Method and System for Rapid Replacement and Positioning of High-Precision Mechanical Parts

Abstract

The present invention relates to the field of automatic control, and discloses a method and system for rapid replacement and positioning of high-precision mechanical parts, including: First, obtain the assembly station of the target mechanical part, collect the real-time assembly spectrum, analyze the assembly deviation curve under different part types based on this, and construct a spatial positioning network. Secondly, analyze the positioning response characteristics of the network, extract the accuracy error parameters and the repeated positioning threshold, and calculate the positioning matching degree during rapid replacement based on this. Then, based on the positioning matching degree, simulate the position deviation map under dynamic impact conditions, construct an adaptive positioning rule, integrate it with the rapid locking mechanism, generate a positioning replacement strategy, extract parameters to calculate the replacement efficiency attenuation value. Finally, dynamically adjust the replacement action process according to the attenuation value, evaluate the process processing status and the efficiency processing dimension, and formulate the final replacement positioning plan. The present invention can improve the assembly efficiency of mechanical parts.

Description

Technical Field

[0001] The present invention relates to a method and system for rapid replacement and positioning of high-precision mechanical parts, belonging to the field of automation control. Background Art

[0002] In modern manufacturing, high-precision mechanical parts are widely used in many key fields such as aerospace, automobile manufacturing, and precision electronics. Their performance directly affects product quality and production efficiency. With the continuous upgrading of production processes and the increasingly stringent requirements for product accuracy in the market, the high-precision characteristics of mechanical parts have become increasingly important.

[0003] However, existing high-precision mechanical parts usually have significant defects in the replacement and positioning links. In terms of rapid replacement, traditional replacement processes often involve cumbersome disassembly and installation steps, which require professional technicians to spend a lot of time and effort to operate, resulting in too long equipment downtime, greatly affecting the production schedule and causing unnecessary economic losses. Moreover, during frequent replacements, due to the lack of efficient replacement tools and processes, it is extremely easy to cause accidental damage to the high-precision parts themselves and other parts of the equipment, reducing the service life of the parts and increasing maintenance costs. Therefore, a method for rapid replacement and positioning of high-precision mechanical parts is needed to improve the assembly efficiency of mechanical parts. Summary of the Invention

[0004] The present invention provides a method and system for rapid replacement and positioning of high-precision mechanical parts, and its main purpose is to improve the assembly efficiency of mechanical parts.

[0005] To achieve the above object, a method for rapid replacement and positioning of high-precision mechanical parts provided by the present invention includes:

[0006] Obtain the assembly station corresponding to the target mechanical part, and collect the real-time assembly spectrum corresponding to the assembly station. Based on the real-time assembly spectrum, analyze the assembly deviation curve of the assembly station under different part types, and construct a spatial positioning network corresponding to the target mechanical part according to the assembly deviation curve;

[0007] Analyze the positioning response characteristics in the spatial positioning network, extract the precision error parameter and the repeated positioning threshold in the positioning response characteristics, and calculate the positioning matching degree of the target mechanical part during rapid replacement based on the precision error parameter and the repeated positioning threshold;

[0008] Based on the positioning matching degree, simulate the position deviation map of the assembly station under dynamic impact conditions, and construct an adaptive positioning rule corresponding to the target mechanical part according to the position deviation map;

[0009] Integrate the adaptive positioning rules with the preset fast locking mechanism to generate a positioning replacement strategy for the target mechanical part, extract the detailed replacement parameters in the positioning replacement strategy, and based on the detailed replacement parameters, calculate the replacement efficiency decay value corresponding to the target mechanical part;

[0010] Based on the replacement efficiency decay value, dynamically adjust the replacement action process corresponding to the target mechanical part. Based on the replacement action process, evaluate the process processing status corresponding to the target mechanical part, analyze the efficiency processing dimension corresponding to the process processing status, and based on the efficiency processing dimension, formulate a replacement positioning plan for the target mechanical part.

[0011] Optionally, constructing the spatial positioning network corresponding to the target mechanical part according to the assembly deviation curve includes:

[0012] Summarize the assembly deviation parameters of each item in the assembly deviation curve to obtain a deviation parameter summary set;

[0013] Based on the deviation parameter summary set, set the network construction conditions corresponding to the target mechanical part;

[0014] Perform parsing processing on the network construction conditions to obtain network parsing data;

[0015] Analyze the spatial positioning law corresponding to the network parsing data;

[0016] Based on the spatial positioning law, construct the spatial positioning network corresponding to the target mechanical part.

[0017] Optionally, analyzing the positioning response characteristics in the spatial positioning network includes:

[0018] Collect the network connection nodes corresponding to the spatial positioning network;

[0019] Trace the node response records corresponding to the network connection nodes;

[0020] Extract the time series parameters in the node response records;

[0021] According to the time series parameters, sort out the response changes of the spatial positioning network at different time points;

[0022] Based on the response changes, analyze the positioning response characteristics in the spatial positioning network.

[0023] Optionally, calculating the positioning matching degree of the target mechanical part during rapid replacement based on the precision error parameter and the repeated positioning threshold includes:

[0024] Calculate the positioning matching degree of the target mechanical fitting during quick replacement using the following formula:

[0025] ;

[0026] where, represents the positioning matching degree of the target mechanical fitting during quick replacement, represents the number of sampling points corresponding to the precision error parameter and the repeat positioning threshold, represents the index of the number of sampling points, represents the precision error parameter corresponding to the th sampling point, represents the repeat positioning threshold corresponding to the th sampling point, represents the weight factor corresponding to the th sampling point, represents the calibration coefficient corresponding to the th sampling point.

[0027] Optionally, based on the positioning matching degree, simulate the position deviation map of the assembly station under dynamic impact conditions, including:

[0028] Compare the deviation characteristics between the positioning matching degree and the preset dynamic impact standard;

[0029] Perform dynamic decomposition on the deviation characteristics to obtain dynamic decomposition data;

[0030] Extract the key dynamic points from the dynamic decomposition data;

[0031] Based on the key dynamic points, determine the position deviation range of the assembly station under dynamic impact conditions;

[0032] Based on the position deviation range, simulate the position deviation map of the assembly station under dynamic impact conditions.

[0033] Optionally, construct the adaptive positioning rule corresponding to the target mechanical fitting according to the position deviation map, including:

[0034] Determine the key deviation area corresponding to the position deviation map;

[0035] Based on the key deviation area, analyze the positioning adjustment requirements corresponding to the target mechanical fitting;

[0036] Regularize the positioning adjustment requirements to obtain regularized adjustment data;

[0037] Extract the core adjustment parameters from the regularized adjustment data;

[0038] Based on the core adjustment parameters, construct the adaptive positioning rules corresponding to the target mechanical fitting.

[0039] Optionally, integrating the adaptive positioning rules with a preset quick locking mechanism to generate a positioning and replacement strategy corresponding to the target mechanical fitting includes:

[0040] Based on the adaptive positioning rules, construct a dynamic positioning framework corresponding to the target mechanical fitting;

[0041] Collect the operation status data of the target mechanical fitting in real time;

[0042] Based on the dynamic positioning framework, perform matching analysis on the operation status data to obtain a dynamic matching result;

[0043] According to the dynamic matching result and the preset quick locking mechanism, determine the locking trigger condition corresponding to the target mechanical fitting;

[0044] According to the locking trigger condition, construct a positioning and replacement process corresponding to the target mechanical fitting;

[0045] Based on the positioning and replacement process, generate a positioning and replacement strategy corresponding to the target mechanical fitting.

