process and the expected residual available working time length; acquiring working time length information of each heat treatment device in the blank, and determining expected remaining available working time length of each heat treatment device in the blank; and acquiring maintenance information of each heat treatment device in the maintenance device, and determining the expected remaining time of the current maintenance process of the heat treatment device in each maintenance and the expected available working time after the maintenance is completed. The working data of each existing heat treatment device is collected, the working state of each heat treatment device is refined, the heat treatment scheme which is most suitable for the heat treatment performance requirements of users is selected while high-efficiency production is guaranteed as much as possible, and the effect of effectively improving the heat treatment processing performance is achieved.
Referring to fig. 3, the heat treatment decision module specifically includes the following steps of:
b1, matching generation alternative scheme: the heat treatment decision module is used for generating at least one alternative scheme meeting the heat treatment performance requirements of users through matching of a preset scheme matching model based on the requirement instructions; the scheme matching model is formed by training a machine learning model through historical data; the specific steps for training the machine learning model are the prior art and are not described in detail herein;
b2, judging whether an alternative scheme that the equipment requirement is met by the empty heat treatment equipment exists or not based on the working state of the existing heat treatment equipment;
b3, if the alternative scheme meeting the equipment requirement exists, calculating the performance score of the alternative scheme through a preset scheme performance score calculation formula, and selecting the alternative scheme with the highest performance score as a heat treatment scheme;
and B4, if the heat treatment equipment does not exist, screening the generated alternative scheme based on the working state of the heat treatment equipment to obtain a heat treatment scheme. According to the heat treatment performance requirements of users, a heat treatment scheme which meets the performance requirements of the users is accurately matched through a scheme matching model, the existing heat treatment process is organically combined, the alternative schemes are screened based on the actual use condition of enterprise equipment, whether the empty heat treatment equipment can meet the equipment requirements of the alternative schemes or not is judged, and if the empty heat treatment equipment can meet the equipment requirements of the alternative schemes, the heat treatment schemes are selected based on the heat treatment performance of each alternative scheme; if the method does not exist, the equipment selection range is expanded to the heat treatment equipment which is being maintained and used, the time dimension is introduced to combine the heat treatment performance of each alternative scheme to select the treatment scheme, the intelligent scientific evaluation selection scheme is truly realized, and the effect of effectively improving the heat treatment processing efficiency and the processing quality is achieved by combining the actual production condition of enterprises.
The preset scheme performance score calculation formula specifically comprises the following steps:
wherein X is i For the i-th alternative, n is the total number of workpiece heat treatment performance requirements in the demand instruction, P k To the performance requirement value, Q, of the kth performance requirement item in the requirement instruction k And (3) a performance prediction value of a kth performance requirement item in the corresponding requirement instruction after finishing heat treatment processing for the workpiece in the ith alternative scheme.
Referring to fig. 4, the above-mentioned selection of the candidate solution generated by matching based on the working state of the heat treatment apparatus specifically includes the following steps:
c1, acquiring information: acquiring heat treatment construction period information from a user, and determining heat treatment process duration information of each alternative scheme, the use duration of heat treatment equipment required by the heat treatment process duration information and the front-end waiting duration when heat treatment processing is carried out based on the heat treatment process flow information of each alternative scheme;
c2, screening alternative schemes: based on the working state information of the heat treatment equipment in working and maintaining, screening the alternatives generated by matching according to the current process use duration and the expected available working duration to obtain target schemes of the heat treatment equipment in working and maintaining, wherein the target schemes still can meet the heat treatment construction period;
and C3, selecting a target scheme with the highest comprehensive score as a heat treatment scheme: calculating the comprehensive score of each target scheme through a preset comprehensive score calculation formula, and selecting the target scheme with the highest comprehensive score as a heat treatment scheme. On the basis that the equipment selection range is enlarged to the heat treatment equipment which is being maintained and used, the target schemes which can still meet the heat treatment construction period of the heat treatment equipment in the selection work and in the maintenance are screened according to the heat treatment construction period requirement, the comprehensive scoring of each target scheme is calculated to select the heat treatment performance excellent by combining the pre-waiting time of the heat treatment equipment in the process flow, and the target scheme with the proper construction period is used as the heat treatment scheme, so that the matching accuracy and scientificity of the heat treatment scheme are further improved, the construction period is ensured while the performance is taken into consideration, the benign development of enterprises is facilitated, and the effect of effectively improving the heat treatment processing efficiency and the processing quality is achieved.
