Flexible whole machine debugging planning system

Abstract

The application discloses a flexible whole machine adjustment and measurement planning system, which comprises a task subsystem, a process subsystem, a test subsystem and a logistics subsystem. The application solves the problem of manual management of adjustment and measurement tasks in the industry, provides a task execution mode combining the adjustment and measurement production characteristics of aviation comprehensive equipment and the sampling inspection requirements of users, and realizes task automation and informatization management.

Description

Technical Field

[0001] This invention belongs to the field of integrated equipment commissioning and testing technology, and in particular relates to a flexible whole-machine commissioning and testing planning system. Background Technology

[0002] The flexible digital commissioning and testing production line receives product information and production plans for relevant equipment from the PDM and MES systems. Through test process planning, it completes the test process design and simulation of the equipment and outputs relevant process documents. Through advanced scheduling, it completes the conversion of production plans into test plans and distributes them to the production site. Through on-site production scheduling and control of corresponding module, complete machine, and system testing / environmental testing equipment, it completes equipment production testing and collects on-site test data. The data center will receive data from the entire production testing process and all elements, and provide basic data for upper-level production testing data display and analysis applications.

[0003] Due to differences in the optimal kitting quantities for each commissioning step, the current MES system is unsuitable for managing the commissioning tasks of integrated aviation equipment. The current model is entirely manual, resulting in low efficiency. The original commissioning process relied on editing commissioning process documents using software like Kaimu or relatively advanced digital process management software (MPM) to generate process cards for commissioning personnel. This approach is no longer suitable for the human-machine combination in flexible digital whole-machine commissioning production lines. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the prior art and provide a flexible whole machine debugging and planning system, which realizes efficient planning and design of flexible whole machine debugging and production line process through the cooperation between various subsystems.

[0005] The objective of this invention is achieved through the following technical solution:

[0006] A flexible whole-machine debugging and planning system, the system comprising:

[0007] The process subsystem outputs the debugging process to the task subsystem for work order production scheduling, outputs the debugging sequence to the test subsystem to drive the debugging task, and outputs the logistics scheduling plan to the logistics subsystem for logistics scheduling. The debugging process includes the process route and working hours.

[0008] The task subsystem is used to acquire batch task orders, split and adjust the orders based on product quantity, task delivery date, and optimal set quantity to form a debugging task work order resource pool. The task work order resource pool is used to generate a production schedule based on the task attributes of the work orders. The task attributes include debugging steps, production station idle status, and task urgency.

[0009] The testing subsystem is used to receive the debugging sequence output by the process subsystem to complete product testing. The testing subsystem integrates the test interface and driver of the equipment under test, automatically sends test instructions to the equipment under test according to the preset test index sequence, and feeds back the test results.

[0010] The logistics subsystem obtains the logistics scheduling plan from the process subsystem and then executes logistics operations according to the scheduling plan. The logistics subsystem includes task execution robots and task distribution stations. The logistics subsystem realizes logistics transportation between material warehouses, commissioning and preparation areas, turnover areas, testing areas and testing stations.

[0011] Furthermore, the testing system also includes an anomaly handling subsystem, which performs tests according to the testing sequence requirements and triggers an alarm when the test results do not meet the testing sequence requirements.

[0012] Furthermore, the task subsystem is also set with a sampling ratio, which automatically completes the sampling of work orders and the matching of work steps based on the number of work orders in the work order resource pool.

[0013] Furthermore, the task execution vehicle includes an automated guided vehicle, and the task distribution station includes an optical communication station. The optical communication station is deployed at the task distribution node, which includes a charging point, a connection point, and a workbench. The automated guided vehicle picks up the task received by the optical communication station at the optical communication station and executes it.

[0014] Furthermore, the optical communication station connects to the communication bus to obtain tasks issued by the server.

[0015] Furthermore, the path planning and scheduling command control of the task execution vehicle are implemented through a scheduling system and a task issuance station.

[0016] Furthermore, the testing subsystem matches the corresponding process document based on the scanned product identification mark, thereby binding the process route, debugging sequence, and working hours.

[0017] Furthermore, after completing the test, the testing subsystem generates and stores a test record report based on the scanned product information and the test results fed back from the debugging sequence.

[0018] The beneficial effects of this invention are as follows:

[0019] (1) This invention solves the problem of manual management of commissioning and testing tasks in the industry, and provides a task execution mode that combines the production characteristics of integrated aviation equipment commissioning and testing with the user inspection and sampling requirements, thereby realizing automated and information-based management of tasks.

