Workstation management method and system for smart instrument assembly process

Abstract

Provided are a workstation management method and system for a smart instrument assembly process, relating to the technical field of workstation management. The method comprises: recording trial assembly at an instrument assembly workstation to acquire result record data, semi-automatic trajectory data and binocular photographic data; determining whether the trial assembly is successful; when the trial assembly is successful, creating standard trajectory data and photographic comparison data; performing placement photographing and comparison, and determining whether placement is performed in a standard manner; and performing automatic instrument assembly at the instrument assembly workstation according to the standard trajectory data. During semi-automatic trial assembly, the trial assembly at an instrument assembly workstation can be recorded, and when the trial assembly is successful, standard trajectory data and photographic comparison data are created, such that during formal instrument assembly, standard placement monitoring and automatic assembly processing are performed, and an accurate instrument assembly trajectory can be generated, thereby improving the precision of smart instrument assembly, effectively avoiding the generation of a large number of waste members during assembly, and reducing the machining costs of smart instruments.

Description

A method and system for managing workstations in an intelligent instrument assembly process Technical Field

[0001] The present invention relates to the technical field of workstation management, and in particular to a method and system for managing workstations in an intelligent instrument assembly process. Background Art

[0002] Smart meter assembly is the process of assembling several parts and / or components of a smart meter into a finished instrument according to its technical requirements. Because manufacturers produce a wide variety of smart meters, they typically share a single assembly station, using different tooling and auxiliary equipment to assemble the corresponding smart meter.

[0003] In the existing technology, there is usually no automatic smart instrument assembly process station management technology. For the assembly management of the instrument assembly station, technicians are required to manually set the running trajectory of the assembly locking screws, resulting in inaccurate running trajectory, affecting the accuracy of smart instrument assembly, and unable to perform automatic placement monitoring. Therefore, when the placement is invalid, the assembly process is still carried out, which easily causes a large number of scrap parts and greatly increases the processing cost of smart instruments.

[0004] Summary of the Invention

[0005] (1) Technical problems solved

[0006] In response to the deficiencies in the prior art, the present invention provides a method and system for managing workstations in the assembly process of intelligent instruments, which solves the problem that in the prior art, there is usually no automatic workstation management technology for the assembly process of intelligent instruments. For the assembly management of instrument assembly stations, technicians need to manually set the running trajectory of the assembly locking screws, resulting in inaccurate running trajectory, affecting the accuracy of the assembly of intelligent instruments, and unable to perform automatic placement monitoring, so that when invalid placement is performed, assembly processing is still carried out, which easily causes a large number of waste parts and greatly increases the processing cost of intelligent instruments.

[0007] (2) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] A method for managing workstations in an intelligent instrument assembly process, the method comprising:

[0010] During the semi-automatic trial production of instrument assembly, record the instrument assembly station and obtain result record data, semi-automatic trajectory data and binocular shooting data;

[0011] Comparing and analyzing the result record data according to the preset standard success ratio to determine whether the assembly trial production is successful;

[0012] When the assembly trial is successful, performing standard comparison processing based on the result recording data, the semi-automatic trajectory data and the binocular shooting data to create standard trajectory data and shooting comparison data;

[0013] Before the automatic assembly of the instrument assembly, the instrument assembly station is photographed and compared according to the shooting and comparison data to determine whether it is placed in a standard manner;

[0014] During standard placement, the instrument assembly is automatically performed at the instrument assembly station according to the standard trajectory data.

[0015] As a further limitation of the technical solution of the embodiment of the present invention, during the semi-automatic trial production of the instrument assembly, the trial production record of the instrument assembly station is performed, and the result record data, semi-automatic trajectory data and binocular shooting data are obtained, which specifically include:

[0016] Generate recording and shooting instructions during semi-automatic trial production of instrument assembly;

[0017] According to the recording instructions, the instrument assembly station is track recorded to obtain semi-automatic track data;

[0018] According to the shooting instructions, the instrument assembly station is photographed by binocular to obtain binocular shooting data;

[0019] Receive the result mark from the operator and generate statistical result record data.

