28212results about "Control devices for conveyors" patented technology

Disclosed is a clamping device having an automatic direction adjustment function in a vehicle body welding conveying line, including a conveying frame. A driving motor is fixedly connected to a side wall of the conveying frame, and an output shaft end of the driving motor is fixedly connected to a rotating shaft I. The present disclosure facilitates the adjustment of a direction when vehicle bodies to be welded are conveyed on a turning conveying line, and vehicle bodies being conveyed can be corrected to the same horizontal state, to avoid a situation where the clamping device on the conveying line cannot smoothly clamp inclined vehicle bodies for conveying because the vehicle bodies cannot be in the same horizontal plane when being put in.

The invention relates to the technical field of ore conveying, and discloses an intelligent mine ore conveying management system, which comprises a deep reinforcement learning scheduling module used for realizing optimal scheduling through a deep reinforcement learning algorithm based on an ore conveying equipment state, a conveying path condition and ore queue information; the digital twinning system is used for creating a digital twinning model of the conveying equipment and carrying out multi-physics field simulation, real-time data synchronization and state prediction so as to manage the full life cycle of the equipment; and the edge calculation module is used for carrying out data acquisition, real-time processing and lightweight AI reasoning on a mine site so as to realize equipment anomaly detection and early warning. By introducing deep reinforcement learning scheduling, digital twinning, edge computing and block chain data management technologies, adaptive optimization scheduling, accurate state monitoring and fault prediction of the ore conveying system are realized, an efficient safety protection and intelligent user interface is provided, and the operation efficiency, reliability and safety of the system are improved.

The invention discloses a self-adaptive variable-frequency speed regulation device based on a scraper conveyor and a control method, and relates to the technical field of automatic control, and the method comprises the following steps: collecting real-time operation data of the scraper conveyor through a data sensing module, and determining operation demand information of equipment; the evaluation calculation module sets an operation parameter interval and generates an evaluation index. And the rotating speed correlation analysis module performs rotating speed correlation analysis on the real-time data according to the evaluation indexes, constructs a rotating speed correlation list and generates a correlation learning result. And the dynamic matching module calls the frequency converter for dynamic matching to generate an output frequency parameter group. And the linkage control strategy making module executes the intelligent speed regulation control strategy and adjusts the belt speed of the scraper conveyor. The technical problems that in the prior art, due to the fact that the speed of a scraper conveyor cannot be intelligently adjusted under different load conditions, overload shutdown is caused, the energy efficiency is low, and equipment abrasion is aggravated are solved, and the technical effects of reducing energy consumption, reducing equipment abrasion and prolonging the service life are achieved.

The invention relates to the technical field of image processing, and discloses a device and a method for recognizing longitudinal tearing of a mining conveying belt, which are used for improving the accuracy of recognizing the longitudinal tearing of the mining conveying belt. The device comprises: an acquisition module performing structured light projection and image acquisition to obtain original image data; the extraction module performs preprocessing and contour line extraction on the original image data to obtain geometric feature information; the generation module performs feature point analysis and stress distribution analysis on the geometric feature information to generate dynamic change features and a stress distribution diagram; the fusion module carries out fusion analysis on the sensing data set to obtain conveyor belt tearing risk evaluation data; the analysis module performs tearing probability distribution analysis based on a multi-modal neural network on the conveyor belt tearing risk evaluation data to obtain tearing identification probability distribution data; and the early warning module performs early warning information analysis according to the tear identification probability distribution data to obtain target early warning information, and performs real-time early warning according to the target early warning information.

The invention discloses a data-driven material conveyor fault early warning method and system, and relates to the field related to data early warning, and the method comprises the steps: arranging a plurality of sensors for real-time collection, obtaining a real-time operation data set of a material conveyor for multi-dimensional analysis, determining multi-dimensional operation data for time series decomposition, extracting a plurality of operation features, and carrying out the early warning of the faults of the material conveyor; learning training is carried out according to the historical operation record log to obtain a fault prediction model, the real-time operation data set is synchronized to the fault prediction model for prediction calculation, and the operation health score of the material conveyor is determined to carry out fault judgment on the material conveyor. And determining a fault risk level, generating an early warning signal, and sending the early warning signal to a remote terminal for intelligent early warning feedback of the fault. The technical problem that intelligent maintenance is difficult to achieve due to the fact that fault monitoring of the material conveyor is not timely and the early warning precision is low is solved, real-time monitoring and intelligent feedback of the equipment state are achieved through data-driven fault prediction and real-time early warning, and the technical effect of improving the operation and maintenance efficiency is achieved.

