Intelligent loading system and method based on big data

Abstract

This application discloses an intelligent loading system and method based on big data, relating to the technical field of intelligent loading. It includes: a vehicle confirmation module for automatically reading vehicle information of a coal train, confirming whether the coal train is the correct vehicle, and outputting a vehicle correctness signal if it is; a vehicle movement module for controlling train movement and real-time monitoring and outputting the coal train's position data; a coal loading module for loading coal into the coal train based on the position data and recording the output weight data; a coal leveling and compaction module for collecting meteorological data, analyzing it to obtain the coal leveling height, and leveling the coal train according to the coal leveling height; the coal leveling and compaction module includes a coal leveling height component, a coal leveling controller, and a coal leveler; the coal leveling height component analyzes the weight data and outputs a coal leveling height signal; the coal leveling controller controls the operation of the coal leveler based on the coal leveling height signal. This application improves the environmental friendliness of intelligent loading based on big data.

Description

Technical Field

[0001] This application relates to the technical field of intelligent vehicle loading, and in particular to an intelligent vehicle loading system and method based on big data. Background Technology

[0002] In today's coal transportation sector, automated coal loading technology is gradually becoming a key means to improve transportation efficiency, reduce labor intensity, and minimize environmental pollution. Compared to traditional manual loading, automated loading technology significantly shortens loading time and improves the overall efficiency of railway transportation. It also reduces manual intervention, lowers the labor intensity of workers, and improves the working environment. Current automated coal loading technologies typically add dust suppressants to the coal to reduce dust generated during transportation and unloading, thereby reducing environmental pollution and protecting the health of surrounding populations. However, the application of dust suppressants not only increases the cost of coal loading, but some dust suppressants can also alter the moisture content or surface properties of the coal, affecting its combustion efficiency or subsequent processing performance. Furthermore, some dust suppressants have poor biodegradability in the environment, and long-term, large-scale use can cause pollution to soil and water bodies. Therefore, using dust suppressants to reduce dust during transportation not only increases costs and affects coal quality but is also detrimental to environmental protection, necessitating further improvements. Summary of the Invention

[0003] The purpose of this invention is to provide an intelligent loading system and method based on big data to solve the problems mentioned in the background art.

[0004] Firstly, the intelligent loading system based on big data provided in this application adopts the following technical solution:

[0005] The vehicle confirmation module is used to automatically read the vehicle information of coal trains, confirm whether the coal train is the correct vehicle based on the vehicle information, and output the vehicle correct signal if it is the correct vehicle.

[0006] The vehicle movement module is signal-connected to the vehicle confirmation module, and is used to receive the correct vehicle signal, control the train movement, and output position data after real-time detection of the coal train's position.

[0007] The coal loading module is signal-connected to the vehicle movement module, and is used to receive the position data, load coal into the coal train according to the position data, record the weight of the loaded coal, and output the weight data.

[0008] The coal leveling and compaction module is signal-connected to the coal loading module, used to receive the weight data, collect meteorological data, analyze the weight data and meteorological data to obtain the coal leveling height, and level the coal for the coal train based on the coal leveling height;

[0009] The coal leveling and compaction module includes a coal leveling height component, a coal leveling controller, and a coal leveler. The coal leveling height component is signal-connected to the coal loading module and is used to receive the weight data and output a coal leveling height signal based on the weight data analysis. The coal leveling controller is signal-connected to the coal leveling height component and is used to receive the coal leveling height signal. The coal leveling controller is also signal-connected to the coal leveler and controls the operation of the coal leveler based on the coal leveling height signal.

[0010] Preferably, the coal loading module includes a chute assembly and a weight assembly. The chute assembly is signal-connected to the vehicle movement module and is used to receive the position data, adjust the angle, extension length, and chute switch of the chute according to the position data, and then output the chute data. The weight assembly is signal-connected to the vehicle movement module and is used to receive the position data, record the coal weight of each car of the coal train according to the position data, and output the weight data.

[0011] Preferably, the weight component includes a weighing unit and an alarm unit. The weighing unit is used to acquire the weight and weight distribution of the coal in the coal train car and output the weight data. The alarm unit is signal-connected to the weighing unit and is used to receive the weight data and determine whether a weight accumulation phenomenon has occurred based on the weight distribution. If a weight accumulation phenomenon occurs, the alarm unit will promptly notify the user.

[0012] Preferably, the coal leveling height component includes a loading / unloading difficulty unit, an external environment unit, a coal characteristic unit, and a coal leveling height unit. The loading / unloading difficulty unit is signal-connected to the coal loading module and is used to receive the weight data, assess the difficulty of unloading coal based on the weight data, and obtain the maximum coal compaction threshold based on the unloading difficulty. The external environment unit is used to detect the external meteorological environment and output meteorological data. The coal characteristic unit is signal-connected to the external environment unit and is used to receive the meteorological data, collect coal physical characteristic data, and analyze the meteorological data and coal physical characteristic data to obtain the minimum coal compaction threshold. The coal leveling height unit is signal-connected to both the loading / unloading difficulty unit and the coal characteristic unit and is used to receive the maximum coal compaction threshold and the minimum coal compaction threshold, confirm the coal leveler height based on the maximum coal compaction threshold and the minimum coal compaction threshold, and output the coal leveling height signal.

