361 results about "Dangerous environment" patented technology

The invention discloses a dangerous environment identification method based on a visual language model and a dynamic scene, particularly relates to the technical field of intelligent risk early warning, and is used for solving the problems of misjudgment and early warning lag caused by lack of event causal chain modeling in the dynamic scene in existing risk identification. According to the method, visual data flow and language description data are fused, a target motion track and a scene change sequence are extracted, a causal logic constraint set is constructed, space-time relevance is verified, a dangerous event causal chain is generated after high-confidence candidate events are screened, and finally a dynamic recognition result is generated based on causal chain overall risk quantification. Through dynamic rule adaptation and causal chain evolution rule matching, the random coexistence event and the real causal relationship are effectively distinguished, the problem of misjudgment caused by static rule stiffness in a traditional method is solved, and the reliability and the disposal timeliness of danger early warning in a complex dynamic scene are improved in combination with a global risk assessment mechanism.

The invention provides an inspection robot path optimization method and system based on dynamic obstacle avoidance, and the method comprises the steps: enabling an inspection robot to carry out the multi-layer convolution processing of gas and wind direction data through obtaining the turbulence data of a gas leakage source, the wind direction data of a meteorological station, and environment reflection feature data in real time, and generating a high-precision gas diffusion prediction map, meanwhile, a transparent obstacle optical contour and an unstructured obstacle geometric parameter are extracted from reflection data, and a three-dimensional space mapping relation with a gas diffusion diagram is established. On the basis of the mapping relation and the preset task priority, path control parameters are dynamically generated, global path node distribution is optimized, and the robot path is made to adapt to the composite risk environment of gas concentration sudden change and obstacle movement in real time. According to the invention, the dynamic obstacle avoidance precision and the safety response speed of the inspection robot path in a complex dangerous environment are improved.

The invention provides an unmanned aerial vehicle intelligent power line inspection system, and relates to the technical field of power line inspection. The unmanned aerial vehicle intelligent power line inspection system comprises an unmanned aerial vehicle platform which comprises an unmanned aerial vehicle body, a flight control system, a power system and a navigation system; the sensor module comprises a high-definition camera, an infrared camera, a laser radar and an ultrasonic sensor; the data processing module comprises an embedded processor, a data storage unit and a data transmission module and is used for processing and analyzing the data acquired by the sensor; the intelligent algorithm module is used for intelligently analyzing and judging the state of the power line; and the communication module comprises a wireless communication module and a satellite communication module and is used for realizing data transmission and remote control between the unmanned aerial vehicle and a ground control center. The unmanned aerial vehicle is used for replacing manual inspection, so that the work of personnel in dangerous environments such as high altitude and complex terrains is reduced, and the personnel risk is reduced.

The invention relates to a robot system based on multi-mode perception cooperation and an autonomous navigation method, and the robot system comprises a main body frame which is internally integrated with a central processing unit; the multi-mode sensing module comprises a binocular vision camera, a pressure-sensitive touch array, a microphone array and a gas sensor and is used for collecting environmental data; the flexible joint mechanical arm is composed of at least three bionic joints connected in series, and a shape memory alloy driver and an air pressure feedback device are arranged in each joint. The edge computing unit is in communication connection with the central processing unit and used for processing sensing data in real time and generating action instructions, and the core problems that a traditional robot system is insufficient in sensing capacity in a complex environment, mechanical arm rigid-flexible control is unbalanced, and dynamic scene response lags are solved. And a high-adaptability and high-reliability solution is provided for industrial automation, dangerous environment inspection and other scenes.

The invention relates to an air-ground collaborative exploration method in an unknown environment based on three-dimensional Gaussian splashing, and belongs to the field of air-ground robot collaborative exploration in a dangerous environment. The method comprises the following steps: S1, acquiring image data of a to-be-explored area by using an unmanned aerial vehicle, describing a complex scene and a differentiable rendering technology by using three-dimensional Gaussian distribution, accurately estimating a camera pose of the unmanned aerial vehicle and reconstructing a three-dimensional environment in real time by combining a simultaneous localization and mapping (SLAM) system, traversing a space and marking a series of key waypoints; step S2, the ground robot realizes accurate exploration of a local three-dimensional environment by using waypoints provided by the unmanned aerial vehicle and combining a collaborative mechanism of global planning and local planning; and S3, dynamically updating the path plan through the robot in the exploration process, and constructing a fine three-dimensional map of the exploration area. According to the invention, the air-ground robot can collaboratively explore the unknown environment and establish the environment map.