[0020] (2) This invention provides a flexible digital debugging process design method oriented towards human-machine interaction, which breaks through the inherent manual debugging production mode in the industry, realizes the transformation of process-driven and automated execution, improves production efficiency, and releases human resources.

[0021] (3) This invention solves the problem of full-process automatic testing in the industry and provides a mode that combines process route, debugging time and debugging sequence. At the same time, it automatically generates test reports based on test feedback results, which greatly improves testing efficiency.

[0022] (4) This invention solves the problem of intelligent logistics transportation in the aviation integrated equipment commissioning workshop. Based on optical communication mode and mature intelligent logistics design, it reduces the demand of intelligent logistics system on wireless network, realizes the intelligent and information-based transformation of aviation integrated equipment commissioning logistics, and improves the logistics efficiency of commissioning process.

[0023] (5) This invention solves the problem of the industry’s all-manual execution mode of abnormal handling. Based on the automatic adjustment sequence and the sound and light alarm device, it realizes the automatic reporting of abnormal product indicators, which releases human resource costs and improves product quality reliability. Attached Figure Description

[0024] Figure 1 This is a structural block diagram of the flexible whole-machine debugging and planning system provided in an embodiment of the present invention;

[0025] Figure 2 This is a diagram of the task subsystem architecture according to an embodiment of the present invention;

[0026] Figure 3 This is a schematic diagram of the production scheduling plan according to an embodiment of the present invention;

[0027] Figure 4 This is a diagram of the logistics subsystem architecture according to an embodiment of the present invention;

[0028] Figure 5 This is a schematic diagram of the production line layout according to an embodiment of the present invention;

[0029] Figure 6 This is another structural block diagram of a flexible whole-machine debugging and planning system provided in an embodiment of the present invention;

[0030] Figure 7 This is an architecture diagram of the exception handling subsystem in an embodiment of the present invention. Detailed Implementation

[0031] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, unless otherwise specified, the following embodiments and features described therein can be combined with each other.

[0032] Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] Due to differences in the optimal kitting quantities for each commissioning step, the current MES system is unsuitable for managing the commissioning tasks of integrated aviation equipment. The current model is entirely manual, resulting in low efficiency. The original commissioning process relied on editing commissioning process documents using software like Kaimu or relatively advanced digital process management software (MPM) to generate process cards for commissioning personnel. This approach is no longer suitable for the human-machine combination in flexible digital whole-machine commissioning production lines.

[0034] To address the aforementioned technical problems, the following embodiments of a flexible whole-machine debugging and planning system of the present invention are proposed.

[0035] Reference Figure 1 ,like Figure 1 The diagram shown is a structural block diagram of the flexible whole-machine debugging and testing planning system provided in this embodiment. This planning system specifically includes a task subsystem, a process subsystem, a testing subsystem, and a logistics subsystem. The process subsystem outputs the debugging process, including the process route and working hours, for the task subsystem to use in work order production scheduling. The process subsystem outputs the debugging sequence for the testing subsystem to use for product function and performance testing. The process subsystem outputs the process route for the logistics subsystem to realize material transportation between various areas and testing stations. Through the design of the above subsystems, a flexible whole-machine debugging and testing planning system is obtained, which is used to realize the flexible whole-machine debugging and testing production line process design.

[0036] Reference Figure 2 ,like Figure 2The diagram shown is the architecture of the task subsystem in this embodiment. Based on the characteristics of integrated aviation equipment commissioning, the commissioning tasks generated on the MES are batch task orders. Commissioning execution depends on the optimal quantity attribute of each commissioning step. Due to the difference in the optimal quantity of each commissioning step, the current MES system is unsuitable for managing the execution of integrated aviation equipment commissioning tasks. The current mode is entirely manual management, which is inefficient. In this embodiment, the task module imports batch task orders generated by the MES or manually enters orders. Based on product quantity, task delivery date, and optimal quantity, it splits and adjusts orders to form a commissioning task work order resource pool. For work orders in the resource pool, a production schedule is generated based on factors such as commissioning steps, production station idle status, and task urgency. Simultaneously, considering the unique sampling inspection rules of integrated aviation products, the task module adds a sampling inspection ratio attribute, automatically completing the sampling work order extraction and step matching based on the number of work order resource pool items. According to the requirements of the aviation integrated product specifications, if the sampling ratio is 1 in 6, that is, when the production quantity reaches 6 sets, 1 set is randomly selected for a specific debugging step. The task module automatically selects 1 set and matches the process route of the specific debugging step based on the number of work order resource pools and debugging processes of the product.