[0013] Preferably, the loading and unloading difficulty unit is configured as a microcomputer, which is signal-connected to the weight component and is used to receive the weight data, obtain historical coal unloading records, query the coal compaction of all coal successfully unloaded under the corresponding weight according to the historical coal unloading records, and select the coal compaction with the largest value from all coal compaction values ​​as the maximum coal compaction threshold.

[0014] Preferably, the external environment unit includes a humidity sensor and a wind sensor, wherein the humidity sensor is used to detect air humidity and output meteorological humidity data; and the wind sensor is used to detect wind speed and output meteorological wind speed data.

[0015] Preferably, the coal characteristic unit is configured as a data acquisition subunit, a judgment subunit, and a calculation subunit. The data acquisition subunit is used to acquire and output coal characteristic data, including coal moisture content and coal particle size distribution data. The judgment subunit is signal-connected to the data acquisition subunit and the external environment unit, and is used to receive the coal characteristic data and the meteorological data, determine the coal flow performance value based on the coal characteristic data and the meteorological humidity data, and determine whether the coal dust level reaches a preset dust level threshold based on the meteorological wind speed data. If the preset dust level threshold is reached, a calculation signal is output. The calculation subunit is signal-connected to the judgment subunit, and is used to receive the calculation signal, calculate the dust difference between the dust level and the dust level threshold, and determine the minimum coal compaction threshold based on the dust difference.

[0016] Preferably, the coal leveling height unit includes a fracturing subunit and a height subunit. The fracturing subunit is signal-connected to the loading / unloading difficulty unit and the coal characteristic unit, and is used to receive the maximum coal compaction threshold and the minimum coal compaction threshold to form a coal compaction range, obtain a coal fracturing threshold, and obtain the corresponding coal compaction based on the coal fracturing threshold and the coal compaction range, which is recorded as the final compaction. The height subunit is signal-connected to the fracturing subunit and the weight component, and is used to receive the final compaction and the weight data, obtain the car volume parameters of the coal train, calculate the expected coal height based on the weight data and the car volume parameters, obtain the initial coal compaction, calculate the height difference based on the initial compaction and the final compaction, and calculate the leveling height by combining the expected coal height and the height difference, and output the leveling height signal.

[0017] Preferably, the fragmentation subunit is configured as a processor to obtain a coal fragmentation threshold, obtain the corresponding coal compaction based on the coal fragmentation threshold and record it as a reference compaction; determine whether the reference compaction is within the coal compaction range. If the reference compaction is within the coal compaction range, then the reference compaction is used as the final compaction; if the reference compaction is not within the coal compaction range, determine whether the reference compaction is greater than the maximum coal compaction threshold. If the reference compaction is greater than the maximum coal compaction threshold, then the maximum coal compaction threshold is used as the final compaction; if the reference compaction threshold is not greater than the maximum coal compaction threshold, then set the weight ratio of the reference compaction and the minimum coal compaction threshold respectively, calculate the ideal compaction based on the reference compaction, the minimum coal compaction threshold and the corresponding weight ratio, and select the coal compaction closest to the ideal compaction in the coal compaction range as the final compaction.

[0018] Secondly, the intelligent loading method based on big data provided in this application adopts the following technical solution:

[0019] Intelligent loading methods based on big data include:

[0020] Read the vehicle information of the coal train and confirm whether the coal train is the correct vehicle based on the vehicle information;

[0021] If it is the correct vehicle, the train is controlled to move and the position of the coal train is detected in real time to obtain the position data;

[0022] Coal is loaded into the coal train based on the location data, and the weight of the loaded coal is recorded to obtain the weight data.

[0023] Assess the difficulty of unloading coal and obtain the maximum threshold of coal compaction based on the unloading difficulty;

[0024] The external meteorological environment is detected and meteorological data is obtained. Coal physical property data is collected, and the minimum threshold for coal compaction is obtained by analyzing the meteorological data and coal physical property data.

[0025] The height of the coal leveler is determined by combining the maximum and minimum coal compaction thresholds with a preset coal fragmentation threshold.

[0026] The operation of the coal leveler is controlled according to its height, and the user is notified that loading is complete after the coal leveler has finished operating.

[0027] In summary, this application includes at least one of the following beneficial technical effects:

[0028] 1. The vehicle confirmation module automatically reads the vehicle information of the coal train, confirms the train's identity, and the vehicle movement module controls the train's movement and monitors its position in real time. The coal loading module loads coal into the train based on its position, records the weight of the loaded coal, and outputs the weight data. The coal leveling and compaction module collects meteorological data, analyzes the weight and meteorological data to determine the leveling height, and then levels the coal train accordingly. During the coal leveling process, by combining the weight of the coal train with external weather conditions, the use of dust suppressants is reduced, improving the economic efficiency of intelligent loading based on big data.