[0046] Optionally, calculating the replacement efficiency decay value corresponding to the target mechanical fitting based on the detailed replacement parameters includes:

[0047] Use the following formula to calculate the replacement efficiency decay value corresponding to the target mechanical fitting:

[0048] ;

[0049] Where represents the replacement efficiency decay value corresponding to the target mechanical fitting, represents the total number of the detailed replacement parameters, represents the quantity index corresponding to the detailed replacement parameter, represents "the th" represents "the th" and respectively represent the start time and end time corresponding to the replacement process, represents "at time "

[0050] Optionally, dynamically adjusting the replacement action process corresponding to the target mechanical fitting based on the replacement efficiency decay value includes:

[0051] Divide the efficiency decay interval corresponding to the replacement efficiency decay value;

[0052] Extract the key decay factors corresponding to the efficiency decay interval;

[0053] Analyze the influence degree corresponding to the key decay factors;

[0054] Based on the influence degree, determine the adjustment priority corresponding to the target mechanical part;

[0055] Based on the adjustment priority, dynamically adjust the replacement action process corresponding to the target mechanical part.

[0056] To solve the above problems, the present invention also provides a rapid replacement and positioning system for high-precision mechanical parts, and the system includes:

[0057] A network construction module, configured to obtain the assembly station corresponding to the target mechanical part, collect the real-time assembly spectrum corresponding to the assembly station, based on the real-time assembly spectrum, analyze the assembly deviation curve of the assembly station under different part types, and construct a spatial positioning network corresponding to the target mechanical part according to the assembly deviation curve;

[0058] A matching degree calculation module, configured to analyze the positioning response characteristics in the spatial positioning network, extract the precision error parameter and the repeated positioning threshold in the positioning response characteristics, and calculate the positioning matching degree of the target mechanical part during rapid replacement based on the precision error parameter and the repeated positioning threshold;

[0059] A rule construction module, configured to simulate the position deviation map of the assembly station under dynamic impact conditions based on the positioning matching degree, and construct an adaptive positioning rule corresponding to the target mechanical part according to the position deviation map;

[0060] An attenuation value calculation module, configured to integrate the adaptive positioning rule and a preset rapid locking mechanism to generate a positioning and replacement strategy corresponding to the target mechanical part, extract the detailed replacement parameters in the positioning and replacement strategy, and calculate the replacement efficiency decay value corresponding to the target mechanical part based on the detailed replacement parameters;

[0061] A solution formulation module, configured to dynamically adjust the replacement action process corresponding to the target mechanical part based on the replacement efficiency decay value, evaluate the process processing status corresponding to the replacement action process based on the replacement action process, analyze the efficiency processing dimension corresponding to the process processing status, and formulate a replacement and positioning solution corresponding to the target mechanical part based on the efficiency processing dimension.

[0062] Compared with the problems described in the background art, the present invention can accurately grasp the real-time state of the fitting assembly by obtaining the assembly station corresponding to the target mechanical fitting and collecting the real-time assembly spectrum corresponding to the assembly station, providing key data support for subsequent analysis of the assembly deviation curve, thereby greatly improving the accuracy and stability of the assembly. By analyzing the positioning response characteristics in the spatial positioning network, the present invention can effectively identify potential positioning deviation hazards, thereby improving the assembly quality and reducing the output of defective products. At the same time, based on these characteristics, the assembly process can also be optimized to improve the operation efficiency of the equipment. Further, based on the positioning matching degree, the present invention simulates the position deviation map of the assembly station under dynamic impact conditions, which can intuitively present the position change of the station under complex conditions. Through this map, potential assembly error risks can be identified in advance, and the assembly process can be adjusted in time to ensure the product quality. Further, by integrating the adaptive positioning rule and the preset quick locking mechanism, the present invention generates a positioning replacement strategy corresponding to the target mechanical fitting, which can greatly improve the fitting replacement efficiency. The adaptive positioning rule dynamically adjusts the positioning according to the actual working conditions to ensure accurate positioning after replacement; the quick locking mechanism quickly fixes the fitting, reducing the operation time. Finally, based on the replacement efficiency decay value, the present invention dynamically adjusts the replacement action process corresponding to the target mechanical fitting, can timely respond to the problem of efficiency decline, and by accurately identifying the links affecting the efficiency and optimizing the operation steps pertinently, can effectively shorten the replacement time and improve the replacement efficiency. Therefore, the quick replacement and positioning method and system for high-precision mechanical fittings provided by the embodiments of the present invention can improve the assembly efficiency of mechanical fittings. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 FIG. is a schematic flow chart of a method for quickly replacing and positioning high-precision mechanical fittings provided by an embodiment of the present invention;

[0064] Figure 2 FIG. is a schematic module diagram of a system for realizing the quick replacement and positioning of high-precision mechanical fittings provided by an embodiment of the present invention.

[0065] The realization, functional features and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0066] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0067] The embodiment of the present application provides a method for rapid replacement and positioning of high-precision mechanical parts. The execution subject of the method for rapid replacement and positioning of high-precision mechanical parts includes, but is not limited to, at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for rapid replacement and positioning of high-precision mechanical parts can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to: a single server, a server cluster, a cloud server, or a cloud server cluster, etc.

[0068] Embodiment 1:

[0069] Refer to Figure 1 As shown, it is a schematic flowchart of the method for rapid replacement and positioning of high-precision mechanical parts provided by an embodiment of the present invention. In this embodiment, the method for rapid replacement and positioning of high-precision mechanical parts includes:

[0070] S1. Obtain the assembly station corresponding to the target mechanical part, collect the real-time assembly spectrum corresponding to the assembly station, based on the real-time assembly spectrum, analyze the assembly deviation curve of the assembly station under different part types, and construct a spatial positioning network corresponding to the target mechanical part according to the assembly deviation curve.

[0071] By obtaining the assembly station corresponding to the target mechanical part and collecting the real-time assembly spectrum corresponding to the assembly station, the present invention can accurately grasp the real-time state of part assembly, provide key data support for subsequent analysis of the assembly deviation curve, and thus greatly improve the accuracy and stability of assembly.

[0072] Among them, the target mechanical part refers to a specific mechanical component selected as the object of specific assembly, replacement, or maintenance operations in the entire mechanical assembly process. For example, in the assembly of an automotive engine, pistons, crankshafts, etc. can all be target mechanical parts at a certain stage; the assembly station refers to the working position where specific assembly tasks are completed during the mechanical assembly process. Taking an electronic product assembly line as an example, there are dedicated stations for soldering electronic components, installing the housing, etc., and these specific positions are assembly stations; the real-time assembly spectrum refers to the spectrum data collected through specific sensors or monitoring devices during the assembly process, which reflects the changes in the assembly state over time. It presents various dynamic information during the assembly process in the form of a spectrum, such as vibration frequency, force change frequency, etc. Optionally, obtaining the assembly station corresponding to the target mechanical part can be achieved through a station recognition algorithm. For example, by using an image recognition algorithm (such as YOLO, Faster R-CNN, etc.) to scan the assembly line in real time, identifying and locating the assembly station corresponding to the target mechanical part, and finally obtaining the assembly station; collecting the real-time assembly spectrum corresponding to the assembly station can be achieved through a spectrum collection tool. For example, using a spectrum analyzer (such as Keysight N9000B, Rohde & Schwarz FSW, etc.) to collect and analyze signals such as vibration and noise at the assembly station in real time, and finally obtaining the real-time assembly spectrum.

[0073] Furthermore, based on the real-time assembly spectrum, the present invention analyzes the assembly deviation curves of the assembly station under different part types, which can intuitively display the abnormal fluctuations during the assembly process, accurately locate the links and causes of assembly deviations, helps to timely adjust the assembly process parameters, effectively reduce the defective rate, and improve the overall quality of the product.

[0074] Among them, the assembly deviation curve refers to a graphical representation that intuitively reflects the degree of deviation between the actual state and the ideal state during the assembly process. It uses time or the progress of the assembly process as the horizontal axis and the values of key assembly parameters (such as dimensional deviation, position offset, angular error, force deviation, etc.) as the vertical axis. The fluctuations of the curve can clearly show the abnormal fluctuations during the assembly process. If the curve deviates from the ideal baseline, it indicates the existence of an assembly deviation. The magnitude and direction of the deviation can accurately locate the links and causes of the assembly deviation, helping to analyze and determine which assembly step and which part's assembly have problems. Optionally, analyzing the assembly deviation curves of the assembly station under different part types can be achieved through a data analysis algorithm. For example, using a time series analysis algorithm (such as ARIMA, Prophet, etc.) to model the real-time assembly spectrum data, identifying the assembly deviation trends under different part types, and finally obtaining the assembly deviation curves.

