Coal conveying system equipment operation state collaborative diagnosis method and system

Abstract

The application discloses a kind of coal conveying system equipment operating state collaborative diagnosis method and system, and the application relates to the technical field of operating state collaborative diagnosis method, based on the sorting event of coal pile to be transported, the distribution position of multiple sub coal conveying paths and the current state of coal conveying system equipment determine the collaborative transport event of multiple sub coal conveying paths, improve the accuracy of the collaborative transport event of multiple sub coal conveying paths.Therefore, according to the coal conveying process corresponding to multiple sub coal conveying paths and the remaining amount of coal pile to be transported, determine the load excess of coal conveying system equipment;Based on the load excess of coal conveying system equipment, the conveying collaborative equipment of coal system equipment and multiple sub coal conveying paths, determine the external collaborative path based on the collaborative state corresponding to the external collaborative path and the collaborative diagnosis of the coal conveying process of multiple sub coal conveying paths to determine the operating state of coal conveying system equipment, improve the accuracy of the operating state of coal conveying system equipment.

Description

Technical Field

[0001] This invention relates to the technical field of collaborative diagnostic methods for operating status, and more particularly to a collaborative diagnostic method and system for operating status of coal conveying system equipment. Background Technology

[0002] With the development of technology, coal conveying system equipment is a key equipment combination used for coal transportation in industrial scenarios such as thermal power plants, coal mines, and ports. It transports coal from the source (such as coal yards and unloading points) to the target location (such as boiler coal bunkers, coal storage tanks, or ship loaders). In the existing technology, coal conveying system equipment transports the coal pile to be transported along a single coal conveying path without dividing it into multiple sub-coal conveying paths. This makes it impossible to achieve coordinated transportation events of multiple sub-coal conveying paths, which in turn affects the accuracy of the operation status of the coal conveying system equipment. Summary of the Invention

[0003] The purpose of this invention is to overcome the shortcomings of the prior art. This invention provides a collaborative diagnostic method and system for the operating status of coal conveying system equipment.

[0004] This invention provides a method for collaborative diagnosis of the operating status of coal conveying system equipment, comprising: marking multiple coal conveying nodes along the coal conveying path of the coal conveying system equipment, with each coal conveying node matching a corresponding set of working data; determining the working status of each coal conveying node based on the location of each set of working data and the corresponding coal conveying node; determining multiple sub-coal conveying paths based on the working status of each coal conveying node, the coal conveying task of the coal conveying system equipment, and the coal conveying path; determining the coal pile to be conveyed based on the tracing of the coal conveying task of the coal conveying system equipment; determining the collaborative transportation events of the multiple sub-coal conveying paths based on the sorting events of the coal pile to be conveyed, the distribution locations of the multiple sub-coal conveying paths, and the current status of the coal conveying system equipment; determining the overload of the coal conveying system equipment based on the coal conveying progress corresponding to the multiple sub-coal conveying paths and the remaining amount of the coal pile to be conveyed in the collaborative transportation events of the multiple sub-coal conveying paths; determining the external collaborative path based on the overload of the coal conveying system equipment, the conveying collaborative equipment of the coal system equipment, and the multiple sub-coal conveying paths; and determining the operating status of the coal conveying system equipment based on the collaborative status corresponding to the external collaborative path and the collaborative diagnosis of the coal conveying progress of the multiple sub-coal conveying paths.

[0005] This invention provides a collaborative diagnostic system for the operating status of coal conveying system equipment. This system is applied to the aforementioned collaborative diagnostic method for the operating status of coal conveying system equipment. The collaborative diagnostic system for the operating status of coal conveying system equipment includes:

[0006] The coal conveying node module is used to mark multiple coal conveying nodes on the coal conveying path of the coal conveying system equipment, with each coal conveying node matching a corresponding set of working data.

[0007] The sub-coal conveying path module is used to determine the working status of coal conveying nodes based on each working data set and the location of the corresponding coal conveying nodes, and to determine multiple sub-coal conveying paths based on the working status of each coal conveying node, the coal conveying task of the coal conveying system equipment, and the coal conveying path.

[0008] The collaborative transportation event module is used to determine the coal pile to be transported based on the traceability of the coal transport task of the coal transport system equipment, and to determine the collaborative transportation events of multiple sub-coal transport paths based on the sorting events of the coal pile to be transported, the distribution location of multiple sub-coal transport paths, and the current status of the coal transport system equipment.

[0009] The overload module is used to determine the overload of the coal conveying system equipment in the context of a coordinated transportation event involving multiple sub-coal conveying paths, based on the coal conveying progress and the remaining amount of coal to be conveyed in the sub-coal conveying paths.

[0010] The operation status module is used to determine the external collaborative path based on the load excess of the coal conveying system equipment, the conveying coordination equipment of the coal system equipment, and multiple sub-coal conveying paths. Based on the coordination status corresponding to the external collaborative path and the collaborative diagnosis of the coal conveying process of multiple sub-coal conveying paths, the operation status of the coal conveying system equipment is determined.

[0011] Compared with the prior art, the beneficial effects of the present invention are:

[0012] In this embodiment of the invention, the method is used to determine the coal pile to be transported based on the tracking of the coal transport task of the coal conveying system equipment, and to determine the coordinated transport event of multiple sub-coal conveying paths based on the sorting event of the coal pile to be transported, the distribution location of multiple sub-coal conveying paths, and the current state of the coal conveying system equipment. The introduction of sub-coal conveying paths is compatible with the overall consideration of the sorting event of the coal pile to be transported, the distribution location of multiple sub-coal conveying paths, and the current state of the coal conveying system equipment, thereby improving the accuracy of the coordinated transport event of multiple sub-coal conveying paths.

[0013] Therefore, in the coordinated transportation events of multiple sub-coal conveying paths, the overload of the coal conveying system equipment is determined based on the coal conveying progress and the remaining amount of coal to be conveyed corresponding to the multiple sub-coal conveying paths. An external coordinated path is determined based on the overload of the coal conveying system equipment, the coal system equipment's conveying coordination equipment, and the multiple sub-coal conveying paths. The operating status of the coal conveying system equipment is determined based on the coordinated status corresponding to this external coordinated path and the coordinated diagnosis of the coal conveying progress of the multiple sub-coal conveying paths. This introduces the concept of overload of the coal conveying system equipment and further coordinates and controls the overload of the coal conveying system equipment. This achieves coordinated diagnosis of the coordinated status corresponding to the external coordinated path and the coal conveying progress of the multiple sub-coal conveying paths, improving the accuracy of the operating status of the coal conveying system equipment. Attached Figure Description

[0014] Figure 1 This is a flowchart illustrating the collaborative diagnostic method for the operating status of coal conveying system equipment in an embodiment of the present invention.

[0015] Figure 2 This is a flowchart illustrating step S11 in the collaborative diagnosis method for the operating status of coal conveying system equipment in this embodiment of the invention.

[0016] Figure 3 This is a flowchart illustrating step S12 in the collaborative diagnostic method for the operating status of coal conveying system equipment in this embodiment of the invention.

[0017] Figure 4 This is a flowchart illustrating step S13 in the collaborative diagnostic method for the operating status of coal conveying system equipment in this embodiment of the invention.

[0018] Figure 5 This is a flowchart illustrating step S14 in the collaborative diagnostic method for the operating status of coal conveying system equipment in this embodiment of the invention.

[0019] Figure 6 This is a flowchart illustrating step S15 in the collaborative diagnostic method for the operating status of coal conveying system equipment in this embodiment of the invention.

[0020] Figure 7 This is a schematic diagram of the structural composition of the collaborative diagnostic system for the operating status of coal conveying system equipment in an embodiment of the present invention. Detailed Implementation

[0021] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0022] Please see Figures 1 to 7 A collaborative diagnostic method for the operating status of coal conveying system equipment is proposed, applicable to scenarios involving collaborative diagnostics of operating status. The collaborative diagnostic method for the operating status of coal conveying system equipment includes:

[0023] Step S11: Mark multiple coal conveying nodes on the coal conveying path of the coal conveying system equipment, and match each coal conveying node with the corresponding set of working data;

[0024] Step S12: Determine the working status of each coal conveying node based on the location of each working data set and the corresponding coal conveying node, and determine multiple sub-coal conveying paths according to the working status of each coal conveying node, the coal conveying task of the coal conveying system equipment, and the coal conveying path;

[0025] Step S13: Determine the coal pile to be transported based on the traceability of the coal transport task of the coal transport system equipment, and determine the collaborative transport events of multiple sub-coal transport paths based on the sorting events of the coal pile to be transported, the distribution locations of multiple sub-coal transport paths, and the current status of the coal transport system equipment.

[0026] Step S14: In the coordinated transportation event of multiple sub-coal conveying paths, determine the overload of the coal conveying system equipment based on the coal conveying progress and the remaining amount of coal to be conveyed corresponding to the multiple sub-coal conveying paths.

[0027] Step S15: Determine the external coordinating path based on the overload of the coal conveying system equipment, the conveying coordination equipment of the coal system equipment, and multiple sub-coal conveying paths; determine the operating status of the coal conveying system equipment based on the coordination status corresponding to the external coordinating path and the coordination diagnosis of the coal conveying process of multiple sub-coal conveying paths.

[0028] refer to Figure 2 In step S11, the specific steps are as follows:

[0029] S111: Collect the structural distribution map of the coal conveying system equipment, determine the coal conveying path of the coal conveying system equipment based on the path detection of the structural distribution map of the coal conveying system equipment, and determine multiple sub-coal conveying areas according to the coal conveying path of the coal conveying system equipment and the process combination of the coal conveying system equipment;

[0030] S112: In each sub-coal conveying area, coal conveying nodes are determined based on the location, regional shape and corresponding process of the sub-coal conveying area, so as to mark multiple coal conveying nodes, each coal conveying node being distributed in the corresponding sub-coal conveying area;

[0031] S113: Perform real-time monitoring of each coal conveying node, collect multiple working data at each coal conveying node, and construct a corresponding working data set based on the multiple working data.