The invention relates to the field of robot control, and discloses an autonomous transfer robot control method, device, equipment and medium in an anti-explosion environment, and the method comprises the steps: collecting the multi-modal environment data of a target anti-explosion environment, carrying out the data correction of the multi-modal environment data, obtaining the multi-modal correction data, and storing the multi-modal correction data in a database; layered redundancy fusion positioning is carried out on the autonomous transfer robot by using the multi-modal correction data to obtain a real-time pose of the autonomous transfer robot, multi-source obstacle detection is carried out on a target anti-explosion environment by using the multi-modal correction data, a dynamic obstacle map is generated, and the real-time pose of the autonomous transfer robot is obtained. And constructing a structured semantic map of the target explosion-proof environment according to the multi-modal correction data and the dynamic obstacle map, and performing path planning and motion control on the autonomous transfer robot according to the real-time pose and the structured semantic map to obtain a target control result. According to the invention, the positioning and navigation stability of the autonomous transfer robot in explosion-proof dangerous environments such as smoke, dust, weak light and strong reflection is improved.

The invention discloses wearable electronic equipment for occupational environment health monitoring. The problems that existing fixed and handheld monitoring equipment is poor in real-time performance and insufficient in individual protection are solved. The wearable electronic equipment comprises a main control module, an environment sensing module, a positioning module, a motion sensor, an alarm module, a wireless communication module and a data storage module, the main control module processes the collected environment, position and activity state information, compares the information with a preset safety threshold value, immediately starts multi-mode grading alarm when dangerous parameters exceed the standard, uploads the information to a monitoring center or a cloud platform through dual-mode communication, and uploads a protection mode from passive response to active early warning. According to the invention, one-stop monitoring of a complex dangerous environment is realized, active continuous monitoring and active early warning can be realized without personnel operation, effective transmission of information is guaranteed by multi-mode alarm, an end-edge-cloud protection system is constructed, wearing is comfortable, operation is not affected, and all-weather safety monitoring is realized.

The invention relates to the technical field of oil chromatography automatic maintenance, and provides an oil chromatography automatic maintenance system and method based on a mobile robot, and the system comprises the mobile robot which comprises a mobile chassis, a robot body, a visual module and a laser radar; the robot body, the visual module and the laser radar are all arranged on the movable chassis; the central control machine is arranged on the movable chassis and comprises a data processing module, a navigation sensing module and a controller module; the data processing module is electrically connected with the monitoring platform, the navigation sensing module is electrically connected with the visual module and the laser radar through the data processing module, and the controller module is electrically connected with the robot body and the visual module through the data processing module. The system can realize real-time analysis of oil chromatography data and accurate positioning of faults, so that the maintenance process is more efficient and accurate. The oil chromatogram automatic maintenance system avoids the requirement that workers work in dangerous environments such as high pressure and high temperature.

The invention discloses a device and method for unfolding a flexible mold bag in an underground goaf of a coal mine, and belongs to the technical field of coal mine safety, the device comprises an anchor rod group used for fixing the flexible mold bag on a roadway coal wall and a suspension part fixed on a roadway top plate, the anchor rod group comprises a plurality of anchor rods, and the suspension part is used for fixing the flexible mold bag on the roadway coal wall. One end of the flexible mold bag is fixedly connected with the roadway coal wall through a plurality of anchor rods; one end of the suspension part is mounted at the top of a roadway coal wall, the other end of the suspension part is mounted on a roadway top plate far away from the roadway coal wall, a plurality of hanging rings are arranged on the suspension part, and the suspension part hangs the top of the flexible mold bag through the hanging rings; a rotating mechanism is arranged on the roadway top plate beside the hanging piece, a traction rope is arranged on the rotating mechanism, one end of the traction rope is connected with a hanging ring used for hanging the top of the other end of the flexible mold bag, and the other end of the traction rope is reserved outside the wind shielding curtain; according to the invention, the flexible mold bag can be conveniently, quickly and effectively unfolded in a dangerous environment in a goaf in a safe area of a roadway.

