71results about How to "Realize health monitoring" patented technology

The invention relates to a human-machine interaction technique, in particular to a system achieving autonomous health monitoring by a health examination device and an internet; the system comprises the health examination device, a hand-held apparatus, a terminal apparatus and a cloud service platform; and a user autonomously exams the health by the health examination device, at the same time, the data of the user are transmitted to the cloud service end by the terminal apparatus connected with the Internet to analyze and process, finally, the health information suitable for the user is fed back to the user, so as to achieve the autonomous health management whenever and wherever possible. The autonomous remote health monitoring system provided by invention has the following beneficial effect: users can monitor own health autonomously at any time, the operation method is simple and convenient, and at the same time, the obtained health management information is real-time, efficient and accurate. The autonomous remote health monitoring system is suitable for health monitoring systems.

The invention relates to motion state heart rate monitoring, in particular to a motion state heart rate monitoring method based on photoplethysmography and a spectrum analysis. The method comprises the following steps: performing zero-phase base line filtering on a source signal; partitioning a processed signal by a sliding window method; obtaining a frequency spectrum by a short-time Fourier transformation method; finding out a spectrum peak representing heart rate data by a spectrum peak tracing method to obtain the heart rate data; processing the heart rate data by a calculatedly moving mean filter to obtain a final heart rate result. The motion state heart rate monitoring method is simple in design and efficient; by monitoring and the analysis of the method, a user can acquire the heart rate data under a motion state. The motion state heart rate monitoring method can be applied to wearable equipment so as to realize healthy monitoring of the heart rate and has higher application value.

The invention discloses a skin for morphing wings, belonging to the technical field of design of morphing aircrafts. The skin for the morphing wings is made from fibre reinforced composites, and the cross section of the skin is in an isosceles trapezoid ripple structure. The invention also carries out analysis aiming at the chordwise and spanwise equivalent elastic modulus and flexural modulus ofthe skin structure with isosceles trapezoid ripples, provides a corresponding mathematical model and can further optimize the skin structure according to the mathematical model. The invention meets the requirements of the skin of the morphing wings of the morphing aircrafts for large deformation aerodynamic load bearing, can realize the design optimization of the skin structure under different load operating conditions according to the mathematical analysis model of the equivalent elastic modulus and the flexural modulus in two different directions of the skin structure, also has structure health monitoring and self-adapting deformation capability and can realize optimal aerodynamic characteristics by controlling the shape and the vibration of the skin.

The invention belongs to the field of medical health and artificial intelligence, and particularly relates to a personalized precise medical question answering system based on data and knowledge. The invention aims at solving the problems that in the prior art, pertinence and real-time performance are not achieved, the data utilization rate is low, and user problems cannot be efficiently and accurately understood, and a problem that real-time deep-level accurate medical question answering cannot be realized for individuals. The system comprises a personal health data module which obtains personal health data of a user; a user question understanding module which sequentially carries out word, syntactic and semantic analysis on user questions after preprocessing the user questions; an efficient knowledge graph module which performs knowledge extraction, knowledge fusion, knowledge storage and knowledge calculation on the knowledge base to construct an efficient knowledge graph; and an intelligent medical service module which performs user health data management and health monitoring through semantic matching and knowledge reasoning, performs online hospital guide on problem information, assists the decision making and generates response information. The method has the advantages of pertinence, real-time performance, high data utilization rate and high accuracy.

The invention discloses an OpenVPX framework-based high-speed backboard. The backboard comprises a bus interface circuit and a support module realized by adopting an SOC hardware circuit, wherein thebus interface circuit comprises an exchange board slot position, three signal processing board slot positions, a collection board slot position, an interface conversion board slot position and a powerboard slot position. Through the support module, configuration management of load board cards carried by the slot positions is realized, which comprises the processes of receiving a synchronous signal and a reset signal provided by the exchange board slot position, transmitting the signals to other slot positions, and setting a state of an I / O pin during initialization to configure function states of the slot positions; and the OpenVPX framework-based high-speed backboard provided by the invention solves the problems of complex design and poor flexibility and expansibility of an existing 3U VPX bus communication circuit.