[0032] In the embodiments of this application, a structural distribution diagram of the coal conveying system equipment is collected. This diagram should include all equipment and structures directly related to coal conveying; it should mainly include:

[0033] Belt conveyors: including the number of each belt, start point, end point, length, direction (above ground, underground, overhead), and location of key components (such as drive rollers, idler rollers, tensioning devices, and cleaners);

[0034] Transfer point / coal bunker: The place where coal is transferred from one conveyor belt to another, or a place for temporary storage; its location, capacity (if relevant), and the connected conveyor belt number should be marked;

[0035] Auxiliary equipment: such as crushers, screening machines, iron removers, dust removal equipment, etc., indicate their location and the belts they are connected to; key nodes: such as coal inlet, boiler raw coal bunker, coal yard, etc.

[0036] Supporting structures, such as belt conveyors, trestle bridges, and supports, help to understand the physical constraints of the path.

[0037] In the structural distribution diagram of the coal conveying system equipment, path detection is performed on the structural distribution diagram of the coal conveying system equipment. Graph theory algorithms (such as Depth-First Search (DFS), Breadth-First Search (BFS), Dijkstra's algorithm, etc.) are used to find all paths from the main starting point (such as the coal unloading point) to the main ending point (such as the boiler coal bunker). Then, based on the actual process flow and conveying capacity, it is determined which are the main, frequently used paths that carry the main coal flow. Some backup or maintenance paths need to be excluded unless they become the main paths under specific circumstances (such as the failure of the main path). One or more explicit coal conveying paths are output, and each path consists of a series of connected "edges" (belt segments, transfer points, etc.).

[0038] On the main coal conveying path, identify points where the process changes or the boundaries of functional modules; for example: the point where the coal unloading process ends and the process enters the storage stage or directly enters the next conveying process; the point where the stacking and reclaiming process ends and the process enters the crushing and screening stage; the point where the crushing and screening process ends and the process enters the long-distance conveying stage; the point where the long-distance conveying stage ends and the process enters the boiler room feeding stage. At these key nodes, define the area boundaries and combine the continuous equipment on the path into sub-areas; output multiple sub-coal conveying areas, each containing a section of continuous equipment on the path and undertaking a relatively independent process function.

[0039] Furthermore, the location of a sub-coal conveying area refers to its geographical or logical position within the entire coal conveying system; for example, whether it is close to the coal source (such as the unloading point) or close to the user (such as the boiler room); whether it is upstream or downstream of the system. This will affect the node selection. For example, upstream nodes pay more attention to the incoming material conditions, while downstream nodes pay more attention to the stability of the conveying and equipment wear.

[0040] The regional morphology of the sub-coal conveyor zone refers to the layout shape of the equipment and paths within the zone; for example, whether it is a straight belt conveyor section or a complex area containing bends, slopes, and branches; the regional morphology determines the flow characteristics of coal within it (such as speed changes, pressure changes, and blockage points), thus affecting the selection of key monitoring points; bends, slopes, midpoints of long straight sections, etc., are all locations to consider for placing nodes.

[0041] The corresponding process refers to the main technological task completed in the sub-region; for example, whether it is pure conveying, or whether it includes crushing, screening, mixing, transfer, etc. Different processes correspond to different key monitoring parameters and potential failure points; for example, the crushing area needs to pay attention to the crusher load, vibration, and discharge particle size; the transfer point needs to pay attention to the material drop situation and blockage risk. In each sub-coal conveying area, coal conveying nodes are determined based on the location, shape, and corresponding process of the sub-coal conveying area to mark multiple coal conveying nodes. Each coal conveying node is distributed in the corresponding sub-coal conveying area. In the already divided sub-coal conveying areas, specific monitoring points (i.e., coal conveying nodes) are further determined. The selection of the location of these nodes needs to comprehensively consider the physical layout, shape of the area, and the technological tasks undertaken by the area, with the aim of effectively reflecting the operating status of the area.

[0042] Therefore, each coal conveying node is monitored in real time, and multiple working data are collected at each coal conveying node. A corresponding working data set is constructed based on the multiple working data.

[0043] At this point, a continuous data acquisition mechanism is established for each coal conveying node identified in S112 to collect various parameters that can reflect the operating status of the node and its surrounding area, and organize these parameters into a structured data set to provide a data basis for subsequent status assessment (S12).

[0044] Configure appropriate monitoring methods for each node and ensure that these methods can work continuously and without interruption to provide feedback on the real-time status of the node. At this time, select and install appropriate sensors or monitoring equipment according to the objects to be monitored (such as belts, rollers, idlers, motors, coal, etc.) and the types of parameters to be monitored (such as temperature, vibration, speed, pressure, current, material level, etc.). For example, temperature sensors and vibration sensors need to be installed at the belt drive roller, belt misalignment switches, speed sensors and tear detectors need to be installed in the belt running section, and material flow detectors need to be installed at the transfer point.

[0045] Each node typically doesn't focus on a single parameter but requires the collection of multiple, interconnected data points to gain a more comprehensive understanding of its operating conditions. Furthermore, the selected data should cover the node's critical operating states. For example, for a drive roller node, multiple data points need to be collected, including roller surface temperature, bearing temperature, roller vibration, drive motor current, and motor operating status (start / stop). The collected data should have a logical relationship, mutually corroborating or complementing each other; for instance, an abnormal increase in motor current may be accompanied by increased vibration or temperature.

[0046] Multiple real-time data points are collected and organized according to a certain structure and rules to form a data set uniquely corresponding to the coal conveying node. This data set needs clear identification (such as node ID and timestamp), and each data point should have a clear label (such as "drive drum temperature" or "motor current A phase"). Data types and units must be consistent. A database or data storage system is needed to store these data sets. Time-series databases are typically used, as they can efficiently store and query time-series data with time tags.

[0047] By collecting multi-parameter, real-time data from each carefully selected coal conveying node and constructing a structured set of working data, a solid data foundation is laid for subsequent evaluation of the node's working status (S12) and collaborative diagnosis. The quality, comprehensiveness, and real-time nature of the data will directly determine the success or failure of the entire collaborative diagnosis method. In the example above, the data set of node D2 contains information on multiple dimensions such as temperature, vibration, and current, which can comprehensively reflect the operating status of the drive drum and its motor.

[0048] Specifically, data is collected from the sub-coal conveying area C (belt #4 and the feeding area) and its nodes D1, D2, D3, D4, and D5. Taking node D2 (at the drive drum of belt #4) as an example: temperature sensors (such as PT100 RTDs) are installed on the surface of the drive drum, temperature sensors are installed at the drive drum bearings, vibration sensors (accelerometers) are installed on the drive drum support, and current transformers are installed at the output terminals of the drive motor to monitor the motor current. A PLC or data acquisition unit is configured to periodically (e.g., every second or every 10 seconds) read the values ​​from these sensors. The data is then transmitted in real time to the central monitoring system via industrial Ethernet.

[0049] Collect multiple operating data: Temperature data: drive roller surface temperature (°C), drive roller bearing temperature (°C); Vibration data: drive roller horizontal / vertical vibration acceleration (m / s²). 2 Electrical data: A-phase current (A), B-phase current (A), C-phase current (A) of the drive motor; Status data: Drive motor operating status (1 = running, 0 = stopped); Create a data set for node D2, labeled Node_D2_Data.

[0050] refer to Figure 3 In step S12, the specific steps are as follows:

[0051] S121: Collect various work data sets and determine multiple work data combinations based on the division of work data sets and the corresponding processes of coal conveying nodes;

[0052] S122: Determine the corresponding working characteristics based on the identification of multiple working data combinations. At this time, each coal conveying node has multiple working characteristics; determine the working status of the coal conveying node based on the multiple working characteristics and the location of the corresponding coal conveying node.

[0053] S123: Collect the coal conveying task volume of the coal conveying system equipment, determine the first path combination based on the coal conveying task volume of the coal conveying system equipment and the working status of each coal conveying node, determine the second path combination based on the coal conveying task volume of the coal conveying system equipment and the coal conveying path, and determine multiple sub-coal conveying paths based on the first path combination and the second path combination.

[0054] In the embodiments of this application, the system needs to extract the latest data from the working data set corresponding to each coal conveying node in real time or periodically; for example, obtain the latest temperature, vibration, current and other values ​​from the data set of node N1; referring back to S111, we know that the coal conveying system is divided into multiple sub-coal conveying areas, each area corresponding to a specific process (such as coal unloading, crushing, long-distance conveying, etc.); each coal conveying node belongs to a specific sub-area and participates in the specific process of that area, determines the working data combination, and selects a set of relevant data that can reflect the operating characteristics of the process from the working data set of that node according to the characteristics of the process to which the node belongs; different processes focus on different data dimensions; for example, for nodes of the "coal unloading" process, more attention is paid to the data combination of silo level, unloading port blockage signal, and initial section load of the belt; for nodes of the "crushing" process, more attention is paid to the data combination of crusher current, vibration, internal temperature of the crusher, and discharge particle size (if measurable); for nodes of the "long-distance conveying" process, more attention is paid to the data combination of belt speed, belt tension (if measurable), material flow signal at key points along the line, and drive drum temperature / vibration / current.

[0055] Specifically, suppose there is a node N3 located in the "crushing and conveying zone" (sub-region C), whose working data set includes: crusher current, crusher vibration, belt speed, belt motor current, and material flow signal; N3 belongs to the "crushing and conveying" process; Combination 1 (reflecting the crushing link): {crusher current, crusher vibration, material flow signal}, this combination focuses on the operating status of the crusher itself and whether there is coal passing through; Combination 2 (reflecting the conveying link): {belt speed, belt motor current, material flow signal}, this combination focuses on the operating status and load of the belt conveyor; Combination 3 (comprehensive monitoring): {crusher current, belt motor current, material flow signal}, this combination is used to determine whether crushing and conveying are working in coordination.

[0056] Furthermore, the work data combinations determined in S121 are analyzed to extract "features" that characterize the operational characteristics of the process. This typically involves data processing and simple rule judgments. Features can be specific values, status labels, or trend judgments. For example, from combination 1, "crusher load characteristics" (high / medium / low, based on current), "crusher operational stability characteristics" (based on whether the vibration value is within the normal range), and "feeding status characteristics" (material present / no material / blockage, based on material flow signal and current changes) can be identified. From combination 2, "belt running speed characteristics" (normal / too fast / too slow), "belt load characteristics" (light load / full load / overload, based on motor current and speed), and "conveyor smoothness characteristics" (based on material flow signal and speed) can be identified.

