Part design and quality evaluation system and method based on infinite life

Abstract

The invention discloses a part design and quality evaluation system and method based on infinite life, and relates to the technical field of engineering machinery, and the system comprises an information collection module which is used for collecting various information of parts; the comprehensive database is established to organize and record various types of information collected by the information collection module according to the types; the integrated data analysis module is used for collecting latest data, analyzing comprehensive database data and the latest data, distinguishing optimization items and analysis items and recording the optimization items and the analysis items; the data optimization evaluation module is used for carrying out instructive optimization and design optimization according to latest data collected by the integrated data analysis module; or carrying out quality analysis on the existing part according to the evaluation standard. According to the method, the infinite life design is taken as a target, a comprehensive database with sustainable optimization is established, multi-dimensional full-angle optimization evaluation is carried out, the early fault recognition rate is improved, timely maintenance or remanufacturing is carried out, and the service life of a product is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering machinery, and in particular to a component design and quality assessment system and method based on infinite lifespan. Background Art

[0002] As the backbone of national infrastructure, construction machinery plays a very important role in promoting the rapid development of the economy and manufacturing industry. Especially for ultra-large mining equipment, the high investment cost, high manufacturing difficulty, harsh environmental conditions, high maintenance cost, high failure rate and high maintenance costs have a huge impact on both enterprises and customers.

[0003] For ultra-large equipment, high-value products must have high reliability to reduce unnecessary losses in the later stage and the stability of the equipment in actual working conditions and applications. The design methods and quality assessment standards in existing technologies are relatively imperfect. In order to ensure product quality and controllable and adjustable costs, it is necessary to control and interpret the products in all dimensions, and continuously iterate and update technology, quality, and services. Summary of the invention

[0004] The purpose of the present invention is to provide a component design and quality assessment system and assessment method based on infinite life, so as to solve the problems in the prior art raised by the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a component design and quality assessment system based on infinite life, comprising: An information collection module, which is used to collect various types of information about parts; A comprehensive database is established to organize and record various types of information collected by the information collection module according to categories; An integrated data analysis module, which collects the latest data, analyzes the comprehensive database data and the latest data, distinguishes optimization items and analysis items, and records them; A data optimization and evaluation module collects the latest data according to the integrated data analysis module to perform guided optimization and design optimization; or performs quality analysis on existing parts according to evaluation standards.

[0006] Preferably, when the data optimization and evaluation module performs guided optimization and design optimization, the guided optimization and design optimization results are applied to products, and the optimization is continuously performed iteratively; When the data optimization and evaluation module performs quality analysis on existing parts according to the evaluation criteria, quality evaluation is performed on non-quantifiable and quantifiable parameters, and the evaluation results are available or unavailable.

[0007] Preferably, the evaluation result is that if the component is usable, it will continue to be used if it appears normal, and if it appears abnormal, its maintainability will be evaluated, and if it is maintainable, it will be repaired or remanufactured, and if it is not maintainable, it will be scrapped; If the evaluation result is unusable, it is directly scrapped and data is collected through the information collection module and recorded in the comprehensive database.

[0008] Preferably, the guiding optimization includes documents, standards and / or specifications with practical guiding significance; The design optimization is a design-oriented content including design parameters, boundary conditions, structure, simulation, fatigue and / or innovation.

[0009] Preferably, the quality analysis is divided into qualitative analysis and quantitative analysis, wherein, when performing the quality analysis, the qualitative analysis is performed first and then the quantitative analysis; Both qualitative standards and quantitative indicators are derived from the corresponding specifications in the comprehensive database.

[0010] The evaluation method of the component design and quality evaluation system based on infinite life, according to the above-mentioned component design and quality evaluation system based on infinite life, comprises the following steps: S1: Collect various information of parts through the information collection module; S2: Organize and record various types of information collected by S1 according to categories by establishing the comprehensive database; S3: Collect the latest data through the integrated data analysis module, analyze the comprehensive database data and the latest data, distinguish and record the optimization items and analysis items; S4: Collect the latest data through the data optimization and evaluation module according to the integrated data analysis module to perform guided optimization and design optimization; or perform quality analysis on existing parts according to the evaluation standards.

[0011] Preferably, the various types of component information collected in S1 include cutting-edge technology, internal and external customer needs, fault information, design optimization and / or manufacturing capabilities.

