103 results about "PatrolBot" patented technology

The invention discloses an autonomous cognitive algorithm of a patrol robot hidden area based on a 3D laser radar, and relates to the technical field of artificial intelligence. The invention provides an autonomous cognitive algorithm for a patrol robot hidden area based on a 3D laser radar. The autonomous cognitive algorithm comprises the following steps: acquiring a non-ground point cloud by adopting a ground point cloud filtering algorithm; for the obtained non-ground point clouds, dividing concentric circle regions according to Euclidean distances, and performing Euclidean clustering on the point clouds in the concentric circle regions to obtain clustered point cloud clusters; according to the point cloud cluster, calculating an axis alignment bounding box, and obtaining a hidden point coordinate; and according to the point cloud cluster, calculating a directional bounding box, and calculating coordinates of a shielding point in a sight line shielding mode, thereby automatically calculating and obtaining a shielding angle. Therefore, by the adoption of the method, the hidden area is reasonably selected according to the angle information in the patrol process through the 3D laser radar data, the hiding effect is achieved, the patrol task is better completed, and high robustness and practicability are achieved.

The invention belongs to the technical field of navigation, and particularly relates to a multi-sensor fusion robot high-precision positioning navigation system. Comprising a sensor array module, a data preprocessing module, a multi-source data fusion module, a dynamic environment modeling module and an autonomous positioning navigation control module, according to the multi-sensor fused high-precision robot positioning and navigation system disclosed by the invention, the high-precision positioning and navigation of the robot in a complex environment are realized by fusing data of various sensors and combining advanced data processing, fusion, modeling and control algorithms, and the system has a wide application prospect and remarkable technical advantages. The system is successfully applied to various mobile robot platforms such as an indoor cleaning robot, a storage AGV and a security patrol robot, the effectiveness, reliability and practicability of the system are fully proved, and powerful support is provided for development and application of the robot technology.

The invention discloses an intelligent crawler-type patrol robot for security and protection, and relates to the technical field of security and protection equipment. The intelligent crawler-type patrol robot for security and protection comprises a robot body, a monitor and a driving mechanism, the driving mechanism comprises a driving wheel and a rectangular sliding rail, a driven wheel is installed at the bottom of a sliding block in a rolling mode through a support, a walking crawler belt is installed between the surface of the driving wheel and the surface of the driven wheel, and a stair climbing assembly is installed on the surface of the robot body; the stair climbing assembly comprises a linear driver and a conical connector, the conical connector is slidably installed on the surface of the machine body and is installed over the supporting square column, the conical connector is integrally conical, a bent supporting plate is fixedly connected to the side of the top of the conical connector, a three-jaw frame is rotatably installed on the end face of the surface of the conical connector, and the three-jaw frame is fixedly connected with the bent supporting plate. The end part of the three-jaw frame is fixedly connected with a cylindrical block, so that the purpose of stable walking is achieved, the walking modes are diversified and stable, the adaptability is high, the vehicle is not easy to sink and incline, and safety and reliability are realized.

The present invention discloses a multi-terrain adaptive security patrol robot, which relates to the technical field of patrol robots. Due to the complex road conditions of the inspection route, when encountering obstacles, the robot cannot climb over the obstacles due to the limited driving force, which affects the patrol. The multi-terrain adaptive security patrol robot is adapted to the inclined sliding of the inclined surface block and the inclined pad. When encountering obstacles, the inclined pad compression spring is used to reduce the bumps to ensure the stability of the inspection screen. At the same time, when sliding, the driven wheel moves obliquely upward to assist the rotation of the driving wheel, so that the robot can better climb over obstacles, avoiding the robot's movement being affected by obstacles when inspecting routes with many obstacles.

The invention relates to the field of patrol robots, in particular to a patrol robot system with path planning and dynamic obstacle avoidance functions, and aims to solve the problems that patrol paths and patrol periods of patrol robots cannot be intelligently adjusted and patrol resources are easily allocated unreasonably. According to the method, statistics is carried out on abnormal conditions obtained by robot patrol, credibility judgment is carried out on the abnormal conditions, the patrol alarm function is achieved, when the abnormal conditions are not confirmed to be alarm conditions, the abnormal conditions are reserved, the patrol weight of the corresponding area is modified through the abnormal conditions, and the patrol accuracy is improved. Therefore, the residence time of an area with an abnormal condition is automatically and dynamically adjusted, the continuous observation time of the abnormal condition is prolonged, the security of a key area is improved, meanwhile, interference planning can be carried out on the moving condition of an obstacle and the movement of the obstacle, the influence of the obstacle is dynamically evaluated, and an obstacle avoidance route is temporarily planned. And secondary dynamic adjustment is realized, and the configuration of patrol resources is optimized.

