CN112299049A - Intelligent loading control system and method - Google Patents
Intelligent loading control system and method Download PDFInfo
- Publication number
- CN112299049A CN112299049A CN202011264125.7A CN202011264125A CN112299049A CN 112299049 A CN112299049 A CN 112299049A CN 202011264125 A CN202011264125 A CN 202011264125A CN 112299049 A CN112299049 A CN 112299049A
- Authority
- CN
- China
- Prior art keywords
- data
- vehicle
- blanking
- weight
- bin
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G67/00—Loading or unloading vehicles
- B65G67/02—Loading or unloading land vehicles
- B65G67/04—Loading land vehicles
- B65G67/06—Feeding articles or materials from bunkers or tunnels
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G69/00—Auxiliary measures taken, or devices used, in connection with loading or unloading
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Aviation & Aerospace Engineering (AREA)
Abstract
The invention discloses an intelligent loading control system and method. The system comprises: the system comprises a plurality of information identification subsystems, an automatic weighing subsystem, an AI vision identification subsystem and a control processor; the accurate positioning of the parking position and the blanking position of the transport vehicle and the accurate measurement of the blanking weight can be realized, and the unmanned, intelligent and scene loading is realized; the blanking speed can be improved, the continuity of automatic blanking is ensured, the blanking time is controllable, and the blanking precision and the loading full load rate are improved.
Description
Technical Field
The invention relates to the technical field of automatic control, in particular to an intelligent loading control system and method.
Background
In the current loading control of coal mines, the identification of transport vehicles, bill of lading and the like is needed at an entrance, the weighing of the vehicles is carried out at a designated position, and then the vehicles are loaded in a designated coal bunker; after the loading is finished, the weighing and checking of the vehicle are carried out at the designated position, then the identification of the transport vehicle, the bill of lading and the like is carried out again at the outlet, and the checking of weighing data and the printing of the bill are carried out.
Because each weighing and checking link in the loading control of the current coal mine, and links such as batching and blanking in the loading process need to be manually attended, only semi-automatic loading control can be realized, and unattended, intelligent and remote control cannot be completely realized. The working environment of the coal mine is severe, and the existing semi-automatic loading control causes more required personnel and large labor intensity of the personnel. Under the condition of high concentration of labor, operators are particularly easy to have the defects of uneven material loading, material scattering, overload and the like caused by human negligence or misoperation, and the defects caused by other human factors affect the loading efficiency, and further affect the coal mine selling and transporting efficiency and the coal mine production efficiency.
The existing semi-automatic loading control mode cannot meet the requirement of real-time feedback because the detection technology and the sensor technology are not accurate enough. If equipment related to the loading process is stopped due to faults, timely feedback cannot be obtained, the problems of low loading efficiency, loading delay and the like are caused, and even serious economic loss can be caused.
Disclosure of Invention
The invention aims to provide an intelligent loading control system and method aiming at the technical problems in the prior art, which can realize unattended intelligent weighing and intelligent loading, save labor cost, avoid the defects caused by human factors, improve loading efficiency and further improve coal mine sale and delivery efficiency and coal mine production efficiency.
In order to achieve the above object, the present invention provides an intelligent loading control system, which comprises: the system comprises a plurality of information identification subsystems, an automatic weighing subsystem, an AI vision identification subsystem and a control processor; the plurality of information identification subsystems are respectively arranged at an inlet, a weight house and an outlet of the material area and used for identifying the electronic lifting bill to obtain first electronic lifting bill data, identifying the vehicle number and the vehicle type of the transport vehicle to obtain first vehicle information data and outputting the obtained data to the control processor, wherein the first electronic lifting bill data comprises a customer name, a material type and a material weight; the automatic weighing subsystem is arranged in the weight house and is used for carrying out empty vehicle weighing on the transport vehicle to obtain first empty vehicle weight, carrying out load weighing on the transport vehicle to obtain load weight, and outputting the obtained data to the control processor; the AI visual identification subsystem is arranged in a target material bin and is used for acquiring real-time blanking data and outputting the real-time blanking data to the control processor, wherein the real-time blanking data comprises three-dimensional space data of a carriage of the transport vehicle, real-time three-dimensional data of coal in the carriage and real-time position data of a chute in the material bin; the control processor is used for sending a first control signal to indicate the transport vehicle to load the target material bin according to the first electronic material lifting list data and the first vehicle information data, sending a second control signal to control the discharging of the target material bin according to the first vehicle information data, the first empty vehicle weight and the real-time discharging data, and checking the load weight according to the first electronic material lifting list data, the first vehicle information data and the first empty vehicle weight.
In order to realize the aim, the invention also provides an intelligent loading control method, which adopts the intelligent loading control system; the method comprises the following steps: s1, adopting information identification subsystems respectively arranged at an inlet, a weight house and an outlet of the material area to identify the electronic lifting bill to obtain first electronic lifting bill data, identifying the number of a transport vehicle and the type of the transport vehicle to obtain first vehicle information data, and outputting the obtained data to the control processor, wherein the first electronic lifting bill data comprises a customer name, a material type and a material weight; s2, adopting an automatic weighing subsystem arranged in the weight house to carry out empty weighing on the transport vehicle to obtain first empty vehicle weight, carrying out load weighing on the transport vehicle to obtain load weight, and outputting the obtained data to the control processor; s3, acquiring real-time blanking data by adopting an AI visual identification subsystem arranged in a target material bin and outputting the real-time blanking data to the control processor, wherein the real-time blanking data comprises three-dimensional space data of a carriage of the transport vehicle, real-time three-dimensional data of coal in the carriage and real-time position data of a chute in the material bin; s4, sending a first control signal to indicate the transport vehicle to load the target material bin according to the first electronic lifting bill data and the first vehicle information data by adopting the control processor, sending a second control signal to control the discharging of the target material bin according to the first vehicle information data, the first empty vehicle weight and the real-time discharging data, and checking the load weight according to the first electronic lifting bill data, the first vehicle information data and the first empty vehicle weight.
The invention has the advantages that: the intelligent loading control system can realize the accurate positioning of the parking position and the blanking position of the transport vehicle, the accurate measurement of the blanking weight and the unmanned, intelligent and scene loading; and the material scattering, the inclined loading and the overrun of the loading can be avoided, and the leveling and the uniformity of the loading are realized. The blanking speed can be improved, the continuity of automatic blanking is ensured, the blanking time is controllable, and the blanking precision and the loading full load rate are improved. The full-chain full-flow digitalization, the synergy and the high efficiency are realized, the online commodity and the online order are realized, and the labor cost and the production cost are effectively reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of the architecture of an intelligent loading control system of the present invention;
FIG. 2 is a structural diagram of an embodiment of intelligent loading of a coal mine quantitative bin by using the intelligent loading control system of the invention;
FIG. 3 is a structural diagram of an embodiment of intelligent loading without a quantitative bin in a coal mine by using the intelligent loading control system of the invention;
fig. 4 is a schematic flow chart of the intelligent loading control method of the invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. The terms "first," "second," "third," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the objects so described are interchangeable under appropriate circumstances. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover a non-exclusive inclusion. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise. In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; may be mechanically connected, may be electrically connected or may be in communication with each other; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to fig. 1, a schematic diagram of an intelligent loading control system according to the present invention is shown. The intelligent loading control system 10 includes: a plurality of information recognition subsystems 11, an automatic weighing subsystem 12, an AI visual recognition subsystem 13, and a control processor 14.
