62 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 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 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.

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.

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 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 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.

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.

1. Name of the product in this design: Security Patrol Robot. 2. Purpose of this design: Robot for security patrol. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

A patrol robot including a plurality of magnetic sensors for detecting a magnetic marker laid on a traveling road has at least two or more magnetic sensors arrayed on a sensor array line linearly extending along any direction. In the patrol robot, two sensor array lines are formed, and since at least any one sensor array line can cross with respect to a relative moving direction of the magnetic marker with a movement of the patrol robot, the magnetic marker can be detected with high reliability, irrespective of the moving mode.

The application provides a step-down power supply starting circuit, which comprises a step-down power supply chip module, a current limiting module, an energy storage module, a hardware control module and a software control module. The hardware control module and the software control module are synchronously set, so that the software can still take over the control of the starting of the power supply starting circuit after the hardware control fails. The starting mode is flexible, and the circuit uses a power supply chip, so the price is low. The current limiting module and the energy storage module are added after the step-down voltage conversion module and before the load, the current required by the load is limited by the current limiting module, the hardware damage caused by overcurrent in the power-on moment is prevented, the rear stage of the step-down power supply starting circuit can start with the load, and the application occasions are wide.

Provided are an early warning and emergency device for a sudden stress change in surrounding rock and a method of use, which relates to the technical field of underground mining. The device includes a front shell, a rotating body, a rear shell, a driving device, a stress monitoring unit, an acoustic and optical early warning unit, a high-pressure jet mechanism, and a data analysis controller. By using the device of the present disclosure, a cloud map of sudden stress changes in surrounding rock can be formed in real time, timely monitoring can be carried out in a case where the stress in the surrounding rock undergoes a high-intensity sudden change, the self-positioning temporary patrol robot is mobilized to perform temporary support for the sudden stress change point of the surrounding rock and timely transmit a sudden stress change early warning signal to remind nearby workers to evacuate in time.

The application discloses a kind of based on patrol robot's fall behavior detection method, comprising: control patrol robot moves in preset place, and the image signal of the preset place is collected;Image information is detected for fall behavior, and the human body information of suspected fall state is obtained;The key point detection is carried out to the human body information of suspected fall state, and the human body key point information and its confidence are obtained;According to the filtering logic of preestablished, the human body key point information and its confidence are screened, and fall behavior person is obtained.The application effectively solves the problems of missing detection and false detection, complex deployment and high detection cost in the prior art when detecting fall behavior.

1. The name of the design product: outdoor security patrol robot. 2. The use of the design product: for performing prevention and control tasks and real-time monitoring outdoors. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

This invention relates to the field of DQN algorithm technology, and particularly to an autonomous navigation method for an indoor patrol robot based on an improved DQN algorithm. The method includes: S1, the patrol robot perceives its surrounding environment and combines this with its own position information and the target points it intends to reach to form a state space. Several target points are sequentially set in the state space and used as inputs to the DQN algorithm; S2, the objective function of the DQN algorithm is improved so that the target points continuously change from starting points until the last target point; S3, the convergence speed of the DQN algorithm is improved by modifying the reward / penalty function r. This invention improves the DQN algorithm to avoid the problem of the algorithm getting stuck in an infinite loop; it segments the robot's path, greatly reducing the number of iterations of the DQN algorithm; and it accelerates the convergence speed of the DQN algorithm by improving the reward / penalty function, thereby completing the task of autonomous navigation for the indoor patrol robot.

1. The name of the design product: indoor security patrol robot. 2. The use of the design product: for real-time monitoring and patrol in the room. 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 is suitable for the technical field of artificial intelligence, and provides a mobile booth tracking method, which comprises the following steps: when a fixed camera in a current area detects a mobile booth to be tracked, determining event persistence and a moving direction of the mobile booth to be tracked; according to the event persistence and the moving direction, determining a next area to which the to-be-tracked flowing stall goes; if the untrackable distance between the next area and the current area is greater than the preset distance, searching a patrol robot in a predetermined area; wherein the preset distance is dynamically set according to the event occurrence probability between the current area and the next area; and when the event discovery probability of the patrol robot is smaller than a preset event discovery probability, scheduling the patrol robot to execute a tracking task for the to-be-tracked event between the current area and the next area. According to the invention, through cooperation of the fixed camera and the patrol robot, cross-region seamless continuous tracking of the mobile stalls is realized, and the resource utilization efficiency is improved.