A method and system for intelligent control of coal yard stacker-reclaimers
By configuring automated codes and visual models for the stacker-reclaimer, the inefficiency caused by manual operation was solved, and automation and real-time error adjustment were achieved, improving the accuracy and efficiency of equipment control.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUANENG NANJING JINLING POWER GENERATION
- Filing Date
- 2023-02-28
- Publication Date
- 2026-06-30
Smart Images

Figure CN116424808B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of intelligent control technology, and in particular to an intelligent control method and system for a coal yard stacker-reclaimer. Background Technology
[0002] The stacker-reclaimer consists of three parts: the stacker, the reclaimer, and the central column. During stacking and reclaiming operations, it has two distinct stacking and reclaiming rotary mechanisms, which make the stacker and reclaimer two independent operating systems that do not interfere with each other, enabling simultaneous stacking and reclaiming operations.
[0003] Generally, the stacker-reclaimer equipment needs to be operated manually to achieve automatic stacking and reclaiming of materials. However, this process requires experienced personnel to complete the operation. If the personnel are absent or make operational errors, the work efficiency will decrease.
[0004] This invention proposes an intelligent control method and system for a coal yard stacker-reclaimer. Summary of the Invention
[0005] This invention provides an intelligent control method and system for a coal yard stacker-reclaimer, which configures automation codes to different devices by determining the stacking and reclaiming process, thereby achieving automated operation and effectively improving work efficiency. Furthermore, by monitoring the work process, it is easy to adjust the current work error in a timely and effective manner, and by constructing a visual model for display and reminders, the efficiency of intelligent control of the stacker-reclaimer is further guaranteed.
[0006] This invention provides an intelligent control method for a coal yard stacker-reclaimer, comprising:
[0007] Step 1: Determine the coal yard stacking and reclaiming process, and identify the mechanical equipment for each automated item in the stacking and reclaiming process, as well as match the automation code for each mechanical equipment in the corresponding operating state from the file database;
[0008] Step 2: Monitor the operation of the mechanisms and equipment in each automation project, and compare the monitoring results with the standard parameters of the consistent automation code to determine the current working error of different mechanisms and equipment;
[0009] Step 3: When the current working error meets the preset error, retrieve the working parameters and working scenarios for the historical time period including the current time, and construct a working visualization model;
[0010] Step 4: Distribute the work visualization model to the personnel for display and reminder.
[0011] Preferably, the monitoring results are compared with standard parameters of consistent automation code to determine the current operating error of different mechanisms and equipment, including:
[0012] Construct a comparison array between the result parameters and the corresponding annotation parameters;
[0013] Extract similar parameters from the comparison array to obtain several subarrays;
[0014] Compare each first difference in the same subarray with the preset difference of the corresponding parameter;
[0015] Based on the comparison results, the difference level of the same subarray is calculated;
[0016]
[0017] Where D represents the difference level corresponding to the same subarray; d1 i1 This represents the parameter value of the i1th parameter in the same subarray; d2 i1 This represents the standard value of the i1th parameter in the same subarray; d0 i1 This represents the preset difference corresponding to the i1th parameter in the same subarray; ln represents the logarithmic function symbol; ∝ i1 This represents the weight of the i1th parameter in the same subarray; From all Get the maximum weight ∝ i1, Relevant ratio results;
[0018] When the difference level is greater than the preset level, the corresponding subarray is calibrated;
[0019] Extract the parameter information of each calibrated subarray and input it into the error analysis model to obtain the current working error of the corresponding structural device.
[0020] Preferably, the system retrieves work parameters and work scenarios for a historical time period, including the current moment, and constructs a work visualization model, including:
[0021] Obtain the equipment work items and historical setting scenarios of the institution's equipment for the corresponding historical time period;
[0022] Simulations were performed based on the equipment's operational items and historical settings to construct an initial visualization model.
[0023] Based on the current working parameters and current working scenario, the initial visualization model is optimized to obtain the working visualization model.
