Multi-mode sensing floor intelligent monitoring and self-adaptive maintenance device and method

Abstract

The invention discloses a multi-mode sensing terrace intelligent monitoring and self-adaptive maintenance device. A concrete terrace to be observed is provided with a plurality of terrace blocks which are uniformly divided; the detection and maintenance device comprises a laser leveling array used for observing the flatness of the terrace, a multi-mode sensor array and a high-pixel surface scanning camera which are used for observing cracking of the terrace, and a maintenance instrument for maintaining the concrete terrace to be observed. The laser leveling array, the multi-mode sensor array, the high-pixel surface scanning camera and the maintenance instrument all take a certain floor block as an observation reference. The invention further discloses a multi-mode sensing intelligent monitoring and self-adaptive maintenance method for the terrace. The method has the advantages of being comprehensive in monitoring, efficient in maintenance, safe, reliable and high in sustainability, and can be widely applied to construction and maintenance of the large-area concrete terrace.

Description

Technical Field

[0001] The present invention relates to the construction and maintenance of large-area concrete floors, and in particular to a multi-modal sensing floor intelligent monitoring and adaptive maintenance device and method. Background Art

[0002] The construction of large commercial buildings, stadiums, industrial plants, and other structures often involves the construction and maintenance of large-scale concrete floors. Traditional floor maintenance methods rely primarily on manual experience, resulting in problems such as limited monitoring methods, untimely maintenance, and resource waste. These methods struggle to meet the construction requirements for high-precision, high-durability floors.

[0003] Specifically, traditional floor construction monitoring and maintenance methods mainly rely on manual experience, have many technical limitations, and are difficult to meet the construction requirements of modern high-precision and high-durability floors.

[0004] From the perspective of monitoring methods, traditional methods usually use a single sensor or manual sampling, which cannot fully and real-time obtain key parameters in the floor construction process (such as stress, temperature and humidity, cracks, etc.), resulting in incomplete data and delayed response, affecting the accuracy of construction quality assessment.

[0005] In terms of maintenance control, traditional maintenance methods (such as manual watering and covering with maintenance film) lack intelligent control capabilities and are difficult to dynamically adjust maintenance strategies according to environmental changes and material conditions. This can easily lead to insufficient maintenance or excessive waste of resources (such as water and energy), affecting the ultimate strength and durability of the floor.

[0006] Safety risks also exist. Traditional maintenance processes require workers to frequently enter the construction site for inspections and operations, potentially exposing them to risks such as working at height and in slippery environments, increasing the likelihood of accidents.

[0007] Furthermore, traditional monitoring and maintenance equipment is expensive to maintain. Complex sensor deployment, data acquisition systems, and the need for manual intervention make daily operations and maintenance cumbersome, increasing construction costs and management complexity. Summary of the Invention

[0008] The purpose of the present invention is to overcome the shortcomings of the above-mentioned background technology and provide a multimodal sensing floor intelligent monitoring and adaptive maintenance device and method, so that it has the characteristics of comprehensive monitoring, efficient maintenance, safety and reliability, and strong sustainability.

[0009] The present invention provides a multimodal sensing floor intelligent monitoring and adaptive maintenance device. The concrete floor to be observed is provided with a plurality of evenly divided floor blocks. The detection and maintenance device includes a laser leveling array for observing floor flatness, a multimodal sensor array and a high-pixel surface scanning camera for observing floor cracks, and a maintenance instrument for maintaining the concrete floor to be observed. The laser leveling array, the multimodal sensor array, the high-pixel surface scanning camera and the maintenance instrument all use a certain floor block as the observation reference.

[0010] In the above technical solution, the laser leveling array includes several laser levelers and several multifaceted prisms. The several laser levelers are evenly distributed along the edges of the two adjacent sides of the concrete floor to be observed, and the several multifaceted prisms are evenly distributed along the central axis of each floor block and the working surface is facing the floor block. The multifaceted prisms on the concrete floor to be observed form a multifaceted prism array corresponding in the vertical and horizontal directions. The laser levelers arranged along the length direction of the concrete floor to be observed form a one-to-one corresponding vertical column arrangement with each column of multifaceted prisms on the concrete floor to be observed, and the laser levelers arranged along the cross-sectional direction of the concrete floor to be observed form a one-to-one corresponding horizontal column arrangement with each row of multifaceted prisms on the concrete floor to be observed.

