82 results about "PatrolBot" patented technology

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 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 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 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.

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 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.

1. The name of the design product: patrol robot. 2. The use of the design product: patrol robot for mobile or fixed security, patrol monitoring in different scenes. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention belongs to the technical field of coal mine tunnel fire prevention, and particularly provides a coal mine underground multi-layer fireproof isolation belt automatic laying device which comprises a track, a walking device, a transportation mechanism, a patrol robot and a fire fighting system. A fire extinguishing agent in a fire-fighting pipeline is injected into the fireproof bag, and the fireproof bag is filled and expanded to block the position of a coal mine which is about to be isolated and fireproof, so that the purpose of isolating a mine tunnel is achieved, and the problems that when an existing underground coal mine fireproof isolation belt is laid, the danger is large, the number of construction steps is large, and the construction time is long are effectively solved. And in addition, the track robot in the existing mature technology can accurately navigate and automatically distribute a fireproof isolation belt to adapt to a complex environment, and meanwhile, an automatic supply system and a remote monitoring function are arranged, so that the safety and efficiency of underground fireproof work are greatly improved.

The patrol robot comprises a patrol car body, a first support and an annular base, a plurality of monitoring modules are evenly distributed on the annular base along the circumference, each monitoring module comprises a monitoring camera and a fixing sleeve fixedly arranged outside the monitoring camera in a sleeving mode, and swing shafts are coaxially arranged on the two sides of each fixing sleeve; the swing shafts are rotatably arranged on the annular seat, a swing driving device is further arranged on the first support, and the swing driving device can simultaneously drive all the monitoring cameras to swing up and down with the respective swing shafts as pivots; a plurality of monitoring modules are annularly distributed and are matched with a synchronous swinging mechanism, so that horizontal 360-degree dead-corner-free monitoring is realized, and meanwhile, a dynamic visual angle in the vertical direction is covered by vertical swinging, so that blind areas are reduced; the fixing sleeve and the swing shaft are integrally designed, transmission parts are prevented from being exposed out of a traditional holder, the overall size is reduced, and the holder adapts to narrow patrol scenes.

The invention discloses an autonomous patrol robot and an intelligent power grid peccancy detection method, the autonomous patrol robot comprises a four-wheel differential chassis and a control center, the control center remotely controls the four-wheel differential chassis, and the four-wheel differential chassis comprises an inertial navigation module, a dual-light camera, a self-tracking module, a four-way electronic speed controller module and an embedded driving module; the control center comprises a voice talkback module; the method comprises the steps that the dual-light camera shoots a field image and inputs the field image into the target detection model network, the target detection model network detects the field image and generates corresponding field image data, and the self-tracking module identifies violation information in the field image data according to a sample database and detects a corresponding violation object at the same time. The control center receives violation information and sends a corresponding tracking instruction to the embedded driving module, the control center stores the violation information and a corresponding violation object, and the embedded driving module drives the autonomous patrol robot to move to the violation object according to the tracking instruction.

The present invention discloses a method for detecting climbing-over-wall behavior based on a patrol robot, including: acquiring image information in different scenarios collected by a camera on the patrol robot; performing wall detection on the image information by means of a semantic segmentation method based on deep learning to obtain the wall area in the image information; analyzing the wall area by means of image processing and statistical methods to obtain the upper edge information and lower edge information of the wall; performing human body detection on the image information by means of a deep learning object detection method to obtain the human body information in the image information; judging the climbing-over-wall behavior according to the human body information, the upper edge information and the lower edge information of the wall; and outputting an alarm message according to the judgment result of the climbing-over-wall behavior. The present invention solves the problems existing in the existing detection of climbing-over-wall behavior, such as fixed detection angle, poor accuracy and high cost, and realizes multi-scenario and multi-angle patrol detection.

The present application relates to the field of fruit monitoring, and discloses a dragon fruit growth monitoring method, device, equipment and storage medium, which is used for monitoring the growth state of dragon fruit; the method comprises the following steps: acquiring position information and basic information of a dragon fruit tree, establishing an identity card of the dragon fruit tree and a dragon fruit file according to the position information and the basic information of the dragon fruit tree; planning a patrol route, and controlling a patrol robot to collect real-time images of the dragon fruit tree according to the patrol route; identifying the position information and the fruit hanging amount of the dragon fruit tree according to the collected real-time images, and detecting the fruit maturity of the dragon fruit tree; confirming the identity card of the dragon fruit tree according to the identified position information of the dragon fruit tree, and updating the dragon fruit file corresponding to the identity card of the dragon fruit tree according to the collected real-time images, the identified fruit hanging amount of the dragon fruit tree and the detected fruit maturity of the dragon fruit tree.

The present invention discloses a method for monitoring the traffic status of a high-speed tunnel based on a tunnel patrol robot. The tunnel patrol robot acquires continuous-frame patrol images in the tunnel according to a preset acquisition task, and at the same time, after patrolling in the tunnel at a fixed camera angle according to the preset patrol task, relationship M is obtained; the continuous-frame patrol images are input into a multi-task head neural network model for detection, and vehicle target detection result information and lane line detection result information are output; the vehicle target detection result information is tracked based on the continuous-frame patrol images to obtain target vehicle information; ID information is assigned to the target vehicle information and the target vehicle information is framed by a detection box; according to relationship M, the target vehicle information, and the lane line detection result information, the driving state of the vehicle corresponding to the target vehicle information is analyzed, and an alarm is given to the vehicle with an abnormal driving state; full-tunnel coverage is achieved to realize comprehensive monitoring.

1. The name of the design product: water patrol robot. 2. The use of the design product: for marine investigation, water quality monitoring, hydrological survey, unmanned scientific research, water patrol and other water activities. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The invention discloses an intelligent security patrol robot, and relates to the technical field of security intelligent equipment, the intelligent security patrol robot comprises a frame body and a turntable, an adjusting mechanism is arranged in a built-in groove in the top of the frame body, and a stand column is fixed above the frame body close to the adjusting mechanism. According to the intelligent security and protection patrol robot, a double-shaft motor in the adjusting mechanism can drive a third bevel gear and a first bevel gear to be engaged with a fourth bevel gear and a second bevel gear through vertical movement, the longitudinal position and direction of a camera shooting assembly are adjusted, meanwhile, a locking rod limits an undriven object, accidental starting is prevented, and the safety of the robot is improved. According to the intelligent security patrol robot, under the condition that the whole robot is not moved, the shooting range can be enlarged, unnecessary energy consumption can be reduced, when the intelligent security patrol robot is used, articles or tools can be carried through the bearing plate and the auxiliary mechanism, the auxiliary effect is provided for security work, and the flexibility and the working efficiency of the intelligent security patrol robot are improved.