[0024] Preferably, the work visualization model is distributed to personnel for display and reminders, including:
[0025] Obtain the content metrics for each visualization item in the work visualization model, and analyze the cost of the content metrics to determine the content cost of the corresponding visualization item.
[0026] Based on the content cost, all visualized content items are sorted in the first order; at the same time, based on the indicator cost, each indicator content item in the same visualized content item is sorted in the second order.
[0027] Based on the first and second sorting results, the corresponding display sorting distribution is obtained;
[0028] Based on the display layout, the work visualization model is displayed and distributed to the personnel for display reminders.
[0029] Preferably, the coal yard stockpiling process is determined, and the mechanical equipment for each automated item in the stockpiling process is determined, including:
[0030] From the stacking process, the stacking shape data of the first adjacent region and the shape data of the second adjacent region are collected;
[0031] The coal pile shape data is analyzed to determine the coal pile operation in the first adjacent area, and the amount of coal piled for the corresponding coal pile operation is obtained to determine the required coal pile equipment.
[0032] A second analysis is performed on the shape data to determine the coal mining operation in the second adjacent area, obtain the coal mining quantity for the corresponding coal mining operation, and determine the required coal mining equipment;
[0033] The coal stacking equipment and the coal taking equipment are regarded as corresponding mechanical equipment.
[0034] This invention provides an intelligent control system for a coal yard stacker-reclaimer, comprising:
[0035] The matching module is used to determine the coal yard stacking and taking process, and to determine the mechanical equipment of each automated item in the stacking and taking process, and to match the automation code of each mechanical equipment in the corresponding operating state from the file database;
[0036] The process monitoring module is used to monitor the working process of the mechanisms and equipment in each automation project, and compare the results of the monitoring with the standard parameters of the consistent automation code to determine the current working error of different mechanisms and equipment.
[0037] The visualization construction module is used to retrieve the working parameters and working scenarios of historical time periods, including the current time, and construct a working visualization model when the current working error meets the preset error.
[0038] The display reminder module is used to distribute the work visualization model to the personnel for display reminders.
[0039] Preferably, the process monitoring module includes:
[0040] Array building units are used to construct comparison arrays between the result parameters and their corresponding annotation parameters;
[0041] The parameter extraction unit is used to extract similar parameters from the comparison array to obtain several subarrays;
[0042] The comparison unit is used to compare each first difference in the same subarray with the preset difference of the corresponding parameter;
[0043] A grade calculation unit is used to calculate the difference grade of the same subarray based on the comparison results;
[0044]
[0045] Where D represents the difference level corresponding to the same subarray; d1 i1 This represents the parameter value of the i1th parameter in the same subarray; d2 i1 This represents the standard value of the i1th parameter in the same subarray; d0 i1 This represents the preset difference corresponding to the i1th parameter in the same subarray; ln represents the logarithmic function symbol; ∝ i1 This represents the weight of the i1th parameter in the same subarray; From all Get the maximum weight ∝ i1, Relevant ratio results;
[0046] A calibration unit is used to calibrate the corresponding subarray when the difference level is greater than a preset level;
[0047] The error analysis unit is used to extract the parameter information of each calibrated subarray and input it into the error analysis model to obtain the current working error of the corresponding structural equipment.
[0048] Preferred, visual building modules include:
[0049] The historical information acquisition unit is used to acquire the equipment work items and historical setting scenarios of the institution's equipment corresponding to the historical time period;
[0050] The initial model building unit is used to simulate and build an initial visualization model according to the device's working items and historical setting scenarios.
[0051] The model optimization unit is used to optimize the initial visualization model according to the current working parameters and the current working scenario to obtain the working visualization model.
[0052] Preferably, the display reminder module includes:
[0053] The cost analysis unit is used to obtain the content index of each visualization content in the work visualization model, and analyze the index cost of the content index to determine the content cost of the corresponding visualization content.
[0054] The sorting unit is used to perform a first sort on all item visualization content according to the content cost, and at the same time, to perform a second sort on each indicator content in the same item visualization content according to the indicator cost.
