Double-car dumper simulation system model building method

Abstract

The invention provides a double-car dumper simulation system model building method, and relates to the technical field of equipment simulation analysis, and the method comprises the steps: obtaining vehicle model data of a double-car dumper through a preset scanning method, obtaining structure data and operation principle data corresponding to the vehicle model data in an equipment database, and summarizing and outputting first data; selecting preset simulation software in a simulation tool library, analyzing and modeling the first data, and outputting a simulation model; configuring simulation operation parameters of the double-car dumper in the simulation model to obtain configuration parameters, operating the simulation model based on the configuration parameters, and outputting simulation analysis data; actual operation data matched with the configuration parameters are obtained from a historical database, comparison verification is conducted on the actual operation data and the simulation analysis data, and the simulation model is optimized based on a comparison analysis result. The method can help to improve the accuracy and authenticity of a simulation model, thereby improving the operation efficiency of the system, and reducing the cost and risk of an actual test.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment simulation analysis, and in particular to a method for building a model of a double-car tipping machine simulation system. Background Art

[0002] As a key equipment for loading and unloading coal from railways in thermal power plants, the efficient and stable operation of the car dumper system is crucial to the fuel supply and safe production of power plants. Although the car dumper system has basically achieved full automatic control, human intervention is still required in the event of abnormal situations. Therefore, the technical skills of the car dumper operators and maintenance personnel have an important impact on the safe operation and dumping efficiency of the car dumper.

[0003] At present, the potential problems and risks of double-car tipping machines during operation are difficult to detect. When abnormal conditions occur, there are still problems such as uneven technical levels of operators, hidden dangers in some control logics, and insufficient problem-solving capabilities of maintenance personnel, making it difficult to analyze and deal with abnormal conditions in a timely and effective manner.

[0004] Therefore, the present invention provides a method for building a double-car tipper simulation system model. Summary of the invention

[0005] The present invention provides a method for building a double-car tipper simulation system model, which realizes the simulated operation and performance analysis of the double-car tipper, and can help improve the accuracy and authenticity of the simulation model, thereby improving the efficiency of system operation and reducing the cost and risk of actual experiments.

[0006] The present invention provides a method for building a double-car tipping machine simulation system model, comprising:

[0007] Step 1: obtaining the vehicle model data of the double-vehicle tipping machine through a preset scanning method, and at the same time, obtaining the structural data and operating principle data corresponding to the vehicle model data in the equipment database, and summarizing and outputting the first data;

[0008] Step 2: Selecting preset simulation software in the simulation tool library, analyzing and modeling the first data, and outputting a simulation model;

[0009] Step 3: configuring the simulation operation parameters of the double-car tipper in the simulation model to obtain the configuration parameters, and running the simulation model based on the configuration parameters to output simulation analysis data;

[0010] Step 4: Acquire actual operation data matching the configuration parameters in a historical database, compare and verify with the simulation analysis data, and optimize the simulation model based on the comparison and analysis results.

[0011] Preferably, the method of obtaining the vehicle model data of the double-vehicle tipping machine by a preset scanning method includes:

[0012] A preset scanning method for scanning a double-car tipper is selected from a method database, and identification information and vehicle model characteristics of the double-car tipper are scanned based on the preset scanning method, and comprehensive analysis is performed to output vehicle model data.

[0013] Preferably, the step of acquiring the structural data and the operating principle data corresponding to the vehicle model data in the equipment database includes:

[0014] The external and internal structural data of the double-car tipping machine corresponding to the vehicle model data are selected from the equipment database, and the structural data are output. At the same time, the operation process and operation logic of the double-car tipping machine matching the vehicle model data are obtained, and the operation principle data are output.

[0015] Preferably, the operation process includes process data of the car tipping machine readjustment, air conditioning, car towing platform, main body and wheel clamp under each control mode.

[0016] Preferably, before the aggregating and outputting the first data, the method further includes:

[0017] The real-time environmental data of the double-car tipping machine in the real scene is acquired through a preset sensor array, and the equipment operation-environment comparison data is output in combination with the operation data of the double-car tipping machine at the same time.

[0018] Preferably, step 2 includes:

[0019] At the same time, the simulation analysis requirements of the user are obtained, and the preset simulation software is selected from the simulation tool library in combination with the tool selection instructions of the user;

[0020] The first data is input into a preset simulation software for analysis and modeling to obtain a first model, and the first model that meets preset performance conditions is output as a simulation model.

