56654results about "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.

A belt conveyor with a deviation rectifying function and a conveying belt deviation rectifying method, the belt conveyor comprising a deviation-rectifying support (10), a deviation-rectifying mechanism (20), a carrier roller (30), a conveying belt (40), a plurality of sets of deviation measurement mechanisms (50) and an electric control mechanism (60), wherein the deviation-rectifying mechanism (20) is mounted on the deviation-rectifying support (10) and comprises a center-adjusting swing frame (21), a rotary power assembly (22) and a cross shaft assembly (23); the center of a swing frame of the center-adjusting swing frame (21) is connected to the deviation-rectifying support (10) by means of the cross shaft assembly (23), and the carrier roller (30) is mounted at the top of the center-adjusting swing frame (21); the rotary power assembly (22) is arranged below the center-adjusting swing frame (21) and is connected to the center-adjusting swing frame (21); and the deviation measurement mechanism (50) is arranged aside the deviation-rectifying support (10) or directly above the deviation-rectifying support (10); the electric control mechanism (60) is connected to the rotary power assembly (22), controls the rotary power assembly to rotate and drives the center-adjusting swing frame (21) to swing around the center of the swing frame; and the conveying belt (40) is corrected in position on the basis of deflection generated by the carrier roller (30).

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 logistics storage intelligent suspension conveying system and a using method thereof, and relates to the technical field of conveying equipment.The logistics storage intelligent suspension conveying system comprises a supporting frame, a protection frame, a conveying mechanism, a guiding mechanism and a suspension locking mechanism, a suspension guide rail is fixedly installed at the top end of the supporting frame, and the protection frame is fixedly installed outside the suspension guide rail; the conveying mechanism is arranged in the protection frame, the guiding mechanism is arranged outside the supporting frame, and the suspension locking mechanism is connected with the conveying mechanism. By means of the arrangement mode that the conveying mechanism, the guiding mechanism and the suspension locking mechanism are matched, the suspension locking mechanism can be driven by the conveying mechanism to move under guiding of the guiding mechanism, so that objects are conveyed, the guiding mechanism can adjust the feeding and discharging positions of the goods, and the conveying efficiency is improved. The flexibility and adaptability in the logistics storage process are improved, the feeding and discharging positions can be accurately adjusted according to the characteristics and requirements of different goods, and the efficiency and accuracy of logistics operation are effectively 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.

A load handling device for lifting and moving containers arranged in stacks in a storage structure. The storage structure includes a track structure arranged in a grid pattern which defines a plurality of grid cells above the stacks of containers. The load handling device includes: a driving assembly configured to horizontally move the load handling device on the track structure; a lifting mechanism configured to lift a container from a stack; a power source; and an externally accessible power source compartment configured to electrically couple to the power source. The power source compartment is configured to removably receive the power source in a vertical direction.

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.

In one aspect, a method is provided for controlling access to a facility including a movable barrier and a plurality of loading docks. The method includes receiving, from a user device associated with a vehicle, a check-in communication that includes a check-in identifier. The method includes receiving a verification communication that verifies a presence of the vehicle relative to a sensor associated with the movable barrier. The method further includes causing a movable barrier operator associated with the movable barrier to move the movable barrier between closed and open positions in response to the check-in identifier indicating authorization to access the facility and in response to receiving the verification communication. Further, the method includes selecting a particular loading dock from the plurality of loading docks and communicating a loading dock identification representative of the particular loading dock to the user device to direct the vehicle to the particular loading dock.

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.

An induction system is disclosed for filtering the induction of objects to a plurality of object processing systems. The induction system includes an evaluation means for evaluating at least one characteristic of an object, and routing means for routing the object in one of a plurality of directions responsive to the evaluated characteristic, at least one of the plurality of directions leading to a selected one of the plurality of object processing systems.

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 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 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.