The information identification subsystems 11 are respectively arranged at an inlet, a weight house and an outlet of the material area, and are used for identifying the electronic bill of lading to obtain first data of the electronic bill of lading, identifying the vehicle number and the vehicle type of the transport vehicle to obtain first vehicle information data, and outputting the obtained data to the control processor 14. The first electronic bill of lading materials data comprises a customer name, a material type and a material weight.
The automatic weighing subsystem 12 is disposed in the weight house, and is configured to empty the transport vehicle to obtain a first empty vehicle weight, load the transport vehicle to obtain a load weight, and output the obtained data to the control processor 14.
The AI visual identification subsystem 13 is disposed in the target material bin, and is configured to acquire real-time blanking data and output the real-time blanking data to the control processor 14. The real-time blanking data comprises three-dimensional space data of a carriage of the transport vehicle, real-time three-dimensional data of coal in the carriage and real-time position data of a chute in the material bin.
The control processor 14 is configured to send a first control signal according to the first electronic bill of lading data and the first vehicle information data to instruct the transport vehicle to load into the target material bin; the control processor 14 is further configured to send a second control signal to control the discharging of the target material bin according to the first vehicle information data, the first empty vehicle weight and the real-time discharging data; and the control processor 14 is further configured to verify the load weight according to the first electronic bill of lading data, the first vehicle information data and the first empty vehicle weight. The control processor 14 can configure various parameter schemes such as different widths of the chute of the feed opening, different heights of the chute, different left offsets of the chute, different right offsets of the chute, different blanking weights, different material supplementing weights and the like according to different vehicle types, different axles, different carriages, different vehicle loads, different positions and the like, so as to accurately load the vehicle. The control processor 14 may include a Programmable Logic Controller (PLC) and a processor.
In a further embodiment, the control processor 14 is further configured to obtain original electronic bill of lading data of an electronic bill of lading generated based on the order information and sent to the customer, so as to verify the first electronic bill of lading data; and the system is used for acquiring original vehicle information data of the transport vehicle assigned by the customer based on the electronic bill of lading for verifying the first vehicle information data.
In a further embodiment, the information identification subsystem 11 comprises: a scanning device 111, a face recognition device 112, and a vehicle recognition device 113. The scanning device 111 is configured to scan and identify the electronic bill of lading and the identity document of the driver of the transport vehicle, acquire and output first electronic bill of lading data and identity document data. The face recognition device 112 is configured to perform face recognition on the driver, acquire face data, and output the face data. The vehicle identification device 113 is used for identifying the vehicle number and the vehicle type of the transportation vehicle so as to identify and output first vehicle information data. The control processor 14 further performs data matching degree verification on the identified first electronic bill of lading data, identity document data, face data and first vehicle information data.
In a further embodiment, the target material bin is a quantitative bin; the automatic weighing subsystem 12 further includes a weighing sensor 121 (indicated by a dashed box in the figure as an optional component) disposed in the quantitative bin, and configured to obtain a real-time weight of a first material discharged from the quantitative bin to the transport vehicle, and feed the real-time weight back to the control processor 14. And the control processor 14 acquires the opening time and opening size of the gate plate of the quantitative bin by adopting a pre-established batching mathematical model according to the real-time weight of the first material blanking so as to control the blanking precision of the quantitative bin. Specifically, by analyzing the batching process, the relation between the opening time of the gate plate, the opening size of the gate plate and the blanking weight of the material can be obtained, and a batching mathematical model is established and the key parameters of the batching mathematical model are set according to the relation; and the automatic and accurate batching of the quantitative bin can be realized according to the batching mathematical model and the real-time weight of the blanking of the material.
In a further embodiment, the control processor 14 is further configured to send a third control signal to control a buffer bin disposed above the quantitative bin to perform blanking according to the first electronic bill of lading data, the first vehicle information data, and the first empty vehicle weight; and judging whether the batching of the quantitative bin is lack of load or overloaded according to the real-time weight of the second material fed back by the weighing sensor 121 and fed to the quantitative bin. The control processor 14 further controls the buffer bin to feed the quantitative bin when the quantitative bin is determined to be under-loaded. The control processor 14 further controls the quantitative bin to perform material buckling by controlling the opening/closing time and the opening size of the gate plate of the quantitative bin when determining that the quantitative bin is overloaded. Namely, the system can judge whether the material shortage or overload of the dosing bin occurs, and can realize automatic material supplement/material buckling after calculating specific numerical values, so that the dosing precision requirement is met.
In a further embodiment, the oil cylinder connected with the gate plate of the quantitative bin adopts a servo oil cylinder with a displacement sensor so as to drive and control the size of the opening of the gate plate of the quantitative bin according to a control signal of the control processor. Through adopting the servo cylinder of taking displacement sensor to replace present ordinary hydro-cylinder, can realize the opening size of the flashboard in accurate control ration storehouse, guarantee the precision of unloading, knot material.
In a further embodiment, the target material bin is a non-quantitative bin; the automatic weighing subsystem 12 further includes a weighing scale 122 (shown by a dashed box as an optional component) disposed in the non-quantitative bin, and configured to weigh an empty vehicle of the transport vehicle to obtain a second empty vehicle weight and output the second empty vehicle weight to the control processor 14, and obtain a third material blanking real-time weight of the non-quantitative bin blanking to the transport vehicle, and feed the third material blanking real-time weight back to the control processor 14. The control processor 14 checks the weight of the first empty vehicle according to the weight of the second empty vehicle, and acquires the opening time and opening size of the gate plate of the quantitative-free bin by adopting a pre-established batching mathematical model according to the real-time weight of blanking of the third material so as to control the blanking precision of the quantitative-free bin. Specifically, by analyzing the batching process, the relation between the opening time of the gate plate, the opening size of the gate plate and the blanking weight of the material can be obtained, and a batching mathematical model is established and the key parameters of the batching mathematical model are set according to the relation; and then, automatic and accurate batching without a quantitative bin can be realized according to the batching mathematical model and the real-time weight of material blanking. The control processor 14 checks the weight of the first empty vehicle according to the weight of the second empty vehicle, so that a driver can be prevented from adopting cheating behaviors such as water drainage, man getting off and the like from a weight house to a target material bin, and the weight of the second empty vehicle of the transport vehicle is smaller than the weight of the first empty vehicle.
In a further embodiment, the system further comprises a laser correlation positioning sensor 15, which is used for positioning the parking position of the transport vehicle running to the target material bin and sending a positioning signal to the control processor 14. The control processor 14 further indicates a target parking position of the transport vehicle according to the positioning signal and the chute position of the target material bin. When the transport vehicle runs to the position below the chute of the target material bin, the laser correlation positioning sensor 15 positions the parking position and sends a positioning signal; the control processor 14 can send out prompt information according to the positioning signal and the chute position to indicate the accurate parking position of the driver. The control processor 14 then controls the chute to move to the corresponding height, so that the chute extends into the carriage for blanking.