[0012] Preferably, S5: when the data optimization and evaluation module performs guidance optimization and design optimization, the guidance optimization and design optimization results are applied to products, and the optimization is continuously optimized through iteration; S6: When the data optimization and evaluation module performs quality analysis on existing parts according to the evaluation criteria, quality evaluation is performed on non-quantifiable and quantifiable parameters, and the evaluation results are available or unavailable.

[0013] Preferably, S7: performing corresponding processing on existing parts according to the evaluation result of S6.

[0014] Preferably, S7: performing corresponding processing on the existing parts according to the evaluation result of S6, specifically as follows: If the evaluation result is usable, if the parts appear normal, they will continue to be used; if the parts appear abnormal, their maintainability will be evaluated. If they are maintainable, they will be repaired or remanufactured; if they are not maintainable, they will be scrapped; If the evaluation result is unusable, it is directly scrapped and data is collected through the information collection module and recorded in the comprehensive database.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The present invention aims at infinite life design, establishes a comprehensive database with sustainable optimization, conducts multi-dimensional and all-angle optimization evaluation, improves the early identification rate of faults, conducts timely repairs or remanufacturing, and increases product service life; based on problem identification, iterative design and guidance document optimization are simultaneously updated, the improvement and upgrading of new products are accelerated, and they are quickly put on the market, achieving rapid iterative optimization and upgrading of products, and quickly improving product service life, reliability and competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are part of the present invention and are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but do not constitute an improper limitation of the present invention. Obviously, the drawings described below are only some embodiments. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 It is a schematic diagram of the component design and quality assessment system based on infinite life of the present invention; Figure 2 It is a flow chart of an evaluation method of a component design and quality evaluation system based on infinite life of the present invention; Figure 3 It is a schematic diagram of the information collection module of the component design and quality assessment system based on infinite life of the present invention; Figure 4 It is a schematic diagram of a comprehensive database of a component design and quality assessment system based on infinite lifespan of the present invention; Figure 5 A schematic diagram of an integrated data analysis module for a component design and quality assessment system based on an infinite lifespan of the present invention; Figure 6 It is a schematic diagram of a data optimization evaluation module of a component design and quality evaluation system based on infinite lifespan of the present invention; Figure 7 It is a schematic diagram of quality analysis of the component design and quality assessment system based on infinite life of the present invention; Figure 8It is a schematic diagram of quality assessment of a component design and quality assessment system based on infinite life of the present invention; Fig. 9 It is a schematic diagram of the output results of the component design and quality assessment system based on infinite life of the present invention; Fig.10 This is a schematic diagram of a crawler chain track structure according to an embodiment of the present invention; Fig.11 It is a schematic diagram of a crawler chain track application in an embodiment of the present invention.

[0018] In the figure: 1. Chain track; 2. Pin shaft; 3. Pin bushing; 4. Track plate; 5. Walking beam; 6. Track clamping device; 7. Support wheel; 001. Chain track tread; 002. Mushroom head; 003. Track plate rib. DETAILED DESCRIPTION

[0019] 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.

[0020] The present invention provides a component design and quality assessment system based on infinite life, comprising: Information collection module: the information collection module is used to collect various information of parts; Comprehensive database: Establish a comprehensive database to organize and record various types of information collected by the information collection module according to categories; Integrated data analysis module: The integrated data analysis module collects the latest data, analyzes the comprehensive database data and the latest data, distinguishes optimization items and analysis items and records them; Data optimization and evaluation module: The data optimization and evaluation module collects the latest data based on the integrated data analysis module to perform guided optimization and design optimization; or conducts quality analysis on existing parts based on evaluation standards.

[0021] Quality analysis is divided into qualitative analysis and quantitative analysis. When conducting quality analysis, qualitative analysis is performed first and then quantitative analysis. Both qualitative standards and quantitative indicators are derived from the corresponding specifications in the comprehensive database.

[0022] It should be noted that: when the data optimization and evaluation module performs guided optimization and design optimization, the guided optimization and design optimization results are applied to products and continuously optimized through iterations; When the data optimization evaluation module performs quality analysis on existing parts according to the evaluation criteria, quality evaluation is performed on non-quantifiable and quantifiable parameters, and the evaluation results are either available or unavailable.

