Autonomous mobile fire-fighting robot capable of automatic detection and fire extinguishment, and control method thereof

Abstract

The invention discloses an autonomous mobile fire-fighting robot capable of automatic detection and fire extinguishment, and a control method thereof. The autonomous mobile fire-fighting robot comprises a robot body, wherein a mobile chassis and an image-video acquisition module are arranged on the robot body, the front, rear, left and right parts of the mobile chassis are provided with wheels, a control system is arranged inside the robot body, the control system comprises a fire extinguishing system, an inertial navigation module, a laser navigation module, a core controller, a data storage module, a power supply module, a sensor unit, a video processing module, a motion control unit and an intelligent instrument, and the core controller is connected with the fire extinguishing system, the inertial navigation module, the laser navigation module, the data storage module, the sensor unit, the video processing module and the motion control unit. The control method of the autonomous mobile fire-fighting robot realizes autonomous starting and autonomous moving functions, is used for detecting temperature, sparks and fire situations in real time during the patrol process, and implements the autonomous fire extinguishing function immediately once a fire is discovered.

Description

technical field [0001] The invention relates to a fire-fighting robot, in particular to a fire-fighting robot that moves autonomously and automatically detects and extinguishes fires and a control method thereof. Background technique [0002] Fire refers to the disaster caused by burning out of control in time or space. Among various disasters, fire is one of the main disasters that most frequently and commonly threaten public safety and social development. One of the most common places where fires occur is the factory building, and there are probably the following reasons for the fire in the factory building: [0003] 1. Quantity problem, if the quantity is too large, there is a certain probability of fire; [0004] 2. The production in the factory has a certain fire hazard, which includes the production process, raw materials and products produced, etc.; [0005] 3. The plant did not comply with the fire protection regulations in the management; [0006] 4. The fire-fi...

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Problems solved by technology

[0003] 1. The problem of quantity, if the quantity is too large, there is a certain probability of fire;

[0004] 2. The production in the factory has a certain fire hazard, which includes the production process, raw materials and products produced, etc.;

[0005] 3. The plant did not comply with the fire protection regulations in the management;

[0006] 4. The fire-fighting facilities of the plant do not meet the fire-fighting requirements;

[0007] 5. There are illegal matters such as violation of process operation

[0008] Therefore, it is particularly important to avoid fires in factories to reduce public property safety and personal safety. However, at present, the fire detection of factories and the patrol of the site are all detected by humans or patrol robots: general human detection is due to human factors (such as: laziness, forgetting and other reasons) finally did not find out in time and affected the best time to put out the fire. At the same time, once the fire was discovered artificially, the fire time had passed for a period of time, and the fire itself was already difficult to control. It also takes a certain amount of time for the arrival of the fire, which leads to poor fire control effect and affects the fire extinguishing effect. The current patrol robots generally use a separate navigation system to patrol, and there are more or less navigation problems that ultimately affect the patrol effect, for example: Inertial navigation has the disadvantages that the positioning error increases with time, and the long-term accuracy of the system is poor. However, the variability and maintainability of the magnetic navigation method are poor, and it is not very flexible. It is particularly important to improve the navigation accuracy of the plant fire fighting equipment

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