[0011] In the above technical solution, each multimodal sensor array is arranged in the middle of each floor block, and each multimodal sensor array includes four multi-source sensor groups forming a square structure, and the edges of the square structure are parallel to the corresponding edges of each floor block.

[0012] In the above technical solution, the multi-source sensor group includes an embedded stress sensor for monitoring the internal stress distribution of the floor block, a temperature and humidity composite sensor for monitoring the maintenance environment parameters, and an acoustic emission sensor for monitoring internal microcracks.

[0013] In the above technical solution, the high-pixel surface scanning camera is arranged outside the floor block to be observed and the working surface faces the floor block. The high-pixel surface scanning camera is an 8-megapixel surface scanning camera that constitutes the surface morphology monitoring system.

[0014] In the above technical solution, the maintenance instrument includes a guide rail arm arranged along the cross-sectional direction of a certain floor block, a water pipe with water outlet holes evenly distributed on the bottom is provided on one side of the bottom surface of the guide rail arm, and an 8-megapixel surface scanning camera and an infrared temperature sensor are evenly distributed on the other side of the bottom surface of the guide rail arm. The water pipe is arranged along the length direction of the guide rail arm, and the 8-megapixel surface scanning camera and the infrared temperature sensor are arranged at intervals along the length direction of the guide rail arm. Moving mechanisms are respectively provided at both ends of the bottom of the guide rail arm, and one end of the water pipe is connected to a water pump group located outside the floor block.

[0015] In the above technical solution, the moving mechanism includes an adjustable support frame embedded in both sides of the length direction of each floor block, and the top of each adjustable support frame is provided with an angle steel guide rail whose bottom surface is flush with the floor block. The bottom of the two ends of the guide rail arm corresponding to the angle steel guide rail is provided with guide rail rollers, and the two guide rail rollers are respectively connected by rolling along the corresponding angle steel guide rails, and the outer side of the guide rail rollers is in contact with the corresponding side wall of the angle steel guide rail.

[0016] The above technical solution also includes a central computer system and a wireless sensor module. The receiving end of the wireless sensor module is respectively connected to the wireless modules of the laser leveler, multi-source sensor group, high-pixel surface scanning camera, 8-megapixel surface scanning camera, and infrared temperature sensor. The transmitting end of the wireless sensor module is connected to the signal end of the central computer system. The control end of the central computer system is respectively connected to the signal ends of the guide roller and the water pump group. The central computer system has built-in concrete strength growth prediction model, PID (proportion, integration, differentiation) control algorithm, and fuzzy logic algorithm. The concrete strength growth prediction model sets maintenance parameter thresholds based on the surface moisture of the monitored floor blocks. The PID control algorithm calculates the compensation water volume based on the surface moisture of the monitored floor blocks. The fuzzy logic algorithm calculates temperature gradient control, establishes a "temperature difference-spray intensity" rule library, and sets temperature gradient alarm thresholds. When a crack warning signal is triggered, it cooperates with the PID control algorithm to implement gradient cooling at a specified rate. When the crack width reaches the warning value, a response time threshold for the spray command is set.

