Intelligent conveying system

Abstract

This invention discloses an intelligent conveying system, relating to the field of conveying system technology, comprising: a conveying unit driven by a drive unit, the conveying unit bearing coal on its surface and changing the sinking state of the conveyor belt based on the weight of the coal; an interaction unit for marking the conveying nodes of the conveyor belt, the conveying nodes being equally spaced, and the coal carried by the conveyor belt between two adjacent conveying nodes constituting a coal unit, the interaction unit interactively determining the position of each coal unit; and a coal metering unit for acquiring the shape of the conveyor belt and determining the coal conveying amount of each coal unit based on the changes in the conveyor belt shape. During the conveying process, this invention acquires the changes in the conveyor belt shape, determines the amount of coal conveyed by the conveyor belt based on the changes in shape, and determines the loading equipment corresponding to each loading task based on the coal loading amount required for each loading task, calculating the precise loading amount of each loading equipment.

Description

Technical Field

[0001] This invention relates to the field of conveying system technology, specifically to intelligent conveying systems. Background Technology

[0002] With the development of industrial production, the logistics industry has an increasingly urgent need to improve production efficiency, reduce costs, and minimize manual intervention. Traditional conveying systems often suffer from problems such as complex operation, low efficiency, and high labor costs. To address these issues, intelligent conveying systems have emerged. As a crucial link in the production process, the operational efficiency and stability of intelligent conveying systems directly affect the efficiency of the entire production line. This addresses the problems of traditional conveying systems, such as complex operation, high maintenance costs, and low operating efficiency.

[0003] CN116605677A discloses an intelligent graphite conveying system. This system includes a controller, at least one buffer tank, at least one weighing bin, and at least one terminal bin. The controller is communicatively connected to the buffer tank, weighing bin, and terminal bin. The buffer tank and weighing bin are connected via a first pipe, and the weighing bin and terminal bin are connected via a second pipe. A screw conveyor is installed in the first pipe. During graphite conveying, a weighing bin is set up between the buffer tank and the terminal bin. Graphite first enters the weighing bin from the buffer tank. The weight recorded in the weighing bin serves as the trigger for subsequent graphite transfer, and transport stops once all graphite has been transferred to the weighing bin. Through the transfer and weighing functions of the weighing bin, and the power adjustment of the conveying device during the weighing process, precise control of the graphite transport from the buffer tank to the terminal bin is achieved.

[0004] During the transportation of coal at the port, it is impossible to automatically allocate transportation tasks based on the transportation situation. Operators need to set the loading time for each transportation task and determine the loading volume based on the transportation efficiency of the transportation system and the loading time. However, the weight difference of coal during transportation leads to differences in the final loading volume. Summary of the Invention

[0005] One of the objectives of this invention is to provide an intelligent conveying system that, during the coal loading process, can determine the accurate loading amount based on the set loading amount for each loading task and the state of the coal during the conveying process. Only the loading amount for each loading task needs to be set, and the conveying system can achieve the precise state.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an intelligent conveying system, comprising:

[0007] The conveying unit is driven by a drive unit. The surface of the conveying unit carries coal and changes the sinking state of the conveyor belt based on the weight of the coal.

[0008] Interactive units are used to mark the conveyor nodes of the conveyor belt. The conveyor nodes are spaced at the same interval. The coal carried by the conveyor belt between two adjacent conveyor nodes is a coal unit. The interactive units interactively determine the position of each coal unit.

[0009] The coal metering unit acquires the shape of the conveyor belt and determines the coal conveying capacity of each coal unit based on the changes in the conveyor belt shape.

[0010] The scheduling unit determines the conveying position of the loading equipment corresponding to each coal unit according to the loading task, calculates the amount of coal required for each loading task, and determines the conveying of the coal unit based on the remaining loading amount of the loading task. The scheduling unit also sets up a conveying model for calculating historical coal conveying volume. The conveying model determines the amount of coal conveyed into the conveying unit based on historical coal conveying volume data.

[0011] The control terminal is used to set the loading tasks for each loading device, monitor the loading progress in real time, and manage the coal inventory.

