1623results about "Escalators" patented technology

The invention discloses an escalator safety detection method based on a double-cascade YOLOv8 architecture, which specifically comprises the following steps: adopting a staged task decoupling strategy: in the first stage, realizing positioning of an escalator running area (ROI) through a lightweight improved YOLOv8-Escalator-DET network, and effectively inhibiting interference of adjacent non-elevator areas (such as fixed stairs and floor transition zones); in the second stage, the ROI is input into a high-precision YOLOv8-POSE-DET network, and fine-grained analysis of the passenger posture is completed through multi-scale feature fusion and a shielding perception mechanism. According to the method, good balance between real-time performance and detection precision can be effectively realized, and the method is suitable for a real-time monitoring system with limited resources.

The invention discloses an escalator monitoring operation and maintenance method and system based on multi-source data fusion, and relates to the technical field of escalator operation and maintaining.The method comprises the steps that multi-source parameter collection is conducted on a target escalator, and a multi-source sensing data set is generated; transmitting the multi-source sensing data set to a data fusion processing center in real time; generating a fusion data set; running state monitoring of the target escalator is executed, and an early warning signal is sent out according to the monitoring risk value; and performing performance evaluation and risk grade division on the target escalator, executing a preventive maintenance decision, and sending the preventive maintenance decision to an operation and maintenance management user. The technical problems that in the prior art, monitoring of the running state of the escalator is not accurate, risks are difficult to perceive in time, and consequently the running safety and stability of the escalator are difficult to guarantee are solved, a perfect escalator intelligent operation and maintenance management system is constructed, and the safety and reliability of the escalator are improved. The technical effects of performance evaluation, risk grade division, preventive maintenance, environmental adaptability transformation, emergency response and service life evaluation are achieved.

The invention discloses an escalator operation environment monitoring and risk assessment method, and relates to the related field of escalator safety monitoring, and the method comprises the following steps: cooperatively carrying out escalator monitoring data acquisition; real-time receiving and transmission are carried out based on the Internet of Things; performing data association mining on the time sequence environment parameters and the time sequence operation parameters, and outputting environment risk association data; loading to an environment risk assessment model for operation risk assessment, and constructing an integrated assessment system from the aspects of structural stability, durability, safety protection and the like; and escalator operation and maintenance decision making is carried out according to the risk assessment result, multi-dimensional risk prevention and control and response are achieved, performance assessment, risk grade division and early warning are included, and preventive maintenance, environmental adaptability transformation and emergency response mechanisms are established. The technical problems that existing escalator risk assessment is incomplete in monitoring, not real-time, inaccurate in risk identification and insufficient in assessment result reliability are solved, and the technical effect of improving the risk identification accuracy and the assessment result reliability is achieved.

The invention provides an intelligent evaluation method and system for the running state of an escalator, and relates to the technical field of escalator safety maintaining.The method comprises the steps that multiple types of sensors are installed at key parts of the escalator, and a data acquisition layer is constructed to conduct real-time acquisition on the escalator; performing preprocessing through a data preprocessing layer; performing feature analysis and evaluation through the feature engineering layer, and determining an operation feature subset; a fault prediction data set is generated based on the fault prediction model layer, training verification is carried out through the model evaluation and optimization layer, the fault prediction model layer is optimized, and an escalator fault prediction result is output; and synchronizing to a fault early warning and maintenance decision-making layer for fault early warning, and making a maintenance decision of the escalator. According to the method and the device, the technical problems that potential safety hazards are difficult to find and safe operation evaluation of the escalator is affected due to the fact that the operation data of the escalator under various working conditions cannot be comprehensively obtained are solved, and the accuracy of operation evaluation of the escalator is improved.

