Debugging method, debugging device, equipment and medium for engineering machinery

Abstract

The invention discloses a debugging method, a debugging device, equipment and a medium for engineering machinery, and the method comprises the steps that a target process route corresponding to the type of the engineering machinery is determined in a plurality of preset process routes, the process route is composed of a plurality of process nodes, and each process node comprises a debugging subject and tool information; based on a preset sequence of the plurality of process nodes, debugging the engineering machinery by using the debugging subjects and the tool information corresponding to the process nodes in sequence to obtain a debugging result; and uploading the debugging result to a quality management platform. According to the invention, automatic management and control of the debugging process of the engineering machinery can be realized.

Description

Technical Field

[0001] This application relates to the field of mechanical debugging and testing technology, specifically to a debugging method, debugging device, equipment and medium for engineering machinery. Background Technology

[0002] In the field of engineering machinery commissioning and testing, traditional commissioning methods are primarily manual, relying on manual recording and subjective judgment, resulting in a significant lack of intelligent features. On the one hand, manual operation easily leads to omissions or errors in commissioning procedures, data distortion or even falsification, and inaccurate recording of key parameters, making it difficult to trace quality responsibility. On the other hand, the automation rate and quality accuracy of the commissioning process are low, abnormal problems cannot be managed in a closed loop, the backend cannot obtain real-time on-site status, and information transmission is prone to loss and distortion. Existing technologies have not achieved integrated digital commissioning, cloud-edge collaboration, and process control management; the entire commissioning process lacks digital interconnection and information exchange. Therefore, there is an urgent need for a commissioning method to address the lack of intelligent features in the manual mode and achieve automated control of the commissioning process. Summary of the Invention

[0003] The purpose of this application is to provide a debugging method, debugging device, equipment and medium for engineering machinery, so as to solve the problem that the traditional debugging mode of engineering machinery in the prior art cannot achieve automated control of the debugging process.

[0004] In a first aspect, embodiments of this application provide a debugging method for engineering machinery, the method comprising: Among the multiple preset process routes, a target process route corresponding to the type of engineering machinery is determined. The process route consists of multiple process nodes, and each process node includes debugging items and tooling information. Based on the preset sequence of multiple process nodes, the engineering machinery is debugged by sequentially using the debugging items and tooling information corresponding to the process nodes, and the debugging results are obtained. Upload the debugging results to the quality management platform.

[0005] In this embodiment of the application, before determining the target process route corresponding to the type of engineering machinery from a plurality of preset process routes, the method further includes: Construct multiple process routes, each corresponding to at least one type of engineering machinery; For any process route among multiple process routes, configure the number of process nodes included in any process route, the debugging items, tooling information, and execution order between process nodes for each process node.

[0006] In this embodiment, based on a preset sequence of multiple process nodes, the engineering machinery is debugged sequentially using the debugging items and tooling information corresponding to the process nodes to obtain debugging results, including: For any one of multiple process nodes, the tooling equipment is determined using the tooling information corresponding to that process node. Using tooling equipment, the construction machinery is debugged based on the debugging subjects, and the real-time parameters of the construction machinery during the execution of the debugging subjects are obtained; Based on real-time parameters and preset judgment criteria, the debugging items are evaluated to obtain the debugging results of any process node.

[0007] In this embodiment of the application, the debugging items are evaluated based on real-time parameters and preset judgment criteria to obtain the debugging result of any process node, including: When the debugging item is an item that can be automatically judged, the real-time parameters are compared with the preset qualification conditions. When the real-time parameters meet the qualification conditions, the debugging item is judged to be qualified, and the debugging result is obtained. When debugging projects that require manual evaluation, image data of the debugging process is collected and uploaded to the review platform for manual review to obtain the debugging results.

[0008] In this embodiment of the application, the method further includes: In the event of a debugging failure during the debugging process, the level of the debugging failure is determined based on the preset failure level classification rules; The response process corresponds to the level of the triggering and debugging fault. The response process includes generating an exception handling work order, pushing the exception handling work order to the terminal of the corresponding responsible person, and recording the exception handling process of the exception handling work order.

[0009] In this embodiment of the application, the method further includes: Obtain information on the commissioning personnel corresponding to the construction machinery during the commissioning process, as well as the fuel usage information of the construction machinery; The information of the commissioning personnel and fuel usage information are stored together.