[0075] Furthermore, according to the assembly deviation curve, the present invention constructs a spatial positioning network corresponding to the target mechanical fitting, which can greatly improve the positioning accuracy during fitting, reduce the fitting errors caused by inaccurate positioning, and can quickly and accurately determine the position of the fitting during the subsequent fitting process, significantly shortening the fitting time and improving the fitting efficiency.

[0076] Among them, the spatial positioning network refers to a network structure constructed according to the spatial positioning law for determining the precise position of the target mechanical fitting during the fitting process. It presents the spatial relationship and positioning information between the fittings in a graphical manner and is usually composed of nodes and edges. The nodes represent mechanical fittings or fitting positions, and the edges represent the connection relationships, position constraints, etc. between the fittings.

[0077] As an embodiment of the present invention, constructing the spatial positioning network corresponding to the target mechanical fitting according to the assembly deviation curve includes: summarizing the assembly deviation parameters of each item in the assembly deviation curve to obtain a deviation parameter summary set; setting network construction conditions corresponding to the target mechanical fitting based on the deviation parameter summary set; performing parsing processing on the network construction conditions to obtain network parsing data; analyzing the spatial positioning law corresponding to the network parsing data; and constructing the spatial positioning network corresponding to the target mechanical fitting based on the spatial positioning law.

[0078] Among them, the deviation parameter summary set refers to a set formed by collecting and organizing the assembly deviation parameters of each item in the assembly deviation curve. For example, during the fitting of automobile parts, the deviation parameter summary set includes the dimensional deviation values in the length, width, and height directions during the fitting of each part, as well as the offset values of the installation position of the part from the designed position in the plane coordinates and spatial coordinates, etc.; the network construction conditions refer to a series of constraint conditions and rules for constructing the spatial positioning network set based on the deviation parameter summary set, which clarify the various requirements that need to be met for constructing the spatial positioning network, including but not limited to the requirements for positioning accuracy, the position relationship constraints between different fittings, the influence of the fitting sequence on the spatial layout, etc.; the network parsing data refers to the data result obtained by performing parsing processing on the network construction conditions. By using specific algorithms and analysis tools, the network construction conditions are transformed into a specific data form that can be used for analyzing and constructing the spatial positioning network. For example, through the parsing of the network construction conditions, the precise coordinate values of each fitting point in the three-dimensional space, as well as the connection relationships and distance constraint values between the fitting points, etc. are obtained; the spatial positioning law refers to the general law of the positioning of the target mechanical fitting in space analyzed from the network parsing data, which reveals the internal logic and rules for determining the position of the fitting during the fitting process, such as the position change trend of the fitting at different fitting stages, the geometric laws followed by the relative position relationships between the fittings, etc.

[0079] Further, the assembly deviation parameters for summarizing each item in the assembly deviation curve can be achieved through a data aggregation tool. For example, use the Pandas library to statistically summarize each parameter in the assembly deviation curve, and finally obtain a summary set of deviation parameters. The setting of the network construction conditions corresponding to the target mechanical part can be achieved through a rule engine. For example, use the Drools rule engine to set the network construction conditions according to the summary set of deviation parameters, and finally obtain the network construction conditions. The parsing process of the network construction conditions can be achieved through natural language processing algorithms. For example, use the BERT or GPT model to perform semantic parsing on the construction conditions, and finally obtain network parsing data. The analysis of the spatial positioning rules corresponding to the network parsing data can be achieved through spatial data analysis algorithms. For example, use Geopandas or ArcGIS to perform spatial analysis on the network parsing data, extract the positioning rules, and finally obtain the spatial positioning rules. The construction of the spatial positioning network corresponding to the target mechanical part can be achieved through a network modeling tool. For example, use NetworkX or Gephi to construct a spatial positioning network according to the spatial positioning rules, and finally obtain the spatial positioning network.

[0080] S2. Analyze the positioning response characteristics in the spatial positioning network, extract the precision error parameter and the repeated positioning threshold in the positioning response characteristics, and calculate the positioning matching degree of the target mechanical part during rapid replacement based on the precision error parameter and the repeated positioning threshold.

[0081] By analyzing the positioning response characteristics in the spatial positioning network, the present invention can effectively identify potential positioning deviation hazards, thereby improving the assembly quality, reducing the output of defective products. At the same time, based on these characteristics, the assembly process can also be optimized to improve the operation efficiency of the equipment.

[0082] Among them, the positioning response characteristic refers to the inherent characteristic of the spatial positioning network in the positioning operation obtained by deeply analyzing the response changes. For example, if the positioning error of the part by the spatial positioning network at different time points is always controlled within a very small range and the response time is stable, it indicates that the network has high-precision and high-stability positioning response characteristics.

[0083] As an embodiment of the present invention, the analysis of the positioning response characteristics in the spatial positioning network includes: collecting the network connection nodes corresponding to the spatial positioning network; tracing the node response records corresponding to the network connection nodes; extracting the time series parameters in the node response records; sorting out the response changes of the spatial positioning network at different time points according to the time series parameters; and analyzing the positioning response characteristics in the spatial positioning network based on the response changes.

[0084] Among them, the network connection node refers to the basic unit that constitutes the entire network structure in the spatial positioning network. For example, in the spatial positioning network of a complex mechanical assembly workshop, each assembly station, transfer equipment docking point, and even the high-precision mechanical parts themselves can be regarded as network connection nodes; the node response record refers to the record of a series of response information generated by each network connection node during the assembly process. For example, when a mechanical part reaches a certain assembly station (i.e., the corresponding network connection node), the signals feedback, operation status changes, etc. generated by the equipment at this station during operations such as detecting, grasping, and installing the part will be recorded as the response record of this node; the time series parameter refers to the set of time-related parameters extracted from the node response record, which are mainly used to describe the characteristics of the node response in the time dimension, such as the moment when the response occurs, the duration of the response, etc.; the response change refers to the dynamic change situation presented by the response status of each node in the spatial positioning network at different time points based on the time series parameters. For example, during the assembly process, as the assembly task progresses, the response time of a certain assembly station node for part positioning will gradually shorten, or the response accuracy fluctuates in different batches of assembly, which are all specific manifestations of the response change.

[0085] Furthermore, the acquisition of the network connection nodes corresponding to the spatial positioning network can be achieved through network topology analysis tools. For example, the NetworkX library can be used to perform topology analysis on the spatial positioning network to extract network connection nodes, and finally obtain the network connection nodes; the tracing of the node response records corresponding to the network connection nodes can be achieved through log analysis tools. For example, the ELK Stack (Elasticsearch, Logstash, Kibana) can be used to collect and trace the node response records, and finally obtain the node response records; the extraction of the time series parameters from the node response records can be achieved through time series analysis algorithms. For example, the Prophet or ARIMA model can be used to extract the time series parameters from the node response records, and finally obtain the time series parameters; the sorting out of the response changes of the spatial positioning network at different time points can be achieved through data visualization tools. For example, Matplotlib or Tableau can be used to perform visual analysis on the time series parameters to sort out the response changes, and finally obtain the response changes; the analysis of the positioning response characteristics in the spatial positioning network can be achieved through machine learning algorithms. For example, the random forest or support vector machine can be used to perform feature analysis on the response changes, and finally obtain the positioning response characteristics.

[0086] By extracting the precision error parameter and the repeat positioning threshold in the positioning response characteristics, the present invention can accurately quantify the positioning performance of the spatial positioning network, and can intuitively grasp the actual deviation during the assembly process, so as to timely adjust the assembly process and ensure that the assembly accuracy of the parts meets the standards.

