CN117854655A - Method and system for optimizing uniformity of noble metal addition in titanium alloy preparation - Google Patents
Method and system for optimizing uniformity of noble metal addition in titanium alloy preparation Download PDFInfo
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- 229910000510 noble metal Inorganic materials 0.000 title claims abstract description 152
- 229910001069 Ti alloy Inorganic materials 0.000 title claims abstract description 106
- 238000002360 preparation method Methods 0.000 title claims abstract description 69
- 238000000034 method Methods 0.000 title claims abstract description 59
- 238000012545 processing Methods 0.000 claims abstract description 138
- 230000002159 abnormal effect Effects 0.000 claims abstract description 113
- 238000012544 monitoring process Methods 0.000 claims abstract description 34
- 230000001105 regulatory effect Effects 0.000 claims abstract description 30
- 230000001276 controlling effect Effects 0.000 claims abstract description 26
- 239000010970 precious metal Substances 0.000 claims abstract description 25
- 238000004519 manufacturing process Methods 0.000 claims description 51
- 239000011159 matrix material Substances 0.000 claims description 41
- 238000003756 stirring Methods 0.000 claims description 26
- 230000008569 process Effects 0.000 claims description 21
- 238000005457 optimization Methods 0.000 claims description 14
- 230000007797 corrosion Effects 0.000 claims description 8
- 238000005260 corrosion Methods 0.000 claims description 8
- 238000006243 chemical reaction Methods 0.000 claims description 7
- 230000007246 mechanism Effects 0.000 claims description 4
- 238000003384 imaging method Methods 0.000 claims description 3
- 239000000956 alloy Substances 0.000 abstract description 14
- 229910045601 alloy Inorganic materials 0.000 abstract description 11
- 239000002994 raw material Substances 0.000 abstract description 5
- 230000000875 corresponding effect Effects 0.000 description 68
- 230000007704 transition Effects 0.000 description 18
- 238000002156 mixing Methods 0.000 description 11
- 230000035882 stress Effects 0.000 description 8
- 238000003860 storage Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 230000007547 defect Effects 0.000 description 4
- 239000000843 powder Substances 0.000 description 4
- RTAQQCXQSZGOHL-UHFFFAOYSA-N Titanium Chemical compound [Ti] RTAQQCXQSZGOHL-UHFFFAOYSA-N 0.000 description 3
- 238000009826 distribution Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 239000010936 titanium Substances 0.000 description 3
- 229910052719 titanium Inorganic materials 0.000 description 3
- 238000012546 transfer Methods 0.000 description 3
- 238000009827 uniform distribution Methods 0.000 description 3
- 230000002950 deficient Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 238000003723 Smelting Methods 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 238000005275 alloying Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005266 casting Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 230000000977 initiatory effect Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000008646 thermal stress Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
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Abstract
The invention relates to the technical field of titanium alloy preparation, in particular to a method and a system for optimizing the uniformity of noble metal addition in titanium alloy preparation. Comparing the real-time working parameters of the target equipment in the preset time period with the preset working parameters of the target equipment in the corresponding preset time period to monitor and analyze the working state of the target equipment and generate a monitoring result; if the first monitoring result is the first monitoring result, the target equipment is not regulated and controlled; if the second monitoring result indicates that the working parameter state of the target equipment is abnormal in the preset time period, acquiring real-time processing image information, identifying and processing the real-time processing image information to obtain a precious metal uniformity real-time processing working condition result, and regulating and controlling the target equipment according to the precious metal uniformity real-time processing working condition result. The method can ensure that the noble metal and the titanium alloy raw materials are uniformly mixed by intelligently setting and accurately controlling the working parameters of the equipment, thereby improving the uniformity of the alloy.
Description
Technical Field
The invention relates to the technical field of titanium alloy preparation, in particular to a method and a system for optimizing the uniformity of noble metal addition in titanium alloy preparation.
Background
Titanium alloys are an alloy material formed by alloying titanium and a noble metal. The titanium alloy has higher strength and corrosion resistance, and also has lower density and good processability, so the titanium alloy is widely applied in the fields of aerospace, medical equipment, chemical industry, automobile manufacturing and the like. In preparing titanium alloys, the method steps of uniformly adding noble metals to the titanium alloy generally include pretreatment, mixing, smelting, rolling, or casting. When preparing titanium alloy, the uniformity of mixing of titanium and noble metal directly influences the uniformity of the performance of the final titanium alloy material, if noble metal and titanium alloy are mixed unevenly, uneven distribution of noble metal components in the alloy can be caused, so that the mechanical property, corrosion resistance and other physical and chemical properties of the alloy are influenced, therefore, the mixing process is a serious process step, noble metal powder and titanium alloy raw materials are generally required to be uniformly mixed in mixing equipment for controlling noble metal addition, but the conventional mixing equipment is difficult to ensure that noble metal powder is uniformly dispersed in the titanium alloy raw materials in the mixing process, so that the uniformity of mixing is poor, the intelligent degree is low, and the accurate control requirement on the uniformity of noble metal addition in the titanium alloy preparation process is difficult to be met, so that the yield of the titanium alloy finished product is low.
Disclosure of Invention
The invention overcomes the defect of low uniformity of noble metal addition in the prior art, and provides a method and a system for optimizing the uniformity of noble metal addition in the preparation of titanium alloy.
The technical scheme adopted by the invention for achieving the purpose is as follows:
the invention discloses a uniformity optimization method for noble metal addition in titanium alloy preparation, which comprises the following steps:
obtaining target performance requirements of the titanium alloy to be prepared, and extracting the target performance requirements of the titanium alloy to be prepared from a scheme knowledge base constructed in advance to obtain a preset preparation scheme corresponding to the titanium alloy to be prepared;
generating preset working parameters of target equipment in the production process according to the preset preparation scheme, and controlling the target equipment to process and produce based on the preset working parameters;
continuously collecting real-time working parameters of the target equipment in a preset time period in the processing and production process of the target equipment, and comparing the real-time working parameters of the target equipment in the preset time period with preset working parameters of the corresponding preset time period to monitor and analyze the working state of the target equipment so as to generate a monitoring result;
if the first monitoring result indicates that the working parameter state of the target equipment is normal in the preset time period, the regulation and control processing of the target equipment is not carried out;
If the second monitoring result indicates that the working parameter state of the target equipment is abnormal in the preset time period, acquiring real-time processing image information, identifying and processing the real-time processing image information to obtain a precious metal uniformity real-time processing working condition result, and regulating and controlling the target equipment according to the precious metal uniformity real-time processing working condition result.
