Coal yard information management method and system based on digital twinning

Abstract

The application discloses a kind of based on digital twin coal yard information management method and system, and the present application relates to the technical field of coal yard information management, according to the function type and position of multiple coal yard function areas Determine coal operation route, based on the overall efficiency level of coal yard is determined based on coal operation route and the sub-efficiency level of each coal yard function area, Ensure the accuracy of the overall efficiency level of coal yard, based on the overall efficiency of coal yard is controlled based on the digital twin information base of coal yard.Therefore, based on the detection of multiple coal operation information of each coal yard function area Determine multiple abnormal operation information, and mark corresponding abnormal operation area;In each abnormal operation area, according to the real-time monitoring of abnormal operation area Determine actual operation information, based on actual operation information, multiple abnormal operation information and digital twin information base Determine corresponding operation optimization information, realize the optimization control of digital twin information base to each abnormal operation area.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of coal yard information management, and in particular to a coal yard information management method and system based on digital twinning. BACKGROUND

[0002] With the development of science and technology, the coal yard is a place for storing coal and has multiple coal yard functional areas, each of which has corresponding functions, such as coal mining function, coal storage function, coal transfer function, and coal detection function, etc. Each coal yard functional area has corresponding coal operation information. In the prior art, the information of each coal yard functional area is controlled, and each coal operation information corresponding to each coal yard functional area is collected, without considering the operation state of each coal yard functional area, which affects the evaluation of the sub-efficiency level of the coal yard functional area and the overall efficiency level of the coal yard, resulting in the inability to control the overall efficiency of the coal yard. SUMMARY

[0003] The present application aims to overcome the shortcomings of the prior art, and provides a coal yard information management method and system based on digital twinning.

[0004] The present application provides a coal yard information management method based on digital twinning, which comprises: collecting multiple coal operation information of each coal yard functional area of the coal yard, and determining the operation state of each coal yard functional area according to the multiple coal operation information and the position of the coal yard functional area; in the digital twin information database of the coal yard, determining the sub-efficiency level of the coal yard functional area according to the real-time production index of the coal yard and the operation state of each coal yard functional area; determining the coal operation route according to the function type and position of the multiple coal yard functional areas, and determining the overall efficiency level of the coal yard based on the coal operation route and the sub-efficiency level of each coal yard functional area; if the overall efficiency level of the coal yard is lower than the preset overall efficiency level, determining multiple abnormal operation information based on the detection of the multiple coal operation information of each coal yard functional area, and marking the corresponding abnormal operation area; in each abnormal operation area, determining the actual operation information according to the real-time monitoring of the abnormal operation area, and determining the corresponding operation optimization information based on the actual operation information, the multiple abnormal operation information and the digital twin information database.

[0005] The present application provides a coal yard information management system based on digital twinning, which is applied to the coal yard information management method based on digital twinning described above, and comprises:

[0006] An operation state module is configured to collect multiple coal operation information of each coal yard functional area of the coal yard, and determine the operation state of each coal yard functional area according to the multiple coal operation information and the position of the coal yard functional area;

[0007] a sub-efficiency level module configured to determine a sub-efficiency level of each functional area of the coal yard according to real-time production indexes of the coal yard and operation states of the functional areas in a digital twin information base of the coal yard;

[0008] a whole-efficiency level module configured to determine a coal operation route according to types and positions of the functional areas, and determine a whole-efficiency level of the coal yard based on the coal operation route and the sub-efficiency level of each functional area;

[0009] an abnormal operation module configured to determine a plurality of abnormal operation information based on detection of the plurality of coal operation information of each functional area of the coal yard, and mark corresponding abnormal operation areas if the whole-efficiency level of the coal yard is lower than a preset whole-efficiency level;

[0010] an operation optimization information module configured to determine actual operation information according to real-time monitoring of each abnormal operation area, and determine corresponding operation optimization information based on the actual operation information, the plurality of abnormal operation information and the digital twin information base.

[0011] Compared with the prior art, the present application has the following advantages:

[0012] In the embodiment of the present application, the method determines a coal operation route according to types and positions of a plurality of functional areas of a coal yard, determines a whole-efficiency level of the coal yard based on the coal operation route and the sub-efficiency level of each functional area, introduces the sub-efficiency level of the functional areas of the coal yard for efficiency control of the functional areas of the coal yard, and at the same time, the whole-efficiency level of the coal yard is ensured to be accurate by considering the compatibility of the coal operation route and the sub-efficiency of each functional area of the coal yard, and the whole-efficiency of the coal yard is controlled based on the digital twin information base of the coal yard.

[0013] Therefore, if the whole-efficiency level of the coal yard is lower than the preset whole-efficiency level, a plurality of abnormal operation information is determined based on detection of a plurality of coal operation information of each functional area of the coal yard, and corresponding abnormal operation areas are marked; in each abnormal operation area, actual operation information is determined according to real-time monitoring of the abnormal operation area, and corresponding operation optimization information is determined based on the actual operation information, the plurality of abnormal operation information and the digital twin information base, each abnormal operation area is introduced, and further optimization of the actual operation information and the plurality of abnormal operation information is triggered based on the digital twin information base to ensure the accuracy of the operation optimization information, and the optimization control of the digital twin information base on each abnormal operation area is realized. BRIEF DESCRIPTION OF DRAWINGS

[0014] Figure 1 is a flowchart of the digital twin coal yard information management method in the embodiment of the present application;

[0015] Figure 2 FIG. 1 is a structural composition diagram of a digital twin coal yard information management system in an embodiment of the present application. DETAILED DESCRIPTION

[0016] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application.

[0017] Please refer to Figure 1 and Figure 2 A digital twin coal yard information management method is applied to a digital twin coal yard information management scene. The digital twin coal yard information management method comprises the following steps.

[0018] Step S11: Collecting multiple coal operation information of each coal yard function area of the coal yard, and determining the operation state of each coal yard function area according to the multiple coal operation information and the position of the coal yard function area.

[0019] Step S12: In the digital twin information database of the coal yard, determining the sub-efficiency level of the coal yard function area according to the real-time production index of the coal yard and the operation state of each coal yard function area.

[0020] Step S13: Determining the coal operation route according to the function type and position of the multiple coal yard function areas, and determining the overall efficiency level of the coal yard based on the coal operation route and the sub-efficiency level of each coal yard function area.

[0021] Step S14: If the overall efficiency level of the coal yard is lower than the preset overall efficiency level, determining multiple abnormal operation information based on the detection of the multiple coal operation information of each coal yard function area, and marking the corresponding abnormal operation area.

[0022] Step S15: In each abnormal operation area, determining the actual operation information according to the real-time monitoring of the abnormal operation area, and determining the corresponding operation optimization information based on the actual operation information, the multiple abnormal operation information and the digital twin information database.

[0023] In step S11, multiple coal operation information of each coal yard function area of the coal yard is collected, and the operation state of each coal yard function area is determined according to the multiple coal operation information and the position of the coal yard function area.

[0024] In the specific implementation process of the present application, the specific steps are as follows:

[0025] S111: Determining the distribution map of the coal yard based on the name and position of the coal yard, determining multiple coal yard function areas according to the division of the distribution map of the coal yard, real-time monitoring each coal yard function area, and collecting multiple coal operation information of each coal yard function area.

[0026] S112: In each coal yard function area, a work sequence list of the coal yard function area is determined according to a plurality of coal work information, a plurality of work items are determined based on the division of the work sequence list, and work progress of the plurality of work items is marked;

[0027] S113: A first state coefficient is determined according to the project category of the work item and the corresponding work progress, a second state coefficient is determined according to the project category of the work item and the location of the coal yard function area, and the work state of each coal yard function area is determined based on the first state coefficient, the second state coefficient and the work state mapping relationship.

[0028] In the embodiment of the present application, the basic information of the coal yard such as the name, geographical position coordinates (such as latitude and longitude), and land area is collected; then, the geographic information system (GIS) technology is used to input these information into the GIS software to generate a two-dimensional or three-dimensional distribution map of the coal yard; the distribution map should clearly show the overall layout of the coal yard, including the location, size and connection relationship between each function area of the entrance, exit and each function area; at this time, assuming that there is a coal storage and transfer center named "A coal yard", which occupies an area of about 200,000 square meters, by collecting the basic information of A coal yard, inputting it into the GIS software, a two-dimensional distribution map of A coal yard is generated; in the figure, it can be seen that the entrance of the coal yard is located on the north side, the exit is located on the south side, and multiple function areas such as unloading area, coal storage area, coal blending area and loading area are distributed in the middle; each function area has clear boundaries and identification, which is convenient for subsequent management and monitoring.

[0029] After generating the distribution map of the coal yard, it is necessary to divide the coal yard into multiple function areas according to the actual operation demand of the coal yard and the coal work flow, these function areas include unloading area (for receiving and unloading coal), coal storage area (for storing coal), coal blending area (for coal blending according to customer demand), loading area (for loading the blended coal onto the transport vehicle) and the like; each function area should have clear boundaries and identification for subsequent real-time monitoring and data collection; at this time, in the distribution map of A coal yard, it is divided into four main function areas according to the coal work flow: unloading area, coal storage area, coal blending area and loading area; the unloading area is located on the north side of the coal yard, close to the entrance, which is convenient for receiving and unloading coal; the coal storage area is located in the middle of the coal yard, with the largest area, for storing a large amount of coal; the coal blending area is located between the coal storage area and the loading area, for coal blending according to customer demand; the loading area is located on the south side of the coal yard, close to the exit, which is convenient for loading the blended coal onto the transport vehicle; each function area has clear boundaries and identification, which is convenient for subsequent management and monitoring.

[0030] After determining the functional areas of the coal yard, Internet of Things sensors, video monitoring equipment, and other devices need to be installed in each functional area to monitor the coal operation in real time. These devices collect multiple coal operation information, including coal flow, stockpile volume, equipment operating status, and personnel operation conditions. This information is transmitted to the digital twin coal yard information management system in real time for analysis and decision-making by management personnel.