The invention relates to a leakage monitoring and emergency processing method and system for a positive-pressure explosion-proof robot. The method comprises the steps that running state data of the positive-pressure explosion-proof robot in the running process are captured through a multi-parameter linkage monitoring network composed of a gas sensor, a pressure sensor and a temperature sensor; secondly, feature processing is conducted on the data, and leakage feature values such as the gas concentration change rate, the pressure fluctuation amplitude and the temperature gradient are extracted; determining a leakage risk level according to a preset risk assessment model; based on the spatial distribution characteristic of the multi-parameter linkage monitoring network and the time sequence change rule of the leakage characteristic value, the leakage position is positioned and analyzed; according to an emergency processing instruction generated according to the leakage risk level and the leakage position, starting emergency processing measures in a targeted manner; according to the scheme, the operation safety and reliability of the positive-pressure explosion-proof robot in a dangerous environment can be improved.

Embodiments include thermal covers to help drain fluids away from dangerous environments, e.g., in an engine bay in a vehicle. Thermal covers can comprise a hat portion extending between two distal edges, support straps beneath the hat portion and extending between the distal edges, and thermal insulation disposed between the hat portion and the support straps. These can be coupled to the floor so as to allow space below for the flow of fluid. This allows the fluid to flow to holes in the floor of the engine bay, allowing the fluid (which could be flammable) to be drained away from potentially dangerous environments in the engine bay which may involve high temperatures.

The invention belongs to the technical field of industrial safety monitoring and emergency response, and discloses a dynamic response system and method for risk real-time assessment and early warning in a dangerous environment, and the system collects gas, personnel and environment data in real time through a multi-source sensor, builds a "instant-accumulation-prediction" three-dimensional risk model, and carries out the real-time assessment and early warning of the risk. And the safety threshold is dynamically adjusted according to the environmental parameters. Based on a multi-dimensional risk assessment result, the system automatically determines an early warning level, and synchronously triggers personnel terminal early warning information pushing and linkage control of ventilation, isolation doors and other devices. A reinforcement learning mechanism is innovatively introduced, the system can continuously optimize key parameters based on historical early warning event data, and a complete closed loop from risk perception, intelligent decision and linkage execution to self-optimization is realized. The system effectively solves the problems of single risk assessment, fixed threshold, response lag, lack of adaptive ability and the like in a traditional method, and significantly improves the accuracy, real-time performance and overall safety of dangerous environment risk management.

Devices and methods for detecting and reporting a battery tamper event with regard to an intrinsically-safe or explosion-proof device while the device is located in a hazardous environment. The device may include a location sensor for determining that the device is in a hazardous location. While in the hazardous location, the device may detect an open enclosure event using a sensor and, if so, it may monitor for detection of a battery tampering event. The battery tampering event may include battery replacement or battery charging. The battery tamper event may be reported to a remote server over a wireless channel when it occurs.

The utility model relates to the technical field of pneumatic control systems, in particular to a single-action pneumatic PST system, which comprises a pneumatic actuating mechanism, a cam valve and an explosion-proof junction box, a valve position transponder is arranged at the front end of the pneumatic actuating mechanism, one end of the cam valve is communicated with a filtering pressure reducing valve, one end of the filtering pressure reducing valve is communicated with a safety valve, and the other end of the filtering pressure reducing valve is communicated with an explosion-proof junction box. And one end of the explosion-proof junction box is connected with a first electromagnetic valve and a second electromagnetic valve respectively. According to the improved single-action pneumatic PST system, the first electromagnetic valve, the hand-operated direction valve and the second electromagnetic valve are adopted, and when the single-action pneumatic PST system is used, flexible control can be conducted when the single-action pneumatic PST system faces complex working conditions and different operation requirements; the explosion-proof junction box and the energy accumulator are adopted, when the single-action pneumatic PST system is used, the electrical safety of the system in a dangerous environment can be guaranteed, meanwhile, the pressure of the system can be kept within a relatively stable range, and the stability of the system during use is improved.

The invention provides a high-altitude falling detection method based on mobile terminal multi-sensor fusion, and the method comprises the steps: collecting the multi-sensor data of a mobile terminal, and carrying out the preprocessing of the multi-sensor data; processing the preprocessed multi-sensor data to obtain key features of high-altitude falling detection; and based on the high-altitude falling detection key features, high-altitude falling is detected. Through the method disclosed by the invention, whether the high-altitude operation personnel fall can be effectively monitored and identified, an intelligent safety guarantee means is provided for personnel in remote or dangerous environments such as high-altitude operation, field investigation, field exploration, field travel and the like, the response time after an accident occurs is shortened, and the safety of the personnel is improved. Therefore, the life safety of personnel is effectively guaranteed. The method is high in detection accuracy and has portability, usability and real-time performance.

