Automatic calibration equipment operation status monitoring system and method based on data analysis

Abstract

The present invention discloses an automatic calibration equipment operation status supervision system and method based on data analysis, which belongs to the technical field of equipment information management. The present invention collects data information of the product to be calibrated by entering the data information of the standard product; calculates the error value of the product to be calibrated according to the data information; considers multiple important factors in the process of collecting data information, and distributes weights to each branch of production data information and morphological data information, so as to more effectively highlight the importance of individual factors, and can more intuitively calculate the error value of the product to be calibrated; judges abnormal situations according to the error value calculation results, and alarms and prompts relevant management personnel according to the specific abnormal situations; relevant technical personnel can quickly understand the corresponding data information of the product to be calibrated and the specific problems that occur, thereby improving the efficiency of automatic calibration equipment operation status supervision and the work efficiency of relevant technical personnel.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment information management, and in particular to an automatic calibration equipment operation status monitoring system and method based on data analysis. Background Art

[0002] Die castings are getting bigger and bigger, and large-scale die castings have become one of the development trends of the industry. Integrated die casting simplifies and integrates dozens of parts into a single part, which can not only reduce stamping and welding processes, improve production efficiency, but also reduce production costs. At the same time, compared with traditional welded parts, integrated die castings are lighter in weight, which can greatly help the "lightweighting" of subsequent large-scale equipment and improve the use capacity of equipment.

[0003] In many companies, automated calibration equipment plays a very important role, replacing quality inspectors to detect the appearance defects and quality of integrated die-castings. However, automated calibration equipment needs to be in operation for a long time, which can easily cause problems with the automated calibration equipment itself, resulting in measurement drift or deviation, affecting production efficiency and quality.

[0004] Therefore, the present invention discloses an automatic calibration equipment operation status monitoring system and method based on data analysis to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide an automatic calibration equipment operation status monitoring system and method based on data analysis to solve the problems raised in the above background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solution: an automatic calibration equipment operation status monitoring method based on data analysis, characterized in that the method comprises the following steps:

[0007] S1: Input the data information of the standard product and collect the data information of the product to be calibrated through sensors and cameras;

[0008] S2: Calculate the error value of the product to be calibrated based on the data information of the standard product and the collected data information of the product to be calibrated;

[0009] S3: According to the calculation results of the error value, abnormal situations are judged, and alarms and prompts are given to relevant management personnel according to the specific abnormal situations.

[0010] According to the above scheme, the data information in step S1 includes production data information and morphological data information;

[0011] The production data information includes production temperature data information and production time data information; the production temperature data information includes casting temperature data information and mold temperature data information; the production time data information includes filling time data information, pressurization and decompression time data information, pressure holding time data information and mold retention time data information;

[0012] The morphological data information includes two-dimensional images of the standard product and the product to be calibrated; a three-dimensional image is constructed by using the two-dimensional images of the standard product and the product to be calibrated.

[0013] Through the above-mentioned various data, subsequent calculations can be performed on the calibrated product in many aspects and abnormal situations of the automatic calibration equipment can be distinguished.

[0014] According to the above scheme, in step S2, the error value of the product to be calibrated is calculated; the casting temperature data information of the standard product is recorded as The mold temperature data information of the standard product is recorded as The filling time data information of the standard product is recorded as The pressurization and depressurization time data information of the standard product is recorded as The pressure holding time data information of the standard product is recorded as The mold retention time data information of the standard product is recorded as The temperature data information of the standard product is recorded as The production time data information of the standard product is recorded as

[0015] Temperature data information about standard products Set up the following calculation formula:

[0016]

[0017] Where α is the weight of the casting temperature data information, (1-α) is the weight of the mold temperature data information, where α∈(0,1);

[0018] Accordingly, information on the production time data of standard products Set up the following calculation formula:

[0019]

[0020] Where β is the weight of the filling time data information, γ is the weight of the pressurization and decompression time data information, δ is the weight of the pressure holding time data information, and (1-β-γ-δ) is the weight of the mold retention time data information, where β∈(0,1), γ∈(0,1), δ∈(0,1);

[0021] By performing the weighting calculation on each branch of the temperature data information and each branch of the production time data information, the temperature data information and the production time data information can be integrated to a certain extent, and higher weights can be assigned to branches with greater influence, which can effectively reduce the impact of branches with less influence on the whole.