The invention relates to a directional speaker system for a passenger transport system. A passenger transport system (100; 200); 300); 400, 400; 500); 600) comprises: a directional speaker system (106; 206, 206; 306; 406a-c, 406a-c; 506a-b, 506a-b; 606), the directional speaker system being configured to transmit an audio communication (120a-b; 220 a-b; 220 a-b; 320a-b; 320a-b; 420a-e) to a restricted target area (110a-b; 310a-b, 310a-b; 410a-b, 410a-b; 610a-c) in the formula (I). The use of a directional speaker system allows audio communications to be sent to a user (or to multiple users) without the need to broadcast messages more widely. Thus, other users of the system are not disturbed or distracted by messages that they are not interested in or are not related to.

The invention provides an escalator skirt panel and step gap detection method, electronic equipment and a medium, and relates to the technical field of visual detection.The method comprises the steps that a visual file is obtained, and the visual file comprises a target image, a first visual image of the previous frame of the target image and a second visual image of the next frame of the target image; the target image, the first visual image and the second visual image all have visual features used for representing gaps between skirt panels and steps of the escalator; based on a preset algorithm, a definition parameter in the target image is obtained, the definition parameter is used for representing the definition of the target image, and the definition parameter is in positive correlation with the definition; and determining a detection strategy of the gap based on the definition parameter. The method is suitable for continuous detection of the gap between the skirt panel and the step of the escalator.

An automatic transport device includes a first side and a second side opposite to each other, the first side includes a main drive device, a step drive wheel and a first handrail drive wheel in transmission connection with the main drive device, and the second side is provided with: a step driven wheel; a second handrail drive wheel, the handrail of the automatic transport device wraps around the first handrail drive wheel and the second handrail drive wheel; a first tensioning device and a first transmission member, the first tensioning device is capable of adjusting the movement of the step driven wheel relative to the step drive wheel, thereby maintaining the first transmission member between the step drive wheel and the step driven wheel in tension; and a second tensioning device and a second transmission member, the second handrail drive wheel is in transmission connection with the step driven wheel.

A passenger conveyance system (100; 200; 300; 400; 500; 600) comprising: a directional speaker system (106; 206; 306; 406a-c; 506a-b; 606) configured to transmit an audio communication (120a-b; 220a-b; 320a-b; 420a-e) into a restricted target area (110a-b; 310a-b; 410a-b; 610a-c). Using a directional speaker system allows audio communications to be sent to a user (or to multiple users) without broadcasting the message more widely. Thus other users of the system are not disturbed or distracted by messages that are not of interest to them or not relevant to them.

The invention discloses an escalator fault diagnosis method based on multi-sensor data input. The escalator fault diagnosis method comprises the four steps of escalator original data collection, data preprocessing, fault data set setting, escalator fault recognition and cloud model updating. According to the data preprocessing, escalator signal data are filtered through an improved wavelet threshold noise reduction method; the quality of escalator signal data is improved; the fault data set is set by fusing fault data of all parts and all types of the escalator, full utilization of the fault data of the escalator is achieved, and the richness of fault category signals is improved. According to fault identification, multi-sensor data is input into a CNN-GRU network, and the CNN-GRU network extracts features in the input data and obtains a final identification result. According to cloud model updating, the CNN-GRU model is optimized by using CFOA, a network model with the optimal CNN-GRU is constructed, the recognition precision is high, the generalization performance is good, and the method can be widely applied to the field of escalator fault diagnosis.

The invention discloses an escalator fault prediction system and method based on a vibration algorithm. The escalator fault prediction system comprises a data acquisition module, a cloud server and a monitoring center, the data acquisition module comprises a motor vibration sensor, a speed reducer vibration sensor, a main machine base vibration sensor, an oil temperature sensor, a main drive vibration sensor and a handrail belt temperature sensor, wherein the motor vibration sensor, the speed reducer vibration sensor, the main machine base vibration sensor and the oil temperature sensor are installed on an escalator main machine; the main drive vibration sensor is installed on a chain wheel on the upper portion of an escalator; the step chain extension position sensor and the step chain wheel vibration sensor are arranged on a chain wheel at the lower part of the escalator; the sensors are respectively connected with a signal input end of a data processing module of the cloud server through the Ethernet, a signal output end of the data processing module is connected with an intelligent diagnosis module, and the intelligent diagnosis module of the cloud server is connected with a visual display module of a monitoring center through 485 communication. According to the invention, comprehensive monitoring and accurate diagnosis of the key transmission part of the escalator can be realized.

