80results about How to "Easy data collection" patented technology

The invention discloses a smart factory management platform and management method based on digital twinning, and particularly relates to the technical field of digital twinning, and the method comprises the following steps: carrying out the division and preliminary analysis of a digital twinning smart factory, carrying out the feature extraction and anomaly analysis of components with hidden dangers, and carrying out the feature extraction and anomaly analysis of the components with hidden dangers; calculating a data source quality index and a prediction performance quality index, and evaluating the comprehensive operation quality by using a pre-trained machine learning model; based on the evaluation result, dividing the components into low-efficiency and high-efficiency operation components; judging an optimization mode for the low-efficiency component; performing intelligent regulation and control on the efficient component based on the initial sampling frequency; the method can comprehensively evaluate the operation state of the digital twin model assembly, evaluate the adaptation degree of each assembly and the actual factory assembly, intelligently regulate and control the high-efficiency operation assembly, optimize the low-efficiency operation assembly, significantly improve the resource utilization rate, ensure the stability and reliability of the system under various operation conditions, and improve the reliability of the system. And system faults and shutdown are prevented.

The invention discloses a long-distance communication trunk optical cable fault positioning method and system, and the method comprises the steps: determining a monitoring demand, configuring an optical power meter, an optical spectrum analyzer and an OTDR, installing the optical power meter, the optical spectrum analyzer and the OTDR at a node, connecting monitoring equipment and a data collection system, configuring collection frequency, a threshold value, a storage and transmission strategy, configuring a data analysis algorithm, and starting the monitoring system to collect data. The optical cable performance is monitored in real time, data are automatically analyzed to identify abnormity, a fault alarm is generated and notified to maintenance personnel, and the data are integrated to automatically calculate the fault position. The fault detection and positioning efficiency is improved, the network reliability and maintenance efficiency are enhanced, and guarantee is provided for stable operation of the optical cable network.

The utility model relates to the technical field of spherical tank surface weld joint detection, in particular to a magnetic attraction type spherical tank weld joint detection robot which comprises a crawler crawling device, a weld joint detection device and a surface polishing device, and the crawler crawling device is used for providing walking power and adsorbing a climbing wall; the welding seam detection device is composed of a detection part and an imaging part, and the imaging part is composed of laser imaging equipment and infrared imaging equipment and used for scanning the interior and exterior of the spherical tank in the detection process and determining coordinate distribution of a welding seam; the detection part consists of a mechanical arm and flaw detection equipment and is used for detecting a welding seam; the surface grinding device is composed of a grinding wheel grinding machine and a sliding support. According to the spherical tank robot, the obstacle crossing capacity for the surface of the spherical tank is improved through the magnet, foreign matter on the welding seam and the surface of the spherical tank is removed through the grinding wheel polisher on the premise that the surface of the spherical tank is not damaged, the welding seam detection precision is improved, and nondestructive detection on the welding seam on the surface of the spherical tank is achieved through the welding seam detection device.

The invention relates to the technical field of laser striking, in particular to a high-energy laser ablation parachute striking test method and device. The test method comprises the steps of preparing the test device; carrying out a high-energy laser ablation parachute striking test; analyzing a test process and a test result; performing finite element simulation on the test process; and comparing the morphology and mechanical characteristics of the damaged parachute obtained by simulation and test in different speed fields, and adjusting finite element simulation parameters to enable a simulation result to be matched with a test result. The device is high in applicability, can be used for testing the laser ablation resistance of the parachute in various shapes and sizes, and provides a design basis for the laser ablation resistance of the parachute; the finite element simulation method for studying the aerodynamic characteristics of the damaged parachute is established, and the influence of damage degrees of different parts and different structures on the overall flight performance of the parachute is revealed.

The invention discloses a data acquisition device and method for an urban inland inundation drainage pipe network. The data acquisition device comprises a GPS receiver, a mobile power supply, a Bluetooth transceiving device, a data receiving and transmitting device, a triangular bracket, an ultrasonic range finder, an adjustable telescopic rod and the like. Geographic position coordinates and ground elevation of pipe network ancillary facilities such as an inspection well are collected through the GPS receiver, the depth of the inspection well and the size of a drainage pipe network are collected through the ultrasonic range finder, and collected inspection well data are sent to the data receiving and transmitting device through the Bluetooth receiving and transmitting device. The data receiving and transmitting device transmits acquired inspection well data to the computer through a wireless network, and one-dimensional drainage pipe network topology information data is established through an ArcGIS platform. The drainage pipe network data can be rapidly and efficiently collected, the drainage pipe network model is established according to the collected drainage pipe network data, the drainage capacity of an existing pipe network can be effectively evaluated, the pipe network design is optimized, and the drainage efficiency is improved.