[0010] In this embodiment of the application, before determining the target process route corresponding to the type of engineering machinery from a plurality of preset process routes, the method further includes: Receive production work order information sent by the production platform. The production work order information includes the engineering machinery to be debugged. Among several preset process routes, a target process route corresponding to the type of engineering machinery is determined, including: Based on production work order information, a target process route corresponding to the type of engineering machinery to be debugged is determined from multiple preset process routes. After uploading the debugging results to the quality management platform, the method also includes: Synchronize the debugging results to the production platform.

[0011] Secondly, embodiments of this application provide a debugging device for engineering machinery, the debugging device comprising: The first determining module is used to determine the target process route corresponding to the type of engineering machinery from a set of preset process routes. The process route consists of multiple process nodes, and each process node includes debugging items and tooling information. The debugging module is used to debug the construction machinery based on a preset sequence of multiple process nodes, using the debugging items and tooling information corresponding to the process nodes in sequence, and to obtain the debugging results. The upload module is used to upload debugging results to the quality management platform.

[0012] Thirdly, embodiments of this application provide an electronic device, which includes: a processor and a memory storing computer program instructions; When the processor executes computer program instructions, it implements a debugging method for engineering machinery, as described in any of the first aspects.

[0013] Fourthly, embodiments of this application provide a machine-readable storage medium storing instructions for causing a machine to execute a debugging method for engineering machinery according to the first aspect.

[0014] The technical solution provided in this application can determine the corresponding target process route based on the type of engineering machinery. By using the debugging items and tooling information of multiple process nodes in the process route, the debugging process can be standardized and automated, solving the problem of reliance on subjective judgment in the traditional manual debugging mode and avoiding omissions, errors, and data distortion. Debugging is performed sequentially according to the preset order of process nodes, and the results are uploaded to the quality management platform. This enables digital interconnection and information exchange throughout the entire debugging process, improving the automation rate and quality accuracy of the debugging process. The backend can obtain the on-site status in real time, achieving automated control of the debugging process.

[0015] Other features and advantages of the embodiments of this application will be described in detail in the following detailed description section. Attached Figure Description

[0016] The accompanying drawings are provided to further illustrate the embodiments of this application and form part of the specification. They are used together with the following detailed description to explain the embodiments of this application, but do not constitute a limitation on the embodiments of this application. In the drawings: Figure 1 The illustration schematically shows a flowchart of a debugging method for engineering machinery according to an embodiment of this application; Figure 2 The diagram illustrates the construction of a process route according to an embodiment of this application. Figure 3The schematic diagram illustrates a flowchart of the debugging process according to an embodiment of this application; Figure 4 This illustration schematically shows an exception handling process according to an embodiment of the present application; Figure 5 This illustration schematically shows the interaction between a digital debugging system and a production execution system according to an embodiment of this application; Figure 6 The illustration shows an overall flow diagram of a debugging method for engineering machinery according to an embodiment of this application; Figure 7 The illustration shows a schematic diagram of a debugging device for engineering machinery according to an embodiment of this application; Figure 8 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for illustration and explanation of the embodiments of this application and are not intended to limit the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0018] It should be noted that the acquisition, transmission, storage, use, and processing of data in the technical solution of this application all comply with the relevant provisions of national laws and regulations. In the embodiments of this application, certain existing industry solutions such as software, components, and models may be mentioned. These should be considered exemplary, intended only to illustrate the feasibility of implementing the technical solution of this application, and do not imply that the applicant has already used or necessarily used such solutions.

[0019] Furthermore, if the embodiments of this application involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, features defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. If the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed in this application.

[0020] Figure 1The illustration schematically shows a flowchart of a debugging method for engineering machinery according to an embodiment of this application. Figure 1 As shown in the embodiment of this application, a debugging method for engineering machinery is provided, the method comprising: Step 101: Determine the target process route corresponding to the type of construction machinery from the multiple preset process routes. The process route consists of multiple process nodes, and each process node includes debugging items and tooling information. In this embodiment, the debugging method for construction machinery is applied to a digital debugging intelligent system. This system is a hardware and software system quality management platform that includes an industrial platform, a field terminal APP, and various edge monitoring and control devices. Construction machinery may include mechanical equipment such as crawler cranes, telescopic boom forklifts, and aerial work platforms. For clarity of explanation, this embodiment and subsequent embodiments will use crawler cranes for illustration.

[0021] The industrial platform includes modules for editing debugging subjects, editing debugging processes, importing machine parameters, real-time monitoring of the debugging process and on-site operations, troubleshooting debugging, and recording debugging hours and energy consumption.