[0020] As a further limitation of the technical solution of the embodiment of the present invention, the comparative analysis of the result record data according to the preset standard success ratio to determine whether the assembly trial production is successful specifically includes:

[0021] Analyze the result record data to obtain the trial production success rate;

[0022] Comparing the trial production success ratio with a preset standard success ratio to generate a ratio comparison result;

[0023] According to the ratio comparison result, when the trial production success ratio is greater than the standard success ratio, the assembly trial production is determined to be successful;

[0024] According to the ratio comparison result, when the trial production success ratio is not greater than the standard success ratio, it is determined that the assembly trial production has failed.

[0025] As a further limitation of the technical solution of the embodiment of the present invention, when the assembly trial production is successful, performing standard comparison processing based on the result recording data, the semi-automatic trajectory data and the binocular shooting data to create the standard trajectory data and the shooting comparison data specifically includes:

[0026] When the assembly trial is successful, record data based on the results and mark multiple successful trial instruments;

[0027] According to the plurality of successfully trial-produced instruments, screening successful trajectory data from the semi-automatic trajectory data;

[0028] According to the plurality of successfully trial-produced instruments, screening successful shooting data from the binocular shooting data;

[0029] The successful trajectory data and the successful shooting data are subjected to standard comparison processing to create standard trajectory data and shooting comparison data.

[0030] As a further limitation of the technical solution of the embodiment of the present invention, performing standard comparison processing on the successful trajectory data and the successful shooting data to create standard trajectory data and shooting comparison data specifically includes:

[0031] Filtering representative captured images from the successful capturing data;

[0032] Performing feature marking on the representative captured image to determine a plurality of instrument features;

[0033] performing interval analysis on the successful shooting data according to the plurality of instrument features to create shooting comparison data;

[0034] The shooting comparison data and the successful trajectory data are integrated, and standard processing is performed to create standard trajectory data.

[0035] As a further limitation of the technical solution of the embodiment of the present invention, the integrating the shooting control data and the successful trajectory data, performing standard processing, and creating the standard trajectory data specifically includes:

[0036] Performing trajectory averaging processing on the successful trajectory data to create average trajectory data;

[0037] identifying a highest spatial position in the captured comparison data;

[0038] According to the highest spatial position, the average trajectory data is optimized and adjusted to generate standard trajectory data.

[0039] As a further limitation of the technical solution of the embodiment of the present invention, before the automatic assembly of the instrument assembly, the placement of the instrument assembly station is photographed and compared according to the photographed comparison data, and determining whether the placement is standard specifically includes:

[0040] Placement sensing is performed at the instrument assembly station before automated assembly of the instrument;

[0041] When sensing the instrument assembly placement, perform binocular photography to obtain placement photography data;

[0042] Performing a comparison analysis on the placement shooting data according to the shooting comparison data to obtain a comparison analysis result;

[0043] According to the control analysis results, determine whether the placement is standard.

[0044] As a further limitation of the technical solution of the embodiment of the present invention, the automatic assembly of the instrument assembly at the instrument assembly station according to the standard trajectory data during standard placement specifically includes:

[0045] Generate automatic assembly instructions when placing in standard mode;

[0046] importing the standard trajectory data according to the automatic assembly instruction;

[0047] According to the standard trajectory data, the instrument assembly is automatically performed at the instrument assembly station.

[0048] An intelligent instrument assembly process workstation management system, the system comprising:

[0049] The station trial production recording module is used to record the instrument assembly station during the semi-automatic trial production of the instrument assembly, and obtain the result record data, semi-automatic trajectory data and binocular shooting data;

[0050] A trial production success judgment module is used to compare and analyze the result record data according to a preset standard success ratio to determine whether the assembly trial production is successful;

[0051] A standard control processing module is used to perform standard control processing based on the result recording data, the semi-automatic trajectory data and the binocular shooting data when the assembly trial production is successful, and to create standard trajectory data and shooting control data;

[0052] A standard placement judgment module is used to take photos and compare the placement of the instrument assembly station according to the shooting comparison data before the automatic assembly of the instrument assembly to determine whether it is placed in a standard manner;

[0053] The instrument automatic assembly module is used to automatically assemble the instrument at the instrument assembly station according to the standard trajectory data during standard placement.