[0057] Because a node involves multiple processes or needs to be monitored from different angles, a node typically corresponds to multiple operating characteristics. For example, node N3 has characteristics of both crushing and conveying processes. Combining the node's location (i.e., its sub-coal conveying area and process) and its multiple operating characteristics, the overall operating status of the node is comprehensively judged. This status should be a relatively macroscopic description, such as "normal," "abnormal," "inefficient," or "shutdown." The judgment logic is based on a preset rule base or a simple combination of logic. For example, if the "crusher load characteristic" is "high," the "crusher running stability characteristic" is "normal," and the "belt load characteristic" is "full load," then the operating status of node N3 is "normal high load operation." If the "crusher running stability characteristic" is "abnormal" (excessive vibration) and the "feeding status characteristic" is "material present," then the operating status of node N3 is "abnormal (large crusher vibration)." If the "belt running speed characteristic" is "stopped," then the operating status of node N3 is "shutdown."

[0058] Specifically, suppose that node N3 collects the following data at a certain moment: crusher current: 180A (normal range 150-200A); crusher vibration: 3.2mm / s (normal range <4.0mm / s); belt speed: 2.0m / s (normal range 1.8-2.2m / s); belt motor current: 95A (normal range 90-100A); material flow signal: material present.

[0059] Combination 1: Crusher load characteristic = "High" (180A close to the upper limit), crusher operation stability characteristic = "Normal" (3.2 < 4.0), feed status characteristic = "With material"; Combination 2: Belt running speed characteristic = "Normal" (2.0 within range), belt load characteristic = "Full load" (95A close to the upper limit), conveying smoothness characteristic = "Smooth" (with material, normal speed); Combination 3: Crusher load characteristic = "High", belt load characteristic = "Full load", feed status characteristic = "With material"; Determine the working status: Node N3 is located in the "crushing and conveying zone", and its multiple working characteristics all show that the system is operating under high load, and each link is basically normal; Therefore, it can be determined that the working status of node N3 is "normal high load operation".

[0060] Therefore, the coal conveying task volume of the coal conveying system equipment is collected, and a first path combination is determined based on the coal conveying task volume of the coal conveying system equipment and the working status of each coal conveying node. A second path combination is determined based on the coal conveying task volume and coal conveying path of the coal conveying system equipment. Multiple sub-coal conveying paths are determined based on the first path combination and the second path combination. This approach takes into account the overall consideration of the coal conveying task volume and coal conveying path of the coal conveying system equipment, and ensures the accuracy of the second path combination.

[0061] At this point, the specific quantity of the coal conveying task that needs to be completed is obtained, such as "500 tons of coal need to be conveyed to the boiler" or "200 tons of coal need to be transferred from the coal yard to the coal storage silo". This quantity is dynamic and comes from the production scheduling instructions.

[0062] Determine the first path combination (based on task volume and node status): This combination focuses on the "actually runnable" part; it selects nodes that are in normal status and can handle the current task volume transmission based on the current task volume and the working status of each node determined in S122 (normal, abnormal, shutdown, etc.), and connects them in logical order to form a preliminary combination of one or more "feasible paths"; for example, if the task volume is large, multiple normal nodes need to be connected in series.

[0063] Determine the second path combination (based on task volume and overall path): This combination focuses more on the "theoretical standard path" or "design main path"; it determines the path segments that should theoretically be activated based on the current task volume and the standard coal conveying path of the entire coal conveying system (a fixed route from the starting point to the end point) determined in S11. This is more like a benchmark or reference path.

[0064] By comparing the first path combination (actually feasible path) and the second path combination (theoretical standard path), the more detailed "sub-coal conveying path" currently in actual operation is finally determined. Here, "sub" refers to a segment on the path, or an operating unit composed of a group of cooperating nodes. The basis for the division is: which nodes / path segments must be activated and cooperate under the current task load and according to the node status. For example, if the standard path is ABCDE, but node C is abnormal and the task load is not large, the actual operating sub-paths are only AB and DE (assuming there is a bypass). If all nodes are normal and the task load is normal, the sub-path is ABCDE itself, or only a segment of it is activated according to the task load, such as ABC.

[0065] Specifically, assuming the current coal conveying task is "to transport 300 tons of coal to the boiler", the standard coal conveying route is "coal yard (starting point) > unloading area A > crushing and conveying area C (including node N3) > long-distance conveying area D > boiler raw coal bunker (end point)"; the collected coal conveying task is 600 tons.

[0066] Determine the first path combination: Assuming that, based on the S122 assessment, all nodes (including nodes in areas A, C, and D) are currently in "normal" or "normal high-load operation" (e.g., the status of node N3); the task volume of 300 tons is considered a medium load; therefore, the first path combination is: Coal Yard > All normal nodes in area A > All normal nodes in area C (including N3) > All normal nodes in area D > Boiler Raw Coal Bunker. This means that all nodes on the main path from the start point to the end point are currently available. Determine the second path combination: Based on the task volume of 300 tons and the standard path, the second path combination is the standard path itself: Coal Yard > A > C > D > Boiler Raw Coal Bunker.

[0067] Comparing the first and second path combinations, they are consistent; therefore, it can be determined that the current "sub-coal conveying path" is the activated part of the standard path, namely: coal yard > area A > area C > area D > boiler raw coal bunker. In this example, to further refine, area A, area C, and area D are each regarded as a "sub-coal conveying path" unit, because they contain multiple cooperating nodes; for example, sub-coal conveying path 1: coal yard > area A; sub-coal conveying path 2: area A > area C; sub-coal conveying path 3: area C > area D; sub-coal conveying path 4: area D > boiler raw coal bunker. These sub-paths together constitute the overall path to complete the 600-ton task.

[0068] refer to Figure 4 In step S13, the specific steps are as follows:

[0069] S131: Trace the coal conveying task of the coal conveying system equipment, mark the coal conveying position of the coal conveying system equipment, determine the coal pile to be conveyed based on the detection of the coal conveying position of the coal conveying system equipment, and mark the stacking form of the coal pile to be conveyed.

[0070] S132: Collect past accumulation events of the coal pile to be transported, determine multiple coal accumulation sub-events based on the detection of past accumulation events of the coal pile to be transported, determine the sorting events of the coal pile to be transported based on multiple coal accumulation sub-events, multiple coal types and the weight of the coal pile to be transported, so as to output sorting data of various types of coal.

[0071] S133: Determine the first coordination coefficient based on the sorting data of various types of coal and the distribution location of multiple sub-coal conveying paths; determine the second coordination coefficient based on the sorting data of various types of coal and the current status of the coal conveying system equipment; and determine the coordinated transportation events of multiple sub-coal conveying paths based on the first coordination coefficient, the second coordination coefficient, and the coordinated transportation mapping relationship.

[0072] In the embodiments of this application, the coal conveying task volume typically comes from the production scheduling system, fuel management system, or operating instructions; it is a planned value (e.g., 800 tons of coal need to be conveyed to the boiler today) or a real-time dynamic value (e.g., the current boiler combustion requires 400 tons per hour); the system needs to obtain information on the coal conveying tasks currently being executed or about to be executed from the relevant management or scheduling system, including task ID, target quantity, expected completion time, and delivery destination (usually a coal bunker of the boiler), etc. This process involves API calls, database queries, or reading operation logs; the obtained task quantity information needs to be confirmed and recorded by the system for use in subsequent steps; for example, the system needs to know that "the currently executing task is to convey 800 tons of bituminous coal to boiler #1, which is planned to be completed before 14:00".

[0073] The coal conveying location refers to the point where coal begins to enter the coal conveying system; for a typical thermal power plant, this is usually a coal yard, coal wharf, coal receiving pit, or transfer station; the system needs to specify the exact physical location from which the current task begins; the system needs to associate this physical location with previously defined coal conveying nodes or sub-coal conveying areas; for example, if the coal is conveyed from the coal yard, then a certain coal conveying node within the coal yard area (such as "coal yard loading point N0" defined in S11) is the coal conveying location. In some cases, the coal conveying location is not fixed, or needs to be confirmed in real time (e.g., coal is taken from different areas of the coal yard); the system needs to combine sensors (such as belt scale start signals, loader position RFID) or manual input to confirm the current actual coal conveying starting point.

[0074] Based on the marked coal conveying location (such as N0 in S131), the system needs to determine which specific pile of coal will be conveyed at that location. This involves identifying the coal pile's number, area, or physical boundaries. Determining the coal pile to be conveyed can be done in several ways: the coal pile has a clear number plate or area division; or, cameras, laser scanners, or ultrasonic sensors can be installed near the conveying location to scan the outline and boundaries of the coal pile in real time; or, coal pile management data in the coal yard management system can be referenced to confirm which specific coal pile record corresponds to location N0.

[0075] Once a specific coal pile is identified, the system needs to describe its current physical form, which typically includes: shape: whether it is conical, trapezoidal, elongated, or irregular; dimensions: approximate length, width, height, or volume; surface features: whether it is flat; whether there are depressions; whether there are loose edges; and relative location: in which specific area of ​​the coal conveying location N0 (e.g., to the left front of the belt inlet).

[0076] Specifically, the No. 1 boiler of the thermal power plant needs to be refueled. Based on the boiler load forecast, the fuel dispatching system issues a coal conveying task: to deliver 600 tons of bituminous coal to the No. 1 boiler's raw coal bunker within the next 2 hours. The diagnostic software of the coal conveying system, by connecting to the fuel dispatching system's database, finds the currently active task number "FM-20250707-001", with the task content being "to deliver 600 tons of bituminous coal to the No. 1 boiler, deadline 14:00". The system records this task quantity (600 tons) and task objective; the task of 600 tons of bituminous coal; according to the dispatching instructions and coal yard management information, this batch of coal needs to be loaded from the southeast corner area of ​​the coal yard; the system, based on the instructions of the coal yard management system, determines the coal conveying starting point as "coal yard southeast corner loading point N0" (this is a coal conveying node defined in S11 / S112); the system internally records or marks the current task's coal conveying position as "N0".