In a further embodiment, the AI visual recognition subsystem 13 includes: a camera 131 and an AI vision processing module 132. The camera 131 is used for collecting three-dimensional space data of a carriage of the transport vehicle, real-time three-dimensional data of coal in the carriage and real-time position data of a chute. The AI vision processing module 132 is configured to correct and optimize the data collected by the camera 131, and then transmit the data to the control processor 14. The control processor 14 further adjusts the blanking amount of the target material bin according to the three-dimensional spatial data of the carriage, and adjusts the position relationship of the transport vehicle relative to the chute according to the real-time three-dimensional data of the coal in the carriage and the real-time position data of the chute. The AI vision processing module 132 further includes AI machine vision software and an output module; the AI machine vision software mainly adopts a calibration algorithm to continuously perform internal calibration on the data collected by the camera; the output module is used for outputting the optimized data.
According to the vehicle type recognized by the vehicle recognition equipment, the loading tonnage can be determined; the length, width and height of the carriage are recognized through an AI vision recognition subsystem, the vehicle type is judged in an auxiliary mode, the blanking amount of the target material bin is adjusted, and the accuracy of batching is ensured. And after the chute is adjusted to the target position and starts to feed, further adjusting the position relation of the transport vehicle relative to the chute according to the real-time three-dimensional data of the coal in the carriage and the real-time position data of the chute. Specifically, when the height of the coal in the carriage reaches a certain height (for example, a preset height smaller than the height of the carriage) in the real-time three-dimensional data of the coal, the control processor 14 controls the shutter to close and stop discharging; after the relative position relation between the transport vehicle and the chute is changed, the blanking is continued; after the blanking is finished, the gate plate opening is closed, the relative position of the chute and the transport vehicle can be identified through the AI vision identification subsystem 13, the chute is controlled to ascend through the control processor 14, the chute is prevented from colliding with a carriage of the transport vehicle, and the process of unmanned loading is finished. The relative position relationship between the transport vehicle and the chute is changed, and the relative position relationship between the transport vehicle and the chute can be changed by driving the vehicle to move by a driver; or by controlling the movement of the chute to change the relative positional relationship of the transport vehicle and the chute.
The intelligent loading control system can realize the accurate positioning of the parking position and the blanking position of the transport vehicle, the accurate measurement of the blanking weight and the unmanned, intelligent and scene loading; and the material scattering, the inclined loading and the overrun of the loading can be avoided, and the leveling and the uniformity of the loading are realized. The blanking speed can be improved, the continuity of automatic blanking is ensured, the blanking time is controllable, and the blanking precision and the loading full load rate are improved. The automatic control system realizes automation and unmanned and accurate control of the loading process of goods, improves the operation precision, and can reduce the labor intensity of operators and simplify the number of the operators.
In a further embodiment, the system further comprises a conveyor belt automatic feeding subsystem 16 and a remote control center 17. The automatic conveyer belt feeding subsystem 16 is used for monitoring and acquiring feeding data of a conveyer belt for conveying materials to the material bin, and transmitting the feeding data to the remote control center 17 through remote communication; the feeding data comprise feeding starting time, feeding ending time, feeding types and feeding total amount. The control processor 14 further transmits the blanking data blanked to the transport vehicle to the remote control center 17 through remote communication; the blanking data comprises blanking starting time, blanking ending time, blanking types and blanking total amount. The remote control center 17 updates material inventory data in real time according to the loading data, acquires excess materials of the material bin according to the loading data and the ascending unloading data, and controls the automatic loading subsystem of the conveying belt to convey the materials to the material bin when the excess materials are lower than a preset range.
By monitoring the feeding data (namely production data) of the feeding link, the feeding accuracy and the loading continuity are guaranteed. After loading is finished, surplus materials of the material bin are obtained according to the loading data and the unloading data, and when the surplus materials are lower than a preset range, the automatic loading subsystem of the conveying belt is controlled to convey the materials to the material bin, so that the surplus materials are controlled within a specified range according to different kinds of goods. Meanwhile, according to each collected feeding data, the material inventory data can be updated in real time, and an intelligent warehouse is realized. The upper computer system can check the material level, the number of loaded vehicles, the loading amount, the material conveying condition and the like of the material bin in real time; when loading interruption occurs or the material level of the material bin reaches the limit, the control processor can send an alarm to remind the upper computer system to take corresponding operation; the abnormity monitoring and early warning are realized in the feeding process and the discharging process.
In a further embodiment, the system further includes a voice broadcast subsystem (not shown) for implementing real-time two-way voice communication between the driver, the relevant responsible person and the system, thereby implementing online and intelligent service.
In a further embodiment, the system further comprises a visual remote control subsystem, and scene remote control loading is achieved. Specifically, Siemens S7-300PLC control module + HJ8500 remote communication module +4G/5G camera shooting transmission equipment can be adopted to transmit the scene and data on site back to a remote control terminal in real time, and intelligent loading with remote control, automation and scene visualization can be realized. Meanwhile, video equipment can be provided on the loading site to display real-time videos of the feed opening and the carriage and real-time loading data, so that a driver can see the real-time video loading condition from a screen, the vehicle speed and the parking position in the loading process can be controlled, and accurate loading is realized.
In a further embodiment, the system further comprises an equipment online monitoring subsystem, which is used for realizing online, intelligent monitoring and intelligent routing inspection of the equipment. Specifically, abnormal events such as no load, overload, deviation, stacking, foreign matters, three violations of personnel and the like of a conveyer belt are intelligently monitored and early warned by means of sensing of the Internet of things and artificial intelligent analysis; the working strength of field personnel is reduced, the abnormal real-time performance of the transportation process is improved, and the machine halt and blockage caused by safety accidents and equipment faults are reduced. The problems of irrelevant signals of the material bin, no opening signal, breakage of a flashboard shaft pin and the like during loading operation can be monitored; the function of forbidding loading can be added in due time in the operation process. The functions of intelligent monitoring of abnormal problems of the conveying belt, abnormal handling closed-loop management, intelligent decision making of production and management and the like are achieved, and the effects of abnormal quick positioning and emergency linkage of equipment are achieved.
Referring to fig. 2, a structural diagram of an embodiment of intelligent loading of a coal mine quantitative bin by using the intelligent loading control system of the present invention is shown. The coal mine quantitative bin intelligent loading solution of the embodiment is described in detail with reference to fig. 2.
Step one, issuing an electronic material lifting list/a client reservation electronic material lifting list by a coal mine: the method comprises the steps that electronic material sheets are issued to coal mine clients (1 electronic material sheet represents 1 vehicle) based on client data (client name, contract, surplus and the like) of a transportation and marketing management platform of the system; or the coal mine client applies the electronic material lifting list to the coal mine, the application is audited in the aspect of the coal mine, and the electronic material lifting list is sent to the client after the audit is passed. The operation and marketing management platform is used for managing basic data such as electronic material sheets. The electronic bill of lading includes the data: customer name, material type, material weight; the electronic material lifting sheet can be provided with identification codes such as two-dimensional codes or bar codes and the like for identification.