[0012] In one or more embodiments of the present invention, the interaction unit includes multiple photoelectric sensor transmitters or receivers uniformly installed on the inner side of the conveyor belt, at least one photoelectric sensor receiver or transmitter, and a metering module. The multiple photoelectric sensor transmitters or receivers correspond to at least one photoelectric sensor receiver or transmitter. The metering module acquires the received signal of the photoelectric sensor receiver and measures the number of interactions between the photoelectric sensor transmitter and receiver.

[0013] In one or more embodiments of the present invention, the interaction unit further includes a transmission module that interacts with the driving unit. The transmission module obtains the driving parameters of the driving unit and determines the conveyor belt speed through the driving parameters. The metering module interacts with the transmission module to calibrate the conveying nodes.

[0014] The transmitter and receiver are set at an angle to correspond.

[0015] In one or more embodiments of the present invention, the coal metering unit includes:

[0016] Sag acquisition equipment monitors the conveyor belt's conveying status and the changes in its sag.

[0017] The data processing module processes the sag change data and extracts the sag values ​​of the conveyor belt at different positions.

[0018] The sag model is established based on the support points (a1, a2) at both ends of the conveyor belt. It determines the initial sag of the conveyor belt during the no-load process and calculates the coal weight corresponding to each coal unit based on the change of the conveyor belt sag value during the coal transportation process.

[0019] In one or more embodiments of the present invention, the method for calculating the weight of coal carried by a coal unit corresponding to the change in conveyor belt sag from unloaded to fully loaded is as follows:

[0020] The sag acquisition device obtains the unloaded state of the conveyor belt and records the initial sag d1 of the conveyor belt through the data processing module.

[0021] The first coal unit enters between the two support points (a1, a2), and the interactive units interact to obtain the first conveyor belt sag d2 at this time. The sag model calculates the coal weight W1 of the coal unit at this time.

[0022] W1 = k·(d2-d1);

[0023] Where k is a constant;

[0024] The second coal unit enters between the two support points (a1, a2), and the interactive units interact to obtain the sag of the second conveyor belt at this time, d3. The sag model calculates the weight W2 of the coal in the coal unit at this time.

[0025] W2 = k·(d3-d2);

[0026] Repeatedly calculate the sag change after each addition of a coal unit, and calculate the coal weight of each coal unit until the conveyor belt is fully loaded.

[0027] In one or more embodiments of the present invention, the method for calculating the weight of coal carried by a coal unit corresponding to the change in conveyor belt sag under full load is as follows:

[0028] The sag status of the conveyor belt is collected using the interaction of the interactive unit as the node, and the change of the sag value of the conveyor belt between the two support points (a1, a2) is determined:

[0029] Get the verticality value D before the interaction of the interactive unit f The verticality value D after interaction b Calculate the change in sag ΔD.

[0030] The sag model calculates the weight W of the coal at this point:

[0031] W = k·ΔD;

[0032] The real-time sag change value is substituted into the sag model to calculate the corresponding coal weight for each coal unit.

[0033] In one or more embodiments of the present invention, the sag acquisition device is an image acquisition device, which is installed facing the side of the conveyor belt. The transmitting end and the receiving end of the interactive unit interact to control the image acquisition device to acquire the sag image of the conveyor belt between two support points (a1, a2), and determine the sag of the conveyor belt based on the two support points (a1, a2) and the sag distance of the conveyor belt.

[0034] In one or more embodiments of the present invention, the sag acquisition device is a pressure unit. The pressure unit is set between support points (a1, a2) and its position is fixed. The change in the sag of the conveyor belt applies pressure to the monitoring end of the pressure unit. The greater the sag of the conveyor belt, the greater the pressure monitored at the monitoring end of the pressure unit.

[0035] The sag model converts the pressure monitored by the pressure unit into the current sag D. p :

[0036] Record the initial pressure value T1 and initial sag D1 of the conveyor belt when there is no coal;

[0037] The sag model calculates the current sag D. p :

[0038] D p =D1+j·(T-T1);

[0039] Where j is a constant and T is the current pressure value.