Provided are a system and a method for rotor system on-line health monitoring. The system comprise a parameter design system, a signal generation-amplifier, a signal transmitter, a signal exciter, a signal sensor, a signal collector and a health condition decision-making system. Design of excitation signals is achieved by the parameter design system by means of parameters of a rotor system, the excitation signals are generated through the signal generation-amplifier and pass through the signal transmitter, and electric signals are converted to ultrasonic guided-wave excitation through the signal exciter. Ultrasonic guided-waves reflected by rotor cracks or edges are collected to be electrical signals through the signal sensor and are transmitted to the signal collector through the signal transmitter. The signal collector achieves filtering and other processes for collected signals and then sends the signals to the health condition decision-making system, and digital signal processing and judging of the health condition of a rotor according to characteristics of the digital signals are achieved through the decision-making system. According to the system and the method, the health condition of the rotor under the condition of on-line operation of the rotor is monitored, safety of rotor system operation is improved, and economical loss caused by shut-down is reduced.

The invention discloses a method preventing abnormal charging of a blade charging machine. The method comprises the steps that data collection is achieved through a PLC; collected pipeline pressure is compared with a theoretical value in a pipeline pressure characteristic curve, wherein the theoretical value is obtained by inquiring a table; if the pipeline pressure is smaller than or larger than the theoretical value, warning information is sent; collected feed liquid flow quantity in a charging pipe is compared with theoretical flow quantity, wherein the theoretical flow quantity is obtained by inquiring a corresponding table; if the feed liquid flow quantity is lower than the theoretical flow quantity, warning information is sent; collected atomization steam pressure is compared with a technological requirement value, and warning information is sent if the atomization steam pressure is smaller than the technological requirement value; after production is finished, the average running frequency of a charging pump is calculated, the average frequency is compared with an ideal area, and warning information is sent if the average frequency is larger than the ideal area; a total score is calculated, and warning information is sent if the deduction score is larger than set score. According to the method preventing abnormal charging of the blade charging machine, health monitoring of a charging system of the blade charging machine is achieved, and therefore system hidden dangers can be found timely.

The invention relates to the technical field of water pump health diagnosis, in particular to a water pump health monitoring and diagnosing method for a circulating water cooling system. The water pump health monitoring and diagnosing method for the circulating water cooling system comprises the following steps that data information of a water pump in a normal running state is stored in advance; five types of data information of real-time operation of the water pump is obtained; the five types of data information is analyzed, and the five types of data information is compared with data information in the normal operation state to generate a comparison result; health index analysis is conducted on the five types of data through different weights to generate a health index analysis result; and monitoring and diagnosing are conducted on the fault of the water pump according to the comparison result and the health index analysis result. According to the water pump health monitoring and diagnosing method for the circulating water cooling system, through comprehensive judgment and analysis of multiple monitoring methods, potential faults of the water pump are found in advance, the severity degree and the position of the faults can be accurately analyzed, and maintenance opinions are given.

The invention provides a remote sensing satellite ground station health monitoring system and method, and the system comprises a data collection and processing unit, a fault diagnosis unit, a full life cycle management unit, a health state monitoring unit, and a health state prediction unit. Acquisition, test, fault and performance analysis of various monitoring data in the remote sensing satellite ground station can be realized so that remote sensing satellite ground station equipment-level, system-level and ground station-level health management can be completed. According to the scheme, a fault diagnosis scheme of the universal remote sensing satellite ground station can be formed, equipment fault full-life-cycle management and system health monitoring and prediction capacity are achieved, it is guaranteed that the system is in a good state, and then the purposes of reducing the maintenance workload and complexity of the remote sensing satellite ground station system and improving the operation efficiency are achieved.

The invention discloses a temperature detection method of ceramic kiln. The method adopts the fiber grating sensing technology to detect the temperature of the ceramic kiln. In the specific technical proposal, optical fibers are arranged on two outer sides and the outer top the ceramic kiln; each optical fiber is connected with a plurality of gratings in series to form a fiber grating sensing network to conduct the distributing measurement of the temperature of the ceramic kiln. The method changes the traditional detection mode of temperature of the ceramic kiln does not cause damage to the ceramic kiln; and the method belongs to a non-contact temperature detection method and can be applied in the temperature detection of the ceramic kiln. Moreover, the method has the advantages of real-time temperature measurement, high anti-interference performance, excellent stability, excellent dynamic characteristics, and so on.