[0055] The distribution unit is used to obtain the corresponding display sorting distribution based on the first sorting result and the second sorting result;
[0056] The layout reminder unit is used to display the work visualization model according to the display layout distribution, and send it to the personnel terminal for display reminder.
[0057] Preferably, the matching module includes:
[0058] The data acquisition unit is used to acquire the stacking shape data of the first adjacent region and the shape data of the second adjacent region from the stacking process;
[0059] The first analysis unit is used to perform a first analysis on the pile shape data, determine the coal stacking work in the first adjacent area, obtain the coal stacking amount corresponding to the coal stacking work, and determine the required coal stacking equipment.
[0060] The second analysis unit is used to perform a second analysis on the shape data, determine the coal mining operation in the second adjacent area, obtain the coal mining quantity of the corresponding coal mining operation, and determine the required coal mining equipment.
[0061] The equipment determination unit is used to identify the coal stacking equipment and the coal taking equipment as corresponding mechanical equipment.
[0062] Compared with the prior art, the beneficial effects of this application are as follows:
[0063] By defining the stacking and reclaiming process, automation code can be configured for different devices to achieve automated operation, effectively improving work efficiency. Furthermore, by monitoring the work process, it is easy to adjust current work errors in a timely and effective manner. In addition, by building a visual model for display and reminders, the efficiency of intelligent control of the stacker-reclaimer is further guaranteed.
[0064] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.
[0065] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description
[0066] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:
[0067] Figure 1 This is a flowchart of an intelligent control method for a coal yard stacker-reclaimer in an embodiment of the present invention;
[0068] Figure 2 This is a structural diagram of an intelligent control system for a coal yard stacker-reclaimer according to an embodiment of the present invention;
[0069] Figure 3 This is a structural diagram of the process monitoring module in an embodiment of the present invention. Detailed Implementation
[0070] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.
[0071] This invention provides an intelligent control method for a coal yard stacker-reclaimer, such as... Figure 1 As shown, it includes:
[0072] Step 1: Determine the coal yard stacking and reclaiming process, and identify the mechanical equipment for each automated item in the stacking and reclaiming process, as well as match the automation code for each mechanical equipment in the corresponding operating state from the file database;
[0073] Step 2: Monitor the operation of the mechanisms and equipment in each automation project, and compare the monitoring results with the standard parameters of the consistent automation code to determine the current working error of different mechanisms and equipment;
[0074] Step 3: When the current working error meets the preset error, retrieve the working parameters and working scenarios for the historical time period including the current time, and construct a working visualization model;
[0075] Step 4: Distribute the work visualization model to the personnel for display and reminder.
[0076] This system is mainly used to realize fully automatic control of stacker-reclaimer equipment without human intervention. That is, no operators are set up on the stacker-reclaimer equipment. Before the operation, relevant personnel only need to input the operation parameters according to the production plan and the relevant information such as the location, shape and type of the material pile in the visual interface of the stockpile, and then confirm and issue the operation. The subsequent automatic adjustment of the associated equipment to the initial position, automatic adjustment of each mechanism, automatic material picking and automatic stacking are all automatically realized by the control system.
[0077] Meanwhile, the machine vision device will collect real-time data on the shape of the stockpile in the vicinity, enabling near real-time visualization of the stockpile model. During operation, the system automatically adjusts the actions of each mechanism (such as start / stop, speed, and direction) according to the real-time shape of the stockpile, automatically adapting to the shape of the stockpile and autonomously completing the stacking and retrieving operations.
[0078] This system can acquire various parameters such as the location of the stockpile, and automatically control the system to complete stacking and reclaiming operations. At the same time, it can collect data from nearby areas in real time to realize the real-time visualization of the stockpile model, which can facilitate timely adjustments by staff and improve accuracy.
[0079] In this embodiment, the stacking and reclaiming process refers to the process of the stacker-reclaimer taking out and stacking coal, such as: taking out coal 1, taking out coal 2, taking out coal 3, stacking coal 4, and stacking coal 5.