[0022] The entire set of products to be calibrated is divided into n sets of products to be calibrated according to the production time sequence, where each set of products to be calibrated contains m products to be calibrated.

[0023] In the production process, it is inevitable that individual products will have defects. Grouping multiple products into sets in chronological order of production and evaluating and judging the sets can effectively reduce the impact of individual products and improve the judgment accuracy of the system.

[0024] The jth product to be calibrated in the i-th product set to be calibrated is denoted as P (i,j) ; The product to be calibrated P (i,j) The casting temperature data information is recorded as The product to be calibrated P (i,j) The mold temperature data information is recorded as The product to be calibrated P (i,j) The filling time data information is recorded as The product to be calibrated P (i,j) The data information of the pressurization and decompression time is recorded as The product to be calibrated P (i,j) The pressure holding time data information is recorded as The product to be calibrated P (i,j) The retention time data information is recorded as The product to be calibrated P (i,j) The temperature data information is recorded as The product to be calibrated P (i,j) The production time data information is recorded as i∈[1,m], j∈[1,n];

[0025] For the product to be calibrated P (i,j) Temperature data information Set up the following calculation formula:

[0026]

[0027] For the product to be calibrated P (i,j) Production time data information Set up the following calculation formula:

[0028]

[0029] The product to be calibrated P (i,j)The error value of production data information is recorded as SC (i,j) , the specific calculation formula is as follows:

[0030]

[0031] Then for the production data information error value SC of the i-th set of products to be calibrated i , the specific calculation formula is as follows:

[0032]

[0033] By performing the above-mentioned calculation of the production data information error value for the temperature data information and the production time data information, the temperature data information and the production time data information can be integrated, the influencing factors in the production process can be fully considered, and the error value can be effectively calculated based on the influencing factors in the production process.

[0034] The product to be calibrated P (i,j) The 3D images of the standard product are divided into A 2D images, and the calibrated product P is calculated. (i,j) The three-dimensional image error value TDP (i,j) , the specific calculation formula is as follows:

[0035]

[0036] in Indicates the product to be calibrated P (i,j) The pixel value of the pixel point with coordinates (x, y) in the u-th two-dimensional image; Represents the pixel value of the pixel point with coordinates (x,u) in the u-th two-dimensional image of the standard product; E and F are the number of pixels in the horizontal and vertical coordinates of the two-dimensional image, x∈[1,E], y∈[1,F].

[0037] According to the above scheme, the abnormal situation of the automatic calibration device is judged in step S3;

[0038] Extract the product P to be calibrated (i,j) The three-dimensional image error value TDP (i,j) , for the three-dimensional image error value TDP (i,j) Preset thresholds ρ1 and ρ2, where 0<ρ1<ρ2<1; if the product to be calibrated P (i,j) The three-dimensional image error value TDP (i,j) ∈[0,ρ1), then the product to be calibrated is recorded as a high-quality product; if the product to be calibrated P (i,j) The three-dimensional image error value TDP (i,j) ∈[ρ1,ρ2), then the product to be calibrated is recorded as a normal qualified product; if the product to be calibrated P (i,j) The three-dimensional image error value TDP(i,j) ∈[ρ2,1), the product to be calibrated is recorded as an unqualified product;

[0039] The high quality product rate HP of the i-th set of products to be calibrated i Calculation; the calculation formula is as follows:

[0040] HP i =HPM i / m,

[0041] Among them, MPM i Represents the number of high-quality products in the i-th set of products to be calibrated.