[0054] As a further limitation of the technical solution of the embodiment of the present invention, the workstation trial production recording module specifically includes:

[0055] An instruction generation unit is used to generate recording instructions and shooting instructions during semi-automatic trial production of instrument assembly;

[0056] A trajectory recording unit, configured to record the trajectory of the instrument assembly station according to the recording instruction to obtain semi-automatic trajectory data;

[0057] A binocular shooting unit is used to perform binocular shooting of the instrument assembly station according to the shooting instruction to obtain binocular shooting data;

[0058] The result recording unit is used to receive the result mark of the operator and generate statistical result recording data.

[0059] (3) Beneficial effects

[0060] The present invention provides a method and system for managing workstations in the assembly process of intelligent instruments. Compared with the existing technology, it has the following advantages:

[0061] (1) The present invention can record the instrument assembly station during semi-automatic trial production, and create accurate standard trajectory data when the assembly trial production is successful, thereby realizing automatic and accurate intelligent instrument assembly during the instrument assembly process. Compared with the running trajectory of the assembly locking screws manually set by technicians, the present invention can not only automatically generate trajectory data, but also the trajectory data is more accurate;

[0062] (2) The present invention can record the trial production of the instrument assembly station during semi-automatic trial production. If the assembly trial production is successful, the present invention can create shooting comparison data. Then, before automatic assembly, the present invention can perform standard placement judgment on the instrument assembly station to prevent invalid placement assembly processing, thereby effectively avoiding the generation of a large number of waste parts during assembly and reducing the processing cost of smart instruments.

[0063] (3) The present invention can optimize and adjust the created average trajectory data through the shooting comparison data created after binocular shooting processing, and generate standard trajectory data, so that when automatic assembly is performed according to the standard trajectory data, it can avoid collision with the instrument and maintain a certain safety height when the operator intervenes to correct the operation, thereby ensuring the operator's operational safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0065] FIG1 is a flow chart of a method provided by an embodiment of the present invention.

[0066] FIG2 is an application architecture diagram of a system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0067] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0068] The embodiments of the present application provide a method and system for managing workstations in the assembly process of smart instruments, thereby solving the problem in the prior art that there is usually no automatic workstation management technology for the assembly process of smart instruments. For the assembly management of the instrument assembly stations, technicians need to manually set the running trajectory of the assembly locking screws, resulting in inaccurate running trajectory, affecting the accuracy of the assembly of the smart instruments, and unable to perform automatic placement monitoring. As a result, assembly processing is still carried out when invalid placement is performed, which easily results in a large number of scrap parts and greatly increases the processing cost of the smart instruments.

[0069] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0070] Example 1:

[0071] As shown in FIG1 , the present invention provides a method for managing workstations in an intelligent instrument assembly process, the method comprising:

[0072] S100, during the semi-automatic trial production of the instrument assembly, record the trial production of the instrument assembly station, and obtain result record data, semi-automatic trajectory data, and binocular shooting data;

[0073] S200, comparing and analyzing the result recorded data according to a preset standard success ratio to determine whether the assembly trial production is successful;

[0074] S300, when the assembly trial is successful, performing standard comparison processing based on the result recording data, the semi-automatic trajectory data and the binocular shooting data to create standard trajectory data and shooting comparison data;

[0075] S400, before the automatic assembly of the instrument assembly, the instrument assembly station is photographed and compared according to the photographed comparison data to determine whether it is placed in a standard manner;

[0076] S500 , during standard placement, automatically assembling the instrument at the instrument assembly station according to the standard trajectory data.