[0023] As a further explanation: if the evaluation result is usable, if the parts appear normal, continue to use them; if the parts appear abnormal, evaluate their maintainability; if they are maintainable, repair or remanufacture them; if they are not maintainable, scrap them; If the evaluation result is unusable, it will be scrapped directly and data will be collected through the information collection module and recorded in the comprehensive database.

[0024] As a further qualification: Guidance optimization includes documents, standards and / or specifications that have practical guidance significance; Design optimization is a design-oriented content, including design parameters, boundary conditions, structure, simulation, fatigue and / or innovation.

[0025] The evaluation method of the component design and quality evaluation system based on infinite life, according to the component design and quality evaluation system based on infinite life, comprises the following steps: S1: Collect various parts information through the information collection module; As a further limitation: the various types of component information collected in S1 include cutting-edge technology, internal and external customer needs, failure information, design optimization and / or manufacturing capabilities.

[0026] S2: Organize and record various types of information collected by S1 according to categories by establishing a comprehensive database; S3: Collect the latest data through the integrated data analysis module, analyze the comprehensive database data and the latest data, distinguish and record the optimization items and analysis items; S4: Through the data optimization evaluation module, the latest data is collected according to the integrated data analysis module for guided optimization and design optimization; or the quality analysis of existing parts is carried out according to the evaluation standards.

[0027] S5: When the data optimization and evaluation module performs guided optimization and design optimization, the guided optimization and design optimization results are applied to the product, and iterative optimization is continued; S6: When the data optimization evaluation module performs quality analysis on existing parts according to the evaluation criteria, quality evaluation is performed on non-quantifiable and quantifiable parameters, and the evaluation results are available or unavailable.

[0028] S7: According to the evaluation results of S6, the existing parts are processed accordingly, as follows: If the evaluation result is usable, if the parts appear normal, they will continue to be used; if the parts appear abnormal, their maintainability will be evaluated. If they are maintainable, they will be repaired or remanufactured; if they are not maintainable, they will be scrapped; If the evaluation result is unusable, it will be scrapped directly and data will be collected through the information collection module and recorded in the comprehensive database.

[0029] Embodiment 1

[0030] Take the crawler chain track as an example for detailed description. Fig.10 and Fig.11 As shown. The crawler assembly is mainly composed of a chain track 1, a pin shaft 2, a bushing 3 and a track shoe 4, which transmits the vehicle's gravity and the load during work and travel to the ground. The track shoe 4 is provided with ribs, which are inserted into the ground to generate a large traction force to support travel and steering. The supporting roller 7 rolls along the tread of the chain track 1 to achieve travel and load bearing, and the supporting roller 7 clamps the track chain track 1 with both edges to prevent the track from derailing. Vehicles in some working conditions are equipped with a track clamping device 6 to protect the chain track 1 and prevent the track chain track 1 from slipping.

[0031] In actual application, especially for large vehicles, extremely heavy and external loads are extremely large, which are transmitted to the track chain 1 through the supporting roller 7, causing wear or even breakage of the track 1, the pin sleeve 3, the pin shaft 2, etc. When the vehicle turns or tilts during walking, the huge overturning moment causes the track to derail, accelerating the wear of the track 1, the supporting roller 7, and the track clamping device 6. Under harsh working conditions, the continuous iterative optimization of information and design can ensure the reliability of the track chain 1.

[0032] See also Figure 1 and Figure 2 The above crawler chain track is evaluated and optimized according to the component design and quality evaluation system based on infinite life and its evaluation method, and the specific steps are as follows: S1: Collect various parts information through the information collection module, including but not limited to cutting-edge technology, internal and external customer needs, fault information, design optimization, manufacturing capabilities, etc. Figure 3 As shown, sources include but are not limited to customers, services, designs, manufacturing, etc., and are entered into a comprehensive database.

[0033] The track chain 1 information is collected and input through the information collection module, among which customer information mainly comes from OEM customers and market customers, service information mainly comes from OEM market service information feedback, design information mainly comes from OEM matching design feedback and continuous upgrading and optimization of its own products, and manufacturing information mainly comes from OEM assembly feedback and track manufacturing process feedback.

[0034] S2: Establish a comprehensive database based on needs, types, failure modes under different working conditions, etc., sort out and record the information collected in S1, and continuously improve the comprehensive database.