When the pre-waiting time of the heat treatment equipment required by the alternative scheme is calculated, if any heat treatment equipment required by the alternative scheme needs to be used for a plurality of times according to the process flow requirement when the heat treatment processing is carried out, the interval time from the start of the heat treatment processing to the first use of the heat treatment equipment is taken as the pre-waiting time of the heat treatment equipment.
The preset comprehensive score calculation formula specifically comprises the following steps:
wherein Z is i The comprehensive score of the ith target scheme is n, the total number of the heat treatment performance requirements of the workpiece in the requirement instruction is P k To the performance requirement value, Q, of the kth performance requirement item in the requirement instruction k A performance prediction value of a kth performance requirement item in a corresponding requirement instruction after finishing heat treatment processing for the workpiece in the ith alternative scheme; m is the number of heat treatment equipment required by the ith target scheme, A j A pre-waiting time length of the j-th heat treatment equipment required for the i-th target scheme, B j The remaining time is expected for the current maintenance or production process of the jth heat treatment apparatus required for the ith target scenario.
When screening the alternatives generated by matching, if the screening does not obtain the target scheme that the heat treatment equipment in the working and maintenance can still meet the heat treatment period, sending a heat treatment period adjustment request to a user, and carrying out screening operation again based on the heat treatment period adjusted by the user so as to obtain the target scheme that the heat treatment equipment in the working and maintenance can still meet the adjusted heat treatment period.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the scope of the present application. It will be apparent that the described embodiments are merely some, but not all, embodiments of the application. Based on these embodiments, all other embodiments that may be obtained by one of ordinary skill in the art without inventive effort are within the scope of the application. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art may still combine, add or delete features of the embodiments of the present application or make other adjustments according to circumstances without any conflict, so as to obtain different technical solutions without substantially departing from the spirit of the present application, which also falls within the scope of the present application.
Claims (9)
1. A heat treatment system, characterized by: the device comprises a heat treatment decision module (1), a heat treatment equipment set (2) and a PLC (programmable logic controller) controller (3), wherein the heat treatment decision module (1) and the heat treatment equipment set (2) are both in communication connection with the PLC controller (3); the heat treatment decision module (1) is used for acquiring the heat treatment performance requirements of a user and determining a heat treatment scheme by combining the use condition matching of the conventional heat treatment equipment, so as to control the heat treatment equipment group (2) and the PLC (3) to set equipment parameters and heat treatment processing of the workpiece.
2. The heat treatment system of claim 1, wherein the heat treatment decision module is configured to obtain a heat treatment performance requirement of a user, determine a heat treatment scheme by matching a use condition of an existing heat treatment apparatus, and further control the heat treatment apparatus set and the PLC controller to perform apparatus parameter setting and heat treatment processing of the workpiece, and specifically comprises the following steps:
the heat treatment decision module obtains performance requirement information input by a user to generate a requirement instruction, wherein the requirement instruction comprises a technological performance requirement and a use performance requirement, the technological performance requirement comprises one or more of a casting performance requirement, a forging performance requirement, a welding performance requirement, a cutting performance requirement, a forming performance requirement and a heat treatment technological performance requirement, and the use performance requirement comprises one or more of a mechanical performance requirement, a physical performance requirement and a chemical performance requirement;
the heat treatment decision-making module acquires the working state of the existing heat treatment equipment in the heat treatment equipment group in real time, wherein the working state comprises working, vacant centering and maintenance;
the heat treatment decision module is used for generating a heat treatment scheme based on matching of a demand instruction and the working state of heat treatment equipment, wherein the heat treatment scheme comprises at least one heat treatment equipment, at least one group of heat treatment equipment control parameters and heat treatment process flow information;
the heat treatment decision module selectively adjusts the workpiece to be treated to target heat treatment equipment according to a heat treatment scheme, and parameter setting is carried out on the target heat treatment equipment through a PLC (programmable logic controller);
the heat treatment decision module generates a heat treatment control instruction according to a heat treatment process flow in a heat treatment scheme, and the heat treatment control instruction is sent to heat treatment equipment through the PLC controller, so that the heat treatment equipment performs heat treatment on a workpiece according to the heat treatment process flow.