Further, in a preferred embodiment of the present invention, the target performance requirement of the titanium alloy to be prepared is obtained, and the preset preparation scheme corresponding to the preparation of the titanium alloy to be prepared is extracted from a scheme knowledge base constructed in advance according to the target performance requirement of the titanium alloy to be prepared, specifically:
preparing preset preparation schemes corresponding to the titanium alloy for preparing various preset performance requirements in advance, and compressing and binding the preset preparation schemes corresponding to the titanium alloy for preparing various preset performance requirements into a plurality of scheme data packets;
constructing a knowledge base, and importing the compressed and bundled scheme data packet into the knowledge base to obtain a scheme knowledge base;
acquiring target production order information, and acquiring target performance requirements of the titanium alloy to be prepared according to the target production order information;
Extracting preset performance requirements corresponding to each data packet from the scheme knowledge base, and calculating the matching degree between the target performance requirements and various preset performance requirements through an edit distance algorithm;
sorting the calculated matching degrees based on the numerical values, extracting the maximum matching degree after sorting is completed, and obtaining a preset performance requirement corresponding to the maximum matching degree;
extracting a corresponding scheme data packet from the scheme knowledge base according to a preset performance requirement corresponding to the maximum matching degree, and obtaining a preset preparation scheme corresponding to the preparation of the titanium alloy to be prepared according to the extracted scheme data packet;
wherein the performance requirements include strength, hardness, toughness, and corrosion resistance; the preset preparation scheme comprises noble metal adding types, noble metal adding proportion, stirring temperature, stirring time and stirring speed.
Further, in a preferred embodiment of the present invention, the real-time working parameter of the target device in the preset time period is compared with the preset working parameter of the corresponding preset time period, so as to monitor and analyze the working state of the target device, and generate a monitoring result, which specifically includes:
Calculating the difference value between the real-time working parameter and the preset working parameter of the target equipment at each same time point in the preset time period to obtain the working parameter deviation value between the real-time working parameter and the preset working parameter at each time point;
a preset deviation value threshold range, and whether the deviation value of the working parameter between the real-time working parameter and the preset working parameter at each moment is within the preset deviation value threshold range is respectively judged;
if the working parameter deviation value between the real-time working parameter of a certain moment and the preset working parameter is within the preset deviation value threshold range, marking the real-time working parameter corresponding to the moment as a normal parameter;
if the working parameter deviation value between the real-time working parameter of a certain moment and the preset working parameter is not in the preset deviation value threshold range, marking the real-time working parameter corresponding to the moment as an abnormal parameter;
counting the number of normal parameters and abnormal parameters of the target equipment in a preset time period, and carrying out ratio processing on the number of the normal parameters and the abnormal parameters of the target equipment in the preset time period to obtain a ratio value;
judging whether the ratio value is larger than a preset ratio value or not; if the ratio value is larger than a preset ratio value, generating a first monitoring result; and if the ratio value is not greater than the preset ratio value, generating a second monitoring result.
Further, in a preferred embodiment of the present invention, real-time processing image information is obtained, and the real-time processing image information is identified, so as to obtain a real-time processing working condition result of noble metal uniformity, which specifically includes:
acquiring abnormal working condition image information corresponding to various noble metal uniformity abnormal working condition types of target equipment in the processing process through a big data network, performing matrix conversion processing on the abnormal working condition image information to generate a gray level co-occurrence matrix corresponding to the abnormal working condition image information, and thus obtaining an abnormal gray level co-occurrence matrix corresponding to the various noble metal uniformity abnormal working condition types;
constructing a knowledge graph, and importing various noble metal uniformity abnormal working condition types and abnormal gray level co-occurrence matrixes corresponding to the noble metal uniformity abnormal working condition types into the knowledge graph;
acquiring real-time processing image information through an imaging mechanism carried on target equipment, and performing matrix conversion treatment on the real-time processing image information to obtain a real-time gray level co-occurrence matrix corresponding to a precious metal uniformity real-time processing working condition;
introducing an Euclidean distance algorithm, and calculating the coincidence ratio between a real-time gray level co-occurrence matrix corresponding to the real-time processing working condition of the noble metal uniformity and an abnormal gray level co-occurrence matrix corresponding to the abnormal working condition type of various noble metal uniformity through the Euclidean distance algorithm to obtain a plurality of coincidence ratios;
Comparing the multiple coincidence degrees with a preset coincidence degree threshold value respectively; if the multiple overlapping ratios are not greater than the preset overlapping ratio threshold value, marking the real-time processing working condition result of the noble metal uniformity as normal;
if the overlap ratio is larger than a preset overlap ratio threshold value, marking the real-time processing working condition result of the noble metal uniformity as abnormal, generating a search tag according to an abnormal gray level co-occurrence matrix corresponding to the overlap ratio larger than the preset overlap ratio threshold value, and searching the knowledge graph based on the search tag to obtain the type of the noble metal uniformity abnormal working condition with the abnormal noble metal uniformity real-time processing working condition result.
Further, in a preferred embodiment of the present invention, the target device is regulated according to the real-time processing condition result of the noble metal uniformity, specifically:
if the noble metal uniformity real-time processing working condition result is normal, acquiring a first real-time working parameter of target equipment of the current real-time processing time node, and acquiring a preset working parameter of the current real-time processing time node;
calculating a difference value between a first real-time working parameter of target equipment of the real-time processing node and a preset working parameter to obtain a working parameter difference value;
And generating a regulation and control scheme according to the working parameter difference value, and regulating and controlling the first real-time working parameter of the target equipment according to the regulation and control scheme.