The invention relates to the technical field of photovoltaic equipment, in particular to a photovoltaic array data acquisition device which comprises a photovoltaic array composed of a plurality of photovoltaic modules, an environment signal acquisition module, a voltage and current acquisition and isolation module, an upper computer module and a variable resistance module, and the positive electrode and the negative electrode of the photovoltaic array are connected with the positive electrode and the negative electrode of the variable resistance module respectively. The voltage and current acquisition and isolation module is connected in parallel with the photovoltaic array; the output end of the environment signal acquisition module is connected with the upper computer module, and the output end of the voltage and current acquisition isolation module is connected with the upper computer module. According to the device, photovoltaic array environment signals and electrical signals can be collected in real time, and the sampling frequency and the resolution ratio can be flexibly adjusted; the system has a good data acquisition effect, the acquisition process is rapid and safe, the operation and maintenance cost of the photovoltaic array is reduced, and the operation and maintenance efficiency is improved.

The embodiment of the invention discloses sound wave detection equipment and method for mural hollowing, which are used for researching mural hollowing damage and providing quantifiable reference data for mural health diagnosis, repair and protection, and relates to the technical field of nondestructive detection. The sound wave detection equipment comprises a sound wave detection mechanism, a lifting translation mechanism and a portal frame; a lifting translation mechanism is fixedly mounted on a frame of the portal frame, and a sound wave detection mechanism is fixedly mounted on the lifting translation mechanism; wherein the sound wave detection mechanism comprises a bottom plate, a sound wave emission device, a distance measurement device, a first control device and a second control device; a first supporting plate is fixedly installed on the lower portion of the bottom plate, a second supporting plate is fixedly installed on the upper portion of the bottom plate, and a partition plate is arranged between the first supporting plate and the second supporting plate. The embodiment of the invention is suitable for the detection scene of the mural hollowing damage.

The invention belongs to the technical field of underwater light sources, and relates to a self-adaptive wide-spectrum underwater light source system. A self-adaptive broadband spectrum underwater light source system comprises an FPGA unit, a sensor unit, an illumination matrix and a camera. The FPGA unit analyzes image data captured by the camera and environmental data acquired by the sensor unit in real time through a light source adjustment algorithm, and adjusts the brightness, color temperature and spectrum output of the illumination matrix so as to optimize image quality under different water quality and water depth conditions; wherein the light source adjustment algorithm adjusts the RGB light intensity output weight by calculating the chromatic aberration between a standard color card and a real-time image; and outputting a final PWM signal through the PID controller so as to adjust the illumination matrix. According to the system, advanced image processing technology and environment monitoring technology are combined, and illumination is adjusted in real time through an integrated control unit, so that the image quality of underwater photography is optimized.

The invention provides a large yellow croaker body surface white spot disease image acquisition device based on a YOLOv5 algorithm. The large yellow croaker body surface white spot disease image acquisition device comprises a flow velocity simulation water tank (1); the flow velocity simulation water tank comprises a large yellow croaker image acquisition area (5), a flow velocity control area (25) and a water environment control area (13); an image data acquisition system is arranged at the large yellow croaker image acquisition area and comprises a plurality of cameras connected with a computer; the flow velocity simulation water tank firstly limits the swimming action of the detected pseudosciaena crocea to enable the action of the pseudosciaena crocea to be matched with the working parameters of the image data acquisition system, and then the image data acquisition system acquires the body surface image of the pseudosciaena crocea, analyzes the image based on a YOLOv5 algorithm, or trains the YOLOv5 algorithm by the acquired image; according to the invention, a large amount of independent, multi-angle and clear image data of the sick pseudosciaena crocea can be acquired, and the image data of the sick pseudosciaena crocea under the conditions of different turbidity, different illumination intensities and group movement in a culture environment can be simulated, so that the training effect of the YOLOv5 algorithm is more remarkable.

The invention discloses an experimental device for underground water pumping and recharging, and belongs to the technical field of underground water recharging experiments.The experimental device for underground water pumping and recharging comprises a plurality of split experimental boxes, locking mechanisms are fixedly connected to the two ends of each split experimental box, and a fixing mechanism is fixedly connected to one side of each split experimental box; a sensor is fixedly connected in the fixing mechanism, one end, far away from the fixing mechanism, of the sensor is fixedly connected with a data line, and a recharge pipe is arranged in the split experiment box. By using the split experiment boxes, different split experiment boxes are filled with different sandy soil, targeted experiments of recharge water influence on different geologies can be carried out, and by using the fixing mechanism and the locking mechanism, installation of a sensor and fixation of the split experiment boxes are facilitated, and repeated experiments are facilitated.

