A method for managing and controlling interaction restrictions and safety alternatives in extreme environments for intelligent organisms

Abstract

This invention discloses a method for managing and controlling interaction restrictions and safe alternatives in extreme environments for intelligent robots, belonging to the field of intelligent robot safety control technology. This method uses an environmental perception module to acquire environmental threat characteristics, a threat identification module to classify and generate environmental threat types in real time, a rule matching module to retrieve corresponding restriction rules and safe alternative action parameters, and an execution drive module to reject dangerous commands and execute safe alternative actions. This invention can be implemented using pure digital logic circuits, featuring fast response speed, high reliability, and strong resistance to interference in extreme environments. It can be applied to various intelligent robot scenarios such as industrial inspection, field exploration, and military reconnaissance.

Description

Technical Field

[0001] This invention relates to the field of intelligent robot safety control technology, and in particular to a method and device for controlling and managing extreme environment interaction restrictions and safety alternatives for intelligent robots. Background Technology

[0002] Intelligent robots are being used more and more widely in extreme environments, but most existing safety control systems are implemented in software, which presents the following technical problems: 1. Security needs improvement: The software system may become unstable in extreme environments, leading to the failure of security protections; 2. High response latency: The software execution requires multiple steps, making it difficult to execute safety actions in a timely manner under extremely dangerous conditions; 3. Insufficient anti-interference capability: The software system is susceptible to interference in extreme environments such as strong electromagnetic fields and strong vibrations; 4. Limited protection scope: Most can only provide simple security protection and are unable to cope with complex and ever-changing extreme environmental threats.

[0003] Therefore, there is a need in this field for a smart body safety management technology that has high reliability, fast response speed, and strong anti-interference ability in extreme environments. Summary of the Invention

[0004] The purpose of this invention is to provide a method and apparatus for controlling and managing interaction restrictions and safety alternatives in extreme environments for intelligent machines, so as to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: A method for controlling interaction restrictions and safe alternatives in extreme environments for intelligent machines includes the following steps: S1. Obtain environmental threat characteristic data of the environment in which the intelligent organism is located through the environmental perception module; S2. The feature data is classified in real time by the threat identification module to generate an environmental threat type identifier; S3. The rule matching module retrieves the preset prohibition rules and security alternative action parameters corresponding to the environmental threat type from the rule storage module based on the environmental threat type identifier. S4. By executing the driving module according to the preset prohibition rules and safety alternative action parameters, the intelligent body is controlled to refuse to execute dangerous instructions and execute the corresponding safety alternative actions.

[0006] The core functional module can be implemented by pure digital logic circuits; the rule storage module can adopt a rule register group, and the relevant rules and parameters can be fixed in the non-volatile storage circuit when the intelligent body is powered on and initialized, and cannot be modified during operation.

[0007] The functional modules of this invention can be distributed locally on the intelligent machine and / or on remote servers according to actual needs. The technical solutions implemented through distributed computing fall within the protection scope of this invention. The functional modules described in this invention can be implemented using pure digital logic circuits, microprocessor-executed software code, FPGA firmware, ASIC circuits, etc.

[0008] The present invention also provides an extreme environment interaction prohibition and safety alternative control circuit device for intelligent organisms, comprising an environment sensing circuit, a threat identification logic circuit, a rule register group, a priority arbitration logic circuit and an execution drive circuit connected in sequence. Beneficial effects

[0009] 1. High reliability: The pure hardware implementation has good stability in extreme environments and is less prone to instability. 2. Fast response speed: The response latency can be reduced to the microsecond level, enabling timely execution of safety actions in extremely dangerous situations; 3. Strong anti-interference capability: Pure digital logic circuits have good anti-interference capability in extreme environments such as strong electromagnetic fields and strong vibrations; 4. Broad protection scope: It can identify various extreme environmental threats and perform corresponding safety protection actions, which helps to comprehensively protect the safety of intelligent machines and users.

[0010] Ethical Compliance Statement The data collection and processing procedures involved in this invention comply with the requirements of relevant laws and regulations. Only environmental and vital sign data necessary for achieving security control are collected. No sensitive personal information unrelated to the purpose of this invention is collected. Furthermore, all data is processed locally and is not uploaded to third-party servers. Detailed Implementation

[0011] The present invention will now be described in detail with reference to specific embodiments.

[0012] A method for controlling interaction restrictions and safe alternatives in extreme environments for intelligent machines includes the following steps: S1. Obtain environmental threat characteristic data of the environment in which the intelligent organism is located through the environmental perception module; S2. The feature data is classified in real time by the threat identification module to generate an environmental threat type identifier; S3. The rule matching module retrieves the preset prohibition rules and security alternative action parameters corresponding to the environmental threat type from the rule storage module based on the environmental threat type identifier. S4. By executing the driving module according to the preset prohibition rules and safety alternative action parameters, the intelligent body is controlled to refuse to execute dangerous instructions and execute the corresponding safety alternative actions.

[0013] When the atmospheric electric field strength exceeds 10kV / m, a thunderstorm weather scenario is identified. At this time, all outdoor movement commands are rejected, the voice prompt circuit is triggered to play a thunderstorm prohibition warning, and indicator lights flash as an alarm. The aircraft will not perform any outdoor movement during a thunderstorm to protect itself and personnel safety.

[0014] When a magnetic field strength exceeding 100 mT is detected, it is determined to be a strong magnetic field environment. At this point, movement in the direction of increasing magnetic field strength is refused, and the aircraft is forced to retreat 10 meters in the direction of decreasing magnetic field strength. Simultaneously, magnetometer data is disabled, and the system switches to pure visual navigation mode. The aircraft actively moves away from the strong magnetic field area to protect the permanent magnet motor from demagnetization.