Further, in a preferred embodiment of the present invention, the method further comprises the steps of:
if the noble metal uniformity real-time processing working condition result is abnormal, acquiring a noble metal uniformity abnormal working condition type with the noble metal uniformity real-time processing working condition result being abnormal; acquiring an abnormal processing time node with an abnormal precious metal uniformity real-time processing working condition result;
acquiring an electronic production diary of the same type of equipment as the target equipment in a production workshop based on an Internet of things mode, and extracting regulation measures of the same type of equipment as the target equipment in the production workshop when the abnormal processing time node regulates the type of the abnormal working condition of the noble metal uniformity from the electronic production diary to obtain a plurality of regulation measures;
the noble metal uniformity in the titanium alloy finished product regulated by each regulation measure is obtained from a corresponding electronic production diary, and the noble metal uniformity in the titanium alloy finished product regulated by each regulation measure is subjected to size sorting treatment, so that the maximum noble metal uniformity is obtained after sorting is finished;
And acquiring a regulation and control measure corresponding to the maximum noble metal uniformity, acquiring a second real-time working parameter of the target equipment of the current real-time processing time node, and regulating and controlling the second real-time working parameter of the target equipment according to the regulation and control measure corresponding to the maximum noble metal uniformity.
The invention discloses a uniformity optimization system for noble metal addition in titanium alloy preparation, which comprises a memory and a processor, wherein a program of a uniformity optimization method for noble metal addition in titanium alloy preparation is stored in the memory, and when the program of the uniformity optimization method for noble metal addition in titanium alloy preparation is executed by the processor, the following steps are realized:
obtaining target performance requirements of the titanium alloy to be prepared, and extracting the target performance requirements of the titanium alloy to be prepared from a scheme knowledge base constructed in advance to obtain a preset preparation scheme corresponding to the titanium alloy to be prepared;
generating preset working parameters of target equipment according to the preset preparation scheme, and controlling the target equipment to process and produce based on the preset working parameters;
Continuously collecting real-time working parameters of the target equipment in a preset time period in the processing and production process of the target equipment, and comparing the real-time working parameters of the target equipment in the preset time period with preset working parameters of the corresponding preset time period to monitor and analyze the working state of the target equipment so as to generate a monitoring result;
if the first monitoring result indicates that the working parameter state of the target equipment is normal in the preset time period, the regulation and control processing of the target equipment is not carried out;
if the second monitoring result indicates that the working parameter state of the target equipment is abnormal in the preset time period, acquiring real-time processing image information, identifying and processing the real-time processing image information to obtain a precious metal uniformity real-time processing working condition result, and regulating and controlling the target equipment according to the precious metal uniformity real-time processing working condition result.
The invention solves the technical defects existing in the background technology, and has the following beneficial effects: the method can ensure that the noble metal and the titanium alloy raw materials are uniformly mixed by intelligently setting and accurately controlling the working parameters of the equipment, thereby improving the uniformity of the alloy, ensuring the uniform distribution of the noble metal in the alloy, ensuring the content of the noble metal in the alloy to meet the requirements, improving the quality stability of the product and reducing the defective rate.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other embodiments of the drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is an overall process flow diagram of a method for optimizing the uniformity of noble metal addition in the preparation of a titanium alloy;
FIG. 2 is a partial process flow diagram of a method for optimizing the uniformity of noble metal addition in the preparation of a titanium alloy;
FIG. 3 is a system block diagram of a uniformity optimization system for noble metal addition in the preparation of titanium alloys.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
As shown in fig. 1, the first aspect of the present invention discloses a method for optimizing uniformity of noble metal addition in titanium alloy preparation, comprising the following steps:
s102: obtaining target performance requirements of the titanium alloy to be prepared, and extracting the target performance requirements of the titanium alloy to be prepared from a scheme knowledge base constructed in advance to obtain a preset preparation scheme corresponding to the titanium alloy to be prepared;
s104: generating preset working parameters of target equipment in the production process according to the preset preparation scheme, and controlling the target equipment to process and produce based on the preset working parameters;
s106: continuously collecting real-time working parameters of the target equipment in a preset time period in the processing and production process of the target equipment, and comparing the real-time working parameters of the target equipment in the preset time period with preset working parameters of the corresponding preset time period to monitor and analyze the working state of the target equipment so as to generate a monitoring result;
s108: if the first monitoring result indicates that the working parameter state of the target equipment is normal in the preset time period, the regulation and control processing of the target equipment is not carried out;
s110: if the second monitoring result indicates that the working parameter state of the target equipment is abnormal in the preset time period, acquiring real-time processing image information, identifying and processing the real-time processing image information to obtain a precious metal uniformity real-time processing working condition result, and regulating and controlling the target equipment according to the precious metal uniformity real-time processing working condition result.
Further, in a preferred embodiment of the present invention, the target performance requirement of the titanium alloy to be prepared is obtained, and the preset preparation scheme corresponding to the preparation of the titanium alloy to be prepared is extracted from a scheme knowledge base constructed in advance according to the target performance requirement of the titanium alloy to be prepared, specifically:
preparing preset preparation schemes corresponding to the titanium alloy for preparing various preset performance requirements in advance, and compressing and binding the preset preparation schemes corresponding to the titanium alloy for preparing various preset performance requirements into a plurality of scheme data packets;
constructing a knowledge base, and importing the compressed and bundled scheme data packet into the knowledge base to obtain a scheme knowledge base;
acquiring target production order information, and acquiring target performance requirements of the titanium alloy to be prepared according to the target production order information;
extracting preset performance requirements corresponding to each data packet from the scheme knowledge base, and calculating the matching degree between the target performance requirements and various preset performance requirements through an edit distance algorithm;
sorting the calculated matching degrees based on the numerical values, extracting the maximum matching degree after sorting is completed, and obtaining a preset performance requirement corresponding to the maximum matching degree;
Extracting a corresponding scheme data packet from the scheme knowledge base according to a preset performance requirement corresponding to the maximum matching degree, and obtaining a preset preparation scheme corresponding to the preparation of the titanium alloy to be prepared according to the extracted scheme data packet;
wherein the performance requirements include strength, hardness, toughness, and corrosion resistance; the preset preparation scheme comprises noble metal adding types, noble metal adding proportion, stirring temperature, stirring time and stirring speed. The target equipment is production equipment for mixing and stirring the titanium alloy powder and the noble metal powder in the mixing process step.