[0017] The present invention also provides a multi-modal sensing floor intelligent monitoring and adaptive maintenance method, comprising the following steps: Step 1: After the concrete is poured and initially solidified, a multi-modal sensor array is arranged in the construction area according to the designated grid, each multi-modal sensor array includes four multi-source sensor groups, each multi-source sensor group includes: an embedded stress sensor for monitoring the internal stress distribution of the floor block, a temperature and humidity composite sensor for monitoring the maintenance environment parameters, and an acoustic emission sensor for monitoring internal microcracks. A high-pixel surface scanning camera corresponding to each floor block forms a surface monitoring system, and a distributed monitoring network is formed by manually reviewing the monitoring blind area, and an anti-crushing metal casing is used for monitoring the internal stress distribution of the floor block. Multi-source sensor group network wiring, wiring joints are waterproof and sealed; Step 2: a group of adjustable support frames are embedded in the floor block at a certain length, hot-dip galvanized angle steel is used as the angle steel guide rail, and the angle steel guide rail and the guide rail arm are installed on the adjustable support frame in sequence. Laser calibration is used to ensure that the angle steel guide rail joint error is within the threshold range, and an 8-megapixel surface scanning camera, an infrared temperature sensor and a water pipe are installed on the bottom of the guide rail arm. The laser leveling array is arranged according to the operation requirements, and a certain height above the multi-faceted prism array is used as the horizontal and vertical laser control surface. The operation warning area of ​​the entire observation device operation area is set; positioning tags are set at intervals on both sides of the angle steel guide rail, and the central electrical The brain system drives the guide rail roller to adjust the positioning accuracy and moving speed in real time; set a certain working radius of the guide rail arm as a restricted area, set an infrared light curtain and an audible and visual alarm device; Step three: After adjusting and testing the laser leveling array, multimodal sensor array, high-pixel surface scanning camera and curing instrument, the central computer system sets the curing parameter threshold for the surface humidity of the monitored floor block by establishing a concrete strength growth prediction model, and calculates the compensation water volume for the surface humidity of the monitored floor block through the proportional-integral link; the fuzzy logic algorithm calculates the temperature gradient control, establishes a "temperature difference-spray intensity" rule library, sets the temperature gradient alarm threshold, and when the crack warning signal is triggered, it is combined with the PID control algorithm to The method cooperates to perform gradient cooling at a prescribed rate. When the crack width reaches the warning value, the spray command response time threshold is set; Step 4: During the test phase, data is collected every period of time or every time a distance is traveled. When the temperature and humidity composite sensor detects that the humidity of a certain floor block is lower than the threshold, the central computer system starts the humidification operation; when the high-pixel surface scanning camera, 8-megapixel surface scanning camera and infrared temperature sensor detect an abnormal temperature area, the central computer system activates the fuzzy logic algorithm and PID control algorithm to send an early warning to the system terminal. When the acoustic emission sensor captures the crack warning signal, it automatically locates the damage position and starts the cooling maintenance operation.

[0018] The above technical solution also includes step five: after the maintenance cycle of the concrete floor to be observed is completed, a maintenance intensity report is generated, and the central computer system conducts a systematic structural analysis of the maintenance problems of the concrete floor to be observed, forming monitoring data within the maintenance cycle, system decision records and system abnormal event processing logs.

[0019] The multi-modal sensing floor intelligent monitoring and adaptive maintenance device and method of the present invention have the following beneficial effects: 1. Comprehensive monitoring: Multi-modal sensors collect real-time data on floor mechanical properties, environmental parameters, and surface conditions to achieve all-round monitoring of construction quality; 2. Intelligent control: Automatically optimize maintenance strategies (such as precise water spraying and temperature compensation) based on data analysis to improve maintenance efficiency and reduce resource waste; 3. Efficient construction: Support remote monitoring and automated operations, reduce manual intervention, and shorten construction cycles; 4. Safe and reliable: Reduce construction risks and ensure personnel safety through real-time early warning and closed-loop control; 5. Sustainability: Reusable sensor networks and low-energy design reduce construction waste and meet green construction requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a schematic diagram of the arrangement of high-pixel surface scanning cameras in Example 1 of the multimodal sensing floor intelligent monitoring and adaptive maintenance device of the present invention; Figure 2 This is a schematic diagram of the layout of the multimodal sensor array, maintenance instrument, central computer system and wireless sensor module in Example 2 of the multimodal sensing floor intelligent monitoring and adaptive maintenance device of the present invention; Figure 3 This is a schematic diagram of the structure of the maintenance instrument in Example 2 of the multi-modal sensing floor intelligent monitoring and adaptive maintenance device of the present invention; Figure 4 This is a planar layout diagram of the laser leveling array in Example 2 of the multi-modal sensing floor intelligent monitoring and adaptive maintenance device of the present invention; Figure 5 This is a cross-sectional view of the laser leveling array in Example 2 of the multi-modal sensing floor intelligent monitoring and adaptive maintenance device of the present invention; Figure 6 This is a flow chart of the multimodal sensing floor intelligent monitoring and adaptive maintenance method of the present invention. DETAILED DESCRIPTION

[0021] The present invention will be further described in detail below with reference to the accompanying drawings and examples, but the examples should not be construed as limiting the present invention.

[0022] Example 1 See also Figure 1 The present invention provides a multimodal sensing floor intelligent monitoring and adaptive maintenance device. The concrete floor 1 to be observed is provided with a plurality of evenly divided floor blocks 2. The detection and maintenance device includes a laser leveling array for observing floor flatness, a multimodal sensor array and a high-pixel surface scanning camera 3 for observing floor cracks, and a maintenance instrument for maintaining the concrete floor 1 to be observed. The laser leveling array, the multimodal sensor array, the high-pixel surface scanning camera 3 and the maintenance instrument all use a certain floor block 2 as an observation reference.

