Mechanical part intelligent evaluation system and method and computer program product

Abstract

The invention discloses an intelligent evaluation system and method for a mechanical part and a computer program product, and the system comprises a measurement module which is used for measuring the size data of the mechanical part; the transmission module is used for acquiring size data of the mechanical part and transmitting the size data to the intelligent evaluation module; and the intelligent evaluation module is used for carrying out intelligent evaluation on the mechanical part according to the size data of the mechanical part to obtain an intelligent evaluation result. According to the technical scheme provided by the invention, the workpiece can be measured and rapidly and intelligently scored and evaluated, and the method has the advantages of rapid measurement, accurate positioning of error points, batch processing, intelligent evaluation and analysis, integration of big data reports and the like; data connection with a digital display measuring tool can be conveniently realized, the accuracy and timeliness of data transmission are ensured, and manual intervention links are greatly reduced; scoring standards can be set for a plurality of drawings in batches, and a plurality of parts can be evaluated in batches, so that the efficiency is improved; and a data analysis function improves product quality and production benefits.

Description

Technical Field

[0001] The present invention relates to the field of mechanical part evaluation, and particularly to an intelligent evaluation system, method and computer program product for mechanical parts. Background Art

[0002] In the field of mechanical part processing, the market demand for intelligent evaluation software is constantly rising. With the increasingly strict requirements of the manufacturing industry for product quality control and the accelerating demand for digital production processes, such software has become a key tool for improving production efficiency and quality control levels.

[0003] Currently, the commonly used intelligent evaluation technologies for mechanical parts are mainly traditional measuring devices combined with simple data analysis software. Usually, manual measuring tools are used to measure the basic dimensions and geometric tolerance dimensions of workpieces, and then the data is manually entered into a spreadsheet or specific software, and then compared and scored according to preset fixed standards. These software often can only set scoring standards for a single part drawing one by one, lack batch processing capabilities, and the data docking with digital display measuring tools is not convenient and efficient enough, and the data analysis function is also relatively basic, making it difficult to meet the complex requirements of large-scale and multi-batch production.

[0004] For example, when dealing with batch evaluation tasks of multiple mechanical part drawings, traditional technologies require a large amount of manpower and time for repetitive standard setting and data entry work. And due to poor data docking, data transmission errors or losses are likely to occur, resulting in inaccurate scoring results. At the same time, the limited depth of data analysis cannot provide comprehensive and effective data support for production process optimization, which is not conducive to enterprises continuously improving production processes and product quality. Summary of the Invention

[0005] In view of the above deficiencies in the current technology, the present invention provides an intelligent evaluation system for mechanical parts, which can measure workpieces and perform rapid and intelligent scoring evaluations, and has the advantages of rapid measurement, accurate positioning of error points, intelligent evaluation and analysis, etc.

[0006] To achieve the above object, the embodiments of the present invention adopt the following technical solutions: An intelligent evaluation system for mechanical parts, comprising: A measurement module for measuring the dimensional data of mechanical parts; A transmission module for obtaining the dimensional data of mechanical parts and transmitting it to the intelligent evaluation module; An intelligent evaluation module for performing intelligent evaluation on mechanical parts according to the dimensional data of mechanical parts to obtain an intelligent evaluation result.

[0007] According to one aspect of the present invention, the measurement module is: a mechanical part measuring instrument with a data transmission interface.

[0008] According to one aspect of the present invention, the transmission module includes: A wireless transmission transmitter, which is wired to the measurement module, obtains the dimensional data of the mechanical part from the measurement module, and wirelessly transmits it to the wireless transmission receiver; A wireless transmission receiver, which is wired to the intelligent evaluation module, receives the dimensional data of the mechanical part sent by the wireless transmission transmitter, and transmits it to the intelligent evaluation module.

