Intelligent coal source dispatching system based on multiple data fusion

Abstract

This invention discloses a coal source intelligent transportation system based on multi-data fusion, belonging to the field of coal source intelligent transportation technology. The core technology of this invention lies in the communication connection between the intelligent transportation center and multiple types of sensors to realize distributed monitoring of the entire transportation process in the coal source area. The intelligent transportation center performs data fusion processing to form targeted transportation control strategies. The slope stability assessment unit is responsible for monitoring the slope safety in the coal source area, identifying risks such as overloading and foundation wear, and providing feedback on control suggestions. The path dynamic optimization unit optimizes the transportation path based on slope detection results and real-time road conditions, balancing transportation efficiency and safety. The loading and unloading efficiency assessment unit comprehensively evaluates the loading and unloading effect based on multi-dimensional data, optimizes loading strategies, and ensures smooth transportation links.

Description

Technical Field

[0001] This invention relates to the field of intelligent coal transportation technology, specifically to an intelligent coal transportation system based on the fusion of multiple data sources. Background Technology

[0002] As a core pillar of my country's energy structure, the efficiency and safety of coal transportation directly affect the stability of industrial production and energy supply. However, the current coal transportation industry generally faces many pain points:

[0003] On the one hand, coal sources are mostly distributed in complex terrains such as mountainous areas and mining areas, with complex slope geological conditions. During the loading, unloading and transportation of coal-carrying tools, safety hazards such as slope displacement and foundation wear are easily caused. Traditional manual monitoring methods are inefficient and have limited coverage, making it difficult to achieve full-process, distributed real-time monitoring. Safety accidents are easily caused by slope instability.

[0004] On the other hand, the planning of transportation routes relies heavily on fixed routes and does not take into account real-time road conditions, the transportation characteristics of coal-carrying vehicles, and slope detection results for dynamic optimization. This often leads to problems such as route congestion, excessive fuel consumption, and low transportation efficiency. Furthermore, the route adjustment lacks scientific data support, making it difficult to balance transportation efficiency and safety.

[0005] Meanwhile, there is a lack of systematic evaluation of loading and unloading efficiency. It relies solely on manual statistics of loading and unloading speed and cannot combine multi-dimensional data such as coal reserves, waiting time of coal loading tools, and changes in loading volume for comprehensive evaluation. This often results in inefficient loading and unloading, insufficient loading, or loading strategies that do not match actual needs, leading to poor coordination of the transportation chain and affecting overall transportation efficiency.

[0006] To address the aforementioned technical shortcomings, a coal source intelligent transportation system based on the fusion of multiple data sources is proposed. This system aims to achieve safer, smarter, and more efficient coal source transportation through data fusion and intelligent decision-making throughout the entire transportation process, thereby resolving the safety hazards and efficiency bottlenecks in traditional transportation models. Summary of the Invention

[0007] The purpose of this invention is to solve the problems mentioned above by proposing a coal source intelligent transportation system based on the fusion of multiple data sources.

[0008] The objective of this invention can be achieved through the following technical solution: a coal source intelligent transportation system based on the fusion of multiple data sources, including an intelligent transportation center, and connected to:

[0009] The slope stability assessment unit assesses the stability of the coal transportation location in the coal source area to infer whether the stability of the current location meets the requirements, and conducts multi-region stability assessment based on the coal transportation trajectory.

[0010] The path dynamic optimization unit performs path dynamic optimization based on the distribution of detection lines in the coal source area.

[0011] The loading and unloading efficiency assessment unit evaluates the loading and unloading efficiency of the coal source area and infers whether the current transportation strategy is appropriate based on the loading and unloading efficiency assessment.

[0012] Furthermore, the slope stability assessment unit uses the following method to assess the stability of the coal-bearing area:

[0013] The location of the coal source is used to determine the coal transportation location, which is then marked as a detection point. At the same time, the coal transportation trajectory is combined with the detection points to conduct stability tests, and the results are marked as a detection line.

[0014] When scheduling coal transportation in the coal-producing area, data is collected and analyzed from the detection points and detection lines to obtain the slope displacement at the location of the detection point when the coal-loading tool completes loading. This displacement is then matched with the current load capacity of the coal-loading tool. Based on the duration of coal transportation, if the slope displacement corresponding to the load capacity of the coal-loading tool does not exceed the set slope displacement threshold at any given time, the corresponding detection point is marked as a safe point. Conversely, if the slope displacement corresponding to the load capacity of the coal-loading tool exceeds the set slope displacement threshold at any given time, the corresponding detection point is marked as a risk point.

[0015] Furthermore, continuous time data of risk points are collected, the corresponding load capacities of risk points at adjacent time points are extracted, and they are marked as relatively high load and relatively low load respectively.