[0022] Specifically, the debugging subject editing module is used to configure the debugging subject for each process node; The debugging process editing module is used to build process routes; The machine parameter import module is used to import the parameters to be debugged of the construction machinery when configuring the debugging subjects, so as to obtain the real-time parameters corresponding to the parameters to be debugged during the debugging process; The debugging process and on-site real-time monitoring module is used to monitor the status of the workshop used during the debugging process, thereby understanding the current working status of the debugging workshop and debugging data, improving the accuracy of debugging task arrangement and the efficiency of abnormal situation decision-making, as well as real-time monitoring of the debugging site status. It supports multi-workstation monitoring, and the monitoring content includes: debugging status, information of the vehicle being debugged, debugging team, debugging personnel information, and fault call information.

[0023] The debugging fault handling module is used to determine the level of a debugging fault based on a preset fault level classification rule when a debugging fault occurs during the debugging process; and to trigger a response process corresponding to the level of the debugging fault. The response process includes generating an exception handling work order, pushing the exception handling work order to the terminal of the corresponding responsible person, and recording the exception handling process of the exception handling work order.

[0024] The commissioning time and energy consumption recording module is used to obtain the commissioning personnel information corresponding to the construction machinery and the fuel usage information of the construction machinery during the commissioning process; and to store the commissioning personnel information and the fuel usage information in association.

[0025] The implementation process for each module is described in the following examples.

[0026] In this embodiment, a matching target process route can first be selected from multiple pre-configured process routes based on the type information of the construction machinery. These multiple process routes can constitute a process route library, where each process route defines a standardized commissioning procedure for a specific type of construction machinery.

[0027] Each process node includes specific testing items for debugging, such as electrical system inspection, overall appearance inspection, auxiliary mechanism inspection, counterweight inspection, speed inspection, boom no-load test, boom lifting test, boom disassembly, compound action debugging, GPS debugging, and other debugging services. Tooling information includes a list of equipment and tool configuration requirements needed to complete the task. During debugging, operators can use a field terminal app to scan the construction machinery's identification (such as barcodes or QR codes) or receive work order information from the production platform. This automatically matches the target process route corresponding to the type of equipment, avoiding omissions or errors caused by manual selection.

[0028] Step 102: Based on the preset sequence of multiple process nodes, the engineering machinery is debugged sequentially using the debugging items and tooling information corresponding to the process nodes to obtain the debugging results; In this embodiment, the operator, based on the sequence of work steps displayed on the on-site terminal APP, first calls the corresponding equipment according to the tooling information to perform debugging tasks on the construction machinery. During the debugging process, the system collects key parameters in real time through sensors and automatically or manually evaluates the results according to preset judgment criteria: for tasks that can be automatically judged, the system compares the real-time parameters with the qualification conditions to generate a judgment result; for tasks that require manual judgment, image / video data is collected and uploaded to the review platform. This process replaces the traditional manual subjective judgment mode, improving the accuracy of debugging data.

[0029] Step 103: Upload the debugging results to the quality management platform.

[0030] In this embodiment, after debugging is completed, the system encrypts and packages the judgment results, real-time parameters, debugging timestamps, and debugging personnel information for each process node, and uploads them to the quality management platform via the Industrial Internet. Upon receiving the data, the quality management platform synchronizes the debugging results with the production platform to update the production progress; simultaneously, it stores the data in a cloud database, forming a traceable electronic archive. Blockchain technology can be used to ensure the data's immutability and support full lifecycle quality traceability.

[0031] In this embodiment, the corresponding target process route can be determined based on the type of engineering machinery. By using the debugging items and tooling information of multiple process nodes in the process route, the debugging process can be standardized and automated, solving the problem of reliance on subjective judgment in the traditional manual debugging mode and avoiding omissions, errors, and data distortion. Debugging is performed sequentially according to the preset order of process nodes, and the results are uploaded to the quality management platform. This enables digital interconnection and information exchange throughout the entire debugging process, improving the automation rate and quality accuracy of the debugging process. The backend can obtain the on-site status in real time, achieving automated control of the debugging process.

[0032] In one embodiment of this application, before determining the target process route corresponding to the type of engineering machinery from a plurality of preset process routes, the method further includes: Construct multiple process routes, each corresponding to at least one type of engineering machinery; For any process route among multiple process routes, configure the number of process nodes included in any process route, the debugging items, tooling information, and execution order between process nodes for each process node.

[0033] In this embodiment, in addition to the debugging items and tooling information, each process node also includes workstation information, the sampling ratio of the debugging items, and the debugging judgment criteria of the debugging items. A single process is bound to multiple workstations, or multiple processes are bound to the same workstation.

