CN117286327B - Intelligent temperature control method and system for bearing heat treatment process - Google Patents
Intelligent temperature control method and system for bearing heat treatment process Download PDFInfo
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- CN117286327B CN117286327B CN202311579413.5A CN202311579413A CN117286327B CN 117286327 B CN117286327 B CN 117286327B CN 202311579413 A CN202311579413 A CN 202311579413A CN 117286327 B CN117286327 B CN 117286327B
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- 238000000034 method Methods 0.000 title claims abstract description 212
- 230000008569 process Effects 0.000 title claims abstract description 181
- 238000010438 heat treatment Methods 0.000 title claims abstract description 162
- 238000012544 monitoring process Methods 0.000 claims abstract description 16
- 238000013507 mapping Methods 0.000 claims abstract description 14
- 238000005457 optimization Methods 0.000 claims description 52
- 230000007246 mechanism Effects 0.000 claims description 12
- 238000005259 measurement Methods 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 11
- 238000005192 partition Methods 0.000 claims description 9
- 230000011218 segmentation Effects 0.000 claims description 9
- 230000002596 correlated effect Effects 0.000 claims description 4
- 238000012163 sequencing technique Methods 0.000 claims description 2
- 238000000137 annealing Methods 0.000 description 12
- 230000000875 corresponding effect Effects 0.000 description 4
- 230000002860 competitive effect Effects 0.000 description 3
- 238000001816 cooling Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 230000003399 chemotactic effect Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000003754 machining Methods 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
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- 238000003780 insertion Methods 0.000 description 1
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- 238000013021 overheating Methods 0.000 description 1
- 238000006467 substitution reaction Methods 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
- C21D9/00—Heat treatment, e.g. annealing, hardening, quenching or tempering, adapted for particular articles; Furnaces therefor
- C21D9/40—Heat treatment, e.g. annealing, hardening, quenching or tempering, adapted for particular articles; Furnaces therefor for rings; for bearing races
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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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Abstract
The disclosure provides an intelligent temperature control method and system for a bearing heat treatment process, which relate to the technical field of heat treatment processes, and the method comprises the following steps: determining an initial heat treatment process; performing disturbance expansion and competition equalization optimizing based on the initial heat treatment process, and determining a target heat treatment process; performing temperature control variable analysis and inverse distance weight analysis, and configuring staged nodes; setting a fuzzy control time zone and a precise control time zone; executing step-by-step stepwise temperature control; the bearing heat treatment monitoring is synchronously carried out, real-time temperature control data are returned, the judgment of the mapping differential temperature control standard is carried out, and the real-time feedback temperature control management is carried out.
Description
Technical Field
The disclosure relates to the technical field of heat treatment processes, in particular to an intelligent temperature control method and system for a bearing heat treatment process.
Background
The bearing is an important part in mechanical equipment, and the main function is that a rotating body supporting the machine reduces the friction coefficient of the machine in the motion process and ensures the rotation precision of the machine. In order to meet the purpose of design requirement, the bearing is subjected to heat treatment, and the stability of the optimization process is fully ensured. However, if the heating temperature is not adjusted in the heat treatment process, the mechanical property of the bearing can be obviously reduced and even the bearing is scrapped due to overheating and overburning of the heat treatment temperature. Therefore, a method is needed to avoid excessive heat treatment temperatures.
In summary, the prior art has the technical problem that the product quality of the heat treatment process is poor due to the low temperature control accuracy and efficiency of the heat treatment process of the bearing.
Disclosure of Invention
The disclosure provides an intelligent temperature control method and system for a bearing heat treatment process, which are used for solving the technical problem in the prior art that the product quality of the heat treatment process is poor due to lower temperature control accuracy and efficiency of the bearing heat treatment process.
According to a first aspect of the present disclosure, there is provided an intelligent temperature control method for a bearing heat treatment process, comprising: reading basic configuration data based on a target bearing, and determining an initial heat treatment process, wherein the initial heat treatment process is a universal heat treatment process conforming to a quality standard; determining a temperature control influence factor of scene, combining a process optimizing module, executing disturbance expansion and competition and assimilation optimizing based on the initial heat treatment process, and determining a target heat treatment process, wherein a disturbance constraint condition and a competition and assimilation mechanism are embedded in the process optimizing module; aiming at the target heat treatment process, temperature control variable analysis and inverse distance weight analysis are carried out in a self-adaptive segmentation model, and a fitting analysis result is used for configuring a staged node; setting a fuzzy control time zone and an accurate control time zone based on the staged node, wherein the fuzzy control time zone is determined based on a stable temperature control state, the accurate control time zone is determined based on a trend temperature control state, and a differential temperature control standard is marked; taking the fuzzy control time zone and the precise control time zone as references, executing the step-by-step staged temperature control of the target heat treatment process; and synchronously carrying out bearing heat treatment monitoring, returning real-time temperature control data, judging a mapping differential temperature control standard, and executing real-time feedback temperature control management.