[0037] Specifically, the task work order resource pool for this application is formed as follows:

[0038] The task input order includes attributes such as order number, order type, product quantity, product number, optimal set quantity, and task delivery date. The order is automatically split into work orders based on the optimal set quantity. For orders with a quantity less than or equal to the optimal set quantity, other orders are adjusted and merged based on the task delivery date order. Table 1 shows task input orders A, B, C, and D from the MES system or manually entered. The work order resource pool formed by the system is shown in Table 2.

[0039] A MES 9 A.1~A.9 2 2023.04.25 B MES 9 B.1~B.9 2 2023.05.10 C Manual 4 C.1~C.4 2 2023.04.30 D MES 3 D.1~D.3 2 2023.05.05

[0040] Table 1 Task Input Orders

[0041]

[0042]

[0043] Table 2 Work Order Resource Pool

[0044] The specific production scheduling plan in this embodiment is as follows:

[0045] The process route in the product debugging process specifies the binding relationship between debugging steps and production stations, and also specifies the corresponding working hours for completing each debugging step. The urgency of the task is inherited from the work order definition and can be manually adjusted. For example, the relationship between debugging steps, working hours, and production stations for a certain type of product is shown in Tables 3 and 4. The urgency of work orders GD0009, GD0010, GD0011, and GD0012 decreases sequentially. At time T0, these three work orders are launched. Based on the rules of prioritizing higher urgency and available work stations, the system outputs the following production schedule: Figure 3 As shown.

[0046]

[0047] Table 3. Relationship between work order, work step, and work hour

[0048]

[0049] Table 4. Relationship between Work Steps and Workstations

[0050] This embodiment shifts the focus from manual labor in the industry to a combination of humans and machines. The original debugging process, which involved editing debugging process documents using software like Kaimu or relatively advanced digital process management software (MPM) and generating process cards for debugging personnel, is no longer suitable for the human-machine combination in flexible digital whole-machine debugging production lines. Furthermore, the debugging tasks for integrated aerospace equipment were previously driven by humans, with project managers and production line leaders initiating the tasks based on work reports. In this embodiment, the process module drives production debugging tasks through process flow, based on the process route, debugging time, and human-machine-oriented debugging sequences. For work orders in the work order resource pool, the process module first outputs the process route and debugging time to form a production plan in the task module. Simultaneously, it outputs the corresponding human-machine-oriented debugging sequence for the product to the testing module. When the product executes a debugging step in the process route according to the production plan, the corresponding workstation automatically retrieves the appropriate debugging sequence to perform the test. After testing, the process automatically flows to the next process step, thus driving the debugging task. The commissioning process has evolved from a simple text description into a combination of process routes, human-machine testing procedures, and a visual UI interface adapted to flexible digital whole-machine commissioning production lines.

[0051] Due to the diverse models, lack of standardized interfaces, and numerous functional / performance indicators of integrated aviation equipment, the current testing mode in the industry is mainly manual testing. A small number of products have implemented instrument-controlled testing. However, the testing module in this embodiment is based on the ATML platform to develop an automatic test sequence. It integrates the test interface and driver of the equipment under test. Its main functions include automatically sending test instructions to the equipment under test according to a predefined test indicator sequence and feeding back the test results. The test indicators are editable, the test process is manageable, and the test results are traceable.

[0052] For example, regarding the transmission power specification of a certain type of product's communication function, after the test command is initiated, the test program first initializes the power meter, then drives the power meter to set parameters such as test mode, transmission frequency, and bandwidth. Next, it controls the product test control software, sets relevant control parameters such as product working mode, working channel, and squelch level, and assigns values ​​to the product's transmission control parameters to put the product into the transmission state. Finally, it reads the power meter's power value, records it, and feeds back the test results.

[0053] This embodiment achieves fully automated execution of the product testing process through production line control and flexible digital debugging technology. It automatically matches the corresponding process documents based on the scanned product QR code, realizing the binding of process route, debugging sequence, and working hours. After the test is completed, the test record report is automatically generated based on the scanned product information and the test results fed back by the debugging sequence, changing the original manual recording mode.

[0054] Reference Figure 4 ,like Figure 4 The diagram shown is the architecture of the logistics subsystem in this embodiment. Current mature intelligent logistics systems have high requirements for wireless networks, but aviation integrated equipment testing workshops are all important and confidential locations. Therefore, current logistics is primarily manual, supplemented by a small number of mechanical auxiliary equipment. In this embodiment, the logistics module is based on optical communication, deploying optical communication stations at key nodes such as charging points, connection points, and workbenches. Each station is connected to the communication bus via a wired connection. AGVs receive tasks (sent by the server) at the station and execute them.