[0016] After the slope deformation corresponding to the relatively high load occurs, the slope deformation of the adjacent relatively low load is recorded. If the real-time slope deformation exceeds the peak value of the slope deformation that matches the relatively low load, the current risk point is set with an overload impact stability label, and the location of the risk point and the corresponding label type are sent to the intelligent dispatch center.

[0017] After the slope deformation occurs under relatively low load, the slope deformation of the adjacent relatively high load is recorded. If the real-time slope deformation exceeds the peak value of the slope deformation that matches the relatively high load, the current risk point is labeled with a stability label for foundation wear, and the location of the risk point and the corresponding label type are sent to the intelligent dispatch center.

[0018] Furthermore, after receiving the overload impact stability tag, the intelligent transportation center manages coal transportation at the detection points in the coal source area based on the location of the risk points and the corresponding tag type, and sets the peak coal transportation value for distributed detection. After receiving the foundation wear impact stability tag, the intelligent transportation center adjusts the coal transportation foundation at the detection points in the multi-coal source area based on the location of the risk points and the corresponding tag type, controls the peak operation value during the adjustment phase, and re-plans and formulates the set coal transportation volume for each detection point after the adjustment is completed.

[0019] Furthermore, after completing the stability test of the detection points, the detection line analysis is performed on the coal source area to obtain the slope deformation at any position of the detection line during the coal transportation stage. Based on the recorded slope deformation deviations of adjacent positions of the detection line, if the slope deformation deviations of adjacent positions show a uniform and continuous constant trend when the detection line is transporting coal, that is, when the slope deformation at the corresponding position exceeds the set red line value, a coal loading tool adjustment signal is generated and sent to the intelligent transportation center; if the slope deformation deviations of adjacent positions do not show a uniform and continuous constant trend when the detection line is transporting coal, that is, when the slope deformation at the corresponding position exceeds the set red line value, a transportation road adjustment signal is generated and sent to the intelligent transportation center.

[0020] Furthermore, after receiving the coal-carrying tool adjustment signal, the intelligent dispatching center manages and controls the coal-carrying tool and lowers the load limit, and monitors the load at each position of the detection line. In order to ensure transportation efficiency, it plans the coal-carrying tool transportation route. After receiving the transportation road adjustment signal, the intelligent dispatching center adjusts the operating road surface and reinforces its stability, and reduces the frequency of use during the reinforcement period.

[0021] Furthermore, the path dynamic optimization unit performs path dynamic optimization based on the detection line distribution as follows:

[0022] During the slope stability assessment phase, route planning adjustments are required when adjusting the detection line in the coal source area. Excluding this type of adjustment, the retained routes are set as fixed routes, and a fixed route network is constructed in the coal source area. The coal-carrying vehicles matched with the fixed routes are extracted, and the transportation characteristics of the coal-carrying vehicles for fixed route matching are identified, specifically transportation fuel consumption and transportation time. When the corresponding transportation characteristics are lower than the set parameter threshold, they are used as the preferred features, i.e., matched with the current fixed route.

[0023] Furthermore, when the coal-carrying vehicle transports coal along a fixed route, it collects the impact data of the fixed route in real time. Based on the real-time road conditions of the fixed route, if the real-time impact data is not within the impact data range of the route matching, it is inferred that the impact data interferes with transportation, and the transportation characteristics of the impact data interference are extracted. When the corresponding transportation characteristics are the primary requirement characteristics for fixed route matching, a route planning signal is generated and sent to the intelligent dispatching center along with the corresponding transportation characteristics. After receiving the signal, the intelligent dispatching center schedules the fixed route of the current coal-carrying vehicle, and the scheduling standard is based on the received transportation characteristics as a hard requirement. If the real-time impact data is within the impact data range of the route matching, it is inferred that the impact data does not interfere with transportation, and the transportation characteristics of the impact data without interference are extracted, i.e., a route constant signal is generated and sent to the intelligent dispatching center along with the corresponding transportation characteristics. After receiving the signal, the intelligent dispatching center sets the fixed route corresponding to the transportation characteristics as the scheduling route and uses it for fixed route scheduling in the coal source area.

[0024] Furthermore, the method for evaluating the loading and unloading efficiency of the coal source area in the loading and unloading efficiency evaluation unit is as follows: obtain the real-time inventory of coal in the coal source area and the corresponding loading and unloading speed, and record the loading time of each coal loading tool.

[0025] The data collection process includes: monitoring the real-time fluctuation trend of coal availability in the coal source area during the loading and unloading speed fluctuation phase; and simultaneously acquiring the waiting delay time of any coal-loading tool and the real-time rate of decrease in the loading capacity of the coal-loading tool within the same current phase.

[0026] When the real-time inventory of coal in the coal source area shows a downward trend, if the waiting delay time of any coal loading tool exceeds the delay time threshold, or the real-time loading rate of the coal loading tool decreases more than the decrease rate threshold, an efficiency-triggered loading signal will be generated and sent to the intelligent dispatching center.