A conveyor system includes a plurality of posts having one or more rollers and a conveying surface for conveying a conveyable item. A memory in communication with one or more processors stores conveyable item data including one or more images, size, and weight for conveyable items. One or more sensors is in communication with the one or more processors to provide optical or weight information of an item on the conveying surface, used by the one or more processors to determine that an item is on the conveying surface and to semantically match the conveyable item identified on the conveying surface with stored conveyable item data.

The invention discloses a belt conveyor fault identification and prediction method and system, and relates to the technical field of digital intelligent monitoring of belt conveyors, and the method comprises the steps: collecting the operation data of a belt conveyor in real time through various sensing devices arranged on the belt conveyor, analyzing the collected video data and multi-modal data through an AI algorithm, and carrying out the real-time monitoring of the operation data of the belt conveyor; analyzing the operation state and fault prior information of parts and materials of the conveyor, inputting the information into a dynamic simulation model, simulating the common influence of various faults on the belt conveyor through Monte Carlo simulation, and calculating the probability prediction values of the various faults; finally, an analysis result is displayed in real time in combination with modes of graphic display, probability curves and the like, and working personnel are timely notified of occurred and about-to-occur faults; meanwhile, fault probability prediction and operation data serve as training data again to conduct incremental learning on the AI algorithm, and the accuracy of the AI algorithm is continuously improved.

The invention relates to a coal conveying control system and method for a thermal power plant. The method comprises the following steps that S1, operation data of a coal conveying system are collected in real time through a preset multi-source sensor network; s2, constructing a time sequence prediction model based on an attention mechanism, and dynamically predicting the operation state of the coal conveying system; s3, executing real-time optimization calculation at the edge calculation node, and generating a control instruction set including the belt speed, the coal feeder opening degree and the transfer station cooperation strategy; s4, the control instruction is issued to an execution mechanism through a 5G-MEC network, and meanwhile key data is uploaded to a cloud end for model iteration updating; and S5, dynamically adjusting a safety protection threshold value based on an equipment vibration spectrum analysis result, and triggering a hierarchical protection mechanism when a coal blockage risk is detected. The method has the effects of effectively improving the performance of the coal conveying system and being green and energy-saving.

The invention discloses a multi-modal monitoring and anomaly detection method, system and device for a belt conveying system and a medium, and belongs to the technical field of anomaly detection.The method comprises the steps that a plurality of multi-modal sensors are arranged on the whole path along the path of the belt conveying system, and original signals in the running process of the belt conveying system are collected; the original signals are preprocessed; performing environment compensation calculation to generate engineering data; mapping the engineering data to the same space coordinate system of the belt conveying system, and completing feature extraction to obtain feature vectors; multi-modal fusion analysis is carried out on the feature vectors, abnormal state identification and fault level classification are realized, and an early warning signal and a risk level are output; and executing a matched response control strategy according to the early warning signal, the risk level and the corresponding space coordinate system position. According to the method, the abnormal state can be dynamically recognized under the complex working condition, differential response control is achieved, and the recognition capability and processing precision of early-stage, multi-source and dynamic anomalies are improved.

The invention discloses an intelligent material conveying deviation remote monitoring system based on Internet of Things, which relates to the technical field of material conveying deviation remote monitoring and comprises a signal monitoring module, an abnormal window calibration module, a distortion evaluation module, a data correction module and a remote optimization module. The distortion evaluation module is used for acquiring ultrasonic propagation distortion characteristic information in a signal propagation abnormal window in real time, analyzing and evaluating the echo signal distortion degree under the condition of ultrasonic signal propagation path distortion after acquisition, and dividing the echo signal distortion degree into three types, namely a light distortion degree, a medium distortion degree and a heavy distortion degree; and the data correction module is used for taking corresponding correction measures on the to-be-corrected measurement data under the condition of different echo signal distortion degrees based on the evaluation result. According to the method, the problem of measurement errors caused by propagation path distortion of ultrasonic signals in conveyor belt deviation monitoring is solved, accurate distortion evaluation and adaptive data correction are realized, and the monitoring precision and stability are improved.