The present application discloses a carbon emission optimization method, device, equipment and medium based on high-precision carbon emission calculation, which can optimize and iterate the project to be optimized according to the optimization restriction information and design reference information of the project to be optimized, so as to fully consider the purpose and effect of the design requirements of the project to be optimized during the optimization process, so that the target optimization information after the optimization iteration can not only meet the purpose of reducing carbon emissions relative to the basic information, but also meet the optimization restriction information and design reference information of the current design requirements of the project to be optimized, so as to meet the personalized needs of reducing carbon emissions. Moreover, the embodiment of the present application also uses a high-precision carbon emission algorithm to calculate carbon emissions during the iteration process, which greatly improves the accuracy of the carbon emission calculation of the optimization information during the optimization iteration process, and provides a reliable guarantee for the optimization effect of the optimization iteration.

The technical scheme of the invention provides a data acquisition redundant circuit of a single-bus digital temperature sensor in one aspect, and the data acquisition redundant circuit is characterized by comprising M identical temperature sensor data acquisition modules. According to the other technical scheme, the invention discloses a data acquisition device of the single-bus digital temperature sensor, which is characterized by comprising J data acquisition modules realized based on the data acquisition redundant circuit of the single-bus digital temperature sensor, two high-performance 32-bit ARM processors and a signal isolation circuit. According to the invention, through simple data transmission control of the serial-to-parallel shift register and the parallel-to-serial shift register, the microcontroller MCU pre-stores data / commands from the inside to the outside. Meanwhile, a data transmission control object is converted, a unified program execution process is simplified, the reliability of data acquisition and communication is improved, and meanwhile it is guaranteed that the data transmission time sequence of the sensor buses of multiple channels is always synchronous and consistent.

Embodiments of the present application provide a head cap and a brain electrical near-infrared synchronous acquisition device. The head cap comprises a main body, a plurality of pads, a plurality of probe mounting portions and a plurality of electrode mounting portions. The main body is used to form a space for accommodating a head of a subject. The plurality of pads are arranged at different positions on the inner side of a first part of the main body, so that each pad forms a laminated structure with the first part of the main body. The plurality of probe mounting portions are arranged on the laminated structure and are used to mount probes for acquiring fNIRS signals. The plurality of electrode mounting portions are arranged on a second part of the main body which is not provided with the plurality of pads, and are used to mount electrodes for acquiring electroencephalogram signals. In this way, the pads can position the probe mounting portions and maintain the spacing between the probe mounting portions, thereby improving the performance of near-infrared brain function imaging. Meanwhile, the electrodes for electroencephalogram and the probes for near-infrared brain function imaging do not interfere with each other, are reasonably arranged, and achieve the best data acquisition effect.

Embodiments of the present invention provide a method of performing data collection, user equipment and a storage medium, where the method comprises: receiving, by a user equipment (UE), a data collection configuration from a radio access network (RAN) node, where the data collection configuration configures an artificial intelligence-machine learning (AI-ML) model related parameter for the UE; performing data collection based on the data collection configuration to collect AI-ML model related data; and performing, by the RAN node, data transmission of the collected AI-ML model related data destined for the UE server. According to the invention, data collection can be carried out better.

The utility model relates to the field of dehumidification type heat pipe energy-saving quantity systems, in particular to a system for metering the energy-saving quantity of a dehumidification type heat pipe based on a flowmeter and an integrating instrument. The reheating section water supply pipe and the reheating section water return pipe are communicated with the air conditioning box body; the cold section water supply pipe and the cold section water return pipe are communicated with the air conditioning box body; the first hot water electromagnetic valve flowmeter is arranged at the water inlet end of the reheating section water supply pipe; and the first cold water electromagnetic valve flowmeter is arranged at the water inlet end of the cold section water supply pipe. The beneficial effects of the utility model are that according to the technical scheme, the instantaneous water velocity and water flow in the pipeline are metered through the electromagnetic flow meter, the water inlet and outlet temperature fed back by the thermometer is combined, a signal is transmitted to the integrating instrument to calculate the consumed heat or cold, and finally, the data is summarized to the PLC monitoring cabinet for classified display, so that the work efficiency is improved. Therefore, the energy consumption difference of the air conditioning cabinet provided with the dehumidification heat pipe under the energy-saving working condition and the non-energy-saving working condition of the dehumidification heat pipe is directly fed back.