[0080] In this embodiment, an automated project refers to an automated control operation for different equipment components in a stacker-reclaimer, that is, which part of the corresponding process the equipment needs to execute. For example, component 1 in the equipment needs to execute coal taking 3 to realize the project configuration.
[0081] In this embodiment, the file database includes all the operation content contained in different processes and the operation code matching the operation content. Therefore, the code under the corresponding operation can be configured to the corresponding device, that is, the relevant control instructions. For example, when the coal taking equipment executes the coal taking 1 operation, it can determine the corresponding coal weight, the corresponding coal shape, the coal taking speed, etc.
[0082] In this embodiment, process monitoring refers to monitoring the device during operation. This monitoring is mainly to obtain the working parameters at each moment in the process. These working parameters are related to the execution parameters of the corresponding device, such as speed, so as to facilitate subsequent comparison with standard parameters.
[0083] In this embodiment, the current working error refers to, for example, if the current speed is 1 m / s and the corresponding standard speed is 0.9 m / s, then the corresponding current working error is 0.1 m / s.
[0084] In this embodiment, the preset error is pre-set. For example, the preset error between speeds is 0.2 m / s. At this time, the corresponding current working error meets the preset error.
[0085] In this embodiment, the working parameters refer to the information related to the historical operations performed by the device within a historical time period and the current operation item corresponding to the historical operation. According to the work content performed by the operation item, the execution environment corresponding to the item is the working scenario, and the corresponding work content is the working parameters.
[0086] In this embodiment, the work visualization model is used to visualize the corresponding work, making it easier for personnel to view and solve problems in a timely manner.
[0087] The beneficial effects of the above technical solution are: by defining the stacking and reclaiming process, automation code can be configured for different devices to achieve automated work, effectively improving work efficiency; by monitoring the work process, it is convenient to adjust the current work error in a timely and effective manner; and by building a visual model for display and reminders, the efficiency of intelligent control of the stacker-reclaimer is further guaranteed.
[0088] This invention provides an intelligent control method for a coal yard stacker-reclaimer, which compares the result parameters of monitoring results with standard parameters of consistent automation codes to determine the current working error of different mechanisms and equipment, including:
[0089] Construct a comparison array between the result parameters and the corresponding annotation parameters;
[0090] Extract similar parameters from the comparison array to obtain several subarrays;
[0091] Compare each first difference in the same subarray with the preset difference of the corresponding parameter;
[0092] Based on the comparison results, the difference level of the same subarray is calculated;
[0093]
[0094] Where D represents the difference level corresponding to the same subarray; d1 i1 This represents the parameter value of the i1th parameter in the same subarray; d2 i1 This represents the standard value of the i1th parameter in the same subarray; d0 i1 This represents the preset difference corresponding to the i1th parameter in the same subarray; ln represents the logarithmic function symbol; ∝ i1 This represents the weight of the i1th parameter in the same subarray; From all Get the maximum weight ∝ i1,Relevant ratio results;
[0095] When the difference level is greater than the preset level, the corresponding subarray is calibrated;
[0096] Extract the parameter information of each calibrated subarray and input it into the error analysis model to obtain the current working error of the corresponding structural device.
[0097] In this embodiment, the result parameters are: [parameter1, parameter2, parameter3, ...]; the standard parameters are: [standard1, standard2, standard3, ...], where parameter1 and parameter2 are of the same type. This will result in two subarrays. as well as This allows us to calculate the difference levels of the corresponding subarrays.
[0098] In this embodiment, the preset difference is pre-set, and the preset difference corresponding to different parameters is different.
[0099] In this embodiment, the preset level is also pre-set. Similar parameters refer to parameters with similar meanings, such as speed parameters and rotation parameters, which can be regarded as similar parameters.
[0100] In this embodiment, the calibration subarray is used to obtain the array with a large error level, which facilitates subsequent analysis of the parameter information.
[0101] In this embodiment, the error analysis model is pre-trained and is trained based on the errors corresponding to different arrays and different array combinations as samples. Therefore, the current working error of the corresponding parameter information can be obtained, mainly to ensure the accuracy of the obtained error and the possible device abnormalities caused by differences in different parameters.