[0055] Reference Figure 5 ,like Figure 5 The diagram shown is a schematic of the production line layout in this embodiment. Based on the integrated assembly and testing process and production line layout in aviation, the logistics section mainly realizes the logistics transportation between the material warehouse, testing preparation area, turnover area, testing area and testing station. The path planning and scheduling command control of regional logistics are realized through the AGV scheduling system and optical communication station.

[0056] As one implementation method, this embodiment also provides another flexible whole-machine debugging and planning system, referring to... Figure 6 ,like Figure 6The diagram shown is a structural block diagram of another flexible whole machine commissioning and planning system provided in this embodiment. In addition to the task subsystem, process subsystem, testing subsystem and logistics subsystem, the system also includes an anomaly handling subsystem.

[0057] Reference Figure 7 ,like Figure 7 The diagram shown is the architecture of the anomaly handling subsystem in this embodiment. Due to the limitations of the manual commissioning mode in the aviation integrated equipment commissioning industry, when anomalies occur during the commissioning process, front-line personnel report the faults, and technicians investigate the anomalies. When the commissioning production line is automated, this mode is obviously no longer applicable. The anomaly handling module in this embodiment is mainly based on the commissioning sequence, audible and visual alarm devices, and production line on-duty technicians. After the product is put into operation, it is tested according to the requirements of the commissioning sequence. When the test results do not meet the requirements of the commissioning sequence, the audible and visual alarm device is triggered. After receiving the audible and visual alarm information, the on-duty technicians handle the anomaly. If the investigation is completed within the specified time, the testing continues; otherwise, the product is taken offline for professional investigation.

[0058] For example, a certain product requires testing the sensitivity index of its communication function reception. The index requires a test result of ≤-99dBm, while the actual test value is -95dBm. The test sequence determines the test result as unqualified based on the actual test value. When the data acquisition terminal collects the unqualified information, it generates an audible and visual alarm signal, thereby triggering the audible and visual alarm device and completing the reporting of the abnormal test status.

[0059] The following example illustrates how to use this system to design production line processes:

[0060] ①Task Subsystem:

[0061] Step 1: Import orders from the MES system or enter them manually.

[0062] Step 2: Split orders based on product quantity, task delivery date, and optimal batch quantity to form a work order resource pool.

[0063] Step 3: Select work orders according to the sampling inspection rules and execute specific debugging steps.

[0064] Step 4: Generate a scheduling plan based on factors such as debugging process, production station idle status, and task urgency.

[0065] ② Process subsystem:

[0066] Step 1: Process engineers develop process routes based on product specifications.

[0067] Step 2: Configure the time for the debugging steps in the process route.

[0068] Step 3: Configure the debugging steps and completion stations in the process route.

[0069] Step 4: Configure the start and end points of the debugging steps in the process route.

[0070] Step 5: Configure the test sequence.

[0071] ③ Testing Subsystem:

[0072] Step 1: Download the test sequence from the process subsystem, start the test sequence test program, the test program will automatically recognize the downloaded test sequence and display it by default in the test project.

[0073] Step 2: Execute the test according to the configured test sequence and the test results of a certain test sequence are displayed on the test results page.

[0074] Step 3: Save the test results and query the test details of a specific indicator as needed. Test reports can also be generated automatically.

[0075] ④ Logistics Subsystem:

[0076] Step 1: Obtain the logistics scheduling plan from the process subsystem.

[0077] Step 2: Distribute the logistics tasks to the task distribution stations according to the obtained scheduling plan.

[0078] Step 3: The task robot vehicle obtains task information from the task distribution station and performs logistics operations.

[0079] Step 4: Record information such as the execution status and completion time of logistics operations.

[0080] The flexible whole-machine commissioning and testing planning system provided in this embodiment solves the problem of manual management of commissioning and testing tasks in the industry, and provides a task execution mode that combines the production characteristics of integrated aviation equipment commissioning and testing with user inspection and sampling requirements, realizing automated and information-based task management.

[0081] This embodiment provides a flexible digital commissioning process design method oriented towards human-machine interaction, which breaks through the inherent manual commissioning production mode in the industry, realizes the transformation to process-driven and automated execution, improves production efficiency, and frees up human resources.