According to a second aspect of the present disclosure, there is provided an intelligent temperature control system for a bearing heat treatment process, comprising: the initial heat treatment process obtaining module is used for reading basic configuration data based on a target bearing and determining an initial heat treatment process, wherein the initial heat treatment process is a universal heat treatment process conforming to a quality standard; the target heat treatment process obtaining module is used for determining a temperature control influence factor of scene, combining with the process optimizing module, executing disturbance expansion and competition and assimilation optimizing based on the initial heat treatment process, and determining a target heat treatment process, wherein a disturbance constraint condition and a competition and assimilation mechanism are embedded in the process optimizing module; the staged node configuration module is used for carrying out temperature control variable analysis and inverse distance weight analysis in the self-adaptive segmentation model aiming at the target heat treatment process, and fitting analysis results to configure staged nodes; the precise control time zone obtaining module is used for setting a fuzzy control time zone and a precise control time zone based on the staged node, wherein the fuzzy control time zone is determined based on a stable temperature control state, the precise control time zone is determined based on a trend temperature control state, and a differential temperature control standard is marked; the step-by-step stepwise temperature control module is used for executing step-by-step stepwise temperature control of the target heat treatment process by taking the fuzzy control time zone and the precise control time zone as references; and the real-time feedback temperature control management module is used for synchronously carrying out bearing heat treatment monitoring, returning real-time temperature control data, judging a mapping difference temperature control standard and executing real-time feedback temperature control management.
One or more technical solutions provided in the present disclosure have at least the following technical effects or advantages: according to the method, the initial heat treatment process is determined by reading basic configuration data based on the target bearing, wherein the initial heat treatment process is a universal heat treatment process conforming to the quality standard; determining a temperature control influence factor of scene, combining a process optimizing module, executing disturbance expansion and competition and assimilation optimizing based on the initial heat treatment process, and determining a target heat treatment process, wherein a disturbance constraint condition and a competition and assimilation mechanism are embedded in the process optimizing module; aiming at the target heat treatment process, temperature control variable analysis and inverse distance weight analysis are carried out in a self-adaptive segmentation model, and a fitting analysis result is used for configuring a staged node; setting a fuzzy control time zone and an accurate control time zone based on the staged node, wherein the fuzzy control time zone is determined based on a stable temperature control state, the accurate control time zone is determined based on a trend temperature control state, and a differential temperature control standard is marked; taking the fuzzy control time zone and the precise control time zone as references, executing the step-by-step staged temperature control of the target heat treatment process; the bearing heat treatment monitoring is synchronously carried out, real-time temperature control data are returned, the judgment of mapping differential temperature control standards is carried out, and real-time feedback temperature control management is carried out, so that the technical problem that the product quality of the heat treatment process is poor due to lower temperature control accuracy and efficiency of the bearing heat treatment process in the prior art is solved, the temperature control accuracy and efficiency targets of the bearing heat treatment process are improved, and the technical effect of improving the product quality of the heat treatment process is achieved.
It should be understood that the description of this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
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For a clearer description of the present disclosure or of the prior art, the drawings used in the description of the embodiments or of the prior art will be briefly described, it being obvious that the drawings in the description below are only exemplary and that other drawings may be obtained, without inventive effort, by a person skilled in the art, from the provided drawings.
FIG. 1 is a schematic diagram of logic for performing disturbance expansion and competitive assimilation optimizing based on the initial heat treatment process in an intelligent temperature control method for a bearing heat treatment process according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of an intelligent temperature control system for a bearing heat treatment process according to an embodiment of the present disclosure.
Reference numerals illustrate: the system comprises an initial heat treatment process obtaining module 11, a target heat treatment process obtaining module 12, a stepped node configuration module 13, a precise control time zone obtaining module 14, a stepped temperature control module 15 and a real-time feedback temperature control management module 16.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Example 1
An intelligent temperature control method for a bearing heat treatment process according to an embodiment of the present disclosure is described with reference to fig. 1, where the method includes:
reading basic configuration data based on a target bearing, and determining an initial heat treatment process, wherein the initial heat treatment process is a universal heat treatment process conforming to a quality standard;
specifically, the target bearing is a bearing to be subjected to a heat treatment process. And obtaining basic configuration data of the target bearing such as materials, models, specifications, purposes, application scenes and the like through data reading of the heat treatment process in the historical time. The specific steps of the initial heat treatment process are determined based on basic configuration data such as materials, model, specifications, use, application scenario, etc. Wherein, the initial heat treatment process is a universal heat treatment process which accords with the quality standard. For example, quality standards including material standards, model standards, specification standards, usage standards, application scenario standards, etc. are determined based on basic configuration data of materials, models, specifications, usage, application scenario, etc. in a plurality of specific steps of the initial heat treatment process. For example, the initial heat treatment process is a heat treatment process in which basic configuration data of a target bearing such as a material, a model, a specification, a use, an application scene and the like meets a material standard, a model standard, a specification standard, a use standard and an application scene standard.
