Intelligent space detection robot
By designing a foldable mobile robot that integrates multi-dimensional environment perception and wireless communication signal analysis, the problem of single function and insufficient flexibility in the prior art is solved, and the generation of smart space management and dynamic control strategy of the "environment-communication-equipment" trinity is realized.
Patent Information
- Application Number
- CN202510237236.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-02
- Publication Date
- 2025-05-23
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing space detection equipment and smart home systems have single functions, lack multi-dimensional environmental perception and autonomous adjustment capabilities, lack of flexibility, making it difficult to achieve the trinity of smart space management of the "environment-communication-equipment".
A foldable mobile robot is designed to integrate multi-dimensional environment perception, wireless communication signal analysis and active signal collaboration capabilities of intelligent devices, and dynamic control strategy generation is realized through the nine-dimensional data fusion engine, supporting the independent detection of space physical parameters, communication network status and intelligent device collaboration relationship.
It realizes multi-dimensional environment perception and coordinated management of smart devices, improves the flexibility of space detection equipment and the autonomous adjustment ability of smart home systems, and dynamically optimizes control strategies to improve system performance.
Smart Images

Figure CN120027860A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of intelligent robots, and specifically relates to a foldable mobile robot that integrates multi-dimensional environmental perception, wireless communication signal analysis, and active signal coordination capabilities of intelligent devices. It can autonomously detect spatial physical parameters, communication network status, and collaborative relationships of intelligent devices, and dynamically generate optimized control strategies. Background Art
[0002] Existing space detection equipment or sensors have single functions, usually only detecting specific parameters (such as temperature, humidity or light), and need to be manually operated or fixedly installed, which is not flexible enough. In addition, existing smart home systems lack the ability to actively detect the environment and dynamically adjust the scene mode, relying on preset programs or manual operation by users. Therefore, there is an urgent need for a robotic device that integrates multi-dimensional space detection, can be deployed movably, and supports intelligent system linkage. The present invention realizes the "environment-communication-equipment" trinity smart space management by enhancing the wireless signal detection module and the active signal coordination logic. Summary of the invention
[0003] The intelligent space detection robot of the present invention adopts a foldable body enhancement design and a hinged multi-joint design. The volume is reduced by 60% after folding, and the detection module can be deployed after unfolding. The top is integrated with a telescopic antenna array (supporting 2.4GHz / 5GHz / millimeter wave frequency bands), and the side wings are equipped with signal detection cabins to accommodate wireless signal analysis modules and active signal receiving modules. The mobile chassis is equipped with omnidirectional wheels and obstacle avoidance sensors to support autonomous indoor navigation. It has a built-in UWB positioning base station (accuracy ±5cm) to coordinate positioning with smart device tags; and a radar wave reflection enhancement coating to improve the sensitivity of active signal reception.
[0004] The intelligent space detection robot of the present invention performs detection and signal management from nine data dimensions, including three-dimensional size, illumination, sound waves, air parameters, energy, vision, wireless communication signal detection, active signal coordination, and dynamic channel management.
[0005] 3D LiDAR: Scans spatial dimensions and builds 3D models.
[0006] Spectral sensor: detects light intensity (0-100,000 Lux) and spectral composition (wavelength range 200-1100nm).
[0007] Sonic sensor: supports 20Hz-60kHz frequency band, covering infrasound and ultrasound.
[0008] Environmental sensor group: temperature and humidity, PM2.5 / PM10, wind sensor.
[0009] Power Detection Module: Detects socket location, voltage, and available energy interfaces.
[0010] Binocular camera: collects spatial images and analyzes the position and status of objects.
[0011] The wireless signal analysis module includes a spectrum analysis chip (covering 2GHz-6GHz); signal strength detection range: Wi-Fi (-90dBm to +20dBm), 5G (RSRP -140dBm to -44dBm), Bluetooth (RSSI -100dBm to +20dBm).
[0012] The active signal receiving module includes a millimeter wave radar receiver (24GHz / 60GHz); a LIDAR signal decoding unit (compatible with ROS / NAV2 protocols).
[0013] Dynamic channel management. Adjusts the device communication frequency band based on signal strength and interference.
[0014] Based on the detected nine-dimensional data, a fusion engine is established. The signal layer generates a communication signal heat map, marking the location of smart devices and the signal attenuation gradient; the environmental layer superimposes parameters such as temperature, humidity, and light to form a spatial state matrix; the control layer dynamically adjusts the device deployment strategy based on signal quality (for example: migrate smart sockets to areas with Wi-Fi signals > -65dBm).
[0015] In terms of robot application software, a data fusion algorithm is used to map multi-sensor data into a spatial state matrix to generate management suggestions (such as "adding blackout curtains in areas with strong light"). The robot establishes a scene mode library, presets "energy-saving mode" and "security mode", etc., and supports user-defined logic (such as "start the air purifier when PM2.5>50").
[0016] The collaborative control logic of the smart space detection robot includes three aspects: radar signal scheduling, laser path optimization, and communication link switching. Radar signal scheduling: allocates differentiated radar frequency bands to multiple service robots (such as alternating scanning of 24GHz and 60GHz); laser path optimization: analyzes the LIDAR data of the sweeping robot, marks the signal blind spots and generates a detour path; communication link switching: automatically switches to the 5G backhaul channel when the Wi-Fi signal strength is <-75dBm.