[0027] When the real-time inventory of coal in the coal source area shows a downward trend, if the waiting delay time of any coal loading tool does not exceed the delay time threshold and the real-time loading rate of the coal loading tool does not exceed the rate of decrease threshold, then the efficiency does not trigger a loading signal and is sent to the intelligent dispatching center.

[0028] When the real-time inventory of coal in the coal source area does not show a downward trend, if the waiting delay time of any coal loading tool exceeds the delay time threshold, or the real-time loading rate of the coal loading tool decreases at a rate exceeding the decrease rate threshold, a loading strategy mismatch signal will be generated and sent to the intelligent dispatching center.

[0029] When the real-time inventory of coal in the region does not show a downward trend, if the waiting delay time of any coal loading tool does not exceed the delay time threshold and the real-time loading rate of the coal loading tool does not exceed the rate of decrease threshold, a loading strategy adaptation signal is generated and sent to the intelligent dispatching center.

[0030] Furthermore, upon receiving a loading signal triggered by efficiency, the intelligent dispatching center adjusts the loading efficiency and limits or reduces the loading capacity when the loading efficiency fails to meet the set supply demand. Upon receiving a loading signal triggered by insufficient efficiency, the intelligent dispatching center monitors the loading strategy in real time, keeping track of the coal reserves in the coal source area to address the issue of idle loading tools due to decreased loading efficiency. Upon receiving a loading strategy mismatch signal, the intelligent dispatching center monitors the loading strategy in the coal source area, reducing the deviation of the loading capacity per load by the loading tools, ensuring a constant loading capacity each time, and reducing the waiting time of the loading tools and the loading waiting time at the loading location.

[0031] Compared with the prior art, the beneficial effects of the present invention are:

[0032] 1. The slope stability assessment unit achieves full-process, distributed monitoring of slope stability during coal transportation through collaborative monitoring of detection points and detection lines, effectively solving the blind spot problem of traditional monitoring. Specifically, by accurately matching the correspondence between load and slope displacement, it accurately identifies slope instability risks caused by overloading and foundation wear, and labels them accordingly, feeding them back to the intelligent transportation center. This makes control measures more targeted, avoiding over-control or under-control. Furthermore, by analyzing the deviation trend of slope deformation at adjacent locations of the detection line, it distinguishes the impact of coal loading tools and foundation on slope stability, providing the intelligent transportation center with precise control basis (such as load limits and road surface reinforcement). This effectively prevents safety accidents caused by slope instability, ensuring the safety of personnel and equipment during coal transportation. At the same time, it also provides precise control of risk points, avoiding transportation interruptions due to slope safety issues and ensuring the continuity of the transportation process.

[0033] 2. The dynamic route optimization unit ensures route safety and stability by constructing a fixed route network that excludes temporary route adjustments, preventing routes with potential safety hazards from being included in the transportation plan. It matches the transportation characteristics of coal-carrying vehicles with fixed routes, selecting routes corresponding to optimal characteristics to improve the adaptability of coal-carrying vehicles and routes, reduce transportation fuel consumption, shorten transportation time, and enhance transportation economy and efficiency. Furthermore, it collects real-time road condition impact data to determine if it exceeds normal ranges, promptly identifying road condition interference with transportation and generating targeted route planning signals or route constant signals. This provides a scientific basis for route scheduling in the intelligent transportation center, and uses transportation characteristics as a rigid standard for route scheduling to ensure the accuracy of route adjustments. Under the premise of ensuring transportation safety, it maximizes transportation efficiency and achieves dynamic optimization and precise control of transportation routes.

[0034] 3. The loading and unloading efficiency assessment unit comprehensively evaluates loading and unloading efficiency through multi-dimensional data (fluctuation trend of coal source inventory, waiting delay time, and rate of decrease in loading volume) to solve the problem of inaccuracy in traditional single-dimensional assessments and fully reflect the impact of loading and unloading efficiency on transportation. Specifically, by distinguishing the loading and unloading efficiency status (abnormal / normal, affecting / not affecting loading) under different fluctuation trends of coal source inventory, different control signals are generated for specific purposes, enabling the intelligent transportation center to take precise control measures (such as adjusting loading efficiency, optimizing loading strategies, and limiting loading volume) to avoid blind control measures. By monitoring loading and unloading efficiency and loading status in real time, problems such as inefficient loading and unloading and incompatible loading strategies can be detected in time, and adjustments and optimizations can be made in advance to avoid idle coal loading tools and inefficient transportation, ensuring smooth connection of the transportation chain. Furthermore, by optimizing loading strategies, loading volume deviation is reduced, waiting time of coal loading tools is reduced, and loading regularity is improved, providing accurate basis for the intelligent transportation center to adjust transportation strategies and further improving overall transportation efficiency.