[0034] like Figure 2 As shown, Figure 2 This is a schematic diagram of the process route construction. The standardized definition of the debugging process is achieved through the process route compilation module of the industrial platform. Specifically, firstly, the debugging process editing module in the system can create independent process route templates based on the debugging requirements of different types of engineering machinery (i.e., basic product information). Each template contains multiple process nodes, forming a complete debugging process chain. Then, test items (i.e., debugging subjects) are selected from the test item library, and the test item sequence and workstations are planned. Finally, the test items are configured through the debugging subject editing module and the machine parameter import module. Specifically, the sampling ratio and data source association with the Juze test equipment (i.e., tooling information) can be configured. Finally, the configured process route is published.

[0035] For example, the process route for crawler cranes can include core procedures such as "basic parameter calibration," "hydraulic system testing," and "hoisting mechanism debugging," with each procedure corresponding to a specific set of debugging items. This categorized configuration ensures that different models of construction machinery have their own dedicated debugging paths, avoiding the arbitrariness of traditional manual debugging.

[0036] In this embodiment, by pre-configuring the process route, debugging experience is solidified into a digital process, reducing manual intervention and improving the level of intelligence.

[0037] In one embodiment of this application, based on a preset sequence of multiple process nodes, the engineering machinery is debugged sequentially using the debugging items and tooling information corresponding to the process nodes to obtain debugging results, including: For any one of multiple process nodes, the tooling equipment is determined using the tooling information corresponding to that process node. Using tooling equipment, the construction machinery is debugged based on the debugging subjects, and the real-time parameters of the construction machinery during the execution of the debugging subjects are obtained; Based on real-time parameters and preset judgment criteria, the debugging items are evaluated to obtain the debugging results of any process node.

[0038] In this embodiment, precise matching of debugging equipment can be achieved by parsing the tooling information of the process node. Specifically, the system extracts a tooling list from the configuration data of the current process node, which may include equipment type, model specifications, and connection requirements. Taking the "hydraulic system pressure test" process of a crawler crane as an example, the tooling information may require the use of a YY-300 pressure sensor and its matching data acquisition module. The tooling equipment can be determined in the following way: first, query the equipment ledger of the on-site debugging station to match the required tooling; if there is no matching equipment locally, a dispatch request is sent to surrounding workstations or warehouses based on the Industrial Internet.

[0039] like Figure 3 As shown, Figure 3 This is a flowchart illustrating the debugging process. Real-time parameters can include vehicle parameters to be adjusted, index parameters, etc. The types of real-time parameters to be debugged can be obtained by decomposing the crawler crane test outline information, specifically divided into two categories. One category consists of debugging items and corresponding standard debugging parameters stored in the debugging outline, and process parameters (such as hydraulic pressure values) that the vehicle's main unit can automatically read. For these parameters, the back-end operator can set them in the system, and they can be directly obtained when debugging the above items later. The other category consists of debugging items and corresponding debugging parameters stored in the debugging outline, but the parameters need to be collected through data acquisition (such as winch speed values). For these parameters, the parameters are collected through external sensors.

[0040] Since the process node includes debugging items and corresponding judgment criteria, the real-time parameters can be judged by the preset judgment criteria to obtain the sub-debugging results of the debugging items, and then all the sub-debugging results can be summarized to obtain the debugging results of the process node.

[0041] In this embodiment, during the debugging process, the tooling equipment automatically collects data and the system makes judgments, reducing manual operation steps and thus improving debugging efficiency.

[0042] In one embodiment of this application, the debugging items are evaluated based on real-time parameters and preset judgment criteria to obtain the debugging result of any process node, including: When the debugging item is an item that can be automatically judged, the real-time parameters are compared with the preset qualification conditions. When the real-time parameters meet the qualification conditions, the debugging item is judged to be qualified, and the debugging result is obtained. When the debugging project requires manual judgment, image data of the debugging process can be collected through the debugging process and on-site real-time monitoring module, and the image data can be uploaded to the review platform for manual review to obtain the debugging results.

[0043] In this embodiment, for automatic judgment, the above-mentioned judgment criteria may include preset qualification conditions. The system can extract the preset qualification conditions of the debugging subject from the process node configuration, such as "the hydraulic system pressure needs to be stable at 25-30MPa, with a fluctuation range ≤ ±0.5MPa" and "the winch no-load speed needs to reach 1500±50r / min".

[0044] The system compares real-time parameters with the qualification criteria in real time: if the parameters remain within the qualification range and fluctuate within the threshold, the system automatically marks the subject as "qualified"; if the parameters exceed the qualification range or fluctuate abnormally, the system immediately marks them as "unqualified".