[0077] The beneficial effects of this embodiment are:

[0078] (1) The present invention can record the instrument assembly station during semi-automatic trial production, and create accurate standard trajectory data when the assembly trial production is successful, thereby realizing automatic and accurate intelligent instrument assembly during the instrument assembly process. Compared with the running trajectory of the assembly locking screws manually set by technicians, the present invention can not only automatically generate trajectory data, but also the trajectory data is more accurate;

[0079] (2) The present invention can record the trial production of the instrument assembly station during semi-automatic trial production. If the assembly trial production is successful, the present invention can create shooting comparison data. Then, before automatic assembly, the instrument assembly station can be judged by standard placement to prevent invalid placement assembly processing, thereby effectively avoiding the generation of a large number of waste parts during assembly and reducing the processing cost of smart instruments.

[0080] (3) The present invention can optimize and adjust the created average trajectory data through the shooting comparison data created after binocular shooting processing, and generate standard trajectory data, so that when automatic assembly is performed according to the standard trajectory data, it can avoid collision with the instrument and maintain a certain safety height when the operator intervenes to correct the operation, thereby ensuring the operator's operational safety.

[0081] The implementation process of the embodiment of the present invention is described in detail below:

[0082] For S100 and smart meters, trial production is required before formal assembly and processing, which is used to check the assembly effect, test the assembly tooling, and familiarize operators with the assembly process. The trial production of the instrument assembly is semi-automatic, which requires the operator to place the smart meter to be assembled on the assembly tooling at the instrument assembly station, and then move the electric screwdriver from the default position to multiple assembly points of the smart meter to perform cross-type screw assembly. When performing semi-automatic trial production of the instrument assembly, recording instructions and shooting instructions are generated. According to the recording instructions, the operator at the instrument assembly station holds the electric screwdriver and moves The electrokinetic batch performs cross-type screw locking assembly at multiple assembly points to record the trajectory. After a batch of smart instruments are assembled, semi-automatic trajectory data is obtained. When the operator places the smart instruments to be assembled on the assembly tooling, the operator follows the shooting instructions and performs binocular shooting of the placed smart instruments on one side of the instrument assembly station. After a batch of smart instruments are assembled, binocular shooting data is obtained. After the operator completes the assembly of each smart instrument, the assembly result needs to be marked and recorded. By receiving the operator's result mark, the result record data of a batch of smart instruments is completed.

[0083] It can be understood that the trajectory recording is to construct a spatial coordinate system with the default initial point of the electric batch as the origin, and then record the changes in the movement of the electric batch in the spatial coordinate system to accurately record the trajectory of the electric batch movement.

[0084] For S200, by analyzing the result record data, the total assembly quantity and successful quantity of the smart meter are determined, and then the trial production success ratio is calculated. The trial production success ratio is compared with the preset standard success ratio to determine whether the trial production success ratio is greater than the preset standard success ratio. When the trial production success ratio is greater than the standard success ratio, the assembly trial production is determined to be successful; when the trial production success ratio is not greater than the standard success ratio, the assembly trial production is determined to be a failure.

[0085] It is understandable that the standard success rate can be set to 85%. Only when the trial production success rate is greater than 85%, it indicates that the assembly effect of the smart instrument meets the standard, the assembly tooling and auxiliary equipment test has passed, and the operator is familiar with the assembly process. At this time, it can be determined that the assembly trial production is successful.

[0086] In S300, when it is determined that the assembly trial production is successful, the successfully assembled smart meters in the batch of smart meter assembly are determined based on the result record data, and multiple successfully trial-produced instruments are marked. Then, the trajectory data corresponding to the multiple successfully trial-produced instruments are screened out from the semi-automatic trajectory data to obtain successful trajectory data. At the same time, the shooting data corresponding to the multiple successfully trial-produced instruments are screened out from the binocular shooting data to obtain successful shooting data. A representative shooting image is randomly screened from the successful shooting data, and then feature-marking is performed on the representative shooting image. Multiple instrument features including the upper left corner point, the upper right corner point, and the text label point are selected from the representative shooting image. According to the multiple instrument features, the spatial positions of the multiple instrument features of each placed smart meter in the successful shooting data are recorded. According to the recorded spatial position change interval of the multiple instrument features, shooting comparison data is created, and the trajectory lines in the successful trajectory data are averaged to create average trajectory data. Then, the highest spatial position in the shooting comparison data is identified. According to the highest spatial position and a preset safety height, the height of the horizontal movement of the electric batch in the average trajectory data is optimized and adjusted to generate standard trajectory data.