[0087] Among them, the precision error parameter refers to the parameter used to quantify the deviation degree between the actual positioning position and the theoretical target position. Taking a machining center as an example, when the tool is positioned at the specified coordinate position for part machining, the precision error parameter includes the differences between the actual arrival positions of the tool in the X, Y, and Z axis directions and the programmed set positions. These differences usually result from the manufacturing accuracy of the equipment, assembly errors, the clearance of the transmission system, and environmental factors such as temperature changes. The repeat positioning threshold refers to the parameter used to measure the consistency of the positioning position during multiple repeated positioning operations of the equipment. Assuming that on an automated assembly line, the robotic arm needs to repeatedly pick up parts of the same specification and place them at a fixed assembly position, the repeat positioning threshold is the maximum allowable value of these fluctuation ranges during a specified number of repeated positioning operations. For example, after multiple tests, during the repeated positioning operation of the robotic arm, its positioning position fluctuates within the range of ±0.05 mm, then this ±0.05 mm is the repeat positioning threshold of the equipment under this working condition. Optionally, the extraction of the precision error parameter and the repeat positioning threshold in the positioning response characteristics can be achieved through a data analysis tool. For example, using the Pandas library to perform statistical analysis on the positioning response characteristics, extracting the precision error parameter and the repeat positioning threshold, and finally obtaining the precision error parameter and the repeat positioning threshold.

[0088] Furthermore, based on the precision error parameter and the repeat positioning threshold, the present invention calculates the positioning matching degree of the target mechanical part during quick replacement, which can predict in advance the fitting degree of the part positioning during the replacement process. With this matching degree, the debugging time during part installation can be effectively reduced, and the assembly efficiency can be greatly improved.

[0089] Among them, the positioning matching degree is a quantitative index used to measure the fitting degree between the actual positioning situation and the ideal positioning situation of the target mechanical part during quick replacement. The higher the positioning matching degree, the more accurate the positioning of the part after quick replacement, and the better it can meet the assembly or working requirements; conversely, it indicates that the positioning deviation is large, and adjustment or optimization is required.

[0090] As an embodiment of the present invention, the calculation of the positioning matching degree of the target mechanical part during quick replacement based on the precision error parameter and the repeat positioning threshold includes:

[0091] Use the following formula to calculate the positioning matching degree of the target mechanical part during quick replacement:

[0092] ;

[0093] Among them, represents the positioning matching degree of the target mechanical part during rapid replacement, represents the number of sampling points corresponding to the precision error parameter and the repeat positioning threshold, represents the number index of sampling points, represents the precision error parameter corresponding to the th sampling point, represents the repeat positioning threshold corresponding to the th sampling point, represents the weight factor corresponding to the th sampling point, represents the calibration coefficient corresponding to the

[0094] Specifically, the sampling points refer to specific positions or time points selected during the measurement of the precision error parameter and the repeat positioning threshold. By collecting data at these points, the precision error parameter and the repeat positioning threshold are obtained, and then the positioning matching degree is calculated. Different sampling points correspond to different installation positions, motion stages, etc. of the mechanical part, which can more comprehensively reflect its positioning characteristics; the weight factor refers to the importance of each sampling point in calculating the positioning matching degree. For example, for the sampling points corresponding to key assembly positions or links with higher precision requirements, a higher weight can be assigned to make the positioning situation of these points have a greater impact on the final matching degree; the calibration coefficient refers to the correction and calibration of the data of each sampling point, and the calibration coefficient can adjust these deviations to make the calculation result more in line with the actual positioning matching situation.

[0095] S3. Based on the positioning matching degree, simulate the position deviation map of the assembly station under dynamic impact conditions, and construct an adaptive positioning rule corresponding to the target mechanical part according to the position deviation map.

[0096] Based on the positioning matching degree, the present invention simulates the position deviation map of the assembly station under dynamic impact conditions, which can intuitively present the position change of the station under complex conditions. Through this map, potential assembly error risks can be identified in advance, and the assembly process can be adjusted in time to ensure product quality.

[0097] Among them, the dynamic impact condition refers to various dynamic and impactful external working environments that the assembly station or mechanical parts, etc. receive during the mechanical assembly process. These actions usually have the characteristics of instantaneity and high intensity. For example, during the rapid grasping or placing of parts by a robotic arm on an automated production line, the inertial impact force generated, or sudden vibrations and collisions encountered during the operation of the equipment; the position deviation map refers to a graphical display of the position deviation of the assembly station under dynamic impact conditions. Usually, time or other relevant factors are used as the horizontal axis, and the numerical values of the position deviation are used as the vertical axis. Information such as the position deviation range and key dynamic points are marked and presented in the graph.

[0098] As an embodiment of the present invention, simulating the position deviation map of the assembly station under dynamic impact conditions based on the positioning matching degree includes: comparing the deviation characteristics between the positioning matching degree and a preset dynamic impact standard; dynamically decomposing the deviation characteristics to obtain dynamically decomposed data; extracting key dynamic points from the dynamically decomposed data; determining the position deviation range of the assembly station under dynamic impact conditions based on the key dynamic points; and simulating the position deviation map of the assembly station under dynamic impact conditions based on the position deviation range.

[0099] Among them, the deviation characteristics refer to the difference manifestations between the positioning matching degree and the preset dynamic impact standard, including aspects such as the magnitude, direction, and change trend of the deviation. For example, the amplitude by which the positioning matching degree is lower than the standard value, or characteristics such as whether the positioning matching degree continuously deviates or intermittently deviates during dynamic impact. This information helps to understand the gap between the current assembly station and the ideal state under dynamic impact conditions; the dynamically decomposed data refers to the data obtained by deeply analyzing and disassembling the deviation characteristics. For example, decomposing the deviation characteristics according to different stages of dynamic impact to obtain specific deviation values, change rates, etc. of each stage; the key dynamic points refer to the time points or state points of great significance extracted from the dynamically decomposed data. These points are the points where the deviation reaches the maximum or minimum value, the points where the change trend of the deviation turns, or special working condition points that have a significant impact on the position deviation of the assembly station; the position deviation range refers to the boundary interval of the position deviation that the assembly station is prone to under dynamic impact conditions determined based on the key dynamic points. It describes the maximum and minimum degrees to which the position of the assembly station can deviate from the ideal position. Through this range, the fluctuation degree of the position of the assembly station under dynamic impact can be intuitively understood.

[0100] Further, the deviation characteristics between the positioning matching degree and the preset dynamic impact standard can be realized through a difference analysis tool. For example, the NumPy library is used to calculate the difference between the positioning matching degree and the dynamic impact standard, extract the deviation characteristics, and finally obtain the deviation characteristics. The dynamic decomposition of the deviation characteristics can be realized through a signal processing algorithm. For example, Fourier transform or wavelet transform is used to perform frequency-domain decomposition on the deviation characteristics, and finally obtain the dynamically decomposed data. The extraction of the key dynamic points in the dynamically decomposed data can be realized through a peak detection algorithm. For example, the find_peaks function in the Scipy library is used to extract the key dynamic points. The determination of the position deviation range of the assembly station under dynamic impact conditions can be realized through a statistical analysis tool. For example, the Pandas library is used to perform statistical analysis on the key dynamic points, determine the deviation range, and finally obtain the position deviation range. The simulation of the position deviation map of the assembly station under dynamic impact conditions can be realized through a data visualization tool. For example, Matplotlib or Seaborn is used to visually simulate the position deviation range, and finally obtain the position deviation map.

[0101] Based on the position deviation map, the present invention constructs an adaptive positioning rule corresponding to the target mechanical part, which can accurately respond to dynamic impact conditions, automatically adjust the part positioning according to the actual deviation, improve the assembly accuracy, and reduce the defective rate.

[0102] Among them, the adaptive positioning rule refers to a set of rule systems constructed according to the core adjustment parameters, which can enable the target mechanical part to automatically perform positioning adjustment under different working conditions. For example, when it is monitored that the position deviation of the mechanical part falls into a certain specific key deviation area, the adaptive positioning rule will automatically control the relevant equipment to adjust the part in the corresponding direction and amplitude according to the core adjustment parameters to achieve accurate positioning.