[0023] The high-pixel surface scanning camera 3 is arranged outside the floor block 2 to be observed with the working surface facing the floor block 2. The high-pixel surface scanning camera 3 is an 8-megapixel surface scanning camera that constitutes the surface morphology monitoring system.

[0024] Example 2 This embodiment is basically the same as the first embodiment, except that: See also Figure 2 Each multimodal sensor array is arranged in the middle of each floor block 2, and each multimodal sensor array includes four multi-source sensor groups 6 forming a square structure, and the edges of the square structure are parallel to the corresponding edges of each floor block 2.

[0025] The multimodal sensing floor intelligent monitoring and adaptive maintenance device of the present invention also includes a central computer system 12 and a wireless sensor module 13. The receiving end of the wireless sensor module 13 is respectively connected to the wireless modules of the laser leveler 4, the multi-source sensor group 6, the high-pixel surface scanning camera 3, the 8-megapixel surface scanning camera and the infrared temperature sensor. The transmitting end of the wireless sensor module 13 is connected to the signal end of the central computer system 12. The control end of the central computer system 12 is respectively connected to the signal ends of the guide roller 11 and the water pump group 9. The central computer system 12 has built-in concrete strength growth prediction model, PID control algorithm and fuzzy logic algorithm. The concrete strength growth prediction model sets the maintenance parameter threshold for the surface humidity of the monitored floor block 2; the PID control algorithm calculates the compensation water volume based on the surface humidity of the monitored floor block 2; the fuzzy logic algorithm calculates the temperature gradient control, establishes a "temperature difference-spraying intensity" rule library, and sets the temperature gradient alarm threshold. When the crack warning signal is triggered, it cooperates with the PID control algorithm to perform gradient cooling at a specified rate. When the crack width reaches the warning value, the spray command implementation response time threshold is set.

[0026] See also Figure 1 and Figure 3The maintenance instrument includes a guide arm 7 arranged along the cross-sectional direction of a certain floor block 2, a water pipe 8 with water outlets evenly distributed on the bottom is provided on one side of the bottom surface of the guide arm 7, and an 8-megapixel surface scanning camera and an infrared temperature sensor are evenly distributed on the other side of the bottom surface of the guide arm 7. The water pipe 8 is arranged along the length direction of the guide arm 7, and the 8-megapixel surface scanning camera and the infrared temperature sensor are arranged at intervals along the length direction of the guide arm 7. A moving mechanism is provided at both ends of the bottom of the guide arm 7, and one end of the water pipe 8 is connected to a water pump group 9 located outside the floor block 2.

[0027] See also Figure 4 and Figure 5 The laser leveling array includes a number of laser levelers 4 and a number of polygonal prisms 5. The laser levelers 4 are evenly distributed along the edges of the two adjacent sides of the concrete floor 1 to be observed, and the polygonal prisms 5 are evenly distributed along the central axis of each floor block 2 and the working surface is facing the floor block 2. The polygonal prisms 5 on the concrete floor 1 to be observed form a polygonal prism array corresponding to each other in the vertical and horizontal directions. The laser levelers 4 arranged along the length direction of the concrete floor 1 to be observed and each column of polygonal prisms 5 on the concrete floor 1 to be observed form a one-to-one corresponding vertical column arrangement, and the laser levelers 4 arranged along the cross-sectional direction of the concrete floor 1 to be observed and each row of polygonal prisms 5 on the concrete floor 1 to be observed form a one-to-one corresponding horizontal column arrangement.

[0028] Example 3 This embodiment is basically the same as embodiment 2, except that: See also Figures 1 to 2 The multi-source sensor group 6 includes an embedded stress sensor for monitoring the internal stress distribution of the floor block 2, a temperature and humidity composite sensor for monitoring the maintenance environment parameters, and an acoustic emission sensor for monitoring internal microcracks.

[0029] See also Figure 3 The moving mechanism includes an adjustable support frame embedded in both sides of the length direction of each floor block 2. The top of each adjustable support frame is provided with an angle steel guide rail 10 whose bottom surface is flush with the floor block 2. The bottom of the two ends of the guide rail arm 7 corresponding to the angle steel guide rail 10 is provided with guide rail rollers 11. The two guide rail rollers 11 are respectively connected by rolling along the corresponding angle steel guide rail 8, and the outer side of the guide rail roller 11 is in contact with the side wall of the corresponding angle steel guide rail 10.

