CN116805226A - Multi-factor-based metal piece quality comprehensive management and control method, system and storage medium - Google Patents
Multi-factor-based metal piece quality comprehensive management and control method, system and storage medium Download PDFInfo
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Abstract
The invention discloses a multi-factor-based metal piece quality comprehensive control method, a multi-factor-based metal piece quality comprehensive control system and a storage medium, and relates to the technical field of metal pieces, wherein the multi-factor-based metal piece quality comprehensive control method comprises the following steps of: obtaining product standard parameters of each processing link of the metal piece; building a metal piece mass deviation model; performing sampling inspection for the first time to obtain product parameters of a metal part processing link; calculating to obtain the mass offset of the metal piece; judging whether the mass offset of the metal piece is larger than a preset offset threshold value or not; performing sampling inspection for the second time to obtain the average value of the total mass offset of the metal piece; judging whether the average value of the total mass offset is larger than a preset total offset threshold value or not; performing third spot inspection on the metal piece; and judging whether the batch of metal pieces are qualified or not based on the sampling inspection result. The invention has the advantages that: the metal piece quality deviation model can calculate and obtain the quality deviation amount of the metal piece in the processing process, so that the quality problem of the metal piece in the processing process is found, the metal piece with poor quality can be removed in time, and the generation of defective products is reduced.
Description
Technical Field
The invention relates to the technical field of metal pieces, in particular to a multi-factor-based metal piece quality comprehensive control method, a multi-factor-based metal piece quality comprehensive control system and a storage medium.
Background
At present, the rapid development of society is very strong in market competition of various industries, the requirements of people on the product quality are higher and higher, enterprises can occupy a place on the market only by continuously improving the product quality, the enterprises want to obtain higher economic benefits, the enterprises want to occupy a certain market share, the product quality is ensured by strict quality control, the production efficiency is improved while the cost is reduced, and the economic benefits of the enterprises are improved.
If the quality control is not in place, bad products are led to the market, customer complaints and even claims can be caused, the enterprise loses the trust of the customer, further the market competitiveness is lost, and serious business operation difficulty or direct bankruptcy can be caused.
The metal material is a combination of metal blocks, metal rods, metal tubes, etc. of various specifications and shapes manufactured from a metal material. The metal piece can be widely applied to various fields including aviation, machinery, computer hardware and the like. At present, quality control of metal parts only adopts a final inspection mode, namely, after machining is finished, the metal parts are inspected in a spot check mode, the product percent of pass is inspected, and the conditions are met, however, the metal parts can be inspected and accepted, the quality control is only carried out in such a mode, the condition of missing inspection is easy to occur, so that the probability of poor product marketing is improved, but the cost is too high in a mode of detecting one by one, and therefore, an effective quality control method for the metal parts is needed.
Disclosure of Invention
In order to solve the technical problems, the technical scheme provides a comprehensive quality control method, a comprehensive quality control system and a storage medium for metal parts based on multiple factors, and solves the problem that the condition that the metal parts are easy to miss inspection in a final inspection mode in the background art is proposed, so that the probability of poor products entering the market is improved
In order to achieve the above purpose, the invention adopts the following technical scheme:
a multi-factor-based metal piece quality comprehensive control method comprises the following steps:
obtaining product standard parameters of each processing link of the metal piece, and building a product standard parameter matrix of each processing link of the metal piece;
based on a product standard parameter matrix of each processing link of the metal piece, building a metal piece quality deviation model, wherein the quality deviation model takes product parameters of a certain processing link of the metal piece as input and takes the quality deviation amount of the metal piece of the processing link as output;
performing first spot check on each batch of metal parts in the processing process in real time to obtain product parameters of a metal part processing link;
inputting product parameters of a metal piece processing link into a metal piece mass offset model, and calculating to obtain a metal piece mass offset;
judging whether the mass offset of the metal piece is larger than a preset offset threshold, if so, returning the metal piece of the batch corresponding to the first sampling inspection to the link for repairing, and if not, allowing the metal piece of the batch corresponding to the first sampling inspection to enter the next link;
recording the repairing times of each processing link of the metal piece, and overhauling mechanical equipment of the processing link when the repairing times reach a preset threshold value, and adjusting the equipment precision;
performing second spot check on each batch of metal pieces after machining, and obtaining a total mass offset average value of the metal pieces based on the mass offset of each machining link of the spot check metal pieces;
judging whether the average value of the total mass offset is larger than a preset total offset threshold value, if so, judging that the unqualified risk of the metal parts of the batch corresponding to the second sampling inspection is high, and if not, judging that the unqualified risk of the metal parts of the batch corresponding to the second sampling inspection is low;
performing third sampling inspection on the metal piece subjected to the second sampling inspection, wherein the sampling inspection proportion with high unqualified risk is higher than the sampling inspection proportion with low unqualified risk;
and judging whether the metal pieces of the batch corresponding to the third sampling inspection are qualified or not based on the sampling inspection result, if so, performing qualification acceptance, and if not, returning the metal pieces of the batch corresponding to the third sampling inspection to a workshop for repair or processing according to waste products.