[0009] According to one aspect of the present invention, the intelligent evaluation of the mechanical part based on the dimensional data of the mechanical part to obtain the intelligent evaluation result includes: Obtain the mechanical part drawing; Perform intelligent recognition of graphic elements on the mechanical part drawing to obtain graphic element group data; Set the mechanical part evaluation criteria according to the graphic element group data; Locate the dimensional data of the mechanical part on the mechanical part drawing; Compare the dimensional data of the mechanical part with the corresponding graphic element group data, and evaluate the mechanical part according to the mechanical part evaluation criteria to obtain the intelligent evaluation result.

[0010] According to one aspect of the present invention, the intelligent recognition of graphic elements on the mechanical part drawing includes: Use the rule engine method to perform intelligent detection on the mechanical part drawing and identify the graphic elements in the mechanical part drawing.

[0011] According to one aspect of the present invention, the mechanical part intelligent evaluation system further includes: The intelligent evaluation module can realize batch evaluation of several mechanical parts.

[0012] According to one aspect of the present invention, the mechanical part intelligent evaluation system further includes: The intelligent evaluation module can realize batch evaluation of mechanical parts corresponding to different mechanical part drawings.

[0013] According to one aspect of the present invention, the mechanical part intelligent evaluation system further includes: A big data analysis module, which is used to perform big data analysis based on the intelligent evaluation results obtained by the intelligent evaluation module to obtain big data analysis results; A report generation module, which is used to generate a big data report according to the big data analysis results.

[0014] A mechanical part intelligent evaluation method, based on the mechanical part intelligent evaluation system as described above, includes: Measure the dimensional data of the mechanical part; Obtain the dimensional data of the mechanical part and transmit it to the intelligent evaluation module; According to the dimensional data of mechanical parts, conduct an intelligent evaluation of the mechanical parts to obtain an intelligent evaluation result.

[0015] A computer program product includes a computer program, and when the computer program is executed, it implements the mechanical part intelligent evaluation system as described above.

[0016] Advantages of the implementation of the present invention: The present invention provides a mechanical part intelligent evaluation system, which can measure workpieces and perform fast and intelligent scoring and evaluation. It has the advantages of fast measurement, accurate positioning of error points, intelligent evaluation and analysis, batch processing, integrated big data reports, etc.

[0017] This system can conveniently realize data docking with digital display measuring tools to ensure the accuracy and timeliness of data transmission, greatly reducing the manual intervention link; it can batch-set scoring criteria for multiple drawings and batch-evaluate multiple parts, significantly improving the evaluation efficiency; the powerful data analysis function provides a strong basis for optimizing production processes, improving product quality and production efficiency. Brief Description of the Drawings

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0019] Figure 1 It is a structural diagram of a mechanical part intelligent evaluation system according to Embodiment 1 of the present invention; Figure 2 It is a specific implementation manner of the mechanical part intelligent evaluation system of the present invention; Figure 3 It is an analysis of the evaluation results of a student's assignment of the present invention; Figure 4 It is a structural diagram of a mechanical part intelligent evaluation system according to Embodiment 2 of the present invention. Detailed Embodiment

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0021] Embodiment 1

[0022] As shown Figure 1 in the figure, an intelligent evaluation system for mechanical parts includes: a measurement module 1, a transmission module 2, and an intelligent evaluation module 3.

[0023] Measurement module 1: used to measure the dimensional data of mechanical parts.

[0024] Specifically, the measurement module is: a mechanical part measuring instrument with a data transmission interface.

[0025] Currently, there are a wide variety of mechanical part measuring instruments with data transmission interfaces on the market, including laser rangefinders, calipers, micrometers, coordinate measuring machines, etc. Among them, the coordinate measuring machine is a high-precision measuring device that can measure the three-dimensional dimensions of parts with complex shapes and is usually connected to a computer through an Ethernet interface or other special interfaces to achieve fast data transmission and processing.

[0026] In practical applications, this system uses a coordinate measuring machine with digital display to measure mechanical parts, and during system development, it has been realized to be compatible with mainstream coordinate brands and their systems in the market, can automatically analyze the data files generated by the coordinate measuring machine, achieve real-time intelligent capture of measurement data, and achieve the purpose of real-time scoring and evaluation.