The present invention belongs to the technical field of underwater light sources, and relates to an adaptive wide-spectrum underwater light source system. An adaptive wide-spectrum underwater light source system comprises an FPGA unit, a sensor unit, an illumination matrix and a camera; the FPGA unit analyzes the image data captured by the camera and the environmental data acquired by the sensor unit in real time through a light source adjustment algorithm, and adjusts the brightness, color temperature and spectral output of the illumination matrix to optimize the image quality under different water quality and water depth conditions; wherein the light source adjustment algorithm adjusts the R\G\B light intensity output weight by calculating the color difference between the standard color card and the real-time image; and outputs the final PWM signal through a PID controller to adjust the illumination matrix. The system of the present invention combines advanced image processing technology and environmental monitoring technology, and adjusts the illumination in real time through an integrated control unit to optimize the image quality of underwater photography.

The invention discloses a method and device for determining the turn-to-turn fault position of an iron core reactor, and the method comprises the steps: collecting a first magnetic induction intensity set of a to-be-detected iron core reactor through a three-end weak magnetic sensing array, and when the first abnormal magnetic induction intensity exceeding a preset safety threshold value is detected in the first magnetic induction intensity set, determining the position of the to-be-detected iron core reactor; and calling a preset fault detection analysis table to perform data matching with the first magnetic induction intensity set to obtain fault information matched with the first magnetic induction intensity set, and then determining the turn-to-turn position of the fault of the to-be-detected iron core reactor according to the fault information. The three-terminal weak magnetic sensing array is provided with weak magnetic sensors at the top end position, the interphase position and the bottom end position of the to-be-detected iron core reactor, so that the abnormity of the iron core reactor can be effectively captured, the fault information matched with the first magnetic induction intensity set is determined through the fault detection analysis table, a complex troubleshooting process is not needed, and the fault detection efficiency is improved. The accuracy and efficiency of turn-to-turn fault positioning are greatly improved.

The utility model relates to the technical field of 3D printing, in particular to a data collector for a 3D printer, and the data collector is characterized by comprising a movable platform of the 3D printer, an attitude sensor and two mounting seats, connecting lugs are arranged on the two sides of the attitude sensor, connecting holes are formed in the connecting lugs, and the two mounting seats are arranged in the connecting holes; the two mounting bases are located on the two sides of the attitude sensor respectively, each mounting base comprises a base and an inserting block, the bases are mounted on the movable platform, the inserting blocks are fixed to the bases, the attitude sensor is placed on the bases, and the inserting blocks are used for being inserted into the connecting holes. The attitude sensor mounting device has the beneficial effects that the attitude sensor can be stably mounted on the movable platform, and the mounting is convenient.

The present invention discloses a massage movement, which comprises a base plate, on which a walking mechanism, a kneading mechanism, a knocking mechanism and a worm gearbox are arranged, the walking mechanism comprises a walking main shaft, a walking secondary shaft, a walking motor and a walking positioning circuit board, the walking main shaft is rotatably fixed on the base plate and connected to the walking motor, and the walking secondary shaft is fixed on the base plate; the kneading mechanism comprises a kneading shaft, a crank arm and a swing arm, the kneading shaft is connected to the worm gearbox, the kneading shaft is sleeved with a crank arm, the crank arm is sleeved with a swing arm, and the crank arm drives the swing arm to swing; the knocking mechanism comprises a knocking motor and a knocking shaft, the knocking motor is connected to the knocking shaft, and the knocking shaft is also connected to the crank arm through a ball head rod; the worm gearbox comprises a box body, the box body is provided with a kneading motor and a worm wheel, the kneading motor output shaft is used as a worm, the worm and the worm wheel cooperate, and the worm wheel is connected to the kneading shaft. The present invention is not only compact and stable in structure, but also has low operating noise.

The utility model relates to the technical field of three-dimensional data acquisition, in particular to a natural resource survey live-action three-dimensional data acquisition device, which comprises an unmanned aerial vehicle body, a mounting assembly and an adjusting assembly, and is characterized in that the mounting assembly comprises a mounting box, a processor, a memory, a wireless transmitter, a signal receiver, a data line, a convenient computer and an acquisition component; the unmanned aerial vehicle body is controlled to fly to a proper data acquisition position, natural resource investigation live-action three-dimensional data are acquired through the data acquisition component, the data are transmitted to the processor, the data are transmitted to the signal receiver through the wireless transmitter, and the signal receiver is connected with the unmanned aerial vehicle body. The signal receiver transmits data to the convenient computer through the data line, acquisition personnel watch the acquired data on the convenient computer in real time to ensure that the acquired data is complete and accurate, and after data acquisition is completed, the unmanned aerial vehicle body is controlled to fly back, so that the problem that the acquisition personnel cannot watch the acquired data in real time is solved.