Secondly, the customer assigns an electronic bill of lading to the driver: and dispatching the authenticated drivers by the clients of the coal mine based on the electronic material-lifting bill issued by the coal mine.
Step three, remote intelligent queuing and intelligent number calling: when a driver obtains an electronic material lifting list assigned by a client, a system background (logistics management platform) issues a reserved queuing number to the driver (for example, pushing the reserved queuing number to a driver mobile phone end) according to the position of the driver and the current vehicle queuing information signed in by a coal mine. For example: you are in XX, and the front of the people is provided with XX vehicles which are in line and loaded in XX storage. When the transport vehicle drives into the electronic fence set in the coal mine, if the transport vehicle is identified as a vehicle with a reserved queuing number, the transport vehicle is issued with an accurate queuing number at the first time and is listed into an intelligent queuing number queue. The electronic fence is a virtual defined area.
Fourthly, automatically entering the door without the help of people: when the vehicle runs to an entrance, a driver scans an electronic material lifting list identification code/driver identity card, a license plate number is automatically identified by license plate identification equipment, and face data is identified by face identification equipment; and the identified data are submitted to a control processor together for verifying the person, the vehicle, the certificate and the electronic bill of lading. After the verification is successful, the rod is automatically lifted to enter the door, and according to vehicle data, the coal type of the electronic material lifting list and the loading condition of each coal bunker at present, drivers are intelligently allocated and prompted to weigh the pounds at number XX and load the coal in the number XX bunker. The vehicle data comprises the vehicle type, compartment data, axle data and rated load capacity.
Fifthly, automatically passing the skin in an unattended manner in the pound room: when the vehicle runs to a pound room to pound, a driver scans an electronic material lifting list identification code/identity card, a license plate identification device automatically identifies a license plate number and face data of a face identification device; and the identified data are submitted to a control processor together, and the person, the vehicle, the certificate and the electronic bill of lading are verified. And automatically passing the skin after the verification is successful, prompting the successful weighing and the tare weight (empty vehicle weight) by voice, and intelligently allocating and prompting a driver to load the coal bunker XX by voice according to the vehicle type, the carriage, the axle, the rated load capacity, the data of the electronic material lifting list and the current loading condition of each coal bunker.
Sixthly, intelligent loading: when the vehicle runs to a designated coal bunker inlet, a driver scans an electronic material lifting list identification code/identification card, a license plate number is automatically identified by license plate identification equipment, and face data is identified by face identification equipment; the recognized data are submitted to a control processor together, and data such as people, vehicles, certificates, electronic material lists, coal bunker numbers and the like are subjected to high-matching automatic verification. And (5) automatically lifting the rod and loading the rod into the bin for loading after successful verification. Meanwhile, the control processor sends out an instruction according to data such as the rated load capacity of the vehicle, so that the buffer bin 21 is used for batching, the materials are automatically and quantitatively fed to the quantitative bin 22 through a weighing sensor of the quantitative bin 22, and the weight of the materials in the quantitative bin is the weight of the vehicle to be loaded. When a vehicle runs to the position below the chute 23 of the quantifying bin 22, the parking position of the vehicle is positioned by a laser correlation positioning sensor, and a positioning signal is sent out; and the control processor reminds a driver of an accurate parking position according to the positioning signal and the chute position. After the vehicle is parked in place, the chute 23 extends into the carriage and starts to feed; an AI visual identification subsystem (which can be arranged at the chute position) is adopted to identify the height of the carriage, the chute position and the real-time blanking condition, so that the accurate blanking is ensured. After the blanking is carried out to a certain height, the flashboard is closed, a driver is prompted to slowly move forward, and then the blanking is continued; meanwhile, a driver can check the real-time blanking condition through a screen video in front of the vehicle head. After the quantitative bin is fed, after the AI vision identification subsystem identifies the relative position of the chute and the carriage, the control processor issues an instruction to close the gate and lift the loading chute, so as to avoid the chute colliding with the carriage of the automobile. The loading can be further prompted by voice to finish, the rod is automatically lifted, and the process of unmanned loading is completed.
Seventhly, automatically checking whether the current time is too heavy under unattended operation: when the vehicle arrives at a pound room, the license plate recognition equipment automatically recognizes the license plate number; the control processor automatically judges whether all the processes are normal and weighing data are complete before the vehicle leaves a factory according to the identification record of the vehicle in each link; if all of the procedures have been completed, the weight scale is automatically verified. After the weight scale is successfully verified, the rod is automatically lifted and the weight scale is automatically lifted.
Eighth step, unattended going out/automatic ticketing: when the vehicle arrives at an exit and is ready to be discharged, the license plate recognition equipment automatically recognizes the license plate number/scans the electronic lifting bill recognition code; the control processor automatically judges whether all the processes are normal and weighing data are complete before the vehicle leaves a factory according to the identification record of the vehicle in each link; and if all the processes are finished, automatically lifting the rod and going out after the verification is finished. If the ticket printing equipment is placed in an exit door house, the system can control automatic printing of the weighing ticket, the coal pipe ticket and the electronic material lifting ticket, and close association of the three tickets can be checked; and each vehicle weighing data is automatically uploaded to a coal bureau supervision platform, and meanwhile, the automatic continuous transmission of the broken network is supported, so that one cycle is completed. If the ticket printing equipment is placed outside the door house, a driver scans the electronic lifting bill identification code and automatically prints a weighing bill, a coal pipe ticket and an electronic lifting bill to ensure that the close association of the three tickets can be checked; and each vehicle weighing data is automatically uploaded to a coal bureau supervision platform, and meanwhile, the automatic continuous transmission of the broken network is supported, so that one cycle is completed.
Wherein, a conveyer belt automatic feeding subsystem is adopted to monitor and obtain the feeding data of a conveyer belt 29 for transporting materials from the raw material bin 20 to the buffer bin 21, and the feeding data is transmitted to a remote control center through remote communication; the feeding data comprise feeding starting time, feeding ending time, feeding types and feeding total amount. The control processor further transmits the blanking data blanked to the transport vehicle to a remote control center through remote communication; the blanking data comprises blanking starting time, blanking ending time, blanking types and blanking total amount. The remote control center updates material inventory data in real time according to the loading data, acquires excess materials of the material bin according to the loading data and the ascending unloading data, and controls the automatic feeding subsystem of the conveying belt to convey the materials to the buffer bin 21 when the excess materials are lower than a preset range.
The intelligent loading control system can realize the accurate positioning of the parking position and the blanking position of the transport vehicle, the accurate measurement of the blanking weight and the unmanned, intelligent and scene loading; and the material scattering, the inclined loading and the overrun of the loading can be avoided, and the leveling and the uniformity of the loading are realized. The blanking speed can be improved, the continuity of automatic blanking is ensured, the blanking time is controllable, and the blanking precision and the loading full load rate are improved. The full-chain full-flow digitalization, the synergy and the high efficiency are realized, the online commodity and the online order are realized, and the labor cost and the production cost are effectively reduced.
Referring to fig. 3, a structure diagram of an intelligent loading control system for coal mine without quantitative bin is shown. The coal mine intelligent loading solution without the quantitative bin is described in detail with reference to fig. 3.