Determining a temperature control influence factor of scene, combining a process optimizing module, executing disturbance expansion and competition and assimilation optimizing based on the initial heat treatment process, and determining a target heat treatment process, wherein a disturbance constraint condition and a competition and assimilation mechanism are embedded in the process optimizing module;
specifically, a mapping of a temperature control influence factor of the scene and an initial heat treatment process is determined, and a disturbance constraint condition is determined. For example, the initial heat treatment process includes annealing, spheroidizing annealing, machining annealing, stress relief annealing, etc., and each step has a corresponding temperature control influence factor, i.e. a temperature influence condition, for example, the influence of the temperature and humidity environment on each step, for example, the annealing temperature is 60 to 70 ℃, and the annealing temperature needs to be adjusted to 70 to 80 ℃ due to the lower environmental temperature. Then disturbance constraint conditions are determined, and parameters such as temperature or humidity affecting the heat treatment result of each step, such as increasing temperature or humidity, are determined according to the original control temperature or control temperature range corresponding to each step. The expansion of the scheme to be adjusted according to the disturbance constraint conditions, for example, adjusting parameters such as temperature or humidity, which affect the processing result of the initial heat treatment process. The method comprises the steps of carrying out disturbance expansion of an initial heat treatment process by combining a process optimizing module, carrying out competitive assimilation optimizing on an expansion scheme, for example, according to adjustment of a plurality of parameters such as temperature and humidity, determining that a processing result affecting the initial heat treatment process is a better parameter for adjusting the temperature and humidity, if a condition of lower temperature exists in a temperature control affecting factor, when the annealing temperature is adjusted to 75 ℃, the processing result of an annealing step in the initial heat treatment process is optimal, carrying out optimization of adjustment parameters on a plurality of steps in the initial heat treatment process, determining a target heat treatment process, and embedding disturbance constraint conditions and a competitive assimilation mechanism in the process optimizing module. Further, an optimal process is selected, the fault tolerance interval under actual temperature control is improved, and the temperature control risk based on the bearing quality is reduced.
Aiming at the target heat treatment process, temperature control variable analysis and inverse distance weight analysis are carried out in a self-adaptive segmentation model, and a fitting analysis result is used for configuring a staged node;
specifically, for a target heat treatment process, two modes of collaborative analysis fitting of temperature control variable analysis and inverse distance weight analysis are carried out in a self-adaptive segmentation model, so that optimal staged configuration is realized, and staged nodes are configured according to fitting analysis results. The stage nodes comprise first-order dividing nodes and second-order dividing nodes.
Setting a fuzzy control time zone and an accurate control time zone based on the staged node, wherein the fuzzy control time zone is determined based on a stable temperature control state, the accurate control time zone is determined based on a trend temperature control state, and a differential temperature control standard is marked;
specifically, the fuzzy control time zone is determined based on the stable temperature control state, the precise control time zone is determined based on the trend temperature control state, and the differential temperature control standard is identified. Wherein, the temperature control standard and the precision requirement of different stages are different. For example, in the heating stage, the heating time and temperature need to be strictly controlled, which belongs to a stable temperature control state, in the cooling stage, the temperature needs to be rapidly reduced, which belongs to a dynamic temperature control stage, and the temperature is precisely controlled to avoid cracks, deformation and the like. Further, stage nodes are identified, and stage temperature control situations of stages of each adjacent node are determined. The staged temperature control situation comprises a stable temperature control state and a trend temperature control state. And the constant temperature control is carried out in a stable temperature control state, so that the control requirement is less. And the variable temperature control is carried out by approaching to the temperature control state, dynamic variables such as control amplitude and the like are required to be controlled on the basis of parameter control, the control precision is higher, and then a plurality of fuzzy control time zones and a plurality of precise control time zones of the staged node are determined. Determining the process sequence according to the target heat treatment process. Matching the fuzzy control time zones, the precise control time zones and the process sequence, and integrating the positive serialization sequences of the fuzzy control time zones and the precise control time zones according to the determination of the process sequence.
Taking the fuzzy control time zone and the precise control time zone as references, executing the step-by-step staged temperature control of the target heat treatment process;
specifically, the stepwise temperature control of the target heat treatment process is performed with reference to the fuzzy control time zone and the precise control time zone. For example, in the heating stage, the heating time and temperature are controlled, and in the cooling stage, rapid cooling is required, and the control is accurate to avoid cracks, deformation and the like.
And synchronously carrying out bearing heat treatment monitoring, returning real-time temperature control data, judging a mapping differential temperature control standard, and executing real-time feedback temperature control management.
Specifically, in the process of executing the temperature control of the target heat treatment process, temperature monitoring of the bearing heat treatment is synchronously performed, real-time temperature control data is received back, deviation metering based on the real-time temperature control data is performed, the temperature control deviation degree is determined according to the deviation, feedback adjustment data is generated, and real-time feedback temperature control management is further performed.