It should be noted that, preset preparation schemes corresponding to the preparation of the titanium alloy with various preset performance requirements are formulated in advance by related technicians, such as noble metal addition types, noble metal addition ratios, stirring temperatures, stirring time and stirring speed corresponding to the preparation of the titanium alloy with certain strength, hardness, toughness and corrosion resistance. And then, acquiring target production order information in target equipment, wherein the target production order is imported into the target equipment by an operator. And calculating the matching degree between the target performance requirement and various preset performance requirements through an edit distance algorithm, namely calculating the matching degree between the target strength, the target hardness, the target toughness and the target corrosion resistance of the titanium alloy to be prepared and the preset strength, the preset hardness, the preset toughness and the preset corrosion resistance of the titanium alloy to be prepared in a scheme knowledge base, so that a preset preparation scheme corresponding to the titanium alloy to be prepared is quickly matched in the scheme knowledge base. According to the preparation scheme in the intelligent matching scheme knowledge base, in the process of preparing titanium metal by target equipment, parameter setting does not need to be carried out by relying on human experience of operators, the influence of human experience is eliminated, the scrapping condition of products caused by human errors can be effectively reduced, the scrapping rate is reduced, and automatic production is realized. And the scheme matching algorithm is simple, the system operation difficulty can be effectively reduced, and the equipment response speed is improved, so that the production efficiency is improved.
Further, in a preferred embodiment of the present invention, the real-time working parameter of the target device in the preset time period is compared with the preset working parameter of the corresponding preset time period, so as to monitor and analyze the working state of the target device, and generate a monitoring result, which specifically includes:
calculating the difference value between the real-time working parameter and the preset working parameter of the target equipment at each same time point in the preset time period to obtain the working parameter deviation value between the real-time working parameter and the preset working parameter at each time point;
a preset deviation value threshold range, and whether the deviation value of the working parameter between the real-time working parameter and the preset working parameter at each moment is within the preset deviation value threshold range is respectively judged;
if the working parameter deviation value between the real-time working parameter of a certain moment and the preset working parameter is within the preset deviation value threshold range, marking the real-time working parameter corresponding to the moment as a normal parameter;
if the working parameter deviation value between the real-time working parameter of a certain moment and the preset working parameter is not in the preset deviation value threshold range, marking the real-time working parameter corresponding to the moment as an abnormal parameter;
Counting the number of normal parameters and abnormal parameters of the target equipment in a preset time period, and carrying out ratio processing on the number of the normal parameters and the abnormal parameters of the target equipment in the preset time period to obtain a ratio value;
judging whether the ratio value is larger than a preset ratio value or not; if the ratio value is larger than a preset ratio value, generating a first monitoring result; and if the ratio value is not greater than the preset ratio value, generating a second monitoring result.
It should be noted that, according to the preset preparation scheme, preset working parameters of the target equipment in the production process, such as preset noble metal adding types, noble metal adding proportion, stirring temperature, stirring time, stirring speed and the like, are generated, and then the target equipment is controlled to process and produce based on the preset working parameters; in the process of processing and producing the target equipment, continuously acquiring real-time working parameters of the target equipment at each moment point in a preset time period, and then comparing the real-time working parameters of the target equipment in the preset time period with preset working parameters of the corresponding preset time period. If the ratio value is larger than the preset ratio value, indicating that the working parameter state of the target equipment is normal in the preset time period, and not regulating and controlling the target equipment at the moment; and if the ratio value is not greater than the preset ratio value, indicating that the working parameter state of the target equipment is abnormal in the preset time period. The method can rapidly judge the state condition of the working parameters of the target equipment so as to realize the intelligent monitoring function of the target equipment. The preset deviation value threshold range is determined by a technical specification manual provided by a device manufacturer, namely, a difference value range result between a limit working parameter range of the device and a preset working parameter range of the device provided in the technical specification manual is calculated. The preset ratio value is obtained through working experience summary and experiment summary of technicians, and the preset ratio value is set to be more than or equal to 10, preferably 10 in the invention.
Further, in a preferred embodiment of the present invention, real-time processing image information is obtained, and the real-time processing image information is identified, so as to obtain a real-time processing working condition result of noble metal uniformity, which specifically includes:
acquiring abnormal working condition image information corresponding to various noble metal uniformity abnormal working condition types of target equipment in the processing process through a big data network, performing matrix conversion processing on the abnormal working condition image information to generate a gray level co-occurrence matrix corresponding to the abnormal working condition image information, and thus obtaining an abnormal gray level co-occurrence matrix corresponding to the various noble metal uniformity abnormal working condition types;
constructing a knowledge graph, and importing various noble metal uniformity abnormal working condition types and abnormal gray level co-occurrence matrixes corresponding to the noble metal uniformity abnormal working condition types into the knowledge graph;
acquiring real-time processing image information through an imaging mechanism carried on target equipment, and performing matrix conversion treatment on the real-time processing image information to obtain a real-time gray level co-occurrence matrix corresponding to a precious metal uniformity real-time processing working condition;
introducing an Euclidean distance algorithm, and calculating the coincidence ratio between a real-time gray level co-occurrence matrix corresponding to the real-time processing working condition of the noble metal uniformity and an abnormal gray level co-occurrence matrix corresponding to the abnormal working condition type of various noble metal uniformity through the Euclidean distance algorithm to obtain a plurality of coincidence ratios;
Comparing the multiple coincidence degrees with a preset coincidence degree threshold value respectively; if the multiple overlapping ratios are not greater than the preset overlapping ratio threshold value, marking the real-time processing working condition result of the noble metal uniformity as normal;
if the overlap ratio is larger than a preset overlap ratio threshold value, marking the real-time processing working condition result of the noble metal uniformity as abnormal, generating a search tag according to an abnormal gray level co-occurrence matrix corresponding to the overlap ratio larger than the preset overlap ratio threshold value, and searching the knowledge graph based on the search tag to obtain the type of the noble metal uniformity abnormal working condition with the abnormal noble metal uniformity real-time processing working condition result.