The invention discloses a ship-shore integration monitoring system and an operating state identification method of a marine incinerator. The ship-shore integration monitoring system comprises a ship monitoring system, a Beidou satellite navigation system and a shore application system; the ship monitoring system is connected with the shore application system through the Beidou satellite navigation system; the ship monitoring system is used for collecting and displaying operating parameters and a working process real-time monitoring video of the marine incinerator; the Beidou satellite navigation system is used for transferring data collected by the ship monitoring system to the shore application system; the shore application system is installed in a maritime affairs management department and a ship management company, and is used for related personnel of the maritime affairs management department or the ship management company to monitor, analyze and judge the data collected by the ship monitoring system, and thus to identify whether a sailor has an aberrant behavior. By employing a message function of the Beidou satellite navigation system, accurate real-time monitoring is carried out on the marine incinerator, and the aberrant behavior of the sailor who pollutes the marine environment can be precluded effectively.

The invention discloses a full-flexible polymer intelligent skin. Functional modules are all integrated on the same flexible substrate, the full-flexible polymer intelligent skin comprises a piezoresistive strain array based on a conductive polymer 1 and a capacitive sensing array utilizing a conductive polymer 2, wherein the piezoresistive strain array and the capacitive sense array are integrated, and the full-flexible polymer intelligent skin is used for monitoring strain and pressure distribution of a train head. In addition, the invention provides a preparation method of the full-flexiblepolymer intelligent skin. According to the key points of the preparation method, the strain sensing module based on the conductive polymer 1 and the capacitive pressure module based on the conductivepolymer 2 are prepared and integrated on the stretchable substrate, the sensing array is prepared through a solubilization method, full-solubilization industrial large-batch scale production is supported, the designed and prepared full-flexible intelligent skin is bonded on a complex structure on the surface of the train head and used for recording strain and pressure information in the train head during train operation, health monitoring of the train head structure is achieved, and stable high-speed operation of the train is ensured.

The invention belongs to the technical field of airborne and missile-borne navigation data processing and relates to a core processing circuit design method for a navigation system. The invention discloses a core processing circuit design method for an inertial navigation system based on a multi-core processor. The design method comprises the following steps: 1, designing a core processing circuitof a multi-core processor inertial navigation system based on a domestic multi-core processor FT-Q6713J / 500; 2, designing a high-precision temperature sensor acquisition circuit; 3, designing a high-speed data acquisition circuit with high real-time property and high robustness; 4, designing a high-speed 1553B bus circuit; 5, performing health management design on the inertial navigation system.According to the design, the multifunctional highly-integrated core processing circuit for the inertial navigation system is realized.

The present invention relates to the field of indoor positioning and particularly relates to a multi-target indoor positioning system and a corresponding method based on video collection. The positioning is three-dimensional spatial positioning. The multiple targets are one or more living bodies with pulses. The system of the invention comprises a video acquisition unit, a pulse wave extraction unit, and a position calculation unit. The method comprises the steps of scene layout, video collection, pulse wave extraction, and position calculation. Compared with a traditional indoor positioning system, the indoor positioning technology provided by the invention has the advantages of high accuracy, low cost, good real-time performance, and excellent scalability and portability.

The invention discloses a wind turbine blade crack positioning method based on non-contact multi-point vibration measurement and Hilbert transformation. The method comprises a step of setting a plurality of position marking points on a blade with breathing cracks, exciting the blade by adopting a random signal excitation mode, and acquiring a nonlinear vibration signal of a position of each marking point of the blade under the condition of random signal excitation by utilizing a non-contact multi-point vibration measurement method, a step of calculating a frequency response function of the corresponding marking point position according to excitation input and output position vibration signals under the random signal excitation condition, a step of calculating Hilbert transformation of eachmarking point position according to a frequency response function under the random signal excitation condition, a step of calculating a cross-correlation index according to the frequency response function corresponding to each marking point and the Hilbert transform thereof, and a step of calculating a nonlinear degree value of each marking point position according to the cross-correlation indexand determining a crack position according to a normalized nonlinear degree value. By adopting the positioning method and system provided by the invention, the identification effect of a blade breathing crack position can be improved.