This application relates to a collaborative control method for a picking robot based on collaborative picking and collection of mushrooms, including the following steps: picking, by a suction cup, the mushrooms, and conveying, by a built-in conveying apparatus, the mushrooms to a discharge port; dynamically adjusting a movement path of the picking robot; synchronously moving a receiving mechanism and the picking robot, and ensuring the receiving mechanism to be aligned to the discharge port; separating, by a separating apparatus, mushrooms that meet a quality standard and unqualified mushrooms, where the mushrooms that meet a quality standard and the unqualified mushrooms respectively enter a first dropping hopper and a second dropping hopper; grading the mushrooms in the first dropping hopper for a second time, classifying the mushrooms based on volumes and diameters of the mushrooms; when any dropping hopper is to be fully loaded, triggering the receiving mechanism to alternately operate.

A material conveying apparatus, a battery assembly system, a production line, and an assembly method. The material conveying apparatus comprises a frame (10), a conveying mechanism (20), a limiting mechanism (30), and a carrying mechanism (40). The conveying mechanism (20) comprises two conveying paths arranged on the frame (10), one of the two conveying paths is an input path (21) used for conveying a box body (60) loaded with materials, and the other one of the two conveying paths is an output path (22) used for conveying the unloaded box body (60). The limiting mechanism (30) is disposed on the frame (10) or the conveying mechanism (20) and is used to define on the input path (21) a waiting position (21a) and a material pick-up position (21b) arranged in the input direction, and define on the output path (22) a transfer position (22a) and a removal position (22b) arranged in the output direction. The carrying mechanism (40) is used for carrying to the transfer position (22a) the box body (60) which is located at the material pick-up position (21b). The material conveying apparatus can be adapted to transportation of various battery assembly materials and has good universality.

The invention discloses an automatic feeding control system based on industrial vision, and belongs to the technical field of feeding control systems.The automatic feeding control system comprises a visual recognition module used for collecting image information such as the appearance, the size and the spatial position of a workpiece; the mechanical clamping module is used for grabbing, carrying and placing the workpiece according to the control instruction; the control operation module undertakes a core control task of the system and is used for coordinating cooperative work among the modules; the data processing and analyzing module is used for deeply processing and analyzing the image data acquired by the visual identification module and the data fed back by other sensors; the environment perception and compensation module is used for assisting the system to dynamically adjust working parameters of equipment, counteracting the influence of environment interference on the operation precision and automatically realizing compensation adjustment; the system can quickly and accurately identify the position and the posture of the workpiece in an industrial production environment with a high real-time requirement, and stably clamp the workpiece to carry out feeding operation.

The invention discloses a tension optimization control system and method for a tensioning device of an underground coal mine belt conveyor, and relates to the technical field of tensioning device optimization control. The method comprises the steps that S1, multi-source tensioning data are collected in real time, and data preprocessing is conducted on the multi-source tensioning data; s2, predicting a coal flow load based on historical multi-source tensioning data, and taking a dynamic compensation measure for a tensioning device; s3, in combination with the multi-source tensioning data and the coal flow load prediction result, collaborative distribution is carried out on the hybrid execution mechanism, and automatic regulation and control are carried out based on the collaborative distribution result; s4, abnormity is detected in real time based on the multi-source tensioning data, and early warning is carried out; s5, performing safety risk assessment according to the real-time multi-source tensioning data, and taking adaptive regulation and control measures in combination with a safety risk assessment result and an anomaly detection result; the problem that faults are caused due to the fact that high-frequency pulsation and short-time impact of belt tension are difficult to adjust in time is solved.