[0030] Example 4 See also Figure 6 The multi-modal sensing floor intelligent monitoring and adaptive maintenance method of the present invention includes the following steps: Step 1: After the concrete is poured and initially solidifies, a multimodal sensor array is deployed in a 2m x 2m grid across the monitored area. Embedded stress sensors (range 0-10MPa) monitor the internal stress distribution of the floor; a temperature and humidity sensor (accuracy ±0.5°C) monitors the curing environment; an 8-megapixel surface scanning camera forms the surface topography monitoring system; and an acoustic emission sensor (frequency response range 50-400kHz) detects internal microcracks. Blind spots are manually reviewed to form a distributed monitoring network. The sensor network cabling must be routed using crush-resistant metal conduits, and joints must be waterproof and sealed.

[0031] Step 2: Using 50×50×5mm hot-dip galvanized angle steel as the angle steel guide rail 10, set up a set of adjustable support frames (height adjustment range ±30mm) every 3m along the longitudinal direction of the floor block 2, use laser calibration to ensure that the guide rail joint error is ≤0.5mm / m, and configure two sets of 18mm diameter stainless steel guide wheel sets (rated load 1.5T / set); install a water pipe 8 with a 0.5mm water outlet hole, an infrared temperature measurement module (accuracy ±0.3℃) and an 8-megapixel surface scanning camera on the bottom surface of the guide rail arm 7; set positioning tags every 1m on both sides of the angle steel guide rail 10 (not shown in the figure) The central computer system 12 drives the guide rail roller 11 to adjust the positioning accuracy in real time, and the moving speed is controlled at 0.1-1m / s; the area within the working radius of the guide rail arm 7 is set as a restricted area within 3m, and an infrared light curtain (detection accuracy of ±2cm) and an audible and visual alarm device are installed. During operation, one monitoring operator and one assistant are deployed to monitor the operating status of the maintenance equipment in real time, so that the guide rail arm 7 can move accurately along the angle steel guide rail 10 to facilitate maintenance operations. At the same time, the laser leveling array is arranged according to the operation requirements, and a certain height above the multi-faceted prism array is used as the horizontal and vertical laser control surface 14.

[0032] Step 3: After the installation of the sensing elements, angle steel guide rails 10, and guide rail arms 7 is complete, a 72-hour calibration test is required. The central computer system 12 establishes a concrete strength growth prediction model to set a maintenance parameter threshold for the surface humidity of the monitored floor tiles 2, with a lower limit of 70% RH. The proportional-integral process is used to calculate the amount of water required to compensate for the surface humidity of the monitored floor tiles 2. A fuzzy logic algorithm is used for temperature gradient control, establishing a "temperature difference-spray intensity" rule base (e.g., a 5°C / m temperature difference triggers a secondary cooling strategy) and setting a temperature gradient alarm threshold (5°C / m). When a crack warning signal is triggered, the system automatically switches to PID temperature control mode, implementing a gradient cooling rate of 0.5°C / 15 minutes. When the crack width reaches the warning value of 0.3mm, the spray command response time is set to ≤35 seconds (this is the debugging and testing phase of the closed-loop feedback control algorithm). The curing agent storage tank is equipped with an explosion-proof breather valve and an automatic liquid level limit shutoff system. Emergency stop buttons are located on-site (each within a linear distance of no more than 15 meters). The system must maintain dual power supply circuits.

[0033] Step 4: During the testing phase, data is collected every 5 minutes or every 1 meter of travel. When the temperature and humidity sensor detects that the humidity of a floor tile 2 is below the threshold, the central computer system 12 initiates humidification. When the high-pixel surface scanning camera 3, the 8-megapixel surface scanning camera, and the infrared temperature sensor detect an abnormal temperature area, the central computer system 12 activates the fuzzy logic algorithm and PID control algorithm to send an early warning to the system terminal. When the acoustic emission sensor captures a crack warning signal, the damage is automatically located and cooling and maintenance operations begin. (Automatic maintenance phase using closed-loop feedback control algorithm) Step 5: After the maintenance cycle is completed, a maintenance intensity report is generated. The central computer system 12 conducts a systematic structural analysis of the maintenance-related issues of the concrete floor 1 to be observed (the data analysis stage of the application of the closed-loop feedback control algorithm). The recycling rate of the sensor after removal should be ≥ 90%. The monitoring data generated during the maintenance cycle, the system decision records and the system abnormal event processing logs should be properly kept to provide data support for the subsequent floor maintenance and the causes of floor problems.