The invention discloses an escalator for a large-capacity shopping cart, and aims to overcome the defects that in the prior art, when the large-capacity shopping cart is designed, a more protruding carriage needs to be designed, so that the turning radius of the escalator is increased, the size of the whole escalator equipment is increased, and the production cost is increased. The technical problem is solved through the following technical scheme: a truss is provided with a rear wheel transportation track and a carriage transportation track; the driving assembly comprises a driving main shaft, a drag chain wheel arranged on the driving main shaft and a driving main engine for driving the drag chain wheel to rotate; the dragging plate chain and the dragging plate are wound on the dragging chain wheel; one end of the dragging plate is rotationally arranged on a rotating shaft of the dragging plate chain, and the other end of the dragging plate abuts against the dragging plate conveying rail; the carriage is also provided with a carriage groove; the fluctuating angle of the dragging plate is adjusted along the track of the dragging plate conveying rail, so that the angle of the shopping cart is adjusted, and the shopping cart is prevented from interfering with the escalator.

A passenger conveyance system (100; 200; 300; 400; 500; 600) includes a directional speaker system (106; 206; 306; 406a-c; 506a-b; 606) configured to transmit an audio communication (120a-b; 220a-b; 320a-b; 420a-e) into a restricted target area (110a-b; 310a-b; 410a-b; 610a-c). Using a directional speaker system allows audio communications to be sent to a user (or to multiple users) without broadcasting the message more widely.

The invention discloses a step wheel state detection method and system, and the method comprises the steps: collecting a vibration signal of a step wheel through a high-frequency acceleration sensor, and carrying out the feature extraction of the vibration signal, and obtaining a dual-scale feature; dynamically adjusting the corresponding initial weight based on the dual-scale features through a pre-trained fault detection model to obtain a target feature weight; performing prediction processing based on the dual-scale features and the target feature weight to obtain a corresponding prediction state type, the prediction state type including a normal state and a fault state; and performing confidence calculation on the prediction state type based on the target feature weight to obtain a confidence result, and obtaining a comprehensive state detection result of the vibration signal based on the confidence result and the prediction state type. Real-time escalator step wheel state monitoring is achieved, the step wheel defects can be efficiently and accurately determined, the step wheel maintenance efficiency is improved, and the safety and reliability of an escalator are improved.

The invention discloses a monitoring and early warning device applied to an escalator band-type brake, relates to the related technical field of brake band-type brake testing, and solves the problems that data after monitoring of a brake for the escalator band-type brake is greatly different from data during actual installation and use, and the monitoring result does not conform to the specific use condition. The monitoring and early warning device applied to the escalator band-type brake comprises an equipment machine table, an automatic band-type brake monitoring mechanism, an escalator simulation assembly and an electrical cabinet, the top of the equipment machine table is provided with the automatic band-type brake monitoring mechanism, the automatic band-type brake monitoring mechanism comprises the escalator simulation assembly, and the automatic band-type brake monitoring mechanism is connected with the electrical cabinet through a wire. The electrical cabinet is installed on the top of the equipment machine table. According to the invention, through the escalator simulation assembly and adjustment of the operation speed of the escalator simulation assembly, the state of the brake when the brake is actually installed in the escalator and the band-type brake is used can be simulated, and the accuracy of the escalator brake during actual monitoring is improved.