[0035] In summary, this system primarily addresses the core issues in traditional coal transportation, such as significant safety hazards, low efficiency, low level of intelligence, and isolated data, providing an efficient, safe, and intelligent solution for the coal transportation industry. Attached Figure Description

[0036] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0037] Figure 1 This is a system principle block diagram of the present invention;

[0038] Figure 2 This is a flowchart of the slope stability assessment unit method in this invention. Detailed Implementation

[0039] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0040] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0041] Please see Figures 1-2 As shown, a coal source intelligent transportation system based on the fusion of multiple data sources includes an intelligent transportation center. The intelligent transportation center is connected to multiple types of sensors to distribute the coal source area and monitor the entire transportation process.

[0042] The intelligent dispatching center is connected to a slope stability assessment unit, a path dynamic optimization unit, and a loading and unloading efficiency assessment unit. Multiple units collect sensor data to detect operating scenarios and make intelligent dispatching decisions based on the results of the operating scenario detection.

[0043] The intelligent dispatch center generates slope stability assessment signals and sends them to the slope stability assessment unit.

[0044] After receiving the slope stability assessment signal, the slope stability assessment unit uses sensors to detect the coal transportation location in the coal source area to infer whether the stability of the current location meets the requirements. At the same time, it performs multi-region stability assessments based on the coal transportation trajectory to ensure the slope stability during the coal source transportation phase and guarantee operational safety.

[0045] The location of the coal source is used to determine the coal transportation location, which is then marked as a detection point. At the same time, the coal transportation trajectory is combined with the detection points to conduct stability tests, and the results are marked as a detection line.

[0046] When scheduling coal transportation in the coal-producing area, data is collected and analyzed from the detection points and detection lines to obtain the slope displacement at the location of the detection point when the coal-loading tool completes loading. This displacement is then matched with the current load capacity of the coal-loading tool. Based on the duration of coal transportation, if the slope displacement corresponding to the load capacity of the coal-loading tool does not exceed the set slope displacement threshold at any given time, the corresponding detection point is marked as a safe point. Conversely, if the slope displacement corresponding to the load capacity of the coal-loading tool exceeds the set slope displacement threshold at any given time, the corresponding detection point is marked as a risk point.

[0047] Collect continuous time data of risk points, extract the corresponding load capacities of risk points at adjacent time points, and mark them as relatively high load and relatively low load respectively;

[0048] After the slope deformation corresponding to the relatively high load occurs, the slope deformation of the adjacent relatively low load is recorded. If the real-time slope deformation exceeds the peak value of the slope deformation that matches the relatively low load, the current risk point is set with an overload impact stability label, and the location of the risk point and the corresponding label type are sent to the intelligent transportation center. After receiving the information, the intelligent transportation center controls the coal transportation of the detection points in the coal source area according to the location of the risk point and the corresponding label type. Distributed detection sets the peak value of coal transportation to avoid overload causing slope instability and affecting the base surface at the current location.

[0049] After the slope deformation occurs under relatively low load, the slope deformation of the adjacent relatively high load is recorded. If the real-time slope deformation exceeds the peak value of the slope deformation that matches the relatively high load, the current risk point is labeled with a stability tag for foundation wear, and the location of the risk point and the corresponding tag type are sent to the intelligent transportation center. After receiving the data, the intelligent transportation center adjusts the coal transportation foundation of the detection points in the coal source area according to the location of the risk point and the corresponding tag type. During the adjustment phase, peak operation control is performed, and the set coal transportation volume of each detection point is re-planned and formulated after the adjustment is completed.

[0050] After completing the stability test at the detection point, the detection line is analyzed in the coal source area to obtain the slope deformation at any position of the detection line during the coal transportation stage. Based on the recorded slope deformation deviations at adjacent positions of the detection line, if the slope deformation deviations at adjacent positions show a uniform and continuous constant trend during coal transportation, that is, when the slope deformation at the corresponding position exceeds the set red line value, it is inferred that the current coal loading tool is affecting the stability of the detection line. A coal loading tool adjustment signal is generated and sent to the intelligent transportation center. After receiving the signal, the intelligent transportation center manages the coal loading tool and lowers the load limit, and monitors the load at each position of the detection line. To ensure transportation efficiency, the transportation route scheduling plan for the coal loading tool is performed. It should be noted that a continuous and constant trend means that the fluctuation range of the slope deformation deviation at each adjacent position does not exceed the set range.

[0051] If the slope deformation deviation of adjacent locations does not show a uniform and continuous constant trend when the detection line is transporting coal, that is, when the slope deformation exceeds the set red line value at the corresponding location, it is inferred that the foundation at the corresponding location of the current detection line affects the stability of the detection line, and a transportation road adjustment signal is generated and sent to the intelligent transportation center. After receiving the signal, the intelligent transportation center adjusts the operating road and reinforces its stability, and reduces the frequency of use during the reinforcement period.