[0040] In one or more embodiments of the present invention, the method for the scheduling unit to schedule coal units and matching loading equipment is as follows:

[0041] Define loading tasks: Set the loading task weights R1, R2...Rx for multiple loading devices, where x is the total number of loading devices;

[0042] Obtain the weight of each coal unit: Record the weight ri of each coal unit;

[0043] Algorithm selection optimization: Use optimization algorithms to determine the optimal loading method;

[0044] Achieve automatic scheduling:

[0045] Initialization: Set the current weight of each loading device to 0;

[0046] Circular allocation: Iterate through each coal unit and allocate the coal unit to the appropriate loading equipment according to the selected optimization algorithm;

[0047] Update weight: After each allocation, update the current weight of the corresponding loaded equipment.

[0048] In one or more embodiments of the present invention, the transport model creates a historical coal transport volume database, divides the historical coal data volume into multiple coverage areas, determines the proportion of historical coal transport volume in each coverage area, and calculates the probability of the coal unit carrying the coal weight coverage area.

[0049] During the optimization algorithm's loading task scheduling process, the weight of coal carried by all coal units located on the conveyor belt is obtained for loading task scheduling.

[0050] Through the above technical solution, the present invention has the following beneficial effects:

[0051] 1. During the conveying process, the present invention obtains the changes in the shape of the conveyor belt, determines the amount of coal conveyed by the conveyor belt based on the changes in shape, and determines the loading equipment corresponding to each loading of the conveyor belt based on the amount of coal required for each loading task. The accurate loading amount of each loading equipment is obtained by calculation to avoid excessive differences in loading amount.

[0052] 2. Determine the loading task at the control end. During the loading process, determine the amount of coal conveyed between each conveying node in the conveying system. During the loading process, determine the weight entering each loading device based on the amount of coal conveyed. Based on the changes in the amount of coal conveyed between each conveying node, determine the loading device that matches it.

[0053] 3. During the conveying process, multiple interactive identification units are set up inside the conveyor belt of the conveyor system. The interactive units are used to determine the conveying nodes in the conveyor belt. The weight of the coal loaded inside the conveyor belt varies, and the amount of coal conveyed is determined according to the state of the conveyor belt.

[0054] 4. Statistically analyze historical coal transport volumes to obtain the frequency of occurrence of different historical coal transport volumes. Predict the coal transport volume based on the frequency of occurrence of historical coal transport volumes, and determine the amount of coal entering the loading equipment each time based on the frequency of occurrence of historical coal volumes, so that the amount of coal loaded can better match the set loading task. Attached Figure Description

[0055] Figure 1 This is a schematic diagram of the conveying system of the present invention;

[0056] Figure 2 This is a schematic diagram showing the installation location of the interactive components of the present invention. Detailed Implementation

[0057] The following describes several embodiments of the present invention with reference to the accompanying drawings. For clarity, many practical details will be described in the following description. However, it should be understood that these practical details are not intended to limit the invention. That is, in some embodiments of the invention, these practical details are not essential. And features of different embodiments may be interchanged if feasible.

[0058] Unless otherwise defined, all terms used herein (including technical and scientific terms) have their ordinary meanings, which are understandable to those skilled in the art. Furthermore, the definitions of the foregoing terms in commonly used dictionaries should be interpreted in the context of this specification as having the meaning consistent with the relevant field of this invention. Unless specifically defined, these terms will not be construed as having idealized or overly formal meanings.

[0059] Please see Figures 1-2 This invention provides an intelligent conveying system, which improves upon existing conveying systems. During use, it is only necessary to set the loading task for each loading device, and the conveying system automatically schedules the loading of coal.

[0060] In one embodiment, the conveying system includes:

[0061] The conveying unit is driven by a drive unit. The surface of the conveying unit carries coal and changes the sinking state of the conveyor belt based on the weight of the coal.

[0062] Interactive units are used to mark the conveyor nodes of the conveyor belt. The conveyor nodes are spaced at the same interval. The coal carried by the conveyor belt between two adjacent conveyor nodes is a coal unit. The interactive units interactively determine the position of each coal unit.