[0021] Preferably, step 3 includes:

[0022] Based on the simulation analysis requirements, determine the application scenario of the simulation model and output scenario configuration information;

[0023] At the same time, based on the simulation analysis requirements, the initial operating parameters and simulated environmental parameters of the double-car tipping machine in the simulation analysis model are determined, and the operating parameter configuration information and the environmental parameter configuration information are output respectively;

[0024] Summarize the scene configuration information, operation parameter configuration information and environment parameter configuration information, and output initial configuration data;

[0025] Input the initial configuration data into the simulation model and run it to obtain the simulation analysis results within a preset time period, and at the same time, obtain the process data of the double-car tipping machine during the operation of the simulation model and output the simulation analysis process data;

[0026] Based on the initial configuration data, simulation analysis results and simulation analysis process data, and in combination with a preset animation presentation component in the simulation model, output a process animation of the double-car tipping machine during operation of the simulation model;

[0027] Extracting features from the simulation analysis results and the simulation process data, performing feature matching on the extracted features in combination with a preset abnormal feature library, and summarizing the features that meet the preset matching conditions to output a second feature set;

[0028] In combination with a preset feature-state mapping table, identifying and determining the abnormal operating state of the double-car tipping machine corresponding to the second feature set, and outputting a state analysis table;

[0029] Identify and extract keywords in the state analysis table, and select disposal strategies and disposal methods corresponding to each abnormal operation state in the state analysis table from the strategy method database in combination with a preset keyword-strategy comparison table, and output a state-strategy-method comparison table;

[0030] Based on the state-strategy-method comparison table, each abnormal operating state of the double-car tipping machine is handled, and the handling process of the abnormal operating state is analyzed in combination with preset effect analysis indicators, and the abnormal handling effect analysis result is output.

[0031] Preferably, step 4 includes:

[0032] Selecting historical data matching the first data from a historical database, and outputting historical data whose similarity to the first data is greater than a first preset degree as primary reference data, and outputting historical data whose similarity to the first data is less than the first preset degree and greater than a second preset degree as secondary reference data;

[0033] Compare and verify the primary reference data and the secondary reference data with the first data respectively, and output comparison and verification results;

[0034] At the same time, combined with the preset optimization indicators selected from the indicator database, the comparison and verification results are optimized and analyzed, and the optimization analysis results are output, wherein the optimization analysis results include model parameter optimization, operation process optimization, personnel operation optimization, control logic optimization and environmental parameter optimization;

[0035] Based on the optimization analysis results, a matching optimization strategy and method are selected from a strategy and method database, and based on the optimization strategy and method, simulation model parameters and the operation process, personnel operation, control logic and environmental parameters of the double-car tipping machine are optimized, and at the same time, an optimization log is output;

[0036] Based on the optimization log and in combination with the optimization strategy and method, the simulation model parameters, the personnel operation manual, and the operation process, control logic and environmental parameters of the double-car tipping machine are adjusted.

[0037] The present invention provides a method for building a simulation system model of a double-car tipper. The present invention first obtains vehicle model data through a preset scanning method, and combines the structural data and operating principle data in the equipment database to summarize and output the first data. Subsequently, appropriate simulation software is selected in the simulation tool library to analyze and model the first data to generate a simulation model. Then, the simulation operation parameters of the double-car tipper in the simulation model are configured to obtain the configuration parameters, and the simulation model is run to output simulation analysis data. Finally, the actual operation data is obtained from the historical database, and compared and verified with the simulation analysis data, and the simulation model is optimized through the comparison and analysis results to improve its accuracy and reliability. The present invention realizes the simulation operation and performance analysis of the double-car tipper through the establishment and operation of the simulation model, combined with the comparison and verification of the actual operation data, which can help improve the accuracy and authenticity of the simulation model, thereby improving the efficiency of the system operation, reducing the cost and risk of the actual test, and providing reliable support for the optimization of the double-car tipper. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the present invention or 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 some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 It is a flow chart of a method for building a double-car tipping machine simulation system model provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] like Figure 1 As shown, the method for building a double-car tipping machine simulation system model provided by an embodiment of the present invention includes:

[0042] Step 1: Obtain the vehicle model data of the double-vehicle tipping machine through a preset scanning method, and at the same time, obtain the structural data and operating principle data corresponding to the vehicle model data in the equipment database, and summarize and output the first data;

[0043] Step 2: Selecting preset simulation software in the simulation tool library, analyzing and modeling the first data, and outputting a simulation model;

[0044] Step 3: configuring the simulation operation parameters of the double-car tipping machine in the simulation model to obtain the configuration parameters, running the simulation model based on the configuration parameters, and outputting simulation analysis data;

[0045] Step 4: Obtain actual operation data that matches the configuration parameters in the historical database, compare and verify it with the simulation analysis data, and optimize the simulation model based on the comparative analysis results.