[0045] In addition, before making a judgment, the real-time data collected by the sensor can be preprocessed by filtering and noise reduction, outlier removal, etc., to ensure data accuracy.

[0046] For situations requiring manual judgment, image data includes on-site debugging images or videos. Operators use mobile terminal cameras to capture images or videos of the debugging site, such as the appearance of structural component welds, control panel button labels, and pipeline layout. This image data is then uploaded to an auditing platform for review by auditors to obtain the debugging results. Alternatively, the image data can also include characteristic images and dynamic curves of parameters during the debugging process. Uploading these characteristic images and dynamic curves to the auditing platform assists technicians and quality inspectors in quality tracking and process analysis of the debugging process, allowing them to grasp the real-time changes of the entire debugging procedure.

[0047] To improve debugging efficiency, the system can automatically add metadata such as timestamps, construction machinery identifiers, and process node numbers to the images during the image data upload process, and then upload them to the review platform via 4G / WiFi after compression.

[0048] In this embodiment, for items that can be automatically judged, real-time parameters are compared with preset qualification conditions. This avoids data distortion and inaccurate recording caused by subjective human judgment, ensuring the consistency of judgment standards and solving the quality differences caused by subjective factors in traditional manual debugging, thereby improving the accuracy of debugging quality. For items that require manual judgment, image data is collected and uploaded to the review platform for manual review. This provides objective evidence for manual judgment, reducing subjective arbitrariness. At the same time, the storage of image data enables traceability of the debugging process, facilitating the traceability of quality responsibility. Furthermore, the standardized processing of the manual review process allows for timely response and closed-loop management of abnormal issues, solving the problems of non-closed-loop management of abnormal issues and easy distortion of information transmission in existing technologies. This method combines automation and human experience, improving debugging efficiency and intelligence level while ensuring the accuracy of judgment in complex scenarios.

[0049] In one embodiment of this application, the method further includes: In the event of a debugging failure during the debugging process, the level of the debugging failure is determined based on the preset failure level classification rules; The response process corresponds to the level of the triggering and debugging fault. The response process includes generating an exception handling work order, pushing the exception handling work order to the terminal of the corresponding responsible person, and recording the exception handling process of the exception handling work order.

[0050] In this embodiment, the parameters collected by the sensors and the results of manual judgment are monitored in real time during the debugging process. When there are situations such as parameters exceeding the tolerance, equipment abnormality, or failure of manual review, the debugging fault handling module automatically triggers the fault level judgment logic and classifies the fault level according to preset rules. For example, level 1 abnormality is a minor fault that can be resolved on-site immediately, level 2 abnormality is a general fault that requires the intervention of professional personnel, and level 3 abnormality is a major fault that requires the handling of the R&D or design department.

[0051] When a malfunction occurs, a corresponding exception handling work order is generated. This work order can be filled out via the app. The exception handling work order includes required information, automatically filled information, and optional information. Required information includes a malfunction description, malfunction category, and malfunction severity. Automatically filled information includes the automatically generated fault code, the vehicle being dispatched, the subject of the malfunction, the time of the malfunction, and the person who reported the malfunction. Optional information includes: malfunction location, photos of the malfunction site, and videos of the malfunction site.

[0052] like Figure 4As shown in Figure 4, this is a schematic diagram of the exception handling process. According to the preset responsibility allocation rules (e.g., level 1 exceptions are pushed to the debugger, level 2 exceptions are pushed to the team leader, and level 3 exceptions are pushed to the R&D engineer), the work order is pushed to the corresponding personnel's mobile terminal or management platform account in real time. During the handling process, the responsible personnel upload fault investigation records, repair plans, replacement part information, etc. through the terminal. The system automatically records the handling time nodes, operation logs and final results, forming a closed-loop electronic archive of exception handling, i.e., the exception handling process.

[0053] In this embodiment, by classifying and managing faults during the debugging process, the reliability of the debugging process and the efficiency of problem solving can be significantly improved, and dynamic control of debugging quality can be achieved.

[0054] In one embodiment of this application, the method further includes: Obtain information on the commissioning personnel corresponding to the construction machinery during the commissioning process, as well as the fuel usage information of the construction machinery; The information of the commissioning personnel and fuel usage information are stored together.

[0055] In this embodiment, a time tracking submodule is set up within the debugging time and energy consumption recording module to accurately record, count, and analyze debugging personnel information such as debugging time, workload, and work efficiency during working hours.