To accurately ride on a footstep by an autonomous moving body single body.SOLUTION: An autonomous moving body according to an embodiment includes an imaging control unit configured to cause an imaging unit to capture an image of an area in front of the autonomous moving body when the autonomous moving body reaches an entrance / exit of a passenger conveyor, an image processing unit configured to analyze a pair of index objects in an image captured by the imaging unit, the pair of index objects being provided at bilaterally symmetrical positions on the passenger conveyor and serving as indexes for position adjustment, and a traveling control unit configured to control a driving unit to cause the autonomous moving body to travel, to adjust a position of the autonomous moving body based on the pair of index objects in the captured image such that a position of a center of gravity of the autonomous moving body coincides with a center position of a step in a width direction, and to cause the autonomous moving body to travel toward the step at the adjusted position.SELECTED DRAWING: Figure 8

The utility model discloses a slope protection support for ecological restoration of mines, comprising a first fixed plate, a first mounting shaft and a track body, wherein a toothed belt groove is provided inside the upper end surface of the track body, and limited position slide grooves are provided inside the two sides of the track body, and a plurality of groups of second limited position teeth are provided on the lower end surface of the track body, and a movable frame is provided outside the track body, and a transmission shaft is provided for rotation inside the movable frame, and gears are provided at both ends of the transmission shaft, and the gears are installed in meshing engagement with the toothed belt grooves, and a driven bevel gear is provided outside the center of the transmission shaft. The utility model drives the gear to move along the inner side of the toothed belt groove through the transmission shaft by the driven bevel gear, and at the same time drives the movable frame to move along the limited position slide groove through the slide rail, thereby making the slope protection support for ecological restoration more convenient to use, not only reducing the labor intensity of the seedling pullers and carpenters, but also improving safety and working efficiency.

To provide a passenger conveyor capable of keeping work smoothly such as an inspection of an autonomous movable body for a passenger conveyor and capable of preventing defects due to contacting between the third party and an autonomous movable body.SOLUTION: A passenger conveyor according to the present embodiment comprises a first detection unit to detect the intrusion to each of two getting on / off boards, a second detection unit to detect the intrusion in the range closer to the footstep side than the detection range of the first detection unit and on each of the two getting on / off boards, and a control device to control the passenger conveyor. The control device comprises an alarm output unit to output the alarm when the intrusion is detected by the first detection unit in the case that an autonomous movable body exists on the footstep, and a processing control unit to execute prescribed processing for intrusion prevention when the intrusion is detected by the second detection unit after outputting the alarm.SELECTED DRAWING: Figure 3

By providing elevator guidance to users with different attributes, we aim to prevent contact and congestion between users, improving user convenience. [Solution] The system comprises a camera that captures images of users near the escalator entrance, an attribute analysis unit that estimates and analyzes the attributes of the users based on the captured camera images, a dwell time measurement unit that measures the amount of time that users near the entrance spend at the entrance based on the camera images, a guidance device that is installed near the entrance and provides guidance information to users by audio and video, and a judgment processing unit that displays guidance information corresponding to the attributes and dwell time of the users at the entrance on the guidance device and notifies them by audio based on the user attribute information analyzed by the attribute analysis unit and the dwell time information measured by the dwell time measurement unit.

The invention relates to the technical field of intelligent security, and provides a computer vision technology-based elevator dangerous behavior real-time alarm method, which comprises the following steps of: capturing the activity condition of an elevator in real time through a camera, processing an RGB (Red, Green, Blue) image transmitted by the camera through an algorithm platform, and determining the accurate position of a person in the image through a target detection technology; and human body skeleton point detection is further performed according to the target detection result, and is compared with a preset elevator handrail area, so that actions such as head stretching, hand stretching and falling down are effectively recognized. Meanwhile, according to the moving direction of the human body detection frame, the system can judge whether the passenger runs reversely or not. Besides accurate identification and judgment of potential dangerous behaviors such as retrograde running, hand stretching and head stretching of passengers on the elevator, the method can also identify large luggage and elevator pedal gaps, and comprehensive application of various algorithms ensures operation safety of the elevator.

The utility model discloses an adding structure for noise reduction of step chains of an escalator. The escalator comprises two sets of step chains arranged side by side, a step shaft connected between the two sets of step chains, and idler wheels arranged on the step shaft. The adding structure is arranged at the rotation position of the step chain and comprises a tangential guide rail and an unloading guide rail. The tangential guide rail is arranged below the roller and is provided with a rail surface for guiding the roller to move; the unloading guide rail is arranged below a step chain and provided with a bearing face which extends in the running direction of the step chain and lifts chain pieces of the step chain. And a designed distance is formed between the bearing surface and the rail surface in the vertical direction. The step chain is lifted at the rotation position of the step chain, so that the impact force generated when the roller of the step chain is meshed with the step chain wheel is reduced, the noise generated when the step chain runs is effectively reduced, and the practicability is high.