A nuclear power plant equipment monitoring system based on optical fiber Bragg grating sensing comprises a light source, optical fiber Bragg gratings and copper / carbon coating optical fiber, wherein the optical fiber Bragg gratings are written on the copper / carbon coating optical fiber at intervals, or the optical fiber Bragg gratings are connected with the copper / carbon coating optical fiber, and the optical fiber Bragg gratings are attached on the surfaces of devices of pipelines, high-temperature and high-pressure containers and the like in a nuclear power plant and connected with an optical circulator through communication optical fiber. Light emitted from the light source is transmitted to the nuclear power plant through the optical circulator and the communication optical fiber, the light reflected by the optical fiber Bragg gratings reaches a photoelectric detector through the optical circulator and processed, then strain size generated by the optical fiber Bragg gratings can be confirmed, and accordingly the health conditions of nuclear power plant equipment are mastered. According to the nuclear power plant equipment monitoring system based on optical fiber Bragg grating sensing, wavelength division multiplexing or time division multiplexing can be adopted as the multiplexing mode, a distributed optical fiber Bragg grating sensor array is established, and the healthy monitoring of high-temperature and high-pressure equipment of the nuclear power plant is achieved.

The invention relates to a bearing health monitoring method based on fault feature fusion. The method comprises the steps that vibration signals in the bearing operation process are collected through N acceleration sensors; extracting features of the vibration signals to obtain N original feature sets; respectively inputting the N original feature sets into the N multi-measure hierarchical models, and obtaining an optimal feature subset and a corresponding sensitivity weight matrix through feature screening; training an optimal feature subset through a neural network, and reconstructing a sensitivity weight matrix; performing weighted fusion on the optimal feature subsets by using a WKPCA algorithm, and inputting the optimal feature subsets into a neural network for model training; and extracting to-be-detected bearing fault feature data, inputting the to-be-detected bearing fault feature data into the trained neural network model, and judging the fault state of the bearing according to an output result. According to the invention, through screening and fusion of the vibration signals, the redundancy of features is reduced, and the precision and stability of bearing fault diagnosis are improved.

The invention discloses bathing equipment based on ultrasonic human body physiological data acquisition and auxiliary health protection. The bathing equipment consists of a physiological data acquisition bathtub, a physiological data acquisition shower head, a positioning label, a data acquisition server and a data acquisition system, wherein a data acquisition terminal is fixed on a track of an interlayer of a cylinder body of the bathtub; under the pulling of a traction motor, the data acquisition terminal spirally and slowly rotates and moves along the track; human physiological data of all body parts in a scope of the cylinder body are acquired through the emitting and receiving of ultrasonic waves; the ultrasonic waves emitted by the data acquisition terminal are emitted along with water flows from the holes in a shower head panel; after encountering a human body, part of reflected waves are reversely transmitted and received along the water flows to realize data acquisition, and an auxiliary massage can be realized by enlarging the power of ultrasonic wave emission; the positioning label is made from a sound transmission material to mark an acquisition position by a shape and a perforation code; the data acquisition server is made from an elastic sound transmission material, and main and collateral channels and acupuncture points are marked. The bathing equipment is used for acquiring the physiological data of the human body at the free time of bathing, is easy to operate and is used for health monitoring and auxiliary health protection.

The invention relates to an intelligent Internet-of-things elderly care health monitoring system, and belongs to a monitoring system; the system comprises a data acquisition module, a real-time data acquisition module, a power supply module, a microprocessor, an LORA module, an LORA gateway, a remote server and a client; the input end of the microprocessor is connected with the output ends of the data acquisition module, the real-time data acquisition module and the power supply module; and the output end of the microprocessor is connected with the input end of the LORA module, the output end of the LORA module is in communication connection with the remote server through the LORA gateway, and the remote server is in communication connection with the client. According to the system, technologies such as the Internet of Things, cloud computing, an intelligent terminal and an embedded system are applied, vital signs and living environments of the elderly are monitored by designing a low-power-consumption monitoring unit, and networking and data summarization of all the units are uploaded to a cloud side by using a LoRa technology. Under the support of cloud computing, health data is analyzed and processed in real time, and a common platform is built for the old, medical staff and family members.

The invention provides a small-sized double-rotor fault simulation experiment table and a fault diagnosis simulation method. The experiment table comprises two main components. The first part is an upper mechanical part, and the second part is a lower embedded control part. The mechanical part is mainly composed of double rotors rotating independently and a case simulating faults, and the embedded control part is composed of a vibration acceleration sensor, a rotating speed sensor and all modules. Wherein the lower embedded control part can realize communication with a matched upper computer, and data processing and analysis are realized by adopting a fault diagnosis method based on variational embedded multi-scale permutation entropy (veMPE).