[0029] 2. The unloading difficulty unit assesses the difficulty of unloading coal to obtain the maximum threshold for coal compaction. The external environment unit detects the external meteorological environment and outputs meteorological data. The coal characteristic unit collects coal physical property data, and the minimum threshold for coal compaction is obtained by analyzing the meteorological and physical property data. The coal leveling height unit determines the leveler height based on the maximum and minimum coal compaction thresholds and outputs the leveling height signal. Coal compaction is determined from the unloading difficulty, external meteorological conditions, and coal characteristics, thus determining the leveling height for leveling operations. Setting the coal compaction according to actual conditions reduces dust, is more environmentally friendly than dust suppressants, and improves the environmental friendliness of intelligent loading based on big data.

[0030] 3. The coal fragmentation threshold is obtained through the fragmentation sub-unit, and the corresponding reference compactness is derived. Based on three scenarios—the reference compactness being less than the minimum threshold of the coal compactness range, greater than the maximum threshold, and within the coal compactness range—the final suitable coal compactness is determined as the final compactness. The height sub-unit then determines the leveler height based on the final compactness for subsequent leveling operations. By considering coal fragmentation in the leveling height setting, coal loss during leveling is reduced, better reflecting actual transportation conditions and improving the practicality of intelligent loading based on big data. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the module connections of an embodiment of the intelligent loading system based on big data of the present invention.

[0032] Figure 2 This is a schematic diagram of the connection of the coal leveling height component in an embodiment of the intelligent loading method based on big data of the present invention.

[0033] Figure 3 This is a schematic diagram illustrating the specific steps of an embodiment of the intelligent loading method based on big data of the present invention.

[0034] Explanation of reference numerals in the attached diagram: 1. Vehicle confirmation module; 2. Vehicle movement module; 3. Coal loading module; 31. Chute assembly; 32. Weight assembly; 321. Weighing unit; 322. Alarm unit; 4. Coal leveling and compaction module; 41. Coal leveling height assembly; 411. Loading and unloading difficulty unit; 412. External environment unit; 4121. Humidity sensor; 4122. Wind sensor; 413. Coal characteristic unit; 4131. Acquisition subunit; 4132. Judgment subunit; 4133. Calculation subunit; 414. Coal leveling height unit; 4141. Fragmentation subunit; 4142. Height subunit; 42. Coal leveling controller; 43. Coal leveler. Detailed Implementation

[0035] The following examples and... Figures 1-3 The present invention will be described in further detail, but the embodiments of the present invention are not limited thereto.

[0036] This invention discloses an intelligent loading system based on big data, specifically including:

[0037] Vehicle confirmation module 1 is used to automatically read the vehicle information of coal trains, confirm whether the coal train is the correct vehicle based on the vehicle information, and output a vehicle correct signal if it is the correct vehicle.

[0038] Vehicle confirmation module 1 includes a camera and intelligent software. The camera takes pictures of the vehicle information area in the wagon, and the intelligent analysis software reads the vehicle information to ensure accurate readings for each vehicle. After vehicle alignment, a complete weighbridge slip is generated, containing information such as vehicle type, vehicle number, wagon weight, and load capacity, preparing for automated loading. Based on the read vehicle information, the system automatically generates a weighbridge slip in the server management system. By identifying the vehicles to be loaded in the slip, the system automatically identifies faulty vehicles. When a faulty vehicle reaches the loading position, the traction winch does not stop, but the loading conveyor belt and the upper-level system stop. The system automatically pushes the faulty vehicle off the weighbridge, preventing faulty vehicles from being mistakenly loaded.

[0039] The vehicle movement module 2 is signal-connected to the vehicle confirmation module 1. It is used to receive correct vehicle signals, control the movement of the train, and output position data after real-time detection of the position of the coal train.

[0040] During the loading process, the conveyor belt does not stop running when the cars pass by. Controlling the forward speed of the traction winch can realize the movement speed control of the coal train. With lidar detection technology as the core, it utilizes its high detection accuracy, high scanning frequency, long distance and wide angle scanning range and all-weather operation to acquire on-site data and realize the accurate detection of the car position. The positioning accuracy is controlled at the centimeter level, so as to realize subsequent automatic continuous and balanced loading.

[0041] The coal loading module 3 is signal-connected to the vehicle movement module 2. It is used to receive position data, load coal into the coal train according to the position data, record the weight of the loaded coal, and output the weight data.

[0042] The coal leveling and compaction module 4 is connected to the coal loading module 3 by signal. It is used to receive weight data, collect meteorological data, analyze the weight data and meteorological data to obtain the coal leveling height, and level the coal for the coal train based on the coal leveling height.

