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108results about How to "Realize automatic diagnosis" patented technology

Electrocardiogram diagnosis method and system based on deep convolution neural network

The invention discloses an electrocardiogram diagnosis method and system based on a deep convolution neural network. The diagnosis method comprises the steps that a collected original electrocardiogram of the human body is preprocessed to obtain a plurality of heartbeat fragments with a preset length; the heartbeat fragments are input into a trained deep convolution neural network model, and a prediction value of each category is obtained; the category of a single heartbeat corresponding to the maximum prediction value and the time interval of the heartbeat and a previous heartbeat are recorded, and a time series is formed; on the basis of a preset mapping relation between a clinical diagnosis criterion and the time series, the time series is matched with the diagnosis criterion, and a corresponding diagnosis result is obtained. Any feature in the electrocardiogram is not required to be extracted, so that valid information loss, noise data introduction and other problems caused by manual screening and processing are avoided to the largest extent, and the influence of manual characteristic extraction on the diagnosis accuracy is reduced.
Owner:成都比特律动科技有限责任公司

Failure diagnosis device and method of electric control circuit

The invention provides a fault diagnosis device for an electrical control circuit. The device comprises a sensor, a central processing unit and a display, wherein the sensor is connected between a power supply of the control circuit and the electrical control circuit to detect and acquire signals of actual current in electromagnetic valves or relays of the electrical control circuit and send the signals to the central processing unit, and the central processing unit outputs trigger pulses according to a preset sequence to trigger electromagnetic valves or relays of the electrical control circuit sequentially, receives the signals of the actual current in the electromagnetic valves or the relays sent by the sensor, judges whether or not faults occur in the electromagnetic valves or the relays and outputs information on failed electromagnetic valves or relays. The invention also provides a fault diagnosis method for the electrical control circuit. With the method and the device, faults of the electrical control circuit can be diagnosed quickly, simply and precisely.
Owner:SANY HEAVY IND CO LTD (CN)

Rolling bearing fault diagnosis method based on conditional empirical wavelet transformation

ActiveCN109211568ASuitable for troubleshootingAvoid predefining the number of modalsMachine part testingSignal onDiagnosis methods
The invention relates to the field of bearing fault diagnosis, discloses a rolling bearing fault diagnosis method based on conditional empirical wavelet transformation, and aims to improve the accuracy of fault feature extraction and fault type identification of a bearing. The method is characterized by comprising the following steps of firstly, acquiring a bearing vibration signal; secondly, setting n frequency spectrum maximum values, and carrying out conditional empirical wavelet transformation on the bearing vibration signal on the basis of the n frequency spectrum maximum values; thirdly,calculating cyclic component ratios of modes after transformation, and storing the maximum values and the modes corresponding to the maximum values; fourthly, if the currently stored maximum cyclic component ratio is larger than a reference cyclic component ratio, defining that n=n+1, taking the currently stored maximum cyclic component ratio as a new reference cyclic component ratio, and repeating the operation; fifthly, selecting out the mode corresponding to the maximum cyclic component ratio stored each time again; and finally, calculating a square envelope spectrum of the selected mode.The method is suitable for the rolling bearing fault diagnosis.
Owner:SICHUAN UNIV

Locomotive motor bearing automatic diagnostic method based on vibration acceleration signal

The invention discloses a locomotive motor bearing automatic diagnostic method based on a vibration acceleration signal, comprising the steps of: acquiring a vibration acceleration signal and a speed key phase signal of a motor bearing; performing order tracking and constant-angle incremental sampling, and converting the vibration acceleration signal into an angular-domain vibration acceleration signal; calculating an FFT spectrum and an EEVS enhanced envelope spectrum; setting effective frequency bands in the FFT spectrum and the EEVS enhanced envelope spectrum according to a bearing fault frequency; calculating the fault probability of each component of the bearing according to the band energy in the FFT spectrum and the EEVS enhanced envelope spectrum; setting weights and calculating the weighted probability of each component of the bearing; comparing a preset fault reference probability with the weighted probability of the current bearing so as to automatically determine a fault type and representing the severity of the fault by the weighted probability.
Owner:湖北微特传感物联研究院有限公司