The invention discloses a mechanical arm teleoperation training method based on force feedback, and the method comprises the steps: constructing a hot chamber virtual environment containing a mechanical arm model and an operation object through a scene simulation platform Unity, and configuring a joint position according to a real mechanical arm DH parameter; the dynamics simulation platform AppeliaSim builds a corresponding dynamics model, and an inverse kinematics solution and collision detection function is configured; integrating a force feedback device, and constructing a working space mapping model to convert hand motion into an expected pose of the tail end of the mechanical arm; the double platforms synchronize data through a dynamic link library, and the object control and force sense calculation module calculates collision force and bolt assembling and disassembling torque and transmits the collision force and the bolt assembling and disassembling torque to force feedback equipment. The method does not need to depend on a real mechanical arm, safety risks and high cost are avoided, training repeatability and pertinence are improved, immersion and operation precision are enhanced through force sense and visual sense synchronous feedback, the training period is shortened, and the method is suitable for fine operation training of the mechanical arm in a dangerous environment.

The invention relates to the technical field of intelligent environment detection, and particularly discloses an underground pipe gallery detection method based on a robot and a pipe gallery detection robot, and the method comprises the steps: obtaining the topological data of a pipe gallery through a multi-source sensing device, constructing a three-dimensional space model of the pipe gallery through the combination of a high-precision Beidou / UWB fusion positioning technology, and obtaining a three-dimensional space model of the pipe gallery; geometric parameters and initial defect distribution of the to-be-detected pipe gallery are marked; based on the three-dimensional space model, a pipe gallery detection robot is deployed, and multi-dimensional data of the pipe gallery environment and the equipment state are synchronously collected in the advancing process; according to the invention, robot inspection is introduced, so that personnel are prevented from being directly exposed in a dangerous environment, the safety risk of the inspection personnel is remarkably reduced, and the problem of high risk in manual inspection is effectively solved; meanwhile, through an automatic and intelligent robot inspection mode, the robot flexibly shuttles around the pipe gallery, all-directional and dead-corner-free detection of the pipe gallery is achieved, the inspection time is greatly shortened, and the detection comprehensiveness and accuracy are remarkably improved.

The invention discloses a multi-source information fused intelligent inspection system, method and equipment with a target guiding function. The system comprises an inspection management platform, a data base station, a wireless routing base station, a quadruped robot, a pose sensor and a multi-mode sensor unit, wherein the inspection management platform, the data base station, the wireless routing base station, the quadruped robot, the pose sensor and the multi-mode sensor unit comprise a laser radar, a visible light camera and an infrared thermal imager; a control processing terminal is arranged on the quadruped robot and is used for acquiring data acquired by the multi-mode sensor unit and the pose sensor, processing the acquired data and outputting a control signal according to external instruction data, so that the quadruped robot moves according to an inspection planning path; the multi-mode sensor unit and the pose sensor are controlled to work; and the inspection management platform is used for analyzing and processing the data acquired and processed by the control processing terminal, and outputting instruction data including an inspection planning path to the control processing terminal. According to the invention, the inspection safety of engineering scenes in dangerous environments such as underground spaces and tailings ponds can be improved.

The invention discloses a virtual sensory integration training method based on force feedback, and the method comprises the steps: constructing a hot chamber virtual environment containing a mechanical arm model and an operation object through a scene simulation platform, and configuring a joint position according to a real mechanical arm parameter; the dynamics simulation platform builds a corresponding dynamics model and configures inverse kinematics solution and collision detection functions; force feedback equipment is integrated, and a working space mapping model is constructed to convert hand motion into the expected pose of the tail end of the mechanical arm; the double platforms synchronize data through a dynamic link library, and a force sense calculation module calculates collision force and bolt assembling and disassembling torque and transmits the collision force and the bolt assembling and disassembling torque to force feedback equipment. The method does not need to depend on a real mechanical arm, safety risks and high cost are avoided, training repeatability and pertinence are improved, immersion and operation precision are enhanced through force sense and visual sense synchronous feedback, the training period is shortened, and the method is suitable for fine operation training of the mechanical arm in a dangerous environment.