[0027] Transmission module 2: used to obtain the dimensional data of mechanical parts and transmit it to the intelligent evaluation module.

[0028] Usually, data transmission can adopt wired or wireless transmission modes. Preferably, this system adopts wireless transmission, which is not restricted by cables, is more convenient to use, and improves the operation efficiency of measurement.

[0029] Specifically, the transmission module 2 includes: a wireless transmission transmitter 21 and a wireless transmission receiver 22.

[0030] Wireless transmission transmitter 21: is wired to the measurement module, obtains the dimensional data of mechanical parts from the measurement module, and wirelessly transmits it to the wireless transmission receiver.

[0031] Wireless transmission receiver 22: is wired to the intelligent evaluation module, receives the dimensional data of mechanical parts sent by the wireless transmission transmitter, and transmits it to the intelligent evaluation module.

[0032] In practical applications, this system uses a wireless transmission transmitter U-WAVE-T and a wireless transmission receiver U-WAVE-R produced by Mitutoyo. U-WAVE-T can wirelessly transmit the data from the measuring instrument with digital display output function to the U-WAVE-R receiver, thus realizing the wireless import and recording of measurement data. U-WAVE-R can be used in conjunction with various measuring tools to achieve wireless transmission and recording of measurement data.

[0033] Intelligent evaluation module 3: used to perform intelligent evaluation on mechanical parts according to the dimensional data of the mechanical parts to obtain intelligent evaluation results.

[0034] Specifically, the performing intelligent evaluation on mechanical parts according to the dimensional data of the mechanical parts to obtain intelligent evaluation results includes: S1: Obtain the mechanical part drawing.

[0035] This system is based on the existing mechanical part drawings to measure and evaluate the mechanical parts manufactured and processed according to the drawings.

[0036] S2: Perform intelligent recognition of graphic elements on the mechanical part drawing to obtain graphic element group data.

[0037] Specifically, graphic elements include: contour lines, center lines, pattern fills, texts, dimensions, geometric tolerances, title bars, drawing frames, roughness, datum features, view symbols, etc. The system identifies all graphic elements in the drawing for setting evaluation criteria.

[0038] In practical applications, the mechanical part drawing can be detected by constructing a rule engine, YOLO object detection method, etc. to identify various graphic elements in the drawing. For example, using the rule engine method, corresponding detection rules are set according to the characteristics of various graphic elements. During detection, the entire drawing is traversed, and the parts in the drawing that meet the corresponding rules are identified as the corresponding graphic elements. For example, using the YOLO method, a pre-identified reference drawing is prepared as the training set, the YOLO network is trained, and during detection, the drawing is divided into grids to identify the graphic elements and their corresponding positions in the drawing.

[0039] S3: Set the evaluation criteria for mechanical parts according to the graphic element group data.

[0040] For example, according to what is drawn on the drawing, the length of a certain dimension of the mechanical part should be how much, and within a certain error range, it is considered qualified, and if it exceeds the error range requirement, it is considered incorrect. The scoring items can be set according to the graphic element group. The smaller the dimensional error of the part, the higher the score, and the larger the error, the lower the score. Finally, the total score is calculated as the total score of the part to be evaluated.

[0041] This system can automatically set scoring rules according to the requirements of mechanical part processing specifications; users can also customize scoring rules.

[0042] S4: Locate the dimensional data of the mechanical part on the mechanical part drawing.

[0043] In practical applications, when setting the scoring criteria, the serial numbers can be marked for each graphic element scoring item. When measuring the mechanical part, the measurement is carried out in sequence according to the serial numbers of the graphic elements, so that the dimensional data of the mechanical part can be corresponding to the drawing one by one.

[0044] The system also includes: Based on the dimensional data of mechanical parts and the geometric tolerance calculation formula, the intelligent evaluation module obtains the geometric tolerance values.