[0046] In this embodiment, the preset scanning method: a preset method for obtaining vehicle model data of a double vehicle tipper;

[0047] In this embodiment, vehicle model data: describes the characteristics and specification data of the double vehicle tipping machine, such as size, weight, structure, etc.;

[0048] In this embodiment, the device database: a database storing various device-related data, including structure data and operation principle data;

[0049] In this embodiment, structural data: data describing the internal structure, components and constituent elements of the double-car tipper;

[0050] In this embodiment, the operating principle data: data describing the operating principle, working mode and related parameters of the double-car tipping machine;

[0051] In this embodiment, the first data is: output by summarizing the acquired vehicle model data, structure data and operation principle data;

[0052] In this embodiment, the simulation tool library: a library storing various simulation software and tools;

[0053] In this embodiment, the preset simulation software: pre-selected software for modeling and simulation, such as WINCC and Unitypro;

[0054] In this embodiment, the simulation model: a virtual model of a double-car tipper established based on the first data, used to simulate its operation and behavior, for example, a simulation model of an encoder, an eight-meter axle, etc.;

[0055] In this embodiment, simulation operation parameters: parameters used to configure the simulation model to simulate the operation of the double-car tipper, including equipment operation parameters and personnel operation data;

[0056] In this embodiment, configuration parameters: specific parameter values ​​set according to simulation operation parameters;

[0057] In this embodiment, simulation analysis data: data generated after the simulation model runs, used to analyze the performance and behavior of the double-car tipper;

[0058] In this embodiment, the historical database is a database that stores past actual operation data;

[0059] In this embodiment, actual operation data refers to data collected during the actual operation of the double-car tipping machine, which is used for comparison and verification with the simulation analysis data.

[0060] The implementation principle and beneficial effects of this embodiment: The present invention first obtains vehicle model data through a preset scanning method, and combines the structural data and operating principle data in the equipment database to summarize and output the first data. Subsequently, appropriate simulation software is selected in the simulation tool library to analyze and model the first data to generate a simulation model. Then, the simulation operation parameters of the double-car tipping machine in the simulation model are configured to obtain the configuration parameters, and the simulation model is run to output simulation analysis data. Finally, the actual operation data is obtained from the historical database, and compared and verified with the simulation analysis data. The simulation model is optimized through the comparative analysis results to improve its accuracy and reliability. The present invention realizes the simulated operation and performance of the double-car tipping machine through the establishment and operation of the simulation model, combined with the comparative verification of the actual operation data, which can help improve the accuracy and authenticity of the simulation model, thereby improving the efficiency of the system operation, reducing the cost and risk of actual experiments, and providing reliable support for the optimization of the double-car tipping machine.

[0061] The method for building a double-car tipping machine simulation system model provided by an embodiment of the present invention obtains the vehicle model data of the double-car tipping machine through a preset scanning method, including:

[0062] A preset scanning method for scanning a double-car tipper is selected from a method database, and identification information and vehicle model characteristics of the double-car tipper are scanned based on the preset scanning method, and comprehensive analysis is performed to output vehicle model data.

[0063] In this embodiment, the method database: a database storing various preset scanning methods for scanning a double-car tipper;

[0064] In this embodiment, identification information: unique identification or recognition information about the double-car tipper, which can be used to distinguish different models or equipment, such as the serial number and manufacturer information of the double-car tipper;

[0065] In this embodiment, vehicle type characteristics: data describing the characteristics or features of the double vehicle tipper, such as size, weight, function, etc.

[0066] The implementation principle and beneficial effects of this embodiment: The present invention uses the preset scanning method in the method database to scan the double-car tipper, extracts identification information and vehicle model characteristics, and outputs vehicle model data after comprehensive analysis. The present invention can effectively obtain the vehicle model data of the double-car tipper, provide an accurate basis for subsequent simulation model construction and performance analysis, save time and cost, improve the efficiency and accuracy of model establishment, and provide reliable support for the optimization of the double-car tipper.

[0067] The method for building a model of a double-car tipper simulation system provided by an embodiment of the present invention obtains structural data and operating principle data corresponding to vehicle model data in a device database, including:

[0068] The external and internal structural data of the double-car tipping machine corresponding to the vehicle model data are selected in the equipment database, and the structural data are output. At the same time, the operation process and operation logic of the double-car tipping machine matching the vehicle model data are obtained, and the operation principle data are output.

[0069] In this embodiment, external and internal structure data: detailed data of the external and internal structure of the double car tipper, including the position, connection method, material, etc. of each component, for example, the steel structure frame, hydraulic cylinder position, sensor arrangement, etc. of the double car tipper;

[0070] In this embodiment, the operation process: the operation process and steps of the double-car tipper in actual work, covering the work process from start to finish, for example, the operation process of lifting, rotating, placing, etc. of the double-car tipper;

[0071] In this embodiment, the operating logic: the operating logic and control principle of the double-car tipping machine when working, including sensor feedback, control system, etc. For example, the double-car tipping machine adjusts the control logic of lifting speed, rotation angle, etc. according to sensor feedback.