[0043] The coal leveling and compaction module 4 includes a coal leveling height component 41, a coal leveling controller 42, and a coal leveler 43. The coal leveling height component 41 is signal-connected to the coal loading module 3, used to receive weight data, and outputs a coal leveling height signal based on the weight data analysis. The coal leveling controller 42 is signal-connected to the coal leveling height component 41, used to receive the coal leveling height signal, and is signal-connected to the coal leveler 43, controlling the operation of the coal leveler 43 according to the coal leveling height signal.

[0044] In practical applications, dust suppressants are typically sprayed to reduce dust during transportation in general loading systems. However, the use of dust suppressants not only affects the coal but also the ecological environment. During loading, leveling is necessary to address the uneven distribution of coal within the wagon. Therefore, by adjusting the height of the leveler, the compactness of the coal can be altered, thereby reducing transportation dust, which not only reduces costs but also improves the environmental friendliness of coal transportation.

[0045] The coal loading module 3 includes a chute assembly 31 and a weight assembly 32. The chute assembly 31 is signal-connected to the vehicle movement module 2, used to receive position data, and adjust the angle, extension length, and chute opening / closing of the chute according to the position data before outputting chute data. The weight assembly 32 is signal-connected to the vehicle movement module 2, used to receive position data, record the coal weight of each car of the coal train according to the position data, and output weight data.

[0046] In practical applications, the system monitors the car's position in real time. When the car reaches the loading position, the system automatically adjusts the angle and extension length of the loading chute to ensure the material falls onto the first loading point within the car. At this point, the system automatically starts the loading belt conveyor, and automatic loading begins normally. When the weight at the first loading point reaches the specified value, the winch starts operating, and the car moves forward. During the loading process, based on the coal feed rate and weight data from the track scale, the system calculates the winch's operating frequency and the angle and extension length of the loading chute, continuously adjusting the car's moving speed and the chute angle to achieve a balanced and smooth loading effect. When the weight reaches the metering requirement, the data is saved and the loading data is recorded. Then, the winch moves forward, pulling the next car to the corresponding position for loading. By adjusting the chute and recording the weight distribution of coal within the car, it is beneficial for uniform loading and reduces the possibility of uneven weight distribution within the car.

[0047] The weight assembly 32 includes a weighing unit 321 and an alarm unit 322. The weighing unit 321 is used to acquire the weight and weight distribution of the coal in the coal train car and output the weight data. The alarm unit 322 is signal-connected to the weighing unit 321 and is used to receive the weight data and determine whether a concentrated weight phenomenon has occurred based on the weight distribution. If a concentrated weight phenomenon occurs, an alarm will be promptly triggered to notify the user.

[0048] In practical applications, the weight data fed back from the track scale reveals the weight distribution of coal within the wagon. When a concentrated weight distribution occurs, an alarm can be triggered to notify the user, allowing for adjustments to the coal distribution within the wagon. Concentrated weight distribution refers to the situation where the weight of goods is concentrated on a small portion of the loading vehicle's floor. Specifically, when a single item of goods is heavy and its contact area with the vehicle floor is relatively small, the weight will be concentrated on the floor, increasing the pressure on that portion of the floor. The alarm unit 322 also includes a voice subunit, which not only provides voice alarms but also offers voice prompts at various stages, reminding inspection personnel to observe the work process and equipment operation for any abnormalities.

[0049] Alarm unit 322 covers equipment status alarms, sensor data alarms, software control alarms, and loading quality alarms. Alarms of varying impact are categorized into three levels, with level one being the lowest and level three the highest. Each level has a different handling method. Level One Alarm: Indicates a minor potential malfunction that is insufficient to cause production interruption, such as belt misalignment or single-point alarms on the light curtain. The handling method is to display the alarm prominently on the host computer interface to alert supervisors. Level Two Alarm: Includes medium-sized malfunctions that pose a significant hazard and could cause a shutdown if left unaddressed. Examples include insufficient coal supply or auxiliary system malfunctions. The handling method is a "stop next section" logic; that is, upon issuing the alarm signal, after loading the current section, the system pauses loading, awaiting manual inspection or handling to prevent further problems. If the alarm is cleared, the system can continue loading. Level Three Alarm: Requires immediate cessation of loading, such as overload, severe uneven loading, or hydraulic system malfunctions. The handling method is to immediately raise the chute to a horizontal position, stop coal loading, and simultaneously activate audible and visual alarms to alert supervisors. In this case, manual handling is mandatory. Once the alarm is cleared, the system can resume control in the next car.