Step one, issuing an electronic material lifting list/a client reservation electronic material lifting list by a coal mine: the method comprises the steps that electronic material sheets are issued to coal mine clients (1 electronic material sheet represents 1 vehicle) based on client data (client name, contract, surplus and the like) of a transportation and marketing management platform of the system; or the coal mine client applies the electronic material lifting list to the coal mine, the application is audited in the aspect of the coal mine, and the electronic material lifting list is sent to the client after the audit is passed. The operation and marketing management platform is used for managing basic data such as electronic material sheets. The electronic bill of lading includes the data: customer name, material type, material weight; the electronic material lifting sheet can be provided with identification codes such as two-dimensional codes or bar codes and the like for identification.
Secondly, the customer assigns an electronic bill of lading to the driver: and dispatching the authenticated drivers by the clients of the coal mine based on the electronic material-lifting bill issued by the coal mine.
Step three, remote intelligent queuing and intelligent number calling: when a driver obtains an electronic material lifting list assigned by a client, a system background (logistics management platform) issues a reserved queuing number to the driver (for example, pushing the reserved queuing number to a driver mobile phone end) according to the position of the driver and the current vehicle queuing information signed in by a coal mine. For example: you are in XX, and the front of the people is provided with XX vehicles which are in line and loaded in XX storage. When the transport vehicle drives into the electronic fence set in the coal mine, if the transport vehicle is identified as a vehicle with a reserved queuing number, the transport vehicle is issued with an accurate queuing number at the first time and is listed into an intelligent queuing number queue. The electronic fence is a virtual defined area.
Fourthly, automatically entering the door without the help of people: when the vehicle runs to an entrance, a driver scans an electronic material lifting list identification code/driver identity card, a license plate number is automatically identified by license plate identification equipment, and face data is identified by face identification equipment; and the identified data are submitted to a control processor together for verifying the person, the vehicle, the certificate and the electronic bill of lading. After the verification is successful, the rod is automatically lifted to enter the door, and according to vehicle data, the coal type of the electronic material lifting list and the loading condition of each coal bunker at present, drivers are intelligently allocated and prompted to weigh the pounds at number XX and load the coal in the number XX bunker. The vehicle data comprises the vehicle type, compartment data, axle data and rated load capacity.
Fifthly, automatically passing the skin without an unattended operation: when the vehicle runs to a pound room to pound, a driver scans an electronic material lifting list identification code/identity card, a license plate identification device automatically identifies a license plate number and face data of a face identification device; and the identified data are submitted to a control processor together, and the person, the vehicle, the certificate and the electronic bill of lading are verified. And automatically passing the skin after the verification is successful, prompting the successful weighing and the tare weight (empty vehicle weight) by voice, and intelligently allocating and prompting a driver to load the coal bunker XX by voice according to the vehicle type, the carriage, the axle, the rated load capacity, the data of the electronic material lifting list and the current loading condition of each coal bunker.
Sixthly, intelligent loading: when the vehicle runs to a designated coal bunker inlet, a driver scans an electronic material lifting list identification code/identification card, a license plate number is automatically identified by license plate identification equipment, and face data is identified by face identification equipment; the recognized data are submitted to a control processor together, and data such as people, vehicles, certificates, electronic material lists, coal bunker numbers and the like are subjected to high-matching automatic verification. And (5) automatically lifting the rod and loading the rod into the bin for loading after successful verification. The control processor obtains the initial tare weight of the vehicle when entering the door and the rated load capacity of the vehicle. When a vehicle runs to the position below the chute 32 without the quantifying bin 31, the parking position of the vehicle is positioned by the laser correlation positioning sensor, and a positioning signal is sent out; and the control processor reminds a driver of an accurate parking position according to the positioning signal and the chute position. After the vehicle is parked in place, acquiring the current tare weight of the vehicle by using a weighing electronic scale; the control processor checks the initial tare weight and the current tare weight, and prevents the driver from adopting cheating behaviors such as draining water, getting off people and the like from the pound room to the target material bin. After the skin passing verification is successful, the control processor issues an instruction, the chute extends into the carriage and starts to discharge, and the weight data of the weighing electronic scale is obtained in real time; an AI visual identification subsystem (which can be arranged at the chute position) is adopted to identify the carriage height, the chute position and the real-time blanking condition, so as to ensure accurate blanking. After the blanking is carried out to a certain height, the flashboard is closed, a driver is prompted to slowly move forward, and then the blanking is continued; meanwhile, a driver can check the real-time blanking condition through a screen video in front of the vehicle head. When the acquired weight data of the weighing electronic scale reaches the rated load capacity of the vehicle, the control processor immediately issues an instruction to close the flashboard; after the AI vision identification subsystem identifies the relative position of the chute and the carriage, the control processor issues an instruction to lift the loading chute, so as to avoid the chute colliding with the carriage of the automobile. Can finish the loading by voice prompt, the automatic pole that rises is weighed down, accomplishes the process of unmanned loading.
Seventhly, automatically checking whether the current time is too heavy under unattended operation: when the vehicle arrives at a pound room, the license plate recognition equipment automatically recognizes the license plate number; the control processor automatically judges whether all the processes are normal and weighing data are complete before the vehicle leaves a factory according to the identification record of the vehicle in each link; if all of the procedures have been completed, the weight scale is automatically verified. After the weight scale is successfully verified, the rod is automatically lifted and the weight scale is automatically lifted.
Eighth step, unattended going out/automatic ticketing: when the vehicle arrives at an exit and is ready to be discharged, the license plate recognition equipment automatically recognizes the license plate number/scans the electronic lifting bill recognition code; the control processor automatically judges whether all the processes are normal and weighing data are complete before the vehicle leaves a factory according to the identification record of the vehicle in each link; and if all the processes are finished, automatically lifting the rod and going out after the verification is finished. If the ticket printing equipment is placed in an exit door house, the system can control automatic printing of the weighing ticket, the coal pipe ticket and the electronic material lifting ticket, and close association of the three tickets can be checked; and each vehicle weighing data is automatically uploaded to a coal bureau supervision platform, and meanwhile, the automatic continuous transmission of the broken network is supported, so that one cycle is completed. If the ticket printing equipment is placed outside the door house, a driver scans the electronic lifting bill identification code and automatically prints a weighing bill, a coal pipe ticket and an electronic lifting bill to ensure that the close association of the three tickets can be checked; and each vehicle weighing data is automatically uploaded to a coal bureau supervision platform, and meanwhile, the automatic continuous transmission of the broken network is supported, so that one cycle is completed.
Wherein, a conveyer belt automatic feeding subsystem is adopted to monitor and obtain the feeding data of a conveyer belt 39 for transporting materials from a raw material bin 30 to a non-quantitative bin 31, and the feeding data is transmitted to a remote control center through remote communication; the feeding data comprise feeding starting time, feeding ending time, feeding types and feeding total amount. The control processor further transmits the blanking data blanked to the transport vehicle to a remote control center through remote communication; the blanking data comprises blanking starting time, blanking ending time, blanking types and blanking total amount. And the remote control center updates the material inventory data in real time according to the loading data, acquires the excess material of the material bin according to the loading data and the ascending unloading data, and controls the automatic loading subsystem of the conveying belt to convey the material to the non-quantitative bin 31 when the excess material is lower than a preset range.