[0042] According to the above scheme, the system sets a threshold θ for the high-quality product rate; if the high-quality product rate HP of the i-th set of products to be calibrated is i ≥θ, then the i-th set of products to be calibrated is recorded as a normal set of products to be calibrated; if the high-quality product rate HP of the i-th set of products to be calibrated i <θ, the i-th set of products to be calibrated is recorded as an abnormal set of products to be calibrated; and all data of the abnormal set of products to be calibrated are stored.

[0043] The assembly line is an efficient industrial production method. By following the prescribed process and order, a single production operation is completed sequentially at a series of workstations, thereby achieving automation, standardization and scale of the production process. The tasks on the assembly line are clear and standardized, making the product quality relatively more stable and reducing the production error of the product. Therefore, when the high-quality product rate of the set of products to be calibrated shows a significant decline, it may be due to the deviation of the production data information or the calibration offset of the automatic calibration equipment, causing the overall quality of the product to decline. All data of the abnormal set of products to be calibrated are stored; after the automatic calibration equipment is repaired, the abnormal set of products to be calibrated is recalculated to reduce the loss caused by the abnormal automatic calibration equipment.

[0044] If there are B consecutive abnormal product sets to be calibrated, where B is the number set by the system; extract the production data information error value of the abnormal product set to be calibrated, if the mean of the production data information error values ​​of the B abnormal product sets to be calibrated is greater than the set production data information error threshold, it is determined that the automatic calibration equipment has a morphological data information calibration abnormality; if the mean of the production data information error values ​​of the B abnormal product sets to be calibrated is less than or equal to the set production data information error threshold, it is determined that the automatic calibration equipment has a production data information calibration abnormality;

[0045] Alarms and reminders will be given to relevant management personnel based on specific abnormal situations.

[0046] Based on the above-mentioned distinction and judgment between the production data information error value and the three-dimensional image error value, the abnormal causes of the automatic calibration equipment can be effectively distinguished, and alarms and prompts can be given to relevant management personnel according to the specific abnormal conditions. Abnormal problems can be identified more efficiently and the losses caused by abnormal problems can be reduced.

[0047] Another aspect of the present application is an automatic calibration equipment operation status monitoring system based on data analysis, the system is applied to the above-mentioned automatic calibration equipment operation status monitoring method based on data analysis, characterized in that: the automatic calibration equipment operation status monitoring system includes a data information acquisition module, a data information storage module, an error value calculation module and an operation abnormality judgment module;

[0048] The data information acquisition module is used to collect data information of standard products and products to be calibrated; the data information storage module is used to store data information and calculation results of standard products and products to be calibrated; the error value calculation module is used to calculate error values ​​for products to be calibrated; the operation abnormality judgment module is used to judge the specific situation of the abnormal set of products to be calibrated.

[0049] According to the above scheme, the data information acquisition module includes a production data information acquisition unit and a morphology data information acquisition unit;

[0050] The production data information acquisition unit is used to collect production temperature data information and production time data information; the production temperature data information includes casting temperature data information and mold temperature data information; the production time data information includes filling time data information, pressurization and decompression time data information, pressure holding time data information and mold retention time data information;

[0051] The morphological data information acquisition unit is used to acquire two-dimensional images of the standard product and the product to be calibrated.

[0052] According to the above solution, the error value calculation module includes a production data information error value calculation unit and a three-dimensional image error value calculation unit;

[0053] The production data information error value calculation unit calculates the production data information error value of the product to be calibrated based on the casting temperature data information, the mold temperature data information, the filling time data information, the pressurization and decompression time data information, the pressure holding time data information and the mold retention time data information; the three-dimensional image error value calculation unit divides the three-dimensional images of the product to be calibrated and the standard product into two-dimensional images, and calculates the three-dimensional image error value based on the pixel difference of the corresponding two-dimensional images.

[0054] According to the above scheme, the operation abnormality judgment module includes a morphological data information judgment unit and a production data information judgment unit;

[0055] The morphological data information judgment unit is used to judge the abnormality of the morphological data information of the abnormal product set to be calibrated; the production data information judgment unit is used to judge the abnormality of the production data information of the abnormal product set to be calibrated.