The invention provides an intelligent suspension conveying system and a control method thereof, and belongs to the technical field of suspension conveying. Comprising a conveying track, a conveying trolley capable of being hung on the conveying track in a walking mode and a controller, the conveying trolley comprises a mounting plate, U-shaped hanging frames are fixedly connected to the left side and the right side of the upper surface of the mounting plate correspondingly, and rolling wheels are rotationally installed on the front side and the rear side of each U-shaped hanging frame correspondingly; and a first weight sensor and a second weight sensor are mounted on the left side and the right side of the lower surface of the mounting plate correspondingly. The distance between the left hoisting frame and the right hoisting frame can be adjusted according to hole positions of hoisted objects, different objects can be better hoisted and conveyed, meanwhile, the positions of the left hoisting frame, the right hoisting frame and the hoisted objects are synchronously adjusted through the controller, and therefore the rolling wheels on the left side and the right side are more balanced in stress on the conveying rail; and the phenomenon of conveying deviation is avoided, and suspension type conveying is better and more stable.

The invention relates to the technical field of tunnel monitoring and image processing, and discloses a belt carrier roller fault detection method and system based on an inspection robot, and the method comprises the steps: obtaining image data and video data of a TBM belt carrier roller, carrying out the preprocessing of the image data, and carrying out the positioning of the position of the carrier roller; inputting the preprocessed image data into a constructed belt carrier roller fault detection model, and training the model to obtain a fault carrier roller image; detecting the rotating speed type of the carrier roller according to the video data, and determining whether the rotating speed of the carrier roller is abnormal according to the rotating speed type of the carrier roller to obtain a rotating speed abnormal result of the carrier roller; and the state of the belt carrier roller is comprehensively judged according to the obtained fault carrier roller image and the rotating speed abnormal result of the carrier roller, the carrier roller with double fault indexes is obtained, an abnormal image frame is output, meanwhile, capturing time information of the image is associated, and the fault carrier roller with time information and position information is obtained. The fault carrier roller can be identified and positioned, and the inspection efficiency is high.

The invention discloses an intelligent car coupler identification method and system of a car dumper based on a picking and re-hooking robot, and relates to the technical field of intelligent identification, the method comprises the following steps: multi-modal data is collected and preprocessed, and the multi-modal data comprises laser radar point cloud data, camera images and infrared data; fusing the processed multi-modal data, identifying coupler information by adopting a convolutional neural network and an attitude estimation algorithm, and generating a coupler identification result; a path planning algorithm is adopted, a grabbing point path of the car coupler is calculated, interferents are avoided, the grabbing path is optimized, and an optimal grabbing path is generated; and the robot moves to the position of the car coupler according to the optimal grabbing path, the grabbing posture is corrected in real time through image perception, and a mechanical arm tail end executor is driven to clamp the car coupler for grabbing. Through multi-modal data fusion and path planning, the coupler is accurately recognized, the grabbing path is optimized, and the grabbing precision and stability of the robot in a complex environment are improved.

The invention belongs to the technical field of soft package battery modules, and particularly relates to a soft package power battery module intelligent processing production line and a processing production method.The processing production line comprises a battery cell processing section, a module stacking section and a module welding section; the battery cell processing section comprises a cutting and bending mechanism, a dog ear folding mechanism and a foam pasting mechanism which are sequentially arranged in the processing direction, and the module stacking section comprises a battery module stacking device and a battery module extruding and bundling device which are sequentially arranged in the processing direction; the module welding section comprises a busbar mounting station, a tab bending and rolling mechanism and a tab welding mechanism which are sequentially arranged in the machining direction. According to the invention, automation of the whole-line production process of the soft package battery module is realized.

The invention relates to the field of industrial automation, in particular to a multi-camera vision stacking pose planning method and system for an intelligent loading and unloading robot. The method comprises the following steps: constructing a collaborative sensing system through a plurality of industrial cameras deployed in a target space, and collecting dynamic environment data of a stacking area in real time; generating a self-adaptive stacking pose based on a hierarchical pose planning mechanism: analyzing an initial pose parameter through a theme control layer and generating a preliminary placement instruction, and verifying the feasibility of the preliminary placement instruction based on environmental data of the collaborative awareness system through a visual verification layer, and a final placement coordinate is optimized by combining the accurate positioning layer with a virtual box matching algorithm. The problems that in the prior art, real-time environment sensing capacity is lacked, pose planning is disjointed with the actual environment, and dynamic change scenes cannot be processed are solved.