[0072] The implementation principle and beneficial effects of this embodiment: By acquiring structural data and operating principle data from the equipment database, the present invention can gain an in-depth understanding of the internal structure and working principle of the double-car tipping machine. These data are essential for establishing an accurate simulation model and simulating the actual operation process. By acquiring external and internal structural data and operating principle data, the present invention can more comprehensively understand the structure and operation mode of the double-car tipping machine, which helps to establish a more realistic and accurate simulation model, improve the accuracy and reliability of the simulation system, and provide more powerful support for system optimization.

[0073] The embodiment of the present invention provides a double-car tipper simulation system model building method and an operation process, including process data of the tipper readjustment, air conditioning, towing platform, main body, and wheel clamp under various control modes.

[0074] In this embodiment, the tipper re-adjustment: the process of re-adjusting or re-setting the double-car tipper to ensure its normal operation, for example, recalibrating the horizontal position and angle of the double-car tipper;

[0075] In this embodiment, air conditioning: the process of handling the empty state or no-load state of the double-car tipping machine during operation;

[0076] In this embodiment, the vehicle pulling platform: a platform or device used by the double vehicle tipper to pull or move vehicles, which performs different operations in different control modes;

[0077] In this embodiment, body: the main part of the double-car tipper, including the fuselage structure and main functional components;

[0078] In this embodiment, wheel clamp: a device used to clamp or fix objects on a double car dumper to ensure safety and stability;

[0079] In this embodiment, control mode: describes the control method or mode of the double-car tipper in different operating states, including system local control, interlocking manual control, and full-automatic control mode.

[0080] The implementation principle and beneficial effects of this embodiment: The present invention can ensure a clear understanding of the various operating modes of the double-car tipping machine by describing in detail the operating process of the tipping machine under different control modes, and provide basic data for the establishment of simulation models and performance analysis. The present invention can help optimize the operating process of the double-car tipping machine, improve efficiency and safety, provide more comprehensive support for system optimization, and ensure that the double-car tipping machine can operate stably and reliably in various working modes by describing the data under different control modes in the operating process.

[0081] The method for building a model of a double-car tipping machine simulation system provided by an embodiment of the present invention further includes, before aggregating and outputting the first data:

[0082] The real-time environmental data of the double-car tipping machine in the real scene is acquired through a preset sensor array, and the equipment operation-environment comparison data is output in combination with the operation data of the double-car tipping machine at the same time.

[0083] In this embodiment, the preset sensor array: a preset sensor combination is used to collect various data of the double-car tipper in real-life scenarios;

[0084] In this embodiment, the real scene refers to the specific scene or position of the double-car tipper in the actual operating environment, including surrounding objects, terrain, etc., for example, a scene in which the double-car tipper is loading and unloading cargo on a construction site;

[0085] In this embodiment, real-time environmental data: various data collected in real time by the double-car tipping machine in real scenes obtained by a preset sensor array, such as temperature, humidity, pressure, position, etc.;

[0086] In this embodiment, the equipment operation-environment comparison data: the operation data of the double-car tipping machine at the same time is compared and analyzed with the real-time environmental data to obtain the correlation data between the equipment operation status and environmental factors.

[0087] The implementation principle and beneficial effects of this embodiment: The present invention obtains real-time environmental data through a preset sensor array, which can more accurately simulate the operation of the double-car tipping machine in different environments, and compares and analyzes the equipment operation data with the environmental data, which helps to understand the performance of the equipment under different environmental conditions. By obtaining real-time environmental data and comparing it with the equipment operation data, the present invention can help optimize the operation strategy of the double-car tipping machine, improve its ability to adapt to different environmental conditions, increase the accuracy of the simulation model, and provide a more reliable basis for system optimization.

[0088] The method for building a model of a double-car tipping machine simulation system provided by an embodiment of the present invention, in step 2, comprises:

[0089] At the same time, the simulation analysis requirements of the user are obtained, and the preset simulation software is selected from the simulation tool library in combination with the tool selection instructions of the user;

[0090] The first data is input into a preset simulation software for analysis and modeling to obtain a first model, and the first model that meets the preset performance conditions is output as a simulation model.