[0102] The beneficial effects of the above technical solution are: by extracting similar parameters and comparing differences, the difference level can be effectively calculated, which facilitates error analysis of the calibrated array, ensures the accuracy of the analysis, and further guarantees the efficiency of intelligent control.
[0103] This invention provides an intelligent control method for a coal yard stacker-reclaimer, which retrieves working parameters and working scenarios for historical time periods, including the current time, and constructs a working visualization model, including:
[0104] Obtain the equipment work items and historical setting scenarios of the institution's equipment for the corresponding historical time period;
[0105] Simulations were performed based on the equipment's operational items and historical settings to construct an initial visualization model.
[0106] Based on the current working parameters and current working scenario, the initial visualization model is optimized to obtain the working visualization model.
[0107] In this embodiment, the historical time period refers to the three days prior to the current moment.
[0108] In this embodiment, the device work item refers to the device's workflow and corresponding work status within a corresponding historical time period.
[0109] In this embodiment, the historical setting scenario refers to the work project that the device is currently working on and the corresponding work project.
[0110] In this embodiment, the simulation is performed on simulation software, mainly on the stacker-reclaimer. The simulation analyzes the working behavior of each piece of equipment to build an initial visualization model based on historical time periods. The initial visualization model is then optimized according to the relevant parameters at the current moment to obtain the working visualization model.
[0111] The beneficial effects of the above technical solution are: by simulating historical content and optimizing the model based on current content, the accuracy of the work visualization model is ensured, which facilitates the processing of the model by staff and further improves the work efficiency of the equipment.
[0112] This invention provides an intelligent control method for a coal yard stacker-reclaimer, which distributes the work visualization model to personnel for display and reminders, including:
[0113] Obtain the content metrics for each visualization item in the work visualization model, and analyze the cost of the content metrics to determine the content cost of the corresponding visualization item.
[0114] Based on the content cost, all visualized content items are sorted in the first order; at the same time, based on the indicator cost, each indicator content item in the same visualized content item is sorted in the second order.
[0115] Based on the first and second sorting results, the corresponding display sorting distribution is obtained;
[0116] Based on the display layout, the work visualization model is displayed and distributed to the personnel for display reminders.
[0117] In this embodiment, since the stacker-reclaimer includes several execution components, namely corresponding reclaiming and stacking devices, it is necessary to determine the corresponding display content based on the execution content of different devices. Each display content has its corresponding display index, i.e., content index. For example, it is necessary to display the rotation angle of the corresponding device's slewing mechanism at different times, or the rising angle of different robotic arms at different times. However, since each component has its corresponding standard operating parameters, each component will have a specific weight during the display process.
[0118] Indicator cost = the error coefficient between the weight of the corresponding component and the working content of the corresponding indicator.
[0119] Content cost = the sum of the costs of all metrics corresponding to the same visualization content.
[0120] In this embodiment, the first sorting and the second sorting are for the purpose of better displaying and reminding users of erroneous indicators and the corresponding content.
[0121] In this embodiment, the display sorting distribution means, for example, that there are indicators 1, 2, and 3 in the visualization content 1, where the cost of indicator 1 is 0.2, the cost of indicator 2 is 0.3, the cost of visualization content 1 is 0.5, and the cost of visualization content 2 is 0.6. In this case, during the display process, visualization content 2 needs to be displayed with a greater magnification based on visualization content 1.
[0122] In this embodiment, the display layout is designed to facilitate the display of corresponding organizations in chronological order. It allows for effective magnification of the display based on the content cost of the corresponding visual content and the indicator cost present in that content, making it easier to understand in a timely manner.
[0123] The beneficial effects of the above technical solution are: by determining the indicator cost and content cost of the content metrics of the visualization content, and then by sorting, the display layout of the model can be effectively obtained, which facilitates timely viewing by personnel and enables further efficient control of the equipment.