[0056] The commissioning time and energy consumption recording module includes a fuel tracking submodule, which automatically calculates the fuel usage, refueling frequency, and average fuel consumption per hour for each piece of construction machinery during the whole vehicle commissioning process. The fuel level change curve is displayed graphically, and each curve change corresponds to the commissioning personnel information. The curve change and commissioning personnel information are linked and stored in the digital commissioning system.

[0057] In this embodiment, refined management of the commissioning process is achieved by associating and storing personnel information with fuel usage data. This clarifies personnel responsibilities and improves operational standardization, while fuel consumption monitoring optimizes cost control. Combined with timestamps, a complete traceability chain is formed, providing data support for efficiency analysis and process improvement, thus solving the problem of inefficient traditional commissioning resource management.

[0058] In one embodiment of this application, before determining the target process route corresponding to the type of engineering machinery from a plurality of preset process routes, the method further includes: Receive production work order information sent by the production platform. The production work order information includes the engineering machinery to be debugged. Among several preset process routes, a target process route corresponding to the type of engineering machinery is determined, including: Based on production work order information, a target process route corresponding to the type of engineering machinery to be debugged is determined from multiple preset process routes. After uploading the debugging results to the quality management platform, the method also includes: Synchronize the debugging results to the production platform.

[0059] In this embodiment, as Figure 5 As shown, Figure 5 This diagram illustrates the interaction between the digital commissioning system and the production execution system (MES). The digital commissioning system connects with the MES in real time via an industrial internet interface, automatically receiving production work order information from the MES. This information includes the model, serial number, configuration parameters, and production plan nodes of the engineering machinery to be commissioned, ensuring seamless integration between commissioning tasks and the production process.

[0060] Production work order information can be represented by a QR code. After receiving the production work order information, the QR code representing the production work order information can be scanned using the on-site terminal APP to obtain specific information. Then, based on the specific production work order information, the target process route corresponding to the type of engineering machinery can be matched to ensure that the debugging process and product specifications are accurately matched, avoiding errors caused by manual selection.

[0061] After debugging is completed, the management platform packages and encapsulates the debugging results according to the MES interface specification and transmits them to the production platform in real time through a security protocol. The MES updates the work order status (such as "Debugging Completed" or "Rework Required") based on the debugging results and synchronizes it to subsequent production stages, realizing full-process data interconnection.

[0062] In addition, during the debugging process, if the construction machinery completes the debugging of any process node, the completion information of that process node will be synchronized to the production platform until all process nodes are debugged.

[0063] In this embodiment, automatic matching of debugging tasks and synchronization of results are achieved through data interaction with the production platform. This ensures that the debugging process is coordinated with the production plan, avoids errors caused by human intervention, improves the interconnectivity of data throughout the entire process, solves the problems of disconnect between traditional debugging and production and information transmission distortion, and ensures the consistency of production progress and quality control.

[0064] in addition, Figure 6 A schematic diagram of the overall process of the debugging method for engineering machinery provided in an embodiment of this application is shown. The overall process is as follows: First, obtain the basic information of the construction machinery, the parameters to be measured and adjusted, as well as the real-time parameters mentioned above. At the same time, clarify the prerequisites for performing the test item. These prerequisites are all configured in the process route, including environmental conditions, tooling test system settings, equipment status, equipment posture, etc.

[0065] A single test is performed on the real-time parameters based on the data calculation formula. A single test consists of one data point or a data sequence. The test result can be judged manually, or the system can judge the result based on the judgment criteria after the test data is manually entered.

[0066] After obtaining the test results, if the result is deemed OK (meaning the test is passed), the parameters of the vehicle under test are configured, and the test item is saved to the database. If the result is deemed unsuccessful (meaning the test fails), parameter adjustments are required. Parameter adjustments can be performed manually or automatically by the system.

[0067] After adjusting the parameters, test again, repeat the above testing, judgment, and adjustment process to obtain continuous test results.

[0068] Figure 7 A schematic diagram of a debugging device for engineering machinery provided in another embodiment of this application is shown. For ease of explanation, only the parts related to the embodiments of this application are shown.

[0069] Reference Figure 7 The debugging device 700 for engineering machinery may include: The first determining module 701 is used to determine the target process route corresponding to the type of engineering machinery from a set of preset process routes. The process route consists of multiple process nodes, and each process node includes debugging items and tooling information. The debugging module 702 is used to debug the construction machinery based on a preset sequence of multiple process nodes, using the debugging items and tooling information corresponding to the process nodes in sequence, and to obtain the debugging results. Upload module 703 is used to upload debugging results to the quality management platform.