Preferably, the product standard parameter matrix for each processing link of the built metal piece comprises:
numbering the metal part processing links to obtain product standard parameters of each processing link of the metal part, and performing standardization processing to obtain dimensionless product standard parameters corresponding to the product standard parameters one by one;
building a product standard parameter matrix of each processing link of the metal piece based on the dimensionless product standard parameters;
the product standard parameter matrix is as follows:in (1) the->Product standard parameter matrix for jth processing link, < ->And n is the total number of the standard parameters of the product.
Preferably, the building the metal piece mass offset model includes:
step one: acquiring the number of a processing link, and selecting a corresponding product standard parameter matrix;
step two: carrying out standardized processing on input metal part product parameters to construct an input matrix;
step three: calculating the distance between the two matrixes to obtain the mass offset of the metal piece;
step four: building a metal piece mass offset model based on the first step, the second step and the third step;
the metal piece mass deviation model is as follows:in (1) the->For the ith standardized metalwork product parameter, < +.>For the ith metal part product parameter, +.>The metal part mass offset of the jth processing link is n, and n is the total number of product standard parameters or the total number of product parameters, < >>Is the ith product standard parameter.
Preferably, the first, second and third spot checks further comprise: the first sampling rate is smaller than the second sampling rate and smaller than the third sampling rate.
Preferably, the obtaining the average value of the total mass offset according to the mass offset of each processing link of the metal part based on the spot check includes:
numbering the metal pieces of the spot inspection to obtain the mass offset of each processing link of each metal piece;
based on the mass offset of each processing link of each metal piece, performing accumulation calculation to obtain the total mass offset of each metal piece;
acquiring an average value of the total mass offset of the metal pieces based on the total mass offset of each metal piece and the number of the metal pieces subjected to spot inspection;
the total mass offset calculation formula is as follows:in (1) the->For the k-th metal piece total mass offset, m is the total number of metal piece processing links, < ->And the mass offset of the metal piece in the j-th processing link.
Furthermore, a multi-factor-based metal piece quality comprehensive control system is provided, which is used for implementing the multi-factor-based metal piece quality comprehensive control method, and includes:
the processor is used for building a product standard parameter matrix of each processing link of the metal piece, building a metal piece quality offset model, calculating the metal piece quality offset, calculating the total quality average value of the metal piece, judging whether the metal piece quality offset is larger than a preset offset threshold value, judging whether the total quality offset average value is larger than the preset total offset threshold value and judging whether the metal piece of the batch corresponding to the third spot check is qualified;
the storage module is coupled with the processor and is used for storing product standard parameters of each processing link of the metal piece and a metal piece quality deviation model;
the sampling inspection module is electrically connected with the processor and is used for performing first sampling inspection, second sampling inspection, third sampling inspection and recording sampling inspection results on the metal piece;
the repair module is electrically connected with the processor and is used for recording repair times and repair information of a metal piece processing link;
and the output module is electrically connected with the processor and is used for outputting a final detection result of the metal piece.
Optionally, the processor is integrated with:
the first computing unit is used for building a product standard parameter matrix of each processing link of the metal piece;
the second computing unit is used for building a metal piece quality deviation model;
the third calculation unit is used for calculating the mass offset of the metal piece;
the fourth calculating unit is used for calculating the average value of the total mass offset of the metal piece;
the judging unit is used for judging whether the mass offset of the metal parts is larger than a preset offset threshold value, judging whether the average value of the total mass offset is larger than the preset total offset threshold value and judging whether the batch of metal parts are qualified based on the sampling inspection result.