[0050] The coal leveling height component 41 includes a loading / unloading difficulty unit 411, an external environment unit 412, a coal characteristic unit 413, and a coal leveling height unit 414. The loading / unloading difficulty unit 411 is signal-connected to the coal loading module 3, used to receive weight data, assess the difficulty of unloading coal based on the weight data, and obtain the maximum coal compaction threshold based on the unloading difficulty. The external environment unit 412 is used to detect the external meteorological environment and output meteorological data. The coal characteristic unit 413 is signal-connected to the external environment unit 412, used to receive meteorological data, collect coal physical characteristic data, and analyze the meteorological data and coal physical characteristic data to obtain the minimum coal compaction threshold. The coal leveling height unit 414 is signal-connected to both the loading / unloading difficulty unit 411 and the coal characteristic unit 413, used to receive the maximum and minimum coal compaction thresholds, confirm the leveling height based on the maximum and minimum coal compaction thresholds, and output the coal leveling height signal.

[0051] In practical applications, compacting coal can effectively reduce dust generation during transportation. However, it's not the case that the more compacted the coal, the better. Overly compacted coal can make unloading difficult and affect subsequent work. Adjusting the height of the coal leveler 43 can alter the coal's compactness. Therefore, determining the appropriate height for the coal leveler 43 to reduce both dust generation and the impact of leveling requires careful consideration. External environmental factors, the physical properties of the coal, and the difficulty of unloading all influence the adjustment of the coal leveler height. For example, if the leveler is too high, the coal will be loose, leading to dust generation and increased environmental pollution during transportation. Conversely, if the leveler is too low, the coal will be very compacted, making it difficult to pour out during unloading.

[0052] The loading and unloading difficulty unit 411 is configured as a microcomputer. The microcomputer is connected to the weight component 32 by a signal to receive weight data, obtain historical coal unloading records, query the compactness of all coals that were successfully unloaded under the corresponding weight according to the historical coal unloading records, and select the coal compactness with the largest value from all coal compactness as the maximum coal compactness threshold.

[0053] In practical applications, coal with high density has smaller gaps between particles and poor flowability. Coal with low density has larger gaps between particles and good flowability. Under the same flowability and other conditions, heavier coal exhibits different behaviors during unloading due to greater inertia or gravity. For example, during mechanical unloading, heavier coal is more easily moved by tilting or vibrating devices, thus accelerating its flow and unloading process. Therefore, it can be assumed that the greater the weight of the coal, the higher the acceptable density for smooth unloading. For example, 100 kg of coal cannot be smoothly poured out if its density is greater than 70, meaning it cannot be unloaded smoothly. Therefore, the maximum acceptable density threshold for 100 kg of coal is 70. The maximum acceptable density threshold for 200 kg of coal is 80, because the greater weight of the coal during pouring makes gravity more effective in overcoming the friction between coal particles, allowing the coal to flow more easily from the car.

[0054] The external environment unit 412 includes a humidity sensor 4121 and a wind sensor 4122. The humidity sensor 4121 is used to detect air humidity and output meteorological humidity data. The wind sensor 4122 is used to detect wind speed and output meteorological wind speed data.

[0055] In practical applications, humidity has a significant impact on the flowability of coal. A suitable amount of moisture can increase the lubrication between coal particles and improve flowability. However, excessive moisture can cause coal particles to stick together, reducing flowability. Since the top of coal trains is unobstructed, the external ambient humidity easily affects the flowability of coal, thus affecting coal dust. Similarly, wind speed also affects coal dust; wind is the driving force behind the movement of dust particles and the resulting atmospheric dust. When the wind speed gradually increases to a level sufficient to cause the loose particles on the surface of the coal pile to undergo vector displacement under the action of airflow, the dust particles move from a stationary state. When the wind speed reaches its critical speed, the coal particles will vibrate or sway back and forth due to the influence of air turbulence. As the wind speed continues to increase, once it exceeds the critical speed, the amplitude and tendency of the vibration of the coal particles will also become stronger, eventually causing some unstable coal particles to roll or slide along the surface of the pile, or even be carried away by the airflow, forming dust. Therefore, the higher the wind speed, the higher the required compactness of the coal; the higher the coal compactness, the better it can resist the effects of wind.

[0056] The coal characteristic unit 413 is configured with an acquisition subunit 4131, a judgment subunit 4132, and a calculation subunit 4133. The acquisition subunit 4131 is used to acquire and output coal characteristic data, including coal moisture content and coal particle size distribution data. The judgment subunit 4132 is signal-connected to the acquisition subunit 4131 and the external environment unit 412, and is used to receive coal characteristic data and meteorological data. Based on the coal characteristic data and meteorological humidity data, it confirms the flow performance value of the coal, and determines whether the dust level of the coal reaches a preset dust level threshold based on the meteorological wind speed data. If it reaches the preset dust level threshold, it outputs a calculation signal. The calculation subunit 4133 is signal-connected to the judgment subunit 4132, and is used to receive the calculation signal, calculate the dust difference between the dust level and the dust level threshold, and determine the minimum threshold for coal compaction based on the dust difference. The coal characteristic unit 413 is configured as a data processing device, including but not limited to a computer.