[0034] Innovation: 1. By integrating multi-source sensors such as stress, temperature and humidity, optics, and acoustic emission, a real-time monitoring network for the entire floor construction process is constructed. Edge computing and cloud analysis are used to achieve multimodal data fusion, breaking through the limitations of traditional single monitoring methods and significantly improving the accuracy and timeliness of construction quality assessment.

[0035] 2. Based on real-time monitoring data, a closed-loop feedback control algorithm (including PID control and fuzzy logic) is used to dynamically adjust maintenance parameters (such as water spray volume, maintenance film coverage, temperature compensation, etc.) to achieve adaptive optimization of maintenance strategies, solve the problem of traditional maintenance relying on manual experience and delayed response, and ensure that the floor strength and durability meet the standards.

[0036] 3. Combining Internet of Things (IoT) technology with robotic construction equipment (such as autonomous mobile spraying robots) can automate operations such as sensor deployment and precise spraying of curing agents, reducing manual intervention. At the same time, through cloud platform remote monitoring and big data analysis, it supports intelligent management of the entire construction life cycle, improving construction efficiency and resource utilization.

[0037] This construction method achieves efficient, precise, and intelligent floor construction monitoring and maintenance through three key technological breakthroughs: intelligent sensing, adaptive control, and automated construction. Its core lies in the real-time integration of multimodal data and intelligent decision-making, combined with the precise execution of automated equipment. This method not only improves construction quality and efficiency, but also minimizes resource waste and safety risks.

[0038] Notes: The following safety regulations must be strictly observed during implementation: 1) All electrical equipment must meet the IP65 protection grade when installing equipment and instruments, and cables must use flame-retardant sheaths and be equipped with leakage protection devices (operating current ≤ 30mA); 2) During installation operations, the working radius of the guide arm 7 within 3m is designated as a restricted area, and an infrared light curtain (detection accuracy ±2cm) and an audible and visual alarm device should be installed; 3) Anti-crush metal casings must be used for sensor network wiring, and joints must be waterproof and sealed; 4) Maintenance agent storage tanks must be equipped with explosion-proof breathing valves and automatic liquid level over-limit shut-off systems; 5) Emergency stop buttons must be installed on site (with a straight-line distance of no more than 15m / button), and the system must maintain dual-circuit power supply; 6) Operators must wear insulating protective equipment, hold certificates, and rotate every 2 hours; 7) A system self-check must be performed before daily operations, focusing on checking the robot arm limit switches and guide rail fixing bolts (pre-tightening torque reaches 85N·m); 8) A three-level monitoring system must be established (equipment operator, safety officer, project leader), and all abnormal situations must be recorded on the cloud management platform.

[0039] Multimodal sensing intelligent floor monitoring and adaptive maintenance construction technology belongs to the field of intelligent construction and floor construction technology. Specifically, it is an automated monitoring and maintenance system based on multimodal sensing, the Internet of Things (IoT), and intelligent control technologies. By integrating multiple sensors, including stress, temperature and humidity, optical and acoustic emission sensors, this technology monitors the mechanical properties, environmental parameters, and surface conditions of the floor during construction in real time. Combined with edge computing and cloud-based analysis, it enables dynamic assessment and precise control of construction quality.

[0040] The present invention provides an intelligent, adaptive, and reusable construction method that can not only adapt to different construction environments (such as industrial floors, airport runways, data centers, etc.), but also provide real-time data support for operators during high-precision construction, optimize maintenance strategies, expand the scope of construction monitoring, improve construction efficiency, reduce quality risks, and ensure the long-term durability and stability of the floor.

[0041] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

[0042] The contents not described in detail in this specification belong to the prior art known to those skilled in the art.