Optionally, the sampling inspection module includes:
the first sampling inspection module is used for performing first sampling inspection and recording a first sampling inspection result;
the second sampling inspection module is used for performing a second sampling inspection and recording a second sampling inspection result;
and the third sampling inspection module is used for performing third sampling inspection and recording a third sampling inspection result.
Still further, a computer readable storage medium is provided, on which a computer readable program is stored, which is called to execute the multi-factor-based metal piece quality comprehensive control method as described above when running.
Compared with the prior art, the invention has the beneficial effects that:
according to the comprehensive quality control scheme of the metal piece based on multiple factors, through first spot check of the metal piece, the quality offset of the metal piece in the machining process is calculated, the quality control of the metal piece in the machining process is realized based on the quality offset of the metal piece, second spot check of the metal piece is realized, the average value of the total quality offset of the machined metal piece is calculated, the control of the unqualified risk of the machined metal piece is realized based on the average value of the total quality offset of the metal piece, and third spot check of the metal piece is realized, so that the final judgment of whether the metal piece is qualified or not is realized based on the spot check result. In summary, through three sampling inspection, the invention reduces the omission ratio of the unqualified metal pieces and the probability of the unqualified metal pieces coming into the market.
The invention provides a metal piece quality deviation model, which takes the product parameter of a certain processing link of a metal piece as input, takes the metal piece quality deviation amount of the processing link as output, and can discover the quality problem of the metal piece in the processing process based on the metal piece quality deviation amount of the processing link, thereby timely eliminating the metal piece with poor quality and reducing the generation of defective products.
Drawings
FIG. 1 is a flow chart of a multi-factor based metal piece quality integrated control method according to the present invention;
FIG. 2 is a flow chart of a method for constructing a product standard parameter matrix for each processing link of a metal piece in the invention;
FIG. 3 is a flow chart of a method for constructing a metal piece mass shift model in the invention;
FIG. 4 is a flowchart of a method for calculating the average value of the total mass offset of a metal part according to the present invention;
FIG. 5 is a block diagram of a multi-factor based hardware quality integrated control system according to the present invention.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the invention. The preferred embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art.
Referring to fig. 1, a multi-factor-based metal piece quality comprehensive control method includes:
obtaining product standard parameters of each processing link of the metal piece, and building a product standard parameter matrix of each processing link of the metal piece;
based on a product standard parameter matrix of each processing link of the metal piece, a metal piece quality deviation model is built, wherein the quality deviation model takes product parameters of a certain processing link of the metal piece as input and takes the quality deviation amount of the metal piece of the processing link as output;
performing first spot check on each batch of metal parts in the processing process in real time to obtain product parameters of a metal part processing link;
inputting product parameters of a metal piece processing link into a metal piece mass offset model, and calculating to obtain a metal piece mass offset;
judging whether the mass offset of the metal piece is larger than a preset offset threshold, if so, returning the metal piece of the batch corresponding to the first sampling inspection to the link for repairing, and if not, allowing the metal piece of the batch corresponding to the first sampling inspection to enter the next link;
recording the repairing times of each processing link of the metal piece, and overhauling mechanical equipment of the processing link when the repairing times reach a preset threshold value, and adjusting the equipment precision;
performing second spot check on each batch of metal pieces after machining, and obtaining a total mass offset average value of the metal pieces based on the mass offset of each machining link of the spot check metal pieces;
judging whether the average value of the total mass offset is larger than a preset total offset threshold value, if so, judging that the unqualified risk of the metal parts of the batch corresponding to the second sampling inspection is high, and if not, judging that the unqualified risk of the metal parts of the batch corresponding to the second sampling inspection is low;
performing third sampling inspection on the metal piece subjected to the second sampling inspection, wherein the sampling inspection proportion with high unqualified risk is higher than the sampling inspection proportion with low unqualified risk;
and judging whether the metal pieces of the batch corresponding to the third sampling inspection are qualified or not based on the sampling inspection result, if so, performing qualification acceptance, and if not, returning the metal pieces of the batch corresponding to the third sampling inspection to a workshop for repair or processing according to waste products.