The disclosure describes systems of navigating a hazardous environment. The system includes personal protective equipment (PPE) and computing device(s) configured to process sensor data from the PPE, generate pose data of an agent based on the processed sensor data, and track the pose data as the agent moves through the hazardous environment. The PPE may include an inertial measurement device to generate inertial data and a radar device to generate radar data for detecting a presence or arrangement of objects in a visually obscured environment. The PPE may include a thermal image capture device to generate thermal image data for detecting and classifying thermal features of the hazardous environment. The PPE may include one or more sensors to detect a fiducial marker in a visually obscured environment for identifying features in the visually obscured environment. In these ways, the systems may more safely navigate the agent through the hazardous environment.

The invention discloses a coal mine underground intelligent inspection robot multi-mode cooperative control system and method.The coal mine underground intelligent inspection robot multi-mode cooperative control system comprises an inspection robot body, a multi-mode sensor, a communication module, an intelligent controller, a cooperative navigation module and a data transmission module; the multi-mode sensor is used for capturing image and video data of an underground environment and comprises a visual camera, an infrared sensor, an ultrasonic sensor, a gas sensor, a temperature and humidity sensor and a vibration sensor; the multi-mode sensor monitors harmful gas, temperature, humidity and other parameters in the underground environment in real time, potential safety hazards are found in time, the system can early warn potential dangers in advance through the multi-mode sensor and an intelligent analysis algorithm, and therefore preventive measures are taken, and a robot replaces manpower to conduct routing inspection in the dangerous environment.

The invention discloses a multi-dimensional dynamic monitoring and early warning system and method for a dangerous environment of an explosion-proof unit, and the method comprises the steps: collecting node detection data and historical data in real time, generating a node feature vector, and completing the initialization; in each early warning period, fusing the node feature vector and the periodic feedback feature vector to form a periodic feature vector, inputting the periodic feature vector into an improved MobileNetV3 regression model, and outputting a danger deviation evolution trend fitting parameter; generating a multi-scale risk deviation curve family based on the fitting parameters, fusing the multi-scale risk deviation curve family into a comprehensive risk deviation curve, and dynamically adjusting each scale sliding window; scheduling a plurality of evaluation and prediction paths according to the node state difference quantity to output an early warning state; and after the period is ended, counting a path response contribution degree, resource consumption and a fitting error, constructing a path response evaluation tensor, calculating a path update weight and a hierarchical optimization model weight, and generating a period feedback feature vector to be recharged to the next period, so that global risk real-time prediction and adaptive closed-loop optimization of the explosion-proof unit in a dangerous environment are realized.

The utility model belongs to the technical field of laser processing, and particularly relates to a protection device and laser processing equipment. The protection device provided by the embodiment of the utility model comprises a mounting frame, a fireproof cloth curtain assembly and a protection assembly. The mounting frame is erected on the periphery of the external processing device; the fireproof cloth curtain assembly is connected with the mounting frame and mounted on the periphery of the external machining device. The protection assembly is connected with the installation frame, the protection assembly is movably arranged on the periphery of the external machining device, and the protection assembly can abut against the fireproof cloth curtain assembly so as to define a cover body used for protecting the external machining device. The laser processing equipment provided by the embodiment of the utility model comprises the protection device. According to the embodiment of the invention, a worker can observe the cutting head conveniently, and the worker can be prevented from being exposed in a dangerous environment.

The utility model discloses a railway open wagon exhaust auxiliary device which comprises a telescopic rod, a plurality of telescopic joints capable of extending and retracting step by step, two adjacent telescopic joints are fixed through a drum disc locking piece, and the end of at least one telescopic joint is provided with a hook. The accessory fixing assembly comprises a baffle fixed to the telescopic joint, a pressing plate movably connected to the telescopic joint, and an elastic piece fixed to the telescopic joint and used for driving the pressing plate to move towards the baffle. And the illuminating lamp is arranged towards the hook. According to the scheme, the recorder is fixed to a certain telescopic joint through the accessory fixing assembly, all the telescopic joints stretch out, a user holds the telescopic joint located at the end, the telescopic joint with the hook faces the target position, the illuminating lamp is turned on, manual air exhaust is achieved by pulling the hook, the operable range of the hand is prolonged, and the user can conveniently and rapidly exhaust air. The possibility that a user is in a dangerous environment is reduced, parts needing to be held by hands are integrated, one operator of the user is liberated, and the operation difficulty is reduced.

A system may include a camera, wherein the camera comprises at least a camera lens and a camera body, and wherein the camera lens and the camera body are oriented at an angle to a viewport and a source of radiation. A system may include a first surface mirror or second surface mirror operably placed in front of the camera lens, and wherein a surface of the first surface mirror or second surface mirror is coated with a reflective material. A system may include shielding, wherein the shielding protects the camera from gamma radiation.