[0045] The intelligent evaluation module of this system also integrates 10 common geometric tolerance calculation formulas such as position tolerance, symmetry, flatness, parallelism, coaxiality, and circular runout, and includes the calculation method for measuring the hole distance of fitters. When using a digital display measuring instrument to measure mechanical parts, the measured values are transmitted to the intelligent evaluation module in real time through wireless transmission technology, automatically calculated to obtain the geometric tolerance values, and score determination is performed.

[0046] S5: Compare the dimensional data of the mechanical part with the corresponding primitive group data, evaluate the mechanical part according to the mechanical part evaluation standard, and obtain the intelligent evaluation result.

[0047] When the system is measuring, it can also calculate the score in real time according to the scoring standard. And the measured dimensions are displayed corresponding to the drawing, and wherever it is measured, the drawing display will automatically locate to that position.

[0048] Such as Figure 2 shown, is a specific implementation manner of this system.

[0049] Preferably, the system also includes: The intelligent evaluation module can realize batch evaluation of several mechanical parts.

[0050] In practical applications, this system can be applied to training teaching. For the same drawing, multiple students carry out machining operations on mechanical parts, and this system can batch evaluate the operations of these students to obtain the scoring results of the students.

[0051] To meet the needs of training teaching and big data accumulation, the system can also develop a project library management module for unified management of training projects, integrating training projects, drawings, dimensional data, scoring standards, student scores, etc., making the training projects and training results clear at a glance. Such as Figure 3 shown, is an analysis of the evaluation results of a student's assignment.

[0052] Preferably, the system also includes: The intelligent evaluation module can realize batch evaluation of mechanical parts corresponding to different mechanical part drawings.

[0053] In practical applications, this system also supports importing multiple processing drawings for one project, setting corresponding scoring standards respectively, and supporting one-key allocation of scores. Then, for multiple processing drawings, part evaluation can be realized batchwise simultaneously.

[0054] The beneficial effects of this embodiment are as follows: (1) Convenient and efficient data docking: This method can achieve seamless docking with digital display measuring tools, directly obtain measurement data, avoid errors and low efficiency problems that may occur in manual data entry, and ensure the accuracy and timeliness of data.

[0055] (2) Comprehensive dimension measurement and evaluation: It can not only measure and evaluate basic dimensions, but also accurately measure and analyze geometric tolerance dimensions, with more comprehensive functions, meeting the more stringent and detailed control requirements for the quality of mechanical parts.

[0056] (3) Personalized scoring standard design: The scoring standard can be flexibly designed according to the requirements of processing drawings, and can better adapt to the diverse needs of different processed products.

[0057] (4) Batch setting and processing: The scoring standard can be batch-set for multiple drawings, and multiple parts can be batch-evaluated, greatly improving the evaluation efficiency.

[0058] Embodiment 2

[0059] As Figure 4 shown, an intelligent evaluation system for mechanical parts includes: a measurement module 1, a transmission module 2, an intelligent evaluation module 3, a big data analysis module 4, and a report generation module 5.

[0060] Measurement module 1: Used to measure the dimension data of mechanical parts.

[0061] Specifically, the measurement module is: a mechanical part measuring instrument with a data transmission interface.

[0062] Currently, there are many types of mechanical part measuring instruments with data transmission interfaces on the market, including laser rangefinders, calipers, micrometers, coordinate measuring machines, etc. Among them, the coordinate measuring machine is a high-precision measuring device that can measure the three-dimensional dimensions of parts with complex shapes and is usually connected to a computer through an Ethernet interface or other special interfaces to achieve fast data transmission and processing.

[0063] In practical applications, this system uses a coordinate measuring machine with digital display to measure mechanical parts, and during system development, it has achieved compatibility with mainstream coordinate brands and their systems in the market, can automatically analyze the data files generated by the coordinate measuring machine, and achieve real-time intelligent capture of measurement data to achieve the purpose of real-time scoring and evaluation.