[0056] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: by entering the data information of the standard product, the sensor and the camera equipment collect data information of the product to be calibrated; according to the data information of the standard product and the collected data information of the product to be calibrated, the error value of the product to be calibrated is calculated; in the process of collecting data information, various important factors in the production process are considered, and weights are allocated to various branches of production data information and morphological data information in the data information, so as to more effectively highlight the importance of individual factors and more intuitively calculate the error value of the product to be calibrated; according to the error value calculation result, abnormal situation judgment is made, and alarms and prompts are given to relevant management personnel according to the specific abnormal situation; relevant technical personnel can quickly understand the corresponding data information of the product to be calibrated and the specific problems that arise, thereby improving the efficiency of automatic calibration equipment operation status supervision and improving the work efficiency of relevant technical personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0058] Figure 1 It is a flow chart of a method for supervising the operation status of an automatic calibration device based on data analysis according to the present invention;

[0059] Figure 2 It is a structural schematic diagram of the automatic calibration equipment operation status monitoring system based on data analysis of the present invention. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] See also Figure 1 The present invention provides a technical solution: a method for monitoring the operation status of an automatic calibration device based on data analysis, characterized in that the method comprises the following steps:

[0062] S1: Input the data information of the standard product and collect the data information of the product to be calibrated through sensors and cameras;

[0063] According to the above scheme, the data information in step S1 includes production data information and morphological data information;

[0064] The production data information includes production temperature data information and production time data information; the production temperature data information includes casting temperature data information and mold temperature data information; the production time data information includes filling time data information, pressurization and decompression time data information, pressure holding time data information and mold retention time data information;

[0065] The morphological data information includes two-dimensional images of the standard product and the product to be calibrated; a three-dimensional image is constructed by the two-dimensional images of the standard product and the product to be calibrated.

[0066] Through the above-mentioned various data, subsequent calculations can be performed on the calibrated product in many aspects and abnormal situations of the automatic calibration equipment can be distinguished.

[0067] S2: Calculate the error value of the product to be calibrated based on the data information of the standard product and the collected data information of the product to be calibrated;

[0068] According to the above scheme, in step S2, the error value of the product to be calibrated is calculated; the casting temperature data information of the standard product is recorded as The mold temperature data information of the standard product is recorded as The filling time data information of the standard product is recorded as The pressurization and depressurization time data information of the standard product is recorded as The pressure holding time data information of the standard product is recorded as The mold retention time data information of the standard product is recorded as The temperature data information of the standard product is recorded as The production time data information of the standard product is recorded as

[0069] Temperature data information about standard products Set up the following calculation formula:

[0070]

[0071] Where α is the weight of the casting temperature data information, (1-α) is the weight of the mold temperature data information, where α∈(0,1);

[0072] Accordingly, information on the production time data of standard products Set up the following calculation formula:

[0073]

[0074] Where β is the weight of the filling time data information, γ is the weight of the pressurization and decompression time data information, δ is the weight of the pressure holding time data information, and (1-β-γ-δ) is the weight of the mold retention time data information, where β∈(0,1), γ∈(0,1), δ∈(0,1);

[0075] By performing the weighting calculation on each branch of the temperature data information and each branch of the production time data information, the temperature data information and the production time data information can be integrated to a certain extent, and higher weights can be assigned to branches with greater influence, which can effectively reduce the impact of branches with less influence on the whole.

[0076] The entire set of products to be calibrated is divided into n sets of products to be calibrated according to the production time sequence, where each set of products to be calibrated contains m products to be calibrated.

[0077] In the production process, it is inevitable that individual products will have defects. Grouping multiple products into sets in chronological order of production and evaluating and judging the sets can effectively reduce the impact of individual products and improve the judgment accuracy of the system.