[0017] The smart space detection robot is also equipped with a communication module that supports Wi-Fi / Bluetooth / Zigbee protocols and can be connected to smart home systems (such as HomeKit, Mijia) and building management systems (such as BACnet). The robot's human-computer interaction interface is a 7-inch or 10-inch touch screen that generates a "signal diagnosis" interface, displays real-time spectrum occupancy, provides device collaboration scores (such as "air conditioning-temperature and humidity sensor communication delay: 12ms, score A"), and supports parameter editing and scene mode customization.
[0018] The intelligent space detection robot of the present invention adopts full-band signal perception, supports environmental parameter collection (passive) and intelligent device signal analysis (active), and builds a space digital twin; the millimeter wave radar signal receiving capability (60GHz) breaks through the detection boundary of traditional robots. A two-way control closed loop is realized: receiving intelligent device detection signals → analyzing collaboration efficiency → sending optimization instructions in reverse (such as "adjusting the sweeping robot radar scanning interval to 200ms"); anti-interference self-adaptation: dynamically shielding interference sources such as microwave ovens (2.4GHz frequency band); compensating for communication errors in high temperature / high humidity environments based on signal attenuation models. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] Figure 1 : Schematic diagram of the folding and unfolding states of the smart space detection robot. The left picture shows the unfolded state of the smart space robot, and the right picture shows the folded state of the smart space robot. In the figure, 1. Foldable body, 2. Telescopic antenna array; 3. Millimeter wave radar receiving board; 4. UWB positioning module; 5. Human-computer interaction screen (7-inch or 10-inch touch screen); 6. Acoustic wave sensor; 7. Binocular camera; 8. Environmental sensor group; 9. Power detection module; 10. Spectral sensor; 11. Omnidirectional mobile chassis; 12. Ultrasonic detector; 13. Three-dimensional laser radar; 14. Robot body control system; 15. Signal detection cabin
[0020] Figure 2 : Nine-dimensional data fusion architecture diagram (including signal layer, environment layer, and control layer) DETAILED DESCRIPTION
[0021] Example 1: Dynamic optimization of smart home. The robot is deployed in the living room and builds a three-dimensional model (accuracy ±1cm) through the laser radar; the wireless signal module detects that the Wi-Fi strength in the TV cabinet area is only -80dBm (threshold: >-70dBm), marking it as a signal blind area; the active signal module receives the millimeter-wave radar data of the smart air conditioner and finds that its human detection signal is lost in the blind area; the control engine generates a solution: move the air conditioner indoor unit 30cm to the left to the signal strength -65dBm area, and simultaneously update the obstacle avoidance path of the sweeping robot.
[0022] Example 2: Collaborative inspection of commercial buildings. The robot scans the office area, and 5G signal analysis shows that there is co-frequency interference in Conference Room A (from the router in the adjacent conference room); the radar receiving module detects that the security robot radar (24GHz) and the cleaning robot radar (24GHz) are scanning conflicts; the collaborative engine allocates the 24.125GHz frequency band to the security robot, and the cleaning robot uses the 24.250GHz frequency band; the updated frequency band configuration is synchronized to the building management system to avoid future equipment conflicts.
Claims
1. An intelligent space detection robot, characterized in that: include: Foldable fuselage with integrated retractable antenna array and signal detection cabin; Nine-dimensional detection module, including wireless communication signal strength analysis and smart device active signal reception function; Collaborative control engine to achieve communication quality optimization, device signal conflict resolution and dynamic path planning.
2. The robot according to claim 1, characterized in that: The wireless communication signal analysis module supports: multi-band signal strength heat map generation (Wi-Fi / 5G / Bluetooth); centimeter-level positioning of smart devices based on UWB (±5cm).
3. The robot according to claim 1, characterized in that: The active signal receiving module includes: a millimeter wave radar signal conflict detection unit (24GHz / 60GHz); a LIDAR data analysis interface, which supports the generation of service robot path optimization suggestions.
4. The robot according to claim 1, characterized in that: The collaborative control engine includes: a multi-device channel allocation algorithm based on game theory; a radar signal spatiotemporal conflict detection model (accuracy ±0.5ms); and an environmental parameter and signal attenuation coupling compensation module (such as increasing Wi-Fi transmission power by 5% when humidity > 80%).
5. The robot according to claim 1, characterized in that: Provides a device collaboration health assessment system, generates operation and maintenance reports based on signal stability, response delay, and conflict frequency, and provides optimization suggestions through the touch screen 3D model.
6. The robot according to claim 1, characterized in that: It is suitable for application scenarios such as smart home, commercial building and industrial environment smart space environment detection and optimization, global intelligent operation and maintenance management, etc.
7. The robot according to claim 1, characterized in that: It can be used as a tool for collecting spatial elements when building digital twins of physical spaces, as well as a tool for evaluating spatial support supply capabilities when deploying movie and game metaverse scene generators.