[0063] The coal metering unit acquires the shape of the conveyor belt and determines the coal conveying capacity of each coal unit based on the changes in the conveyor belt shape.

[0064] The scheduling unit determines the conveying position of the loading equipment corresponding to each coal unit according to the loading task, calculates the amount of coal required for each loading task, and determines the conveying of the coal unit based on the remaining loading amount of the loading task. The scheduling unit also sets up a conveying model for calculating historical coal conveying volume. The conveying model determines the amount of coal conveyed into the conveying unit based on historical coal conveying volume data.

[0065] The control terminal is used to set the loading tasks for each loading device, monitor the loading progress in real time, and manage the coal inventory.

[0066] In this embodiment, the accurate weight of each coal conveying unit is determined by calculating the coal conveying amount of each coal unit to ensure accurate calculation during the loading process. Since both ends of the conveyor belt are supported, the conveyor belt between the support positions will have different sags depending on the coal conveying amount of each coal unit. The coal metering unit obtains the change in conveyor belt sag to calculate the change in coal conveying amount within the coal unit.

[0067] Based on the precise coal conveying volume in the coal unit, during the scheduling process according to the loading task, the coal corresponding to the conveying unit can be dispatched to different loading equipment, and different coal quantities can be combined to finally form a loading volume that is closest to the loading task.

[0068] During loading, the operator only needs to set the loading task corresponding to each loading device. The scheduling unit realizes the transportation scheduling of each coal unit in the conveying system. During the scheduling process, the transportation model determines the probability of the amount of coal to be transported in a coal unit based on the historical coal transportation volume. When the scheduling unit refers to the coal units transported by the conveyor belt, it can also use some unloaded coal units as a reference for the scheduling of loading tasks.

[0069] In one embodiment, the interaction unit includes multiple photoelectric sensor transmitters or receivers uniformly installed on the inner side of the conveyor belt, at least one photoelectric sensor receiver or transmitter, and a metering module. The multiple photoelectric sensor transmitters or receivers correspond to at least one photoelectric sensor receiver or transmitter. The metering module acquires the received signal from the photoelectric sensor receiver and measures the number of interactions between the photoelectric sensor transmitter and receiver.

[0070] In this embodiment, by determining the number of interactions between the transmitter and receiver, the movement position of each coal unit can be determined during use, thereby accurately determining the loading task corresponding to each coal unit.

[0071] In another embodiment, the interaction unit includes multiple positioning structures (receiving ends) uniformly installed on the inner side of the conveyor belt, at least one ultrasonic sensor (transmitting end), and a metering module. The ultrasonic sensor works to obtain the position of the positioning structure and calculates the distance between the positioning structure and the ultrasonic sensor. The position of each coal unit is determined by the distance. The metering module obtains the number of coal units that have passed through the ultrasonic sensor.

[0072] In one embodiment, the interaction unit further includes a transmission module that interacts with the drive unit. The transmission module obtains the drive parameters of the drive unit and determines the conveyor belt speed through the drive parameters. The metering module interacts with the transmission module to calibrate the conveyor nodes.

[0073] The transmitter and receiver are set at an angle to correspond.

[0074] In this embodiment, since the transmitter and receiver may malfunction after a period of use, the transmission module determines the speed of the conveyor belt. Since the length and speed of the conveyor belt are fixed, and the receiver and transmitter are uniformly installed, the measurement time intervals of the metering modules are almost identical. By transmitting the measurement time intervals of the metering modules to the metering module through the transmission module, it is possible to determine whether there is a malfunction at the transmitter or receiver.

[0075] In one embodiment, the coal metering unit includes:

[0076] Sag acquisition equipment monitors the conveyor belt's conveying status and the changes in its sag.

[0077] The data processing module processes the sag change data and extracts the sag values ​​of the conveyor belt at different positions.

[0078] The sag model is established based on the support points (a1, a2) at both ends of the conveyor belt. It determines the initial sag of the conveyor belt during the no-load process and calculates the coal weight corresponding to each coal unit based on the change of the conveyor belt sag value during the coal transportation process.