[0031] Further, multiple coal operation information is collected for each functional area of the coal yard. The operation information includes coal flow, stockpile volume, equipment operating status, and operation conditions of personnel. Through data analysis and processing, the operation process and sequence in each functional area are determined. The operation sequence table is a detailed operation process guide that describes which operation items should be performed in each functional area, as well as the execution order and interdependence of these operation items. At this time, for each functional area such as the coal unloading area, coal storage area, coal blending area, and loading area, the operation process and sequence in each area are analyzed based on real-time collected coal operation information. For example, in the coal unloading area, the operation process includes coal receiving, unloading, weighing, and stacking. In the coal storage area, the operation process includes coal storage, stacking, inventory, and delivery. In the coal blending area, the operation process includes coal blending, mixing, and quality inspection. In the loading area, the operation process includes coal loading, weighing, sealing, and dispatching. Through analysis of these operation processes and sequences, a detailed operation sequence table is developed for each functional area.

[0032] After determining the operation sequence table for each functional area, the operation sequence table needs to be further refined into specific operation items. Operation items refer to specific activities that complete a specific task or operation, and they are the smallest unit in the operation sequence table. By dividing operation items, the specific work content and responsibility allocation in each functional area are more clearly understood. At this time, taking the coal unloading area as an example, the "coal receiving, unloading, weighing, and stacking" links in the operation sequence table are further refined into specific operation items. For example, "coal receiving" is refined into "vehicle entry registration," "coal quality inspection," and "vehicle guidance to the unloading area." "Coal unloading" is refined into "starting the unloading equipment," "monitoring the unloading process," and "recording the unloading volume." "Coal weighing" is refined into "moving the coal to the weighing platform," "starting the weighing equipment," and "recording the weighing results." "Coal stacking" is refined into "selecting the stacking location," "operating the stacker for stacking," and "recording the stacking information."

[0033] After determining the work items and work order of each functional area, the execution progress of each work item needs to be tracked and marked in real time; the marking of work progress helps the manager to know the completion of each work item in time, and whether there is delay or bottleneck problem, which helps the manager to take measures to adjust and optimize in time; at this time, for each work item, a progress marking field is set to record the current execution state of the work item; for example, the states of "not started", "in progress", "completed" and "abnormal" are used to describe the progress of the work item; at the same time, a predicted completion time and actual completion time field is set for each work item, so that the manager can compare the predicted time and actual time to evaluate the execution efficiency and delay of the work item.

[0034] Therefore, the first state coefficient is determined according to the project type of the work item and the corresponding work progress, the second state coefficient is determined according to the project type of the work item and the location of the coal yard functional area, and the work state of each coal yard functional area is determined based on the first state coefficient, the second state coefficient and the work state mapping relationship, which is compatible with the overall consideration of the first state coefficient, the second state coefficient and the work state mapping relationship, and ensures the accuracy of the work state of each coal yard functional area.

[0035] At this time, the first state coefficient is an important index for evaluating the execution efficiency and progress of the work item in the coal yard functional area; it comprehensively considers the type of the work item (such as whether it is a key work, work difficulty, etc.) and the corresponding work progress (such as the percentage of completion, whether it is completed on time, etc.); different types of work items have different influences on the operation of the coal yard, so different weights need to be given according to the project type; at the same time, the work progress reflects the actual execution of the work item, which is the key basis for evaluating the work efficiency; when determining the first state coefficient, first set a basic weight for each work item, which is determined according to the type and importance of the work item; then, according to the real-time collected work progress information, calculate the completion degree of each work item, and combine the basic weight to calculate the first state coefficient by weighted average or other algorithms.

[0036] Optionally, taking the unloading area of A coal yard as an example, the work items are divided into two categories: key work and non-key work, and a basic weight is set for each type of work; for example, the basic weight of key work (such as coal quality inspection, vehicle guidance to unloading area, etc.) is set to 1.0, and the basic weight of non-key work (such as vehicle entry registration, recording unloading volume, etc.) is set to 0.5; then, according to the real-time collected work progress information, the completion degree of each work item is calculated; for example, a key work has been completed 80%, so the completion degree is 0.8; a non-key work has been completed 50%, so the completion degree is 0.5; finally, the first state coefficient of the unloading area is calculated by weighted average algorithm.

[0037] The second state coefficient is an index for evaluating the importance and position influence of the coal yard functional area in the overall operation; it also considers the types of operation items, but focuses more on the position relationship of the operation items in the layout of the coal yard functional area and the influence on adjacent functional areas; the influence degree of operation items in different positions on the overall operation of the coal yard is different, so different weights need to be given according to the position relationship; when determining the second state coefficient, first, a position weight is set for each operation item, which is determined according to the position of the operation item in the layout of the coal yard functional area and the influence on adjacent functional areas; then, the types of operation items and the position weight are combined, and the second state coefficient is calculated by weighted average or other algorithms.

[0038] Optionally, according to the position relationship of the operation items in the layout of the unloading area and the influence on adjacent functional areas (such as the coal storage area, the coal blending area, etc.), a position weight is set for each operation item; for example, the operation item (such as vehicle entry registration) located at the entrance of the unloading area has a greater influence on the subsequent operation process, so the position weight is higher; while the operation item (such as recording the unloading amount) located inside the unloading area has a smaller influence on the adjacent functional areas, so the position weight is lower; then, the types of operation items and the position weight are combined, and the second state coefficient of the unloading area is calculated by weighted average algorithm.

[0039] After the first state coefficient and the second state coefficient are determined, they need to be converted into specific operation states according to the preset operation state mapping relationship; the operation state mapping relationship is a preset rule table or algorithm, which defines the operation state corresponding to different coefficient combinations; the operation state is a qualitative description (such as busy, idle, fault, etc.) and also a quantitative index (such as efficiency level, congestion degree, etc.); when determining the operation state, the first state coefficient and the second state coefficient are taken as input, and the corresponding operation state is output by looking up the operation state mapping relationship table or executing the corresponding algorithm. At this time, a operation state mapping relationship table is preset, which defines the operation state corresponding to different combinations of the first state coefficient and the second state coefficient; for example, when the first state coefficient and the second state coefficient are both high, the operation state is “busy and efficient”; when the first state coefficient is low and the second state coefficient is high, the operation state is “congestion but key operation normal”; when both coefficients are low, the operation state is “idle or inefficient”; then, according to the first state coefficient and the second state coefficient calculated in real time, the operation state of the unloading area and other functional areas is determined by looking up the operation state mapping relationship table.

[0040] Optionally, assuming that at a certain moment, the first state coefficient of the coal unloading area of the A coal yard is 0.8 (indicating that the operation project execution efficiency and progress are higher), and the second state coefficient is 0.9 (indicating that the importance and position influence of the coal unloading area in the overall operation are higher); according to the preset operation state mapping relationship table, the operation state of the coal unloading area is determined as "busy and efficient", which means that the coal unloading area is currently working efficiently, but faces certain operation pressure; the management personnel adjusts the resource allocation or optimizes the operation process in time according to the operation state, so as to ensure the stable operation of the coal unloading area.

[0041] In step S12, in the digital twin information library of the coal yard, the sub-efficiency level of the coal yard functional area is determined according to the real-time production index of the coal yard and the operation state of each coal yard functional area;

[0042] In the specific implementation process of the present application, the specific steps are as follows:

[0043] S121: In the coal yard, a plurality of operation information of each coal yard functional area is collected, an information space of each coal yard functional area is constructed according to the plurality of operation information, and a digital twin information library of the coal yard is constructed based on the information space of each coal yard functional area, the correlation between each coal yard functional area and the digital twin framework;

[0044] S122: Real-time monitoring of the digital twin information library of the coal yard, and collecting the real-time production index of the coal yard, determining the operation load of each coal yard functional area according to the analysis of the real-time production index of the coal yard, and determining the first sub-efficiency coefficient based on the operation load of each coal yard functional area and the operation state of each coal yard functional area;

[0045] S123: Determining the second sub-efficiency coefficient based on the operation load of each coal yard functional area and the real-time operation data of each coal yard functional area, and determining the sub-efficiency level of the coal yard functional area based on the first sub-efficiency coefficient, the second sub-efficiency coefficient and the sub-efficiency level mapping relationship.

[0046] In the embodiments of the present application, sensors, monitoring cameras, RFID tag readers and other equipment are deployed in various functional areas of the coal yard, such as the coal unloading area, the coal storage area, the coal blending area, the loading area, etc., to collect real-time operation information, including but not limited to the flow of coal, the stockpile volume, the equipment operating status (such as the speed of the conveyor belt, the power of the crusher, etc.), the operation of the personnel (such as the location of the personnel, the operation time, etc.), the environmental monitoring data (such as the temperature, the humidity, the dust concentration, etc.). At this time, in the coal unloading area, a weight sensor is installed on the conveyor belt to measure the flow of coal in real time; at the same time, a camera is deployed to monitor the unloading process of the vehicle to ensure the safety of the operation; in the coal storage area, a laser range finder or radar is used to measure the stockpile volume of the coal, and the GPS positioning technology is used to track the position and working status of the stacker-reclaimer; in the coal blending area, sensors are installed to monitor the operating status of the coal blending equipment, such as the feeding amount of the feeder, the mixing ratio of the mixer, etc.; at the same time, RFID tags are used to track the batches of coal to ensure the accuracy of the blending; in the loading area, weight sensors and volume measuring equipment are installed on the loader to measure the weight and volume of the loaded coal in real time; at the same time, cameras are used to monitor the loading process to prevent overloading or improper loading.