The noble metal uniformity abnormal working condition type comprises the working conditions that noble metal is concentrated at the edge part of a stirring barrel of equipment, the middle part of the edge of the stirring barrel, noble metal sinking and the like. The method comprises the steps of obtaining abnormal working condition image information corresponding to various noble metal uniformity abnormal working condition types of target equipment in the processing process through a big data network, such as working condition image information corresponding to the fact that noble metal is concentrated at the edge of an equipment stirring barrel.
The gray level co-occurrence matrix is a matrix for describing the texture characteristics of the image. It is a two-dimensional matrix representing the spatial relationship between pairs of pixels of different grey levels in an image. The conversion process is to first select a specific pixel interval and direction and then count the number of occurrences of all these pixel pairs in the image. A matrix is ultimately formed in which each element represents the symbiotic frequency of two pixel gray levels at a particular pixel spacing and orientation. The uniform distribution of noble metal is usually reflected in the texture characteristics of the material surface, and the texture characteristics can be extracted through the gray level co-occurrence matrix, so that the uniformity condition of the noble metal is reflected. And the gray level co-occurrence matrix includes statistical features on pixel spacing, direction and gray level, which can be used to describe the distribution of noble metals in the alloy, such as contrast, correlation, energy and inertia.
If the second monitoring result is that the working parameter state of the target equipment is abnormal in a preset time period, at this time, abnormal working conditions possibly occur due to the abnormal working parameters of the equipment, at this time, real-time processing image information is obtained through a camera mechanism carried on the target equipment, gray value processing and quantization processing are carried out on the real-time processing image information, so that a corresponding real-time gray level co-occurrence matrix is generated, then the coincidence degree between the real-time gray level co-occurrence matrix corresponding to the precious metal uniformity real-time processing working condition and the abnormal gray level co-occurrence matrix corresponding to various precious metal uniformity abnormal working condition types is calculated through an Euclidean distance algorithm, a plurality of coincidence degrees are obtained, and if the coincidence degrees are not larger than a preset coincidence degree threshold value, the condition that the equipment is abnormal in working parameters is not caused, at this time, the precious metal uniformity real-time processing result is marked as normal; if the degree of coincidence is larger than the preset degree of coincidence threshold, after the working parameter abnormality occurs, the equipment is described to trigger the noble metal uniformity abnormal working condition type, the noble metal uniformity real-time processing working condition result is marked as abnormal, at the moment, an abnormal gray level co-occurrence matrix corresponding to the degree of coincidence larger than the preset degree of coincidence threshold is obtained, then the noble metal uniformity abnormal working condition type corresponding to the abnormal gray level co-occurrence matrix is obtained by pairing in a knowledge graph according to the abnormal gray level co-occurrence matrix corresponding to the degree of coincidence larger than the preset degree of coincidence threshold, and if the noble metal uniformity abnormal working condition type is the noble metal uniformity abnormal working condition type such as the noble metal concentration at the edge part of the equipment stirring barrel or the noble metal concentration at the middle part of the equipment stirring barrel. The precious metal uniformity real-time processing working condition can be rapidly identified through the step, and a working condition identification result is obtained.
Further, in a preferred embodiment of the present invention, the target device is regulated according to the real-time processing condition result of the noble metal uniformity, specifically:
if the noble metal uniformity real-time processing working condition result is normal, acquiring a first real-time working parameter of target equipment of the current real-time processing time node, and acquiring a preset working parameter of the current real-time processing time node;
calculating a difference value between a first real-time working parameter of target equipment of the real-time processing node and a preset working parameter to obtain a working parameter difference value;
and generating a regulation and control scheme according to the working parameter difference value, and regulating and controlling the first real-time working parameter of the target equipment according to the regulation and control scheme.
It should be noted that, if the result of the real-time processing working condition of the uniformity of the noble metal is normal, the abnormal working condition of the noble metal is not induced although the abnormal working condition of the noble metal is generated, at this time, the first real-time working parameter of the target equipment of the current real-time processing time node is obtained, the difference between the first real-time working parameter of the target equipment of the real-time processing node and the preset working parameter is calculated, the working parameter difference is obtained, a regulation and control scheme is generated according to the working parameter difference, and the first real-time working parameter of the target equipment is regulated and controlled according to the regulation and control scheme, so that the abnormal working parameter of the equipment is regulated and controlled in time to be returned to the normal parameter range, thereby the equipment can normally operate, and uniformity in the noble metal mixing process is ensured.
As shown in fig. 2, in a preferred embodiment of the present invention, the method further comprises the following steps:
s202: if the noble metal uniformity real-time processing working condition result is abnormal, acquiring a noble metal uniformity abnormal working condition type with the noble metal uniformity real-time processing working condition result being abnormal; acquiring an abnormal processing time node with an abnormal precious metal uniformity real-time processing working condition result;
s204: acquiring an electronic production diary of the same type of equipment as the target equipment in a production workshop based on an Internet of things mode, and extracting regulation measures of the same type of equipment as the target equipment in the production workshop when the abnormal processing time node regulates the type of the abnormal working condition of the noble metal uniformity from the electronic production diary to obtain a plurality of regulation measures;
s206: the noble metal uniformity in the titanium alloy finished product regulated by each regulation measure is obtained from a corresponding electronic production diary, and the noble metal uniformity in the titanium alloy finished product regulated by each regulation measure is subjected to size sorting treatment, so that the maximum noble metal uniformity is obtained after sorting is finished;
s208: and acquiring a regulation and control measure corresponding to the maximum noble metal uniformity, acquiring a second real-time working parameter of the target equipment of the current real-time processing time node, and regulating and controlling the second real-time working parameter of the target equipment according to the regulation and control measure corresponding to the maximum noble metal uniformity.