The technical problem that the product quality of the heat treatment process is poor due to low temperature control accuracy and efficiency of the heat treatment process of the bearing in the prior art can be solved, the temperature control accuracy and efficiency of the heat treatment process of the bearing are improved, and the technical effect of improving the product quality of the heat treatment process is achieved.
The method provided by the embodiment of the disclosure further comprises the following steps:
executing the mapping of the temperature control influence factor and the initial heat treatment process, and determining disturbance constraint conditions;
taking the disturbance constraint condition as a reference, carrying out random disturbance expansion of the initial heat treatment process, and determining a target expansion scheme set;
carrying out scheme division and optimal direction assimilation based on a preset proportion on the target expansion scheme set, and repeatedly iterating to determine an optimal scheme set;
and based on the optimized scheme set, checking and selecting an optimal scheme as the target heat treatment process.
Specifically, a temperature control influence factor for the scenery is determined based on the big data, for example, temperature influence conditions of annealing, spheroidizing annealing, machining annealing, stress relief annealing processes in the bearing heat treatment process are determined. And executing the mapping of the temperature control influence factors and each step in the initial heat treatment process, determining a disturbance adjustment range of the combination scene configuration corresponding to the mapping, and taking the disturbance adjustment range as a disturbance constraint condition.
Further, based on the disturbance constraint condition, carrying out random temperature adjustment, namely random disturbance expansion, on a plurality of steps of the initial heat treatment process, and further determining a target expansion scheme set.
Further, the target expansion scheme set is randomly subjected to scheme division based on a preset proportion to obtain a first expansion scheme set, the scheme is optimized by taking the first expansion scheme set as an optimization direction to obtain a first optimization scheme set, and the scheme is optimized by taking the first expansion scheme set and the first optimization scheme set as optimization schemes to obtain a second optimization scheme set. And combining the first expansion scheme set, the first optimization scheme set and the second optimization scheme set to obtain a primary iteration scheme set. And determining an optimization scheme set according to the combined repeated iteration scheme.
Further, the influence of the temperature adjustment scheme on the initial heat treatment process is intensively checked in the optimized scheme to select the optimal scheme as the target heat treatment process. Wherein, disturbance expansion and competition equalization optimizing based on the initial heat treatment process are executed, thereby improving the efficiency of obtaining a better scheme.
The method provided by the embodiment of the disclosure further comprises the following steps:
performing positive sequencing based on the priority on the target expansion scheme set, intercepting a first expansion scheme set, a second expansion scheme set and a third expansion scheme set based on the preset proportion, and presenting an increase situation by the preset proportion;
taking the first expansion scheme set as an optimization direction, executing random matching and optimization direction adjustment on the second expansion scheme, and determining a first optimization scheme set;
taking the first expansion scheme set and the first optimization scheme set as optimization directions, executing random matching and optimization direction adjustment on the second expansion scheme, and determining a second optimization scheme set;
and integrating the first expansion scheme set, the first optimization scheme set and the second optimization scheme set to determine an iteration scheme set.
Specifically, by the influence of temperature adjustment on the initial heat treatment process, positive sequential ordering from top to bottom based on the good and bad states is performed on the target expansion scheme set adjustment temperature. The method comprises the steps of randomly intercepting an expansion scheme set for multiple times based on a preset proportion to serve as a first expansion scheme set, a second expansion scheme set and a third expansion scheme set, wherein the preset proportion is in an increasing situation of adjustment times, and the preset proportion is obtained by custom setting according to actual conditions by a person skilled in the art.
Further, when the first expansion scheme set is used as an optimization direction, that is, a scheme for adjusting the temperature in the first expansion scheme set is used as an optimization direction of the initial heat treatment process, random matching and optimal direction adjustment of the adjustment scheme of the first expansion scheme set are performed on the second expansion scheme, and the first optimization scheme set is determined.
Further, when the first expansion scheme set and the first optimization scheme set are used as optimization directions, namely, a scheme for adjusting the temperature in the first expansion scheme set and the first optimization scheme set is used as an optimization direction of the initial heat treatment process, random matching and optimization direction adjustment of the second expansion scheme set and the first optimization scheme set are performed on the second expansion scheme, and the second optimization scheme set is determined.
Further, the first expansion scheme set, the first optimization scheme set and the adjustment scheme of the second optimization scheme set are integrated, namely, the first iteration scheme set is determined through combination, and accuracy of obtaining the optimization scheme is improved. According to the method for obtaining the one-time iterative scheme set, a plurality of iterative scheme sets are obtained by performing optimal direction adjustment for the optimal direction on the second expansion scheme set and the third expansion scheme set respectively.
The method provided by the embodiment of the disclosure further comprises the following steps:
identifying the target heat treatment process, determining process full-period temperature control data, and constructing a temperature control trend curve;
identifying curve trend of the temperature control trend curve, and determining a trend node which accords with a variable measurement standard, wherein the trend node is used as a temperature control variable node and is used as a first-order dividing node;
performing inverse distance weight analysis based on node spacing by taking the first-order dividing nodes as references, and determining second-order dividing nodes;
fitting the first-order dividing node and the second-order dividing node to serve as the stage node.