[0064] Transmission module 2: Used to obtain the dimension data of mechanical parts and transmit it to the intelligent evaluation module.

[0065] Generally, data transmission can adopt wired or wireless transmission modes. Preferably, the present system adopts wireless transmission, which is not restricted by cables, is more convenient to use, and improves the operation efficiency of measurement.

[0066] Specifically, the transmission module 2 includes: a wireless transmission transmitter 21 and a wireless transmission receiver 22.

[0067] Wireless transmission transmitter 21: Wiredly connected to the measurement module, obtains the dimensional data of mechanical parts from the measurement module, and wirelessly transmits it to the wireless transmission receiver.

[0068] Wireless transmission receiver 22: Wiredly connected to the intelligent evaluation module, receives the dimensional data of mechanical parts sent by the wireless transmission transmitter, and transmits it to the intelligent evaluation module.

[0069] In practical applications, the present system adopts a wireless transmission transmitter U-WAVE-T and a wireless transmission receiver U-WAVE-R produced by Mitutoyo. U-WAVE-T can wirelessly transmit the data from a measuring instrument with a digital display output function to the U-WAVE-R receiver, thus realizing the wireless import and recording of measurement data. U-WAVE-R can be used in conjunction with various measuring tools to realize the wireless transmission and recording of measurement data.

[0070] Intelligent evaluation module 3: Used to intelligently evaluate mechanical parts according to the dimensional data of mechanical parts and obtain intelligent evaluation results.

[0071] Specifically, intelligently evaluating mechanical parts according to the dimensional data of mechanical parts and obtaining intelligent evaluation results includes: S1: Obtain the mechanical part drawing.

[0072] This system is based on existing mechanical part drawings to measure and evaluate the mechanical parts manufactured and processed according to the drawings.

[0073] S2: Intelligently identify the graphic elements of the mechanical part drawing and obtain graphic element group data.

[0074] Specifically, the graphic elements include: contour lines, center lines, pattern fills, texts, dimensions, geometric tolerances, title bars, drawing frames, roughness, datum features, view symbols, etc. The system identifies all the graphic elements in the drawing for setting evaluation criteria.

[0075] In practical applications, mechanical part drawings can be detected by constructing a rule engine, YOLO object detection method, etc., to identify various primitive elements in the drawings. For example, using the rule engine method, corresponding detection rules are set according to the characteristics of various primitive elements. During detection, the entire drawing is traversed, and the parts in the drawing that meet the corresponding rules are identified as the corresponding primitive elements. For example, using the YOLO method, a pre-prepared reference drawing that has been identified is used as the training set to train the YOLO network. During detection, the drawing is divided into grids to identify the primitive elements in the drawing and their corresponding positions.

[0076] S3: Set the mechanical part evaluation criteria according to the primitive element group data.

[0077] For example, according to what is drawn on the drawing, the length of a certain dimension of the mechanical part should be a certain value, and within a certain error range, it is considered qualified. If it exceeds the error range requirement, it is considered incorrect. Based on the primitive element group, scoring items can be set. The smaller the dimensional error of the part, the higher the score, and the larger the error, the lower the score. Finally, the total score is calculated as the total score of the part to be evaluated.

[0078] This system can automatically set the scoring rules according to the requirements of mechanical part processing specifications; users can also customize the scoring rules.

[0079] S4: Locate the dimensional data of the mechanical part on the mechanical part drawing.

[0080] In practical applications, when setting the scoring criteria, serial numbers can be marked for each primitive element scoring item. When measuring the mechanical part, the measurements are taken in sequence according to the serial number of the primitive element, so that the dimensional data of the mechanical part can be corresponding to the drawing one by one.

[0081] This system also includes: The intelligent evaluation module obtains the geometric tolerance value based on the geometric tolerance calculation formula according to the dimensional data of the mechanical part.