[0047] After collecting the operation information of each functional area, it is necessary to integrate these information into a unified information space; the information space is a virtual, digital representation that contains all relevant operation information of the functional areas of the coal yard and their mutual relationships, which are stored in the form of databases, data warehouses or data lakes, and are organized and managed through data models; at this time, a database table or data model is created for each functional area to store the operation information of the area; for example, the database table of the coal unloading area includes fields such as coal flow, vehicle information, unloading time, etc.; the collected operation information is imported into the corresponding database table or data model using data integration tools (such as ETL tools); in the information space, the relationships between data are established, such as the association between coal flow and vehicle information, the association between equipment status and operation time, etc.

[0048] Digital twin is a comprehensive system integrating physical entities, information spaces, and virtual services. In the context of a coal yard, the digital twin information base is a database that integrates the information spaces of all functional areas of the coal yard. It can reflect the actual operation status of the coal yard in real time and support functions such as simulation, prediction, and optimization. To build a digital twin information base, it is necessary to first define the relationships between the functional areas of the coal yard, such as logistics relationships (coal flows from the unloading area to the storage area), equipment sharing relationships (multiple functional areas share a piece of equipment), and personnel allocation relationships. Then, based on these relationships and the digital twin framework (such as model-based definition (MBD) and system modeling and simulation), the information spaces of each functional area are integrated into a unified digital twin information base. At this point, the relationships between the functional areas of the coal yard are defined, and the corresponding data models or relationship diagrams are established in the digital twin information base. For example, a flowchart representing the logistics path of coal is created, connecting the unloading area, storage area, blending area, and loading area. Using the tools or platforms provided by the digital twin framework (such as simulation software and data visualization tools), the information spaces of each functional area are integrated into the digital twin information base, which requires format conversion, data cleaning, and data fusion of data from different sources. In the digital twin information base, a real-time data updating mechanism is established to ensure that the digital twin model can reflect the actual operation status of the coal yard in real time. This requires integration with the monitoring system or automation system of the coal yard to achieve real-time data acquisition and updating.

[0049] Specifically, the digital twin information base contains all the operation information of the unloading area, storage area, blending area, and loading area and their relationships. Through the digital twin information base, management personnel can view the operation status of the coal yard in real time, such as the flow of coal, the stockpile volume, and the equipment operation status. At the same time, they use simulation tools provided by the digital twin framework to simulate and predict the operation of the coal yard to optimize the operation strategy. For example, they simulate the equipment operation status under different coal flows to determine the optimal equipment configuration and scheduling scheme.

[0050] Further, the digital twin technology is used to monitor the digital twin information base of the coal yard in real time. The digital twin information base contains the operation information of each functional area of the coal yard and their relationships. Through real-time monitoring, the real-time operation status of the coal yard is obtained, which usually involves the integration of one or more monitoring systems. These systems can collect operation data of the coal yard in real time and transmit them to the digital twin information base for processing and analysis. At this point, the monitoring systems of the coal yard are integrated to ensure that real-time data can be accurately and timely transmitted to the digital twin information base. The refresh frequency of the monitoring interface is set to ensure that the digital twin model can reflect the actual operation status of the coal yard in real time. Real-time monitoring tools provided by the digital twin platform, such as dashboards and data visualization interfaces, are used to monitor the operation status of the coal yard in real time.

[0051] While monitoring the digital twin information base of the coal yard in real time, it is necessary to collect real-time production indicators of the coal yard. These production indicators include the processing capacity of coal, the utilization rate of equipment, the energy consumption, the efficiency of workers, etc. These indicators can reflect the overall operation efficiency of the coal yard and the work load of each functional area. At this time, according to the operation requirements of the coal yard and the capabilities of the monitoring system, the real-time production indicators to be collected are determined. The monitoring system is configured to collect these indicators and ensure the accuracy and integrity of the data. The collected real-time production indicators are stored in the digital twin information base for subsequent processing and analysis.

[0052] After collecting the real-time production indicators of the coal yard, these indicators need to be analyzed to determine the work load of each functional area of the coal yard. Work load refers to the amount of work or tasks that a functional area needs to handle in the current time period. This usually involves calculating and analyzing real-time production indicators to determine the work load of each functional area. At the same time, the collected real-time production indicators are preprocessed, such as data cleaning and data conversion, to ensure the accuracy and consistency of the data. Data analysis tools or algorithms are used to calculate and analyze real-time production indicators to determine the work load of each functional area, which involves methods such as comparison of historical data, trend analysis, and statistical analysis. The calculated work load is stored in the digital twin information base for subsequent processing and decision support.

[0053] After determining the work load of each functional area of the coal yard, the first sub-efficiency coefficient needs to be determined in combination with the work state of these functional areas. The work state includes high-efficiency operation, normal operation, low-efficiency operation, or failure, etc. The first sub-efficiency coefficient is an indicator reflecting the efficiency of the functional area and the matching degree of the load. When the work load matches the work capacity of the functional area and the work state is good, the first sub-efficiency coefficient is higher. Conversely, it is lower. At the same time, according to the operation requirements of the coal yard and the actual situation, the work state classification of each functional area and the corresponding efficiency coefficient range are determined. The work load and work state of the functional area are combined to calculate the first sub-efficiency coefficient. The calculated first sub-efficiency coefficient is stored in the digital twin information base for subsequent processing and decision support. At the same time, the first sub-efficiency coefficient is visualized and displayed on the monitoring interface, so that the management personnel can real-time understand the operation efficiency of the coal yard.

[0054] Specifically, assuming that the digital twin information base of A coal yard has monitored and collected real-time production indicators in real time, including the handling capacity of coal, the utilization rate of equipment, etc., through the analysis of these indicators, the management personnel find that the work load of the unloading area is high, while the work load of the storage area is moderate; at the same time, according to the data of the monitoring system, the unloading area is in an efficient operation state, while the storage area is in a normal operation state; based on this information, the management personnel use a predetermined algorithm or rule to calculate the first sub-efficiency coefficient; for the unloading area, since its work load is high and it is in an efficient operation state, the calculated first sub-efficiency coefficient is relatively high; while for the storage area, although its work load is moderate, it is in a normal operation state (still has certain room for improvement), so the calculated first sub-efficiency coefficient is moderate;

[0055] The management personnel further analyze the operation efficiency of the coal yard according to these first sub-efficiency coefficients, and take corresponding measures to optimize the operation strategy of the coal yard; for example, increase the investment of work resources in the unloading area to improve its work efficiency; at the same time, optimize and adjust the storage area to improve its operation state to an efficient operation.

[0056] Therefore, the second sub-efficiency coefficient is determined based on the work load of each functional area of the coal yard and the real-time work data of each functional area of the coal yard, the sub-efficiency level of the functional area of the coal yard is determined based on the first sub-efficiency coefficient, the second sub-efficiency coefficient and the sub-efficiency level mapping relationship, which takes into account the overall consideration of the first sub-efficiency coefficient, the second sub-efficiency coefficient and the sub-efficiency level mapping relationship, and ensures the accuracy of the sub-efficiency level of the functional area of the coal yard.

[0057] At this time, the second sub-efficiency coefficient is determined by comprehensively considering the work load and real-time work data of each functional area of the coal yard; the real-time work data includes but is not limited to equipment failure rate, work personnel efficiency, environmental monitoring data (such as temperature, humidity, dust concentration), energy consumption rate, etc., which can reflect the work efficiency and work quality inside the functional area; the second sub-efficiency coefficient is a comprehensive index that combines work load and real-time work data to evaluate the operation efficiency of the functional area; when the work load is moderate and the real-time work data indicates high work efficiency and good quality, the second sub-efficiency coefficient is higher; otherwise, it is lower.

[0058] At this time, the real-time work data of each functional area is collected and sorted to ensure the accuracy and integrity of the data; according to the operation requirements and actual situation of the coal yard, the key factors and weights affecting the second sub-efficiency coefficient are determined; using data analysis tools or algorithms, the work load and real-time work data are combined to calculate the second sub-efficiency coefficient; the calculated second sub-efficiency coefficient is stored in the digital twin information base for subsequent processing and decision support.

[0059] After the first sub-efficiency coefficient and the second sub-efficiency coefficient are determined, a sub-efficiency level of the functional area of the coal yard needs to be determined in combination with a sub-efficiency level mapping relationship; the sub-efficiency level mapping relationship is a predetermined rule or algorithm, which maps the combination of the first sub-efficiency coefficient and the second sub-efficiency coefficient to a specific sub-efficiency level; the sub-efficiency level is a qualitative description (such as high efficiency, medium efficiency, low efficiency, etc.) or a quantitative index (such as an efficiency index, a score, etc.), which can directly reflect the operation efficiency of the functional area and provide decision support for the management personnel.

[0060] At this time, the sub-efficiency level mapping relationship is formulated according to the operation demand and actual situation of the coal yard, which involves standardization processing, level division and other methods of the first sub-efficiency coefficient and the second sub-efficiency coefficient; the sub-efficiency level of the functional area of the coal yard is determined by using the sub-efficiency level mapping relationship in combination with the first sub-efficiency coefficient and the second sub-efficiency coefficient; the determined sub-efficiency level is stored in the digital twin information base and visualized on the monitoring interface, so that the management personnel can understand the operation efficiency of the coal yard in real time.

[0061] Specifically, it is assumed that the digital twin information base of the A coal yard already contains the operation load, real-time operation data, first sub-efficiency coefficient and second sub-efficiency coefficient of each functional area; now, the management personnel need to determine the sub-efficiency level of the functional area of the coal yard according to these information; taking the unloading area as an example, its first sub-efficiency coefficient is high (indicating that the operation load matches the operation capacity and the operation state is good), and its second sub-efficiency coefficient is also high (indicating that the operation efficiency is high and the quality is good); according to the pre-formulated sub-efficiency level mapping relationship, the management personnel determines the sub-efficiency level of the unloading area as “high efficiency”.