[0124] This invention provides an intelligent control method for a coal yard stacker-reclaimer, which determines the stacking and reclaiming process of the coal yard and identifies the mechanical equipment for each automated item in the stacking and reclaiming process, including:
[0125] From the stacking process, the stacking shape data of the first adjacent region and the shape data of the second adjacent region are collected;
[0126] The coal pile shape data is analyzed to determine the coal pile operation in the first adjacent area, and the amount of coal piled for the corresponding coal pile operation is obtained to determine the required coal pile equipment.
[0127] A second analysis is performed on the shape data to determine the coal mining operation in the second adjacent area, obtain the coal mining quantity for the corresponding coal mining operation, and determine the required coal mining equipment;
[0128] The coal stacking equipment and the coal taking equipment are regarded as corresponding mechanical equipment.
[0129] In this embodiment, the first adjacent area refers to the area where coal will be piled up, and the second adjacent area refers to the area where coal will be extracted.
[0130] The beneficial effects of the above technical solution are: by conducting regional analysis, the equipment information of different regions can be effectively determined, providing a basis for subsequent effective monitoring of the equipment and ensuring the working efficiency of the equipment.
[0131] This invention provides an intelligent control system for a coal yard stacker-reclaimer, such as... Figure 2 As shown, it includes:
[0132] The matching module is used to determine the coal yard stacking and taking process, and to determine the mechanical equipment of each automated item in the stacking and taking process, and to match the automation code of each mechanical equipment in the corresponding operating state from the file database;
[0133] The process monitoring module is used to monitor the working process of the mechanisms and equipment in each automation project, and compare the results of the monitoring with the standard parameters of the consistent automation code to determine the current working error of different mechanisms and equipment.
[0134] The visualization construction module is used to retrieve the working parameters and working scenarios of historical time periods, including the current time, and construct a working visualization model when the current working error meets the preset error.
[0135] The display reminder module is used to distribute the work visualization model to the personnel for display reminders.
[0136] Preferably, a process monitoring module, such as Figure 3 As shown, it includes:
[0137] Array building units are used to construct comparison arrays between the result parameters and their corresponding annotation parameters;
[0138] The parameter extraction unit is used to extract similar parameters from the comparison array to obtain several subarrays;
[0139] The comparison unit is used to compare each first difference in the same subarray with the preset difference of the corresponding parameter;
[0140] A grade calculation unit is used to calculate the difference grade of the same subarray based on the comparison results;
[0141]
[0142] Where D represents the difference level corresponding to the same subarray; d1 i1 This represents the parameter value of the i1th parameter in the same subarray; d2 i1 This represents the standard value of the i1th parameter in the same subarray; d0 i1 This represents the preset difference corresponding to the i1th parameter in the same subarray; ln represents the logarithmic function symbol; ∝ i1 This represents the weight of the i1th parameter in the same subarray; From all Get the maximum weight ∝ i1, Relevant ratio results;
[0143] A calibration unit is used to calibrate the corresponding subarray when the difference level is greater than a preset level;
[0144] The error analysis unit is used to extract the parameter information of each calibrated subarray and input it into the error analysis model to obtain the current working error of the corresponding structural equipment.
[0145] Preferred, visual building modules include:
[0146] The historical information acquisition unit is used to acquire the equipment work items and historical setting scenarios of the institution's equipment corresponding to the historical time period;
[0147] The initial model building unit is used to simulate and build an initial visualization model according to the device's working items and historical setting scenarios.
[0148] The model optimization unit is used to optimize the initial visualization model according to the current working parameters and the current working scenario to obtain the working visualization model.
[0149] Preferably, the display reminder module includes:
[0150] The cost analysis unit is used to obtain the content index of each visualization content in the work visualization model, and analyze the index cost of the content index to determine the content cost of the corresponding visualization content.
[0151] The sorting unit is used to perform a first sort on all item visualization content according to the content cost, and at the same time, to perform a second sort on each indicator content in the same item visualization content according to the indicator cost.
[0152] The distribution unit is used to obtain the corresponding display sorting distribution based on the first sorting result and the second sorting result;
[0153] The layout reminder unit is used to display the work visualization model according to the display layout distribution, and send it to the personnel terminal for display reminder.