The invention relates to the technical field of mining scraper conveyor equipment, in particular to a scraper conveyor chain breakage monitoring method and device based on machine vision. The method comprises the following steps: acquiring a real-time three-dimensional image when a chain moves through a stereo camera; obtaining real-time state data of the chain according to the real-time three-dimensional image; and comparing the real-time state data with standard data, and if the real-time state data does not meet a preset threshold value, determining that the chain has a chain breakage risk. According to the method, the real-time three-dimensional image of the chain during movement is obtained through the stereo camera, the real-time state data of the chain is obtained according to the real-time three-dimensional image, whether the chain breakage risk exists or not is determined by comparing the real-time state data with the standard data, and the chain state can be accurately monitored in real time.

A quick-change platform, a battery production line, and a control method. The quick-change platform comprises a tray kit (10). In a first pick-and-place state, the tray kit (10) is located at a first pick-and-place position, so that the tray kit (10) is used for receiving a target object (80) disengaged from a battery module fixture, or a battery module handling device picks up the target object (80) placed on the tray kit (10); and in a second pick-and-place state, the tray kit (10) is located at a second pick-and-place position, and is used for taking down the target object (80) on the tray kit (10), or for placing the target object (80) onto the tray kit (10).

A receptacle-supporting puck includes spring-biased fingers arranged about a vertical axis, each finger having a contact surface to contact a receptacle seated in the puck. A supporting disc of the puck includes a disc sidewall projecting from a base and defining a pocket for seating a receptacle, first cavities in the base extending toward the vertical axis, and a puck passageway extending through opposed portions of the disc sidewall transversely to and offset from the vertical axis. Each finger is rotatably coupled to the supporting disc at a corresponding first cavity. A synchronization disc is positioned in the pocket, and each of the fingers is coupled to the synchronization disc such that the contact surfaces of the fingers move synchronously toward and away from the vertical axis. A retaining ring couples the fingers, the supporting disc, and the synchronization disc together.

The invention discloses a scraper chain tension detection device for a mining scraper conveyor and a tension control method. The scraper chain tension detection device comprises a connecting seat, a pressure detection assembly and a data processor, the connecting base is fixed to a U-shaped groove in the middle section of the machine tail side plate. The pressure detection assembly comprises a base, a floating block, a pressure sensor and a gland; the base is installed on the connecting base, one end of the gland is installed on the base, the other end of the gland extends towards one side of the scraper chain, so that the gland and the upper edge of the machine tail form a channel for the axe end of the scraper to run, the pressure sensor is installed on the lower end face of the gland, and the floating block is installed on the side, facing the scraper chain, of the base in a sliding mode. The floating block is located under the pressure sensor. And the data processor establishes communication connection with the pressure sensor. The positive pressure of the axe end of the scraper on the upper edge is detected through the pressure detection assembly installed on the upper edge of the machine tail, and then the tension condition of the scraper chain is judged by detecting the tension of the scraper chain on the upper portion of the machine tail and serves as the basis for adjusting the tension of the scraper chain.

A receptacle delivery system includes a carriage configured to move from a first to a second location of an instrument. The carriage may be configured to removably support a receptacle and may include a receptacle clamping mechanism. The receptacle mechanism may be configured to apply a clamping force to the receptacle as the carriage moves from the first to the second location and release the clamping force as the carriage moves from the second to the first location.

The present invention relates to the technical field of warehousing control. In particular disclosed are an automatic cargo loading and unloading warehousing control system and a cargo loading and unloading device therefor, the system being provided with a compartment parking information acquisition and processing module, an intelligent cargo conveyance control module, a warehousing management information comprehensive determination module, and a data control library. First, compartment parking information acquisition and preprocessing is performed, and it is determined whether a cargo loading and unloading AGV can be started, and next, a first channel is screened out to convey a goods in a compartment. Hence, a control anomaly value of warehousing management information of an intelligent warehousing control platform is comprehensively calculated, and the warehouse management information is subjected to autonomous early warning control and indication, thus facilitating rapid operations of cargo loading and unloading, and greatly improving the efficiency of warehousing intelligentization. Meanwhile, the labor costs of warehousing operations can be reduced, and the quality and accuracy of cargo processing can also be improved.