The invention belongs to the technical field of sensor detection, and particularly relates to a liquid crystal sensor and an aflatoxin detection method and application thereof, the sensitivity and selectivity of the sensor are greatly improved through the system combination of RCA reaction, magnetic beads and aptamers, and RNP is triggered to cut and connect DNA due to the recognition of specific AFB1-aptamers and the release of cDNA. Therefore, as the RCA reaction is stopped, the Myr is retained in the aqueous solution, and when the AFB1 is lacked, the Myr in the aqueous solution can be captured by long-chain ssDNA generated by the RCA reaction, so that a bright LC image can be observed. The designed portable device is low in price and convenient for data acquisition. Therefore, the CRISPR-RCA LC sensor can be used as a food mycotoxin detection method which is high in sensitivity, strong in selectivity, convenient to use and wide in prospect.

The present invention discloses a cardiovascular age prediction method and device based on deep learning and metabolic spectrum analysis, which relates to the field of biological data processing, including: obtaining blood samples of healthy people and people with cardiovascular diseases and performing data processing and feature selection to determine relevant metabolites; constructing a cardiovascular age prediction model based on deep learning and training it to obtain a trained cardiovascular age prediction model; obtaining blood samples of people to be tested and processing it to obtain a metabolomics feature matrix composed of metabolic features corresponding to relevant metabolites, inputting the metabolomics feature matrix into the trained cardiovascular age prediction model, passing through a metabolic feature representation module to obtain a metabolic feature representation, inputting the metabolic feature representation into a feature representation processing module, predicting the cardiovascular age of the person to be tested, and calculating the cardiovascular age acceleration. The present invention solves the problems of high cost, low accuracy, lack of extensive verification, etc. of existing cardiovascular age prediction.

The present invention discloses a method and system for flexible control of electric heating load, which relate to the field of power distribution technology. The method formulates a control strategy for electric heating equipment and controls the operating status of the electric heating equipment based on the monitoring results of the power grid load and the power monitoring results of the electric heating equipment; when executing flexible control of the electric heating load, the power history curve of each electric heating equipment in the proposed list is collected, and it is determined whether each electric heating equipment is currently operating under constant temperature and power, and the electric heating equipment in the proposed list is determined as the electric heating equipment to be powered off first; power is cut off for some or all of the electric heating equipment, and when the power-off time reaches a preset power-off time threshold, when the flexible control of the electric heating load is continued, the electric heating equipment that was powered off last time is excluded from the proposed list. The system is used to implement the method. The scheme can realize flexible control of the orderly electricity use of electric heating users, and at the same time can avoid or weaken the impact on users, thereby ensuring the quality of power grid services.

The utility model discloses a highly integrated visual fusion monitoring device, which comprises a shell, a power supply module and a mainboard, the power supply module and the mainboard are fixedly arranged in the shell, the mainboard is electrically connected with the power supply module, the front surface of the shell is provided with a high-definition 4K camera, an infrared camera, a laser radar and a millimeter wave radar, the back surface of the shell is provided with an external interface, and the external interface is electrically connected with the mainboard. The 4K camera, the infrared camera, the laser radar and the millimeter wave radar are electrically connected with the mainboard. According to the utility model, the laser radar, the millimeter wave radar, the high-definition 4K camera and the infrared camera are integrated, the monitoring capability, the real-time performance and the reliability are obviously improved, and the system can be widely applied to the fields of moving target detection, multi-modal data fusion, high-precision object deformation monitoring and the like.

The invention discloses an inertia load simulation control method and system for a large-inertia closed system and a test bench, and the method employs the rotating speed of a motor of the closed system as a detection quantity, facilitates the data collection, can achieve the simulation control of the inertia load of the large-inertia closed system, carries out the closed-loop control of the simulation inertia load of the test bench, and achieves the simulation control of the inertia load of the large-inertia closed system. According to the method, the precision and accuracy of inertia load simulation control are guaranteed, a proportional servo valve control signal curve during closed-loop control is obtained, open-loop control is performed on the simulation inertia load based on the proportional servo valve control signal curve, the proportional servo valve control signal curve is optimized, and the simulation inertia load control precision is improved. And finally, open-loop control is performed based on the optimized proportional servo valve control signal curve, so that performance testing can be performed on the optimized closed system.