Specifically, a target heat treatment process is identified, process full-period temperature control data are determined, a multi-component trend coordinate system is determined according to a process periodic time zone and corresponding process periodic parameters in the process full-period temperature control data, and a temperature control trend curve is constructed according to the multi-component trend coordinate system.
Further, the curve trend of the temperature control trend curve is identified through the curve slope of the temperature control trend curve. And determining a chemotactic node which accords with the variable measurement standard according to the curve slope change node, and taking the chemotactic node as a temperature control variable node and a first-order dividing node.
Further, with the first-order dividing nodes as a reference, performing inverse distance weight analysis based on node distance, performing specific interpolation position analysis determination of neighborhood interpolation of the first-order dividing nodes, repeating iteration, controlling smaller interpolation distances, and determining an optimal dividing result as a second-order dividing node.
Further, multi-level dividing nodes of the first-level dividing nodes and the second-level dividing nodes are fitted to serve as staged nodes. And performing two-mode collaborative analysis fitting of temperature control variable analysis and inverse distance weight analysis to realize optimal staged configuration.
The method provided by the embodiment of the disclosure further comprises the following steps:
setting the number of iterative interpolation, carrying out neighborhood node distance measurement on the first-order divided nodes, and determining the node neighborhood distance;
taking the node neighborhood distance as constraint, taking an inverse distance weight as an interpolation mechanism, and carrying out interpolation processing once by combining the iterative interpolation quantity to determine an inserted node once, wherein the configuration weight is positively correlated with the reciprocal of the node neighborhood distance;
and repeating interpolation processing based on the iterative interpolation number by taking the primary interpolation node and the first-order partition node as references, and sequentially iterating until convergence conditions are met, and integrally determining the second-order partition node.
Specifically, the number of iterative interpolation is set to obtain a plurality of nodes. The number of iterative interpolation is obtained by custom setting according to actual conditions by a person skilled in the art. Further, the plurality of nodes includes a neighborhood node. The relation between the first-order dividing nodes and the neighborhood nodes in the temperature control trend curve is that the nodes are adjacent to each other. And measuring the distance between the first-order dividing node and the neighborhood node, and determining the neighborhood distance of the node.
Further, according to the correlation between trend and weight distance of each stage, the analysis of the optimal inserted node is carried out, namely, the specific interpolation position analysis and determination of the neighborhood interpolation are carried out on the basis of determining the divided nodes of the neighborhood distance of the node. Further, taking the node neighborhood distance as a constraint, taking the inverse distance weight as an interpolation mechanism, and carrying out interpolation processing once by combining the iterative interpolation quantity to determine an inserted node once, wherein the configuration weight is positively correlated with the reciprocal of the node neighborhood distance. The smaller the distance between the determined divided node and the node to be inserted is, the larger the influence of the divided node on the node to be inserted is, and the inverse distance weight is inversely proportional to the node neighborhood distance.
Further, with the primary interpolation node and the first-order partition node as references, the interpolation processing based on the number of iterative interpolation is repeatedly performed, the iterative interpolation is sequentially performed, the smaller interpolation distance is controlled until the convergence condition is met, the second-order partition node is integrally determined, and the optimal segmentation result is determined. The iterative interpolation to obtain the second-order dividing node can improve the accuracy of obtaining the optimal dividing result.
The method provided by the embodiment of the disclosure further comprises the following steps:
identifying the staged nodes and determining staged temperature control situations of stages of each adjacent node;
the stable temperature control state and the trend temperature control state are used as standards, the staged temperature control situation is matched and divided, and a plurality of fuzzy control time zones and a plurality of precise control time zones are determined;
combining the process sequence, and integrating the positive serialization sequences of the fuzzy control time zones and the accurate control time zones;
and determining a differential temperature control standard mapped to each control time zone by taking the staged temperature control characteristic as a reference.
Specifically, the staged nodes are identified, and staged temperature control situations of each adjacent node stage are determined. The staged temperature control situation comprises a stable temperature control state and a trend temperature control state. For example, by identifying a target heat treatment process, determining process full-cycle temperature control data, constructing a temperature control trend curve, and determining a stable temperature control state and a trend temperature control state according to the inclination degree of the slope of the curve.
Furthermore, the stable temperature control state and the trend temperature control state are used as standards, the staged temperature control situation is matched and divided, and the constant temperature control is carried out for the stable control stage, namely the stable temperature control state, so that the control requirement is less. And the variable temperature control is carried out by approaching to the temperature control state, dynamic variables such as control amplitude and the like are required to be controlled on the basis of parameter control, the control precision is higher, and then a plurality of fuzzy control time zones and a plurality of precise control time zones are determined.
Further, a process sequence is determined based on the target heat treatment process. Matching the fuzzy control time zones, the precise control time zones and the process sequence, and integrating the positive serialization sequences of the fuzzy control time zones and the precise control time zones according to the determination of the process sequence.