[0078] The jth product to be calibrated in the i-th product set to be calibrated is denoted as P (i,j) ; The product to be calibrated P (i,j) The casting temperature data information is recorded as The product to be calibrated P (i,j) The mold temperature data information is recorded as The product to be calibrated P (i,j) The filling time data information is recorded as The product to be calibrated P (i,k) The data information of the pressurization and decompression time is recorded as The product to be calibrated P (i,j) The pressure holding time data information is recorded as The product to be calibrated P (i,j) The retention time data information is recorded as The product to be calibrated P (i,j) The temperature data information is recorded as The product to be calibrated P (i,j) The production time data information is recorded as i∈[1,m], j∈[1,n];

[0079] For the product to be calibrated P (i,j) Temperature data information Set up the following calculation formula:

[0080]

[0081] For the product to be calibrated P (i,j)Production time data information Set up the following calculation formula:

[0082]

[0083] The product to be calibrated P (i,j) The error value of production data information is recorded as SC (i,j) , the specific calculation formula is as follows:

[0084]

[0085] Then for the production data information error value SC of the i-th set of products to be calibrated i , the specific calculation formula is as follows:

[0086]

[0087] By performing the above-mentioned calculation of the production data information error value for the temperature data information and the production time data information, the temperature data information and the production time data information can be integrated, the influencing factors in the production process can be fully considered, and the error value can be effectively calculated based on the influencing factors in the production process.

[0088] The product to be calibrated P (i,j) The 3D images of the standard product are divided into A 2D images, and the calibrated product P is calculated. (i,j) The three-dimensional image error value TDP (i,j) , the specific calculation formula is as follows:

[0089]

[0090] in Indicates the product to be calibrated P (i,j) The pixel value of the pixel point with coordinates (x, y) in the u-th two-dimensional image; Represents the pixel value of the pixel point with coordinates (x, y) in the u-th two-dimensional image of the standard product; E and F are the number of pixels in the horizontal and vertical coordinates of the two-dimensional image, x∈[1,E], y∈[1,F].

[0091] S3: According to the calculation results of the error value, abnormal situations are judged, and alarms and prompts are given to relevant management personnel according to the specific abnormal situations.

[0092] According to the above scheme, the abnormal situation of the automatic calibration device is judged in step S3;

[0093] In this embodiment, the product P to be calibrated is extracted (i,j) The three-dimensional image error value TDP (i,j) , for the three-dimensional image error value TDP (i,j)The preset thresholds are 0.05 and 0.10; if the product to be calibrated P (i,j) The three-dimensional image error value TDP (i,j) ∈[0,0.05), then the product to be calibrated is recorded as a high-quality product; if the product to be calibrated P (i,j) The three-dimensional image error value TDP (i,j) ∈[0.05,0.1), then the product to be calibrated is recorded as a normal qualified product; if the product to be calibrated P (i,j) The three-dimensional image error value TDP (i,j) ∈[0.1,1), the product to be calibrated is recorded as an unqualified product;

[0094] The high quality product rate HP of the i-th set of products to be calibrated i Calculation; the calculation formula is as follows:

[0095] HP i =HPM i / m,

[0096] HPM i Represents the number of high-quality products in the i-th set of products to be calibrated.

[0097] In this embodiment, according to the above scheme, the system sets a threshold of 0.95 for the high-quality product rate; if the high-quality product rate HP of the i-th set of products to be calibrated is i ≥0.95, the i-th set of products to be calibrated is recorded as a normal set of products to be calibrated; if the high-quality product rate HP of the i-th set of products to be calibrated is i <0.95, the i-th set of products to be calibrated is recorded as an abnormal set of products to be calibrated; and all data of the abnormal set of products to be calibrated are stored.