[0077] At loading point N0 in the southeast corner of the coal yard, the system, by querying the coal yard management system and combining the real-time footage from the camera at location N0, confirmed that the loading point corresponds to "coal pile #SE-07" (coal pile numbered SE-07). The records for this coal pile show that its main component is bituminous coal. The system activates the laser scanner at location N0 to scan coal pile #SE-07. The scan results show: Shape: approximately trapezoidal, with one end close to the loading point; Dimensions: approximately 15 meters long, approximately 8 meters wide, with a height of approximately 3 meters at the end close to the loading point and approximately 1.5 meters at the far end; Surface characteristics: the surface is slightly undulating, and relatively loose near the edge of the loading point; Relative position: located in the area to the left and in front of loading point N0. The system marks and stores this morphological information for subsequent steps (such as S132 analyzing the historical accumulation events and composition of this coal pile).

[0078] Furthermore, historical accumulation events of the coal pile to be transported are collected. Historical data of accumulation events are usually stored in the fuel management system, coal yard management system or equipment operation log. This data includes records of each coal unloading (time, source, coal type, quantity, unloading location), operation records of the coal yard stacker-reclaimer (travel path, stacking / reclaiming actions, time), and coal quality test reports (corresponding to coal piles in a specific time period or area).

[0079] The system needs to analyze the stacking event records collected in S132.1 to identify how different coal types are stacked together. This involves classifying the historical records by coal type and understanding their approximate stacking order or spatial distribution in the coal pile. A stacking event may involve a single coal type or a mixture of coal types (although in this example it is assumed that they are stacked separately).

[0080] Based on the classification results, the system decomposes historical accumulation events into "accumulation sub-events" for different coal types. Each sub-event represents one or more addition actions of a certain type of coal during the coal pile formation process. The system needs to record the coal type corresponding to each sub-event, the accumulated quantity of that coal type, and the approximate location range of that coal type in the coal pile. Optionally, sub-event 1: Shanxi high-quality mixed coal accumulation; accumulated quantity: 150 + 100 + 50 = 300 tons; approximate location: upper left, lower right; sub-event 2: Inner Mongolia lignite accumulation; accumulated quantity: 200 + 100 = 300 tons; approximate location: central area. The system identifies two main coal accumulation sub-events: the accumulation of Shanxi high-quality mixed coal and the accumulation of Inner Mongolia lignite.

[0081] In S131, the total weight of the coal pile to be transported is known (e.g., 600 tons). This total weight is consistent with the total accumulated in the historical pile records (300 + 300 = 600 tons), but may differ due to losses, subsequent additions, etc. The system needs to use the current total weight determined in S131 as a benchmark. The "sorting event" here does not refer to physical sorting, but rather to the internal composition distribution model of the coal pile inferred by the system based on historical pile sub-events. The system assumes that the composition ratio of the current coal pile is roughly similar to its historical pile ratio. Based on this, the system calculates the approximate quantity of each type of coal under the current total weight. The system organizes the calculation results into "sorting data," which clearly indicates the estimated quantity of each type of coal in the current coal pile to be transported, which is usually a ratio or a specific number of tons.

[0082] Specifically, the sorting event is determined as follows: Assuming the coal pile composition ratio is consistent with the historical pile ratio; calculate the sorting data: Shanxi premium mixed coal: (300 / 600)*600 tons = 300 tons; Inner Mongolia lignite: (300 / 600)*600 tons = 300 tons; the system outputs the sorting data: the coal pile to be transported #SE-07 is estimated to contain approximately 300 tons of Shanxi premium mixed coal and approximately 300 tons of Inner Mongolia lignite.

[0083] Therefore, a first coordination coefficient is determined based on sorting data of various types of coal and the distribution of multiple sub-coal conveying paths. A second coordination coefficient is determined based on sorting data of various types of coal and the current state of the coal conveying system equipment. Cooperative transportation events of multiple sub-coal conveying paths are determined based on the first coordination coefficient, the second coordination coefficient, and the cooperative transportation mapping relationship. This approach takes into account the overall consideration of the first coordination coefficient, the second coordination coefficient, and the cooperative transportation mapping relationship, ensuring the accuracy of cooperative transportation events of multiple sub-coal conveying paths. At the same time, the introduction of sub-coal conveying paths takes into account the sorting events of the coal pile to be conveyed, the distribution of multiple sub-coal conveying paths, and the current state of the coal conveying system equipment, thereby improving the accuracy of cooperative transportation events of multiple sub-coal conveying paths.

[0084] At this point, for each type of coal, the optimal path from its sorting outlet to its target location (or primary target location) is calculated. Here, "optimal" can be based on various criteria, such as the shortest path length, the lowest path load, and the best matching of path types (e.g., fragile coal prefers a belt conveyor path with less vibration). A matching score is calculated for each sub-conveying path (e.g., between 0 and 1, with 1 indicating a perfect match). The instantaneous flow rate of coal is compared with the remaining capacity of the sub-conveying path. If the remaining capacity of a path is much greater than the flow rate of a certain type of coal it needs to carry, the matching score of that path for that type of coal can be appropriately increased (indicating that the path has the capacity to handle it); conversely, if the path capacity is close to saturation, even if physically matched, the score should be reduced.

[0085] For all types of coal, calculate the matching score between its "ideal path" and each sub-coal conveying path, and weight it by combining the instantaneous flow rate of that coal type. For example, for sub-path i, its first coordination coefficient contribution value can be expressed as: Σ(flow rate of coal type j * matching score of coal type j to path i) / Σ(flow rate of all coal types * matching score of coal type j to its ideal path). Perform this calculation on all sub-path i to obtain the first coordination coefficient of each sub-path. Alternatively, a global first coordination coefficient can be calculated to represent the average level of overall matching. The first coordination coefficient (C1) can be set between 0 and 1. C1≈1: indicates that the distribution of coal types is highly matched with the location layout of sub-coal conveying paths, and most coal can be transported through the ideal path. C1≈0: indicates that the matching degree is very poor, and there are many detours, congestion, or capacity mismatches.

[0086] Furthermore, the requirements of different coal types on equipment are analyzed; for example, large coal requires stronger crushing capabilities, high-moisture coal affects belt adhesion and transfer point blockage, and specific coal types have special requirements for screening machine screens; a matching score (0-1) is calculated for each coal type and each type of equipment (or key equipment node), considering coal characteristics and the current state of the equipment (such as efficiency, whether there are related faults); it is identified which equipment or equipment combinations have become bottlenecks in handling the current coal flow under the current operating conditions; for example, a certain coal feeder is inefficient, or a certain transfer point is frequently blocked; combining the coal flow rate and the above matching score, bottleneck impact, Calculate the second coordination coefficient; for example, for the global second coordination coefficient (C2), it can be calculated as: Σ(flow rate of coal type j * matching score of coal type j with the overall equipment status of the system) / Σ(flow rate of all coal types * ideal processing matching score of coal type j); the matching score needs to comprehensively consider the status of all relevant equipment; the second coordination coefficient (C2) is also set between 0 and 1; C2≈1: indicates that the equipment status is good and can efficiently handle the flow rate and characteristic requirements of all types of coal; C2≈0: indicates that the equipment status is poor, with multiple faults, low efficiency, or serious mismatch with coal characteristics, and the processing capacity is severely limited.

[0087] The collaborative transportation mapping relationship is a rule base, decision tree, lookup table, or model-based prediction; it defines what collaborative transportation strategy should be adopted under different combinations of C1 and C2. In this case, the event `IFC1>0.8 AND C2>0.8THEN` means "Normal collaborative transportation, prioritizing the use of matching paths and optimizing traffic allocation"; the event `IFC1>0.8 AND C2BETWEEN0.6 AND 0.8THEN` means "Normal collaborative transportation, but equipment status needs to be monitored, and pre-maintenance reminders should be given to inefficient equipment"; `IFC1BETWEEN0.6 AND 0.8 AND C` means... 2>0.8THEN event = "Normal coordinated transportation, but attention needs to be paid to the route capacity, and the flow of some coal types needs to be adjusted to avoid congestion"; IFC1BETWEEN0.6AND0.8ANDC2BETWEEN0.6AND0.8THEN event = "Maintain basic coordinated transportation, activate some backup routes or adjust the processing priority of coal types, and reduce the flow of non-critical coal types"; IFC1<0.6ORC2<0.6THEN event = "Activate the emergency coordinated transportation plan, significantly reduce unnecessary transportation, prioritize the protection of critical coal types and routes, and notify dispatchers to conduct manual intervention."

[0088] After the system calculates C1 and C2 in real time, it uses them as input to query or match the collaborative transportation mapping relationship and find the corresponding "collaborative transportation event" description or instruction. This event can be a status description (such as "the system is running smoothly and collaborative transportation is normal") or a series of specific operation instructions (such as "adjust the flow rate of coal A from 10 tons / hour from path 1 to path 2", "increase the running speed of path 3 to 90%", "monitor the temperature of the transfer point of path 2"). This process should be dynamic, and the collaborative transportation event will be adjusted accordingly as C1 and C2 change.

[0089] Specifically, C1 = 0.64 indicates a problem with path capacity matching (mainly insufficient capacity of path 1 and path 2), and C2 = 0.796 indicates a loss in equipment efficiency, but it is still acceptable. The current collaborative transportation event is "maintain basic collaborative transportation, activate some backup paths or adjust the priority of coal type processing, and reduce the flow of non-critical coal types". Specific operations include: prioritizing the transportation of coal C; controlling the flow of coal A within the capacity of path 1, with the excess to be transported later; controlling the flow of coal B within the capacity of path 2, with the excess to be transported later; monitoring the transfer point of path 2; checking backup paths; and reminding maintenance personnel to pay attention to relevant equipment.

[0090] refer to Figure 5 In step S14, the specific steps are as follows:

[0091] S141: Real-time monitoring of collaborative transportation events of multiple sub-coal conveying paths, transportation monitoring of each sub-coal conveying path, and collection of the coal conveying process corresponding to each sub-coal conveying path. At this time, the current coal conveying quantity is marked in the coal conveying process corresponding to the sub-coal conveying path.