This invention discloses a method and system for monitoring and maintaining tower operations, belonging to the field of tower operation and maintenance monitoring. The method includes the following steps: S1: basic monitoring data acquisition; S2: edge-side data cleaning and initial screening; S3: global data spatiotemporal standardization; S4: cross-modal feature fusion and defect identification; S5: result integration and application. By constructing a multimodal perception network including a lidar sensor, a high-definition industrial camera, and an inertial measurement unit, the sensor deployment location and time-triggered synchronization protocol are clearly defined, and geometric, texture, attitude, and environmental data are collected synchronously to achieve comprehensive multi-dimensional data coverage. Through global data spatiotemporal standardization processing, a global coordinate system is established with the tower bottom as the origin. By retrieving historical operation and maintenance archives from the cloud, operation and maintenance strategies are generated based on a similarity threshold, and the current monitoring data, identification results, and strategies are written back to the historical archives to update the tower health status database.

The invention discloses a sea ice detection method based on GNSS-IR power ratio data, and relates to the technical field of sea ice detection. The method specifically comprises the following steps: extracting a direct power sequence and an interference signal sequence from an SNR (Signal to Noise Ratio) through a vector relationship among a direct signal, a reflected signal and an interference signal, and carrying out Hilbert transform on the interference signal to obtain a reflected signal power sequence; and an average is taken according to different frequency points of different satellites and is used as a daily average power ratio factor, so that occurrence and ablation of sea ice are detected by using a time change sequence of a power ratio. The method is different from a traditional ice period detection method, sea ice can be more independently and directly detected, the situation that a GNSS-IR traditional model is poor in independence is improved, and sea ice changes can be more obviously detected.

This invention discloses a dual-head machine tool for semiconductor material processing, belonging to the technical field of semiconductor material processing equipment. It includes a frame with a cleaning mechanism, comprising: a liquid washing device mounted on the frame; an air washing device mounted on the frame, with the air washing device and liquid washing device arranged opposite each other; and a fixing device mounted on the frame, comprising a first fixing component and a rotating component. The first fixing component can fix one end of a workpiece removed from the clamping mechanism, with the fixed end of the workpiece located on one side of the air washing device, and the portion of the workpiece not clamped by the first fixing component located on the one side of the liquid washing device. When the first fixing component fixes one end of the workpiece, the rotating component can rotate the portion of the workpiece not clamped by the first fixing component to the side of the air washing device. This invention improves upon the problem of incomplete cleaning of the semiconductor material processing surface during semiconductor material processing using dual-head machine tools in the prior art, thereby improving the quality of the finished product.

In the obstructive sleep apnea crowd detection system and method, a front-end measurement system comprises a body index measurement assembly and an access data terminal; the AI calculation platform comprises an AI calculation module and an obstructive sleep apnea AI feature data set; the body index measuring assembly is in signal connection with the access data terminal; the AI computing platform is in signal connection with the access data terminal; the testee obtains anthropometric characteristic data through measurement of the body index measurement assembly; the body index measuring assembly sends the anthropometric characteristic data to the access data terminal; the access data terminal sends the anthropometric characteristic data to the AI computing platform; the AI calculation platform calculates according to the obstructive sleep apnea AI feature data set and the anthropometry feature data to obtain an obstructive sleep apnea risk assessment report; the anthropometric characteristic data comprises the height, the weight, the waist circumference, the neck circumference and the hip circumference.

The invention belongs to the technical field of coal mining monitoring, and particularly relates to a coal mine goaf floor three-dimensional form real-time accurate monitoring mapping system which comprises a goaf, inertial navigation points, a coordinate monitoring device, a data transmission transfer station and a data processing system. Necessary navigation information can be provided for installation and data collection of a coordinate monitoring device, precise positioning is achieved, reflecting films are laid at coordinate points, where coordinate information needs to be collected, of the inner wall and the bottom of the goaf, and the reflecting films can efficiently reflect laser beams emitted by the three-dimensional laser radar; the three-dimensional laser radar can better receive signals, the three-dimensional laser radar can carry out data acquisition on the interior of the goaf, dust and water mist can be prevented from greatly influencing the three-dimensional laser radar when a coal mining machine works, the quality of acquired data can be effectively improved, and a goaf bottom plate can be accurately monitored.