The intelligent loading control system can realize the accurate positioning of the parking position and the blanking position of the transport vehicle, the accurate measurement of the blanking weight and the unmanned, intelligent and scene loading; and the material scattering, the inclined loading and the overrun of the loading can be avoided, and the leveling and the uniformity of the loading are realized. The blanking speed can be improved, the continuity of automatic blanking is ensured, the blanking time is controllable, and the blanking precision and the loading full load rate are improved. The full-chain full-flow digitalization, the synergy and the high efficiency are realized, the online commodity and the online order are realized, and the labor cost and the production cost are effectively reduced.
Based on the same invention concept, the invention also provides an intelligent loading control method.
Referring to fig. 4, a flow diagram of an intelligent loading control method according to the present invention is shown. The intelligent loading control method can adopt the intelligent loading control system. The method comprises the following steps: s1, adopting information identification subsystems respectively arranged at an inlet, a weight house and an outlet of the material area to identify the electronic bill of lading to obtain first data of the electronic bill of lading, and identifying the number and the type of the transport vehicle to obtain first vehicle information data, and outputting the obtained data to the control processor; s2, adopting an automatic weighing subsystem arranged in the weight house to carry out empty weighing on the transport vehicle to obtain first empty vehicle weight, carrying out load weighing on the transport vehicle to obtain load weight, and outputting the obtained data to the control processor; s3, acquiring real-time blanking data by adopting an AI visual identification subsystem arranged in the target material bin and outputting the real-time blanking data to the control processor; s4, sending a first control signal to indicate the transport vehicle to load the target material bin according to the first electronic lifting bill data and the first vehicle information data by adopting the control processor, sending a second control signal to control the discharging of the target material bin according to the first vehicle information data, the first empty vehicle weight and the real-time discharging data, and checking the load weight according to the first electronic lifting bill data, the first vehicle information data and the first empty vehicle weight. The first electronic bill of lading materials data comprises a customer name, a material type and a material weight; the real-time blanking data comprises three-dimensional space data of a carriage of the transport vehicle, real-time three-dimensional data of coal in the carriage and real-time position data of a chute in the material bin.
In a further embodiment, the method further comprises: acquiring original electronic bill of lading data of an electronic bill of lading generated based on order information and sent to a customer, so as to verify the first electronic bill of lading data; and acquiring original vehicle information data of the transport vehicle assigned by the customer based on the electronic bill of lading for verifying the first vehicle information data.
In a further embodiment, the step S1 further includes: scanning and identifying the electronic material lifting bill and the identity document of the driver of the transport vehicle, and acquiring and outputting first electronic material lifting bill data and identity document data; carrying out face recognition on the driver, acquiring face data and outputting the face data; identifying the number and the type of the transport vehicle to identify first vehicle information data and output the first vehicle information data; and the control processor is adopted to further carry out data matching degree verification on the identified first electronic bill of material, identity document data, face data and first vehicle information data.
For additional details regarding the method, reference may be made to the above description of system items, which are not repeated herein.
The intelligent loading control method can realize the accurate positioning of the parking position and the blanking position of the transport vehicle, the accurate measurement of the blanking weight and the unmanned, intelligent and scene loading; and the material scattering, the inclined loading and the overrun of the loading can be avoided, and the leveling and the uniformity of the loading are realized. The blanking speed can be improved, the continuity of automatic blanking is ensured, the blanking time is controllable, and the blanking precision and the loading full load rate are improved. The automatic control system realizes automation and unmanned and accurate control of the loading process of goods, improves the operation precision, and can reduce the labor intensity of operators and simplify the number of the operators.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (11)
1. An intelligent loading control system, characterized in that the system comprises: the system comprises a plurality of information identification subsystems, an automatic weighing subsystem, an AI vision identification subsystem and a control processor;
the plurality of information identification subsystems are respectively arranged at an inlet, a weight house and an outlet of the material area and used for identifying the electronic lifting bill to obtain first electronic lifting bill data, identifying the vehicle number and the vehicle type of the transport vehicle to obtain first vehicle information data and outputting the obtained data to the control processor, wherein the first electronic lifting bill data comprises a customer name, a material type and a material weight;
the automatic weighing subsystem is arranged in the weight house and is used for carrying out empty vehicle weighing on the transport vehicle to obtain first empty vehicle weight, carrying out load weighing on the transport vehicle to obtain load weight, and outputting the obtained data to the control processor;
the AI visual identification subsystem is arranged in a target material bin and is used for acquiring real-time blanking data and outputting the real-time blanking data to the control processor, wherein the real-time blanking data comprises three-dimensional space data of a carriage of the transport vehicle, real-time three-dimensional data of coal in the carriage and real-time position data of a chute in the material bin;
the control processor is used for sending a first control signal to indicate the transport vehicle to load the target material bin according to the first electronic material lifting list data and the first vehicle information data, sending a second control signal to control the discharging of the target material bin according to the first vehicle information data, the first empty vehicle weight and the real-time discharging data, and checking the load weight according to the first electronic material lifting list data, the first vehicle information data and the first empty vehicle weight.
2. The system of claim 1,
the control processor is further used for acquiring original electronic bill of lading data of an electronic bill of lading generated based on the order information and sent to the customer, so as to verify the first electronic bill of lading data;
the control processor is further configured to obtain raw vehicle information data of a transportation vehicle assigned by a customer based on the electronic pick-up slip for verification of the first vehicle information data.
3. The system of claim 1, wherein the information identification subsystem comprises:
the scanning equipment is used for scanning, identifying and outputting the electronic material lifting bill and the identity document of the driver of the transport vehicle;
the face recognition equipment is used for carrying out face recognition on the driver and outputting the face recognition;
the vehicle identification equipment is used for identifying the vehicle number and the vehicle type of the transport vehicle so as to identify and output first vehicle information data;
and the control processor further performs data matching degree verification on the identified first electronic bill of material data, identity document data, face data and first vehicle information data.
4. The system of claim 1, wherein the target material bin is a proportioning bin;
the automatic weighing subsystem further comprises a weighing sensor arranged in the quantitative bin, and is used for acquiring the real-time weight of first material blanking from the quantitative bin to the transport vehicle and feeding the real-time weight back to the control processor;
and the control processor acquires the opening time and opening size of the gate plate of the quantitative bin by adopting a pre-established batching mathematical model according to the real-time weight of the first material blanking so as to control the blanking precision of the quantitative bin.
5. The system of claim 4,
the control processor is further used for sending a third control signal to control a buffer bin arranged above the quantitative bin to carry out blanking according to the first electronic material lifting list data, the first vehicle information data and the first empty vehicle weight, and judging whether the batching of the quantitative bin is lack of load or overloaded according to the real-time weight of blanking of a second material fed back by the weighing sensor to the quantitative bin;
the control processor further controls the buffer bin to supplement the quantitative bin when the quantitative bin is judged to be lack of load;
and the control processor further controls the quantitative bin to buckle materials by controlling the opening/closing time and the opening size of the gate plate of the quantitative bin when judging that the quantitative bin is overloaded.