[0098] The assembly line is an efficient industrial production method. By following the prescribed process and order, a single production operation is completed sequentially at a series of workstations, thereby achieving automation, standardization and scale of the production process. The tasks on the assembly line are clear and standardized, making the product quality relatively more stable and reducing the production error of the product. Therefore, when the high-quality product rate of the set of products to be calibrated shows a significant decline, it may be due to the deviation of the production data information or the calibration offset of the automatic calibration equipment, causing the overall quality of the product to decline. All data of the abnormal set of products to be calibrated are stored; after the automatic calibration equipment is repaired, the abnormal set of products to be calibrated is recalculated to reduce the loss caused by the abnormal automatic calibration equipment.

[0099] In this embodiment, the high quality product rate HP of the three sets of products to be calibrated is calculated as 10 , HP 11 and HP 12If all of the above three sets of products to be calibrated are smaller than the threshold value of 0.95, then all of the above three sets of products to be calibrated are abnormal sets of products to be calibrated; store all the data of the above three sets of abnormal products to be calibrated; extract the production data information error values ​​of the above three sets of abnormal products to be calibrated; if the mean of the production data information error values ​​of the three sets of abnormal products to be calibrated is greater than the set production data information error threshold, then it is determined that the automatic calibration equipment has a morphological data information calibration abnormality; if the mean of the production data information error values ​​of the three sets of abnormal products to be calibrated is less than or equal to the set production data information error threshold, then it is determined that the automatic calibration equipment has a production data information calibration abnormality; and give alarms and prompts to relevant management personnel according to the specific abnormal situations.

[0100] Based on the above-mentioned distinction and judgment between the production data information error value and the three-dimensional image error value, the abnormal causes of the automatic calibration equipment can be effectively distinguished, and alarms and prompts can be given to relevant management personnel according to the specific abnormal conditions. Abnormal problems can be identified more efficiently and the losses caused by abnormal problems can be reduced.

[0101] See also Figure 2 , the present invention provides a technical solution: another aspect of the present application is an automatic calibration equipment operation status monitoring system based on data analysis, the system is applied to the above-mentioned automatic calibration equipment operation status monitoring method based on data analysis, characterized in that: the automatic calibration equipment operation status monitoring system includes a data information acquisition module, a data information storage module, an error value calculation module and an operation abnormality judgment module;

[0102] The data information acquisition module is used to collect data information of standard products and products to be calibrated; the data information storage module is used to store data information and calculation results of standard products and products to be calibrated; the error value calculation module is used to calculate the error value of the products to be calibrated; the operation abnormality judgment module is used to judge the specific situation of the abnormal set of products to be calibrated.

[0103] According to the above scheme, the data information acquisition module includes a production data information acquisition unit and a morphology data information acquisition unit;

[0104] The production data information acquisition unit is used to collect production temperature data information and production time data information; the production temperature data information includes casting temperature data information and mold temperature data information; the production time data information includes filling time data information, pressurization and decompression time data information, pressure holding time data information and mold retention time data information;

[0105] The morphological data information acquisition unit is used to acquire two-dimensional images of the standard product and the product to be calibrated.

[0106] According to the above scheme, the error value calculation module includes a production data information error value calculation unit and a three-dimensional image error value calculation unit;

[0107] The production data information error value calculation unit calculates the production data information error value of the product to be calibrated according to the casting temperature data information, the mold temperature data information, the filling time data information, the pressurization and decompression time data information, the pressure holding time data information and the mold retention time data information; the three-dimensional image error value calculation unit divides the three-dimensional images of the product to be calibrated and the standard product into two-dimensional images, and calculates the three-dimensional image error value according to the pixel difference of the corresponding two-dimensional images.

[0108] According to the above scheme, the operation abnormality judgment module includes a morphological data information judgment unit and a production data information judgment unit;

[0109] The morphological data information judgment unit is used to judge the abnormality of the morphological data information of the abnormal product set to be calibrated; the production data information judgment unit is used to judge the abnormality of the production data information of the abnormal product set to be calibrated.