[0082] The flexible whole-machine commissioning and testing planning system provided in this embodiment solves the problem of fully automated testing in the industry. It provides a mode that combines process route, commissioning and testing time, and commissioning and testing sequence. At the same time, it automatically generates test reports based on test feedback results, which greatly improves testing efficiency.

[0083] The flexible whole-machine commissioning and testing planning system provided in this embodiment solves the problem of intelligent logistics transportation in the commissioning and testing workshop of integrated aviation equipment. Based on optical communication mode and mature intelligent logistics design, it reduces the demand of intelligent logistics system on wireless network, realizes the intelligent and information-based transformation of integrated aviation equipment commissioning and testing logistics, and improves the logistics efficiency of the commissioning and testing process.

[0084] The flexible whole-machine commissioning and planning system provided in this embodiment solves the problem of the industry's all-manual execution mode for handling anomalies. Based on automatic commissioning sequences and audible and visual alarm devices, it realizes automatic reporting of product indicator anomalies, freeing up human resource costs and improving product quality reliability.

[0085] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A flexible whole-machine debugging and planning system, characterized in that, The system includes: The process subsystem outputs the debugging process to the task subsystem for work order production scheduling, outputs the debugging sequence to the test subsystem to drive the debugging task, and outputs the logistics scheduling plan to the logistics subsystem for logistics scheduling. The debugging process includes the process route and working hours. The task subsystem is used to acquire batch task orders, split and adjust the orders based on product quantity, task delivery date, and optimal set quantity to form a debugging task work order resource pool. The task work order resource pool is used to generate a production schedule based on the task attributes of the work orders. The task attributes include debugging steps, production station idle status, and task urgency. The testing subsystem is used to receive the debugging sequence output by the process subsystem to complete product testing. The testing subsystem integrates the test interface and driver of the equipment under test, automatically sends test instructions to the equipment under test according to the preset test index sequence, and feeds back the test results. The logistics subsystem obtains the logistics scheduling plan from the process subsystem and then executes logistics operations according to the scheduling plan. The logistics subsystem includes task execution robots and task distribution stations. The logistics subsystem realizes logistics transportation between material warehouses, commissioning and preparation areas, turnover areas, testing areas and testing stations. The task subsystem is used to acquire batch task orders, split and adjust orders based on product quantity, task delivery date, and optimal kit quantity, forming a testing task work order resource pool. For the work orders in the task work order resource pool, a production schedule is generated based on the task attributes of the work orders, including: Enter the order, including order number, order type, product quantity, product number, optimal quantity, and task delivery date; the order will be automatically split into work orders based on the optimal quantity, and orders with a quantity less than or equal to the optimal quantity will be adjusted and merged based on the task delivery date order; The process route in the product debugging process defines the binding relationship between debugging steps and production stations, and gives the corresponding working hours for completing the debugging steps. The urgency of the task is inherited from the work order definition.

2. The flexible whole-machine debugging and planning system as described in claim 1, characterized in that, The commissioning and testing planning system also includes an anomaly handling subsystem, which triggers an alarm when the test result does not meet the requirements of the commissioning and testing sequence during the testing of the product under test in accordance with the requirements of the commissioning and testing sequence.

3. The flexible whole-machine debugging and planning system as described in claim 1, characterized in that, The task subsystem is also set with a sampling ratio, which automatically completes the sampling of work orders and the matching of work steps based on the number of work orders in the work order resource pool.

4. The flexible whole-machine debugging and planning system as described in claim 1, characterized in that, The task execution vehicle includes an automated guided vehicle, and the task distribution station includes an optical communication station. The optical communication station is deployed at the task distribution node, which includes a charging point, a connection point, and a workbench. The automated guided vehicle picks up the task received by the optical communication station at the optical communication station and executes it.

5. The flexible whole-machine debugging and planning system as described in claim 4, characterized in that, The optical communication station connects to the communication bus and receives tasks from the server.

6. The flexible whole-machine debugging and planning system as described in claim 1, characterized in that, The path planning and scheduling command control of the task execution robot are realized through the scheduling system and task issuance station.

7. The flexible whole-machine debugging and planning system as described in claim 1, characterized in that, The testing subsystem matches the corresponding process document based on the scanned product identification mark, thereby binding the process route, debugging sequence, and working hours.

8. The flexible whole-machine debugging and planning system as described in claim 7, characterized in that, After completing the test, the testing subsystem generates and stores a test record report based on the scanned product information and the test results fed back from the debugging sequence.

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