The invention discloses a patrol robot based on computer vision. The visual language navigation module is combined with an environment image captured by a camera and a natural language processing technology, analyzes a human instruction and carries out navigation and positioning; the autonomous patrol and monitoring module is responsible for sensing the surrounding environment in real time, avoiding collision, optimizing a patrol route and monitoring animal behaviors and environment states at the same time; the intelligent identification and alarm module is responsible for intelligently identifying animal behaviors and judging animal states, and once abnormal conditions are detected, the patrol robot immediately sends alarm information; the environmental parameter monitoring and regulating module is responsible for monitoring environmental parameters in the farm in real time, and the patrol robot automatically or manually adjusts environmental equipment according to a monitoring result; according to the invention, through a visual language navigation technology, a voice instruction sent by a human can be accurately understood, an optimal patrol path is planned according to the voice instruction, and the problems of fixed path and insufficient flexibility in traditional navigation are avoided.

The invention discloses a lifting device for a patrol robot. The lifting device comprises a lifting rod mechanism, a speed reducer for providing power for the lifting rod mechanism and a controller connected with the speed reducer. The lifting rod mechanism comprises a plurality of pipe bodies, a transmission mechanism, a sequential locking mechanism, a locking connecting mechanism and a rod body base. A transmission mechanism is arranged in the pipe body and comprises a lead screw arranged on the central axis of the pipe body, a plurality of nuts arranged on the lead screw in a sleeving mode and connected with the bottom of the middle pipe and the bottom of the top pipe respectively, and a lead screw non-return device. When the robot platform provides a 28V direct-current voltage for the controller and serial communication receives a lifting instruction, the control module controls the driving module to start the motor, and the motor drives the speed reducer to drive the lead screw to rotate, so that the middle pipe and the top pipe are driven to ascend and descend. The lifting device with the multi-stage lifting function is simple in structure, few in equipment type, low in cost, good in maintainability, wide in application scene and low in failure rate.

The invention discloses a nursing home night safety management method and equipment, and the method and equipment are applied to an autonomous patrol robot, the autonomous patrol robot comprises an edge calculation unit and a multi-mode sensor, and the method comprises the steps: when the autonomous patrol robot patrols to a monitoring distance of a door, the edge calculation unit calculates the monitoring distance of the door; the edge calculation unit performs outdoor non-contact monitoring through a multi-modal sensor and acquires multi-modal sensing data; determining physical sign data of a human body according to the multi-modal sensing data; and carrying out association analysis on the physical sign data of the human body to obtain physical sign deviation information of the human body so as to carry out risk prediction on the old. Night safety management can be carried out on the nursing home more efficiently, and risk early warning can be carried out quickly and accurately.

The utility model discloses an automatic campus patrol robot based on visual SLAM (Simultaneous Localization and Mapping), relates to the technical field of automatic robots, and solves the problems of high manufacturing cost, poor convenience, excessive functions and limited adaptability of the automatic robots. Collected image data are transmitted to the Raspberry Pi, map construction is carried out on the collected image data and information collected by the laser radar, and an infrared temperature measurement dot matrix sensor and a gas sensor are used for collecting temperature and humidity information and air and gas component information. The system automatically starts a voice alarm and reports data to workers, and the campus patrol robot is simple in structure, small in size, light in weight, suitable for a campus environment where people are dense, capable of running on complex terrains by adopting crawler walking, good in stability, capable of replacing human beings to work in a dangerous or harmful environment and capable of working for a long time.

The utility model discloses a robot capable of supervising and patrolling, which comprises a patrolling robot 1, a protection part 2 and a binocular camera 3, the bottom of the protection part 2 is fixedly arranged at the top of the patrolling robot 1, and the bottom of the binocular camera 3 is fixedly arranged at the top of the protection part 2; the protection component 2 comprises a protection barrel 4, a power assembly 5 and a limiting assembly 6, the bottom of the protection barrel 4 is fixedly installed on the top of the patrol robot 1, the power assembly 5 is fixedly installed in the protection barrel 4, and the limiting assembly 6 is fixedly installed in the protection barrel 4. The protection device has a protection function, and avoids the situation that when the patrol robot 1 executes a task, the patrol robot 1 is impacted by sudden foreign objects and returns into the protection barrel 4 to cause different degrees of damage, serious structural damage from slight scraping and even faults of core components, not only the continuity and efficiency of the patrol task are directly influenced, but also the service life of the patrol robot 1 is prolonged. And meanwhile, the maintenance and repair cost is greatly increased.