[0062] Similarly, for the coal storage area, although its first sub-efficiency coefficient is moderate (indicating that the operation load basically matches the operation capacity but there is room for improvement), its second sub-efficiency coefficient is low (indicating that the operation efficiency or quality needs to be improved); therefore, according to the sub-efficiency level mapping relationship, the management personnel determines the sub-efficiency level of the coal storage area as “medium efficiency”; the management personnel further analyzes the operation efficiency of the coal yard according to these sub-efficiency levels and takes corresponding measures to optimize the operation strategy of the coal yard; for example, for the “high efficiency” unloading area, its good state is maintained; and for the “medium efficiency” coal storage area, in-depth analysis needs to be conducted on the reason for its low second sub-efficiency coefficient, and corresponding improvement measures are taken to improve the operation efficiency and quality.

[0063] In some embodiments of the present application, after the first sub-efficiency coefficient and the second sub-efficiency coefficient are determined, the sub-efficiency level of the functional area of the coal yard needs to be determined in combination with the sub-efficiency level mapping relationship; similarly, a matching table is used to directly display this process; a pre-set sub-efficiency level matching table is collected, which is shown in Table 1:

[0064] Table 1 sub-efficiency level matching table

[0065] First sub-efficiency coefficient Second sub-efficiency coefficient Sub-efficiency class 0.8 and above 0.8 and above High efficiency 0.6-0.79 0.6-0.79 Medium efficiency 0.4-0.59 0.4-0.59 Low efficiency 0.4 and below 0.4 and below No efficiency

[0066] Optionally, assuming that the first sub-efficiency coefficient of the coal unloading area of a certain coal yard is 0.85, and the second sub-efficiency coefficient is 0.9; according to the sub-efficiency level matching table, the sub-efficiency level of the coal unloading area is determined as "high efficiency"; similarly, for the coal storage area, assuming that the first sub-efficiency coefficient is 0.65, and the second sub-efficiency coefficient is 0.7; according to the sub-efficiency level matching table, the sub-efficiency level of the coal storage area is determined as "medium efficiency"; the management personnel further analyzes the operation efficiency of the coal yard according to these sub-efficiency levels, and takes corresponding measures to optimize the operation strategy of the coal yard.

[0067] In step S13, the coal operation route is determined according to the function types and positions of the multiple coal yard function areas, and the overall efficiency level of the coal yard is determined based on the coal operation route and the sub-efficiency levels of the multiple coal yard function areas;

[0068] In the specific implementation process of the present application, the specific steps are as follows:

[0069] S131: Collect the positions of the multiple coal yard function areas, determine the relative positions between the multiple coal yard function areas according to the comparison of the positions of the multiple coal yard function areas, and determine the coal transportation space according to the relative positions between the multiple coal yard function areas and the distribution map of the coal yard;

[0070] S132: Collect the function types of the multiple coal yard function areas, construct the coal process route according to the function types of the multiple coal yard function areas, determine the coal operation route according to the coal process route, the coal transportation space and the distribution map of the coal yard, and at this time, dynamically regulate the coal operation route based on the priority of the multiple coal yard function areas;

[0071] S133: Mark the sub-efficiency levels of the multiple coal yard function areas in the coal operation route, determine the overall efficiency coefficient of the coal yard according to the positions, sub-efficiency levels of the multiple coal yard function areas and the route length of the coal operation route, and determine the overall efficiency level of the coal yard based on the matching of the overall efficiency coefficient of the coal yard and the overall efficiency level mapping relationship.

[0072] In the embodiment of the present application, the positions of the multiple coal yard function areas are collected, the relative positions between the multiple coal yard function areas are determined according to the comparison of the positions of the multiple coal yard function areas, and the coal transportation space is determined according to the relative positions between the multiple coal yard function areas and the distribution map of the coal yard, which is compatible with the overall consideration of the relative positions between the multiple coal yard function areas and the distribution map of the coal yard, and ensures the accuracy of the coal transportation space.

[0073] At this time, the positions of multiple functional areas in the coal yard are collected, which usually involves the use of geographic information systems (GIS), unmanned aerial photography, on-site surveying, or existing design drawings; the position information should include but is not limited to the center point coordinates, boundary coordinates, area, and orientation and distance relative to the coal yard entrance or a certain fixed point; at this time, using GIS software or map services, through satellite images or on-site surveying data, the precise positions of each functional area in the coal yard are marked; if the coal yard has design drawings, the position information is directly obtained from the drawings and verified through on-site comparison; for coal yard A, an unmanned aerial vehicle is needed for aerial photography to obtain more comprehensive position information.

[0074] After collecting the position information of each functional area, these information needs to be compared to determine the relative position relationship between the functional areas, including the distance, direction, and adjacent relationship between the functional areas, which are crucial for subsequent planning of coal transportation space; at this time, using the measurement tools in GIS software, the straight-line distance or shortest path distance between each functional area is calculated; the relative direction between the functional areas is determined, such as east, south, west, north, or specific angles; the adjacent relationship between the functional areas is identified to determine which areas are directly connected and which areas need to be connected through other areas.

[0075] After determining the relative positions between the functional areas, the space required for coal transportation between different functional areas needs to be planned in combination with the overall distribution map of the coal yard, including the width, length, turning radius, and other parameters of the transportation channel, as well as the necessary buffer zones, transfer stations, or loading and unloading points; at the same time, according to the relative positions between the functional areas and the overall layout of the coal yard, a preliminary route map for coal transportation is drawn; considering the types and sizes of coal transportation vehicles, the width and height limits of the transportation channel are determined; necessary buffer zones are set in the transportation route map to avoid traffic congestion and accident risks; according to the process of coal handling, the location and scale of transfer stations or loading and unloading points are determined; finally, combined with the actual situation and operation requirements of the coal yard, the transportation space is refined and optimized.

[0076] Specifically, assume there is an A coal yard, which includes unloading area, storage area, crushing and screening area, and loading area four main functional areas; First, through the GIS software to collect the position information of the four areas, and determine their relative position relationship; For example, the unloading area is located near the entrance of the coal yard, the storage area is located on the north side of the unloading area, the crushing and screening area is located on the east side of the storage area, and the loading area is located on the south side of the crushing and screening area; Next, according to these relative positions and the overall distribution map of the coal yard, the coal transportation space is planned; Considering the type and size of the coal transportation vehicle, the width of the transportation channel is determined to be 8 meters, and the height limit is 5 meters; A direct transportation channel is set up between the unloading area and the storage area, which is wide enough to accommodate two transportation vehicles passing through in parallel; Between the storage area and the crushing and screening area, due to the long distance and complex terrain, multiple buffer zones and transfer stations are set up to ensure smooth and safe coal transportation; Finally, between the crushing and screening area and the loading area, an efficient transportation route is planned to reduce the processing time and cost of coal.

[0077] Further, the function types of the multiple coal yard functional areas are collected, and the coal process route is constructed according to the function types of the multiple coal yard functional areas. The coal operation route is determined according to the coal process route, coal transportation space and distribution map of the coal yard. At this time, the coal operation route is dynamically regulated based on the priority of the multiple coal yard functional areas, which is compatible with the overall consideration of the coal process route, coal transportation space and distribution map of the coal yard, ensuring the accuracy of the coal operation route.

[0078] At this time, the main function types of each functional area in the coal yard are determined; The function type is usually determined based on the operation demand of the coal yard and the coal handling process, including unloading, storage, crushing, screening, mixing, loading, quality inspection and other links; Each functional area undertakes one or more function types, and the function type configuration of different coal yards is different. After determining the function types of each functional area, the coal process route needs to be constructed according to the whole processing flow of coal from raw materials to finished products; The process route should cover all key steps from entering the coal yard to the final loading and leaving the factory, to ensure that the coal can be efficiently processed according to the predetermined process; At this time, according to the demand of coal handling, the necessity and order of each process are determined; Match each process with the corresponding functional area to form a preliminary process route; Considering the continuity, efficiency and safety of coal handling, the process route is optimized and adjusted.

[0079] After constructing the process route of coal, it is necessary to further determine the specific coal operation route in combination with the distribution map of coal transportation space and coal yard. The operation route should consider the transportation mode, transportation distance, transportation time, and transfer and storage requirements of coal between different functional areas. At this time, all functional areas involved in the process route are marked on the coal yard distribution map. According to the relative position between functional areas and the coal transportation space, the best path of coal transportation between different areas is planned. The type, capacity and efficiency of coal transportation equipment, as well as the safety and environmental protection requirements in the transportation process are considered. If necessary, transfer stations or buffer zones are set up to balance the demand for coal handling and transportation capacity.

[0080] The functional areas of the coal yard may face different priorities due to various reasons such as equipment failure, raw material shortage, market demand changes, etc. Therefore, it is necessary to dynamically regulate the coal operation route according to the priority of the functional area to ensure the overall operation efficiency and benefit of the coal yard. At the same time, an evaluation system of functional area priority is established, including equipment status, raw material inventory, product demand and other dimensions. The operation status of the functional area is monitored in real time, and the changes in priority are discovered and evaluated in a timely manner. According to the changes in priority, the coal operation route is dynamically adjusted, such as prioritizing the handling of coal in high-priority areas, adjusting the transportation sequence or adding transfer stations, etc. Through information means such as dispatching system, monitoring system, etc., the dynamic regulation and visual display of the coal operation route are realized.

[0081] Specifically, assuming that an A coal yard contains five main functional areas: unloading area, storage area, crushing and screening area, mixing area and loading area. First of all, through field investigation and communication with management personnel, the specific function types of each functional area are clarified, such as the unloading area is responsible for receiving and unloading coal, the storage area is used for temporary storage of coal, the crushing and screening area is used for crushing and screening of coal, the mixing area is used for mixing of coal according to customer demand, and the loading area is responsible for loading the processed coal out of the factory. Then, according to the coal processing flow, the process route of coal is constructed: coal enters the coal yard from the unloading area, is temporarily stored in the storage area, then enters the crushing and screening area for processing, then is mixed in the mixing area according to customer demand, and finally is loaded out of the factory by the loading area.