Claims

1. A multi-modal sensing floor intelligent monitoring and adaptive maintenance device, characterized by: The concrete floor (1) to be observed is provided with a plurality of evenly divided floor blocks (2), and the detection and maintenance device includes a laser leveling array for observing the flatness of the floor, a multimodal sensor array and a high-pixel surface scanning camera (3) for observing the cracking of the floor, and a maintenance instrument for maintaining the concrete floor (1) to be observed, wherein the laser leveling array, the multimodal sensor array, the high-pixel surface scanning camera (3) and the maintenance instrument all use a certain floor block (2) as an observation reference.

2. The multimodal sensing floor intelligent monitoring and adaptive maintenance device according to claim 1 is characterized by: The laser leveling array comprises a plurality of laser levelers (4) and a plurality of multifaceted prisms (5), wherein the plurality of laser levelers (4) are evenly distributed along the edges of two adjacent sides of the concrete floor (1) to be observed, and the plurality of multifaceted prisms (5) are evenly distributed along the central axis of each floor block (2) and the working surface faces the floor block (2). The multifaceted prisms (5) on the concrete floor (1) to be observed form a multifaceted prism array corresponding in vertical and horizontal directions. The laser levelers (4) arranged along the length direction of the concrete floor (1) to be observed and each column of multifaceted prisms (5) on the concrete floor (1) to be observed form a one-to-one corresponding vertical column arrangement, and the laser levelers (4) arranged along the cross-sectional direction of the concrete floor (1) to be observed and each row of multifaceted prisms (5) on the concrete floor (1) to be observed form a one-to-one corresponding horizontal column arrangement.

3. The multi-modal sensing floor intelligent monitoring and adaptive maintenance device according to claim 2 is characterized by: Each multimodal sensor array is arranged in the middle of each floor block (2), and each multimodal sensor array includes four multi-source sensor groups (6) forming a square structure, wherein the edges of the square structure are parallel to the corresponding edges of each floor block (2).

4. The multi-modal sensing floor intelligent monitoring and adaptive maintenance device according to claim 3 is characterized by: The multi-source sensor group (6) includes an embedded stress sensor for monitoring the internal stress distribution of the floor block (2), a temperature and humidity composite sensor for monitoring maintenance environment parameters, and an acoustic emission sensor for monitoring internal microcracks.

5. The multi-modal sensing floor intelligent monitoring and adaptive maintenance device according to claim 4 is characterized by: The high-pixel surface scanning camera (3) is arranged outside the floor block (2) to be observed, with the working surface facing the floor block (2). The high-pixel surface scanning camera (3) is an 8-megapixel surface scanning camera constituting a surface topography monitoring system.

6. The multi-modal sensing floor intelligent monitoring and adaptive maintenance device according to claim 5 is characterized by: The curing device comprises a guide rail arm (7) arranged along the cross-sectional direction of a floor block (2), a water pipe (8) with water outlets uniformly distributed on the bottom is provided on one side of the bottom surface of the guide rail arm (7), an 8-megapixel surface scanning camera and an infrared temperature sensor are uniformly distributed on the other side of the bottom surface of the guide rail arm (7), the water pipe (8) is arranged along the length direction of the guide rail arm (7), the 8-megapixel surface scanning camera and the infrared temperature sensor are arranged at intervals along the length direction of the guide rail arm (7), a moving mechanism is provided at each of the two ends of the bottom of the guide rail arm (7), and one end of the water pipe (8) is connected to a water pump group (9) located outside the floor block (2).

7. The multimodal sensing floor intelligent monitoring and adaptive maintenance device according to claim 6 is characterized by: The moving mechanism comprises an adjustable support frame pre-buried on both sides of each floor block (2) in the longitudinal direction, and an angle steel guide rail (10) with a bottom surface flush with the floor block (2) is provided on the top of each adjustable support frame, and guide rail rollers (11) are provided at the bottom of both ends of the guide rail arm (7) corresponding to the angle steel guide rail (10), and the two guide rail rollers (11) are respectively connected by rolling along the corresponding angle steel guide rail (8), and the outer sides of the guide rail rollers (11) are in contact with the side walls of the corresponding angle steel guide rail (10).