The utility model provides a security patrol robot, which relates to the technical field of patrol robots and comprises a patrol robot, a protective cover for protecting a camera and a scraper blade for cleaning the surface of the protective cover. One side of the head of the patrol robot is fixedly connected with an arc-shaped shell, the head of the patrol robot is rotationally connected with an arc-shaped strip fixedly connected with the back face of a scraping plate, and the scraping plate reciprocates around the surface of the protective cover to clean the surface of the protective cover; cleaning water in the water tank is pumped into the arc-shaped shell through the water pump, the cleaning water is sprayed out of the multiple water outlet pipes on the same side of the arc-shaped shell to wash the side, facing the arc-shaped shell, of the scraper in the arc-shaped strip, dirt on the surface of the scraper is washed, and it is guaranteed that when the scraper swings back and forth, no mark is left on the surface of the protective cover, and the cleaning effect of the protective cover is affected.

1. The name of the product of this design: Patrol robot (unmanned camp security). 2. Purpose of the product of this design: A robot used for patrolling, monitoring and alarming in military camps. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the key points of the design: main view.

The invention relates to the technical field of AI patrol robots, in particular to an intelligent scheduling system and scheduling method for AI patrol robots. An intelligent scheduling system of an AI patrol robot comprises a scenic spot modeling device which constructs a scenic spot two-dimensional road network based on a scenic spot route map; the people counting device is used for counting the current tourist number of each node in the two-dimensional road network in real time and generating current people flow data; according to the intelligent scheduling system provided by the invention, the initial patrol plan is generated according to the future people number distribution prediction map of the scenic spot, the dynamic matching precision and adaptability of the patrol strategy and the real-time people flow density are remarkably improved, and the inherent limitation of a fixed route patrol mode is effectively overcome.

The present invention discloses an autonomous recognition algorithm for hidden areas of a patrol robot based on 3D laser radar, and relates to the field of artificial intelligence technology. The autonomous recognition algorithm for hidden areas of a patrol robot based on 3D laser radar provided by the present invention includes adopting a ground point cloud filtering algorithm to obtain non-ground point clouds; for the obtained non-ground point clouds, concentric circle areas are divided according to Euclidean distance, and the point clouds of the concentric circle areas are respectively subjected to Euclidean clustering to obtain clustered point cloud clusters; according to the point cloud clusters, axis-aligned bounding boxes are calculated, and the coordinates of hidden points are obtained; according to the point cloud clusters, their directional bounding boxes are calculated, and the coordinates of the blocked points are calculated by line of sight blocking, thereby automatically calculating the blocked angles. Therefore, by adopting the above method and utilizing 3D laser radar data, it is possible to reasonably select hidden areas according to angle information during the patrol process, achieve a hidden effect, and better complete the patrol task, and have high robustness and practicality.

The invention relates to an autonomous navigation patrol robot based on a three-dimensional laser radar and a GNSS and a remote control system, and belongs to the technical field of intelligent patrol and robots. The objective of the invention is to solve the problems of inaccurate positioning, weak obstacle avoidance capability and lack of remote cooperative control of an existing patrol robot in a complex environment. The robot integrates a three-dimensional laser radar, a global navigation satellite system, an inertial measurement unit and a camera, and realizes high-precision map construction, autonomous path planning and dynamic obstacle avoidance in combination with an automatic driving navigation framework. A matched remote control system supports multi-robot task scheduling, state monitoring and video viewing. The system has the advantages of being high in environmental adaptability, high in patrol efficiency, convenient to deploy and maintain, flexible in remote operation and the like, and is suitable for intelligent patrol application in scenes such as parks, campuses and commercial streets.

1. The name of this design product: Self-Patrol Robot (Rice Duck). 2. Purpose of this design product: to drive away ducks in rice fields. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The invention relates to the technical field of cleaning robots, in particular to a cleaning patrol robot. Comprising a robot body, the lower end of the robot body is rotationally connected with a sweeping disc, the upper end of the sweeping disc is concentrically and fixedly connected with an output shaft of a motor fixed to the lower end of the robot body, and a first cavity and a second cavity which are independent are formed in the upper end of the sweeping disc; the first rotary connector communicates with the first cavity and the first connecting pipe, the first connecting pipe communicates with a water tank in the robot body, the second rotary connector communicates with the second cavity and the second connecting pipe, the second connecting pipe communicates with a cleaning agent box in the robot body, and a liquid spraying opening is formed in the lower end of the cleaning disc. An inclined groove parallel to the liquid spraying opening is formed in the lower end of the cleaning disc on one side of the liquid spraying opening, a mounting plate is slidably arranged in the inclined groove, and a cleaning brush is fixed to the lower end of the mounting plate. According to the invention, the water spraying pressure and the cleaning agent flow can be automatically adjusted.