[0082] The intelligent evaluation module of this system also integrates 10 common geometric tolerance calculation formulas such as position tolerance, symmetry, flatness, parallelism, coaxiality, and circular runout, and includes the calculation method for measuring the hole pitch of fitters. When using a digital display measuring instrument to measure a mechanical part, the measured value is transmitted to the intelligent evaluation module in real time through wireless transmission technology, and the geometric tolerance value is automatically calculated and the score determination is made.

[0083] S5: Compare the dimensional data of the mechanical part with the corresponding primitive element group data, evaluate the mechanical part according to the mechanical part evaluation criteria, and obtain the intelligent evaluation result.

[0084] When the system is performing measurements, it can also calculate scores in real time according to the scoring criteria. Moreover, the measured dimensions are displayed corresponding to the drawing, and wherever the measurement is taken, the drawing display will automatically locate to that position.

[0085] As Figure 2 shown, it is a specific implementation manner of this system.

[0086] Preferably, this system further includes: The intelligent evaluation module can realize the batch evaluation of several mechanical parts.

[0087] In practical applications, this system can be applied to training teaching. For the same drawing, multiple students carry out machining operations on mechanical parts, and this system can conduct batch evaluation on the operations of these students to obtain the scoring results of the students.

[0088] To meet the needs of training teaching and the accumulation of big data, this system can also develop a project library management module for unified management of training projects, integrating training projects, drawings, dimension data, scoring criteria, student grades, etc., making the training projects and training results clear at a glance. As Figure 3 shown, it is an analysis of the evaluation results of a student's assignment.

[0089] Preferably, this system further includes: The intelligent evaluation module can realize the batch evaluation of mechanical parts corresponding to different mechanical part drawings.

[0090] In practical applications, this system also supports importing multiple machining drawings for one project, setting corresponding scoring criteria respectively, and supporting one-key allocation of scores. Then, for multiple machining drawings, it can batch realize part evaluation simultaneously.

[0091] Big data analysis module 4: It is used to perform big data analysis based on the intelligent evaluation results obtained by the intelligent evaluation module to obtain big data analysis results.

[0092] In practical applications, this system is applicable to application scenarios such as workpiece measurement, workpiece measurement teaching, training for competition teams, diagnosis of training teaching, and analysis of workpiece processing qualification rate in the daily mechanical processing training teaching of schools, and plays an important role in improving the processing level and quality of students.

[0093] After the evaluation and scoring determination of students' mechanical parts, the system will generate a big data report in real time, generating students' personal transcripts, analysis of the overall class performance, students' mastery of knowledge points, etc. Through means such as analysis from various dimensions, trend analysis, and diversified analysis, it helps teachers better understand the students' training processing situation and the overall class situation.

[0094] Report generation module 5: used to generate a big data report based on the big data analysis results.

[0095] This system can also generate a big data report according to the student evaluation situation and big data analysis results. For example, it can customize a workpiece qualification rate report for the mechanical major, and the dimensional problem points are reflected in the form of the qualification rate, which is clear at a glance.

[0096] Preferably, this system can also develop a visualization module to visualize the evaluation situation, scoring results, big data analysis results, etc., and display the scoring results and data analysis report through charts, graphs, etc., so that managers can understand and master the product processing quality more clearly and quickly, or it is convenient for teachers to more intuitively and conveniently understand the situation of class students.

[0097] The beneficial effect of this embodiment is that this method also has a powerful data analysis function. After scoring, in-depth data analysis can be carried out, providing a strong basis for optimizing the processing technology, helping to discover potential problems and improvement directions in the processing process, and improving product quality.

[0098] Embodiment Three

[0099] A mechanical part intelligent evaluation method, based on the mechanical part intelligent evaluation system as described in Embodiment One or Two, includes: Measuring the dimensional data of the mechanical part; Obtaining the dimensional data of the mechanical part and transmitting it to the intelligent evaluation module; According to the dimensional data of the mechanical part, performing an intelligent evaluation on the mechanical part to obtain an intelligent evaluation result.