[0103] As an embodiment of the present invention, the constructing of the adaptive positioning rule corresponding to the target mechanical part according to the position deviation map includes: determining the key deviation area corresponding to the position deviation map; analyzing the positioning adjustment requirements corresponding to the target mechanical part based on the key deviation area; regularizing the positioning adjustment requirements to obtain regularized adjustment data; extracting the core adjustment parameters from the regularized adjustment data; and constructing the adaptive positioning rule corresponding to the target mechanical part based on the core adjustment parameters.

[0104] Among them, the critical deviation area refers to the deviation concentration area in the position deviation map that has a significant impact on the normal assembly or use performance of the target mechanical parts. For example, in the map, it shows that at a certain assembly stage, the position deviation suddenly increases sharply, and this deviation has a direct impact on the installation accuracy of subsequent parts. This area where the deviation increases sharply is the critical deviation area; the positioning adjustment requirement refers to the adjustment content analyzed based on the critical deviation area to restore the target mechanical parts to the correct positioning state or meet the assembly accuracy requirements. For example, if the critical deviation area shows that the part has a too large rightward offset in the horizontal direction, then the positioning adjustment requirement is to adjust the part to the left by a certain distance, and at the same time, fine-tune the relevant angle parameters to ensure accurate overall positioning; the regularized adjustment data refers to the data form obtained by systematically organizing and standardizing the positioning adjustment requirements. For example, the positioning adjustment requirements corresponding to different critical deviation areas are recorded in a unified format, including the adjustment conditions (such as when the deviation reaches what degree to make the adjustment), the specific operations of the adjustment (such as how many degrees the motor rotates to drive the part to move), etc.; the core adjustment parameters refer to the key parameters extracted from the regularized adjustment data that play a decisive role in constructing the adaptive positioning rules. For example, in the regularized adjustment data, the part movement distance parameters, angle adjustment parameters, adjustment speed parameters, etc. involved, among which those parameters that have the greatest impact on the positioning accuracy and play a leading role in the adjustment process are the core adjustment parameters.

[0105] Furthermore, the determination of the critical deviation area corresponding to the position deviation map can be achieved through image recognition algorithms. For example: using edge detection or region segmentation techniques in the OpenCV library to extract the critical deviation area, and finally obtaining the critical deviation area; the analysis of the positioning adjustment requirements corresponding to the target mechanical parts can be achieved through requirement analysis tools. For example: using the Pandas library to perform data analysis on the critical deviation area to determine the positioning adjustment requirements, and finally obtaining the positioning adjustment requirements; the regularization process of the positioning adjustment requirements can be achieved through a rule engine. For example: using the Drools rule engine to convert the positioning adjustment requirements into regularized adjustment data, and finally obtaining the regularized adjustment data; the extraction of the core adjustment parameters from the regularized adjustment data can be achieved through parameter extraction algorithms. For example: using the feature selection method in the Scikit-learn library to extract the core adjustment parameters, and finally obtaining the core adjustment parameters; the construction of the adaptive positioning rules corresponding to the target mechanical parts can be achieved through machine learning algorithms. For example: using TensorFlow or PyTorch to construct an adaptive positioning rule model based on the core adjustment parameters, and finally obtaining the adaptive positioning rules.

[0106] S4. Integrate the adaptive positioning rule with the preset fast locking mechanism to generate a positioning and replacement strategy for the target mechanical part, extract the detailed replacement parameters in the positioning and replacement strategy, and calculate the replacement efficiency decay value corresponding to the target mechanical part based on the detailed replacement parameters.

[0107] By integrating the adaptive positioning rule with the preset fast locking mechanism, the present invention generates a positioning and replacement strategy for the target mechanical part, which can greatly improve the efficiency of part replacement. The adaptive positioning rule dynamically adjusts the positioning according to the actual working conditions to ensure accurate positioning after replacement; the fast locking mechanism quickly fixes the part, reducing the operation time.

[0108] Among them, the preset fast locking mechanism refers to a set of efficient part fixing solutions set in advance in the high-precision mechanical part replacement scenario. Through specific mechanical structures, magnetic adsorption or hydraulic clamping, etc., after the part reaches the assembly station, it can quickly and accurately fix it in the target position, reducing the positioning deviation caused by the time-consuming or unstable fixing process, and providing guarantee for the rapid progress of the subsequent assembly process; the positioning and replacement strategy refers to a complete set of solutions formed by integrating the dynamic positioning framework, operating state data, dynamic matching results, locking trigger conditions and positioning and replacement processes, which clarifies how to achieve the efficient and accurate replacement of the target mechanical part through the coordinated operation of the adaptive positioning rule and the fast locking mechanism in different situations, covering the decision-making basis, operation methods and emergency handling measures in the whole replacement process.

[0109] As an embodiment of the present invention, the integration of the adaptive positioning rule with the preset fast locking mechanism to generate a positioning and replacement strategy for the target mechanical part includes: constructing a dynamic positioning framework corresponding to the target mechanical part based on the adaptive positioning rule; collecting the operating state data of the target mechanical part in real time; performing matching analysis on the operating state data based on the dynamic positioning framework to obtain a dynamic matching result; determining the locking trigger condition corresponding to the target mechanical part according to the dynamic matching result and the preset fast locking mechanism; constructing a positioning and replacement process corresponding to the target mechanical part according to the locking trigger condition; and generating a positioning and replacement strategy corresponding to the target mechanical part based on the positioning and replacement process.

[0110] Among them, the dynamic positioning framework refers to a logical architecture built based on adaptive positioning rules and used to guide the positioning adjustment of target mechanical parts under different working conditions. It defines how mechanical parts should perform positioning adjustment based on deviation information under various dynamic change situations, covering key elements such as adjustment principles, methods, and processes; the operating state data refers to the information set reflecting the current working conditions of target mechanical parts collected in real time through various sensors. These data include physical parameters such as the position, speed, acceleration, and vibration amplitude of the parts, as well as the operating parameters of related equipment, such as motor speed and torque; the dynamic matching result refers to the result obtained by comparing and analyzing the operating state data with the dynamic positioning framework, which indicates the degree of fit between the actual operating state of the current mechanical part and the ideal state set by the dynamic positioning framework, and may include information such as position deviation values, adjustment direction suggestions, and required adjustment amplitudes; the locking trigger condition refers to the precondition for starting the quick locking operation determined based on the dynamic matching result and a preset quick locking mechanism. When the dynamic matching result meets specific deviation ranges, change trends, or other set criteria, the quick locking mechanism is triggered. For example, when the position deviation of the mechanical part exceeds a certain threshold within a short time, or its speed change reaches a certain degree, the quick locking mechanism will be triggered; the positioning replacement process refers to a series of specific operation steps from determining the need to replace parts to completing the positioning and installation of new parts formulated according to the locking trigger condition. This process includes the disassembly of old parts, the handling and positioning of new parts, the quick locking operation, and fine-tuning based on adaptive positioning rules.

[0111] Furthermore, the construction of the dynamic positioning framework corresponding to the target mechanical parts can be implemented by a machine learning algorithm, such as: using TensorFlow or PyTorch to build a dynamic positioning model based on historical data, and finally obtaining a dynamic positioning framework; the real-time collection of the operating status data of the target mechanical parts can be implemented by a data collection tool, such as: using Kafka or Fluentd to collect sensor data in real time, and finally obtaining the operating status data; the matching analysis of the operating status data can be implemented by a data analysis algorithm, such as: using the clustering or classification algorithm in Scikit-learn to match and analyze the operating status data, and finally obtaining a dynamic matching result; the determination of the locking trigger condition corresponding to the target mechanical parts can be implemented by a rule engine, such as: using the Drools rule engine to generate the locking trigger condition according to the dynamic matching result, and finally obtaining the locking trigger condition; the construction of the positioning replacement process corresponding to the target mechanical parts can be implemented by a process modeling tool, such as: using BPMN or UML to process-design the locking trigger condition, and finally obtaining the positioning replacement process; the generation of the positioning replacement strategy corresponding to the target mechanical parts can be implemented by a strategy optimization algorithm, such as: using a genetic algorithm or a particle swarm optimization algorithm to optimize the positioning replacement process, and finally obtaining the positioning replacement strategy.