6. The system of claim 5, wherein the cylinder connected to the gate of the dosing chamber is a servo cylinder with a displacement sensor for controlling the size of the gate opening of the dosing chamber according to the control signal of the control processor.
7. The system of claim 1, wherein the target bin is a no-ration bin;
the automatic weighing subsystem further comprises a weighing electronic scale arranged on the non-quantitative bin and used for weighing empty vehicles of a transport vehicle to obtain the weight of a second empty vehicle and outputting the weight to the control processor, and obtaining the real-time weight of blanking of third materials from the non-quantitative bin to the transport vehicle and feeding the weight back to the control processor;
the control processor is used for verifying the weight of the first empty vehicle according to the weight of the second empty vehicle, and acquiring the opening time and opening size of the gate plate without the quantitative bin by adopting a pre-established batching mathematical model according to the real-time weight of blanking of the third material so as to control the blanking precision without the quantitative bin.
8. The system of claim 1, further comprising a laser alignment sensor for positioning a parking position of the transport vehicle traveling to the target bin and sending a positioning signal to the control processor; the control processor further indicates a target parking position of the transport vehicle according to the positioning signal and the chute position of the target material bin.
9. The system of claim 1, wherein the AI visual recognition subsystem comprises:
the camera is used for acquiring three-dimensional space data of a carriage of the transport vehicle, real-time three-dimensional data of coal in the carriage and real-time position data of a chute;
the AI vision processing module is used for correcting and optimizing the data acquired by the camera and then transmitting the data to the control processor;
the control processor further adjusts the blanking amount of the target material bin according to the three-dimensional space data of the carriage, and adjusts the position relation of the transport vehicle relative to the chute according to the real-time three-dimensional data of the coal in the carriage and the real-time position data of the chute.
10. The system of claim 1, further comprising a conveyor belt automatic feeding subsystem and a remote control center;
the automatic feeding subsystem of the conveying belt is used for monitoring and acquiring feeding data of the conveying belt for conveying materials to the material bin, and transmitting the feeding data to the remote control center through remote communication, wherein the feeding data comprises feeding start time, feeding end time, feeding types and feeding total amount;
the control processor further transmits blanking data of the transport vehicle to the remote control center through remote communication, wherein the blanking data comprises blanking start time, blanking end time, blanking types and blanking total amount;
the remote control center updates material inventory data in real time according to the loading data, acquires excess materials of the material bin according to the loading data and the unloading data, and controls the automatic loading subsystem of the conveying belt to convey the materials to the material bin when the excess materials are lower than a preset range.
11. An intelligent loading control method, which adopts the intelligent loading control system of claim 1; characterized in that the method comprises the following steps:
s1, adopting information identification subsystems respectively arranged at an inlet, a weight house and an outlet of the material area to identify the electronic lifting bill to obtain first electronic lifting bill data, identifying the number of a transport vehicle and the type of the transport vehicle to obtain first vehicle information data, and outputting the obtained data to the control processor, wherein the first electronic lifting bill data comprises a customer name, a material type and a material weight;
s2, adopting an automatic weighing subsystem arranged in the weight house to carry out empty weighing on the transport vehicle to obtain first empty vehicle weight, carrying out load weighing on the transport vehicle to obtain load weight, and outputting the obtained data to the control processor;
s3, acquiring real-time blanking data by adopting an AI visual identification subsystem arranged in a target material bin and outputting the real-time blanking data to the control processor, wherein the real-time blanking data comprises three-dimensional space data of a carriage of the transport vehicle, real-time three-dimensional data of coal in the carriage and real-time position data of a chute in the material bin;
s4, sending a first control signal to indicate the transport vehicle to load the target material bin according to the first electronic lifting bill data and the first vehicle information data by adopting the control processor, sending a second control signal to control the discharging of the target material bin according to the first vehicle information data, the first empty vehicle weight and the real-time discharging data, and checking the load weight according to the first electronic lifting bill data, the first vehicle information data and the first empty vehicle weight.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011264125.7A CN112299049A (en) | 2020-11-12 | 2020-11-12 | Intelligent loading control system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011264125.7A CN112299049A (en) | 2020-11-12 | 2020-11-12 | Intelligent loading control system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112299049A true CN112299049A (en) | 2021-02-02 |
Family
ID=74325428
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011264125.7A Pending CN112299049A (en) | 2020-11-12 | 2020-11-12 | Intelligent loading control system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112299049A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113184571A (en) * | 2021-05-24 | 2021-07-30 | 中建材（合肥）粉体科技装备有限公司 | Control method of cement clinker bulk discharging control device |
| CN113433868A (en) * | 2021-07-14 | 2021-09-24 | 青岛沃华软控有限公司 | Integrated remote control automatic loading system for producing porous granular ammonium nitrate |
| CN113562478A (en) * | 2021-07-16 | 2021-10-29 | 安徽海螺信息技术工程有限责任公司 | Anti-cheating integrated system for quantitatively loading bulk materials |
| CN113822627A (en) * | 2021-08-26 | 2021-12-21 | 三一汽车制造有限公司 | Powder tank feeding method and device, powder tank feeding management system and reservation system |
| CN114064989A (en) * | 2022-01-18 | 2022-02-18 | 山东矩阵软件工程股份有限公司 | Method for intelligently controlling material filling by using multidimensional data |
| CN114394445A (en) * | 2022-01-13 | 2022-04-26 | 青岛杰瑞工控技术有限公司 | Port granary intelligent loading and unloading system based on industrial internet |
| CN115092713A (en) * | 2022-04-07 | 2022-09-23 | 青岛澳科仪器有限责任公司 | Material quantitative loading system and automatic loading method thereof |
| CN115826480A (en) * | 2023-02-20 | 2023-03-21 | 山东兴盛矿业有限责任公司 | Mining is with long-range bidirectional control system |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008045165A2 (en) * | 2006-10-11 | 2008-04-17 | Sunpower Corporation | In-line furnace conveyors with integrated wafer retainers |
| CN103366558A (en) * | 2013-07-27 | 2013-10-23 | 杭州九树网络科技有限公司 | Electronic car queuing system and method based on position |