8. The multi-modal sensing floor intelligent monitoring and adaptive maintenance device according to claim 7 is characterized by: It also includes a central computer system (12) and a wireless sensor module (13), wherein the receiving end of the wireless sensor module (13) is respectively connected to the wireless modules of the laser leveler (4), the multi-source sensor group (6), the high-pixel surface scanning camera (3), the 8-megapixel surface scanning camera and the infrared temperature sensor, and the transmitting end of the wireless sensor module (13) is connected to the signal end of the central computer system (12), and the control end of the central computer system (12) is respectively connected to the signal ends of the guide roller (11) and the water pump group (9); The central computer system (12) is equipped with a concrete strength growth prediction model, a PID control algorithm, and a fuzzy logic algorithm. The concrete strength growth prediction model sets a maintenance parameter threshold for the surface humidity of the monitored floor block (2); the PID control algorithm calculates the compensation water volume based on the surface humidity of the monitored floor block (2); the fuzzy logic algorithm calculates the temperature gradient control, establishes a "temperature difference-spraying intensity" rule library, and sets a temperature gradient alarm threshold. When a crack warning signal is triggered, it cooperates with the PID control algorithm to perform gradient cooling at a specified rate. When the crack width reaches the warning value, a spray command implementation response time threshold is set.

9. A multi-modal sensing floor intelligent monitoring and adaptive maintenance method, characterized by: The steps include: Step 1: After the concrete is poured and initially solidified, a multimodal sensor array is laid out in the construction area according to a designated grid. Each multimodal sensor array includes four multi-source sensor groups (6). Each multi-source sensor group (6) includes: an embedded stress sensor for monitoring the internal stress distribution of the floor block (2), a temperature and humidity composite sensor for monitoring the curing environment parameters, and an acoustic emission sensor for monitoring internal microcracks. A high-pixel surface scanning camera (3) corresponding to each floor block (2) forms a surface monitoring system. A distributed monitoring network is formed for manual review of monitoring blind spots. Anti-crushing metal casings are used to wire the multi-source sensor group (6) network, and waterproof sealing treatment is applied to wiring joints. Step 2: A set of adjustable support frames are embedded in the floor block (2) at a certain length, and hot-dip galvanized angle steel is used as the angle steel guide rail (10). When the angle steel guide rail (10) and the guide rail arm (7) are sequentially installed on the adjustable support frame, laser calibration is used to ensure that the joint error of the angle steel guide rail (10) is within the threshold range. An 8-megapixel surface scanning camera, an infrared temperature sensor and a water pipe (8) are installed on the bottom surface of the guide rail arm (7). The laser leveling array is arranged according to the operation requirements. At the same time, a certain height above the multi-faceted prism array is used as a horizontal and vertical laser control surface (14). The entire observation device operation area is set with an operation warning zone; positioning tags are set at a certain distance on both sides of the angle steel guide rail (10), and the central computer system (12) drives the guide rail roller (11) to adjust the positioning accuracy and moving speed in real time; a certain working radius of the guide rail arm (7) is set as a restricted area, and an infrared light curtain and an audible and visual alarm device are set; Step 3: After aligning and testing the laser leveling array, the multimodal sensor array, the high-pixel surface scanning camera (3) and the curing instrument, the central computer system (12) sets a curing parameter threshold for the surface moisture of the monitored floor block (2) by establishing a concrete strength growth prediction model, and calculates the compensation water volume of the surface moisture of the monitored floor block (2) through a proportional-integral link; the fuzzy logic algorithm calculates the temperature gradient control, establishes a "temperature difference-spraying intensity" rule library, sets the temperature gradient alarm threshold, and when the crack warning signal is triggered, cooperates with the PID control algorithm to perform gradient cooling at a specified rate. When the crack width reaches the warning value, the spray command implementation response time threshold is set; Step 4: During the test phase, data is collected every period of time or every time a certain distance is traveled. When the temperature and humidity composite sensor detects that the humidity of a certain floor block (2) is lower than the threshold, the central computer system (12) starts the humidification operation; when the high-pixel surface scanning camera (3), the 8-megapixel surface scanning camera and the infrared temperature sensor detect an abnormal temperature area, the central computer system (12) activates the fuzzy logic algorithm and the PID control algorithm to send an early warning to the system terminal. When the acoustic emission sensor captures the crack warning signal, it automatically locates the damage position and starts the cooling maintenance operation.

10. The multimodal sensing floor intelligent monitoring and adaptive maintenance method according to claim 9 is characterized by: The method further includes step five: after the maintenance cycle of the concrete floor (1) to be observed is completed, a maintenance intensity report is generated, and the central computer system (12) performs a systematic structural analysis on the maintenance problems of the concrete floor (1) to be observed, and forms monitoring data, system decision records and system abnormal event processing logs within the maintenance cycle.

Images