The patrol robot comprises a shell and a probe assembly, the probe assembly is located at the top of the shell, an opening is formed in the front end of the shell, a shovel plate is rotatably arranged in the opening, and a first conveying mechanism is arranged in the shovel plate; a first transmission mechanism is connected to one end of the shovel plate, a threaded rod is connected to one side of the first transmission mechanism through a bevel gear in a meshed mode, a sliding plate matched with the threaded rod is arranged in the shell in a sliding mode, and a second conveying mechanism is arranged on the sliding plate. Garbage shoveled in through a shovel plate can fall on a second conveying mechanism, solid garbage and liquid garbage are separated through filter holes in the second conveying mechanism, after garbage cleaning is completed, the shovel plate can rotate in a reset mode, in the process, a sliding plate slides in a reset mode, and the garbage can be conveniently cleaned. And then under the action of the second conveying mechanism, the solid garbage is discharged into the collecting box through the discharging opening.

The invention provides a data processing method for a rail-mounted patrol robot and a fixed monitoring camera. The method comprises the following steps: carrying out real-time target detection and identification on a video stream captured by the fixed monitoring camera by using a deep learning model; calculating homogeneous coordinates of the target in the coordinate system of the fixed monitoring camera by using the bounding box coordinates of the target in the image and the internal reference matrix of the fixed monitoring camera; converting the homogeneous coordinate of the target from a fixed monitoring camera coordinate system to a mobile camera coordinate system; performing target tracking by using a Kalman filter according to the position of the target in the mobile camera coordinate system, and predicting the position of the target at the next moment; according to the predicted position of the target, the moving distance of the rail-mounted patrol robot and the rotating angle of the moving camera are adjusted, so that the target is kept in the optimal observation view field; and updating the position of the target by using an image shot by the mobile camera, and feeding back to a coordinate system of the fixed monitoring camera to realize continuous tracking of the target.

The present invention relates to the technical field of security patrol equipment. The present application discloses a security patrol robot, comprising a bogie, a rack fixedly mounted on the back of the bogie, a first connecting rod fixedly mounted on the back of the bogie at positions on both sides of the rack, a connecting crossbeam fixedly mounted on one end of the first connecting rod, a contact plate fixedly mounted on the top of the connecting crossbeam, a sloped surface provided on the top of the contact plate, and a lower height in the middle of the top of the contact plate than at either end. The rack and contact plate move laterally, the height of the end of the swing arm contacting the contact plate increases, while the height of the end contacting the bottom of the telescopic plate decreases, the lock latch is unlocked from the outer surface of the ratchet, the power machine drives the drive wheel and the reversing device to rotate, the drive shaft and the active magnetic disk to rotate, thereby driving the passive magnetic disk and the third bevel gear to rotate synchronously, and the third bevel gear transmits the rotational torque to the fourth bevel gear via the second double-ended transmission rod, thereby achieving autonomous rotation of the monitor.

The invention discloses a rainproof patrol robot for outdoor patrol, and relates to the technical field of patrol robots, the rainproof patrol robot comprises a frame body, the middle of the bottom of the frame body is fixedly connected with the top of a lifting assembly, the front end of the frame body is fixedly connected with an extension plate, the extension plate is an inclined semi-ring plate, and the edge of the inner wall of the frame body is fixedly connected with a cover plate. The side, close to the frame body, of the cover plate is fixedly connected with inclined plates, the inner wall, close to the cover plate, of the frame body is provided with a groove, the inclined plates are located in the groove, the number of the inclined plates is multiple, and a camera body is arranged in the frame body. According to the rainproof patrol robot for outdoor patrol, a helical tooth sealing structure is formed by a plurality of inclined plates and grooves, and helical teeth are tightly matched to form a barrier, so that impurities can be effectively prevented from entering the camera body, and faults such as short circuit caused by moisture entering an electronic element can be avoided; and the service life of the camera body is effectively prolonged.