Wherein, the first sampling test, the second sampling test and the third sampling test further comprise: the first sampling rate is smaller than the second sampling rate and smaller than the third sampling rate.
Specifically, the metal quality deviation model is built, the quality deviation amount of the metal piece in the machining process can be calculated, whether the metal piece is abnormal in the machining process or not can be judged based on the quality deviation amount of the metal piece, so that defective products can be effectively repaired in time, the repairing times of the machining links are recorded, whether mechanical equipment of the machining links fails or not can be judged based on the repairing times, and the production efficiency of the metal piece is improved by timely troubleshooting.
Referring to fig. 2, the product standard parameter matrix for each processing link of the metal piece is built, which comprises:
numbering the metal part processing links to obtain product standard parameters of each processing link of the metal part, and performing standardization processing to obtain dimensionless product standard parameters corresponding to the product standard parameters one by one;
building a product standard parameter matrix of each processing link of the metal piece based on the dimensionless product standard parameters;
the standardized processing formula is as follows:in (1) the->For the i-th dimensionless product standard parameter, < ->Is the ith product standard parameter;
wherein, the product is a standard ginsengThe number matrix is:in (1) the->Product standard parameter matrix for jth processing link, < ->And n is the total number of standard parameters of the product.
Specifically, the product standard parameter matrix of the metal piece processing link is built, so that the whole processing process of the metal piece is clearly known, and meanwhile, the product standard parameter matrix of the metal piece processing link is also used as a judging basis for judging whether the metal piece is abnormal or not in the processing process
Referring to fig. 3, building a metal piece mass offset model includes:
step one: acquiring the number of a processing link, and selecting a corresponding product standard parameter matrix;
step two: carrying out standardized processing on input metal part product parameters to construct an input matrix;
step three: calculating the distance between the two matrixes to obtain the mass offset of the metal piece;
step four: building a metal piece mass offset model based on the first step, the second step and the third step;
wherein the input matrix is:in (1) the->Input matrix for the j-th processing element, < >>The product parameters of the ith standardized metal piece and the total number of n product parameters;
wherein, the metal piece mass offset model is:in (1) the->For the ith standardized metalwork product parameter, < +.>For the ith metal part product parameter, +.>The metal part mass offset of the jth processing link is n, and n is the total number of product standard parameters or the total number of product parameters, < >>Is the ith product standard parameter.
Specifically, the Euclidean distance of a product standard parameter matrix of two matrix metal piece processing links and an input matrix of the processing links is used as the mass offset of the metal piece, so that a metal piece mass offset model is built.
Referring to fig. 4, obtaining an average value of total mass offsets based on mass offsets of each processing link of the metal piece for spot inspection includes:
numbering the metal pieces of the spot inspection to obtain the mass offset of each processing link of each metal piece;
based on the mass offset of each processing link of each metal piece, performing accumulation calculation to obtain the total mass offset of each metal piece;
acquiring an average value of the total mass offset of the metal pieces based on the total mass offset of each metal piece and the number of the metal pieces subjected to spot inspection;
the calculation formula of the total mass offset is as follows:in (1) the->For the k-th metal piece total mass offset, m is the total number of metal piece processing links, < ->And the mass offset of the metal piece in the j-th processing link.
The calculation formula of the average value of the total mass offset is as follows:in (1) the->For the k-th metal piece total mass offset average,/->And w is the total mass offset of the kth metal piece and the total number of the metal pieces for spot check.
Referring to fig. 5, further, in combination with the above-mentioned multi-factor-based comprehensive metal quality control method, a multi-factor-based comprehensive metal quality control system is provided, which includes:
the processor is used for building a product standard parameter matrix of each processing link of the metal piece, building a metal piece quality offset model, calculating the metal piece quality offset, calculating the total metal piece quality average value, judging whether the metal piece quality offset is larger than a preset offset threshold value, judging whether the total quality offset average value is larger than the preset total offset threshold value and judging whether the metal piece of the batch corresponding to the third sampling inspection is qualified;
the storage module is coupled with the processor and is used for storing product standard parameters of each processing link of the metal piece and a metal piece quality deviation model;
the sampling inspection module is electrically connected with the processor and is used for performing first sampling inspection, second sampling inspection and third sampling inspection on the metal piece and recording sampling inspection results;
the repair module is electrically connected with the processor and is used for recording repair times and repair information of the metal piece processing link;
and the output module is electrically connected with the processor and used for outputting the final detection result of the metal piece.