[0070] Optionally, the debugging device 700 for engineering machinery also includes: The building module is used to build multiple process routes, each of which corresponds to at least one type of engineering machinery; The configuration module is used to configure the number of process nodes included in any process route among multiple process routes, the debugging items of each process node, tooling information, and the execution order between process nodes.

[0071] Optionally, the debug module 702 includes: The first determination submodule is used to determine the tooling equipment for any one of the multiple process nodes by using the tooling information corresponding to that process node. The debugging submodule is used to debug construction machinery using tooling equipment based on debugging subjects, and to obtain real-time parameters of the construction machinery during the execution of debugging subjects. The evaluation submodule is used to evaluate the debugging items based on real-time parameters and preset judgment criteria, and obtain the debugging result of any process node.

[0072] Optionally, the evaluation submodule includes: The comparison unit is used to compare real-time parameters with preset qualification conditions when the debugging item is an automatically identifiable item. When the real-time parameters meet the qualification conditions, the debugging item is deemed qualified and the debugging result is obtained. The upload unit is used to collect image data during the debugging process when the debugging project requires manual judgment, and upload the image data to the review platform for manual review to obtain the debugging results.

[0073] Optionally, the debugging device 700 for engineering machinery also includes: The second determination module is used to determine the level of debugging faults based on preset fault level classification rules when debugging faults occur during the debugging process. The trigger module is used to trigger the response process corresponding to the level of the debugging fault. The response process includes generating an exception handling work order, pushing the exception handling work order to the terminal of the corresponding responsible person, and recording the exception handling process of the exception handling work order.

[0074] Optionally, the debugging device 700 for engineering machinery also includes: The acquisition module is used to acquire information about the commissioning personnel corresponding to the construction machinery and the fuel usage information of the construction machinery during the commissioning process; The storage module is used to associate and store information about commissioning personnel and fuel usage.

[0075] Optionally, the debugging device 700 for engineering machinery is specifically used for: Receive production work order information sent by the production platform. The production work order information includes the engineering machinery to be debugged. Debug module 702 is specifically used for: Based on production work order information, a target process route corresponding to the type of engineering machinery to be debugged is determined from multiple preset process routes. The debugging device 700 for engineering machinery is specifically used for: Synchronize the debugging results to the production platform.

[0076] Figure 8 A schematic diagram of the hardware structure of the electronic device provided in an embodiment of this application is shown.

[0077] The device may include a processor 801 and a memory 802 storing program instructions.

[0078] When processor 801 executes the program, it implements the steps in any of the above method embodiments.

[0079] For example, the program can be divided into one or more modules / units, one or more of which are stored in memory 802 and executed by processor 801 to complete this application. The one or more modules / units can be a series of program instruction segments capable of performing a specific function, which describe the execution process of the program in the device.

[0080] Specifically, the processor 801 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.

[0081] Memory 802 may include mass storage for data or instructions. For example, and not limitingly, memory 802 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 802 may include removable or non-removable (or fixed) media. Where appropriate, memory 802 may be internal or external to the integrated gateway disaster recovery device. In a particular embodiment, memory 802 is non-volatile solid-state memory.

[0082] Memory may include read-only memory (ROM), random access memory (RAM), disk storage media devices, optical storage media devices, flash memory devices, and electrical, optical, or other physical / tangible memory storage devices. Therefore, typically, memory includes one or more tangible (non-transitory) readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the methods according to one aspect of this disclosure.

[0083] The processor 801 implements any of the methods described in the above embodiments by reading and executing program instructions stored in the memory 802.

[0084] In one example, the electronic device may also include a communication interface 803 and a bus 810. The processor 801, memory 802, and communication interface 803 are connected via the bus 810 and communicate with each other.

[0085] The communication interface 803 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of this application.

[0086] Bus 810 includes hardware, software, or both, that couples components of an online data traffic metering device together. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 810 may include one or more buses. Although specific buses are described and illustrated in embodiments of this application, any suitable bus or interconnect is contemplated herein.

[0087] Furthermore, in conjunction with the methods in the above embodiments, this application embodiment can provide a storage medium for implementation. This storage medium stores program instructions; when these program instructions are executed by a processor, they implement any of the methods in the above embodiments.

[0088] This application also provides a chip, which includes a processor and a communication interface. The communication interface and the processor are coupled. The processor is used to run programs or instructions to implement the various processes of the above method embodiments and achieve the same technical effect. To avoid repetition, it will not be described again here.