The invention provides an escalator operation monitoring method and device, electronic equipment and a storage medium, and the method comprises the steps: collecting various key working state parameters of a to-be-monitored escalator during working through a sensor array arranged on the to-be-monitored escalator, the working state parameters are uploaded to edge computing equipment beside the escalator to be monitored, and the edge computing equipment evaluates the comprehensive health index of the escalator to be monitored; the edge computing device uploads the monitored working state parameters of the escalator and the evaluated comprehensive health index to the cloud end, and the cloud end continues to monitor the operation condition of the escalator according to the indication condition of the comprehensive health index. By means of the method, comprehensive understanding of the state of the escalator is enhanced, and therefore the fault rate and the maintenance cost are reduced.

To operate and stop a passenger conveyor at appropriate timing regardless of the specifications of the passenger conveyor when an autonomous mobile body is made to get on the passenger conveyor, and to make the autonomous mobile body get on at a position not affected by step movement of a footstep during operation.SOLUTION: An autonomous mobile body control system according to an embodiment comprises: a first detection unit that is provided below the vicinity of an end of a getting-on-and-off board facing footsteps and is capable of detecting a first gap which is a gap between two footsteps passing through the vicinity of the end; a second detection unit that is provided below the getting-on-and-off board at a position separated by a predetermined distance from an installation position of the first detection unit and is capable of detecting a second gap which is a gap between the two circulating footsteps; and a first determination unit that determines that an autonomous mobile body can get on the footsteps if, after detecting the first gap, the second gap is not yet detected by the second detection unit or if the second gap is detected consecutively.SELECTED DRAWING: Figure 1

The utility model discloses an automatic electric lifting escalator and an installation structure thereof. The automatic electric lifting escalator comprises a winch, a track and a control system used for controlling the winch. A pair of rails are arranged in an inclined mode, the longitudinal section of each rail is of a U-shaped structure with an outward opening, a sliding block is arranged in a groove of each rail, a rope is connected to the upper end of each sliding block, and the other end of each rope penetrates out of the groove upwards along the groove of the corresponding rail and then is connected with a winding roller of a winch. A winding groove matched with a rope is formed in a winding roller of the winch, the rope is arranged in the winding groove in a vortex winding mode through the winding groove, and non-metal noise reduction discs are arranged on the end faces, making contact with the rope, of the two sides in the winding groove respectively; vertical plates are connected to the outer sides of the sliding blocks, and a pedal is connected between the two vertical plates. According to the utility model, the lifting of the pedal is smoother and more stable, noise during working is avoided, and the use experience feeling of a user is improved.

To provide a passenger conveyor liquid-medicine spray device that allows passengers to use the moving handrail with peace of mind.SOLUTION: A passenger conveyor liquid-medicine spray device comprises a liquid-medicine spray device body 21a provided in the section constituting the entrance in the moving direction of multiple steps 4 of a passenger conveyor 1 and spraying the liquid-medicine having at least one of antibacterial, germicidal and disinfectant properties from a first spray port 15a to a moving handrail 6, a first detection part 30a to detect the passenger boarding a passenger conveyor 1, a second detection part 31a installed closer to the passenger conveyor 1 side than the first detection part 30a and to detect the passenger boarding the passenger conveyor 1, a walking speed calculation part 43 to calculate the passenger walking speed based on the detected information by the first detection part 30a and by the second detection part 31a, and a liquid-medicine spray control part 46 to activate the liquid-medicine spray device body 21a based on the calculated walking speed by the walking speed calculation part 43 and to cause the device to spray the chemical solution.SELECTED DRAWING: Figure 2