The invention provides an electric motor health monitoring and abnormity diagnostic method based on feature selection and the mahalanobis distance. The method includes the first step of conducting data acquisition on vibration signals, current signals and rotating speed signals of electric motors, conducting feature computing on the signals, constructing feature spaces and selecting feature vectors for calculation of the mahalanobis distance in a feature selection method, the second step of the mahalanobis distances of the electric motors in a normal operation state and constructing mahalanobis spaces indicating the normal operation state of the electric motors, and the third step of calculating the mahalanobis distances according to signals of tested electric motors with unknown health conditions with reference to statistic parameters of the motors in the normal operation state and judging the health condition of the tested electric motors through comparison of the mahalanobis spaces. Through the electric motor health monitoring and abnormity diagnostic method based on feature selection and the mahalanobis distance, since the signals of the electric motors in the normal operation state are used for constructing the mahalanobis spaces, health monitoring and abnormity diagnosis on the motors in an unknown operation state can be effectively achieved.

The invention relates to a multifunctional underwear comprising an underwear body; the underwear body is provided with an inner layer and an outer layer. A heart sound detection module and a lung sound detection module are arranged on the inner layer; detection contacts of the heart sound detection module are located at the position, attached to the heart, of the inner layer, detection contacts ofthe lung sound detection module are located on the front side and the rear side of the inner layer respectively, the detection contacts of the heart sound detection module and the detection contactsof the lung sound detection module are connected with a signal acquisition module, and the signal acquisition module is connected with a signal transmission module. Meanwhile, the detection contacts of the heart sound detection module and the detection contacts of the lung sound detection module are connected with a sound amplification module for amplifying heart sound and lung sound; the output end of the sound amplification module is connected with the energy collection end of a vibration power generation module, the output end of the vibration power generation module is connected with a power supply unit, and the signal acquisition module and the signal transmission module are both connected with the power supply unit. The multifunctional underwear can conveniently and quickly monitor the health state of a human body and is convenient to use.

According to the in-orbit health monitoring orbit design method and system for the high-orbit non-zero inclination angle satellite, the high-orbit satellite in China is observed by using optical monitoring equipment carried on an aircraft, and the appearance, attitude and orbit position of the satellite in China can be monitored; meanwhile, failure satellites and space debris near satellites in China are observed, and collision is prevented. Firstly, a working area of an on-orbit health monitoring aircraft is determined according to a concentrated area of main high-orbit satellites in China; in the monitoring process, the aircraft drifts by using an orbit height difference, and a deployment orbit of the aircraft is designed according to a monitoring range of a detector carried by the monitoring aircraft, so that health monitoring can be carried out on a satellite with a non-0-degree inclination angle in an area; after area observation is completed, the monitoring aircraft reversely drifts in an orbit ascending or descending mode, so that comprehensive health monitoring of the area high-orbit satellite to the ground and the back of the ground is achieved.

The invention provides an AIOps intelligent operation and maintenance system based on an artificial intelligence technology. The AIOps intelligent operation and maintenance system comprises an AIOps intelligent operation and maintenance center system, a data middle station system, an AI middle station system, a technology middle station system, a service middle station system and a service application system. The intelligent operation and maintenance center system additionally comprises a system health degree scoring module, a root cause analysis module, a fault prediction module, a capacity evaluation module and an intelligent alarm convergence and noise reduction module. Monitoring operation and maintenance of'one center and four middle stations' and five-layer architecture are switched on, log, monitoring, performance and other data related to operation and maintenance are collected in various forms, operation and maintenance interfaces of a front stage, a middle stage and a back stage are switched on, and centralized management of operation and maintenance of a unified portal is achieved; tenant mode docking capability with group unified AI is reasonably constructed, an AI model and algorithm are reasonably introduced, computing resources are combined with local operation and maintenance data, an AIOps scene model and a centralized AI platform are carried out to complete training framework and standard compatibility, and sharing and multiplexing of model services are achieved.

The invention belongs to the technical field of unmanned aerial vehicle control, and particularly discloses an ECU (Electronic Control Unit) controller of an oil-driven direct-driven unmanned aerial vehicle, which comprises a shell and ECU controller hardware packaged in the shell, the ECU controller hardware comprises a power supply module, a CAN interface, a PWM interface, a power supply interface, a driving interface, an acquisition interface and an embedded MCU; the power supply module is used for power supply voltage reduction and voltage boosting for electrical use in the ECU; the CAN interface is used for connecting and communicating with an external flight control FCU; the PWM interface is used for receiving a control PWM signal output by an external flight control FCU; the driving interface is used for driving electric components such as an electric starter, an oil sprayer, a throttle valve steering engine and an ignition high-pressure pack of an external two-stroke gasoline engine to work; the acquisition interface is used for acquiring working voltage and current of an electric starter, an oil injector, a throttle valve steering engine and an ignition high-pressure pack of an external two-stroke gasoline engine as well as signals of a rotating speed sensor and signals of a throttle valve steering engine position sensor; and the embedded MCU is used for software operation processing of the ECU.