1. Name of the product in this design: Patrol Robot (Jing Xiao An 1). 2. Purpose of this design: for security patrol and inspection. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This invention provides an emergency response system, method, and medium for urban storage tanks based on a large-scale Internet of Things (IoT) model, relating to the field of urban storage tank emergency response. The method includes: acquiring the operating status of the storage tank at a first preset time; determining a state change value of the storage tank based on the operating status; in response to the state change value satisfying a first preset condition: acquiring storage tank monitoring data, and determining emergency control parameters based on the monitoring data, the emergency control parameters including the water mist spraying speed of a cooling device; and controlling the cooling device to spray water mist onto the outer wall of the storage tank based on the emergency control parameters. This method can promptly trigger an emergency mechanism in the early stages of an anomaly; and by using patrol robots to replace manual inspections of the area where the storage tank is located, while simultaneously collecting data in real time, it can improve inspection efficiency, the accuracy of safety warnings, and reduce the safety risks of the storage tank.

1. Name of the product under this design: Robot (Intelligent Fire Patrol Robot). 2. Purpose of this design product: This design product is used for an intelligent fire patrol robot. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The invention discloses a self-adaptive navigation system and method for an outdoor patrol robot, and belongs to the technical field of robot navigation. The problems that an existing patrol robot is poor in path adaptability, complex scene navigation stability is insufficient, and the intelligent degree is low are solved. The core of the technical scheme is that an original path is optimized through an angle constraint iterative smoothing algorithm, an included angle between adjacent line segments is calculated and corrected, a path point is adjusted in combination with a maximum allowable rotation angle of a robot chassis, and path smoothness and kinematics constraint matching are ensured through double iteration termination conditions; segmenting according to lane attribute consistency, and dividing path segments based on a preset attribute vector and a trigger condition; and finally, the robot adaptively adjusts a navigation strategy according to the attributes of each section. The method improves the path tracking precision and the driving stability, enhances the adaptability of the robot to different outdoor scenes, does not need complex manual calibration, reduces the operation and maintenance cost, and can be widely applied to unmanned patrol of multiple scenes such as parks and factories.

1.The name of the design product is: four-legged security patrol robot. 2.The use of the design product is: for indoor and outdoor all-terrain, all-scene, all-weather intelligent mobile monitoring and detection patrol, real-time information timely uploading to the background, finding abnormalities and timely notifying relevant personnel. 3.The design points of the design product are: the combination of shape and pattern. 4.The picture or photo that best indicates the design points is: perspective view.

The invention relates to a mobile temperature detector for a machine room, which comprises a machine room patrol robot body, one side of the machine room patrol robot body is provided with a charging auxiliary mechanism, the outer side of the machine room patrol robot body is provided with a protection auxiliary mechanism, and the protection auxiliary mechanism comprises a connecting plate, a buffer pad, an extension rod and a reset spring; according to the machine room patrol robot, through the arranged protection auxiliary mechanism, the protection auxiliary mechanism is arranged on the outer side of the machine room patrol robot body, on one hand, collision impact in the equipment operation process is effectively buffered, and physical damage to the machine room patrol robot body caused by obstacles in a complex channel of a machine room is reduced; and on the other hand, when the machine room patrol robot body collides, the protection auxiliary mechanism can generate a linkage effect.

1. Name of the product in this design: Patrol Robot (Jing Xiao An 2). 2. Purpose of this design: for security patrol and inspection. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention is suitable for the technical field of artificial intelligence, and provides a patrol robot task interruption processing method, which comprises the following steps: after a task interruption signal of a first patrol robot is received, first task information of a task originally executed by the first patrol robot is acquired, and the task interruption signal comprises interruption time and an interruption place; determining a first cost value of the originally executed task based on the first task information; if the first cost value is greater than a preset first cost value threshold value, scheduling a second patrol robot to execute an originally executed task based on the interruption time and the interruption place; and if the first cost value is smaller than a preset first cost value threshold value, the first patrol robot is scheduled to continue to execute the originally executed task. According to the method, interruption with low cost value is continuously executed by the original robot; and the interruption with high cost value is replaced by other robots, so that the empty driving range and the electric energy consumption of the robot are reduced, the endurance operation time of the robot is prolonged, and the task interruption handling efficiency is improved.

The invention discloses a hierarchical self-adaptive safety reinforcement learning system and method applied to a patrol robot, and the method comprises the steps: introducing a hierarchical safety factor strategy pool and a self-adaptive safety element strategy, and optimizing a potential risk assessment function through an SFGA; according to the method, the safety violation times (such as entering a forbidden area and colliding with a dynamic / static object too close to the forbidden area) can be comprehensively and remarkably reduced, and the average minimum safety distance is increased, so that dangerous behaviors are effectively avoided.