[0087] It can be understood that the trajectory lines in the successful trajectory data are averaged to create the average trajectory data. Specifically, the successful trajectory data can be divided according to multiple successfully assembled smart meters to obtain successful trajectory sub-data corresponding to each successfully assembled smart meter. Then, according to a preset processing frame rate, the multiple successful trajectory sub-data are processed frame by frame, and the corresponding trajectory spatial coordinates of the multiple successful trajectory sub-data at each frame rate are recorded. The trajectory spatial coordinates at each frame rate are averaged, and then the spatial coordinate points averaged at multiple frame rates are connected to achieve the creation of the average trajectory data.

[0088] It can be understood that according to the highest spatial position and the preset safety height, the height of the horizontal movement of the electric batch in the average trajectory data is optimized and adjusted to generate standard trajectory data, so that when automatic assembly is performed according to the standard trajectory data, it is possible to avoid collision with the instrument and retain a certain safety height when the operator intervenes to correct the operation, thereby ensuring the operator's operational safety.

[0089] For S400, before the automatic assembly of the instrument assembly, infrared placement sensing is performed at the instrument assembly station. When the infrared sensing detects that the instrument assembly is placed, binocular placement shooting is performed to obtain placement shooting data. By identifying and recording the positions of multiple instrument features in the placement shooting data, spatial position data of multiple instrument features are obtained. The spatial position data of multiple instrument features are compared with the shooting comparison data to determine whether they are within the spatial position change interval corresponding to the shooting comparison data. When multiple instrument features are within the spatial position change interval corresponding to the shooting comparison data, it is determined that this is a standard placement. When at least one instrument feature is not within the spatial position change interval corresponding to the shooting comparison data, it is determined that this is not a standard placement, and a corresponding prompt is given. This can prevent invalid placement assembly processing and effectively avoid a large amount of scrap generated by assembly, thereby reducing the processing cost of smart instruments.

[0090] For S500, in the case of standard placement, automatic assembly instructions are generated. According to the automatic assembly instructions, standard trajectory data is imported. Then, according to the standard trajectory data, the electric screwdriver at the instrument assembly station is controlled to automatically move, suck screws, and perform cross-type screw assembly on the smart instrument. Automatic assembly of the instrument at the instrument assembly station can achieve more precise assembly of the smart instrument and improve the processing quality of the smart instrument assembly compared to the running trajectory of the assembly screws manually set by technicians.

[0091] Example 2:

[0092] As shown in FIG2 , the present invention provides a smart instrument assembly process station management system, which includes:

[0093] The station trial production recording module 100 is used to record the trial production of the instrument assembly station during the semi-automatic trial production of the instrument assembly, and obtain the result recording data, semi-automatic trajectory data and binocular shooting data;

[0094] The trial production success judgment module 200 is used to compare and analyze the result record data according to a preset standard success ratio to determine whether the assembly trial production is successful;

[0095] The standard control processing module 300 is used to perform standard control processing based on the result recording data, the semi-automatic trajectory data and the binocular shooting data when the assembly trial production is successful, and to create standard trajectory data and shooting control data;

[0096] The standard placement judgment module 400 is used to take photos and compare the placement of the instrument assembly station according to the shooting comparison data before the automatic assembly of the instrument assembly to determine whether it is placed in a standard manner;

[0097] The instrument automatic assembly module 500 is used to automatically assemble the instrument at the instrument assembly station according to the standard trajectory data during standard placement.