[0092] S142: Present the corresponding current coal conveying volume for multiple sub-coal conveying paths, determine the remaining coal conveying volume of the sub-coal conveying path based on the theoretical load of the sub-coal conveying path and the corresponding current coal conveying volume; determine the coal conveying capacity coefficient of the coal conveying system equipment based on the remaining coal conveying volume of each sub-coal conveying path, the model of the coal conveying system equipment, and the service life of the equipment.

[0093] S143: Monitor the coal pile to be transported in real time and count the remaining amount of the coal pile to be transported. Determine the overload of the coal conveying system equipment based on the remaining amount of the coal pile to be transported, the remaining amount of coal conveyed in each sub-coal conveying path and the coal conveying capacity coefficient of the coal conveying system equipment.

[0094] In the embodiments of this application, real-time monitoring of coordinated transportation events of multiple sub-coal conveying paths relies on sensors and monitoring systems installed on each sub-coal conveying path; for example, if wear risk is predicted, it is necessary to closely monitor parameters such as vibration, temperature, and current of the relevant equipment; if material blockage risk is predicted, it is necessary to monitor the material flow sensor, belt tension, drive motor current, etc. on the belt conveyor.

[0095] The system provides comprehensive, real-time monitoring of the entire physical transportation process of the sub-coal conveying path, rather than focusing solely on specific events. The goal is to gain a complete understanding of the path's operational status, encompassing the status of all key equipment and components. This includes, but is not limited to: equipment operating status: whether each piece of equipment (belt conveyor, bucket wheel conveyor, coal feeder, crusher, screening machine, etc.) is operating and whether its operating speed is normal; physical parameters: belt tension, belt misalignment (via camera or sensor), material flow uniformity, temperature and vibration of key components (such as rollers, idlers, bearings); electrical parameters: current, voltage, power, and operating frequency of each drive motor; and position and control: equipment start / stop status, interlocking relationships, material flow switch positions, etc. This data is typically collected through a distributed control system (DCS), programmable logic controller (PLC), or industrial Internet of Things (IIoT) platform and transmitted to a central monitoring station or cloud platform.

[0096] Specifically, sub-path 1 (segment N0 to N1, including a new belt conveyor and a coal feeder) and sub-path 3 (segment N2 to N3, including a belt conveyor and a crusher); the system will comprehensively monitor these two paths; Sub-path 1: monitors the operating speed of the new belt conveyor (whether it reaches the set value), belt tension (whether it is normal), drive motor current (whether it is stable near the rated value), coal feed rate of the coal feeder (whether it feeds coal evenly according to the set value), and coal feeder motor current; Sub-path 3: monitors the operating status of the belt conveyor, drive motor current, and whether the belt is misaligned (through... The system monitors the following parameters in real time: (1) via camera feed (measured by the coal feeder or upstream belt conveyor), (2) the crusher's feed rate (measured by the coal feeder or upstream belt conveyor), (3) the output particle size (if an online particle size analyzer is installed), (4) the crusher's vibration, and (5) the motor current. The monitoring system interface displays the values ​​and trend graphs of these parameters in real time. For example, it can be seen that the belt conveyor speed of sub-path 1 is stable at 2.5 m / s, and the motor current is stable at 35 A; the coal feeder's coal feed rate is stable at 150 t / h, and the motor current is stable at 8 A; the belt conveyor of sub-path 3 is operating normally, the crusher's vibration value is stable at 5 mm / s, and the motor current is stable at 45 A.

[0097] The coal conveying process corresponding to each sub-coal conveying path is collected. The coal conveying process usually includes: task start time, task objective (such as how many tons of coal to transport from which node to which node), current running status (conveying, paused, completed), and current location (if the path is long, at a certain midpoint of the path). The current coal conveying quantity is marked in the coal conveying process corresponding to the sub-coal conveying path. The current coal conveying quantity is usually measured in real time by weighing sensors (such as belt scales) installed on the path. These measurement data are recorded and associated with the current task of the sub-path.

[0098] Specifically, suppose the system needs to transport coal from point N0 to point N3, and has allocated three sub-paths: sub-path 1 (N0 to N1), sub-path 2 (N1 to N2), and sub-path 3 (N2 to N3); the total task is 600 tons, and transportation has already begun; Sub-path 1: the system records its current process as "transporting coal from N0 to N1, target total 200 tons"; the belt scale installed on the conveyor belt between N0 and N1 measures in real time; assuming that at the current moment, the belt scale has cumulatively measured and shown that 80 tons of coal have been transported; the system then marks "current coal transported: 80 tons" in the process record of sub-path 1; Sub-path 2: records the process... The task card for sub-path 1 is "Transporting coal from N1 to N2, with a target total of 250 tons". Its belt scale shows that 110 tons have been transported, marked "Current coal transport: 110 tons". Sub-path 2 is "Transporting coal from N2 to N3, with a target total of 150 tons". Its belt scale shows that 40 tons have been transported, marked "Current coal transport: 40 tons". On the interface of the central monitoring system, the task card for each sub-path can be clearly seen, and the value of "Current coal transport" is updated in real time. For example, the card for sub-path 1 shows "Task: N0>N1, target 200t, 80t completed, current coal transport: 80t".

[0099] Furthermore, given the current coal conveying volume of multiple sub-coal conveying paths, the remaining coal conveying volume of each sub-coal conveying path is determined based on its theoretical load and the corresponding current coal conveying volume. The coal conveying capacity coefficient of the coal conveying system equipment is determined based on the remaining coal conveying volume of each sub-coal conveying path, the model of the coal conveying system equipment, and its service life. This comprehensive consideration of the remaining coal conveying volume of each sub-coal conveying path, the model of the coal conveying system equipment, and its service life ensures the accuracy of the coal conveying capacity coefficient of the coal conveying system equipment.

[0100] At this point, the current coal conveying volume is displayed for multiple sub-coal conveying paths. The system has obtained the real-time conveying volume data of each sub-path through S141 (for example, sub-path 1 has conveyed 80 tons, sub-path 2 has conveyed 110 tons, and sub-path 3 has conveyed 40 tons). This data is stored in the database or displayed on the monitoring interface to provide input for subsequent calculations.

[0101] The theoretical load capacity refers to the predetermined conveying task allocated to each sub-coal conveying path. This amount is usually determined before the task begins based on the total task capacity, path design capacity, and operating strategy (for example, sub-path 1 plans to convey 200 tons, sub-path 2 plans to convey 150 tons, and sub-path 3 plans to convey 20 tons).

[0102] Determine the remaining coal transport volume: This is the most direct subtraction calculation; for each sub-path, subtract the current transport volume from its theoretical load to obtain the amount of coal that still needs to be transported for that path; Formula: Remaining coal transport volume = Theoretical load volume - Current coal transport volume. This value is the basis for assessing the subsequent workload and equipment pressure.

[0103] The remaining coal conveying capacity of each sub-coal conveying path, the model and service life of the coal conveying system equipment are introduced. Regarding the model of the coal conveying system equipment: different equipment (such as belt conveyors, crushers, screening machines, etc. from different manufacturers and of different specifications) has different design capabilities, efficiencies, and reliability; the system needs to know the specific model of the key equipment on each sub-path in order to look up its rated performance parameters. Regarding the service life of the coal conveying system equipment: as the usage time increases, the performance of the equipment will decline and the failure rate will increase; the service life is an important reference for assessing the current actual usable capacity of the equipment. Generally, the longer the service life, the more severe the equipment aging, and the lower the actual capacity coefficient will be.

[0104] The coal conveying capacity coefficient is a dimensionless value (usually between 0 and 1, or greater than 1 indicating overload capacity). It represents the actual working capacity or available capacity of the coal conveying system under current conditions (considering remaining workload and equipment condition) relative to its theoretical maximum capacity (or design capacity). At this point, based on the equipment model, its designed maximum conveying capacity is found (e.g., the conveying volume corresponding to the designed maximum belt speed and maximum bandwidth of a belt conveyor). Based on the service life, an aging reduction factor is applied (e.g., if the service life exceeds half of the design life, the capacity is reduced by 80%; if it exceeds the design life, the capacity is reduced by 60%). This yields the current available capacity of a single critical piece of equipment. A sub-path typically contains multiple pieces of equipment; it is necessary to comprehensively consider the current available capacity of all critical equipment on the path, and take the bottleneck capacity (minimum value) as the current available capacity of the sub-path.

[0105] Specifically, sub-path 1: theoretical load capacity 200 tons, current coal conveying volume 80 tons > remaining coal conveying volume = 200 - 80 = 120 tons; sub-path 2: theoretical load capacity 150 tons, current coal conveying volume 110 tons > remaining coal conveying volume = 150 - 110 = 40 tons; sub-path 3: theoretical load capacity 20 tons, current coal conveying volume 40 tons > remaining coal conveying volume = 20 - 40 = -20 tons (indicating that this path has completed its task, or even conveyed more); total remaining workload = 120 + 40 + (-20) = 140 tons.

[0106] Sub-path 1: The key equipment is belt conveyor B1, model A, with a service life of 8 years (assuming a design life of 15 years); research shows that B1's maximum design capacity is 180 tons / hour; considering an 8-year service life, and using an aging reduction factor of 0.9, B1's current usable capacity is approximately 180 * 0.9 = 162 tons / hour. Sub-path 2: The key equipment is belt conveyor B2, model B, with a service life of 12 years (assuming a design life of 10 years); research shows that B2's maximum design capacity is 150 tons / hour; since it has exceeded its design life, and using an aging reduction factor of 0.7, B2's current usable capacity is approximately 1... 50 * 0.7 = 105 tons / hour; there is also a coal feeder G2, with a design capacity of 100 tons / hour, a service life of 10 years, a reduction factor of 0.8, and an available capacity of 80 tons / hour; the capacity bottleneck of this sub-path is the coal feeder G2, with an available capacity of 80 tons / hour; Sub-path 3: the key equipment is the belt conveyor B3, model C, with a service life of 5 years (assuming a design life of 10 years); it is found that the maximum design capacity of B3 is 50 tons / hour; considering a 5-year service life, and taking an aging reduction factor of 0.95, the current available capacity of B3 is approximately 50 * 0.95 = 47.5 tons / hour.