[0079] In this embodiment, a sag model is used to simulate the sag change of the conveyor belt. The weight of coal carried by the coal unit of the conveyor belt located between the two support points (a1, a2) is determined based on the sag change of the conveyor belt between the two support points (a1, a2). This enables the measurement of coal during the conveying process. In conjunction with the interactive unit, the position of the coal unit can be determined.

[0080] The sag acquisition device monitors the conveyor belt's conveying status. The acquisition of the sag acquisition device is controlled by the interaction unit. That is, after the receiving end in the interaction unit receives the instruction from the transmitting end, it controls the sag acquisition device to acquire the conveyor belt's conveying status.

[0081] The support points (a1, a2) are set at positions equal to the sum of the lengths of the integer coal units, in order to facilitate the calculation of the coal units.

[0082] In one embodiment, the method for calculating the weight of coal carried by a coal unit corresponding to the change in conveyor belt sag from unloaded to fully loaded is as follows:

[0083] The sag acquisition device obtains the unloaded state of the conveyor belt and records the initial sag d1 of the conveyor belt through the data processing module.

[0084] The first coal unit enters between the two support points (a1, a2), and the interactive units interact to obtain the first conveyor belt sag d2 at this time. The sag model calculates the coal weight W1 of the coal unit at this time.

[0085] W1 = k·(d2-d1);

[0086] Where k is a constant;

[0087] The second coal unit enters between the two support points (a1, a2), and the interactive units interact to obtain the sag of the second conveyor belt at this time, d3. The sag model calculates the weight W2 of the coal in the coal unit at this time.

[0088] W2 = k·(d3-d2);

[0089] Repeatedly calculate the sag change after each addition of a coal unit, and calculate the coal weight of each coal unit until the conveyor belt is fully loaded.

[0090] In this embodiment, k is a constant. The value of the constant k is calibrated experimentally to determine the weight change caused by each change in sag. Based on this weight change, the weight of coal in each coal unit is determined, thus enabling monitoring of coal weight. Furthermore, coal weight monitoring is implemented during the transportation process to ensure the accuracy of coal weight monitoring.

[0091] The experimental verification process for the constant k is as follows:

[0092] Initial state: Record the initial sag d1 of the conveyor belt when it is unloaded.

[0093] Coal unit of known weight: Place a coal unit of known weight on the conveyor belt and record the sag d2 at this time.

[0094] Calculate the change in sag Δd:

[0095] Δd = d2 - d1;

[0096] Calculate the constant k: Use the known weight P and the change in sag Δd to calculate the constant k.

[0097] k = P / Δd.

[0098] In one embodiment, the method for calculating the weight of coal carried by a coal unit corresponding to the change in conveyor belt sag under full load is as follows:

[0099] The sag status of the conveyor belt is collected using the interaction of the interactive unit as the node, and the change of the sag value of the conveyor belt between the two support points (a1, a2) is determined:

[0100] Get the verticality value D before the interaction of the interactive unit f The verticality value D after interactionb Calculate the change in sag ΔD.

[0101] The sag model calculates the weight W of the coal at this point:

[0102] W = k·ΔD;

[0103] The real-time sag change value is substituted into the sag model to calculate the corresponding coal weight for each coal unit.

[0104] In this embodiment, the coal weight corresponding to each coal unit is calculated under full load conditions. The coal weight corresponding to each coal unit entering between the two support points (a1, a2) and moving out between the two support points (a1, a2) after the conveyor belt is fully loaded is determined. The position of the coal unit is determined so as to accurately calculate the coal loading amount corresponding to the loading task.

[0105] In one embodiment, the sag acquisition device is an image acquisition device, which is installed facing the side of the conveyor belt. The transmitting end and the receiving end of the interactive unit interact to control the image acquisition device to acquire the sag image of the conveyor belt between the two support points (a1, a2), and determine the sag of the conveyor belt based on the two support points (a1, a2) and the sag distance of the conveyor belt.