The processor is internally integrated with:
the first computing unit is used for building a product standard parameter matrix of each processing link of the metal piece;
the second calculation unit is used for building a metal piece mass offset model;
the third calculation unit is used for calculating the mass offset of the metal piece;
the fourth calculating unit is used for calculating the average value of the total mass offset of the metal piece;
the judging unit is used for judging whether the mass offset of the metal parts is larger than a preset offset threshold value, judging whether the average value of the total mass offset is larger than the preset total offset threshold value and judging whether the batch of metal parts are qualified based on the sampling inspection result.
The sampling inspection module comprises:
the first sampling inspection module is used for performing first sampling inspection and recording a first sampling inspection result;
the second sampling inspection module is used for performing a second sampling inspection and recording a second sampling inspection result;
and the third sampling inspection module is used for performing third sampling inspection and recording a third sampling inspection result.
The working flow of the metal piece quality comprehensive management and control system based on multiple factors is as follows:
step one: the first computing unit calls the product standard parameters of each processing link of the metal piece in the storage module, establishes a product standard parameter matrix of each processing link of the metal piece after standardized treatment, and sends the product standard parameter matrix to the second computing unit;
step two: the second calculation unit builds a metal piece quality deviation model based on a product standard parameter matrix of each processing link of the metal piece, and sends the metal piece quality deviation model to the storage module;
step three: the first sampling inspection module performs first sampling inspection on each batch of metal parts in each processing link to obtain product parameters of each processing link of the metal parts, and sends the product parameters to the third calculation unit;
step four: the third calculation unit calls a metal piece quality deviation model in the storage module, calculates the quality deviation amount of each processing link of the metal piece based on the product parameters of each processing link of the metal piece, and sends the quality deviation amount to the judgment unit;
step five: the judging unit judges whether the quality offset of the metal piece is larger than a preset offset threshold value, if so, marks that the metal piece of the corresponding batch of the first sampling inspection needs to be returned to the link for repairing, and if not, marks that the metal piece of the corresponding batch of the first sampling inspection is allowed to enter the next link;
step six: the repair module records repair times and repair information of each processing link;
step seven: the second sampling inspection unit performs second sampling inspection on each batch of metal pieces which are processed, obtains metal mass offset of each processing link of the metal pieces subjected to the sampling inspection, and sends the metal mass offset to the fourth calculation unit;
step eight: the fourth calculation unit calculates the average value of the total mass offset of the metal piece based on the metal mass offset of each processing link of the metal piece subjected to the spot inspection, and sends the average value to the judgment unit;
step nine: the judging unit judges whether the average value of the total mass offset is larger than a preset total offset threshold value, if so, marks that the unqualified risk of the metal pieces in the batch corresponding to the second sampling inspection is high, if not, marks that the unqualified risk of the metal pieces in the batch corresponding to the second sampling inspection is low, and sends a judging result to the third sampling inspection module;
step ten: the third sampling inspection module performs third sampling inspection on the metal piece subjected to the second sampling inspection, wherein the sampling inspection proportion with high unqualified risk is higher than the sampling inspection proportion with low unqualified risk, and the sampling inspection result is sent to the judging unit;
step eleven: the judging unit judges whether the metal parts of the batch corresponding to the third sampling inspection are qualified or not based on the sampling inspection result, if yes, marks the metal parts of the batch corresponding to the third sampling inspection for qualification acceptance, if no, marks the metal parts of the batch corresponding to the third sampling inspection to be returned to a workshop for repair or processed according to waste products, and sends the judging result to the output module;
step twelve: and the output module generates and outputs a final detection result of the metal piece corresponding to the batch number based on the judgment result.
Specifically, the executing steps of the first sampling inspection unit in the sampling inspection module include:
sampling the metal pieces according to a preset first sampling proportion when a batch of metal pieces completes a processing link;
and (3) detecting the sample metal piece relative to the processing technology, obtaining product parameters formed by processing the metal piece in the processing link, and recording the result.