[0107] Assuming the current time is 08:30, and the plan is to complete all tasks before 09:00 (remaining time 30 minutes = 0.5 hours); Sub-path 1: 0.5 hours * 162 tons / hour = 81 tons of achievable capacity; Sub-path 2: 0.5 hours * 80 tons / hour = 40 tons of achievable capacity; Sub-path 3: This path has been completed and will not be considered further; Total achievable capacity = 81 + 40 = 121 tons.

[0108] The coal conveying capacity coefficient = total achievable capacity / total remaining workload = 121 / 140 ≈ 0.864. This coefficient of 0.864 indicates that, considering equipment aging (especially the coal feeder in sub-path 2 exceeding its service life) and remaining time, the system can theoretically complete 86.4% of the remaining workload. This means that although the system has the capacity to complete the workload, it is already under considerable strain, especially since sub-path 2 is a significant bottleneck. If the remaining time is shorter, or if minor equipment malfunctions cause a further decrease in capacity, overload is likely to occur. This coefficient of 0.864 will serve as an important basis for the next step, S143, to calculate the overload.

[0109] Therefore, real-time monitoring of the coal pile to be transported and the calculation of its remaining quantity are used to determine the overload of the coal conveying system equipment based on the remaining quantity of the coal pile to be transported, the remaining coal conveying quantity of each sub-coal conveying path, and the coal conveying capacity coefficient of the coal conveying system equipment. This comprehensive consideration of the remaining quantity of the coal pile to be transported, the remaining coal conveying quantity of each sub-coal conveying path, and the coal conveying capacity coefficient of the coal conveying system equipment ensures the accuracy of the overload of the coal conveying system equipment.

[0110] At this time, the coal pile to be transported is monitored in real time. Based on the monitoring data, the amount of coal remaining in the coal pile is calculated or estimated. This amount is dynamic and reflects how much coal has been transported from the time the coal pile was first mined until the current moment, as well as the natural losses of the coal pile itself (such as weathering, rain, etc., which are usually small but need to be considered in the long term). This remaining amount is one of the key data for calculating the total remaining demand.

[0111] Typically, during task allocation, the total workload is known and has been distributed to each sub-path (i.e., the sum of the initial theoretical loads of each sub-path). However, the remaining amount of coal in the coal pile may not perfectly match the initial allocation due to various reasons (such as discrepancies between the actual amount of coal in the pile and the estimate, or adjustments made midway through the task). In S143, the total remaining demand equals the remaining amount of coal to be transported. This means that the system needs to recalculate the amount of transport required for each sub-path based on the actual remaining amount of coal. Then, by comparing this total remaining demand with the system's current capacity, a coal conveying capacity coefficient is introduced. This coefficient represents the system's ability to complete a unit of remaining workload under current conditions (considering equipment status and remaining time). If the coal conveying capacity coefficient is 0.8, it means that the system can only complete 80% of the total remaining demand. Therefore, the overload = total remaining demand × (1 - coal conveying capacity coefficient). If the result is positive, it indicates that the system is overloaded; if it is negative or zero, it indicates that the system is capable of completing or just completing the task. This "overload" is a key indicator that quantifies the pressure currently faced by the system.

[0112] Specifically, assuming the time point is 08:30: S141 result: Sub-path 1 has transported 80 tons, sub-path 2 has transported 110 tons, and sub-path 3 has transported 40 tons; S142 result: Sub-path 1 has a remaining coal transport capacity of 120 tons, sub-path 2 has a remaining coal transport capacity of 40 tons, and sub-path 3 has a remaining coal transport capacity of 0 tons; the coal transport capacity coefficient is calculated to be 0.864.

[0113] The system uses a radar level gauge installed on coal pile #SE-07 to monitor the current height of the coal pile in real time, which is 3.5 meters. Combined with the shape of the coal pile (previously marked as conical, with a density of approximately 0.85 tons / cubic meter), the system estimates the current volume of the coal pile to be approximately:

[0114] V=(1 / 3)*π*r 2 *h≈(1 / 3)*3.14*(5m) 2*3.5m ≈ 91.6 cubic meters; (assuming the radius of the coal pile base is approximately 5 meters), estimated remaining coal quantity = volume × density ≈ 91.6m³ 3 *0.85t / m 3 ≈77.9 tons.

[0115] Based on task allocation; Total remaining demand = Remaining demand of sub-path 1 + Remaining demand of sub-path 2 + Remaining demand of sub-path 3 = 120 tons + 40 tons + 0 tons = 160 tons; The previously calculated coal conveying capacity coefficient is 0.864, which means the system has the capacity to complete 86.4% of the remaining workload; The maximum amount the system can complete in the remaining time (0.5 hours) = Coal conveying capacity coefficient × Total remaining demand = 0.864 × 160 tons ≈ 138.2 tons; Overload = Total remaining demand - Maximum amount the system can complete in the remaining time. Therefore, the overload = 160 tons - 138.2 tons = 21.8 tons; The overload of 21.8 tons is a... A positive number means that even after considering the capacity reduction caused by equipment aging (especially the coal feeder in sub-path 2), the system will still be unable to complete the full 160-ton conveying task within the remaining 30 minutes, with an estimated shortfall of approximately 21.8 tons. This positive overload directly indicates that the system is currently overloaded or at risk of imminent overload. This 21.8-ton figure, and its cause (mainly the capacity bottleneck of sub-path 2), will serve as an important basis for the next step, S15, for collaborative diagnosis and risk warning. The system needs to take emergency measures, such as: attempting to increase the conveying rate of sub-path 1 or sub-path 3 (if safe); contacting the dispatcher to see if some tasks can be postponed; and strengthening monitoring of sub-path 2 to prevent it from malfunctioning due to overload.

[0116] refer to Figure 6 In step S15, the specific steps are as follows:

[0117] S151: Determine the overload status of the coal system equipment based on the excessive load of the coal conveying system equipment, and trigger the overload control scheme of the coal system equipment. In the overload control scheme, the location of the coal system equipment is collected, and the conveying coordination equipment of the coal system equipment is determined based on the surrounding detection of the location of the coal system equipment.

[0118] S152: Determine the corresponding coal allocation coefficient based on the overload of the coal conveying system equipment and the theoretical coal conveying capacity of the coal system equipment's conveying coordination equipment; determine the coordination path combination based on the theoretical coal conveying capacity of the conveying coordination equipment and multiple sub-coal conveying paths; and determine the external coordination path based on the coal allocation coefficient, the location of the conveying coordination equipment, and the coordination path combination.

[0119] S153: Monitor external collaborative paths in real time and mark the collaborative status corresponding to the external collaborative path. Define a first state coefficient based on the collaborative status and the external collaborative path. Determine a second state coefficient based on the collaborative status and the coal conveying process of multiple sub-coal conveying paths. Determine the operating status of the coal conveying system equipment based on the mapping relationship between the first state coefficient, the second state coefficient and the operating status.

[0120] In the embodiments of this application, the "load excess" calculated in S143 is the triggering condition for this step; if the load excess is positive and exceeds the preset safety threshold (for example, the excess is greater than 10 tons or the excess accounts for 15% of the total design capacity), the system determines it to be an "overload state"; once overload is determined, the system will automatically start the preset "overload control scheme", which is a predefined response process designed to reduce the load.

[0121] The system needs to know the specific physical location of this critical coal system equipment, which is usually determined by GPS positioning modules, RFID tags, or fixed coordinates based on network topology installed on it; for example, the coal feeder of sub-path 2 is located below coal bunker #C02, with coordinates X=100m, Y=50m; based on the location of the equipment, the system detects its physical surroundings (e.g., other coal feeders in the same coal bunker, or nearby belt conveyor entrances that can be connected) to find "cooperative conveying equipment" that can work together. This includes: standby equipment: coal feeders in standby status in the same coal bunker; adjacent path equipment: starting equipment (such as coal feeders) in adjacent sub-paths that are close in location and can be added to the current conveying task by switching valves or adjusting flow direction; switchable paths: entrance points that can be switched to other existing belt conveyor paths from this location; the surrounding detection can be physical sensors (such as valve status, equipment operation status signals) combined with a preset topology map, or it can be a list of cooperative equipment recorded in the system database.

[0122] Specifically, assuming the load excess calculated by S143 is 36 tons (as in the previous example), exceeding the preset threshold of 30 tons, the system determines it to be in an overload state and triggers the overload control scheme. The system identifies the heaviest-loaded equipment as the coal feeder of sub-path 2 (model: GCM-200, located below coal bunker #C02, coordinates X=100m, Y=50m). Based on the location X=100m, Y=50m, the system detects in its surrounding database or through sensors that: there is a spare coal feeder GCM-201 below coal bunker #C02 (currently shut down); there is a coal feeder GCM-300 of sub-path 3 nearby, whose belt can switch flow direction, and some coal flow can be guided to the subsequent belt of sub-path 2; there is a switching valve V-501 (currently closed) nearby leading to the spare belt channel #B05; the system identifies these devices (GCM-201, GCM-300, V-501 / B05) as "conveyor coordination equipment".

[0123] Furthermore, the corresponding coal allocation coefficient is determined based on the overload of the coal conveying system equipment and the theoretical coal conveying capacity of the coal conveying coordination equipment. The coordination path combination is determined based on the theoretical coal conveying capacity of the coordination equipment and multiple sub-coal conveying paths. The external coordination path is determined based on the coal allocation coefficient, the location of the coordination equipment, and the coordination path combination. This approach takes into account the overall consideration of the coal allocation coefficient, the location of the coordination equipment, and the coordination path combination, ensuring the accuracy of the external coordination path.