[0035] like Figure 4As shown, the crawler chain track comprehensive database performs multi-dimensional parameter settings according to actual needs: failure mode, number of faults, fault time, evaluation criteria, gear train parameters, design life, working conditions, working posture, working time, working temperature, historical records, etc. According to the above parameter settings, the information obtained by S1 is recorded and stored accordingly.

[0036] S3: Integrate the comprehensive database resources and the latest data through the integrated data analysis module, perform data analysis and processing, distinguish optimization items and analysis items, update the corresponding information in real time, and record it as an information collection item.

[0037] like Figure 5 As shown, the crawler chain track data is processed, the information recorded in S1 is classified and sorted, and the optimization items and analysis items are distinguished. The distinction rules are as follows: 1. Optimization items: various standards, documents, parameters, services and other information with guiding significance; various boundaries, design parameters, simulation inputs, structural designs and other information with practical design guiding significance.

[0038] 2. Analysis items: information on the status and faults of the crawler chain track 1.

[0039] The optimization and analysis steps are performed simultaneously.

[0040] S4: Through the data optimization and evaluation module, according to the data processing results, on the one hand, based on the latest information parameter input, guided optimization and design optimization are carried out; on the other hand, quality analysis of existing parts is carried out according to the evaluation standards, including but not limited to qualitative and quantitative analysis.

[0041] like Figure 6 The track chain optimization shown in the figure is divided into three steps: guidance optimization and design optimization. The guidance optimization mainly includes optimization of various guidance documents and parameters, such as maintenance cycle, warranty period, design life, service life, operating specifications, maintenance manuals, etc. The design optimization mainly includes optimization of simulation boundaries, fatigue curves, design parameters, structural design, etc.

[0042] like Figure 7The track chain analysis shown is divided into non-quantifiable and quantifiable monitoring and analysis contents. Among them, the non-quantifiable monitoring and analysis contents are: cracks on the chain track tread 001, pieces of chain track tread 001 falling off, curling of the mushroom head 002 at the end of the shaft, partial broaching of the chain track 1 shaft hole, complete broaching of the chain track 1 shaft hole, and pieces of chain track 1 falling off on the shaft side; wear on the end of the pin shaft 2, indentation of the shaft end countersink, peeling of the surface of the pin shaft 2, cracking of the chain track 1 shaft end, and adhesion of other metals on the surface of the pin shaft 2; wear on the chain track 1 shaft sleeve hole, deformation of the chain track 1 shaft sleeve hole, cracks in the shaft sleeve, and grooves at the end of the shaft sleeve; bending and deformation of the track shoe 4, wear on the front and rear edges of the track shoe 4, and fracture of the track shoe 4. Quantifiable monitoring and analysis contents: wear on the inner hole of the shaft sleeve, wear on the surface of the shaft sleeve; wear on the surface of the pin shaft 2, high wear on the countersink at the end of the shaft; wear on the rib height and pitch wear of the track shoe 4.

[0043] According to the above detection contents, the crawler chain track 1 information is analyzed accordingly.

[0044] S4 is decomposed into S5 and S6 synchronously.

[0045] S5: Apply the results of guided optimization and design optimization to products and put them on the market. Repeat the above steps iteratively for continuous optimization.

[0046] S6: Based on the quality analysis and evaluation criteria, quality evaluation is performed on non-quantifiable and quantifiable parameters. The evaluation results are generally available or unavailable.

[0047] like Figure 8 As shown, for the track chain evaluation, for non-quantifiable monitoring content, if available, it is calibrated to Y, if not available, it is calibrated to N. For quantifiable monitoring content, it is marked with M, and the inspection and evaluation are carried out according to the corresponding measurement standards. If the standard requirements are met, it is calibrated to Y, and if the standard requirements are not met, it is calibrated to N.

[0048] S7: According to the evaluation results of S6, the existing parts are processed accordingly. If the parts are available, they will continue to be used if they appear normal. If the parts appear abnormal, their maintainability will be evaluated. If they are maintainable, they will be repaired or remanufactured. If they are not maintainable, they will be scrapped. If they are not available, they will be scrapped directly. And they will be recorded as information collection items for continuous iterative optimization.