The real-time working parameters are parameters such as real-time stirring temperature, stirring time and stirring speed of the target equipment. The first real-time working parameters are the real-time working parameters of the target equipment acquired after the judgment that the precious metal uniformity real-time processing working condition result is normal; the second real-time working parameter is the real-time working parameter of the target equipment acquired after the real-time processing working condition result of the noble metal uniformity is judged to be abnormal. There may be a certain time difference between the time nodes acquired by the first real-time operating parameter and the second real-time operating parameter.
The electronic production diary of the apparatus refers to an electronic recording system for recording key data, events and operation conditions during the operation of the production apparatus. It is commonly used in industrial production environments, and particularly for automated production lines and equipment, electronic production diaries are an important data management tool. The electronic production diary includes production events, equipment operation data records, fault reports, quality data, operation records and the like.
It should be noted that if the real-time processing condition of the uniformity of the noble metal is abnormal, at this time, by acquiring an electronic production diary (including an electronic production diary of the target device) of the same type of equipment as the target device in the production workshop, thereby acquiring a regulation and control measure when the abnormal processing time node regulates and controls the abnormal condition type of the noble metal, and acquiring the uniformity of the noble metal in the titanium alloy finished product regulated and controlled by each regulation and control measure, and then taking the regulation and control measure corresponding to the maximum uniformity of the noble metal as the regulation and control measure for regulating and controlling the abnormal condition type of the noble metal, thereby regulating and controlling the real-time working parameters of the target device, and if the noble metal is concentrated at the edge of the stirring barrel of the equipment, eliminating the abnormal condition by properly enlarging the stirring range. The corresponding regulation and control method can be generated according to the abnormal working condition type through the step, so that the equipment is regulated and controlled, the mixing uniformity is improved, and the product yield is improved.
In summary, the method can ensure that the noble metal and the titanium alloy raw materials are uniformly mixed by intelligently setting and precisely controlling the working parameters of the equipment, thereby improving the uniformity of the alloy, ensuring the uniform distribution of the noble metal in the alloy, ensuring that the content of the noble metal in the alloy meets the requirements, improving the quality stability of the product and reducing the defective rate.
Furthermore, the method comprises the following steps:
after the titanium alloy finished product is prepared, scanning and detecting the titanium alloy finished product by an ultrasonic detector to obtain ultrasonic data fed back by the titanium alloy finished product, and constructing a three-dimensional model diagram of the titanium alloy finished product according to the ultrasonic data;
performing finite element stress analysis on each preset position area of the three-dimensional model diagram of the titanium alloy finished product to obtain internal stress of each preset position area in the titanium alloy finished product, and comparing the internal stress of each preset position area with preset internal stress;
if the internal stress of a certain preset position area is larger than the preset internal stress, acquiring crack parameter information of the preset position area in the three-dimensional model diagram of the titanium alloy finished product, and acquiring a crack volume value in the preset position area according to the crack parameter information;
Comparing the crack volume value with the total volume value of the preset position area to obtain the crack occupancy rate of the preset position area; judging whether the crack occupancy rate is larger than a preset occupancy rate or not;
if the crack occupancy rate is larger than the preset occupancy rate, marking the preset position area as a noble metal uniformity abnormal area, and transmitting the noble metal uniformity abnormal area to a preset platform for display.
In the preparation of the titanium alloy, the unevenness of noble metal addition may cause stress concentration in the titanium alloy material, thereby increasing brittleness of the material and causing generation of cracks. In particular, during the heat treatment of the alloy, uneven noble metal distribution may cause localized thermal stress non-uniformity, thereby initiating crack defects, and thus, the uniformity of noble metal addition is correlated with the crack defects in the finished titanium alloy. The crack parameter information comprises parameters such as crack depth, length, width and the like, if the crack proportion is larger than the preset proportion, the situation that the noble metal uniformity is abnormal in the area of the titanium alloy finished product is extremely likely to occur, and the stress concentration in the area is caused, so that the brittleness of the material is increased, and the crack is generated.
Furthermore, the method comprises the following steps:
acquiring historical operation data information corresponding to the target equipment when various historical faults occur according to an electronic production diary of the target equipment, and defining the historical operation data information as fault characteristic data to obtain fault characteristic data corresponding to various historical faults;
defining a target device state, including a normal state and a fault state; counting the transfer times of the target equipment among different states according to the fault characteristic data, and calculating the transfer probability among the states of the target equipment according to the counted transfer times;
constructing a state transition probability matrix according to transition probabilities among the states of the target equipment, constructing a Markov model, and importing the state transition probability matrix constructed by the transition probabilities among the states of the target equipment into the Markov model for training to obtain a trained Markov model;
in the process of processing and producing target equipment, acquiring real-time operation data of the target equipment in a preset time period, and importing the real-time operation data into the trained Markov model for prediction to obtain real-time state transition probability of the target equipment;
If the real-time state transition probability of the target equipment is larger than the preset probability, the state transition type of the target equipment is obtained, if the state transition type of the target equipment is the preset type, early warning information is generated, and the early warning information is transmitted to a preset platform to be displayed.
The operation data include an operation voltage, an operation current, an operation temperature, and the like. The preset type is the fault state.