Further, based on the stepwise temperature control characteristic, a differential temperature control standard of constant temperature control and variable temperature control mapped to each control time zone is determined. Wherein, the temperature control standard and the precision requirement of different stages are different, and then improve the temperature control accuracy.
The method provided by the embodiment of the disclosure further comprises the following steps:
returning the real-time temperature control data, wherein the real-time temperature control data comprises equipment parameter control data and monitoring acquisition data;
traversing the differential temperature control standard to match, and determining the temperature control deviation degree based on the deviation measurement of the real-time temperature control data;
and if the temperature control deviation degree does not meet the deviation threshold value, determining feedback adjustment data based on the temperature control deviation degree, and generating a feedback adjustment instruction.
Specifically, real-time temperature control data is returned, wherein the real-time temperature control data comprises equipment parameter control data and monitoring acquisition data. Wherein, the equipment parameter control data is temperature control parameter data of the heat treatment equipment. The monitoring and collecting data are actual temperature change data of the heat treatment process. Illustratively, the monitoring acquisition data is acquired by a temperature sensor.
Further, the differential temperature control standard is sequentially accessed to be matched with the real-time temperature control data, deviation measurement based on the real-time temperature control data is carried out, namely, the deviation measurement of the differential temperature control standard and the real-time temperature control data is carried out, and the deviation is determined as the temperature control deviation degree.
Further, if the temperature control deviation degree does not meet the deviation threshold, the temperature control deviation degree is smaller, feedback adjustment data based on the temperature control deviation degree is determined, and a feedback adjustment instruction is generated. If the temperature control deviation degree meets the deviation threshold, the temperature control deviation degree is larger, feedback adjustment data based on the temperature control deviation degree meeting the deviation threshold is determined, and a feedback adjustment instruction is generated. The deviation threshold is obtained by custom setting according to actual conditions by a person skilled in the art. Further, the temperature control data obtained through real-time monitoring can improve the temperature control efficiency and accuracy.
Example two
Based on the same inventive concept as the intelligent temperature control method for the bearing heat treatment process in the foregoing embodiments, as shown in fig. 2, the present disclosure further provides an intelligent temperature control system for the bearing heat treatment process, the system comprising:
the initial heat treatment process obtaining module 11 is used for reading basic configuration data based on a target bearing, and determining an initial heat treatment process, wherein the initial heat treatment process is a universal heat treatment process conforming to a quality standard;
a target heat treatment process obtaining module 12, wherein the target heat treatment process obtaining module 12 is used for determining a temperature control influence factor of scene, and executing disturbance expansion and competition equalization optimization based on the initial heat treatment process in combination with a process optimizing module, and determining a target heat treatment process, and the process optimizing module is embedded with disturbance constraint conditions and competition assimilation mechanisms;
the staged node configuration module 13 is used for performing temperature control variable analysis and inverse distance weight analysis in the self-adaptive segmentation model aiming at the target heat treatment process, and fitting analysis results to configure staged nodes;
the accurate control time zone obtaining module 14, wherein the accurate control time zone obtaining module 14 is configured to set a fuzzy control time zone and an accurate control time zone based on the staged node, the fuzzy control time zone is determined based on a stable temperature control state, the accurate control time zone is determined based on a trend temperature control state, and a differential temperature control standard is identified;
a step-wise stepwise temperature control module 15, where the step-wise stepwise temperature control module 15 is configured to perform step-wise stepwise temperature control of the target heat treatment process based on the fuzzy control time zone and the precise control time zone;
the real-time feedback temperature control management module 16 is used for synchronously carrying out bearing heat treatment monitoring, returning real-time temperature control data, carrying out judgment of mapping differential temperature control standards and executing real-time feedback temperature control management.
Further, the system further comprises:
the disturbance constraint condition obtaining module is used for executing the mapping of the temperature control influence factor and the initial heat treatment process and determining a disturbance constraint condition;
the target expansion scheme set acquisition module is used for carrying out random disturbance expansion of the initial heat treatment process by taking the disturbance constraint condition as a reference to determine a target expansion scheme set;
the optimization scheme set acquisition module is used for carrying out scheme division and optimal direction assimilation based on a preset proportion on the target expansion scheme set, and repeatedly iterating to determine an optimization scheme set;
and the target heat treatment process obtaining module is used for checking and selecting an optimal scheme based on the optimal scheme set to serve as the target heat treatment process.
Further, the system further comprises:
the positive serialization ordering module is used for executing positive serialization ordering based on the priority state on the target expansion scheme set, intercepting a first expansion scheme set, a second expansion scheme set and a third expansion scheme set based on the preset proportion, and presenting an increase situation by the preset proportion;
the first optimization scheme set acquisition module is used for executing random matching and optimal direction adjustment on the second expansion scheme by taking the first expansion scheme set as an optimal direction to determine a first optimization scheme set;
the second optimization scheme set obtaining module is used for executing random matching and optimal direction adjustment on the second expansion scheme by taking the first expansion scheme set and the first optimization scheme set as optimal directions, and determining a second optimization scheme set;
the primary iteration scheme set obtaining module is used for integrating the first expansion scheme set, the first optimization scheme set and the second optimization scheme set and determining a primary iteration scheme set.