[0052] The thresholds involved in this unit are all based on the geological conditions of the coal-producing area, the parameters of coal-loading tools, and industry standards. They were obtained through a combination of experimental testing and data statistics, as detailed below:

[0053] (1) Slope displacement threshold: Based on the geological survey report of the slope in the coal source area (such as soil type, slope gradient, foundation bearing capacity and other parameters), select coal loading tools with different load capacities to conduct multiple loading experiments at typical test points and record the maximum safe displacement of the slope under different load capacities; at the same time, refer to the relevant requirements in the "Safety Specification for Slope Engineering in Coal Mining Areas" and make corrections based on the experimental data to finally determine the slope displacement threshold, so as to ensure that the threshold can meet the safety requirements without reducing the transportation efficiency due to being too strict.

[0054] (2) Peak value of slope deformation (corresponding to relative high load and relative low load): Based on the load range of common coal-carrying tools in coal source areas, divide the relatively high load and relatively low load ranges, conduct multiple slope deformation tests in each range, and record the peak value data of slope deformation under different loads; through statistical analysis, after removing abnormal data, take the average value of multiple test peak values ​​in the same load range as the peak value of slope deformation for the corresponding load, to ensure that the peak value data fits the actual operating scenario.

[0055] (3) Range of slope deformation deviation between adjacent locations of the test line: Select test lines with different geological conditions in the coal source area, conduct coal transportation tests throughout the time period, collect slope deformation data at adjacent locations, and calculate the deformation deviation between adjacent locations; statistically analyze the deviation fluctuation range in a large amount of test data, and in combination with slope safety requirements, determine the specific value of the deviation fluctuation that does not exceed the set range (i.e., a continuous constant trend). This range must ensure that the slope instability caused by the influence of coal loading tools and the foundation can be effectively distinguished.

[0056] (4) Setting the red line value for slope deformation: Refer to the critical deformation standard for slope instability in the "Safety Specification for Slope Engineering in Coal Mining Areas" and make targeted adjustments based on the actual geological conditions of the coal source area (such as landslide-prone areas and areas with weak foundations). Appropriately reduce the red line value for areas with poor geological conditions and appropriately increase the red line value for areas with better geological conditions to ensure that the red line value can accurately warn of the risk of slope instability.

[0057] After the slope stability assessment is completed, the transportation in the coal source area is safe and stable. The intelligent dispatching center generates a path dynamic optimization signal and sends it to the path dynamic optimization unit.

[0058] After receiving the path dynamic optimization signal, the path dynamic optimization unit performs path dynamic optimization based on the distribution of detection lines in the coal source area;

[0059] During the slope stability assessment phase, route planning adjustments are required when adjusting the monitoring lines in the coal source area. Excluding this type of adjustment, the retained routes are set as fixed routes, and a fixed route network is constructed in the coal source area.

[0060] Extract the coal-carrying vehicles matched to the fixed route and identify the transportation characteristics of the coal-carrying vehicles for fixed route matching, specifically features such as transportation fuel consumption and transportation time. When the corresponding transportation characteristics are lower than the set parameter threshold, they are used as the preferred features, that is, matched with the current fixed route.

[0061] When a coal-carrying vehicle transports coal along a fixed route, it collects real-time impact data on the fixed route, including the range of decrease in transport speed, the range of increase in start-stop frequency (reflecting the impact of traffic jams), and the increase in rainfall (reflecting the impact of transport fuel consumption). Based on the real-time road conditions of the fixed route, if the real-time impact data is not within the range of impact data when the route is matched, it is inferred that the impact data interferes with the transport, and the transport characteristics that interfere with the impact data are extracted. When the corresponding transport characteristics are the primary requirement characteristics for fixed route matching, a route planning signal is generated and sent to the intelligent dispatching center along with the corresponding transport characteristics. After receiving the signal, the intelligent dispatching center schedules the fixed route of the current coal-carrying vehicle, and the scheduling standard is based on the received transport characteristics as a hard requirement.

[0062] If the real-time impact data is within the impact data range during route matching, it is inferred that the impact data does not interfere with transportation, and the transportation characteristics of the impact data that do not interfere with transportation are extracted. That is, a route constant signal is generated and sent to the intelligent dispatching center along with the corresponding transportation characteristics. After receiving the signal, the intelligent dispatching center sets the fixed route corresponding to the transportation characteristics as the dispatching route and uses it for fixed route dispatching in the coal source area.