[0154] Preferably, the matching module includes:
[0155] The data acquisition unit is used to acquire the stacking shape data of the first adjacent region and the shape data of the second adjacent region from the stacking process;
[0156] The first analysis unit is used to perform a first analysis on the pile shape data, determine the coal stacking work in the first adjacent area, obtain the coal stacking amount corresponding to the coal stacking work, and determine the required coal stacking equipment.
[0157] The second analysis unit is used to perform a second analysis on the shape data, determine the coal mining operation in the second adjacent area, obtain the coal mining quantity of the corresponding coal mining operation, and determine the required coal mining equipment.
[0158] The equipment determination unit is used to identify the coal stacking equipment and the coal taking equipment as corresponding mechanical equipment.
[0159] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.
Claims
1. A method for intelligent control of a coal yard stacker-reclaimer, characterized in that, include: Step 1: Determine the coal yard stacking and reclaiming process, and identify the mechanical equipment for each automated item in the stacking and reclaiming process, as well as match the automation code for each mechanical equipment in the corresponding operating state from the file database; Step 2: Monitor the operation of the mechanisms and equipment in each automation project, and compare the monitoring results with the standard parameters of the consistent automation code to determine the current working error of different mechanisms and equipment; Step 3: When the current working error meets the preset error, retrieve the working parameters and working scenarios for the historical time period including the current time, and construct a working visualization model; Step 4: Distribute the work visualization model to the personnel for display and reminder.
2. The intelligent control method for a coal yard stacker-reclaimer as described in claim 1, characterized in that, The monitoring results are compared with standard parameters from consistent automation code to determine the current operational errors of different mechanisms and equipment, including: Construct a comparison array between the resulting parameters and the corresponding standard parameters; Extract similar parameters from the comparison array to obtain several subarrays; Compare each first difference in the same subarray with the preset difference of the corresponding parameter; Based on the comparison results, the difference level of the same subarray is calculated; Where D represents the difference level corresponding to the same subarray; This represents the parameter value of the i1th parameter in the same subarray; This represents the standard value of the i1th parameter in the same subarray; This represents the preset difference corresponding to the i1th parameter in the same subarray; ln represents the logarithmic function symbol; This represents the weight of the i1th parameter in the same subarray; Indicates from all Get the maximum weight Relevant ratio results; When the difference level is greater than the preset level, the corresponding subarray is calibrated; Extract the parameter information of each calibrated subarray and input it into the error analysis model to obtain the current working error of the corresponding structural device.
3. The intelligent control method for a coal yard stacker-reclaimer as described in claim 1, characterized in that, Retrieve work parameters and scenarios for historical time periods, including the current moment, and construct a work visualization model, including: Obtain the equipment work items and historical setting scenarios of the institution's equipment for the corresponding historical time period; Simulations were performed based on the equipment's operational items and historical settings to construct an initial visualization model. Based on the current working parameters and current working scenario, the initial visualization model is optimized to obtain the working visualization model.
4. The intelligent control method for a coal yard stacker-reclaimer as described in claim 1, characterized in that, The work visualization model is distributed to personnel for display and reminders, including: Obtain the content metrics for each visualization item in the work visualization model, and analyze the cost of the content metrics to determine the content cost of the corresponding visualization item. Based on the content cost, all visualized content items are sorted in the first order; at the same time, based on the indicator cost, each indicator content item in the same visualized content item is sorted in the second order. Based on the first and second sorting results, the corresponding display sorting distribution is obtained; Based on the displayed sorting distribution, the work visualization model is displayed and laid out, and then sent to the personnel for display reminders.
5. The intelligent control method for a coal yard stacker-reclaimer as described in claim 1, characterized in that, Determine the coal yard stockpiling process, and identify the mechanical equipment for each automated item in the stockpiling process, including: From the stacking process, the stacking shape data of the first adjacent region and the shape data of the second adjacent region are collected; The coal pile shape data is analyzed to determine the coal pile operation in the first adjacent area, and the amount of coal piled for the corresponding coal pile operation is obtained to determine the required coal pile equipment. A second analysis is performed on the shape data to determine the coal mining operation in the second adjacent area, and the coal mining quantity for the corresponding operation is obtained to determine the required coal mining equipment. The coal stacking equipment and the coal taking equipment are regarded as corresponding mechanical equipment.