Vascular stenosis detection method and equipment

The invention discloses a vascular stenosis detection method and device. The method comprises the steps of acquiring a computed tomography angiography (CTA) image for a blood vessel to be detected; straightening and imaging the CTA image at a plurality of set angles to obtain a plurality of straightened images at a plurality of set angles; carrying out width measurement on the straightened imagesone by one, and outputting a width curve corresponding to the straightened image with the set angle; and performing plaque positioning screening on the width curve one by one, and determining a narrowarea of the blood vessel to be detected according to a plaque positioning screening result. By implementing the method and the equipment provided by the invention, the accuracy of vascular stenosis detection can be improved.
Owner:数坤(北京)网络科技股份有限公司

Vascular condition detection method and apparatus based on heart point fluctuation conduction property

The invention discloses a vascular condition detection method and a vascular condition detection apparatus based on a heart point fluctuation conduction property. The method comprises the following steps: making a flexible detection terminal attached to the outer side of the skin of cardiac muscle or vascular wall, dispersing a cardiac muscle or vascular wall detection region into a plurality of preset detection points, and through the active transmitting of ultrasonic wave and the array receiving of ultrasonic echo, implementing multi-dimension detection on point fluctuations or point pulse waves by virtue of back-end inversion; and identifying a vascular conduction property by virtue of a digital signal processing method by taking the plurality of the point fluctuations of the cardiac muscle and the plurality of the point pulse waves in some vascular detection region as multi-input and multi-output signals, decomposing the property so as to obtain a vascular conduction property of some section, and implementing characteristic comparison after characteristic extraction so as to achieve vascular condition and disease prediction and diagnosis. The apparatus comprises a plurality of flexible detection terminals having ultrasonic wave transmitting and receiving capability, a control module and a computation module, wherein transmitting and receiving integrated ultrasonic probe arrays are arranged the flexible detection terminals and the arrays are fixedly arranged on flexible circuit boards.
Owner:GUANGZHOU FENGPU INFORMATION TECH CO LTD

Intelligent health observation system for roof network frame construction with large-scale complex body type

This invention relates to an intelligent and healthy monitoring system for large complex roof web structure, which comprises sensor system, collection communication interface and data base for storing data and is characterized by the following: there are located with intelligent alarming system of the web structure working status and intelligent system to support steel racket work status and web structure pole and ball joint self diagnose system for welding crack and web structure anti-elapse safe real time valuation system between the communication interface and the data base to store data. This invention can realize the real-time automatic working status alarming , structure damage self-diagnose and structure anti-elapse safe valuation to ensure the safety in the use of the web structure.
Owner:WUHAN UNIV OF TECH

Artificial intelligence medical image automatic diagnosis system and method

The embodiment of the invention provides an artificial intelligence medical image automatic diagnosis system and method. The method comprises the steps: collecting medical microscope images and corresponding diagnosis data; labeling the medical microscope images to obtain labeling data corresponding to the medical microscope images; and constructing a training set and a test set based on the diagnosis data and the annotation data corresponding to the medical microscope images, and performing training based on a deep learning model to obtain an optimal AI classification model and an optimal AIsemantic segmentation model, thereby realizing automatic diagnosis of the medical microscope images of a detection sample. According to the embodiment of the invention, human resources can be effectively saved, diagnosis time is shortened, and diagnosis accuracy is improved.
Owner:SUZHOU TURING MICROBIAL TECH CO LTD

Power equipment fault diagnosis method based on infrared image

The invention discloses a power equipment fault diagnosis method based on an infrared image, and the method comprises the steps: collecting the infrared image of power equipment, carrying out the preprocessing of the infrared image, and building an infrared image data set; importing the test image data set to train the Mask R-CNN network; importing the infrared image data set into a trained Mask R-CNN network, and obtaining an infrared image detection network through small sample transfer learning; inputting a to-be-detected infrared image into the infrared image detection network, performingtemperature analysis and target detection on the to-be-detected infrared image to obtain temperature distribution and a region position of the to-be-detected infrared image, and comparing the temperature distribution and the region position with the infrared image fault feature library to diagnose whether the power equipment has a fault or not. According to the invention, an infrared temperature measurement fault automatic diagnosis method combining a pixel-level target detection technology and a temperature analysis method is introduced, and automatic diagnosis of power equipment faults can be realized.
Owner:XI AN JIAOTONG UNIV