[0063] The thresholds involved in this unit are all based on coal loading tool parameters, actual route operation data, and industry efficiency standards, and were obtained through data statistics and actual testing, as detailed below:

[0064] (1) Thresholds of transportation characteristic parameters (transportation fuel consumption, transportation time): Select the types of coal-carrying tools commonly used in coal-source areas, conduct multiple transportation tests on different fixed routes, and record the corresponding transportation fuel consumption and transportation time data for each route; combine the transportation efficiency standards of the coal transportation industry, statistically analyze the test data, determine the reasonable range of transportation fuel consumption and transportation time, and use the lower limit of the range as the parameter threshold (i.e., below this threshold is the optimal feature), to ensure that the optimal feature can reflect the good compatibility between the coal-carrying tool and the route, and take into account both efficiency and economy.

[0065] (2) Range of impact data during route matching (span of decrease in transport speed, span of increase in start-stop frequency, increase in rainfall): Under the condition that the coal-carrying vehicle is well matched with the fixed route, transport tests are conducted under different road conditions, and impact data such as the span of decrease in transport speed, the span of increase in start-stop frequency, and the increase in rainfall are collected; the normal fluctuation range of these data in multiple tests is statistically analyzed, and this range is the range of impact data during route matching. Its origin is mainly based on the transport data statistics under normal road conditions, to ensure that it is possible to accurately determine whether the real-time road conditions interfere with transport.

[0066] The intelligent dispatch center generates a loading and unloading efficiency assessment signal and sends it to the loading and unloading efficiency assessment unit.

[0067] After receiving the loading and unloading efficiency assessment signal, the loading and unloading efficiency assessment unit assesses the loading and unloading efficiency of the coal source area. Through the loading and unloading efficiency assessment, it infers whether the current transportation strategy is appropriate, and prevents inefficient transportation and insufficient loading.

[0068] Obtain the real-time coal inventory in the coal source area and the corresponding loading and unloading speed, and record the loading time of each coal loading tool;

[0069] The data collection process includes: monitoring the real-time fluctuation trend of coal availability in the coal source area during the loading and unloading speed fluctuation phase; and simultaneously acquiring the waiting delay time of any coal-loading tool and the real-time rate of decrease in the loading capacity of the coal-loading tool within the same current phase.

[0070] When the real-time inventory of coal in the coal source area shows a downward trend, if the waiting delay time of any coal loading tool exceeds the delay time threshold, or if the real-time loading rate of the coal loading tool decreases at a rate exceeding the decrease rate threshold, it is inferred that the loading and unloading efficiency is abnormal and affects the loading of the coal loading tool. An efficiency-triggered loading signal is generated and sent to the intelligent dispatch center. After receiving the efficiency-triggered loading signal, the intelligent dispatch center adjusts the loading efficiency. If the loading efficiency does not meet the set supply demand, it limits the loading amount of the coal loading tool and reduces the loading capacity of the loading tool to ensure the operation of the fixed route network. Based on the progress of the loading efficiency adjustment, the fixed route network is gradually restored to the set operation strategy.

[0071] When the real-time inventory of coal in the coal source area shows a downward trend, if the waiting delay time of any coal loading tool does not exceed the delay time threshold and the real-time loading rate of the coal loading tool does not exceed the rate of decrease threshold, it is inferred that the loading and unloading efficiency is abnormal and does not affect the loading of the coal loading tool. An efficiency failure to trigger loading signal is generated and sent to the intelligent dispatching center. After receiving the efficiency failure to trigger loading signal, the intelligent dispatching center conducts real-time loading strategy monitoring, monitors the inventory of coal in the coal source area in real time, and responds to the decrease in loading efficiency that leads to idle loading tools and inefficient dispatching.

[0072] When the real-time inventory of coal in the coal source area does not show a downward trend, if the waiting delay time of any coal loading tool exceeds the delay time threshold, or the real-time loading rate of the coal loading tool decreases more than the decrease rate threshold, it is inferred that the loading and unloading efficiency is normal and affects the loading of the coal loading tool. A loading strategy mismatch signal is generated and sent to the intelligent dispatching center. After receiving the loading strategy mismatch signal, the intelligent dispatching center monitors the loading strategy in the coal source area, reduces the deviation of the single loading amount of the loading tool, ensures that the loading amount is constant each time, and reduces the waiting time of the loading tool and the loading waiting time of the loading position, so as to improve the loading regularity and facilitate accurate adjustment of the dispatching strategy.

[0073] When the real-time inventory of coal in the region does not show a downward trend, if the waiting delay time of any coal loading tool does not exceed the delay time threshold and the real-time loading rate of the coal loading tool does not exceed the rate of decrease threshold, it is inferred that the loading and unloading efficiency is normal and does not affect the loading of the coal loading tool. A loading strategy adaptation signal is generated and sent to the intelligent dispatching center.