[0082] In determining the coal operation route, considering the layout of the coal yard and the transportation space, a transportation path from the coal unloading area to the coal storage area, then to the crushing and screening area, the mixing area, and finally to the loading area is planned. At the same time, a transfer station is set between the crushing and screening area and the mixing area to balance the demand and transportation capacity of coal handling. Optionally, if the coal inventory of the coal storage area is close to saturation, while the processing capacity of the crushing and screening area is still rich, at this time, by adjusting the coal operation route, the newly unloaded coal is preferentially sent to the crushing and screening area for processing, to reduce the pressure of the coal storage area. At the same time, through information means, the operation state of each functional area is monitored in real time, and the coal operation route is dynamically adjusted according to the change of priority to ensure the overall operation efficiency and benefit of the coal yard.

[0083] Therefore, the sub-efficiency level of each coal yard functional area is marked in the coal operation route, the overall efficiency coefficient of the coal yard is determined according to the position of each coal yard functional area, the sub-efficiency level and the route length of the coal operation route, the overall efficiency level of the coal yard is determined based on the matching of the overall efficiency coefficient and the overall efficiency level mapping relationship of the coal yard, the overall consideration of the matching of the overall efficiency coefficient and the overall efficiency level mapping relationship of the coal yard is compatible, the accuracy of the overall efficiency level of the coal yard is guaranteed, at the same time, the sub-efficiency level of the coal yard functional area is introduced, the efficiency of the coal yard functional area is controlled, at the same time, the overall consideration of the coal operation route and the sub-efficiency of each coal yard functional area is compatible, the accuracy of the overall efficiency level of the coal yard is guaranteed, and the overall efficiency of the coal yard is controlled based on the digital twin information base of the coal yard.

[0084] At this time, the efficiency of each coal yard functional area involved in the coal operation route is evaluated, and their sub-efficiency levels are marked; the sub-efficiency level is usually determined based on multiple factors such as processing capacity, equipment status, personnel configuration, historical operation data of the functional area; these levels are qualitative (such as high, medium, low) or quantitative (such as specific efficiency values or percentages); At this time, the historical operation data of each functional area is collected, including processing capacity, equipment failure rate, personnel attendance rate, etc.; According to the collected data, the efficiency of each functional area is evaluated, and its sub-efficiency level is determined; In the diagram or system of the coal operation route, the sub-efficiency level of each functional area is marked for subsequent analysis and optimization.

[0085] After determining the sub-efficiency levels of each functional area, the location, sub-efficiency level, and route length of the coal handling route need to be considered to calculate the overall efficiency coefficient of the coal yard, which is a comprehensive indicator reflecting the overall operational efficiency of the coal yard under the given handling route. At this time, the transportation time and cost are calculated according to the location of the functional area and the route length of the coal handling route. The sub-efficiency level of each functional area is converted into an efficiency value or weight for quantitative analysis. The overall efficiency coefficient of the coal yard is calculated using weighted average method or other appropriate methods by considering transportation time, cost, and efficiency value or weight of each functional area.

[0086] After calculating the overall efficiency coefficient of the coal yard, it needs to be matched with the pre-set overall efficiency level mapping relationship to determine the overall efficiency level of the coal yard. This mapping relationship is usually a piecewise function or lookup table that maps the efficiency coefficient to the corresponding efficiency level. At the same time, the overall efficiency level mapping relationship is set to clearly define the efficiency level corresponding to different efficiency coefficient ranges. The overall efficiency level of the coal yard is determined by matching the calculated overall efficiency coefficient with the mapping relationship. Based on the overall efficiency level, appropriate operational strategies and optimization measures are developed to improve the operational efficiency of the coal yard.

[0087] Specifically, assume that an A coal yard contains five functional areas: unloading area, storage area, crushing and screening area, mixing area, and loading area. First, the efficiency of each functional area is evaluated, and their sub-efficiency levels are marked. For example, the unloading area and loading area are rated as high efficiency level due to advanced equipment and sufficient personnel allocation. The storage area and mixing area are rated as medium efficiency level due to good historical operational data. The crushing and screening area is rated as low efficiency level due to aging equipment and high failure rate.

[0088] Next, the transportation time and cost are calculated according to the location of the functional area and the route length of the coal handling route. Then, the sub-efficiency level of each functional area is converted into an efficiency value, such as 1.0 for high efficiency level, 0.8 for medium efficiency level, and 0.6 for low efficiency level. Finally, the overall efficiency coefficient of the coal yard is calculated using weighted average method by considering transportation time, cost, and efficiency value of each functional area, which is 0.82. According to the pre-set overall efficiency level mapping relationship, the efficiency level corresponding to 0.82 is medium-high level. Based on this overall efficiency level, the coal yard develops appropriate operational strategies and optimization measures, such as upgrading and maintaining equipment in the crushing and screening area to improve the efficiency level of this area. At the same time, the coal handling route is optimized to reduce transportation time and cost, further improving the overall operational efficiency of the coal yard.

[0089] In step S14, if the overall efficiency level of the coal yard is lower than the preset overall efficiency level, a plurality of abnormal operation information is determined based on detection of the plurality of coal operation information of each coal yard functional area, and the corresponding abnormal operation area is marked;

[0090] In the implementation of the present application, the specific steps are:

[0091] S141: Collect the digital twin information base of the coal yard, determine the preset overall efficiency level based on detection of the digital twin information base of the coal yard, and compare the overall efficiency level of the coal yard with the preset overall efficiency level;

[0092] S142: If the overall efficiency level of the coal yard is lower than the preset overall efficiency level, abnormal detection is performed on each coal yard functional area, and in the abnormal detection of each coal yard functional area, a plurality of coal operation information of each coal yard functional area is collected, and a plurality of abnormal operation information is determined according to detection of the plurality of coal operation information of each coal yard functional area;

[0093] S143: In the digital twin information base of the coal yard, the corresponding abnormal operation position is determined based on the tracing of the plurality of abnormal operation information, and the corresponding abnormal operation area is determined according to the synthesis of each abnormal operation position, so as to mark the abnormal operation area.

[0094] In the embodiment of the present application, the digital twin information base of the coal yard is collected, the preset overall efficiency level is determined based on detection of the digital twin information base of the coal yard, and the overall efficiency level of the coal yard is compared with the preset overall efficiency level, which is compatible with the overall consideration of the detection of the digital twin information base of the coal yard, and ensures the accuracy of the preset overall efficiency level.

[0095] At this time, the digital twin information base of the coal yard is collected; the digital twin information base is a virtual model that integrates the actual operation data of the coal yard, which reflects the actual running state and various parameters of the coal yard, including but not limited to the layout of the coal yard, the equipment state, the operation process, the yield data, the energy consumption data, the personnel configuration, etc. After the digital twin information base of the coal yard is collected, the next step is to detect and determine the preset overall efficiency level of the coal yard based on these information; the preset overall efficiency level is a standard set based on the ideal operation state or the historical optimal performance of the coal yard, which is used to evaluate whether the operation efficiency of the coal yard reaches the expected or ideal state.

[0096] To determine the preset overall efficiency level, the data in the digital twin information library needs to be analyzed and mined in depth using methods such as machine learning algorithms, data mining techniques, or expert systems. By analyzing factors such as the layout of the coal yard, equipment status, and operation process, the operating efficiency of the coal yard in an ideal state is predicted, and this is set as the preset overall efficiency level. At this time, the data in the digital twin information library is analyzed in depth. According to the analysis results, the operating efficiency of the coal yard in an ideal state is predicted. The predicted operating efficiency is set as the preset overall efficiency level of the coal yard.

[0097] After determining the preset overall efficiency level of the coal yard, the next step is to compare the current overall efficiency level of the coal yard with the preset level. The current overall efficiency level is obtained by real-time monitoring and analysis of the actual operation data of the coal yard. The purpose of comparison is to determine whether the operating efficiency of the coal yard has reached the expected or ideal state, so as to timely find out the problems and bottlenecks in operation. At this time, the actual operation data of the coal yard, such as yield, energy consumption, equipment status, etc., is monitored in real time. Using data analysis technology, the real-time monitored data is processed and analyzed to obtain the current overall efficiency level of the coal yard. The current overall efficiency level is compared with the preset overall efficiency level to determine whether the operating efficiency of the coal yard meets the standard.

[0098] Specifically, assume that coal yard A uses digital twin technology to monitor and optimize its operating efficiency. First, the coal yard installs sensors at key locations using Internet of Things technology to monitor various parameters of the coal yard in real time and transmits these data to the digital twin model, forming a complete digital twin information library. Then, the coal yard uses machine learning algorithms to analyze the data in the digital twin information library in depth, predicts the operating efficiency of the coal yard in an ideal state, and sets the preset overall efficiency level to 90%. Then, the coal yard starts to monitor the actual operation data of the coal yard in real time and processes and analyzes these data using data analysis technology to obtain the current overall efficiency level of the coal yard as 85%. Finally, the coal yard compares the current overall efficiency level with the preset overall efficiency level and finds that the operating efficiency of the coal yard has not yet reached the expected state. Therefore, the coal yard decides to further analyze the data in the digital twin information library to find out the problems and bottlenecks in operation and to develop appropriate optimization measures to improve the operating efficiency.

[0099] Further, if the overall efficiency level of the coal yard is lower than the preset overall efficiency level, abnormal detection is performed on each coal yard functional area. In the abnormal detection of each coal yard functional area, multiple coal operation information of each coal yard functional area is collected, multiple abnormal operation information is determined according to the detection of the multiple coal operation information of each coal yard functional area, the overall consideration of the detection of the multiple coal operation information of each coal yard functional area is compatible, and the accuracy of the multiple abnormal operation information is ensured.