[0112] The present invention can help to accurately control the accessory replacement process by extracting detailed replacement parameters in the positioning replacement strategy. These parameters clarify the operation details, such as the position and force of accessory disassembly and installation, thereby reducing assembly errors and improving assembly quality.

[0113] Among them, the detailed replacement parameters refer to a series of key data for accurately guiding the replacement operation of target mechanical parts in the positioning replacement strategy, covering the force, angle and sequence of disassembly of old parts, the precise position coordinates and tightening torque value of the installation of new parts, the trigger timing and locking force of quick locking, and the amplitude and direction of adaptive positioning fine-tuning, etc. Optionally, the extraction of detailed replacement parameters in the positioning replacement strategy can be achieved through a parameter extraction algorithm, such as: using the data analysis function in the Pandas library or the feature selection method in Scikit-learn to extract key parameters from the positioning replacement strategy and finally obtain detailed replacement parameters.

[0114] The present invention calculates the replacement efficiency attenuation value corresponding to the target mechanical parts based on the detailed replacement parameters, which can provide intuitive insight into changes in the replacement process over time or number of times. With the help of this value, it can accurately locate the links that affect the replacement efficiency, predict potential problems in advance, and then optimize the process in a targeted manner to ensure efficient replacement.

[0115] Among them, the replacement efficiency decay value is used to measure the degree to which the replacement efficiency of the target mechanical part decreases under the influence of various factors during the replacement process. The higher this value, the more the replacement efficiency decreases compared to the ideal state, indicating that there are some obstructive factors during the replacement process, such as complex operations and equipment wear; conversely, the lower the value, the milder the decay of the replacement efficiency, and the smoother the replacement process.

[0116] As an embodiment of the present invention, calculating the replacement efficiency decay value corresponding to the target mechanical part based on the detailed replacement parameters includes:

[0117] Calculating the replacement efficiency decay value corresponding to the target mechanical part using the following formula:

[0118] ;

[0119] Wherein, represents the replacement efficiency decay value corresponding to the target mechanical part, represents the total number of the detailed replacement parameters, represents the quantity index corresponding to the detailed replacement parameter, represents the th weight coefficient corresponding to the detailed replacement parameter, represents the th load value corresponding to the detailed replacement parameter, and respectively represent the start time and end time corresponding to the replacement process, represents at time the replacement capacity index at the moment.

[0120] Specifically, the weight coefficient refers to the importance of each detailed replacement parameter in calculating the replacement efficiency decay value. For example, for parameters that have a greater impact on efficiency during the replacement process, such as the precise position of part installation, a higher weight can be assigned; while for parameters with a smaller impact on efficiency, a lower weight is assigned; the load value describes the working load or pressure situation borne by this parameter during the replacement process. For example, in the operation of tightening parts, the load value corresponding to the detailed replacement parameter of tightening torque reflects the working load information such as the resistance to be overcome during the tightening operation. The larger the load value, the greater the negative impact on the replacement efficiency; the replacement capacity index represents the replacement capacity index at time the moment, which reflects the ability of the system or equipment to complete the replacement operation at different time points during the replacement process. For example, as the replacement time progresses, the equipment will experience heat generation, wear, etc., resulting in a decrease in its replacement capacity index, thereby affecting the replacement efficiency.

[0121] S5. Dynamically adjust the replacement action process corresponding to the target mechanical part based on the replacement efficiency decay value. Based on the replacement action process, evaluate the process handling status corresponding to the target mechanical part, analyze the efficiency processing dimension corresponding to the process handling status, and formulate a replacement positioning plan corresponding to the target mechanical part based on the efficiency processing dimension.

[0122] Based on the replacement efficiency decay value, the present invention dynamically adjusts the replacement action process corresponding to the target mechanical part, can timely address the problem of efficiency decline, and by accurately identifying the links affecting efficiency and targeted optimizing the operation steps, can effectively shorten the replacement time and improve the replacement efficiency.

[0123] Among them, the replacement action process refers to the sum of a series of specific operation steps and sequences from the start of preparation work to the disassembly of the old part, installation of the new part, debugging, etc. during the replacement of the target mechanical part. Dynamically adjusting the replacement action process means optimizing and improving the original operation steps, sequences, etc. according to the determined adjustment priority to improve the replacement efficiency.

[0124] As an embodiment of the present invention, the dynamically adjusting the replacement action process corresponding to the target mechanical part based on the replacement efficiency decay value includes: dividing the efficiency decay interval corresponding to the replacement efficiency decay value; extracting the key decay factors corresponding to the efficiency decay interval; analyzing the influence degree corresponding to the key decay factors; determining the adjustment priority corresponding to the target mechanical part based on the influence degree; and dynamically adjusting the replacement action process corresponding to the target mechanical part based on the adjustment priority.

[0125] Among them, the efficiency decay interval refers to dividing its range into different interval segments according to the magnitude of the replacement efficiency decay value. Each interval represents a different level of decline in replacement efficiency. For example, the low decay interval indicates a small decline in replacement efficiency and has little impact on the overall replacement process; the high decay interval indicates a significant reduction in replacement efficiency, seriously affecting the normal progress of replacement. The key decay factor refers to the factors that play a major role in the decline of replacement efficiency in each efficiency decay interval. For example, in a certain efficiency decay interval, it is found that due to severe wear of the key components of the equipment, the positioning during accessory replacement is inaccurate, and a large amount of time is consumed for adjustment. Then, the wear of the equipment components is the key decay factor in this interval. The degree of influence refers to the intensity and scope of the impact of the key decay factor on the replacement efficiency decay. For example, a certain key decay factor can cause the replacement time to be extended by 20% or the replacement success rate to be reduced by 15%. These data reflect the degree of influence of this factor. The adjustment priority refers to determining the order of improvement or adjustment of these factors based on the degree of influence of the key decay factors. Key decay factors with a large degree of influence usually have a higher adjustment priority and should be processed first to improve the replacement efficiency at the fastest speed; while factors with a smaller degree of influence can be processed later when there are more resources and time.

[0126] Further, the division of the efficiency decay interval corresponding to the replacement efficiency decay value can be achieved through the quantile division method. For example, by calculating the quartiles (Q1, Q2, Q3) of the replacement efficiency decay value, the efficiency decay value is divided into a low decay interval (<Q1), a medium decay interval (Q1~Q3), and a high decay interval (>Q3), thereby obtaining the efficiency decay interval. The extraction of the key decay factor corresponding to the efficiency decay interval can be achieved through principal component analysis (PCA). For example, by performing dimensionality reduction analysis on the replacement efficiency decay value and its related parameters, the principal component with the highest contribution rate is extracted as the key decay factor, and finally the key decay factor is obtained. The analysis of the degree of influence corresponding to the key decay factor can be achieved through the analytic hierarchy process (AHP). For example, by constructing a judgment matrix and calculating the weight values of each key decay factor, the impact degree of its influence on the replacement efficiency decay is quantified, and finally the degree of influence is obtained. The determination of the adjustment priority corresponding to the target mechanical accessory can be achieved through the weighted scoring method. For example, according to the degree of influence of the key decay factor and the replacement efficiency decay value, each target mechanical accessory is weighted and scored, and the adjustment priority is determined according to the score, and finally the adjustment priority is obtained. The dynamic adjustment of the replacement action process corresponding to the target mechanical accessory can be achieved through the reinforcement learning algorithm. For example, by constructing a Markov decision process (MDP) and using the Q-learning or deep Q-network (DQN) algorithm to optimize the replacement action process, finally the dynamically adjusted replacement action process is obtained.

[0127] The present invention is based on the replacement action process, evaluates the process processing status corresponding to the target mechanical parts, and analyzes the efficiency processing dimension corresponding to the process processing status. It can clearly grasp the actual situation of the replacement process, and can timely discover the bottlenecks and inefficient links in the process, optimize them in a targeted manner, and improve the overall replacement efficiency.