[0074] The thresholds involved in this unit are all based on coal source transportation demand, loading and unloading equipment parameters, and industry efficiency standards, and were obtained through actual testing and data statistics, as follows:

[0075] (1) Delay time threshold: Combined with the normal turnover efficiency of coal source transportation, the reasonable waiting time of coal loading tools in different loading and unloading scenarios is calculated. The standard waiting time for coal loading and unloading in the industry is referenced, and the supply demand of coal source inventory is combined to determine the delay time threshold. For scenarios where the coal source inventory decreases rapidly and the supply is tight, the threshold is appropriately reduced to ensure that coal loading tools can be loaded in time and avoid affecting the transportation progress.

[0076] (2) Loading rate descent threshold: Select commonly used loading and unloading equipment in the coal source area, conduct loading and unloading tests with different loading capacities, and record the normal range of loading rate descent. Combine the rated loading capacity of the coal loading tool, the rated efficiency of the loading and unloading equipment, and the rhythm requirements of coal source transportation to determine the loading rate descent threshold. Ensure that the threshold can reflect the normal level of loading and unloading efficiency and avoid affecting loading quality and transportation efficiency due to loading and unloading speed being too fast or too slow.

[0077] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A coal source intelligent transportation system based on the fusion of multiple data sources, characterized in that, Including a smart dispatch center, and connected to: The slope stability assessment unit assesses the stability of the coal transportation location in the coal source area to infer whether the stability of the current location meets the requirements, and conducts multi-region stability assessment based on the coal transportation trajectory. The path dynamic optimization unit performs path dynamic optimization based on the distribution of detection lines in the coal source area. The loading and unloading efficiency assessment unit evaluates the loading and unloading efficiency of the coal source area and infers whether the current transportation strategy is appropriate based on the loading and unloading efficiency assessment.

2. The intelligent coal transportation system based on multi-data fusion according to claim 1, characterized in that, The method used by the slope stability assessment unit to assess the stability of coal-bearing areas is as follows: The location of the coal source is used to determine the coal transportation location, which is then marked as a detection point. At the same time, the coal transportation trajectory is combined with the detection points to conduct stability tests, and the results are marked as a detection line. When scheduling coal transportation in the coal-producing area, data is collected and analyzed from the detection points and detection lines to obtain the slope displacement at the location of the detection point when the coal-loading tool completes loading. This displacement is then matched with the current load capacity of the coal-loading tool. Based on the duration of coal transportation, if the slope displacement corresponding to the load capacity of the coal-loading tool does not exceed the set slope displacement threshold at any given time, the corresponding detection point is marked as a safe point. Conversely, if the slope displacement corresponding to the load capacity of the coal-loading tool exceeds the set slope displacement threshold at any given time, the corresponding detection point is marked as a risk point.

3. The intelligent coal transportation system based on multi-data fusion according to claim 2, characterized in that, Collect continuous time data of risk points, extract the corresponding load capacities of risk points at adjacent time points, and mark them as relatively high load and relatively low load respectively; After the slope deformation corresponding to the relatively high load occurs, the slope deformation of the adjacent relatively low load is recorded. If the real-time slope deformation exceeds the peak value of the slope deformation that matches the relatively low load, the current risk point is set with an overload impact stability label, and the location of the risk point and the corresponding label type are sent to the intelligent dispatch center. After the slope deformation occurs under relatively low load, the slope deformation of the adjacent relatively high load is recorded. If the real-time slope deformation exceeds the peak value of the slope deformation that matches the relatively high load, the current risk point is labeled with a stability label for foundation wear, and the location of the risk point and the corresponding label type are sent to the intelligent dispatch center.

4. The intelligent coal transportation system based on multi-data fusion according to claim 3, characterized in that, After receiving overload impact stability tags, the intelligent transportation center manages coal transportation at monitoring points in the coal source area based on the location of the risk points and the corresponding tag type, and sets peak coal transportation values ​​for distributed monitoring. After receiving foundation wear impact stability tags, the intelligent transportation center adjusts the coal transportation foundation at monitoring points in the coal source area based on the location of the risk points and the corresponding tag type, controls peak operation during the adjustment phase, and re-plans and formulates the set coal transportation volume for each monitoring point after the adjustment is completed.

5. A coal source intelligent transportation system based on multi-data fusion according to claim 4, characterized in that, After completing the stability test of the detection points, the detection line analysis is performed on the coal source area to obtain the slope deformation at any position of the detection line during the coal transportation stage. Based on the recorded slope deformation deviations of adjacent positions of the detection line, if the slope deformation deviations of adjacent positions show a uniform and continuous constant trend when the detection line is transporting coal, that is, when the slope deformation at the corresponding position exceeds the set red line value, a coal loading tool adjustment signal is generated and sent to the intelligent transportation center; if the slope deformation deviations of adjacent positions do not show a uniform and continuous constant trend when the detection line is transporting coal, that is, when the slope deformation at the corresponding position exceeds the set red line value, a transportation road adjustment signal is generated and sent to the intelligent transportation center.