The intelligent monitoring system comprises a sensor assembly, a terminal controller and a man-machine interaction device, the sensor assembly comprises an infrared thermal imaging sensor, a microswitch sensor and a rotary encoder, the infrared thermal imaging sensor is arranged on a truss of a machine room of the escalator, the microswitch sensor is arranged on the truss of the machine room of the escalator, and the rotary encoder is arranged on the terminal controller. The microswitch sensor is arranged on the brake, and the rotary encoder is arranged on the driving wheel. The terminal controller comprises a power supply module, an MCU board, an RS485 / TTL module and an optical coupler isolation module, the power supply module is connected with the MCU board, the RS485 / TTL module is connected with the MCU board, the optical coupler isolation module is connected with the MCU board, the man-machine interaction device comprises a display screen, and the display screen is arranged in a monitoring room; the escalator comprises the intelligent monitoring system and further comprises a footpath, a driving device and handrails. The escalator brake state monitoring device has the advantages that the state of the escalator brake can be accurately monitored, manual operation is not needed, and interference and damage risks to the brake are reduced.

The invention provides an escalator running path sensing method based on sensor data. The escalator running path sensing method comprises the following steps: acquiring multi-source nine-axis sensor data; carrying out fusion and feature enhancement on the multi-source nine-axis sensor data; step 2, static state detection and scene classification; 3, escalator running direction judgment and cross-layer quantification are carried out; and 4, outputting a calculation result. According to the escalator running path sensing method based on the sensor data, high-precision and low-power-consumption vertical traffic scene recognition and motion trail reconstruction are achieved through a technical path of staged physical modeling and deep learning collaborative optimization.

To prevent an autonomous moving body from falling down or dropping when the autonomous moving body gets on a getting-on / off plate or a footstep.SOLUTION: In the autonomous moving body control system according to the embodiment, the passenger conveyor includes sign information that is provided on an upper surface of each of the plurality of steps and an upper surface of the landing platform and in which position information is recorded, and the autonomous moving body includes a detection unit that is provided toward a lower side of the main body and can read the sign information, an acquisition unit that acquires the position information from the sign information read by the detection unit, and a travel control unit that adjusts a position of the autonomous moving body based on the acquired position information and predetermined position information of the autonomous moving body.SELECTED DRAWING: Figure 9

The utility model relates to the technical field of escalators, in particular to an escalator, and aims to solve the technical problems that the junctions of steps of the conventional escalator are not obviously distinguished and are not provided with protection components, so that accidents are caused by mistaken stepping of customers. According to the technical scheme, the escalator comprises a supporting base, stairs, a handrail, glass, a limiting pad, a first cleaning assembly, a second cleaning assembly and a fixing assembly; the limiting pads are additionally arranged on an existing escalator, the rear sides of the limiting pads and the rear sides of the steps are located on the same plane, the colors of the limiting pads are distinguished from the colors of the steps, the steps can be distinguished conveniently, a customer can see a safety area between the two limiting pads at a glance, meanwhile, the limiting pads can limit and protect the customer, and the safety of the customer is improved. Therefore, the problems that the step junction of an existing escalator is not obviously distinguished, the escalator is not provided with a protection assembly, and accidents are caused due to the fact that the customers still mistakenly step on the escalator are solved.

The invention belongs to the technical field of escalator braking performance detection, and particularly discloses an elevator braking performance intelligent detection method and system.The method comprises the steps that a parameterized simulation model is built based on mechanical topology and dynamic characteristics of an escalator, and firstly, model initial calibration is completed through a no-load braking test; then, a gradient simulation load scheme is designed in combination with actual operation load distribution, advanced calibration is performed on the model through physical test data under multi-stage loads, and finally, accurate prediction of the full-load braking performance is realized by relying on a high-fidelity calibration model, so that actual measurement of full-load weights is not needed, the detection safety and efficiency are remarkably improved, and the detection efficiency is improved. And the problem of model mismatching caused by factors such as equipment aging and abrasion can be effectively solved through a data-driven iterative calibration mechanism, the long-term prediction precision is ensured, and reliable technical support is provided for normalized and intelligent evaluation of the braking performance.