[0015] When the water immersion sensor is triggered and the depth vision sensor determines that the area is a wading or muddy zone, the scenario is classified as wading or muddy. At this time, all commands to move into the wading or muddy area are rejected. If the aircraft is already stuck in the mud and escape fails, the buoyancy airbags deploy, the main battery relay is cut off, and the underwater acoustic beacon is activated. The aircraft stops struggling, deploys the airbags to prevent further sinking, and sends a distress signal via the beacon.

[0016] When the depth vision sensor detects that the ground plane in front disappears and the depth value jumps to infinity, it determines that it is a cliff or edge scene. At this time, all commands to move in the direction of the edge are rejected, the brakes are applied forcibly, and the system actively reverses 0.5 meters to a safe area.

[0017] When the millimeter-wave radar vital signs detection circuit detects that the owner's respiratory rate is below 10 breaths per minute and the heart rate is stable, it determines that the owner is asleep. At this time, the system prohibits the reporting of raw data such as respiratory waveforms, heart rate variability, and number of times the owner turns over; it only reports a Boolean value indicating whether the owner is present or absent. The system protects the owner's privacy during sleep by outputting only the simplest status.

[0018] When the ambient light sensor detects a light intensity exceeding 100,000 lux, it determines the scene to be under direct strong light. At this time, the camera's mechanical shutter drive circuit is shut down to protect the image sensor. If facial authentication of the user is also required, the strong light protection circuit is temporarily overridden, and a single-frame image is captured within a very short 10ms window for authentication. The shutter is immediately closed after acquisition. The camera completes authentication while protecting the sensor.

[0019] When multiple environmental threat types are triggered simultaneously, the priority arbitration module generates a unique threat type identifier according to preset priority rules. The priority rules are as follows: threats involving human life safety take precedence over threats involving equipment safety, and threats involving equipment safety take precedence over threats involving privacy protection. For example, when thunderstorms and strong magnetic fields are detected simultaneously, thunderstorms, which involve human safety, have a higher priority, and the system will prioritize the implementation of the thunderstorm prohibition rule.

[0020] An extreme environment interaction prohibition and safety alternative control circuit device for intelligent organisms includes an environment sensing circuit, a threat identification logic circuit, a rule register group, a priority arbitration logic circuit, and an execution drive circuit connected in sequence.

[0021] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for controlling and managing interaction restrictions and safety alternatives in extreme environments for intelligent machines, characterized in that, Includes the following steps: S1. Obtain environmental threat characteristic data of the environment in which the intelligent organism is located through the environmental perception module; S2. The feature data is classified in real time by the threat identification module to generate an environmental threat type identifier; S3. The rule matching module retrieves the preset prohibition rules and security alternative action parameters corresponding to the environmental threat type from the rule storage module based on the environmental threat type identifier. S4. By executing the driving module according to the preset prohibition rules and safety alternative action parameters, the intelligent body is controlled to refuse to execute dangerous instructions and execute the corresponding safety alternative actions.

2. The method according to claim 1, characterized in that, The core functional module can be implemented by pure digital logic circuits; the rule storage module can adopt a rule register group, and the relevant rules and parameters can be fixed in the non-volatile storage circuit when the intelligent body is powered on and initialized, and cannot be modified during operation.

3. The method according to claim 1, characterized in that, In step S1, the environmental perception module includes a sensor module and / or a communication interface module; the sensor module includes at least two of the following: an atmospheric electric field sensor, a Hall magnetic field sensor, a water immersion sensor, a depth vision sensor, a millimeter-wave radar vital signs detector, and an ambient light sensor.

4. The method according to claim 1, characterized in that, In step S3, the rules and parameters stored in the rule storage module include at least one of factory-fixed parameters, user configuration parameters, cloud update parameters, and hardware real-time learning generated parameters.

5. The method according to claim 1, characterized in that, In step S4, the execution driving module can also generate a safety alternative action prompt and display it to the user, and execute the corresponding safety alternative action according to the user's confirmation instruction.

6. The method according to claim 1, characterized in that, It also includes a priority arbitration module: when multiple environmental threat types are triggered simultaneously, the priority arbitration module generates threat type identifiers according to preset priority rules.

7. The method according to claim 1, characterized in that, The types of environmental threats include at least one of the following: thunderstorm weather scenarios, strong magnetic field environment scenarios, wading or muddy scenarios, cliff or edge scenarios, owner sleeping scenarios, and direct strong light scenarios.

8. The method according to claim 7, characterized in that, When the environmental threat type identifier indicates a thunderstorm weather scenario, the execution drive module can refuse outdoor movement commands and trigger a thunderstorm no-entry warning; when it indicates a strong magnetic field environment scenario, it can refuse movement in the direction of increasing magnetic field strength and force retreat in the direction of decreasing magnetic field strength.

9. The method according to claim 7, characterized in that, When the environmental threat type identifier indicates a strong light direct scene, the execution drive module can close the camera's mechanical shutter to protect the image sensor; when there is also a need for owner facial authentication, the strong light protection rule can be temporarily overridden, and a very short window opening can be performed to capture a single frame image for authentication, and the shutter can be closed immediately after the acquisition is completed.

10. A circuit device for extreme environment interaction prohibition and safety alternative control for intelligent machines, characterized in that, It includes an environmental perception circuit, a threat recognition logic circuit, a rule register group, a priority arbitration logic circuit, and an execution drive circuit that are connected in sequence.