[0100] At this time, in step S141, the current overall efficiency level of the coal yard has been compared with the preset overall efficiency level; if the current overall efficiency level of the coal yard is lower than the preset level, it means that there is a problem or bottleneck in the operation efficiency of the coal yard, and further analysis of the reasons and corresponding measures need to be taken, at the same time, the abnormality detection is the process of identifying the deviation from the normal state or the expected performance in the operation of the coal yard; in the coal yard, functional areas such as unloading area, storage area, crushing and screening area, mixing area and loading area, etc. each area has its specific operation process and efficiency index; when the overall efficiency of the coal yard is lower than the preset level, each functional area needs to be checked one by one to determine which area has abnormality; at this time, the various functional areas in the coal yard are determined; an abnormality detection plan is made to clarify the detection content and standard of each functional area; detection personnel are assigned or automatic monitoring system is used to detect abnormality of each functional area.

[0101] When abnormality detection is carried out, multiple coal operation information of each functional area of the coal yard needs to be collected, including but not limited to equipment status, operation time, output, energy consumption, fault record, etc. These information can reflect the operation efficiency, stability and potential problems of the functional area; at this time, the type and range of coal operation information that needs to be collected are determined; sensors, monitoring equipment or data interface are used to collect these information; the collected information is sorted, classified and stored for subsequent analysis.

[0102] After collecting the coal operation information of each functional area of the coal yard, the information needs to be analyzed and detected to determine whether there is abnormal operation information; abnormal operation information is manifested as frequent equipment failure, prolonged operation time, decreased output, increased energy consumption, etc. Through comparison with historical data or preset standards, these abnormal information is identified; at this time, data analysis tools or algorithms are used to analyze the collected coal operation information; set abnormality detection threshold or standard, such as equipment failure rate exceeding a certain percentage, operation time exceeding the predetermined time, etc. According to the analysis result, the abnormal operation information existing in each functional area is determined.

[0103] Optionally, suppose the preset overall efficiency level of a coal yard is 90%, but the current overall efficiency level is only 80%; after analysis, the coal yard decides to detect abnormality of each functional area; in the unloading area, the detection personnel find that the failure rate of unloading equipment is significantly higher than the historical average level, and the unloading time is prolonged, which is identified as abnormal operation information; in the storage area, although the equipment status is good, the monitoring data shows that the storage capacity fluctuates greatly, and there is a risk of coal pile collapse, which is also regarded as abnormal operation information. In the crushing and screening area, the detection personnel find that the energy consumption of the crusher increases significantly, and the screening efficiency decreases, which is also identified as abnormal operation information.

[0104] For these abnormal operation information, the coal yard decides to further analyze the reasons and formulate corresponding optimization measures to improve the operation efficiency; for example, to maintain and upgrade the coal unloading equipment, to optimize the layout and management of the coal storage area, and to adjust the operation parameters of the crushing and screening area, etc. Through the implementation of these measures, the coal yard expects to improve the overall efficiency level and approach or reach the preset level.

[0105] Further, in the digital twin information base of the coal yard, the corresponding abnormal operation positions are determined based on the tracing of multiple abnormal operation information, and the corresponding abnormal operation area is determined according to the synthesis of each abnormal operation position, so as to mark the abnormal operation area, which is compatible with the overall consideration of the synthesis of each abnormal operation position, and ensures the accuracy of the corresponding abnormal operation area.

[0106] At this time, after determining the multiple abnormal operation information existing in the coal yard, the next step is to trace the source or position of these abnormal information in the digital twin information base of the coal yard; the digital twin information base is a virtual model integrated with the actual operation data of the coal yard, which contains the layout, equipment position, operation process and other information of the coal yard. By comparing the abnormal operation information with the data in the digital twin information base, the specific position of abnormal operation is determined; at this time, the digital twin information base system of the coal yard is opened; the multiple abnormal operation information determined is imported or queried; the layout diagram, equipment position information, etc. in the digital twin information base are used to compare the abnormal operation information with the actual situation one by one; the actual position corresponding to each abnormal operation information is marked, which is the equipment, operation area or specific operation process node.

[0107] After determining the multiple abnormal operation positions, the next step is to synthesize these positions to determine the corresponding abnormal operation area; the abnormal operation area is a part of one or more functional areas, and is also a larger range across multiple functional areas. By synthesizing the abnormal operation positions, the area where the problems or bottlenecks exist in the coal yard is more accurately located; at this time, the determined abnormal operation positions are marked in the digital twin information base; observe the distribution of these positions in the layout of the coal yard, and analyze whether they are concentrated in one or some functional areas; if the abnormal operation positions are relatively concentrated, these positions are synthesized into an abnormal operation area; if the positions are scattered, each position corresponding area needs to be considered respectively; mark the abnormal operation area in the digital twin information base for subsequent analysis and processing.

[0108] After the abnormal operation areas are determined, the last step is to mark these areas in the digital twin information base in a visual manner; marking the abnormal operation areas helps the coal yard managers to intuitively understand the location of the problems or bottlenecks in the coal yard, so as to take corresponding measures for improvement; at this time, in the digital twin information base, different colors, icons or highlight display are used to mark the abnormal operation areas; ensure that the marking is clear, accurate and easy to identify; add annotations or explanations so that the managers can better understand the situation of the abnormal operation areas.

[0109] Specifically, assuming that the A coal yard determines the following abnormal operation information in S142: the crusher in the crushing and screening area frequently fails, resulting in prolonged operation time; the coal pile height in the storage area fluctuates greatly, and there is a risk of collapse; the energy consumption of the loading equipment in the loading area increases significantly, and the efficiency decreases;

[0110] In S143, the coal yard uses the digital twin information base to trace the location of the abnormal operation: for the abnormality of the crushing and screening area, the specific location of the crusher is determined through the equipment location information and fault records in the digital twin information base; for the abnormality of the storage area, the location of the coal pile at risk of collapse is determined by observing the coal pile height data and layout in the digital twin information base; for the abnormality of the loading area, the location of the loading equipment is determined by comparing the energy consumption data and operation process in the digital twin information base;

[0111] Next, the coal yard synthesizes these abnormal operation locations and determines the following abnormal operation areas: the area where the crusher in the crushing and screening area is located is marked as abnormal operation area A; the area where the coal pile with large height fluctuations in the storage area is located is marked as abnormal operation area B; the area where the loading equipment in the loading area is located is marked as abnormal operation area C; finally, the coal yard marks these abnormal operation areas in the digital twin information base with different colors or icons, and adds corresponding annotations and explanations; through these markings, the coal yard managers can intuitively understand the location of the problems or bottlenecks in the coal yard, so as to take corresponding measures for improvement.

[0112] In some embodiments of the present application, in the digital twin information base of the coal yard, the actual locations corresponding to multiple abnormal operation information are traced by using an abnormal operation information matching table; the abnormal operation information matching table is a tool that associates abnormal operation information with specific locations in the digital twin information base; the abnormal operation information matching table is shown in Table 2:

[0113] Table 2 Abnormal operation information matching table

[0114]

[0115] In the abnormal operation information matching table, each row represents an abnormal operation information and its corresponding location in the digital twin information base. By checking the matching table, the specific location of each abnormal operation information can be quickly determined. At the same time, the location FD-001 (crusher in the crushing and screening area) and other related equipment (such as vibrating screen, conveyor belt, etc.) nearby form an abnormal operation area A; the location CM-002 (coal pile in the coal storage area) and its surrounding monitoring points form an abnormal operation area B; the location LD-003 (middle section of the main loading line in the loading area) and its upstream and downstream equipment form an abnormal operation area C.

[0116] The weight of the abnormal operation information is set: frequent failure (3 points), serious safety hazard (2 points), and slight abnormality (1 point). The score of each location is calculated according to the weight: for example, the crusher frequent failure (FD-001) scores 3 points, the coal pile height fluctuation (CM-002) scores 2 points (assuming it is considered as a serious safety hazard), and the loading equipment energy consumption increases (LD-003) scores 1 point (assuming it is considered as a slight abnormality). The locations with higher scores are combined into one or more abnormal operation areas, and are sorted or classified according to the scores.

[0117] Optionally, the abnormal operation area A (crushing and screening area) scores 3 points and includes the location FD-001 and its related equipment; the abnormal operation area B (coal storage area) scores 2 points and includes the location CM-002 and its surrounding monitoring points; the abnormal operation area C (loading area) scores 1 point and includes the location LD-003 and its upstream and downstream equipment. In the digital twin information base, these abnormal operation areas are marked with different colors, icons, or highlighted display methods, and are sorted or classified according to the scores, so that the coal yard management personnel can intuitively understand the location and severity of the problems or bottlenecks in the coal yard, and take corresponding measures to improve them.

[0118] In step S15, in each abnormal operation area, the actual operation information is determined according to the real-time monitoring of the abnormal operation area, and the corresponding operation optimization information is determined based on the actual operation information, the multiple abnormal operation information, and the digital twin information base;

[0119] In the specific implementation process of the present application, the specific steps are as follows:

[0120] S151: Mark the area location of each abnormal operation area, trigger real-time monitoring of the abnormal operation area according to the area location of each abnormal operation area, and collect the actual operation information corresponding to the abnormal operation area during real-time detection;

[0121] S152: Collect multiple abnormal operation information, and determine the abnormal operation content based on the matching of the multiple abnormal operation information and the actual operation information;

[0122] S153: Determine the corresponding optimization information list according to the actual operation information and the digital twin information base, determine multiple optimization measures according to the matching of the abnormal operation content and the optimization information list, and determine the corresponding operation optimization information according to the multiple optimization measures and the corresponding optimization time node.

[0123] In the embodiments of the present application, the area positions of the respective abnormal operation areas are marked, real-time monitoring of the abnormal operation areas is triggered according to the area positions of the respective abnormal operation areas, and actual operation information corresponding to the abnormal operation areas is collected in the process of real-time detection.