3. The heat treatment system of claim 2, wherein the heat treatment decision module obtains the operating state of the existing heat treatment apparatus in the heat treatment apparatus group in real time further comprising: the heat treatment decision-making module acquires the working time length information of each heat treatment device in work and determines the available working time length of each heat treatment device in work from next maintenance, the expected residual time of the current production process and the expected residual available working time length; acquiring working time length information of each heat treatment device in the blank, and determining expected remaining available working time length of each heat treatment device in the blank; and acquiring maintenance information of each heat treatment device in the maintenance device, and determining the expected remaining time of the current maintenance process of the heat treatment device in each maintenance and the expected available working time after the maintenance is completed.
4. A heat treatment system according to claim 3, wherein: the heat treatment decision module generates a heat treatment scheme based on matching of a demand instruction and the working state of heat treatment equipment, and specifically comprises the following steps:
the heat treatment decision module is used for generating at least one alternative scheme meeting the heat treatment performance requirements of users through matching of a preset scheme matching model based on the requirement instructions; the scheme matching model is formed by training a machine learning model through historical data;
judging whether an alternative scheme that the equipment requirement is met by the empty heat treatment equipment exists or not based on the working state of the existing heat treatment equipment;
if the equipment is in the condition, calculating the performance score of the alternative scheme meeting the equipment requirement through a preset scheme performance score calculation formula, and selecting the alternative scheme with the highest performance score as a heat treatment scheme;
and if the candidate solution does not exist, screening the candidate solution generated by matching based on the working state of the heat treatment equipment to obtain a heat treatment solution.
5. A heat treatment system according to claim 4, wherein: the preset scheme performance score calculation formula specifically comprises the following steps:
wherein X is i For the i-th alternative, n is the total number of workpiece heat treatment performance requirements in the demand instruction, P k For the kth performance requirement in the requirement instructionPerformance requirement of item, Q k And (3) a performance prediction value of a kth performance requirement item in the corresponding requirement instruction after finishing heat treatment processing for the workpiece in the ith alternative scheme.
6. A heat treatment system according to claim 4, wherein: the method for screening the generated alternative scheme based on the working state of the heat treatment equipment to obtain the heat treatment scheme specifically comprises the following steps:
acquiring heat treatment construction period information from a user, and determining heat treatment process duration information of each alternative scheme, the use duration of heat treatment equipment required by the heat treatment process duration information and the front-end waiting duration when heat treatment processing is carried out based on the heat treatment process flow information of each alternative scheme;
based on the working state information of the heat treatment equipment in working and maintaining, screening the alternatives generated by matching according to the current process use duration and the expected available working duration to obtain target schemes of the heat treatment equipment in working and maintaining, wherein the target schemes still can meet the heat treatment construction period;
calculating the comprehensive score of each target scheme through a preset comprehensive score calculation formula, and selecting the target scheme with the highest comprehensive score as a heat treatment scheme.
7. A heat treatment system according to claim 1, wherein: the preset comprehensive score calculation formula specifically comprises the following steps:
wherein Z is i The comprehensive score of the ith target scheme is n, the total number of the heat treatment performance requirements of the workpiece in the requirement instruction is P k To the performance requirement value, Q, of the kth performance requirement item in the requirement instruction k A performance prediction value of a kth performance requirement item in a corresponding requirement instruction after finishing heat treatment processing for the workpiece in the ith alternative scheme; m is the number of heat treatment apparatuses required for the ith target protocol,A j a pre-waiting time length of the j-th heat treatment equipment required for the i-th target scheme, B j The remaining time is expected for the current maintenance or production process of the jth heat treatment apparatus required for the ith target scenario.