[0091] In this embodiment, simulation analysis requirements: the user's simulation analysis requirements for a double-car tipper, including the information and objectives that the user expects to obtain from the simulation model;

[0092] In this embodiment, the tool selection instruction: according to the user's needs, select appropriate preset simulation software in the simulation tool library to perform subsequent data analysis and modeling work;

[0093] In this embodiment, the first model: an initial simulation model formed according to the results obtained from the first round of analysis and modeling, which is used for subsequent performance evaluation and optimization;

[0094] In this embodiment, preset performance conditions: pre-set conditions or indicators for evaluating the performance of the simulation model, ensuring that the model can effectively simulate the actual situation when these conditions are met. For example, the model must maintain stability during the simulation process, and the error between the simulation results and the actual data must be within 5%.

[0095] Implementation principle and beneficial effects of this embodiment: The present invention can ensure that the simulation model meets the user's expectations and can effectively perform performance evaluation by obtaining the user's simulation analysis needs, selecting a suitable simulation tool, and establishing a first model according to preset performance conditions. The present invention can improve the accuracy and reliability of the simulation model by selecting a suitable simulation tool and setting preset performance conditions according to user needs, ensuring that the model output meets the user's needs and providing a more reliable basis for system optimization.

[0096] The method for building a model of a double-car dumper simulation system provided by an embodiment of the present invention, in step 3, comprises:

[0097] Based on simulation analysis requirements, determine the application scenarios of the simulation model and output scenario configuration information;

[0098] At the same time, based on the simulation analysis requirements, the initial operating parameters and simulated environmental parameters of the double-car tipping machine in the simulation analysis model are determined, and the operating parameter configuration information and environmental parameter configuration information are output respectively;

[0099] Summarize the scene configuration information, operation parameter configuration information and environment parameter configuration information, and output the initial configuration data;

[0100] Input the initial configuration data into the simulation model and run it to obtain the simulation analysis results within a preset period of time. At the same time, obtain the process data of the double-car tipping machine during the operation of the simulation model and output the simulation analysis process data;

[0101] Based on the initial configuration data, simulation analysis results and simulation analysis process data, and combined with the preset animation presentation components in the simulation model, the process animation of the double-car tipping machine during the operation of the simulation model is output;

[0102] Extract features from the simulation analysis results and the simulation process data, perform feature matching on the extracted features in combination with a preset abnormal feature library, and summarize the features that meet the preset matching conditions to output a second feature set;

[0103] Combined with the preset feature-state mapping table, identify and determine the abnormal operating state of the double-car tipping machine corresponding to the second feature set, and output a state analysis table;

[0104] Identify and extract keywords in the status analysis table, and select the disposal strategies and disposal methods corresponding to each abnormal operation state in the status analysis table from the strategy method database in combination with the preset keyword-strategy comparison table, and output the status-strategy-method comparison table;

[0105] Based on the state-strategy-method comparison table, each abnormal operating state of the double-car tipping machine is handled, and the effect analysis of the handling process of the abnormal operating state is carried out in combination with the preset effect analysis indicators, and the abnormal handling effect analysis results are output.

[0106] In this embodiment, application scenario: determining the specific application scenario of the simulation model according to the simulation analysis requirements, so as to simulate the operation behavior of the double-car tipping machine in a specific situation;

[0107] In this embodiment, the scene configuration information includes: description of scene features of the double-car tipper in the simulation model, such as terrain, obstacles, etc.;

[0108] In this embodiment, the initial operating parameters refer to the initial operating parameters set for the double-car tipping machine at the beginning of the simulation, such as speed, load, etc.;

[0109] In this embodiment, simulated environmental parameters refer to environmental parameters considered in the simulation model, such as temperature, humidity, etc.;

[0110] In this embodiment, the operating parameter configuration information: describes the specific settings of the initial operating parameters of the double-car tipping machine, for example, speed = 2m / s, load = 500kg;

[0111] In this embodiment, the environmental parameter configuration information: describes the specific settings of the simulated environmental parameters, for example, temperature = 25°C, humidity = 60%;

[0112] In this embodiment, initial configuration data: initial setting data formed by aggregating scene configuration information, operation parameter configuration information and environment parameter configuration information;

[0113] In this embodiment, the preset period is a preset period of time during which the simulation model runs, which is used for simulation analysis and result evaluation;

[0114] In this embodiment, simulation analysis results: simulation model operation results obtained within a preset period of time;

[0115] In this embodiment, simulation analysis process data: detailed data generated by the double-car tipping machine during the simulation operation;

[0116] In this embodiment, a preset animation presentation component is used to present the animation effect of the double-car tipping machine during operation in the simulation model, which can intuitively present the simulation results;

[0117] In this embodiment, a preset abnormal feature library: a set of abnormal features set in advance, used to match the features extracted from the simulation analysis results to identify abnormal situations, such as abnormal sounds, abnormal vibrations and other features;

