7 results about "Crowd control" patented technology

The invention discloses an intelligent dynamic guiding method based on a multi-agent system, and relates to the technical field of multi-agent systems, and the method comprises the following steps: S1, constructing an environment macroscopic state abstract tensor, and inputting the environment macroscopic state abstract tensor into an improved QMIX model; s2, extracting an optimal evacuation decision intention tensor; s3, constructing a local observation state tensor; s4, extracting an individual Q value tensor; s5, extracting a global team Q value; s6, generating an anti-fact state through the VRNN model, calculating time sequence differential loss, and jointly optimizing parameters of the whole QMIX model; and S7, based on the individual Q value tensor, selecting an evacuation guide action. The method overcomes the limitation that a traditional crowd guiding method depends on a fixed plan, the guiding strategy is single and response lags behind, and an efficient and accurate solution is provided for intelligent crowd flow management and control and cooperative guiding of large public places.

Techniques for determining information about an incident by one or more sensors in a streetlight, utility meter, and / or other device are described herein. A device proximate a sensor(s) can process sensor data to determine an incident type and / or an incident location in an environment. For example, the device can detect presence of a weather event, an accident, a crime, a crowd control event, a fire, a flood, and so on. In some examples, the device can identify other sensors in a vicinity of the incident (e.g., attached to other streetlights, utility meters, transformers, etc.), and select sensors for gathering additional information about the incident based on the incident type and / or the incident location.

The embodiment of the present specification provides a robot crowd control system and method, wherein the robot crowd control system comprises at least two robots and a crowd controller, each robot is connected with a receiver, comprising: the crowd controller broadcasts crowd control matching parameters to the receiver connected with each robot in response to a crowd control matching instruction submitted by a user; a target robot in the at least two robots establishes a crowd control communication link between the target receiver and the crowd controller according to the crowd control matching parameters, and records the identification of the crowd controller in the crowd control matching parameters in the target memory of the target receiver; the crowd controller broadcasts crowd control motion parameters to the receiver connected with each robot in response to a crowd control motion instruction submitted by a user; the target robot receives the crowd control motion parameters broadcast through the crowd control communication link through the target receiver; in the case that the crowd control motion parameters are verified to be passed according to the identification of the crowd controller recorded in the target memory, a target motion task associated with the crowd control motion parameters is executed.

The application discloses a kind of based on local crowd density and flow direction perception four-legged robot active crowd control method, belong to public security and intelligent robot technical field.Four-legged robot is based on the personnel position information in effective perception field of view obtained based on self sensor;Based on continuous multiple frame information, local dynamic probability grid map is constructed with robot as center, and crowd density of each grid unit is estimated;Personnel target is tracked across frame, and local crowd mainstream direction and average flow velocity are calculated;Risk level is calculated by fusing density, flow velocity and flow direction conflict factor, and future density trend is predicted;When meeting active intervention condition, optimal crowd control strategy is selected from preset candidate strategy set based on current local situation information and executed by robot.The application overcomes the limitation of prior art depending on global view, so that four-legged robot can realize prospective risk assessment and active crowd control only by relying on its own local perception, effectively improve the safety and crowd control efficiency of key node.

Techniques for determining information about an incident by one or more sensors in a streetlight, utility meter, and / or other device are described herein. A device proximate a sensor(s) can process sensor data to determine an incident type and / or an incident location in an environment. For example, the device can detect presence of a weather event, an accident, a crime, a crowd control event, a fire, a flood, and so on. In some examples, the device can identify other sensors in a vicinity of the incident (e.g., attached to other streetlights, utility meters, transformers, etc.), and select sensors for gathering additional information about the incident based on the incident type and / or the incident location.

This specification provides a robot swarm control system and method. The robot swarm control system includes a swarm controller and multiple robots. When a target robot among the multiple robots forms a temporary wired communication link with the swarm controller via a physical connection interface, it reads the controller identification information corresponding to the swarm controller and establishes a communication identity binding relationship with the swarm controller based on the controller identification information. A wireless channel for bidirectional communication with the swarm controller is established based on the communication identity binding relationship. The wireless channel is constructed based on a radio frequency communication chip and operates in the target frequency band. When the swarm controller establishes wireless channels with each of the multiple robots, it responds to robot control operations by sending control commands to each robot through the wireless channels established with each robot. The target robot verifies the control commands through a hardware protocol layer. If the verification passes, it executes the motion task associated with the control commands.

The application discloses an intelligent dynamic guiding method based on a multi-agent system, relates to the technical field of multi-agent systems, and comprises the following steps: S1, constructing an environment macrostate summary tensor and inputting the same into an improved QMIX model; S2, extracting an optimal evacuation decision intention tensor; S3, constructing a local observation state tensor; S4, extracting an individual Q value tensor; S5, extracting a global team Q value; S6, generating counterfactual states through a VRNN model, calculating a time series difference loss, and jointly optimizing parameters of the entire QMIX model; and S7, selecting an evacuation guiding action based on the individual Q value tensor. The method overcomes the limitations of traditional crowd guiding methods, such as dependence on fixed plans, single guiding strategy and response lag, and provides an efficient and accurate solution for intelligent crowd control and collaborative guidance in large public places.