[0124] At this time, the specific positions of the respective abnormal operation areas are accurately marked in the digital twin information base of the coal yard, and these position information is based on the abnormal operation areas determined through abnormal detection and analysis in the previous step; the purpose of marking is to enable subsequent targeted real-time monitoring and analysis of these areas; at this time, the digital twin information base system of the coal yard is opened; according to the abnormal operation area information determined in the previous step, the corresponding positions are found in the digital twin model; using the marking tools provided by the system (such as color marking, icon marking, highlight display, etc.), the abnormal operation areas are marked in the digital twin model; ensure that the marking is clear, accurate, easy to identify, and corresponds to the actual position in the coal yard.

[0125] Once the abnormal operation areas are marked, the next step is to trigger real-time monitoring of these areas; the purpose of real-time monitoring is to collect the operation information of these abnormal operation areas in real time, so as to timely discover and handle potential problems or bottlenecks; at this time, the monitoring system is configured in the digital twin information base system, ensuring that the operation information of the abnormal operation areas can be monitored in real time; set the monitoring parameters and thresholds so that the system can automatically detect abnormalities and trigger alarms; start the monitoring system to ensure that the system can collect and record the operation information of the abnormal operation areas in real time; regularly check the running state and data accuracy of the monitoring system to ensure that the system can reliably provide real-time monitoring information.

[0126] In the process of real-time monitoring, the system needs to collect the actual operation information corresponding to the abnormal operation areas, including device status, operation efficiency, energy consumption, yield and other key indicators; the purpose of collecting these information is to enable subsequent analysis and processing of these information to determine specific optimization measures; at this time, ensure that the monitoring system can collect the operation information of the abnormal operation areas in real time; regularly check the collected data to ensure the accuracy and integrity of the data; preprocess and clean the collected data to remove noise and outliers; store the processed data in the digital twin information base system for subsequent analysis and processing.

[0127] Specifically, assume that a coal yard has identified the following two abnormal operation areas in the previous steps: Area A: crushing and screening area, where the crusher frequently fails, leading to reduced operation efficiency; Area B: coal storage area, where the coal pile height fluctuates greatly, with a risk of collapse.

[0128] In step S151, the coal yard performs the following operations: marks the specific locations of Area A and Area B in the digital twin information library system; highlights Area A in red and Area B in yellow to visually identify the abnormal operation areas; configures the monitoring system and sets the monitoring parameters and thresholds for Area A and Area B; for example, sets the failure rate threshold and operation efficiency threshold for the crusher in Area A; sets the fluctuation range threshold for the coal pile height in Area B.

[0129] The monitoring system is started, and the operation information of Area A and Area B is collected in real time; for example, the number of crusher failures, operation time, output, and other data are collected; the height, shape, and stability of the coal pile are collected; the collected data is preprocessed and cleaned to remove noise and outliers, and the processed data is stored in the digital twin information library system. Through these operations, the coal yard successfully marks the location of the abnormal operation area and triggers real-time monitoring of these areas, collecting corresponding actual operation information, which provides important data support for subsequent analysis and optimization.

[0130] Further, multiple abnormal operation information is collected, and the abnormal operation content is determined based on the matching of multiple abnormal operation information and actual operation information, which is compatible with the overall consideration of the matching of multiple abnormal operation information and actual operation information, ensuring the accuracy of the abnormal operation content.

[0131] At this time, multiple information related to abnormal operation is collected, which comes from various monitoring systems, sensors, equipment logs, personnel reports, etc. in the coal yard; the purpose of collection is to obtain as comprehensive abnormal operation data as possible for subsequent matching and analysis; at the same time, data is collected from various monitoring systems and sensors in the coal yard, such as equipment failure records, operation efficiency data, energy consumption data, etc.; equipment logs and personnel reports are consulted to understand the specific circumstances and reasons for abnormal operation; ensure that the collected data is accurate, complete, and directly related to abnormal operation; organize the collected data into an easy-to-analyze and process format, such as tables, databases, etc.

[0132] After collecting multiple abnormal operation information, the next step is to match these information with actual operation information; the purpose of matching is to determine the specific abnormal operation content, that is, which operation or equipment has abnormality in actual operation, and the specific performance and impact of these abnormalities; at the same time, compare and analyze the collected abnormal operation information with the actual operation information in the digital twin information library; according to the characteristics of abnormal operation information (such as fault type, occurrence time, impact range, etc.) and the specific situation of actual operation information (such as equipment state, operation process, yield, etc.), find out the relevance and consistency between them, determine the specific abnormal operation content through matching analysis, such as fault of specific equipment, bottleneck of operation process, abnormal energy consumption, etc.; record the results of matching analysis, and generate abnormal operation content report for subsequent processing and optimization.

[0133] Specifically, assume that a coal yard successfully collects the actual operation information of the following two abnormal operation areas in step S151: area A (crushing and screening area): frequent failure of crusher, operation efficiency decreases; area B (coal storage area): coal pile height fluctuates greatly, with safety hazards.

[0134] In step S152, the coal yard performs the following operations: collects multiple information related to abnormal operation from the monitoring system of the coal yard, such as failure records of the crusher, operation efficiency data, energy consumption data, etc.; at the same time, also consults the equipment log and personnel report to understand the specific situation and reason of abnormal operation; compares and analyzes the collected abnormal operation information with the actual operation information in the digital twin information library; for example, compares the failure records of the crusher with the failure performance in actual operation, and finds that the failure mainly shows bearing overheating and vibration abnormality; compares the height data of the coal pile with the safety hazard description in the personnel report, and finds that the coal pile height fluctuates greatly, and there is a risk of collapse.

[0135] Through matching analysis, the specific abnormal operation content is determined; for area A, the abnormal operation content is the frequent failure caused by bearing overheating and vibration abnormality of the crusher; for area B, the abnormal operation content is the safety hazard caused by the large fluctuation of coal pile height; the results of matching analysis are recorded, and the abnormal operation content report is generated; the report describes the specific content, performance and impact of abnormal operation in detail, which provides an important basis for subsequent processing and optimization.

[0136] Therefore, according to the actual operation information and the digital twin information library, the corresponding optimization information list is determined, the multiple optimization measures are determined according to the matching of the abnormal operation content and the optimization information list, and the corresponding operation optimization information is determined according to the multiple optimization measures and the corresponding optimization time node. The overall consideration of the multiple optimization measures and the corresponding optimization time node is compatible, the accuracy of the corresponding operation optimization information is guaranteed, at the same time, the introduction of each abnormal operation area is based on the digital twin information library to trigger the further optimization of the actual operation information and the multiple abnormal operation information, so as to guarantee the accuracy of the operation optimization information, and realize the optimization control of the digital twin information library on each abnormal operation area.

[0137] At this time, according to the actual operation information and the historical data, expert knowledge and other resources in the digital twin information library, a series of optimization information or suggestions for the current abnormal operation content are determined. These optimization information includes equipment maintenance, operation process improvement, energy consumption management and other aspects. The optimization information list is an ordered list, which lists the optimization measures for each abnormal operation content and their priority or importance.

[0138] After determining the optimization information list, the next step is to match these optimization information with the abnormal operation content to determine the specific optimization measures. The purpose of matching is to find the most suitable optimization measures for each abnormal operation content to effectively solve the problem and improve the operation efficiency. At this time, each abnormal operation content is reviewed one by one to understand the specific situation and influence of each problem. Each abnormal operation content is matched with the optimization information in the optimization information list to find the most suitable optimization measures. The matching results are recorded and an optimization measures list is generated, which lists the optimization measures for each abnormal operation content and their descriptions.

[0139] After determining the optimization measures, the next step is to determine a reasonable optimization time node for each optimization measure. The optimization time node refers to the specific time or time period for implementing the optimization measures. The purpose of determining the optimization time node is to ensure the orderly progress of the optimization work and avoid causing too much interference to the normal operation of the coal yard. Finally, these optimization measures and their corresponding optimization time nodes are integrated into operation optimization information for subsequent implementation and tracking. At this time, the operation plan and resource situation of the coal yard are analyzed to determine a reasonable optimization time node for each optimization measure. The urgency and importance of the optimization measures, as well as the actual situation and limiting factors of the coal yard (such as personnel arrangement, equipment status, material supply, etc.) are considered to ensure the feasibility and effectiveness of the optimization time node. The optimization measures and their corresponding optimization time nodes are integrated into the operation optimization information report, which describes the specific content, implementation time and expected effect of each optimization measure in detail.

[0140] Specifically, assume that the coal yard determines the following two abnormal operation contents in the previous steps: area A (crushing and screening area): frequent breakdown of the crusher, resulting in reduced operation efficiency; area B (coal storage area): large fluctuation in coal pile height, posing a safety hazard.

[0141] In the S153 step, the coal yard performs the following operations: based on the actual operation information and the resources in the digital twin information library, the following sequence list of optimization information is formulated: for area A, the optimization information includes strengthening the daily maintenance of the crusher, adjusting the working parameters of the crusher, replacing the severely worn parts, etc.; for area B, the optimization information includes strengthening the monitoring and management of the coal pile, adjusting the stacking method of the coal pile, increasing the stability of the coal pile, etc.

[0142] The abnormal operation contents are matched with the sequence list of optimization information to determine the following optimization measures: for area A, the optimization measures include weekly comprehensive inspection and maintenance of the crusher, adjustment of the working parameters of the crusher to the optimal state, replacement of severely worn bearings and belts, etc.; for area B, the optimization measures include daily monitoring of the height and stability of the coal pile, adjustment of the coal pile stacking method to a more stable shape, setting up safety warning signs around the coal pile, etc.