[0118] In this embodiment, the preset matching condition: a set condition for determining which features should be matched with features in the abnormal feature library;

[0119] In this embodiment, the second feature set: a set formed by features that meet preset matching conditions after feature extraction and matching, which is used to further analyze the abnormal situation;

[0120] In this embodiment, a feature-state mapping table is preset: used to map features with possible abnormal operating states of the double-car tipping machine for subsequent state analysis and processing, for example, mapping abnormal sound frequencies to possible abnormal states, such as "mechanical failure" or "operation error";

[0121] In this embodiment, the abnormal operation state refers to the abnormal state of the double-car tipping machine during the simulation process, which may include a fault, an erroneous operation, etc.;

[0122] In this embodiment, the state analysis table: records detailed information of a specific abnormal operation state, including characteristics, state, and possible causes;

[0123] In this embodiment, a keyword-strategy comparison table is preset: it is used to compare the keywords in the abnormal state analysis table with the corresponding disposal strategies and disposal methods, so that the system can quickly select the appropriate disposal method according to the keywords, for example, the keyword "mechanical failure" corresponds to the disposal strategy "stop for maintenance", and the disposal method is "check whether the mechanical parts are damaged";

[0124] In this embodiment, the strategy method database: stores detailed information of various disposal strategies and disposal methods for the system to select according to a preset keyword-strategy comparison table, for example, "emergency shutdown", "replacement of parts", etc.;

[0125] In this embodiment, the handling strategy and handling method: the handling strategy and specific operation method for the abnormal state of the double-car tipping machine to ensure that the system can effectively deal with various abnormal situations, such as emergency shutdown, replacement of damaged parts, recalibration, etc.;

[0126] In this embodiment, the state-strategy-method comparison table: according to the information in the preset keyword-strategy comparison table, the abnormal operation state is compared with the corresponding handling strategy and handling method, so that the system can quickly and accurately handle the abnormal state, and the abnormal state "electrical fault" is matched with the handling strategy "power off processing", and the handling method is "check whether the circuit connection is normal";

[0127] In this embodiment, the preset effect analysis indicators are used to evaluate the effect of handling abnormal situations so that the system can adjust and optimize the processing method according to the actual situation, including processing time, cost, safety and other indicators;

[0128] In this embodiment, the abnormality handling effect analysis result: the effect of the handling strategy and method adopted in the abnormal state handling process is analyzed to evaluate the quality of the handling effect.

[0129] The implementation principle and beneficial effects of this embodiment are as follows: by determining the application scenario and initial parameters of the simulation model based on the simulation analysis requirements, combining the preset animation presentation component to display the simulation process, identifying the abnormal state through feature extraction and abnormal feature library matching, and then selecting the corresponding disposal strategy and method according to the preset keyword-strategy comparison table, and finally evaluating the treatment effect through the effect analysis index. The present invention integrates simulation analysis, animation display, abnormality identification and disposal optimization, and improves the intelligence and disposal efficiency of the system. The present invention combines simulation models and data analysis technology to realize real-time monitoring and intelligent disposal of abnormal conditions of double-car tipping machines, effectively improving the system's fault diagnosis speed and accuracy, and reducing the risk of production interruption. At the same time, through the application of effect analysis indicators, the system can continuously optimize the disposal strategies and methods, improve the stability and reliability of the system, so as to achieve the purpose of improving production efficiency and reducing costs.

[0130] The method for building a model of a double-car tipping machine simulation system provided by an embodiment of the present invention, in step 4, comprises:

[0131] Select historical data matching the first data from the historical database, and output the historical data whose similarity to the first data is greater than a first preset degree as primary reference data, and output the historical data whose similarity to the first data is less than the first preset degree and greater than a second preset degree as secondary reference data;

[0132] Compare and verify the primary reference data and the secondary reference data with the first data respectively, and output the comparison and verification results;

[0133] At the same time, combined with the preset optimization indicators selected from the indicator database, the comparison and verification results are optimized and analyzed, and the optimization analysis results are output, where the optimization analysis results include model parameter optimization, operation process optimization, personnel operation optimization, control logic optimization and environmental parameter optimization;

[0134] Based on the optimization analysis results, the matching optimization strategies and methods are selected from the strategy method database, and the simulation model parameters and the operation process, personnel operation, control logic and environmental parameters of the double-car tipping machine are optimized based on the optimization strategies and methods. At the same time, the optimization log is output;

[0135] Based on the optimization log and combined with optimization strategies and methods, the simulation model parameters, personnel operation manual, and the operation process, control logic, and environmental parameters of the double-car tipper are adjusted.