6. An intelligent control system for a coal yard stacker-reclaimer, characterized in that, include: The matching module is used to determine the coal yard stacking and taking process, and to determine the mechanical equipment of each automated item in the stacking and taking process, and to match the automation code of each mechanical equipment in the corresponding operating state from the file database; The process monitoring module is used to monitor the working process of the mechanisms and equipment in each automation project, and compare the results of the monitoring with the standard parameters of the consistent automation code to determine the current working error of different mechanisms and equipment. The visualization construction module is used to retrieve the working parameters and working scenarios of historical time periods, including the current time, and construct a working visualization model when the current working error meets the preset error. The display reminder module is used to distribute the work visualization model to the personnel for display reminders.
7. The intelligent control system for a coal yard stacker-reclaimer as described in claim 6, characterized in that, The process monitoring module includes: Array building blocks, used to construct comparison arrays between the resulting parameters and their corresponding standard parameters; The parameter extraction unit is used to extract similar parameters from the comparison array to obtain several subarrays; The comparison unit is used to compare each first difference in the same subarray with the preset difference of the corresponding parameter; A grade calculation unit is used to calculate the difference grade of the same subarray based on the comparison results; Where D represents the difference level corresponding to the same subarray; This represents the parameter value of the i1th parameter in the same subarray; This represents the standard value of the i1th parameter in the same subarray; This represents the preset difference corresponding to the i1th parameter in the same subarray; ln represents the logarithmic function symbol; This represents the weight of the i1th parameter in the same subarray; Indicates from all Get the maximum weight Relevant ratio results; A calibration unit is used to calibrate the corresponding subarray when the difference level is greater than a preset level; The error analysis unit is used to extract the parameter information of each calibrated subarray and input it into the error analysis model to obtain the current working error of the corresponding structural equipment.
8. The intelligent control system for a coal yard stacker-reclaimer as described in claim 6, characterized in that, Visual building blocks, including: The historical information acquisition unit is used to acquire the equipment work items and historical setting scenarios of the institution's equipment corresponding to the historical time period; The initial model building unit is used to simulate and build an initial visualization model according to the device's working items and historical setting scenarios. The model optimization unit is used to optimize the initial visualization model according to the current working parameters and the current working scenario to obtain the working visualization model.
9. The intelligent control system for a coal yard stacker-reclaimer as described in claim 6, characterized in that, The display reminder module includes: The cost analysis unit is used to obtain the content index of each visualization content in the work visualization model, and analyze the index cost of the content index to determine the content cost of the corresponding visualization content. The sorting unit is used to perform a first sort on all item visualization content according to the content cost, and at the same time, to perform a second sort on each indicator content in the same item visualization content according to the indicator cost. The distribution unit is used to obtain the corresponding display sorting distribution based on the first sorting result and the second sorting result; The layout reminder unit is used to display the work visualization model according to the display sorting distribution, and send it to the personnel terminal for display reminder.
10. The intelligent control system for a coal yard stacker-reclaimer as described in claim 6, characterized in that, The matching module includes: The data acquisition unit is used to acquire the stacking shape data of the first adjacent region and the shape data of the second adjacent region from the stacking process; The first analysis unit is used to perform a first analysis on the pile shape data, determine the coal stacking work in the first adjacent area, obtain the coal stacking amount corresponding to the coal stacking work, and determine the required coal stacking equipment. The second analysis unit is used to perform a second analysis on the shape data, determine the coal mining operation in the second adjacent area, obtain the coal mining quantity of the corresponding coal mining operation, and determine the required coal mining equipment. The equipment determination unit is used to identify the coal stacking equipment and the coal taking equipment as corresponding mechanical equipment.