8. The thermal processing system of claim 6, wherein said screening for alternatives to match generation further comprises: if the heat treatment equipment in the selected work and in the maintenance is not screened to still meet the target scheme of the heat treatment period, sending a heat treatment period adjustment request to a user, and carrying out screening operation again based on the heat treatment period adjusted by the user to obtain the target scheme that the heat treatment equipment in the selected work and in the maintenance still can meet the adjusted heat treatment period.
9. The heat treatment system of claim 6, wherein the pre-wait period for the heat treatment apparatus for the alternative to perform the heat treatment process further comprises: if any one of the heat treatment devices is required to be used for a plurality of times according to the process flow requirements when the heat treatment processing is carried out, the interval time from the start of the heat treatment processing to the first use of the heat treatment device is taken as the front waiting time of the heat treatment device.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117092962A (en) * | 2023-10-19 | 2023-11-21 | 常州市百宏智能科技有限公司 | Numerical control machine tool machining control system |
| CN117535510A (en) * | 2024-01-10 | 2024-02-09 | 麦格纳汽车动力总成(天津)有限公司 | Automatic control method, device and equipment for heat treatment and readable storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106444600A (en) * | 2016-08-31 | 2017-02-22 | 宁夏共享模具有限公司 | Management method and apparatus of heat treatment furnace |
| KR101968448B1 (en) * | 2018-11-16 | 2019-04-11 | 최상 | Method for automatic control and monitoring smart quenching-tempering heat treatment process and system thereof |
| CN110735029A (en) * | 2019-10-23 | 2020-01-31 | 宁波萨科森工业科技有限公司 | intelligent aluminum foil heat treatment system |
| WO2021073118A1 (en) * | 2019-10-18 | 2021-04-22 | 平安科技（深圳）有限公司 | Information processing method and apparatus based on reinforcement learning, and device and storage medium |
| CN114861509A (en) * | 2022-07-07 | 2022-08-05 | 苏州翔楼新材料股份有限公司 | Special steel heat treatment process data processing method and system |
| CN116422698A (en) * | 2023-06-13 | 2023-07-14 | 昆山精诚得精密五金模具有限公司 | Cold rolling mill for metal processing |
-
2023
- 2023-08-10 CN CN202311005117.4A patent/CN117025896B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106444600A (en) * | 2016-08-31 | 2017-02-22 | 宁夏共享模具有限公司 | Management method and apparatus of heat treatment furnace |
| KR101968448B1 (en) * | 2018-11-16 | 2019-04-11 | 최상 | Method for automatic control and monitoring smart quenching-tempering heat treatment process and system thereof |
| WO2021073118A1 (en) * | 2019-10-18 | 2021-04-22 | 平安科技（深圳）有限公司 | Information processing method and apparatus based on reinforcement learning, and device and storage medium |
| CN110735029A (en) * | 2019-10-23 | 2020-01-31 | 宁波萨科森工业科技有限公司 | intelligent aluminum foil heat treatment system |
| CN114861509A (en) * | 2022-07-07 | 2022-08-05 | 苏州翔楼新材料股份有限公司 | Special steel heat treatment process data processing method and system |
| CN116422698A (en) * | 2023-06-13 | 2023-07-14 | 昆山精诚得精密五金模具有限公司 | Cold rolling mill for metal processing |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117092962A (en) * | 2023-10-19 | 2023-11-21 | 常州市百宏智能科技有限公司 | Numerical control machine tool machining control system |
| CN117535510A (en) * | 2024-01-10 | 2024-02-09 | 麦格纳汽车动力总成(天津)有限公司 | Automatic control method, device and equipment for heat treatment and readable storage medium |
| CN117535510B (en) * | 2024-01-10 | 2024-05-03 | 麦格纳汽车动力总成(天津)有限公司 | Automatic control method, device and equipment for heat treatment and readable storage medium |
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