[0057] In practical applications, wind does indeed affect coal dust, but the actual dust content is also related to the physical properties of the coal. When the coal's fluidity is low, the amount of dust will decrease. The fluidity of coal is related not only to its compactness but also to its moisture content and particle size distribution. Coal with a uniform particle size distribution usually has good fluidity because the gaps between particles are relatively uniform, which is conducive to coal flow. Conversely, coal with an uneven particle size distribution may have a "bridging" effect between large particles, hindering the flow of smaller particles. Higher coal moisture content causes excessive moisture to cause coal particles to stick together, reducing fluidity. Therefore, the coal moisture content must consider not only the initial moisture content but also the moisture content increased by air humidity. By setting weight ratios for coal moisture content and the uniformity of coal particle size distribution, the fluidity performance value is calculated. Based on the fluidity performance value and wind speed, the amount of dust is judged; the worse the fluidity and the higher the wind speed, the greater the amount of dust, i.e., the more severe the dust pollution. If the preset dust level threshold is not reached, it means that further coal compaction is not necessary, and the setting can be based on the daily coal leveling height. If the preset dust level threshold is reached, it means that further coal compaction is necessary. In this case, based on the dust difference and the preset dust level and coal compaction correspondence table, the minimum coal compaction threshold is obtained, that is, how much coal compaction is required to meet the dust control requirements.

[0058] The coal leveling height unit 414 includes a fracturing subunit 4141 and a height subunit 4142. The fracturing subunit 4141 is signal-connected to the loading / unloading difficulty unit 411 and the coal characteristic unit 413. It receives the maximum and minimum coal compaction thresholds to form a coal compaction range, obtains the coal fracturing threshold, and calculates the corresponding coal compaction based on the fracturing threshold and the coal compaction range, recording it as the final compaction. The height subunit 4142 is signal-connected to the fracturing subunit 4141 and the weight component 32. It receives the final compaction and weight data, obtains the coal train's car volume parameters, and calculates the expected coal height based on the weight data and car volume parameters. It obtains the initial coal compaction, calculates the height difference based on the initial and final compaction, and calculates the leveling height by combining the expected coal height and the height difference, outputting the leveling height signal. The height subunit 4142 is configured as a calculator for data calculation.

[0059] In practical applications, the process of applying pressure to coal can also cause coal fragmentation, so dust pollution cannot be considered in isolation. If dust pollution renders the coal unusable, it would be counterproductive. The coal compaction is determined based on the acceptable fragmentation threshold. Different types of coal have different uses and therefore different fragmentation thresholds. For example, if the coal needs to be ground into powder, the fragmentation threshold is higher. If the coal needs to be burned in large pieces, the fragmentation threshold is lower. Clearly, the greater the coal compaction, the greater the degree of coal fragmentation. As a porous medium, coal contains numerous weak surfaces such as fissures, joints, and stratifications. The presence of these weak surfaces makes the coal prone to fracture under external forces. Therefore, based on the acceptable degree of fragmentation, the acceptable coal compaction under the leveler 43 can be obtained. The leveler height is then determined based on the confirmed coal compaction. The lower the leveler height, the greater the coal compaction, and vice versa.

[0060] The fragmentation subunit 4141 is configured as a processor to obtain a coal fragmentation threshold, calculate the corresponding coal compaction based on the coal fragmentation threshold, and record it as a reference compaction. It then determines whether the reference compaction is within the coal compaction range. If the reference compaction is within the range, it is used as the final compaction. If the reference compaction is not within the range, it determines whether the reference compaction is greater than the maximum coal compaction threshold. If the reference compaction is greater than the maximum coal compaction threshold, it is used as the final compaction. If the reference compaction threshold is not greater than the maximum coal compaction threshold, it sets weight ratios for the reference compaction and the minimum coal compaction threshold, calculates the ideal compaction based on the reference compaction, the minimum coal compaction threshold, and the corresponding weight ratios, and selects the coal compaction closest to the ideal compaction within the coal compaction range as the final compaction.

[0061] In practical applications, if the reference compactness corresponding to the acceptable coal fragility threshold is within the coal compactness range, the leveler height can be adjusted directly according to the reference compactness. If it is not within the range, but the reference coal compactness is greater than the maximum threshold of the coal compactness range, the maximum value of the range can be used directly. For example, if the coal compactness range is 50-70 and the reference compactness is 80, the larger the reference compactness, the greater the acceptable degree of fragility of the coal. When the coal compactness is selected as 70, the degree of coal fragility has not reached the fragility threshold, thus meeting both dust control and fragility requirements. If the reference compactness is neither within the coal compactness range nor greater than the maximum compactness threshold, it means that the reference compactness is smaller than the minimum threshold of the coal compactness range. In this case, it is necessary to calculate based on the weight ratio of the reference compactness and the minimum threshold. For example, if the reference compactness and minimum threshold are 30 and 50 respectively, with weighting ratios of 70% and 30%, then the calculated value is 30 × 70% + 50 × 30% = 36. This balances coal breakage and dust levels to obtain a suitable compactness. If the reference compactness weighting ratio is 100%, it means that if coal breakage exceeds the threshold, the material cannot be used. Therefore, the compactness must be selected as 30 to prevent the coal breakage from exceeding the threshold.