[0098] It can be understood that the intelligent instrument assembly process workstation management system provided in an embodiment of the present invention corresponds to the above-mentioned intelligent instrument assembly process workstation management method. The explanation, examples, beneficial effects, etc. of its relevant contents can refer to the corresponding contents in the intelligent instrument assembly process workstation management method, and will not be repeated here.

[0099] In summary, compared with the prior art, the present invention has the following beneficial effects:

[0100] (1) The present invention can record the instrument assembly station during semi-automatic trial production, and create accurate standard trajectory data when the assembly trial production is successful, thereby realizing automatic and accurate intelligent instrument assembly during the instrument assembly process. Compared with the running trajectory of the assembly locking screws manually set by technicians, the present invention can not only automatically generate trajectory data, but also the trajectory data is more accurate;

[0101] (2) The present invention can record the trial production of the instrument assembly station during semi-automatic trial production. If the assembly trial production is successful, the present invention can create shooting comparison data. Then, before automatic assembly, the instrument assembly station can be judged by standard placement to prevent invalid placement assembly processing, thereby effectively avoiding the generation of a large number of waste parts during assembly and reducing the processing cost of smart instruments.

[0102] (3) The present invention can optimize and adjust the created average trajectory data through the shooting comparison data created after binocular shooting processing, and generate standard trajectory data, so that when automatic assembly is performed according to the standard trajectory data, it can avoid collision with the instrument and maintain a certain safety height when the operator intervenes to correct the operation, thereby ensuring the operator's operational safety.

[0103] It should be noted that, through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus the necessary general hardware platform. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiment. In this article, relational terms such as first and second are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. Without further constraints, an element defined by the phrase "comprises a..." does not preclude the existence of additional identical elements in the process, method, article or apparatus that includes the element.

[0104] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for managing workstations in an intelligent instrument assembly process, characterized in that: The method includes: During the semi-automatic trial production of instrument assembly, the instrument assembly station is recorded for trial production, and result record data, semi-automatic trajectory data and binocular shooting data are obtained; According to the preset standard success ratio, the result record data is compared and analyzed to determine whether the assembly trial production is successful; When the assembly trial production is successful, a standard comparison process is performed according to the result recording data, the semi-automatic trajectory data and the binocular shooting data to create standard trajectory data and shooting comparison data; Before the automatic assembly of the instrument assembly, the instrument assembly station is photographed and compared according to the shooting and comparison data to determine whether it is placed in a standard manner; During standard placement, the instrument assembly is automatically performed at the instrument assembly station according to the standard trajectory data.

2. A method for managing workstations in an intelligent instrument assembly process as claimed in claim 1, characterized in that: During the semi-automatic trial production of the instrument assembly, the instrument assembly station is trial-produced and recorded, and the result recording data, semi-automatic trajectory data and binocular shooting data are obtained, which specifically include: Generate recording and shooting instructions during semi-automatic trial production of instrument assembly; According to the recording instructions, the trajectory of the instrument assembly station is recorded to obtain semi-automatic trajectory data; According to the shooting instruction, binocular shooting is performed on the instrument assembly station to obtain binocular shooting data; Receive the result mark from the operator and generate statistical result record data.

3. A method for managing workstations in an intelligent instrument assembly process as claimed in claim 1, characterized in that: The comparative analysis of the result record data according to the preset standard success ratio to determine whether the assembly trial production is successful specifically includes: Analyze the result record data to obtain the trial production success ratio; Comparing the trial production success ratio with a preset standard success ratio to generate a ratio comparison result; According to the ratio comparison result, when the trial production success ratio is greater than the standard success ratio, the assembly trial production is determined to be successful; According to the ratio comparison result, when the trial production success ratio is not greater than the standard success ratio, it is determined that the assembly trial production has failed.