[0124] At this point, a coal allocation coefficient is introduced, which determines how much overloaded coal (i.e., excess load) is allocated to the selected "conveyor coordination equipment" to handle. The allocation coefficient can be calculated based on: the theoretical coal conveying capacity of the coordination equipment: for example, the theoretical maximum coal conveying capacity of GCM-201 is 100 tons / hour, the theoretical maximum coal conveying capacity of GCM-300 is 150 tons / hour (assuming that part of its coal flow can be directed to sub-path 2), and the theoretical maximum coal conveying capacity of channel B05 is 80 tons / hour; the magnitude of the excess load: how much coal needs to be transferred; the current status and remaining capacity of the coordination equipment: for example, although GCM-201 is on standby, it requires preheating time; GCM-300 is currently handling part of the load, and its available capacity is limited; channel B05 is currently empty and can be activated immediately; the allocation coefficient can be "coordinator equipment's capacity to handle / total required transfer capacity".

[0125] Based on the theoretical coal conveying capacity of the coordinating equipment and the current layout and status of all sub-coal conveying paths, the system plans specific path combinations to enable the coordinating equipment to effectively share the load. This involves: selecting which coordinating equipment to activate; determining which existing sub-coal conveying paths the coal flow should merge into after departing from the coordinating equipment, or whether it should take a completely new path; and considering the physical connectivity of the paths, valve switching logic, etc.

[0126] By combining the coal allocation coefficient (which determines how much coal is transferred through the path), the location of the cooperating equipment (which determines the starting point of the path), and the selected combination of cooperating paths (which determines the direction and destination of the coal flow), one or more "external cooperating paths" are finally identified. Here, "external" refers to the sub-path that was initially overloaded, meaning that a new, unplanned path is introduced to share the load.

[0127] Specifically, the overload is 36 tons; the theoretical coal conveying capacity of the coordinating equipment is: GCM-201: 100t / h, GCM-300 (available portion): 50t / h (assumed), B05: 80t / h; it is assumed that after system evaluation, GCM-201 needs 10 minutes of preheating and cannot be used immediately; GCM-300 can immediately allocate 20t / h of capacity (allocation coefficient: 20 / 36≈0.56); the B05 channel can be used immediately and is capable of handling the remaining portion (allocation coefficient: 16 / 36≈0.44).

[0128] Determine the coordinated path combination: Select to activate part of the capacity of GCM-300 and channel B05; Plan the path: The coal flow diverted from GCM-300 is switched through a valve and merged into the subsequent conveyor belt of sub-path 2; The coal flow from channel B05 goes directly to the final destination (or merges into another main path).

[0129] Determine the external collaborative paths: Path 1 (based on GCM-300): The starting point is GCM-300, which switches via valves and merges into the subsequent conveyor belt of sub-path 2; the allocation coefficient is 0.56, meaning that approximately 20.2 tons (36*0.56) of overloaded coal will be transferred through this path; Path 2 (based on B05): The starting point is the coal feeder (assuming there is still coal in coal bunker #C02 that can be fed to B05) or the switching point, which takes the B05 channel; the allocation coefficient is 0.44, meaning that approximately 15.8 tons (36*0.44) of overloaded coal will be transferred through this path. These two paths are the "external collaborative paths", which work in conjunction with the original sub-path 2 to complete the transportation task.

[0130] Therefore, by monitoring external collaborative paths in real time and marking the collaborative status corresponding to each path, a first state coefficient is defined based on the collaborative status and the external collaborative path. A second state coefficient is determined based on the collaborative status and the coal conveying progress of multiple sub-coal conveying paths. The operating status of the coal conveying system equipment is determined based on the mapping relationship between the first and second state coefficients and the operating status. This approach takes into account the overall consideration of the mapping relationship between the first and second state coefficients and the operating status, ensuring the accuracy of the operating status of the coal conveying system equipment. At the same time, the overload of the coal conveying system equipment is introduced, and the overload of the coal conveying system equipment is further coordinated and controlled. This achieves coordinated diagnosis of the collaborative status corresponding to the external collaborative path and the coal conveying progress of multiple sub-coal conveying paths, thereby improving the accuracy of the operating status of the coal conveying system equipment.

[0131] At this point, the system needs to continuously monitor the operating parameters of each device on the external collaborative path (such as coal feeder #G01, connection point #J01, and belt conveyor #B02-2 in the example above), such as: whether the coal output of #G01 reaches the expected level (e.g., the expected output is 5 tons / hour, but the actual output is 4.8 tons / hour), the operating speed of #B02-2, the amount of coal on the belt, whether there are any abnormal alarms (such as deviation, excessive temperature, abnormal current, etc.), and whether the connection of #J01 is unobstructed. Based on the monitoring data, the system needs to determine the overall operation of this external collaborative path. The system tracks the operation of equipment and labels it as a "coordinated state." This state can be a qualitative or quantitative description, for example: State A (Normal): All equipment operates smoothly, the coal conveying volume is close to the expected volume, and there are no alarms; State B (Slight Abnormality): A certain equipment parameter deviates slightly (such as a slightly lower coal conveying volume), but there are no alarms, and the overall operation is acceptable; State C (Severe Abnormality): Equipment alarms occur, the coal conveying volume is far lower than expected, blockages or deviations occur, etc.; State D (Interruption): A critical piece of equipment on the path stops operating or malfunctions, causing the path to be completely interrupted.

[0132] Define the first state coefficient: This coefficient is a quantitative assessment of the current operating status of the external collaborative path; it mainly reflects whether the new path itself works as expected and its work quality; Calculation method: It can be defined according to the collaborative status, for example: Status A (normal): coefficient close to 1.0 (e.g., 0.95); Status B (minor abnormality): coefficient between 0.8 and 0.9 (e.g., 0.85); Status C (serious abnormality): coefficient between 0.5 and 0.7 (e.g., 0.6); Status D (interrupted): coefficient is 0; It can also be calculated in combination with specific parameters, for example: First state coefficient = (actual coal conveying volume / expected coal conveying volume) * (1 - abnormal alarm weight); If the actual coal conveying volume is 90% of the expected volume and there is a minor alarm, the coefficient is 0.9 * (1 - 0.1) = 0.81.

[0133] Define the second state coefficient: This coefficient reflects the impact of introducing an external coordinating path on the coal transportation process of the entire system (especially the previously overloaded sub-paths). It needs to be considered in conjunction with the state of the external coordinating path and the current coal transportation progress of all sub-paths. The following factors can be considered: the amount of coal transported by the external coordinating path: how much coal has been transported through this new path; the mitigation effect on the original overloaded sub-paths: whether the overload of the original overloaded sub-paths (such as sub-path 2) has been reduced as a result; whether the rate of reduction of its "remaining coal transport volume" has accelerated; the operating status of other sub-paths: whether other sub-paths have been affected by the occupation of resources (such as manpower and electricity) by this new path. For example, if the external coordinating path is in good condition and significantly reduces the burden on the original overloaded sub-paths, the second state coefficient will be higher; conversely, if the condition is poor or it causes other sub-paths to be obstructed, the coefficient will be lower.

[0134] Specifically, the system observed that, due to the external collaborative path (#G01>#J01>#B02-2) operating at a speed of 4.8 tons / hour, approximately 12 tons of coal were transported to the end of sub-path 2 after about 15 minutes. This reduced the actual load excess of sub-path 2 from 36 tons to approximately 24 tons (assuming the original system continued to transport coal at the original speed during these 15 minutes). Although the coal transport volume was slightly lower than expected (affecting the first state coefficient), it effectively alleviated the pressure on sub-path 2 and did not significantly affect the operation of other sub-paths. Therefore, the system determined the "second state coefficient" to be 0.9, indicating that this collaborative path had a significant positive impact on the overall coal transport process.

[0135] The operational status mapping relationship is a pre-defined rule base or algorithm that defines which operational status the system should be evaluated to under different combinations of the first and second status coefficients. For example: if the first coefficient > 0.9 and the second coefficient > 0.9: the status is "excellent"; if the first coefficient > 0.8 and the second coefficient > 0.8: the status is "good"; if the first coefficient > 0.7 and the second coefficient > 0.7: the status is "medium"; if the first coefficient < 0.5 or the second coefficient < 0.5: the status is "poor" or "requires intervention". To determine the operational status, substitute the calculated first status coefficient (0.85) and the second status coefficient (0.9) into this mapping relationship for judgment.

[0136] At this point, the system substitutes the first state coefficient of 0.85 and the second state coefficient of 0.9 into the preset "operational state mapping relationship". The assumed rule is: if the first coefficient is ≥0.8 and the second coefficient is ≥0.8, then the state is "good". Since 0.85≥0.8 and 0.9≥0.8, the system finally determines the current "coal conveying system equipment operation status" as "good". This means that although there are some minor problems with the external coordination path, it has successfully helped the system alleviate overload and the overall operation is good.

[0137] Please see Figure 7 , Figure 7 This is a schematic diagram of the structural composition of the collaborative diagnostic system for the operating status of coal conveying system equipment in this embodiment of the invention; the collaborative diagnostic system for the operating status of coal conveying system equipment includes:

[0138] Coal conveying node module 21 is used to mark multiple coal conveying nodes on the coal conveying path of the coal conveying system equipment, and each coal conveying node is matched with a corresponding set of working data;

[0139] Sub-coal conveying path module 22 is used to determine the working status of coal conveying nodes based on each working data set and the location of the corresponding coal conveying nodes, and to determine multiple sub-coal conveying paths based on the working status of each coal conveying node, the coal conveying task of the coal conveying system equipment and the coal conveying path.

[0140] The collaborative transportation event module 23 is used to determine the coal pile to be transported based on the traceability of the coal transport task of the coal transport system equipment, and to determine the collaborative transportation events of multiple sub-coal transport paths based on the sorting events of the coal pile to be transported, the distribution location of multiple sub-coal transport paths and the current status of the coal transport system equipment.

[0141] The overload module 24 is used to determine the overload of the coal conveying system equipment in the context of a coordinated transportation event involving multiple sub-coal conveying paths, based on the coal conveying progress and the remaining amount of coal to be conveyed in the multiple sub-coal conveying paths.

[0142] The operation status module 25 is used to determine the external collaborative path based on the load excess of the coal conveying system equipment, the conveying collaborative equipment of the coal system equipment and multiple sub-coal conveying paths, and to determine the operation status of the coal conveying system equipment based on the collaborative status corresponding to the external collaborative path and the collaborative diagnosis of the coal conveying process of multiple sub-coal conveying paths.