The invention discloses an excrement analysis and early warning system based on computer vision and an intelligent closestool comprising the excrement analysis and early warning system. The excrement analysis and early warning system comprises a data acquisition system, an image data analysis system, a machine learning training system and a health data storage and analysis system, the data acquisition system performs automatic image acquisition on the interior of the closestool by adopting a camera mounted in the intelligent closestool; the image data analysis system is used for receiving the image and sending the image to the machine learning training system for filing; a neural network model pre-constructed by the machine learning training system is used for analyzing the image to obtain an image analysis result of Bristmas classification containing excrement, and then the image analysis result is transmitted to the health data storage and analysis system; and the health data storage and analysis system is used for storing the image analysis result, carrying out long-time dimension analysis and early warning, and meanwhile, can be inquired by a user. The method can be used for health monitoring, has high automation degree and accurate analysis capability, and can protect user privacy.

The invention discloses a method for locating blade cracks based on visual vibration measurement and nonlinear bi-coherence spectrums, and the method comprises the following steps of setting a plurality of position mark points on a crack blade, exciting the blade by using a random signal excitation method, and simultaneously obtaining non-linear vibration signals at each marker point position of the blade; calculating the squared bi-coherence spectrums of the corresponding marker point positions based on the non-linear vibration signals of each marker point position; calculating the non-Gaussian indexes of the corresponding marker point positions based on the squared bi-coherence spectrums corresponding to each marker point; calculating the non-linear indexes corresponding to each marker point according to the squared bi-coherence spectrums corresponding to each marker point; calculating the total non-linear index corresponding to each marker point according to the non-Gaussian indexesand non-linear indexes corresponding to each marker point; drawing a corresponding distribution map according to the non-linear indexes and total non-linear index corresponding to each marker point to determine the location of the crack. By adopting the positioning method provided by the invention, the recognition effect of the blade breathing crack position can be improved.

The invention discloses a family prevention doctor system which comprises a client end, a medicine professor end and a server end. The client end is connected with a medical examination data collection device and collects medical examination data of a user and uploads the same to the server end, the medicine teacher end comprises a video module and a charging module and provides online consulting service through the video module, and the server end performs function authorization and receives the medical examination data of the client end for data analysis. A medical examination report is issued by constructing a system to analyze the medical examination data of the user and establishing a data base of the medical examination data for comparison and correlation as a reference of body condition of the user; consultation services are provided online by medical professors, so that convenience is brought to further professional diagnosis of the user, the user can accurately know own body condition through medical examination in this way, and real health monitoring is realized.

The invention provides a pump health monitoring method, system and equipment based on edge calculation and a medium, and the method comprises the steps: obtaining first sampling data of a to-be-detected pump through an edge calculation module, and carrying out the abnormality pre-judgment; if the judgment result includes abnormity, the edge calculation module sends the first sampling data and the second sampling data of the to-be-tested pump to the server, and the server determines the health state of the to-be-tested pump to realize active health monitoring of the to-be-tested pump, so that intelligent and real-time monitoring of the health state of the to-be-tested pump can be realized; meanwhile, when the detection result is abnormal, the server needs to intervene in evaluation of the health state, so that the processing amount of the server on various monitoring sampling data can be effectively reduced, the analysis speed of the server is improved, the memory consumption is reduced, the edge calculation module receives the health value, an operator can quickly master the current state of the equipment, and the user experience is improved. Operation insurance personnel can timely decide next operation insurance key points, time and operation insurance measures.

The present invention provides a state condition detection device for a power distribution line supporting structure. The state condition detection device includes a meteorological sensing device and a supporting state sensing device; the meteorological sensing device and the supporting state sensing device are arranged on the supporting structure; and the meteorological sensing device and the supporting state sensing device are used for detecting meteorological information and dynamic response information respectively. With the state condition detection device adopted, the dynamic load monitoring and health monitoring of a power distribution line in the case of bad weather can be realized.