[0106] In this embodiment, the sag of the conveyor belt is determined by acquiring the changes caused by the pressure of coal on the conveyor belt during the conveying process using an image acquisition device. Since the positions of the two support points are fixed, the sag change can be accurately calculated only by using the sag position and sag distance of the conveyor belt.

[0107] In one embodiment, the sag acquisition device is a pressure unit, which is set between support points (a1, a2) and has a fixed position. The change in conveyor belt sag applies pressure to the monitoring end of the pressure unit. The greater the sag of the conveyor belt, the greater the pressure monitored at the monitoring end of the pressure unit.

[0108] The sag model converts the pressure monitored by the pressure unit into the current sag D. p :

[0109] Record the initial pressure value T1 and initial sag D1 of the conveyor belt when there is no coal;

[0110] The sag model calculates the current sag D. p :

[0111] D p =D1+j·(T-T1);

[0112] Where j is a constant and T is the current pressure value.

[0113] In this embodiment, the value of the constant j is determined by experimentally measuring the pressure change under a known sag. For example:

[0114] Initial sag D1 = 5 cm

[0115] Initial pressure T1 = 5N

[0116] After loading a coal unit with a known sag of 15cm, the pressure value T2 = 15N.

[0117] Pressure change ΔT = 15N - 5N = 10N

[0118] The change in sag ΔD = 15cm - 5cm = 10cm

[0119] Then the value of the constant j is: j = ΔD / ΔT = 10cm / 10N = 1cm / N

[0120] The real-time pressure value is substituted into the formula to calculate the current sag. For example, when the pressure value is T3 = 20N, the current sag D3 is:

[0121] D3=D1+j·(T3-T1)=5cm+1cm / N·(20N-5N)=20cm.

[0122] This method allows for the use of pressure components to monitor pressure and determine the sag of the conveyor belt, thereby enabling the calculation of the weight of the coal unit.

[0123] In one embodiment, the method for the scheduling unit to schedule coal units and matching loading equipment is as follows:

[0124] Define loading tasks: Set the loading task weights R1, R2...Rx for multiple loading devices, where x is the total number of loading devices;

[0125] Obtain the weight of each coal unit: Record the weight ri of each coal unit;

[0126] Algorithm selection optimization: Use optimization algorithms to determine the optimal loading method;

[0127] Achieve automatic scheduling:

[0128] Initialization: Set the current weight of each loading device to 0;

[0129] Circular allocation: Iterate through each coal unit and allocate the coal unit to the appropriate loading equipment according to the selected optimization algorithm;

[0130] Update weight: After each allocation, update the current weight of the corresponding loaded equipment.

[0131] In this embodiment, commonly used optimization algorithms include:

[0132] Greedy algorithm: Each time, select the heaviest coal unit and load it into the lightest loading device.

[0133] Dynamic programming: It uses a two-dimensional array to record the optimal solutions for different loading combinations.

[0134] Branch and bound method: Find the optimal solution by constructing a search tree and then pruning it using bound conditions.

[0135] For example, the greedy algorithm is as follows:

[0136] defgreedy_load(coal_units,load_tasks):

[0137] #Initialize the current weight of the loading equipment

[0138] current_loads=[0]*len(load_tasks)

[0139] # Sort coal units by weight from largest to smallest

[0140] coal_units.sort(reverse=True)

[0141] #Coal Allocation Unit

[0142] for coal in coal_units:

[0143] #Find the lightest loading device currently available

[0144] min_index=current_loads.index(min(current_loads))

[0145] #Distribute coal units to the loading equipment

[0146] current_loads[min_index]+=coal

[0147] return current_loads

[0148] #Example usage

[0149] coal_units = [10, 20, 30, 40, 50]

[0150] load_tasks = [100, 100, 100]

[0151] result=greedy_load(coal_units,load_tasks)

[0152] print(result)

[0153] The greedy algorithm can be used to automatically schedule coal units, ensuring that the workload of each loading device is as balanced as possible.

[0154] In one embodiment, the transport model creates a historical coal transport volume database, divides the historical coal data volume into multiple coverage areas, determines the proportion of historical coal transport volume in each coverage area, and calculates the probability of the coal unit carrying the coal weight coverage area.