[0100] Preferably, this method further includes: Performing big data analysis according to the intelligent evaluation result obtained by the intelligent evaluation module to obtain big data analysis results; Generating a big data report according to the big data analysis results.

[0101] Embodiment Four

[0102] A computer program product includes a computer program, and when the computer program is executed, it implements the mechanical part intelligent evaluation system as described in Embodiment One or Two.

[0103] Embodiment Five

[0104] A readable storage medium stores the computer program as described in Embodiment Four, and when the computer program is executed, it implements the mechanical part intelligent evaluation system as described in Embodiment One or Two.

[0105] As described above, it is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims described above.

Claims

1. A mechanical parts intelligent evaluation system, characterized in that: include: Measuring module, used to measure the dimensional data of mechanical parts; The transmission module is used to obtain the dimensional data of mechanical parts and transmit it to the intelligent evaluation module; The intelligent evaluation module is used to perform intelligent evaluation on mechanical parts according to the dimensional data of the mechanical parts to obtain intelligent evaluation results.

2. The intelligent evaluation system for mechanical parts according to claim 1 is characterized in that: The measuring module is a mechanical parts measuring instrument with a data transmission interface.

3. The intelligent evaluation system for mechanical parts according to claim 1 is characterized in that: The transmission module comprises: A wireless transmission transmitter is wiredly connected to the measuring module, obtains the dimension data of the mechanical parts from the measuring module, and transmits it wirelessly to the wireless transmission receiver; The wireless transmission receiver is wiredly connected to the intelligent evaluation module, receives the dimensional data of the mechanical parts sent by the wireless transmission transmitter, and transmits it to the intelligent evaluation module.

4. The intelligent evaluation system for mechanical parts according to claim 1 is characterized in that: The intelligent evaluation of the mechanical parts according to the size data of the mechanical parts to obtain the intelligent evaluation results includes: Obtain drawings of mechanical parts; Intelligently identify graphic elements in mechanical parts drawings and obtain graphic element group data; Set mechanical parts evaluation criteria based on primitive group data; Locate the dimension data of mechanical parts on the mechanical parts drawing; The dimension data of the mechanical parts are compared with the corresponding primitive group data, and the mechanical parts are evaluated according to the mechanical parts evaluation criteria to obtain intelligent evaluation results.

5. The intelligent evaluation system for mechanical parts according to claim 4 is characterized in that: The intelligent recognition of graphic elements on the mechanical parts drawings comprises: The rule engine method is used to intelligently detect mechanical part drawings and identify the graphic elements in the mechanical part drawings.

6. The intelligent evaluation system for mechanical parts according to claim 4 is characterized in that: The mechanical parts intelligent evaluation system also includes: The intelligent evaluation module can realize batch evaluation of several mechanical parts.

7. The intelligent evaluation system for mechanical parts according to claim 4 is characterized in that: The mechanical parts intelligent evaluation system also includes: The intelligent evaluation module can realize batch evaluation of mechanical parts corresponding to different mechanical parts drawings.

8. The intelligent evaluation system for mechanical parts according to claim 1 is characterized in that: The mechanical parts intelligent evaluation system also includes: The big data analysis module is used to perform big data analysis based on the intelligent evaluation results obtained by the intelligent evaluation module to obtain big data analysis results; The report generation module is used to generate big data reports based on big data analysis results.

9. A method for intelligent evaluation of mechanical parts, characterized in that: The intelligent evaluation system for mechanical parts according to any one of claims 1 to 8 comprises: Measure the dimensional data of mechanical parts; Obtain the dimensional data of mechanical parts and transmit it to the intelligent evaluation module; According to the dimensional data of mechanical parts, the mechanical parts are intelligently evaluated to obtain intelligent evaluation results.

10. A computer program product, characterized in that It comprises a computer program, which, when executed, implements the intelligent evaluation system for mechanical parts as described in any one of claims 1 to 8.

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