| CN107487645A (en) * | 2017-07-28 | 2017-12-19 | 天地科技股份有限公司 | A kind of mining goods vehicle automatic identification entrucking Coal Blending System and method |
| CN108675011A (en) * | 2018-05-14 | 2018-10-19 | 青岛港国际股份有限公司 | A kind of entrucking building entrucking metering method and entrucking building |
| CN108792662A (en) * | 2018-07-23 | 2018-11-13 | 天地科技股份有限公司 | A kind of full-automatic continuous and quantitative loading system of railway freight train and method |
| CN109147311A (en) * | 2018-07-19 | 2019-01-04 | 河南云煤网网络科技有限责任公司 | Logistics vehicles intelligent queuing method and intelligent queue system |
| CN208351578U (en) * | 2018-07-27 | 2019-01-08 | 重庆欢腾科技有限公司 | A kind of automatic loading management system |
| CN109784803A (en) * | 2018-12-12 | 2019-05-21 | 兖矿集团有限公司 | A kind of self-service shipping method, apparatus of coal mine and storage medium |
| CN209143252U (en) * | 2018-12-04 | 2019-07-23 | 辽宁工程技术大学 | A kind of intelligent loading system in fire dress station |
| CN110110876A (en) * | 2019-05-17 | 2019-08-09 | 有库科技(天津)有限公司 | Pickup management system |
| CN209684889U (en) * | 2019-03-19 | 2019-11-26 | 鹤壁市煤化机械有限责任公司 | Intelligent unattended quick truck loading system on duty |
| CN110817483A (en) * | 2019-11-11 | 2020-02-21 | 天地科技股份有限公司 | Real-time unbalance loading prevention system and method for train loading station |
| CN111532313A (en) * | 2020-04-21 | 2020-08-14 | 天地科技股份有限公司 | Remote automatic train dispatching and commanding system and method for loading station |
| CN111731886A (en) * | 2020-07-13 | 2020-10-02 | 天地科技股份有限公司 | Loading station chute and loading method for mixed-marshalling train |
-
2020
- 2020-11-12 CN CN202011264125.7A patent/CN112299049A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008045165A2 (en) * | 2006-10-11 | 2008-04-17 | Sunpower Corporation | In-line furnace conveyors with integrated wafer retainers |
| CN103366558A (en) * | 2013-07-27 | 2013-10-23 | 杭州九树网络科技有限公司 | Electronic car queuing system and method based on position |
| CN107487645A (en) * | 2017-07-28 | 2017-12-19 | 天地科技股份有限公司 | A kind of mining goods vehicle automatic identification entrucking Coal Blending System and method |
| CN108675011A (en) * | 2018-05-14 | 2018-10-19 | 青岛港国际股份有限公司 | A kind of entrucking building entrucking metering method and entrucking building |
| CN109147311A (en) * | 2018-07-19 | 2019-01-04 | 河南云煤网网络科技有限责任公司 | Logistics vehicles intelligent queuing method and intelligent queue system |
| CN108792662A (en) * | 2018-07-23 | 2018-11-13 | 天地科技股份有限公司 | A kind of full-automatic continuous and quantitative loading system of railway freight train and method |
| CN208351578U (en) * | 2018-07-27 | 2019-01-08 | 重庆欢腾科技有限公司 | A kind of automatic loading management system |
| CN209143252U (en) * | 2018-12-04 | 2019-07-23 | 辽宁工程技术大学 | A kind of intelligent loading system in fire dress station |
| CN109784803A (en) * | 2018-12-12 | 2019-05-21 | 兖矿集团有限公司 | A kind of self-service shipping method, apparatus of coal mine and storage medium |
| CN209684889U (en) * | 2019-03-19 | 2019-11-26 | 鹤壁市煤化机械有限责任公司 | Intelligent unattended quick truck loading system on duty |
| CN110110876A (en) * | 2019-05-17 | 2019-08-09 | 有库科技(天津)有限公司 | Pickup management system |
| CN110817483A (en) * | 2019-11-11 | 2020-02-21 | 天地科技股份有限公司 | Real-time unbalance loading prevention system and method for train loading station |
| CN111532313A (en) * | 2020-04-21 | 2020-08-14 | 天地科技股份有限公司 | Remote automatic train dispatching and commanding system and method for loading station |
| CN111731886A (en) * | 2020-07-13 | 2020-10-02 | 天地科技股份有限公司 | Loading station chute and loading method for mixed-marshalling train |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113184571A (en) * | 2021-05-24 | 2021-07-30 | 中建材（合肥）粉体科技装备有限公司 | Control method of cement clinker bulk discharging control device |
| CN113433868A (en) * | 2021-07-14 | 2021-09-24 | 青岛沃华软控有限公司 | Integrated remote control automatic loading system for producing porous granular ammonium nitrate |
| CN113433868B (en) * | 2021-07-14 | 2023-01-31 | 青岛沃华软控有限公司 | Integrated remote control automatic loading system for producing porous granular ammonium nitrate |
| CN113562478A (en) * | 2021-07-16 | 2021-10-29 | 安徽海螺信息技术工程有限责任公司 | Anti-cheating integrated system for quantitatively loading bulk materials |
| CN113562478B (en) * | 2021-07-16 | 2023-08-29 | 安徽海螺信息技术工程有限责任公司 | Anti-cheating integrated system for quantitatively loading bulk materials |
| CN113822627A (en) * | 2021-08-26 | 2021-12-21 | 三一汽车制造有限公司 | Powder tank feeding method and device, powder tank feeding management system and reservation system |
| CN114394445A (en) * | 2022-01-13 | 2022-04-26 | 青岛杰瑞工控技术有限公司 | Port granary intelligent loading and unloading system based on industrial internet |
| CN114064989A (en) * | 2022-01-18 | 2022-02-18 | 山东矩阵软件工程股份有限公司 | Method for intelligently controlling material filling by using multidimensional data |
| CN115092713A (en) * | 2022-04-07 | 2022-09-23 | 青岛澳科仪器有限责任公司 | Material quantitative loading system and automatic loading method thereof |
| CN115826480A (en) * | 2023-02-20 | 2023-03-21 | 山东兴盛矿业有限责任公司 | Mining is with long-range bidirectional control system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112299049A (en) | Intelligent loading control system and method | |
| CN109896308B (en) | Full-automatic control method for quantitative loading of aggregate and sand and stone | |
| CN107330802A (en) | A kind of intelligent Mine transportation and sales system | |
| CN113562478B (en) | Anti-cheating integrated system for quantitatively loading bulk materials | |
| CN107844944B (en) | Unattended weighing system based on mobile network | |
| CN111994663A (en) | Intelligent automobile loading station system and method | |
| CN112299055A (en) | Intelligent loading method and device | |
| CN111532313B (en) | Remote automatic train dispatching and commanding system and method for loading station | |
| CN109469507B (en) | Coal mine transportation and sale system | |
| CN111121934A (en) | Coal conveying metering system and method | |
| CN111397712A (en) | Freight vehicle wagon balance monitoring method for preventing weighing cheat | |
| CN109489786B (en) | System and method for intelligent engineering access control and weighing metering | |
| CN116468343A (en) | Logistics park management method, system, storage medium and electronic equipment | |
| CN109146025A (en) | A kind of weighing system | |
| CN110168585A (en) | A kind of data processing method, apparatus and system | |
| CN114314028A (en) | Automatic loading and transporting control system for coal mine train | |
| CN115481989A (en) | Unattended material receiving and selling system of concrete mixing plant and working method | |
| CN213445257U (en) | Cement silo side bulk loading system | |
| CN211109655U (en) | Unmanned on duty quick ration loading system based on belt formula is carried | |
| CN115629577A (en) | Automatic scheduling method and automatic scheduling system for unattended vehicle loading | |
| CN107487644A (en) | A kind of self-service automobile loading system and method in colliery | |
| CN114873310B (en) | Automatic loading method for loading building and loading building | |
| CN116342027A (en) | Digital storage system and storage method for bulk raw materials | |
| CN116281260A (en) | Automatic metering and loading system for various aggregates and use method | |
| CN212639240U (en) | Intelligent automobile loading station device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210202 |
|
| RJ01 | Rejection of invention patent application after publication |