[0155] During the optimization algorithm's loading task scheduling process, the weight of coal carried by all coal units located on the conveyor belt is obtained for loading task scheduling.

[0156] In this embodiment, by predicting the probability of coal weight appearing in a coal unit, it is possible to analyze the scheduling problem of coal units before the sag calculation is performed to determine the coal weight in the coal unit, thereby enabling the selection of a better coal unit corresponding to the coal weight for loading.

[0157] In summary, the technical solutions disclosed in the above embodiments of the present invention have at least the following advantages:

[0158] 1. During the conveying process, the present invention obtains the changes in the shape of the conveyor belt, determines the amount of coal conveyed by the conveyor belt based on the changes in shape, and determines the loading equipment corresponding to each loading of the conveyor belt based on the amount of coal required for each loading task. The accurate loading amount of each loading equipment is obtained by calculation to avoid excessive differences in loading amount.

[0159] 2. Determine the loading task at the control end. During the loading process, determine the amount of coal conveyed between each conveying node in the conveying system. During the loading process, determine the weight entering each loading device based on the amount of coal conveyed. Based on the changes in the amount of coal conveyed between each conveying node, determine the loading device that matches it.

[0160] 3. During the conveying process, multiple interactive identification units are set up inside the conveyor belt of the conveyor system. The interactive units are used to determine the conveying nodes in the conveyor belt. The weight of the coal loaded inside the conveyor belt varies, and the amount of coal conveyed is determined according to the state of the conveyor belt.

[0161] 4. Statistically analyze historical coal transport volumes to obtain the frequency of occurrence of different historical coal transport volumes. Predict the coal transport volume based on the frequency of occurrence of historical coal transport volumes, and determine the amount of coal entering the loading equipment each time based on the frequency of occurrence of historical coal volumes, so that the amount of coal loaded can better match the set loading task.

[0162] Although the present invention has been disclosed in conjunction with the above embodiments, it is not intended to limit the present invention. Any person skilled in the art can make various modifications and refinements without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention should be defined by the appended claims.

Claims

1. An intelligent conveying system, characterized in that, include: The conveying unit is driven by a drive unit. The surface of the conveying unit carries coal and changes the sinking state of the conveyor belt based on the weight of the coal. Interactive units are used to mark the conveyor nodes of the conveyor belt. The conveyor nodes are spaced at the same interval. The coal carried by the conveyor belt between two adjacent conveyor nodes is a coal unit. The interactive units interactively determine the position of each coal unit. The coal metering unit obtains the shape of the conveyor belt and determines the coal conveying volume of each coal unit based on the shape change of the conveyor belt corresponding to each coal unit. The scheduling unit determines the conveying position of the loading equipment corresponding to each coal unit according to the loading task, calculates the amount of coal required for each loading task, and determines the conveying of the coal unit according to the remaining loading amount of the loading task. The scheduling unit also sets up a conveying model for calculating historical coal conveying volume. The conveying model determines the amount of coal conveyed into the conveying unit based on historical coal conveying volume data. The control terminal is used to set the corresponding loading tasks for each loading device, monitor the loading progress in real time, and manage the coal inventory. Coal metering units include: Sag acquisition equipment monitors the conveyor belt's conveying status and the changes in its sag. The data processing module processes the sag change data and extracts the sag values ​​of the conveyor belt at different positions. The sag model is established based on the support points a1 and a2 at both ends of the conveyor belt. It determines the initial sag of the conveyor belt during the no-load process and calculates the coal weight corresponding to each coal unit based on the change of the conveyor belt sag value during the coal transportation process. The calculation method for the weight of coal carried by a coal unit corresponding to the change in conveyor belt sag from unloaded to fully loaded is as follows: The sag acquisition device obtains the unloaded state of the conveyor belt and records the initial sag of the conveyor belt through the data processing module. d 1 ; The first coal unit enters between the two support points a1 and a2, and the interactive units interact to obtain the first conveyor belt sag at this time. d 2 The sag model calculates the weight of the coal unit at this time. W 1 : W 1 =k⋅(d 2 -d 1 ） ； in, k It is a constant; The second coal unit enters between the two support points a1 and a2, and the interactive unit interacts to obtain the sag of the second conveyor belt at this time. d 3 The sag model calculates the weight of the coal unit at this time. W 2 : W 2 =k⋅(d 3 -d 2 ） ； Repeatedly calculate the sag change after each addition of a coal unit, and calculate the coal weight of each coal unit until the conveyor belt is fully loaded.