6. A coal source intelligent transportation system based on multi-data fusion according to claim 5, characterized in that, After receiving the coal-carrying tool adjustment signal, the intelligent dispatching center manages and controls the coal-carrying tool and lowers the load limit. It also monitors the load at each position on the detection line and plans the coal-carrying tool transportation route to ensure transportation efficiency. After receiving the transportation road adjustment signal, the intelligent dispatching center adjusts the operating road surface and reinforces its stability, reducing the frequency of use during the reinforcement period.

7. A coal source intelligent transportation system based on multi-data fusion according to claim 1, characterized in that, The path dynamic optimization unit performs path dynamic optimization based on the detection line distribution as follows: During the slope stability assessment phase, route planning adjustments are required when adjusting the detection line in the coal source area. Excluding this type of adjustment, the retained routes are set as fixed routes, and a fixed route network is constructed in the coal source area. The coal-carrying vehicles matched with the fixed routes are extracted, and the transportation characteristics of the coal-carrying vehicles for fixed route matching are identified, specifically transportation fuel consumption and transportation time. When the corresponding transportation characteristics are lower than the set parameter threshold, they are used as the preferred features, i.e., matched with the current fixed route.

8. A coal source intelligent transportation system based on multi-data fusion according to claim 7, characterized in that, When coal-carrying vehicles transport coal along fixed routes, they collect real-time impact data on these routes. If the real-time impact data is outside the range of impact data required for route matching, it is inferred that the impact data interferes with transportation. The transportation characteristics that cause this interference are then extracted. If the corresponding transportation characteristic is a primary requirement for fixed route matching, a route planning signal is generated and sent to the intelligent dispatch center along with the corresponding transportation characteristic. Upon receiving this signal, the intelligent dispatch center schedules the current fixed route for the coal-carrying vehicle, using the received transportation characteristics as a rigid requirement. If the real-time impact data is within the range of impact data required for route matching, it is inferred that the impact data does not interfere with transportation. The transportation characteristics that do not interfere with this data are then extracted, generating a route constancy signal and sending it to the intelligent dispatch center along with the corresponding transportation characteristic. Upon receiving this signal, the intelligent dispatch center sets the fixed route corresponding to the transportation characteristic as the scheduling route and uses it for fixed route scheduling in the coal source area.

9. A coal source intelligent transportation system based on multi-data fusion according to claim 1, characterized in that, The method for evaluating the loading and unloading efficiency of the coal source area in the loading and unloading efficiency evaluation unit is as follows: obtain the real-time inventory of coal in the coal source area and the corresponding loading and unloading speed, and record the loading time of each coal loading tool. The data collection process includes: monitoring the real-time fluctuation trend of coal availability in the coal source area during the loading and unloading speed fluctuation phase; and simultaneously acquiring the waiting delay time of any coal-loading tool and the real-time rate of decrease in the loading capacity of the coal-loading tool within the same current phase. When the real-time inventory of coal in the coal source area shows a downward trend, if the waiting delay time of any coal loading tool exceeds the delay time threshold, or the real-time loading rate of the coal loading tool decreases more than the decrease rate threshold, an efficiency-triggered loading signal will be generated and sent to the intelligent dispatching center. When the real-time inventory of coal in the coal source area shows a downward trend, if the waiting delay time of any coal loading tool does not exceed the delay time threshold and the real-time loading rate of the coal loading tool does not exceed the rate of decrease threshold, then the efficiency does not trigger a loading signal and is sent to the intelligent dispatching center. When the real-time inventory of coal in the coal source area does not show a downward trend, if the waiting delay time of any coal loading tool exceeds the delay time threshold, or the real-time loading rate of the coal loading tool decreases at a rate exceeding the decrease rate threshold, a loading strategy mismatch signal will be generated and sent to the intelligent dispatching center. When the real-time inventory of coal in the region does not show a downward trend, if the waiting delay time of any coal loading tool does not exceed the delay time threshold and the real-time loading rate of the coal loading tool does not exceed the rate of decrease threshold, a loading strategy adaptation signal is generated and sent to the intelligent dispatching center.

10. A coal source intelligent transportation system based on multi-data fusion according to claim 9, characterized in that, Upon receiving a loading signal triggered by efficiency, the intelligent dispatching center adjusts the loading efficiency and limits or reduces the loading capacity when the loading efficiency fails to meet the set supply demand. Upon receiving a loading signal triggered by inefficiency, the intelligent dispatching center monitors the loading strategy in real time, keeping track of the coal reserves in the coal source area to address the issue of idle loading tools due to decreased loading efficiency. Upon receiving a loading strategy mismatch signal, the intelligent dispatching center monitors the loading strategy in the coal source area to reduce the deviation of the loading capacity per load, ensure a constant loading capacity each time, and reduce the waiting time of the loading tools and the loading waiting time at the loading location.

Images