4. A method for managing workstations in an intelligent instrument assembly process as claimed in claim 1, characterized in that: When the assembly trial production is successful, the standard comparison processing is performed according to the result recording data, the semi-automatic trajectory data and the binocular shooting data, and the creation of the standard trajectory data and the shooting comparison data specifically includes: When the assembly trial is successful, record data according to the results and mark a plurality of successful trial instruments; According to the plurality of successfully trial-produced instruments, selecting successful trajectory data from the semi-automatic trajectory data; According to the plurality of successfully trial-produced instruments, selecting successful shooting data from the binocular shooting data; The successful trajectory data and the successful shooting data are subjected to standard comparison processing to create standard trajectory data and shooting comparison data.

5. A method for managing workstations in an intelligent instrument assembly process as claimed in claim 4, characterized in that: The performing standard comparison processing on the successful trajectory data and the successful shooting data to create standard trajectory data and shooting comparison data specifically includes: Filtering representative captured images from the successful captured data; Performing feature marking on the representative captured image to determine a plurality of instrument features; According to the plurality of the instrument features, performing interval analysis on the successful shooting data to create shooting comparison data; Comprehensively process the shooting control data and the successful trajectory data to create Create standard trajectory data.

6. A method for managing workstations in an intelligent instrument assembly process as claimed in claim 5, characterized in that: The step of integrating the shooting control data and the successful trajectory data, performing standard processing, and creating standard trajectory data specifically includes: Performing trajectory averaging processing on the successful trajectory data to create average trajectory data; identifying a highest spatial position in the captured comparison data; According to the highest spatial position, the average trajectory data is optimized and adjusted to generate standard trajectory data.

7. A method for managing workstations in an intelligent instrument assembly process as claimed in claim 1, characterized in that: Before the automatic assembly of the instrument assembly, the placement of the instrument assembly station is photographed and compared according to the photographed comparison data, and judging whether the placement is standard specifically includes: Placement sensing is performed at the instrument assembly station before automated assembly of the instrument; When sensing the instrument assembly placement, perform binocular photography to obtain placement photography data; According to the shooting comparison data, the placement shooting data is compared and analyzed to obtain a comparison and analysis result; According to the comparison analysis results, determine whether the placement is standard.

8. A method for managing workstations in an intelligent instrument assembly process as claimed in claim 1, characterized in that: During the standard placement, the automatic assembly of the instrument assembly at the instrument assembly station according to the standard trajectory data specifically includes: When placing by standard, automatic assembly instructions are generated; According to the automatic assembly instruction, importing the standard trajectory data; According to the standard trajectory data, the instrument is automatically assembled at the instrument assembly station.

9. An intelligent instrument assembly process station management system, characterized in that: The system includes: The station trial production record module is used to record the instrument assembly during the semi-automatic trial production of the instrument assembly. Assign workstations to conduct trial production records, obtain result record data, semi-automatic trajectory data and binocular shooting data; A trial production success judgment module is used to compare and analyze the result record data according to a preset standard success ratio to determine whether the assembly trial production is successful; A standard control processing module is used to perform standard control processing according to the result recording data, the semi-automatic trajectory data and the binocular shooting data to create standard trajectory data and shooting control data when the assembly trial production is successful; A standard placement judgment module is used to perform placement photography and comparison of the instrument assembly station according to the photography comparison data before the automatic assembly of the instrument assembly to determine whether it is placed in a standard manner; The instrument automatic assembly module is used to automatically assemble the instrument at the instrument assembly station according to the standard trajectory data during standard placement.

10. The intelligent instrument assembly process station management system according to claim 9, characterized in that: The station trial production record module specifically includes: An instruction generation unit, used to generate recording instructions and shooting instructions during semi-automatic trial production of instrument assembly; A trajectory recording unit, used to record the trajectory of the instrument assembly station according to the recording instruction to obtain semi-automatic trajectory data; A binocular shooting unit, used to perform binocular shooting of the instrument assembly station according to the shooting instruction to obtain binocular shooting data; The result recording unit is used to receive the result mark of the operator and generate statistical result recording data.

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