[0089] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0090] This application provides a computer program product that is stored in a storage medium and executed by at least one processor to implement the various processes of the above method embodiments and achieve the same technical effects. To avoid repetition, further details are omitted here.

[0091] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.

[0092] The functional modules shown in the above block diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. Programs or code segments can be stored on machine-readable media or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable media" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer grids such as the Internet, intranets, etc.

[0093] It should also be noted that the exemplary embodiments mentioned in this application describe methods or systems based on a series of steps or apparatus. However, this application is not limited to the order of the above steps; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0094] The aspects of this disclosure have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and program products according to embodiments of this disclosure. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to create a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by special-purpose hardware performing the specified functions or actions, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0095] The above are merely specific embodiments of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application.

Claims

1. A debugging method for engineering machinery, characterized in that, The method includes: Among a number of preset process routes, a target process route corresponding to the type of engineering machinery is determined. The process route consists of multiple process nodes, and each process node includes debugging items and tooling information. Based on the preset order of the multiple process nodes, the engineering machinery is debugged sequentially using the debugging items and tooling information corresponding to the process nodes to obtain the debugging results; The debugging results were uploaded to the quality management platform.

2. The debugging method according to claim 1, characterized in that, Before determining the target process route corresponding to the type of engineering machinery from a set of preset process routes, the method further includes: Construct the multiple process routes, each process route corresponding to at least one type of engineering machinery; For any of the multiple process routes, configure the number of process nodes included in the process route, the debugging items, tooling information, and execution order between process nodes for each process node.

3. The debugging method according to claim 1, characterized in that, The process involves sequentially debugging the construction machinery based on a preset order of the multiple process nodes, utilizing the debugging items and tooling information corresponding to each process node, to obtain debugging results, including: For any one of the multiple process nodes, the tooling equipment is determined using the tooling information corresponding to that process node; Using the tooling equipment, the engineering machinery is debugged based on the debugging subjects to obtain real-time parameters of the engineering machinery during the execution of the debugging subjects; Based on the real-time parameters and preset judgment criteria, the debugging items are evaluated to obtain the debugging result of any one of the process nodes.

4. The debugging method according to claim 3, characterized in that, The process of evaluating the debugging items based on the real-time parameters and preset judgment criteria to obtain the debugging result of any process node includes: When the debugging item is an item that can be automatically determined, the real-time parameters are compared with the preset qualification conditions. When the real-time parameters meet the qualification conditions, the debugging item is determined to be qualified, and the debugging result is obtained. If the debugging project requires manual judgment, image data of the debugging process is collected and uploaded to the review platform for manual review to obtain the debugging result.

5. The debugging method according to claim 1, characterized in that, The method further includes: In the event of a debugging failure during the debugging process, the level of the debugging failure is determined based on a preset failure level classification rule; Trigger a response process corresponding to the level of the debugging fault. The response process includes generating an exception handling work order, pushing the exception handling work order to the terminal of the corresponding responsible person, and recording the exception handling process of the exception handling work order.

6. The debugging method according to claim 1, characterized in that, The method further includes: Obtain the commissioning personnel information corresponding to the construction machinery during the commissioning process, as well as the fuel usage information of the construction machinery; The debugging personnel information and the fuel usage information are stored together.

7. The debugging method according to claim 1, characterized in that, Before determining the target process route corresponding to the type of engineering machinery from a set of preset process routes, the method further includes: Receive production work order information sent by the production platform, wherein the production work order information includes the engineering machinery to be debugged; The step of determining the target process route corresponding to the type of engineering machinery from a set of preset process routes includes: Based on the production work order information, a target process route corresponding to the type of the engineering machinery to be debugged is determined from a plurality of preset process routes. After uploading the debugging results to the quality management platform, the method further includes: The debugging results are synchronized to the production platform.

8. A debugging device for engineering machinery, characterized in that, The debugging device includes: The first determining module is used to determine the target process route corresponding to the type of the engineering machinery from a set of preset process routes. The process route consists of multiple process nodes, and each process node includes debugging items and tooling information. The debugging module is used to debug the engineering machinery based on a preset order of the multiple process nodes, using the debugging items and tooling information corresponding to the process nodes in sequence, and to obtain the debugging results. The upload module is used to upload the debugging results to the quality management platform.

9. An electronic device, characterized in that, The electronic device includes: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, it implements the debugging method for engineering machinery as described in any one of claims 1-7.

10. A machine-readable storage medium, characterized in that, The machine-readable storage medium stores instructions for causing the machine to perform the commissioning method for engineering machinery according to any one of claims 1-7.

Images