It should be noted that, the equipment is inevitably failed in the operation process, so how to effectively predict and monitor the state of the equipment is an important task in an automatic production workshop, because predicting and monitoring the state of the equipment can help to discover potential problems in advance, improve the operation efficiency of the equipment and optimize the production plan. And counting the transition times of the equipment between different states according to the historical fault data. For example, for two states i and j, the number of times the device transitions from state i to state j is counted. Based on the counted number of transitions, a transition probability between the states of the device is calculated, which may be calculated by dividing the number of transitions by the total number of state transitions. And arranging the calculated transition probability into a transition matrix form. The rows and columns of the transition matrix represent the various states of the device, respectively, and the elements in the matrix represent the transition probabilities from one state to another. In summary, the method can predict the faults of the target equipment in the production process, so that potential problems of the equipment can be found in advance, the running efficiency of the equipment and the optimization of the production plan are improved, and support is provided for the maintenance and management of the equipment.
As shown in fig. 3, the second aspect of the present invention discloses a uniformity optimization system for noble metal addition in titanium alloy preparation, the uniformity optimization system for noble metal addition in titanium alloy preparation includes a memory 10 and a processor 20, the memory 10 stores a uniformity optimization method program for noble metal addition in titanium alloy preparation, and when the uniformity optimization method program for noble metal addition in titanium alloy preparation is executed by the processor 20, the following steps are implemented:
obtaining target performance requirements of the titanium alloy to be prepared, and extracting the target performance requirements of the titanium alloy to be prepared from a scheme knowledge base constructed in advance to obtain a preset preparation scheme corresponding to the titanium alloy to be prepared;
generating preset working parameters of target equipment according to the preset preparation scheme, and controlling the target equipment to process and produce based on the preset working parameters;
continuously collecting real-time working parameters of the target equipment in a preset time period in the processing and production process of the target equipment, and comparing the real-time working parameters of the target equipment in the preset time period with preset working parameters of the corresponding preset time period to monitor and analyze the working state of the target equipment so as to generate a monitoring result;
If the first monitoring result indicates that the working parameter state of the target equipment is normal in the preset time period, the regulation and control processing of the target equipment is not carried out;
if the second monitoring result indicates that the working parameter state of the target equipment is abnormal in the preset time period, acquiring real-time processing image information, identifying and processing the real-time processing image information to obtain a precious metal uniformity real-time processing working condition result, and regulating and controlling the target equipment according to the precious metal uniformity real-time processing working condition result.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
The foregoing is merely illustrative embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think about variations or substitutions within the technical scope of the present invention, and the invention should be covered. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (7)
1. The uniformity optimization method for noble metal addition in the preparation of the titanium alloy is characterized by comprising the following steps of:
obtaining target performance requirements of the titanium alloy to be prepared, and extracting the target performance requirements of the titanium alloy to be prepared from a scheme knowledge base constructed in advance to obtain a preset preparation scheme corresponding to the titanium alloy to be prepared;
generating preset working parameters of target equipment in the production process according to the preset preparation scheme, and controlling the target equipment to process and produce based on the preset working parameters;
continuously collecting real-time working parameters of the target equipment in a preset time period in the processing and production process of the target equipment, and comparing the real-time working parameters of the target equipment in the preset time period with preset working parameters of the corresponding preset time period to monitor and analyze the working state of the target equipment so as to generate a monitoring result;
if the first monitoring result indicates that the working parameter state of the target equipment is normal in the preset time period, the regulation and control processing of the target equipment is not carried out;
if the second monitoring result indicates that the working parameter state of the target equipment is abnormal in the preset time period, acquiring real-time processing image information, identifying and processing the real-time processing image information to obtain a precious metal uniformity real-time processing working condition result, and regulating and controlling the target equipment according to the precious metal uniformity real-time processing working condition result.
2. The method for optimizing the uniformity of noble metal addition in the preparation of the titanium alloy according to claim 1, wherein the method is characterized in that the target performance requirement of the titanium alloy to be prepared is obtained, and the preset preparation scheme corresponding to the preparation of the titanium alloy to be prepared is extracted from a scheme knowledge base constructed in advance according to the target performance requirement of the titanium alloy to be prepared, specifically:
preparing preset preparation schemes corresponding to the titanium alloy for preparing various preset performance requirements in advance, and compressing and binding the preset preparation schemes corresponding to the titanium alloy for preparing various preset performance requirements into a plurality of scheme data packets;
constructing a knowledge base, and importing the compressed and bundled scheme data packet into the knowledge base to obtain a scheme knowledge base;
acquiring target production order information, and acquiring target performance requirements of the titanium alloy to be prepared according to the target production order information;
extracting preset performance requirements corresponding to each data packet from the scheme knowledge base, and calculating the matching degree between the target performance requirements and various preset performance requirements through an edit distance algorithm;
sorting the calculated matching degrees based on the numerical values, extracting the maximum matching degree after sorting is completed, and obtaining a preset performance requirement corresponding to the maximum matching degree;
Extracting a corresponding scheme data packet from the scheme knowledge base according to a preset performance requirement corresponding to the maximum matching degree, and obtaining a preset preparation scheme corresponding to the preparation of the titanium alloy to be prepared according to the extracted scheme data packet;
wherein the performance requirements include strength, hardness, toughness, and corrosion resistance; the preset preparation scheme comprises noble metal adding types, noble metal adding proportion, stirring temperature, stirring time and stirring speed.
3. The method for optimizing the uniformity of noble metal addition in the preparation of titanium alloy according to claim 1, wherein the method is characterized in that the real-time working parameters of the target equipment in a preset time period are compared with the preset working parameters in a corresponding preset time period, so as to monitor and analyze the working state of the target equipment, and a monitoring result is generated, and specifically comprises the following steps:
calculating the difference value between the real-time working parameter and the preset working parameter of the target equipment at each same time point in the preset time period to obtain the working parameter deviation value between the real-time working parameter and the preset working parameter at each time point;
a preset deviation value threshold range, and whether the deviation value of the working parameter between the real-time working parameter and the preset working parameter at each moment is within the preset deviation value threshold range is respectively judged;
If the working parameter deviation value between the real-time working parameter of a certain moment and the preset working parameter is within the preset deviation value threshold range, marking the real-time working parameter corresponding to the moment as a normal parameter;
if the working parameter deviation value between the real-time working parameter of a certain moment and the preset working parameter is not in the preset deviation value threshold range, marking the real-time working parameter corresponding to the moment as an abnormal parameter;
counting the number of normal parameters and abnormal parameters of the target equipment in a preset time period, and carrying out ratio processing on the number of the normal parameters and the abnormal parameters of the target equipment in the preset time period to obtain a ratio value;
judging whether the ratio value is larger than a preset ratio value or not; if the ratio value is larger than a preset ratio value, generating a first monitoring result; and if the ratio value is not greater than the preset ratio value, generating a second monitoring result.