Specifically, the executing steps of the second sampling inspection unit in the sampling inspection module include:
sampling a batch of processed metal pieces according to a preset second sampling rate;
and obtaining the mass offset of each processing link in the processing process of the sample metal piece, and recording the result.
Specifically, the executing step of the third sampling inspection unit in the sampling inspection module includes:
sampling the metal parts with high unqualified risks according to a preset higher third sampling rate, and sampling the metal parts with low unqualified risks according to a preset lower third sampling rate;
conventional metalwork detection procedures are performed on sample metalwork, including, but not limited to: size detection, shape detection, surface paint detection, color detection and the like;
recording the detection result of the sample metal piece.
Specifically, the repairing module performs the steps of:
numbering the metal part processing links to generate a metal part processing link repairing number record list;
when a certain processing link carries out the repair of the metal piece, updating a repair number record table of the processing link of the metal piece;
presetting a repairing frequency threshold, and adding a special mark to a machining link when a certain machining link in a metal part machining link repairing frequency record table reaches the repairing frequency threshold, wherein the special mark represents that mechanical equipment of the machining link needs to be overhauled;
and recording overhaul information, and clearing the overhaul times in a overhaul number table of the metal part processing link for the overhauled processing link.
Specifically, the output module executes the steps of:
obtaining a judging result of the judging unit on whether the metal piece is qualified or not;
based on the judgment result, outputting a final detection result of the metal piece corresponding to the batch number, wherein the final detection result comprises two cases: firstly, the batch of metal parts are qualified and can be subjected to qualification acceptance; second, the batch of metal parts is disqualified and needs to be returned to the workshop for repair or directly treated as waste.
Still further, the present solution also proposes a computer readable storage medium, on which a computer readable program is stored, the computer readable program executing the above-mentioned multi-factor-based metal piece quality comprehensive management and control method when called;
it is understood that the computer readable storage medium may be a magnetic medium, e.g., floppy disk, hard disk, tape; optical media such as DVD; or a semiconductor medium such as a solid state disk SolidStateDisk, SSD, etc.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made therein without departing from the spirit and scope of the invention, which is defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. The comprehensive metal piece quality control method based on multiple factors is characterized by comprising the following steps of:
obtaining product standard parameters of each processing link of the metal piece, and building a product standard parameter matrix of each processing link of the metal piece;
based on a product standard parameter matrix of each processing link of the metal piece, building a metal piece quality deviation model, wherein the quality deviation model takes product parameters of a certain processing link of the metal piece as input and takes the quality deviation amount of the metal piece of the processing link as output;
performing first spot check on each batch of metal parts in the processing process in real time to obtain product parameters of a metal part processing link;
inputting product parameters of a metal piece processing link into a metal piece mass offset model, and calculating to obtain a metal piece mass offset;
judging whether the mass offset of the metal piece is larger than a preset offset threshold, if so, returning the metal piece of the batch corresponding to the first sampling inspection to the link for repairing, and if not, allowing the metal piece of the batch corresponding to the first sampling inspection to enter the next link;
recording the repairing times of each processing link of the metal piece, and overhauling mechanical equipment of the processing link when the repairing times reach a preset threshold value, and adjusting the equipment precision;
performing second spot check on each batch of metal pieces after machining, and obtaining a total mass offset average value of the metal pieces based on the mass offset of each machining link of the spot check metal pieces;
judging whether the average value of the total mass offset is larger than a preset total offset threshold value, if so, judging that the unqualified risk of the metal parts of the batch corresponding to the second sampling inspection is high, and if not, judging that the unqualified risk of the metal parts of the batch corresponding to the second sampling inspection is low;
performing third sampling inspection on the metal piece subjected to the second sampling inspection, wherein the sampling inspection proportion with high unqualified risk is higher than the sampling inspection proportion with low unqualified risk;
and judging whether the batch of metal pieces are qualified or not based on the sampling inspection result, if so, performing qualification acceptance, and if not, returning the batch of metal pieces corresponding to the third sampling inspection to a workshop for repair or processing according to waste.