[0049] like Fig. 9 As shown, the crawler chain track result is output, the result processing is performed according to the requirements of S7, and the result processing information is re-input into S1 as a new information source for information collection and input through the information acquisition module.

[0050] Repeat the above steps to correct the track parameters and performance in multiple dimensions, achieve continuous and rapid product improvement and upgrade, and continuously increase product service life.

[0051] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A component design and quality assessment system based on infinite life, characterized in that: include: An information collection module, which is used to collect various types of information about parts; A comprehensive database is established to organize and record various types of information collected by the information collection module according to categories; An integrated data analysis module, which collects the latest data, analyzes the comprehensive database data and the latest data, distinguishes optimization items and analysis items, and records them; A data optimization and evaluation module collects the latest data according to the integrated data analysis module to perform guided optimization and design optimization; or performs quality analysis on existing parts according to evaluation standards.

2. The component design and quality assessment system based on infinite lifespan according to claim 1, characterized in that: When the data optimization and evaluation module performs guided optimization and design optimization, the guided optimization and design optimization results are applied to products, and the optimization is continuously iterated; When the data optimization and evaluation module performs quality analysis on existing parts according to the evaluation criteria, quality evaluation is performed on non-quantifiable and quantifiable parameters, and the evaluation results are available or unavailable.

3. The component design and quality assessment system based on infinite lifespan according to claim 2, characterized in that: If the evaluation result is usable, if the parts appear normal, they will continue to be used; if the parts appear abnormal, their maintainability will be evaluated. If they are maintainable, they will be repaired or remanufactured; if they are not maintainable, they will be scrapped; If the evaluation result is unusable, it is directly scrapped and data is collected through the information collection module and recorded in the comprehensive database.

4. The component design and quality assessment system based on infinite lifespan according to any one of claims 1 to 3, characterized in that: The guiding optimization includes documents, standards and / or specifications with practical guiding significance; The design optimization is a design-oriented content including design parameters, boundary conditions, structure, simulation, fatigue and / or innovation.

5. The component design and quality assessment system based on infinite lifespan according to claim 4, characterized in that: The quality analysis is divided into qualitative analysis and quantitative analysis, wherein, when performing the quality analysis, qualitative analysis is performed first and then quantitative analysis; Both qualitative standards and quantitative indicators are derived from the corresponding specifications in the comprehensive database.

6. An evaluation method for a component design and quality evaluation system based on an infinite lifespan, characterized in that: The component design and quality assessment system based on infinite life according to any one of claims 1 to 5 comprises the following steps: S1: Collect various information of parts through the information collection module; S2: Organize and record various types of information collected by S1 according to categories by establishing the comprehensive database; S3: Collect the latest data through the integrated data analysis module, analyze the comprehensive database data and the latest data, distinguish and record the optimization items and analysis items; S4: Collect the latest data through the data optimization and evaluation module according to the integrated data analysis module to perform guided optimization and design optimization; or perform quality analysis on existing parts according to the evaluation standards.

7. The evaluation method of the component design and quality evaluation system based on infinite life according to claim 6, characterized in that: The various types of component information collected in S1 include cutting-edge technology, internal and external customer needs, failure information, design optimization and / or manufacturing capabilities.

8. The evaluation method of the component design and quality evaluation system based on infinite life according to claim 7, characterized in that: S5: When the data optimization and evaluation module performs guided optimization and design optimization, the guided optimization and design optimization results are applied to products, and the optimization is continuously optimized through iteration; S6: When the data optimization and evaluation module performs quality analysis on existing parts according to the evaluation criteria, quality evaluation is performed on non-quantifiable and quantifiable parameters, and the evaluation results are available or unavailable.

9. The evaluation method of the component design and quality evaluation system based on infinite lifespan according to claim 8, characterized in that: S7: Perform corresponding processing on existing parts according to the evaluation results of S6.

10. The evaluation method of the component design and quality evaluation system based on infinite life according to claim 9, characterized in that: S7: According to the evaluation results of S6, the existing parts are processed accordingly, as follows: If the evaluation result is usable, if the parts appear normal, they will continue to be used; if the parts appear abnormal, their maintainability will be evaluated. If they are maintainable, they will be repaired or remanufactured; if they are not maintainable, they will be scrapped; If the evaluation result is unusable, it is directly scrapped and data is collected through the information collection module and recorded in the comprehensive database.

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