[0062] The intelligent loading method based on big data, through the application of the aforementioned intelligent loading system based on big data, includes:

[0063] Read the vehicle information of the coal train and confirm whether the coal train is the correct vehicle based on the vehicle information.

[0064] If the vehicle is correct, the train's movement is controlled and the position of the coal train is detected in real time to obtain position data.

[0065] Coal is loaded into the coal train based on the location data, and the weight of the loaded coal is recorded to obtain the weight data.

[0066] Assess the difficulty of unloading coal and obtain the maximum threshold of coal compaction based on the unloading difficulty.

[0067] The external meteorological environment is detected and meteorological data is obtained. Coal physical property data is collected, and the minimum threshold for coal compaction is obtained by analyzing the meteorological data and coal physical property data.

[0068] The height of the coal leveler is determined by combining the maximum and minimum coal compaction thresholds with a preset coal fragmentation threshold.

[0069] The operation of the coal leveler is controlled according to its height, and the user is notified that loading is complete after the coal leveler has finished operating.

[0070] In practical applications, by reading and confirming the vehicle information of coal trains, the movement of the trains is controlled to load coal. The height of the coal leveler is determined by combining the difficulty of unloading coal, external weather conditions, and a preset threshold for coal fragmentation, thereby controlling the operation of the coal leveler. This allows for one-click operation of the loading process, reducing the tediousness of manual operation. Simultaneously, the coal leveler compacts the coal, reducing dust generation during transportation and the need for dust suppressants. This lowers costs and improves the environmental friendliness of the loading process.

[0071] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. An intelligent loading system based on big data, characterized in that, include: The vehicle confirmation module (1) is used to automatically read the vehicle information of the coal train and confirm whether the coal train is the correct vehicle based on the vehicle information. If it is the correct vehicle, it outputs the vehicle correct signal. The vehicle movement module (2) is signal-connected to the vehicle confirmation module (1) and is used to receive the correct vehicle signal, control the train movement, and output position data after real-time detection of the coal train's position. The coal loading module (3) is signal-connected to the vehicle moving module (2) and is used to receive the position data, load coal into the coal train according to the position data, record the weight of the loaded coal, and output the weight data. The coal leveling and compaction module (4) is connected to the coal loading module (3) by signal, and is used to receive the weight data, collect meteorological data, analyze the coal leveling height based on the weight data and meteorological data, and level the coal for the coal train based on the coal leveling height. The coal leveling and compaction module (4) includes a coal leveling height component (41), a coal leveling controller (42), and a coal leveler (43). The coal leveling height component (41) is signal-connected to the coal loading module (3) and is used to receive the weight data and output a coal leveling height signal based on the weight data analysis. The coal leveling controller (42) is signal-connected to the coal leveling height component (41) and is used to receive the coal leveling height signal. The coal leveling controller (42) is signal-connected to the coal leveler (43) and controls the coal leveler (43) to work based on the coal leveling height signal. The coal leveling height component (41) includes a loading and unloading difficulty unit (411), an external environment unit (412), a coal characteristic unit (413), and a coal leveling height unit (414). The loading and unloading difficulty unit (411) is signal-connected to the coal loading module (3) and is used to receive the weight data, assess the difficulty of unloading coal based on the weight data, and obtain the maximum coal compaction threshold based on the unloading difficulty. The external environment unit (412) is used to detect the external meteorological environment and output meteorological data. The coal characteristic unit (413) is signal-connected to the external environment unit (412) and is used to receive the meteorological data, collect coal physical characteristic data, and analyze the meteorological data and coal physical characteristic data to obtain the minimum coal compaction threshold. The coal leveling height unit (414) is signal-connected to both the loading and unloading difficulty unit (411) and the coal characteristic unit (413) and is used to receive the maximum coal compaction threshold and the minimum coal compaction threshold, confirm the coal leveler height based on the maximum coal compaction threshold and the minimum coal compaction threshold, and output the coal leveling height signal.

2. The intelligent loading system based on big data according to claim 1, characterized in that, The coal loading module (3) includes a chute assembly (31) and a weight assembly (32). The chute assembly (31) is signal-connected to the vehicle movement module (2) and is used to receive the position data, and adjust the angle, extension length and chute switch of the chute according to the position data before outputting the chute data. The weight assembly (32) is signal-connected to the vehicle movement module (2) and is used to receive the position data, record the coal weight of each car of the coal train according to the position data and output the weight data.