The utility model discloses a camera lens protection mechanism belongs to camera lens accessories field, including camera main part, one side fixed connection of camera main part has lens body, the outside of lens body is wrapped with protection subassembly, is equipped with connecting assembly on the one side of protection subassembly to camera main part, protection subassembly is including the protection frame of the sleeve setting in the outside of lens body, the inside fixed connection of protection frame has the inside ring of wrapping in the outside of lens body, this camera lens protection mechanism, through setting up by drive motor, transmission screw, moving frame and linkage board constitute transmission system, can automatic control the opening and closing of two baffle, and user need not manual operation, can open baffle quickly when needing shooting, can close again after shooting ends, effectively avoided because manual operation is troublesome and missed the opportunity problem when shooting, greatly reduced the time of lens exposure in the dangerous environment such as dust, water vapor etc.

The present invention relates to a sensor module for a luminaire. A lighting system can include a luminaire located in a hazardous environment, where the luminaire includes a controller. The luminaire can also include a sensor module communicably coupled to the controller of the luminaire, where the sensor module includes a sensor module housing and a sensor disposed within the sensor module housing, where the sensor module housing includes a first coupling feature coupled to a hazardous location enclosure. The hazardous location enclosure and the sensor module, when coupled to one another, can comply with applicable standards for the hazardous environment.

The invention relates to the technical field of emergency power supplies, in particular to distributed photovoltaic micro-grid emergency power supply equipment which comprises a photovoltaic power generation unit, a wind power generation unit and a fuel cell power generation unit. The electric energy management module is electrically connected with the energy production module and the energy storage module, the core of the electric energy management module is a microcontroller, and the electric energy management module judges and executes an operation emergency mode according to the internal state data of the system; and the emergency power supply interface module is connected with the electric energy management module and comprises a traditional wired power supply interface and a wireless electric energy transmission unit. According to the invention, the risk of laying cables in a dangerous environment is thoroughly avoided through the wireless electric energy transmission interface, and rescue workers only need to place equipment in a power supply area for charging, so that the deployment speed and the operation safety are greatly improved; by integrating photovoltaic cells, wind cells and fuel cells, other energy sources can be supplemented in time when one energy source fails, and the continuous power supply capacity under severe conditions is remarkably enhanced.

The present invention relates to a safety device and an alarm method for a liquid ammonia tank truck. At present, the emergency shut-off valve of a liquid ammonia tank truck is manually controlled, and personnel are required to track and monitor the entire process of loading and unloading liquid ammonia, exposing personnel to a dangerous environment. A safety device for a liquid ammonia tank truck, comprising: a temperature sensor 1 (1), a temperature sensor 2 (2), a liquid ammonia tank truck valve box (3), a weight sensor (4) and a concentration sensor (5), wherein the temperature sensor 1, the temperature sensor 2, the weight sensor and the concentration sensor are respectively connected to an actuator (12), the temperature sensor 1 is installed at the bottom (outer wall) of the liquid ammonia tank truck (13), and the temperature sensor 2, the weight sensor and the concentration sensor are installed in the valve box of the liquid ammonia tank truck. The present invention is applied to the loading and unloading protection of dangerous goods in the chemical industry and the power industry.

The invention discloses a novel vacuum pneumatic solid material conveying and desilting robot which comprises a robot vehicle body and a walking crawler belt, the robot vehicle body advances and retreats through rotation of the walking crawler belt, and a driving wheel and a driven wheel which are rotationally connected with the robot vehicle body are installed in the walking crawler belt. According to the novel vacuum pneumatic solid material conveying and dredging robot, novel structural design is adopted, the automation and intelligence degree is high, unmanned entering is achieved, remote control is achieved, operation means are diverse, efficiency is high, the effect is good, shutdown, production stopping and operation stopping are not needed, production, life and operation are guaranteed to the maximum extent, unmanned entering is achieved in the dangerous environment, and personal safety is avoided. Complete equipment in the whole process does not need complex operation preparation and safety protection, and can be used after being started. The equipment can be reused, the comprehensive cost is greatly reduced, the operation process is completed in a closed loop, dust raising and pollutant throwing are avoided, a small amount of manpower is needed for ecological environmental protection, and the single-person single-shift capacity remote control is greatly improved.