2. The intelligent conveying system according to claim 1, characterized in that, The interaction unit includes multiple photoelectric sensor transmitters or receivers evenly installed on the inner side of the conveyor belt, at least one photoelectric sensor receiver or transmitter, and a metering module. The multiple photoelectric sensor transmitters or receivers correspond to at least one photoelectric sensor receiver or transmitter. The metering module acquires the received signal from the photoelectric sensor receiver and measures the number of interactions between the photoelectric sensor transmitter and receiver.

3. The intelligent conveying system according to claim 2, characterized in that, The interaction unit also includes a transmission module that interacts with the drive unit. The transmission module obtains the drive parameters of the drive unit and determines the conveyor belt speed through the drive parameters. The metering module interacts with the transmission module to calibrate the conveyor nodes. The transmitter and receiver are set at an angle to correspond.

4. The intelligent conveying system according to claim 3, characterized in that, The method for calculating the weight of coal carried by a coal unit corresponding to the change in conveyor belt sag under full load is as follows: The sag status of the conveyor belt is collected using the interaction of the interactive unit as the node, and the change in the sag value of the conveyor belt between the two support points a1 and a2 is determined: Get the verticality value of the interactive unit before interaction. D f Verticality value after interaction D b Calculate the change in sag ΔD ; The sag model calculates the weight of coal at this point. W : W=k⋅ΔD ； The real-time sag change value is substituted into the sag model to calculate the corresponding coal weight for each coal unit.

5. The intelligent conveying system according to claim 4, characterized in that, The sag acquisition device is an image acquisition device, which is installed facing the side of the conveyor belt. The transmitting end and receiving end of the interactive unit interact to control the image acquisition device to acquire the sag image of the conveyor belt between the two support points a1 and a2. The sag of the conveyor belt is determined based on the two support points a1 and a2 and the sag distance of the conveyor belt.

6. The intelligent conveying system according to claim 4, characterized in that, The sag acquisition device is a pressure unit. The pressure unit is set between support points a1 and a2 and its position is fixed. The change in the sag of the conveyor belt applies pressure to the monitoring end of the pressure unit. The greater the sag of the conveyor belt, the greater the pressure monitored at the monitoring end of the pressure unit. The sag model converts the pressure monitored by the pressure unit into the current sag. D p : Record the initial pressure value of the conveyor belt when there is no coal. T 1 and initial verticality D 1 ; The sag model calculates the current sag. D p : D p =D 1 +j⋅(TT 1 ） ； in, j It is a constant. T This represents the current pressure value.

7. The intelligent conveying system according to any one of claims 5-6, characterized in that, The method for matching coal units with loading equipment by the dispatching unit is as follows: Define loading tasks: Set the loading task weights R1, R2...Rx for multiple loading devices, where x is the total number of loading devices; Obtain the weight of each coal unit: Record the weight ri of each coal unit; Algorithm selection optimization: Use optimization algorithms to determine the optimal loading method; Automatic scheduling initialization: Set the current weight of each loading device to 0; Circular allocation: Iterate through each coal unit and allocate the coal unit to the appropriate loading equipment according to the selected optimization algorithm; Update weight: After each allocation, update the current weight of the corresponding loaded equipment.

8. The intelligent conveying system according to claim 7, characterized in that, The transport model creates a historical coal transport volume database, divides the historical coal transport volume into multiple coverage areas, determines the proportion of historical coal transport volume in each coverage area, and calculates the probability of the coal unit carrying the coal weight within the coverage area. During the optimization algorithm's loading task scheduling process, the weight of coal carried by all coal units located on the conveyor belt is obtained for loading task scheduling.

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