[0136] In this embodiment, the first preset degree is a threshold value used to determine the similarity of historical data, data greater than the threshold value is regarded as primary reference data, and data less than the threshold value but greater than the second preset degree is regarded as secondary reference data;

[0137] In this embodiment, the primary reference data: historical data having a similarity with the first data greater than a first preset degree, used as a primary reference for comparison verification and optimization analysis;

[0138] In this embodiment, the second preset degree is a second threshold used to determine the similarity of historical data, and data that is less than the first preset degree but greater than the second preset degree is regarded as secondary reference data;

[0139] In this embodiment, secondary reference data: historical data whose similarity to the first data is less than a first preset degree but greater than a second preset degree, is used as auxiliary reference data for comparison, verification and optimization analysis;

[0140] In this embodiment, the comparison verification result is used to compare the difference between the primary reference data and the secondary reference data and the first data to verify the accuracy and reliability of the simulation analysis data.

[0141] In this embodiment, the preset optimization index: an index selected from the index database for optimization analysis, used to evaluate and compare the verification results and make optimization decisions;

[0142] In this embodiment, the optimization analysis results include model parameter optimization, operation process optimization, personnel operation optimization, control logic optimization, and environmental parameter optimization, which are used to guide the optimization direction and decision-making of the system;

[0143] In this embodiment, model parameter optimization: various parameters in the simulation model are adjusted and optimized to improve the accuracy of the model and the simulation effect, for example, the speed, load and other parameters of the double-car tipper are adjusted to better simulate the actual situation;

[0144] In this embodiment, the operation process is optimized: the operation process of the double-car tipper is optimized, including optimization of task allocation, work sequence, etc., to improve operation efficiency and reduce resource waste, for example, the loading and unloading process of the double-car tipper is optimized to reduce waiting time;

[0145] In this embodiment, personnel operation optimization: optimizing the operation methods and processes of personnel when operating the double-car tipper to improve work efficiency and safety, for example, training personnel to use the best practices of the double-car tipper to reduce operating errors;

[0146] In this embodiment, control logic optimization: optimizing the control system logic of the double-car tipping machine, including optimizing the automatic control system and the manual control system, so as to improve the response speed and stability of the system, for example, optimizing the feedback mechanism of the control system, so as to adjust the operating state of the double-car tipping machine more quickly;

[0147] In this embodiment, environmental parameter optimization: various parameters in the operating environment of the double-car tipper are optimized, including optimization of factors such as temperature, humidity, and light, so as to improve the performance and stability of the double-car tipper, for example, the temperature and humidity of the workplace are adjusted to ensure the normal operation of the double-car tipper;

[0148] In this embodiment, optimization strategies and methods: specific optimization strategies and methods selected and applied according to the optimization analysis results, used to implement the optimization of model parameters, work processes, personnel operations, control logic and environmental parameters;

[0149] In this embodiment, optimization log: a log recording adjustments and optimization measures made during the optimization process, used to track the optimization effect and compare the effects of different optimization solutions;

[0150] In this embodiment, the personnel operation manual is a manual that explains in detail how personnel operate the double-car tipping machine, including operating procedures, safety precautions, etc., and is used to guide personnel to correctly operate the double-car tipping machine.

[0151] The implementation principle and beneficial effects of this embodiment: The present invention performs optimization analysis by matching and comparing historical data and combining preset optimization indicators to achieve comprehensive optimization of the double-car tipping machine simulation system model. Through historical data analysis and optimization processes, the operating parameters and operating procedures of the simulation model and the double-car tipping machine are continuously adjusted and optimized to adapt to different working environments and improve the overall operating effect of the system. The present invention adjusts and optimizes model parameters, operating procedures, personnel operations, control logic and environmental parameters by selecting matching optimization strategies and methods, improves the accuracy and reliability of the system, optimizes operating procedures and personnel operations, enhances the optimization of control logic and environmental parameters, and thus improves the operating efficiency and production quality of the double-car tipping machine, achieving continuous optimization and improvement of the system.

[0152] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. 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 embodiments of the present invention.

Claims

1. A method for building a double-car tipping machine simulation system model, characterized in that: include: Step 1: obtaining the vehicle model data of the double-vehicle tipping machine through a preset scanning method, and at the same time, obtaining the structural data and operating principle data corresponding to the vehicle model data in the equipment database, and summarizing and outputting the first data; Step 2: Selecting preset simulation software in the simulation tool library, analyzing and modeling the first data, and outputting a simulation model; Step 3: configuring the simulation operation parameters of the double-car tipper in the simulation model to obtain the configuration parameters, and running the simulation model based on the configuration parameters to output simulation analysis data; Step 4: Acquire actual operation data matching the configuration parameters in a historical database, compare and verify with the simulation analysis data, and optimize the simulation model based on the comparison and analysis results.