3. The intelligent loading system based on big data according to claim 2, characterized in that, The weight component (32) includes a weighing unit (321) and an alarm unit (322). The weighing unit (321) is used to acquire the weight and weight distribution of the coal in the coal train car and output the weight data. The alarm unit (322) is signal-connected to the weighing unit (321) and is used to receive the weight data and determine whether a weight accumulation phenomenon has occurred based on the weight distribution. If a weight accumulation phenomenon occurs, the alarm will be promptly notified to the user.

4. The intelligent loading system based on big data according to claim 3, characterized in that, The loading and unloading difficulty unit (411) is configured as a microcomputer. The microcomputer is signal-connected to the weight component (32) and is used to receive the weight data, obtain the historical coal unloading record, query the coal compaction of all coals successfully unloaded under the corresponding weight according to the historical coal unloading record, and select the coal compaction with the largest value from all coal compaction as the maximum coal compaction threshold.

5. The intelligent loading system based on big data according to claim 4, characterized in that, The external environment unit (412) includes a humidity sensor (4121) and a wind sensor (4122). The humidity sensor (4121) is used to detect air humidity and output meteorological humidity data; the wind sensor (4122) is used to detect wind speed and output meteorological wind speed data.

6. The intelligent loading system based on big data according to claim 5, characterized in that, The coal characteristic unit (413) is configured as a collection subunit (4131), a judgment subunit (4132), and a calculation subunit (4133). The collection subunit (4131) is used to collect and output coal characteristic data, including coal moisture content and coal particle size distribution data. The judgment subunit (4132) is signal-connected to the collection subunit (4131) and the external environment unit (412), and is used to receive the coal characteristic data and the meteorological data. Based on the coal characteristic data and the meteorological humidity data, it confirms the flow performance value of the coal. Based on the meteorological wind speed data, it judges whether the dust level of the coal reaches the preset dust level threshold. If it reaches the preset dust level threshold, it outputs a calculation signal. The calculation subunit (4133) is signal-connected to the judgment subunit (4132), and is used to receive the calculation signal, calculate the dust difference between the dust level and the dust level threshold, and confirm the minimum threshold of coal compaction based on the dust difference.

7. The intelligent loading system based on big data according to claim 6, characterized in that, The coal leveling height unit (414) includes a fracturing subunit (4141) and a height subunit (4142). The fracturing subunit (4141) is signal-connected to the loading and unloading difficulty unit (411) and the coal characteristic unit (413). It is used to receive the maximum threshold of coal compaction and the minimum threshold of coal compaction to form a coal compaction range, obtain the coal fracturing threshold, and obtain the corresponding coal compaction based on the coal fracturing threshold and the coal compaction range, and record it as the final compaction. The height subunit (4142) is signal-connected to the fracturing subunit (4141) and the weight component (32). It is used to receive the final compaction and the weight data, obtain the car volume parameters of the coal train, calculate the expected coal height based on the weight data and the car volume parameters, obtain the initial coal compaction, calculate the height difference based on the initial compaction and the final compaction, and calculate the leveling height by combining the expected coal height and the height difference, and output the leveling height signal.

8. The intelligent loading system based on big data according to claim 7, characterized in that, The fragmentation subunit (4141) is configured as a processor to obtain a coal fragmentation threshold, and obtain the corresponding coal compaction based on the coal fragmentation threshold and record it as a reference compaction. Determine whether the reference compactness is within the range of coal compactness. If the reference compactness is within the range of coal compactness, then the reference compactness is taken as the final compactness. If the reference compactness is not within the range of coal compactness, then it is determined whether the reference compactness is greater than the maximum threshold of coal compactness. If the reference compactness is greater than the maximum threshold of coal compactness, then the maximum threshold of coal compactness is taken as the final compactness. If the reference compactness threshold is not greater than the maximum coal compactness threshold, then the weight ratios of the reference compactness and the minimum coal compactness threshold are set respectively. The ideal compactness is calculated based on the reference compactness, the minimum coal compactness threshold, and the corresponding weight ratios. The coal compactness that is closest to the ideal compactness in the coal compactness range is selected as the final compactness.

9. A smart loading method based on big data, characterized in that, By applying the intelligent loading system based on big data as described in any one of claims 1-8, the system includes: Read the vehicle information of the coal train and confirm whether the coal train is the correct vehicle based on the vehicle information; If it is the correct vehicle, the train is controlled to move and the position of the coal train is detected in real time to obtain the position data; Coal is loaded into the coal train based on the location data, and the weight of the loaded coal is recorded to obtain the weight data. Assess the difficulty of unloading coal and obtain the maximum threshold of coal compaction based on the unloading difficulty; The external meteorological environment is detected and meteorological data is obtained. Coal physical property data is collected, and the minimum threshold for coal compaction is obtained by analyzing the meteorological data and coal physical property data. The height of the coal leveler is determined by combining the maximum and minimum coal compaction thresholds with a preset coal fragmentation threshold. The operation of the coal leveler is controlled according to its height, and the user is notified that loading is complete after the coal leveler has finished operating.

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