[0110] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0111] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for monitoring the operation status of an automatic calibration equipment based on data analysis, characterized in that: The method comprises the following steps: S1: Input the data information of the standard product and collect the data information of the product to be calibrated through sensors and cameras; S2: Calculate the error value of the product to be calibrated based on the data information of the standard product and the collected data information of the product to be calibrated; S3: According to the calculation results of the error value, the abnormal situation is judged, and the relevant management personnel are warned and prompted according to the specific abnormal situation; In step S2, the error value of the product to be calibrated is calculated; the casting temperature data information of the standard product is recorded as The mold temperature data information of the standard product is recorded as The filling time data information of the standard product is recorded as The pressurization and depressurization time data information of the standard product is recorded as The pressure holding time data information of the standard product is recorded as The mold retention time data information of the standard product is recorded as The temperature data information of the standard product is recorded as The production time data information of the standard product is recorded as Temperature data information about standard products Set up the following calculation formula: Where α is the weight of the casting temperature data information, 1-α is the weight of the mold temperature data information, where α∈0,1; Accordingly, information on the production time data of standard products Set up the following calculation formula: Where β is the weight of the filling time data information, γ is the weight of the pressurization and decompression time data information, δ is the weight of the pressure holding time data information, and 1-β-γ-δ is the weight of the mold retention time data information, where β∈0,1, γ∈0,1, δ∈0,1; The entire set of products to be calibrated is divided into n sets of products to be calibrated according to the production time sequence, where each set of products to be calibrated contains m products to be calibrated. The jth product to be calibrated in the i-th product set to be calibrated is denoted as P (i,j) ; The product to be calibrated P (i,j) The casting temperature data information is recorded as The product to be calibrated P (i,j) The mold temperature data information is recorded as The product to be calibrated P (i,j) The filling time data information is recorded as The product to be calibrated P (i,j) The data information of the pressurization and decompression time is recorded as The product to be calibrated P (i，j) The pressure holding time data information is recorded as The product to be calibrated P (i，j) The retention time data information is recorded as The product to be calibrated P (i，j) The temperature data information is recorded as The product to be calibrated P (i，j) The production time data information is recorded as i∈[1,m],j∈[1,n]; For the product to be calibrated P (i，j) Temperature data information Set up the following calculation formula: For the product to be calibrated P (i，j) Production time data information Set up the following calculation formula: The product to be calibrated P (i，j) The error value of production data information is recorded as SC (i，j) , the specific calculation formula is as follows: Then for the production data information error value SC of the i-th set of products to be calibrated i , the specific calculation formula is as follows: The product to be calibrated P (i，j) The 3D images of the standard product are divided into A 2D images, and the calibrated product P is calculated. (i，j) The three-dimensional image error value TDP (i，j) , the specific calculation formula is as follows: in Indicates the product to be calibrated P (i，j) The pixel value of the pixel point with coordinates (x, y) in the u-th two-dimensional image; Represents the pixel value of the pixel point with coordinates (x, y) in the u-th two-dimensional image of the standard product; E and F are the number of pixels in the horizontal and vertical coordinates of the two-dimensional image, x∈[1, E], y∈[1, F].

2. The method for monitoring the operation status of automatic calibration equipment based on data analysis according to claim 1, characterized in that: The data information in step S1 includes production data information and morphological data information; The production data information includes production temperature data information and production time data information; the production temperature data information includes casting temperature data information and mold temperature data information; the production time data information includes filling time data information, pressurization and decompression time data information, pressure holding time data information and mold retention time data information; The morphological data information includes two-dimensional images of the standard product and the product to be calibrated; a three-dimensional image is constructed by using the two-dimensional images of the standard product and the product to be calibrated.