[0143] Considering the operation plan and resource situation of the coal yard, reasonable optimization time nodes are determined for each optimization measure, and are integrated into the operation optimization information report; for example, for the crusher maintenance measures of area A, it is determined to be performed every Monday; for the coal pile monitoring measures of area B, it is determined to be performed every morning; the report details the specific content, implementation time and expected effect of each optimization measure, through these operations, the coal yard successfully determines the sequence list of optimization information, optimization measures and optimization time nodes for the current abnormal operation contents, and generates a detailed operation optimization information report, which provides important guidance for subsequent optimization implementation and tracking.

[0144] Please refer to Figure 2 , Figure 2 is a structural composition schematic diagram of the digital twin coal yard information management system in the embodiment of the present application; the digital twin coal yard information management system comprises:

[0145] An operation state module 21 is configured to collect a plurality of coal operation information of each functional area of the coal yard, and determine the operation state of each functional area of the coal yard according to the plurality of coal operation information and the position of the functional area of the coal yard.

[0146] A sub-efficiency level module 22 is configured to determine the sub-efficiency level of the functional area of the coal yard according to the real-time production index of the coal yard and the operation state of each functional area of the coal yard in the digital twin information library of the coal yard.

[0147] The overall efficiency level module 23 is configured to determine a coal operation route according to the function category and position of the multiple function areas of the coal yard, and determine the overall efficiency level of the coal yard based on the coal operation route and the sub efficiency level of each function area of the coal yard;

[0148] The abnormal operation module 24 is configured to, if the overall efficiency level of the coal yard is lower than the preset overall efficiency level, determine multiple abnormal operation information based on the detection of the multiple coal operation information of each function area of the coal yard, and mark the corresponding abnormal operation area;

[0149] The operation optimization information module 25 is configured to, in each abnormal operation area, determine actual operation information according to the real-time monitoring of the abnormal operation area, and determine corresponding operation optimization information based on the actual operation information, the multiple abnormal operation information and the digital twin information base.

[0150] Any combination of the technical features of the above embodiments is possible. In order to make the description simple, not all combinations of the technical features in the above embodiments are described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present disclosure.

Claims

1. A digital twin-based coal yard information management method, characterized in that, The method comprises the following steps: Collecting a plurality of coal operation information of each coal yard function area of the coal yard, determining the operation state of each coal yard function area according to the plurality of coal operation information and the position of the coal yard function area, comprising: determining the distribution map of the coal yard based on the name and position of the coal yard, determining the plurality of coal yard function areas according to the division of the distribution map of the coal yard, real-time monitoring each coal yard function area and collecting a plurality of coal operation information of each coal yard function area; in each coal yard function area, determining the operation sequence table of the coal yard function area according to the plurality of coal operation information, determining a plurality of operation items based on the division of the operation sequence table, and marking the operation progress of the plurality of operation items; determining the first state coefficient according to the project category of the operation item and the corresponding operation progress, determining the second state coefficient according to the project category of the operation item and the position of the coal yard function area, and determining the operation state of each coal yard function area based on the first state coefficient, the second state coefficient and the operation state mapping relationship; In the digital twin information base of the coal yard, the sub-efficiency level of the coal yard function area is determined according to the real-time production index of the coal yard and the operation state of each coal yard function area; Determine the coal operation route according to the function category and position of the plurality of coal yard function areas, and determine the overall efficiency level of the coal yard based on the coal operation route and the sub-efficiency level of each coal yard function area; If the overall efficiency level of the coal yard is lower than the preset overall efficiency level, a plurality of abnormal operation information is determined based on the detection of the plurality of coal operation information of each coal yard function area, and the corresponding abnormal operation area is marked; In each abnormal operation area, the actual operation information is determined according to the real-time monitoring of the abnormal operation area, and the corresponding operation optimization information is determined based on the actual operation information, the plurality of abnormal operation information and the digital twin information base. 2.The digital twin coal yard information management method of claim 1, wherein, In the digital twin information base of the coal yard, the sub-efficiency level of the coal yard function area is determined according to the real-time production index of the coal yard and the operation state of each coal yard function area, comprising: In the coal yard, a plurality of operation information of each coal yard function area is collected, an information space of each coal yard function area is constructed according to the plurality of operation information, and a digital twin information base of the coal yard is constructed based on the information space of each coal yard function area, the correlation relationship between each coal yard function area and the digital twin framework; Real-time monitoring the digital twin information base of the coal yard, and collecting the real-time production index of the coal yard, determining the operation load of each coal yard function area according to the analysis of the real-time production index of the coal yard, and determining the first sub-efficiency coefficient based on the operation load of each coal yard function area and the operation state of each coal yard function area; The second sub-efficiency coefficient is determined based on the operation load of each coal yard function area and the real-time operation data of each coal yard function area, and the sub-efficiency level of the coal yard function area is determined based on the first sub-efficiency coefficient, the second sub-efficiency coefficient and the sub-efficiency level mapping relationship. 3.The digital twin coal yard information management method of claim 1, wherein, The method comprises the following steps: Collect positions of multiple coal yard functional areas, determine relative positions between the multiple coal yard functional areas according to comparison of the positions of the multiple coal yard functional areas, and determine a coal transportation space according to the relative positions between the multiple coal yard functional areas and a distribution map of the coal yard; Collect functional categories of the multiple coal yard functional areas, construct a coal process route according to the functional categories of the multiple coal yard functional areas, and determine a coal operation route according to the coal process route, the coal transportation space and the distribution map of the coal yard, wherein the coal operation route is dynamically regulated based on priority of the multiple coal yard functional areas. 4.The digital twin coal yard information management method of claim 3, wherein, The coal operation route is determined according to the functional categories and the positions of the multiple coal yard functional areas, the overall efficiency level of the coal yard is determined based on the coal operation route and the sub-efficiency levels of the multiple coal yard functional areas, and the method further comprises: The sub-efficiency levels of the multiple coal yard functional areas are marked in the coal operation route, an overall efficiency coefficient of the coal yard is determined according to the positions of the multiple coal yard functional areas, the sub-efficiency levels and a route length of the coal operation route, and the overall efficiency level of the coal yard is determined based on matching of the overall efficiency coefficient and an overall efficiency level mapping relationship. 5.The digital twin coal yard information management method of claim 1, wherein, If the overall efficiency level of the coal yard is lower than a preset overall efficiency level, multiple abnormal operation information is determined based on detection of multiple coal operation information of the multiple coal yard functional areas, and corresponding abnormal operation areas are marked, and the method further comprises: A digital twin information base of the coal yard is collected, the preset overall efficiency level is determined based on detection of the digital twin information base of the coal yard, and the overall efficiency level of the coal yard is compared with the preset overall efficiency level. 6.The digital twin coal yard information management method of claim 5, wherein, If the overall efficiency level of the coal yard is lower than the preset overall efficiency level, multiple abnormal operation information is determined based on detection of multiple coal operation information of the multiple coal yard functional areas, and corresponding abnormal operation areas are marked, and the method further comprises: If the overall efficiency level of the coal yard is lower than the preset overall efficiency level, abnormal detection is performed on the multiple coal yard functional areas, multiple coal operation information of the multiple coal yard functional areas is collected in the abnormal detection of the multiple coal yard functional areas, and multiple abnormal operation information is determined based on detection of the multiple coal operation information of the multiple coal yard functional areas; In the digital twin information base of the coal yard, corresponding abnormal operation positions are determined based on tracing of the multiple abnormal operation information, corresponding abnormal operation areas are determined according to synthesis of the multiple abnormal operation positions, and the abnormal operation areas are marked. 7.The digital-twin-based coal yard information management method of claim 1, wherein, In the multiple abnormal operation areas, actual operation information is determined according to real-time monitoring of the abnormal operation areas, corresponding operation optimization information is determined based on the actual operation information, the multiple abnormal operation information and the digital twin information base, and the method further comprises: Area positions of the multiple abnormal operation areas are marked, real-time monitoring of the abnormal operation areas is triggered according to the area positions of the multiple abnormal operation areas, and actual operation information corresponding to the abnormal operation areas is collected in the real-time monitoring. 8.The digital twin coal yard information management method of claim 7, wherein, In the multiple abnormal operation areas, actual operation information is determined according to real-time monitoring of the abnormal operation areas, corresponding operation optimization information is determined based on the actual operation information, the multiple abnormal operation information and the digital twin information base, and the method further comprises: Collect a plurality of abnormal operation information, determine the abnormal operation content based on the matching of the plurality of abnormal operation information and the actual operation information; Determine the corresponding optimization information list according to the actual operation information and the digital twin information base, determine a plurality of optimization measures according to the matching of the abnormal operation content and the optimization information list, and determine the corresponding operation optimization information according to the plurality of optimization measures and the corresponding optimization time node.

9. A digital twin-based coal yard information management system, characterized in that, The digital twin coal yard information management system is applied to the digital twin coal yard information management method as claimed in any one of claims 1-8, and the digital twin coal yard information management system comprises: An operation state module is configured to collect a plurality of coal operation information of each functional area of the coal yard, and determine the operation state of each functional area of the coal yard according to the plurality of coal operation information and the position of the functional area of the coal yard; A sub-efficiency level module is configured to determine the sub-efficiency level of the functional area of the coal yard according to the real-time production index of the coal yard and the operation state of each functional area of the coal yard in the digital twin information base of the coal yard; An overall efficiency level module is configured to determine the coal operation route according to the function type and position of the plurality of functional areas of the coal yard, and determine the overall efficiency level of the coal yard based on the coal operation route and the sub-efficiency level of each functional area of the coal yard; An abnormal operation module is configured to determine a plurality of abnormal operation information based on the detection of the plurality of coal operation information of each functional area of the coal yard and mark the corresponding abnormal operation area if the overall efficiency level of the coal yard is lower than the preset overall efficiency level; An operation optimization information module is configured to determine the actual operation information according to the real-time monitoring of each abnormal operation area in each abnormal operation area, and determine the corresponding operation optimization information based on the actual operation information, the plurality of abnormal operation information and the digital twin information base.

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