2. The method for building a double-car dumper simulation system model according to claim 1, characterized in that: The method of obtaining the vehicle model data of the double-vehicle tipping machine by a preset scanning method includes: A preset scanning method for scanning a double-car tipper is selected from a method database, and identification information and vehicle model characteristics of the double-car tipper are scanned based on the preset scanning method, and comprehensive analysis is performed to output vehicle model data.

3. The method for building a double-car dumper simulation system model according to claim 1, characterized in that: The acquiring of the structural data and the operating principle data corresponding to the vehicle model data in the equipment database includes: The external and internal structural data of the double-car tipping machine corresponding to the vehicle model data are selected from the equipment database, and the structural data are output. At the same time, the operation process and operation logic of the double-car tipping machine matching the vehicle model data are obtained, and the operation principle data are output.

4. The method for building a double-car dumper simulation system model according to claim 3 is characterized in that: The operation process includes process data of the tipping machine readjustment, air conditioning, towing platform, main body, and wheel clamp under various control modes.

5. The method for building a double-car dumper simulation system model according to claim 1, characterized in that: Before the first data is summarized and outputted, the method further includes: The real-time environmental data of the double-car tipping machine in the real scene is acquired through a preset sensor array, and the equipment operation-environment comparison data is output in combination with the operation data of the double-car tipping machine at the same time.

6. The method for building a double-car dumper simulation system model according to claim 1, characterized in that: Step 2 includes: At the same time, the simulation analysis requirements of the user are obtained, and the preset simulation software is selected from the simulation tool library in combination with the tool selection instructions of the user; The first data is input into a preset simulation software for analysis and modeling to obtain a first model, and the first model that meets preset performance conditions is output as a simulation model.

7. The method for building a double-car tipper simulation system model according to claim 6, characterized in that: Step 3 includes: Based on the simulation analysis requirements, determine the application scenario of the simulation model and output scenario configuration information; At the same time, based on the simulation analysis requirements, the initial operating parameters and simulated environmental parameters of the double-car tipping machine in the simulation analysis model are determined, and the operating parameter configuration information and the environmental parameter configuration information are output respectively; Summarize the scene configuration information, operation parameter configuration information and environment parameter configuration information, and output initial configuration data; Input the initial configuration data into the simulation model and run it to obtain the simulation analysis results within a preset time period, and at the same time, obtain the process data of the double-car tipping machine during the operation of the simulation model and output the simulation analysis process data; Based on the initial configuration data, simulation analysis results and simulation analysis process data, and in combination with a preset animation presentation component in the simulation model, output a process animation of the double-car tipping machine during operation of the simulation model; Extracting features from the simulation analysis results and the simulation process data, performing feature matching on the extracted features in combination with a preset abnormal feature library, and summarizing the features that meet the preset matching conditions to output a second feature set; In combination with a preset feature-state mapping table, identifying and determining the abnormal operating state of the double-car tipping machine corresponding to the second feature set, and outputting a state analysis table; Identify and extract keywords in the state analysis table, and select disposal strategies and disposal methods corresponding to each abnormal operation state in the state analysis table from the strategy method database in combination with a preset keyword-strategy comparison table, and output a state-strategy-method comparison table; Based on the state-strategy-method comparison table, each abnormal operating state of the double-car tipping machine is handled, and the handling process of the abnormal operating state is analyzed in combination with preset effect analysis indicators, and the abnormal handling effect analysis result is output.

8. The method for building a double-car dumper simulation system model according to claim 1, characterized in that: Step 4 includes: Selecting historical data matching the first data from a historical database, and outputting historical data whose similarity to the first data is greater than a first preset degree as primary reference data, and outputting historical data whose similarity to the first data is less than the first preset degree and greater than a second preset degree as secondary reference data; Compare and verify the primary reference data and the secondary reference data with the first data respectively, and output comparison and verification results; At the same time, combined with the preset optimization indicators selected from the indicator database, the comparison and verification results are optimized and analyzed, and the optimization analysis results are output, wherein the optimization analysis results include model parameter optimization, operation process optimization, personnel operation optimization, control logic optimization and environmental parameter optimization; Based on the optimization analysis results, a matching optimization strategy and method are selected from a strategy and method database, and based on the optimization strategy and method, simulation model parameters and the operation process, personnel operation, control logic and environmental parameters of the double-car tipping machine are optimized, and at the same time, an optimization log is output; Based on the optimization log and in combination with the optimization strategy and method, the simulation model parameters, the personnel operation manual, and the operation process, control logic and environmental parameters of the double-car tipping machine are adjusted.

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