Further, the system further comprises:
the temperature control trend curve construction module is used for identifying the target heat treatment process, determining process full-period temperature control data and constructing a temperature control trend curve;
the first-order dividing node obtaining module is used for identifying curve trend of the temperature control trend curve, determining a trend node which accords with a variable measurement standard, and taking the trend node as a temperature control variable node and a first-order dividing node;
the second-order dividing node obtaining module is used for carrying out inverse distance weight analysis based on the node distance by taking the first-order dividing node as a reference to determine a second-order dividing node;
and the staged node obtaining module is used for fitting the first-order dividing node and the second-order dividing node to be used as the staged node.
Further, the system further comprises:
the node neighborhood distance obtaining module is used for setting iterative interpolation quantity, carrying out neighborhood node distance measurement on the first-order divided nodes and determining node neighborhood distance;
the primary interpolation node obtaining module is used for carrying out primary interpolation processing by taking the node neighborhood distance as a constraint and taking the inverse distance weight as an interpolation mechanism and combining the iterative interpolation quantity to determine a primary interpolation node, wherein the configuration weight is positively correlated with the reciprocal of the node neighborhood distance;
the second-order partition node obtaining module is used for repeatedly carrying out interpolation processing based on the iterative interpolation number by taking the primary insertion node and the first-order partition node as references, and sequentially iterating until convergence conditions are met, and integrating and determining the second-order partition node.
Further, the system further comprises:
the system comprises a staged temperature control situation obtaining module, a staged temperature control situation determining module and a program module, wherein the staged temperature control situation obtaining module is used for identifying staged nodes and determining staged temperature control situations of stages of each adjacent node;
the matching and dividing module is used for matching and dividing the staged temperature control situation by taking the stable temperature control state and the trend temperature control state as standards to determine a plurality of fuzzy control time zones and a plurality of precise control time zones;
the positive serialization sequence integration module is used for integrating the positive serialization sequences of the fuzzy control time zones and the precise control time zones by combining the process sequence;
the differential temperature control standard obtaining module is used for determining differential temperature control standards mapped to each control time zone by taking the staged temperature control characteristics as a reference.
Further, the system further comprises:
the real-time temperature control data acquisition module is used for returning the real-time temperature control data, and the real-time temperature control data comprises equipment parameter control data and monitoring acquisition data;
the temperature control deviation degree obtaining module is used for traversing the differential temperature control standard to match, measuring deviation based on the real-time temperature control data and determining the temperature control deviation degree;
and the feedback adjustment instruction obtaining module is used for determining feedback adjustment data based on the temperature control deviation degree and generating a feedback adjustment instruction if the temperature control deviation degree does not meet a deviation threshold value.
The specific example of the intelligent temperature control method for the bearing heat treatment process in the first embodiment is also applicable to the intelligent temperature control system for the bearing heat treatment process in the present embodiment, and the intelligent temperature control system for the bearing heat treatment process in the present embodiment is clearly known to those skilled in the art from the foregoing detailed description of the intelligent temperature control method for the bearing heat treatment process, so that the detailed description thereof will not be repeated for brevity. The device disclosed in the embodiment corresponds to the method disclosed in the embodiment, so that the description is simpler, and the relevant points refer to the description of the method.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (4)
1. An intelligent temperature control method for a bearing heat treatment process, which is characterized by comprising the following steps:
reading basic configuration data based on a target bearing, and determining an initial heat treatment process, wherein the initial heat treatment process is a universal heat treatment process conforming to a quality standard;
determining a temperature control influence factor of scene, combining a process optimizing module, executing disturbance expansion and competition and assimilation optimizing based on the initial heat treatment process, and determining a target heat treatment process, wherein a disturbance constraint condition and a competition and assimilation mechanism are embedded in the process optimizing module;
aiming at the target heat treatment process, temperature control variable analysis and inverse distance weight analysis are carried out in a self-adaptive segmentation model, and a fitting analysis result is used for configuring a staged node;
setting a fuzzy control time zone and an accurate control time zone based on the staged node, wherein the fuzzy control time zone is determined based on a stable temperature control state, the accurate control time zone is determined based on a trend temperature control state, and a differential temperature control standard is marked;
taking the fuzzy control time zone and the precise control time zone as references, executing the step-by-step staged temperature control of the target heat treatment process;
synchronously carrying out bearing heat treatment monitoring, returning real-time temperature control data, judging a mapping differential temperature control standard, and executing real-time feedback temperature control management;
performing disturbance expansion and competition equalization optimization based on the initial heat treatment process, including:
executing the mapping of the temperature control influence factor and the initial heat treatment process, and determining disturbance constraint conditions;
taking the disturbance constraint condition as a reference, carrying out random disturbance expansion of the initial heat treatment process, and determining a target expansion scheme set;