[0143] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A collaborative diagnostic method for the operating status of equipment in a coal conveying system, characterized in that, include: Multiple coal conveying nodes are marked on the coal conveying path of the coal conveying system equipment, and each coal conveying node is matched with a corresponding set of working data. The working status of the coal conveying nodes is determined based on the working data sets and the location of the corresponding coal conveying nodes. Multiple sub-coal conveying paths are determined based on the working status of each coal conveying node, the coal conveying task of the coal conveying system equipment, and the coal conveying path. The coal pile to be transported is determined by tracing the coal transport task volume of the coal conveying system equipment, and the collaborative transport events of multiple sub-coal conveying paths are determined based on the sorting events of the coal pile to be transported, the distribution locations of multiple sub-coal conveying paths, and the current status of the coal conveying system equipment. In a coordinated transportation event involving multiple sub-coal conveying paths, the overload of the coal conveying system equipment is determined based on the coal conveying progress corresponding to the multiple sub-coal conveying paths and the remaining amount of coal to be conveyed. The external collaborative path is determined based on the overload of the coal conveying system equipment, the conveying coordination equipment of the coal system equipment, and multiple sub-coal conveying paths. The operating status of the coal conveying system equipment is determined based on the collaborative status corresponding to the external collaborative path and the collaborative diagnosis of the coal conveying process of multiple sub-coal conveying paths.

2. The collaborative diagnostic method for the operating status of coal conveying system equipment according to claim 1, characterized in that, The coal conveying system equipment marks multiple coal conveying nodes along the coal conveying path, and each coal conveying node is matched with a corresponding set of working data, including: Collect the structural distribution map of the coal conveying system equipment, determine the coal conveying path of the coal conveying system equipment based on the path detection of the structural distribution map, and determine multiple sub-coal conveying areas according to the coal conveying path and the process combination of the coal conveying system equipment; In each sub-coal conveying area, coal conveying nodes are determined based on the location, shape, and corresponding process of the sub-coal conveying area to mark multiple coal conveying nodes, each of which is distributed in the corresponding sub-coal conveying area; Each coal conveying node is monitored in real time, and multiple working data are collected at each coal conveying node. A corresponding working data set is constructed based on the multiple working data.

3. The collaborative diagnostic method for the operating status of coal conveying system equipment according to claim 1, characterized in that, The working status of the coal conveying nodes is determined based on each working data set and the location of the corresponding coal conveying nodes. Multiple sub-coal conveying paths are determined based on the working status of each coal conveying node, the coal conveying task of the coal conveying system equipment, and the coal conveying path, including: Collect various work data sets, and determine multiple work data combinations based on the division of work data sets and the corresponding processes of coal conveying nodes; The corresponding working characteristics are determined by identifying combinations of multiple working data. At this time, each coal conveying node has multiple working characteristics. The working status of the coal conveying node is determined based on the multiple working characteristics and the location of the corresponding coal conveying node. Collect the coal conveying task volume of the coal conveying system equipment, determine the first path combination based on the coal conveying task volume of the coal conveying system equipment and the working status of each coal conveying node, determine the second path combination based on the coal conveying task volume of the coal conveying system equipment and the coal conveying path, and determine multiple sub-coal conveying paths based on the first path combination and the second path combination.

4. The collaborative diagnostic method for the operating status of coal conveying system equipment according to claim 1, characterized in that, The method of determining the coal pile to be transported based on the tracking of coal transport tasks of the coal conveying system equipment, and determining the coordinated transport events of multiple sub-coal conveying paths based on the sorting events of the coal pile to be transported, the distribution locations of multiple sub-coal conveying paths, and the current state of the coal conveying system equipment, includes: The coal conveying task of the coal conveying system equipment is traced, and the coal conveying position of the coal conveying system equipment is marked. Based on the detection of the coal conveying position of the coal conveying system equipment, the coal pile to be conveyed is determined, and the stacking shape of the coal pile to be conveyed is marked. Collect past accumulation events of the coal pile to be transported, determine multiple coal accumulation sub-events based on the detection of past accumulation events of the coal pile to be transported, determine the sorting events of the coal pile to be transported based on multiple coal accumulation sub-events, multiple coal types and the weight of the coal pile to be transported, so as to output sorting data of various types of coal.

5. The collaborative diagnostic method for the operating status of coal conveying system equipment according to claim 4, characterized in that, The method of determining the coal pile to be transported based on the tracking of coal transport tasks of the coal conveying system equipment, and determining the coordinated transport events of multiple sub-coal conveying paths based on the sorting events of the coal pile to be transported, the distribution locations of multiple sub-coal conveying paths, and the current state of the coal conveying system equipment, further includes: The first coordination coefficient is determined based on the sorting data of various types of coal and the distribution of multiple sub-coal conveying paths. The second coordination coefficient is determined based on the sorting data of various types of coal and the current status of the coal conveying system equipment. The coordinated transportation events of multiple sub-coal conveying paths are determined based on the first coordination coefficient, the second coordination coefficient, and the coordinated transportation mapping relationship.

6. The collaborative diagnostic method for the operating status of coal conveying system equipment according to claim 1, characterized in that, In the coordinated transportation event of multiple sub-coal conveying paths, determining the overload of the coal conveying system equipment based on the coal conveying progress corresponding to the multiple sub-coal conveying paths and the remaining amount of coal to be conveyed includes: Real-time monitoring of collaborative transportation events across multiple sub-coal conveying paths; transportation monitoring of each sub-coal conveying path; collection of coal conveying progress corresponding to each sub-coal conveying path; and marking the current coal conveying volume in the coal conveying process corresponding to each sub-coal conveying path.

7. The collaborative diagnostic method for the operating status of coal conveying system equipment according to claim 6, characterized in that, In the coordinated transportation event of multiple sub-coal conveying paths, determining the overload of the coal conveying system equipment based on the coal conveying progress corresponding to the multiple sub-coal conveying paths and the remaining amount of coal to be conveyed also includes: The current coal conveying volume is presented for multiple sub-coal conveying paths. The remaining coal conveying volume of the sub-coal conveying path is determined based on the theoretical load of the sub-coal conveying path and the corresponding current coal conveying volume. The coal conveying capacity coefficient of the coal conveying system equipment is determined based on the remaining coal conveying volume of each sub-coal conveying path, the model of the coal conveying system equipment, and the service life of the equipment. Real-time monitoring of the coal pile to be transported, and statistics on the remaining amount of the coal pile to be transported. Based on the remaining amount of the coal pile to be transported, the remaining amount of coal transported in each sub-coal transport path, and the coal transport capacity coefficient of the coal transport system equipment, the overload of the coal transport system equipment is determined.

8. The collaborative diagnostic method for the operating status of coal conveying system equipment according to claim 1, characterized in that, The method involves determining an external coordinating path based on the overload of the coal conveying system equipment, the conveying coordination equipment of the coal system equipment, and multiple sub-coal conveying paths. The operating status of the coal conveying system equipment is then determined based on the coordination status corresponding to this external coordinating path and the coordinated diagnosis of the coal conveying process of multiple sub-coal conveying paths. This includes: The overload status of the coal system equipment is determined based on the excessive load of the coal system equipment, and the overload control scheme of the coal system equipment is triggered. In the overload control scheme, the location of the coal system equipment is collected, and the conveying coordination equipment of the coal system equipment is determined based on the surrounding detection of the location of the coal system equipment. The corresponding coal allocation coefficient is determined based on the overload of the coal conveying system equipment and the theoretical coal conveying capacity of the coal conveying coordination equipment. The coordination path combination is determined based on the theoretical coal conveying capacity of the coordination equipment and multiple sub-coal conveying paths. The external coordination path is determined based on the coal allocation coefficient, the location of the coordination equipment, and the coordination path combination.

9. The collaborative diagnostic method for the operating status of coal conveying system equipment according to claim 8, characterized in that, The method of determining an external coordinating path based on the overload of the coal conveying system equipment, the conveying coordination equipment of the coal system equipment, and multiple sub-coal conveying paths, and determining the operating status of the coal conveying system equipment based on the coordination status corresponding to the external coordinating path and the coordination diagnosis of the coal conveying process of multiple sub-coal conveying paths, further includes: Real-time monitoring of external collaborative paths and marking of the collaborative status corresponding to the external collaborative path; definition of a first state coefficient based on the collaborative status and the external collaborative path; determination of a second state coefficient based on the collaborative status and the coal conveying process of multiple sub-coal conveying paths; and determination of the operating status of the coal conveying system equipment based on the mapping relationship between the first state coefficient, the second state coefficient and the operating status.

10. A collaborative diagnostic system for the operating status of coal conveying system equipment, characterized in that, The coal conveying system equipment operation status collaborative diagnosis system is applied to the coal conveying system equipment operation status collaborative diagnosis method as described in any one of claims 1-9, and the coal conveying system equipment operation status collaborative diagnosis system includes: The coal conveying node module is used to mark multiple coal conveying nodes on the coal conveying path of the coal conveying system equipment, with each coal conveying node matching a corresponding set of working data. The sub-coal conveying path module is used to determine the working status of coal conveying nodes based on each working data set and the location of the corresponding coal conveying nodes, and to determine multiple sub-coal conveying paths based on the working status of each coal conveying node, the coal conveying task of the coal conveying system equipment, and the coal conveying path. The collaborative transportation event module is used to determine the coal pile to be transported based on the traceability of the coal transport task of the coal transport system equipment, and to determine the collaborative transportation events of multiple sub-coal transport paths based on the sorting events of the coal pile to be transported, the distribution location of multiple sub-coal transport paths, and the current status of the coal transport system equipment. The overload module is used to determine the overload of the coal conveying system equipment in the context of a coordinated transportation event involving multiple sub-coal conveying paths, based on the coal conveying progress and the remaining amount of coal to be conveyed in the sub-coal conveying paths. The operation status module is used to determine the external collaborative path based on the load excess of the coal conveying system equipment, the conveying coordination equipment of the coal system equipment, and multiple sub-coal conveying paths. Based on the coordination status corresponding to the external collaborative path and the collaborative diagnosis of the coal conveying process of multiple sub-coal conveying paths, the operation status of the coal conveying system equipment is determined.

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