[0128] Among them, the process processing status refers to the specific situation of the target mechanical parts replacement action process during the execution process, including the completion progress of each operation link, whether there are abnormal conditions (such as equipment failure, operation errors, etc.), whether the connection between different steps is smooth, etc. It reflects the current stage and operation status of the entire replacement process. By evaluating the process processing status, problems in the replacement process can be discovered in time so that corresponding measures can be taken to solve them; the efficiency processing dimension refers to the perspective of measuring and analyzing the efficiency of the replacement action process from multiple aspects, such as the time dimension, focusing on each operation step and the time spent on the entire replacement process, and evaluating whether there is a waste of time; the resource dimension considers the manpower, material resources, and The efficiency of the utilization of financial resources, such as the frequency of use of tools, the workload of personnel, etc.; the quality dimension, analyzing the impact of the replacement process on the quality of accessory installation. If the installation accuracy of the accessory is not up to standard due to an unreasonable process, which in turn affects the overall efficiency, this is also a factor that needs to be considered in the efficiency processing dimension. Optionally, the evaluation of the process processing status corresponding to the target mechanical accessory can be achieved through a process mining algorithm, such as: by using the Alpha algorithm or the heuristic mining algorithm, extracting the process model from the replacement log of the target mechanical accessory, analyzing its current processing status, and finally obtaining the process processing status; the analysis of the efficiency processing dimension corresponding to the process processing status can be achieved through a multidimensional data analysis tool, such as: by using tools such as Tableau or Power BI, visually analyzing the dimensions of the process processing status such as time, resource consumption, and error rate, identifying the key dimensions of efficiency processing, and finally obtaining the efficiency processing dimension.

[0129] Furthermore, based on the efficiency processing dimension, the present invention formulates a replacement positioning plan corresponding to the target mechanical parts, which can accurately match time, resources and quality requirements, and can help plan efficient replacement periods to reduce downtime; the resource dimension ensures the rational allocation of manpower and material resources to reduce costs; the quality dimension ensures accurate positioning and improves assembly quality.

[0130] Among them, the replacement and positioning plan refers to a comprehensive and detailed operation plan, which is specially designed for the target mechanical parts replacement scenario. It covers in detail the whole process steps from the removal of old parts to the precise positioning and installation of new parts, including the order of parts disassembly, transportation route planning, and the positioning method of new parts at the assembly station, such as what kind of positioning tooling to use and what reference points to calibrate the position. At the same time, the plan clearly specifies the allocation of manpower, tools and other resources required for each link, as well as the optimization strategies formulated for different efficiency processing dimensions (such as time, resources, and quality), so as to ensure that the replacement process is efficient, accurate and stable. Optionally, the formulation of the replacement and positioning plan corresponding to the target mechanical parts can be achieved through a plan generation tool, such as ANSYS, Arena and other tools.

[0131] Compared with the problems described in the background technology, the present invention can accurately grasp the real-time status of the assembly of the accessories by acquiring the assembly station corresponding to the target mechanical accessories and collecting the real-time assembly spectrum corresponding to the assembly station, thereby providing key data support for the subsequent analysis of the assembly deviation curve, thereby greatly improving the accuracy and stability of the assembly. The present invention can effectively identify potential positioning deviation hazards by analyzing the positioning response characteristics in the spatial positioning network, thereby improving the assembly quality and reducing the output of defective products. At the same time, based on these characteristics, the assembly process can also be optimized and the equipment operation efficiency can be improved. Furthermore, based on the positioning matching degree, the present invention simulates the position deviation map of the assembly station under dynamic impact conditions, and can intuitively present the position changes of the station under complex conditions. Through this map, potential assembly error risks can be identified in advance, the assembly process can be adjusted in time, and product quality can be ensured. Furthermore, the present invention generates a positioning replacement strategy corresponding to the target mechanical accessories by integrating the adaptive positioning rules and the preset quick locking mechanism, which can greatly improve the efficiency of accessory replacement. The adaptive positioning rules dynamically adjust the positioning according to the actual working conditions to ensure accurate positioning after replacement; the quick locking mechanism quickly fixes the accessories to reduce the operation time. Finally, based on the replacement efficiency attenuation value, the present invention dynamically adjusts the replacement action process corresponding to the target mechanical accessories, which can promptly respond to the problem of efficiency decline. By accurately identifying the links that affect the efficiency and optimizing the operation steps in a targeted manner, the replacement time can be effectively shortened and the replacement efficiency can be improved. Therefore, the method and system for rapid replacement and positioning of high-precision mechanical accessories provided by the embodiments of the present invention can improve the assembly efficiency of mechanical accessories.

[0132] Embodiment 2:

[0133] like Figure 2 The figure shows a functional module diagram of a rapid replacement and positioning system for high-precision mechanical parts of the present invention.

[0134] The rapid replacement and positioning system 200 for a high-precision mechanical fitting described in the present invention can be installed in an electronic device. According to the functions achieved, the rapid replacement and positioning system for the high-precision mechanical fitting can include a network construction module 201, a matching degree calculation module 202, a rule construction module 203, an attenuation value calculation module 204, and a solution formulation module 205. The modules in the present invention can also be referred to as units, which refer to a series of computer program segments that can be executed by a processor of an electronic device and can complete fixed functions, and are stored in the memory of the electronic device.

[0135] In the embodiments of the present invention, the functions of each module / unit are as follows:

[0136] The network construction module 201 is configured to obtain the assembly station corresponding to the target mechanical fitting, collect the real-time assembly spectrum corresponding to the assembly station, based on the real-time assembly spectrum, analyze the assembly deviation curve of the assembly station under different fitting types, and construct a spatial positioning network corresponding to the target mechanical fitting according to the assembly deviation curve;

[0137] The matching degree calculation module 202 is configured to analyze the positioning response characteristics in the spatial positioning network, extract the accuracy error parameter and the repeated positioning threshold in the positioning response characteristics, and calculate the positioning matching degree of the target mechanical fitting during rapid replacement based on the accuracy error parameter and the repeated positioning threshold;

[0138] The rule construction module 203 is configured to simulate the position deviation map of the assembly station under dynamic impact conditions based on the positioning matching degree, and construct an adaptive positioning rule corresponding to the target mechanical fitting according to the position deviation map;

[0139] The attenuation value calculation module 204 is configured to integrate the adaptive positioning rule and a preset rapid locking mechanism to generate a positioning replacement strategy corresponding to the target mechanical fitting, extract the detailed replacement parameters in the positioning replacement strategy, and calculate the replacement efficiency attenuation value corresponding to the target mechanical fitting based on the detailed replacement parameters;

[0140] The solution formulation module 205 is configured to dynamically adjust the replacement action process corresponding to the target mechanical fitting based on the replacement efficiency attenuation value, evaluate the process processing status corresponding to the replacement action process based on the replacement action process, analyze the efficiency processing dimension corresponding to the process processing status, and formulate a replacement positioning solution corresponding to the target mechanical fitting based on the efficiency processing dimension.

[0141] Specifically, each module in the rapid replacement and positioning system 200 for the high-precision mechanical fitting in the embodiments of the present invention is used in the same way as the above Figure 1The technical means are the same as those of the method for rapid replacement and positioning of the high-precision mechanical parts described in [reference], and can achieve the same technical effects, which will not be elaborated here.

[0142] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-described exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms.