2. The method for comprehensively controlling the quality of the metal piece based on multiple factors according to claim 1, wherein the building of the product standard parameter matrix of each processing link of the metal piece comprises the following steps:
numbering the metal part processing links to obtain product standard parameters of each processing link of the metal part, and performing standardization processing to obtain dimensionless product standard parameters corresponding to the product standard parameters one by one;
building a product standard parameter matrix of each processing link of the metal piece based on the dimensionless product standard parameters;
the product standard parameter matrix is as follows:in (1) the->Is a product standard parameter matrix of the jth processing link,and n is the total number of standard parameters of the product.
3. The method for comprehensively controlling the quality of the metal piece based on multiple factors according to claim 2, wherein the building the metal piece quality deviation model comprises the following steps:
step one: acquiring the number of a processing link, and selecting a corresponding product standard parameter matrix;
step two: carrying out standardized processing on input metal part product parameters to construct an input matrix;
step three: calculating the distance between the two matrixes to obtain the mass offset of the metal piece;
step four: building a metal piece mass offset model based on the first step, the second step and the third step;
the metal piece mass deviation model is as follows:in (1) the->For the ith standardized metalwork product parameter, < +.>For the ith metal part product parameter, +.>The metal part mass offset of the jth processing link is n, and n is the total number of product standard parameters or the total number of product parameters, < >>Is the ith product standard parameter.
4. The multi-factor based metal piece quality integrated control method of claim 3, wherein the first, second and third spot checks further comprise: the first sampling rate is smaller than the second sampling rate and smaller than the third sampling rate.
5. The method for comprehensively controlling the quality of the metal piece based on multiple factors according to claim 4, wherein the step of obtaining the average value of the total mass offset of the mass offset of each processing link of the metal piece based on the spot check comprises the following steps:
numbering the metal pieces of the spot inspection to obtain the mass offset of each processing link of each metal piece;
based on the mass offset of each processing link of each metal piece, performing accumulation calculation to obtain the total mass offset of each metal piece;
acquiring an average value of the total mass offset of the metal pieces based on the total mass offset of each metal piece and the number of the metal pieces subjected to spot inspection;
the total mass offset calculation formula is as follows:in (1) the->The total mass offset of the kth metal piece is m is the total mass of the metal piece processing linkNumber of (I) and (II)>And the mass offset of the metal piece in the j-th processing link.
6. A multi-factor based metal piece quality integrated control system for implementing the multi-factor based metal piece quality integrated control method according to any one of claims 1-5, comprising:
the processor is used for building a product standard parameter matrix of each processing link of the metal piece, building a metal piece quality offset model, calculating the metal piece quality offset, calculating the total quality average value of the metal piece, judging whether the metal piece quality offset is larger than a preset offset threshold value, judging whether the total quality offset average value is larger than the preset total offset threshold value and judging whether the metal piece of the batch corresponding to the third spot check is qualified;
the storage module is coupled with the processor and is used for storing product standard parameters of each processing link of the metal piece and a metal piece quality deviation model;
the sampling inspection module is electrically connected with the processor and is used for performing first sampling inspection, second sampling inspection, third sampling inspection and recording sampling inspection results on the metal piece;
the repair module is electrically connected with the processor and is used for recording repair times and repair information of a metal piece processing link;
and the output module is electrically connected with the processor and is used for outputting a final detection result of the metal piece.
7. The multi-factor based metal piece quality integrated management and control system of claim 6, wherein the processor is internally integrated with:
the first computing unit is used for building a product standard parameter matrix of each processing link of the metal piece;
the second computing unit is used for building a metal piece quality deviation model;
the third calculation unit is used for calculating the mass offset of the metal piece;
the fourth calculating unit is used for calculating the average value of the total mass offset of the metal piece;
the judging unit is used for judging whether the mass offset of the metal parts is larger than a preset offset threshold value, judging whether the average value of the total mass offset is larger than the preset total offset threshold value and judging whether the batch of metal parts are qualified based on the sampling inspection result.
8. The multi-factor based metal piece quality integrated management and control system of claim 6, wherein the spot check module comprises:
the first sampling inspection module is used for performing first sampling inspection and recording a first sampling inspection result;
the second sampling inspection module is used for performing a second sampling inspection and recording a second sampling inspection result;
and the third sampling inspection module is used for performing third sampling inspection and recording a third sampling inspection result.
9. A computer readable storage medium having stored thereon computer readable program instructions which when executed implement the multi-factor based metal piece quality integrated management method of any of claims 1-5.
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