carrying out scheme division and optimal direction assimilation based on a preset proportion on the target expansion scheme set, and repeatedly iterating to determine an optimal scheme set;
based on the optimized scheme set, checking and selecting an optimal scheme as the target heat treatment process;
and carrying out scheme division and optimal orientation assimilation based on a preset proportion on the target expansion scheme set, wherein the scheme division and optimal orientation assimilation comprises the following steps:
performing positive sequencing based on the priority on the target expansion scheme set, intercepting a first expansion scheme set, a second expansion scheme set and a third expansion scheme set based on the preset proportion, and presenting an increase situation by the preset proportion;
taking the first expansion scheme set as an optimization direction, executing random matching and optimization direction adjustment on the second expansion scheme, and determining a first optimization scheme set;
taking the first expansion scheme set and the first optimization scheme set as optimization directions, executing random matching and optimization direction adjustment on the second expansion scheme, and determining a second optimization scheme set;
integrating the first expansion scheme set, the first optimization scheme set and the second optimization scheme set to determine an iteration scheme set;
performing temperature controlled variable analysis and inverse distance weight analysis, comprising:
identifying the target heat treatment process, determining process full-period temperature control data, and constructing a temperature control trend curve;
identifying curve trend of the temperature control trend curve, and determining a trend node which accords with a variable measurement standard, wherein the trend node is used as a temperature control variable node and is used as a first-order dividing node;
performing inverse distance weight analysis based on node spacing by taking the first-order dividing nodes as references, and determining second-order dividing nodes;
fitting the first-order dividing node and the second-order dividing node to serve as the staged node;
performing inverse distance weight analysis based on node spacing, comprising:
setting the number of iterative interpolation, carrying out neighborhood node distance measurement on the first-order divided nodes, and determining the node neighborhood distance;
taking the node neighborhood distance as constraint, taking an inverse distance weight as an interpolation mechanism, and carrying out interpolation processing once by combining the iterative interpolation quantity to determine an inserted node once, wherein the configuration weight is positively correlated with the reciprocal of the node neighborhood distance;
and repeating interpolation processing based on the iterative interpolation number by taking the primary interpolation node and the first-order partition node as references, and sequentially iterating until convergence conditions are met, and integrally determining the second-order partition node.
2. The method of claim 1, wherein setting the fuzzy control time zone and the precise control time zone based on the staging node comprises:
identifying the staged nodes and determining staged temperature control situations of stages of each adjacent node;
the stable temperature control state and the trend temperature control state are used as standards, the staged temperature control situation is matched and divided, and a plurality of fuzzy control time zones and a plurality of precise control time zones are determined;
combining the process sequence, and integrating the positive serialization sequences of the fuzzy control time zones and the accurate control time zones;
and determining a differential temperature control standard mapped to each control time zone by taking the staged temperature control characteristic as a reference.
3. The method of claim 1, characterized in that the method comprises:
returning the real-time temperature control data, wherein the real-time temperature control data comprises equipment parameter control data and monitoring acquisition data;
traversing the differential temperature control standard to match, and determining the temperature control deviation degree based on the deviation measurement of the real-time temperature control data;
and if the temperature control deviation degree does not meet the deviation threshold value, determining feedback adjustment data based on the temperature control deviation degree, and generating a feedback adjustment instruction.
4. Intelligent temperature control system for a bearing heat treatment process, characterized in that it is adapted to implement the intelligent temperature control method for a bearing heat treatment process according to any one of claims 1-3, said system comprising:
the initial heat treatment process obtaining module is used for reading basic configuration data based on a target bearing and determining an initial heat treatment process, wherein the initial heat treatment process is a universal heat treatment process conforming to a quality standard;
the target heat treatment process obtaining module is used for determining a temperature control influence factor of scene, combining with the process optimizing module, executing disturbance expansion and competition and assimilation optimizing based on the initial heat treatment process, and determining a target heat treatment process, wherein a disturbance constraint condition and a competition and assimilation mechanism are embedded in the process optimizing module;
the staged node configuration module is used for carrying out temperature control variable analysis and inverse distance weight analysis in the self-adaptive segmentation model aiming at the target heat treatment process, and fitting analysis results to configure staged nodes;
the precise control time zone obtaining module is used for setting a fuzzy control time zone and a precise control time zone based on the staged node, wherein the fuzzy control time zone is determined based on a stable temperature control state, the precise control time zone is determined based on a trend temperature control state, and a differential temperature control standard is marked;
the step-by-step stepwise temperature control module is used for executing step-by-step stepwise temperature control of the target heat treatment process by taking the fuzzy control time zone and the precise control time zone as references;
and the real-time feedback temperature control management module is used for synchronously carrying out bearing heat treatment monitoring, returning real-time temperature control data, judging a mapping difference temperature control standard and executing real-time feedback temperature control management.
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