4. The method for optimizing the uniformity of noble metal addition in the preparation of the titanium alloy according to claim 1, wherein the method is characterized by obtaining real-time processing image information and identifying the real-time processing image information to obtain a real-time processing working condition result of noble metal uniformity, and specifically comprises the following steps:
Acquiring abnormal working condition image information corresponding to various noble metal uniformity abnormal working condition types of target equipment in the processing process through a big data network, performing matrix conversion processing on the abnormal working condition image information to generate a gray level co-occurrence matrix corresponding to the abnormal working condition image information, and thus obtaining an abnormal gray level co-occurrence matrix corresponding to the various noble metal uniformity abnormal working condition types;
constructing a knowledge graph, and importing various noble metal uniformity abnormal working condition types and abnormal gray level co-occurrence matrixes corresponding to the noble metal uniformity abnormal working condition types into the knowledge graph;
acquiring real-time processing image information through an imaging mechanism carried on target equipment, and performing matrix conversion treatment on the real-time processing image information to obtain a real-time gray level co-occurrence matrix corresponding to a precious metal uniformity real-time processing working condition;
introducing an Euclidean distance algorithm, and calculating the coincidence ratio between a real-time gray level co-occurrence matrix corresponding to the real-time processing working condition of the noble metal uniformity and an abnormal gray level co-occurrence matrix corresponding to the abnormal working condition type of various noble metal uniformity through the Euclidean distance algorithm to obtain a plurality of coincidence ratios;
comparing the multiple coincidence degrees with a preset coincidence degree threshold value respectively; if the multiple overlapping ratios are not greater than the preset overlapping ratio threshold value, marking the real-time processing working condition result of the noble metal uniformity as normal;
If the overlap ratio is larger than a preset overlap ratio threshold value, marking the real-time processing working condition result of the noble metal uniformity as abnormal, generating a search tag according to an abnormal gray level co-occurrence matrix corresponding to the overlap ratio larger than the preset overlap ratio threshold value, and searching the knowledge graph based on the search tag to obtain the type of the noble metal uniformity abnormal working condition with the abnormal noble metal uniformity real-time processing working condition result.
5. The method for optimizing the uniformity of noble metal addition in the preparation of the titanium alloy according to claim 1, wherein the target equipment is regulated and controlled according to the real-time processing working condition result of the uniformity of the noble metal, specifically:
if the noble metal uniformity real-time processing working condition result is normal, acquiring a first real-time working parameter of target equipment of the current real-time processing time node, and acquiring a preset working parameter of the current real-time processing time node;
calculating a difference value between a first real-time working parameter of target equipment of the real-time processing node and a preset working parameter to obtain a working parameter difference value;
and generating a regulation and control scheme according to the working parameter difference value, and regulating and controlling the first real-time working parameter of the target equipment according to the regulation and control scheme.
6. The method for optimizing the uniformity of noble metal addition in the preparation of a titanium alloy according to claim 5, further comprising the steps of:
if the noble metal uniformity real-time processing working condition result is abnormal, acquiring a noble metal uniformity abnormal working condition type with the noble metal uniformity real-time processing working condition result being abnormal; acquiring an abnormal processing time node with an abnormal precious metal uniformity real-time processing working condition result;
acquiring an electronic production diary of the same type of equipment as the target equipment in a production workshop based on an Internet of things mode, and extracting regulation measures of the same type of equipment as the target equipment in the production workshop when the abnormal processing time node regulates the type of the abnormal working condition of the noble metal uniformity from the electronic production diary to obtain a plurality of regulation measures;
the noble metal uniformity in the titanium alloy finished product regulated by each regulation measure is obtained from a corresponding electronic production diary, and the noble metal uniformity in the titanium alloy finished product regulated by each regulation measure is subjected to size sorting treatment, so that the maximum noble metal uniformity is obtained after sorting is finished;
and acquiring a regulation and control measure corresponding to the maximum noble metal uniformity, acquiring a second real-time working parameter of the target equipment of the current real-time processing time node, and regulating and controlling the second real-time working parameter of the target equipment according to the regulation and control measure corresponding to the maximum noble metal uniformity.
7. The uniformity optimization system for noble metal addition in titanium alloy preparation is characterized by comprising a memory and a processor, wherein the memory stores a noble metal addition uniformity optimization method program in titanium alloy preparation, and when the noble metal addition uniformity optimization method program in titanium alloy preparation is executed by the processor, the following steps are realized:
obtaining target performance requirements of the titanium alloy to be prepared, and extracting the target performance requirements of the titanium alloy to be prepared from a scheme knowledge base constructed in advance to obtain a preset preparation scheme corresponding to the titanium alloy to be prepared;
generating preset working parameters of target equipment according to the preset preparation scheme, and controlling the target equipment to process and produce based on the preset working parameters;
continuously collecting real-time working parameters of the target equipment in a preset time period in the processing and production process of the target equipment, and comparing the real-time working parameters of the target equipment in the preset time period with preset working parameters of the corresponding preset time period to monitor and analyze the working state of the target equipment so as to generate a monitoring result;
If the first monitoring result indicates that the working parameter state of the target equipment is normal in the preset time period, the regulation and control processing of the target equipment is not carried out;
if the second monitoring result indicates that the working parameter state of the target equipment is abnormal in the preset time period, acquiring real-time processing image information, identifying and processing the real-time processing image information to obtain a precious metal uniformity real-time processing working condition result, and regulating and controlling the target equipment according to the precious metal uniformity real-time processing working condition result.
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