A method of determining a kinematic state of a load handling device in a storage system. Wheel state data, representative of a state of a wheel of the load handling device, from one or more sensors communicatively coupled to the wheel is obtained. A creep value for the load handling device is determined based on the wheel state data and using a trained model. The kinematic state of the load handling device is determined based on the creep value and kinematic data, representative of the kinematic state of the load handling device, is outputted. A positioning system to employ the method for the load handling device is also provided.

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 system for processing a logistic object, comprising: a sorting apparatus, a transportation apparatus, and an output apparatus. The sorting apparatus comprises: a logistic object conveyor, at least one chute, and at least one sorting platform. The logistic object conveyor is connected to one end of the at least one sliding chute, and the other end of each chute is connected to one sorting platform. The transportation apparatus comprises a supporting assembly. The output apparatus comprises an output apparatus body and a control device. Also provided are a sorting apparatus and a method for processing a logistic object. The system for processing a logistic object can automatically implement the sorting of logistic objects to complete the packaging processing of the logistic objects, thereby improving the logistic processing efficiency.

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.

In a system and method for placing and picking items in a warehouse. the correct location of the item is displayed on a virtual depiction of the warehouse. the person tasked with placing or picking an item is visually guided to the item in question. and the placement of items and movement of persons and goods is optimized for the warehouse.

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 modular storage system with at least two horizontal robot levels, wherein the robot levels are formed by at least three baseplates, at least eight vertical supports which are perpendicular to the robot levels and support the robot levels, at least one robot on each robot level, which robot can move on the robot level, and, per robot level, at least two container carriers which can be moved by the robot.

In one aspect, a gap blocker is provided for a roller conveyor having rollers for conveying an object in a downstream longitudinal direction. The rollers include adjacent rollers having a longitudinally extending gap therebetween and at least one of the rollers has an annular groove for receiving a drive member. The gap blocker includes a body configured to be supported in the gap by the adjacent rollers and an upper blocking portion of the body to extend across the gap. The body further includes a locating member configured to extend into the annular groove and inhibit lateral movement of the body in the gap.

The invention relates to a robot, a server, a warehousing system, a warehouse and a warehouse-out method, and the warehousing system comprises a goods shelf which is provided with a raw material box storage area and an order box storage area; the carrying robot is used for receiving the first dispatching instruction and conveying the raw material box to the first stopping position of the target sorting work station from the first goods position according to the first dispatching instruction; the sorting robot is used for receiving a second dispatching instruction and arriving at a second stopping position of the target sorting work station according to the second dispatching instruction, so that the to-be-sorted goods in the raw material box on the carrying robot at the first stopping position can be sorted to the sorting robot at the second stopping position to become sorted goods; and the sorted goods or the target order boxes containing the sorted goods are conveyed to the second goods allocation from the second parking position. According to the robot, the server, the warehousing system, the warehouse and the warehouse-out method, the warehousing area can be saved, and the flexibility of the warehousing process is improved.

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.

The present invention provides a container-handling vehicle (9′) for picking up storage containers (6) from a three-dimensional grid (4) of an underlying storage system (1), comprising a vehicle body (13) and at least one lifting device (18) for lifting a storage container (6) from the grid (4), the lifting device (18′) comprises a lifting band drive assembly (47, 47′,31), a horizontal lifting frame (17) and a plurality of lifting bands (16a, 16b); the lifting band drive assembly (47, 47′,31) is connected to the vehicle body (13) and comprises at least one rotatable lifting shaft (22.22′); the lifting frame (17,17) comprises four corner sections (36), gripper elements (24) for releasable connection to a storage container (6), and a lifting band connector (32,32′) arranged at each of the corner sections; the lifting bands (16a, 16b) are connected to the lifting band drive assembly (47, 47′,31) and the lifting band connectors (32,32′), such that the lifting frame (17, 17) may move in a vertical direction relative to the lifting band drive assembly by rotation of the lifting shaft (22,22); wherein at least three of the lifting band connectors (32,32′) are adjustable, such that the vertical distance between the respective corner sections and the lifting band drive assembly may be adjusted.