A method of delivering a receptacle to an instrument includes the steps of supporting a receptacle containing a fluid on a carrier, transporting the carrier supporting the receptacle on a conveyor extending adjacent to each of a plurality of instruments, transferring the receptacle from the carrier to a puck supported on a carriage when the carriage is positioned at a first location, moving the carriage with the receptacle seated in the puck from the first location to a second location within an instrument of the plurality of instruments, and drawing at least a portion of the fluid from the receptacle seated in the puck into a tip associated with a fluid extraction device of the instrument when the carriage is positioned at the second location.

The embodiment of the invention provides a rotor control method of a magnetic drive conveying system and related equipment. The method comprises the steps that planning operation data of a target rotor and the operation distance between the target rotor and a previous rotor are obtained; obtaining a reference adjustment speed; the minimum braking distance of the target rotor is calculated based on the reference adjusting speed, the reference adjusting speed is updated based on the distance difference value between the safe reference distance and the minimum braking distance, an updated reference adjusting speed is obtained, the updated reference adjusting speed serves as a new reference adjusting speed to conduct minimum braking distance calculation, and the minimum braking distance of the target rotor is obtained. Taking the reference adjustment speed as the maximum safe operation speed until the distance difference value does not exceed the preset distance difference value; and updating the planned operation data of the target rotor based on the maximum safe operation speed, and performing operation control on the target rotor according to the updated planned operation data, thereby effectively improving the operation safety of the rotor in the magnetic drive conveying system on the magnetic suspension conveying track.

The invention discloses an automatic stacking control system based on visual positioning. The automatic stacking control system comprises a multi-mode visual positioning module, a model building module, a dynamic path planning module, a mechanical arm execution module, an error correction module and a storage module. The multi-mode visual positioning module comprises an RGB camera, a sensor and a laser radar and is used for obtaining three-dimensional space information of goods and a stacking area in real time. The multi-modal visual positioning module is mounted on one side of the stacking area; the model building module is used for building a stacking area, the cargo position and the position of the mechanical arm in a three-dimensional space, when the system is used, information about the position of the stacking area and information about whether new cargoes can be stacked in the stacking area or not can be obtained, then movement at any position in the space can be achieved through the three-axis cooperation mechanical arm, and the three-axis cooperation mechanical arm can move at any position in the space. The application range of the system is widened, and cargoes can be accurately conveyed to the position of a stacking area through the dynamic path planning module and the error correction module.

A receptacle delivery system that includes a rail extending between first and second locations of an instrument and a carriage configured to move on the rail between the first and second locations of the instrument. The carriage includes a bracket having opposed first and second sidewalls and a base extending between the first and second sidewalls, where the carriage is configured to support a receptacle. The carriage further includes a pair of opposed support pads, where the pair of support pads are configured to (a) move toward a receptacle supported by the carriage as the carriage moves from the first location toward the second location, and (b) move away from a receptacle supported by the carriage as the carriage moves from the second location toward the first location. The carriage also includes a pair of meshed cam gears rotatably coupled to the first sidewall, where each cam gear is coupled to a different one of the support pads.

The invention discloses an underground coal bunker unblocking system. The underground coal bunker unblocking system comprises a spiral conveying drill rod, a drill rod driving device, an intelligent monitoring module and a control module, the drill rod is arranged on the inner wall of a coal bunker, the gap between the outer edge of a drill rod blade and the inner wall of the coal bunker is smaller than 10 mm, and the drill rod driving device is connected with the drill rod to drive the drill rod to rotate. The intelligent monitoring module integrates a pressure sensor array, an infrared coal flow detector and an image recognition camera and is used for monitoring the blocking state in a coal bunker in real time, and the control module dynamically adjusts the rotating speed and the rotating direction of the spiral conveying drill rod according to monitoring data. According to the underground coal bunker unblocking system, through the collaborative design of spiral drill rod structure optimization, anti-explosion power driving, a multi-mode sensing network and intelligent decision control, the unblocking efficiency of the coal bunker and the safety of unblocking operation are improved, the monitoring means are comprehensive, the blocking state can be accurately judged in real time, control response is timely, and the unblocking efficiency of the coal bunker is improved. And complex working conditions can be adapted.