[0143] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for rapid replacement and positioning of high-precision mechanical parts, characterized in that, The method includes: Obtain the assembly station corresponding to the target mechanical part, collect the real-time assembly spectrum corresponding to the assembly station, based on the real-time assembly spectrum, analyze the assembly deviation curve of the assembly station under different part types, and construct a spatial positioning network corresponding to the target mechanical part according to the assembly deviation curve; Analyze the positioning response characteristics in the spatial positioning network, extract the accuracy error parameter and the repeated positioning threshold in the positioning response characteristics, and calculate the positioning matching degree of the target mechanical part during rapid replacement based on the accuracy error parameter and the repeated positioning threshold. Among them, calculating the positioning matching degree of the target mechanical part during rapid replacement based on the accuracy error parameter and the repeated positioning threshold includes: Calculate the positioning matching degree of the target mechanical part during rapid replacement using the following formula: ； Among them, represents the positioning matching degree of the target mechanical fitting during rapid replacement, represents the number of sampling points corresponding to the precision error parameter and the repeat positioning threshold, represents the number index of the sampling points, represents the precision error parameter corresponding to the th sampling point, represents the repeat positioning threshold corresponding to the th sampling point, represents the weight factor corresponding to the th sampling point, represents the calibration coefficient corresponding to the th sampling point; Based on the positioning matching degree, simulate the position deviation map of the assembly station under dynamic impact conditions, and construct an adaptive positioning rule corresponding to the target mechanical part according to the position deviation map; Integrate the adaptive positioning rule and the preset rapid locking mechanism to generate a positioning replacement strategy corresponding to the target mechanical part, extract the detailed replacement parameters in the positioning replacement strategy, and calculate the replacement efficiency decay value corresponding to the target mechanical part based on the detailed replacement parameters. Among them, calculating the replacement efficiency decay value corresponding to the target mechanical part based on the detailed replacement parameters includes: Calculate the replacement efficiency decay value corresponding to the target mechanical part using the following formula: ； Wherein, represents the replacement efficiency decay value corresponding to the target mechanical fitting, represents the total number of the detailed replacement parameters, represents the quantity index corresponding to the detailed replacement parameter, represents the th weight coefficient corresponding to the detailed replacement parameter, represents the th load value corresponding to the detailed replacement parameter, and respectively represent the start time and the end time corresponding to the replacement process, represents the replacement capacity index at time ; Based on the replacement efficiency decay value, dynamically adjust the replacement action process corresponding to the target mechanical part, evaluate the process processing status corresponding to the replacement action process based on the replacement action process, analyze the efficiency processing dimension corresponding to the process processing status, and formulate a replacement positioning plan corresponding to the target mechanical part based on the efficiency processing dimension.

2. The rapid replacement and positioning method of the high-precision mechanical parts according to claim 1, characterized in that, The constructing a spatial positioning network corresponding to the target mechanical part according to the assembly deviation curve includes: Summarize the assembly deviation parameters of each item in the assembly deviation curve to obtain a deviation parameter summary set; Based on the deviation parameter summary set, set the network construction conditions corresponding to the target mechanical part; Perform parsing processing on the network construction conditions to obtain network parsing data; Analyze the spatial positioning law corresponding to the network parsing data; Construct a spatial positioning network corresponding to the target mechanical part based on the spatial positioning law.

3. The rapid replacement and positioning method of the high-precision mechanical parts according to claim 1, characterized in that, The analyzing the positioning response characteristics in the spatial positioning network includes: Collect the network connection nodes corresponding to the spatial positioning network; Trace the node response records corresponding to the network connection nodes; Extract the time series parameters in the node response records; According to the time series parameters, sort out the response changes of the spatial positioning network at different time points; Analyze the positioning response characteristics in the spatial positioning network based on the response changes.

4. The rapid replacement and positioning method of the high-precision mechanical fittings according to claim 1, characterized in that, The simulating the position deviation map of the assembly station under dynamic impact conditions based on the positioning matching degree includes: Compare the deviation characteristics between the positioning matching degree and the preset dynamic impact standard; Dynamically decompose the deviation feature to obtain dynamically decomposed data; Extract the key dynamic points from the dynamically decomposed data; Based on the key dynamic points, determine the position deviation range of the assembly station under dynamic impact conditions; Based on the position deviation range, simulate the position deviation map of the assembly station under dynamic impact conditions.

5. The rapid replacement and positioning method of the high-precision mechanical parts according to claim 1, characterized in that, Construct the adaptive positioning rule corresponding to the target mechanical part according to the position deviation map, including: Determine the key deviation area corresponding to the position deviation map; Based on the key deviation area, analyze the positioning adjustment requirements corresponding to the target mechanical part; Regularize the positioning adjustment requirements to obtain regularized adjustment data; Extract the core adjustment parameters from the regularized adjustment data; Based on the core adjustment parameters, construct the adaptive positioning rule corresponding to the target mechanical part.

6. The rapid replacement and positioning method of the high-precision mechanical parts according to claim 1, characterized in that, Integrate the adaptive positioning rule with a preset quick locking mechanism to generate a positioning replacement strategy corresponding to the target mechanical part, including: Based on the adaptive positioning rule, construct a dynamic positioning framework corresponding to the target mechanical part; Real-time collect the operation state data of the target mechanical part; Based on the dynamic positioning framework, perform matching analysis on the operation state data to obtain a dynamic matching result; According to the dynamic matching result and the preset quick locking mechanism, determine the locking trigger condition corresponding to the target mechanical part; According to the locking trigger condition, construct a positioning replacement process corresponding to the target mechanical part; Based on the positioning replacement process, generate a positioning replacement strategy corresponding to the target mechanical part.

7. The rapid replacement and positioning method of the high-precision mechanical parts according to claim 1, characterized in that Dynamically adjust the replacement action process corresponding to the target mechanical part based on the replacement efficiency decay value, including: Divide the efficiency decay interval corresponding to the replacement efficiency decay value; Extract the key decay factors corresponding to the efficiency decay interval; Analyze the influence degree corresponding to the key decay factors; Based on the influence degree, determine the adjustment priority corresponding to the target mechanical part; Based on the adjustment priority, dynamically adjust the replacement action process corresponding to the target mechanical part.

8. A rapid replacement and positioning system for high-precision mechanical parts, characterized in that, The system includes: A network construction module, configured to obtain the assembly station corresponding to the target mechanical part, collect the real-time assembly spectrum corresponding to the assembly station, based on the real-time assembly spectrum, analyze the assembly deviation curve of the assembly station under different part types, and construct a spatial positioning network corresponding to the target mechanical part according to the assembly deviation curve; A matching degree calculation module, configured to analyze the positioning response characteristics in the spatial positioning network, extract the precision error parameter and the repeated positioning threshold in the positioning response characteristics, and calculate the positioning matching degree of the target mechanical part during quick replacement based on the precision error parameter and the repeated positioning threshold, wherein calculating the positioning matching degree of the target mechanical part during quick replacement based on the precision error parameter and the repeated positioning threshold includes: Calculate the positioning matching degree of the target mechanical part during quick replacement using the following formula: ； Among them, represents the positioning matching degree of the target mechanical part during rapid replacement, represents the number of sampling points corresponding to the precision error parameter and the repeat positioning threshold, represents the number index of sampling points, represents the precision error parameter corresponding to the th sampling point, represents the repeat positioning threshold corresponding to the th sampling point, represents the weight factor corresponding to the th sampling point, represents the calibration coefficient corresponding to the th sampling point; A rule construction module, configured to simulate a position deviation map of the assembly station under dynamic impact conditions based on the positioning matching degree, and construct an adaptive positioning rule for the target mechanical part according to the position deviation map; An attenuation value calculation module, configured to integrate the adaptive positioning rule and a preset quick locking mechanism to generate a positioning replacement strategy for the target mechanical part, extract detailed replacement parameters in the positioning replacement strategy, and calculate a replacement efficiency attenuation value for the target mechanical part based on the detailed replacement parameters. Among them, calculating the replacement efficiency attenuation value for the target mechanical part based on the detailed replacement parameters includes: Calculating the replacement efficiency attenuation value for the target mechanical part using the following formula: ； Among them, represents the replacement efficiency decay value corresponding to the target mechanical fitting, represents the total number of the detailed replacement parameters, represents the quantity index corresponding to the detailed replacement parameter, represents the weight coefficient corresponding to the th detailed replacement parameter, represents the load value corresponding to the th detailed replacement parameter, and respectively represent the start time and the end time corresponding to the replacement process, represents the replacement capacity index at time A solution formulation module, configured to dynamically adjust the replacement action process for the target mechanical part based on the replacement efficiency attenuation value, evaluate the process handling status for the target mechanical part based on the replacement action process, analyze the efficiency processing dimension corresponding to the process handling status, and formulate a replacement positioning solution for the target mechanical part based on the efficiency processing dimension.

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