3. The method for monitoring the operation status of automatic calibration equipment based on data analysis according to claim 2, characterized in that: Step S3: determining abnormal conditions of the automatic calibration device; Extract the product P to be calibrated (i，j) The three-dimensional image error value TDP (i，j) , for the three-dimensional image error value TDP (i，j) Preset thresholds ρ1 and ρ2, where 0<ρ1<ρ2<1; if the product to be calibrated P (i，j) The three-dimensional image error value TDP (i，j) ∈[0,ρ1), then the product to be calibrated is recorded as a high-quality product; If the product to be calibrated P (i，j) The three-dimensional image error value TDP (i，j) ∈[ρ1, ρ2), then the product to be calibrated is recorded as a normal qualified product; If the product to be calibrated P (i，j) The three-dimensional image error value TDP (i，j) ∈[ρ2, 1), the product to be calibrated is recorded as an unqualified product; The high quality product rate HP of the i-th set of products to be calibrated i Calculation; the calculation formula is as follows: HP i =HPM i / m, HPM i Represents the number of high-quality products in the i-th set of products to be calibrated.

4. The method for monitoring the operation status of automatic calibration equipment based on data analysis according to claim 3 is characterized in that: For the high-quality product rate of the set of products to be calibrated, the system sets a threshold θ; if the high-quality product rate HP of the i-th set of products to be calibrated is i ≥θ, then the i-th set of products to be calibrated is recorded as a normal set of products to be calibrated; if the high-quality product rate HP of the i-th set of products to be calibrated i <θ, then the i-th set of products to be calibrated is recorded as an abnormal set of products to be calibrated; If there are B consecutive abnormal product sets to be calibrated, where B is the number set by the system; extract the production data information error value of the abnormal product set to be calibrated, if the mean of the production data information error values ​​of the B abnormal product sets to be calibrated is greater than the set production data information error threshold, it is determined that the automatic calibration equipment has a morphological data information calibration abnormality; if the mean of the production data information error values ​​of the B abnormal product sets to be calibrated is less than or equal to the set production data information error threshold, it is determined that the automatic calibration equipment has a production data information calibration abnormality; Alarms and reminders will be given to relevant management personnel based on specific abnormal situations.

5. A system for monitoring the operation status of an automatic calibration device based on data analysis, wherein the system is applied to the method for monitoring the operation status of an automatic calibration device based on data analysis according to any one of claims 1 to 4, and is characterized in that: The automatic calibration equipment operation status monitoring system includes a data information acquisition module, a data information storage module, an error value calculation module and an operation abnormality judgment module; The data information acquisition module is used to collect data information of standard products and products to be calibrated; the data information storage module is used to store data information and calculation results of standard products and products to be calibrated; the error value calculation module is used to calculate error values ​​for products to be calibrated; the operation abnormality judgment module is used to judge the specific situation of the abnormal set of products to be calibrated.

6. The automatic calibration equipment operation status monitoring system based on data analysis according to claim 5 is characterized in that: The data information acquisition module includes a production data information acquisition unit and a morphology data information acquisition unit; The production data information acquisition unit is used to collect production temperature data information and production time data information; the production temperature data information includes casting temperature data information and mold temperature data information; the production time data information includes filling time data information, pressurization and decompression time data information, pressure holding time data information and mold retention time data information; The morphological data information acquisition unit is used to acquire two-dimensional images of the standard product and the product to be calibrated.

7. The automatic calibration equipment operation status monitoring system based on data analysis according to claim 6 is characterized in that: The error value calculation module includes a production data information error value calculation unit and a three-dimensional image error value calculation unit; The production data information error value calculation unit calculates the production data information error value of the product to be calibrated based on the casting temperature data information, the mold temperature data information, the filling time data information, the pressurization and decompression time data information, the pressure holding time data information and the mold retention time data information; the three-dimensional image error value calculation unit divides the three-dimensional images of the product to be calibrated and the standard product into two-dimensional images, and calculates the three-dimensional image error value based on the pixel difference of the corresponding two-dimensional images.

8. The automatic calibration equipment operation status monitoring system based on data analysis according to claim 7 is characterized in that: The operation abnormality judgment module includes a morphological data information judgment unit and a production data information judgment unit; The morphological data information judgment unit is used to judge the abnormality of the morphological data information of the abnormal product set to be calibrated; the production data information judgment unit is used to judge the abnormality of the production data information of the abnormal product set to be calibrated.

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