CAN bus fault diagnosis method and system

The invention relates to a CAN bus fault diagnosis method and system. The method comprises the steps that A) a control command is emitted, and present CAN bus data communication is stopped; B) a pre-determined current is output to a CAN bus circuit; C) the voltage value at the two ends of a terminal resistor in the CAN bus circuit is collected; and D) when the voltage value is greater than a first or second preset threshold, a connected circuit of the terminal resistor is determined to be abnormal. The method and system can automatically diagnose faults of the terminal resistor.
Owner:HUNAN SANY INTELLIGENT CONTROL EQUIP

Vehicle failure remote diagnosis system

The invention relates to a vehicle failure remote diagnosis system which comprises a fault on-site signal processing unit and a fault diagnosis and treatment unit. The fault on-site signal processing unit and the fault diagnosis and treatment unit are interconnected with each other through a network. The fault on-site signal processing unit comprises a first server, a camera, a first microphone and a first audio output device, wherein the first server is respectively connected with the camera, the first microphone and the first audio output device. The fault diagnosis and treatment unit comprises a second server, a display, a second microphone, a second audio output device and a memory, wherein the second server is respectively connected with the display, the second microphone, the second audio output device and the memory. According to the invention, fault vehicle video information and language information of faults from fault on-site diagnosis personnel can be acquired and rapidly transmitted through a network to experts of a diagnosis center. Omnibearing fault information description is conducive to fault diagnosis of experts, and diagnosis efficiency is raised. In addition, automatic diagnosis of faults can also be realized through fault code comparison.
Owner:DONGFENG AUTOMOBILE COMPANY

Start stop system and device and method for diagnosing faults of relays of start stop device

The embodiment of the invention discloses a device for diagnosing faults of relays of a start stop device. The device comprises a first switch, a second switch, a collecting module and a processing module. The first switch is used for controlling the start stop chain relay to be turned on and turned off; the second switch is used for controlling the transmission chain relay to be turned on and turned off; the processing module is used for controlling the on-off states of the first switch and the second switch; the collecting module is used for collecting the voltage of the corresponding input end and / or the corresponding output end of the start stop chain relay and / or the transmission chain relay; the processing module is further used for diagnosing the faults of the start stop chain relay or the transmission chain relay according to the collected voltage of the corresponding input end and / or the corresponding output end of the start stop chain relay and / or the transmission chain relay. The embodiment of the invention further discloses a method for diagnosing the faults of the relays of the start stop device and a start stop system. The method and device can diagnose the faults of the relays of the start stop device and facilitate repair of the start stop device.
Owner:GUANGZHOU AUTOMOBILE GROUP CO LTD

Cloud platform for conducting on-line monitoring on tail gas of diesel vehicle

The invention relates to a cloud platform for conducting on-line monitoring on tail gas of a diesel vehicle. The diesel vehicle comprises a tail gas treatment system. The tail gas treatment system comprises a low-temperature heater, an oxidation type catalyst, a particle catcher and a tail gas pipe bypass. The low-temperature heater, the oxidation type catalyst and the particle catcher are connected to the tail end of a tail gas pipe of a diesel engine sequentially. The tail gas pipe bypass and the particle catcher are in parallel connection. The cloud platform comprises a wireless transmission module. The wireless transmission module achieves bidirectional data exchange with an electronic control unit and a local display module, is used for receiving GPS data, and achieves bidirectional data exchange with transmission link equipment of an operator. The transmission link equipment of the operator achieves bidirectional data exchange with a cloud intelligent platform server. The cloud intelligent platform server achieves bidirectional data exchange with a cloud memory, a PC client / intelligent terminal device and a command center. The electronic control unit comprises an automatic monitoring module, an automatic diagnosis module and an automatic repair module.
Owner:贵州北斗环科工程有限公司

DEH speed regulating function diagnosis method and system for load shedding condition

The invention discloses a DEH speed regulating function diagnosis method and system for a load shedding condition. The method comprises the steps that after DEH hybrid simulation is conducted to achieve a full load, a grid-connection switch is disconnected, a load shedding simulation experiment is started, operation is conducted on input governor valve feedback and intercept valve feedback through a DEH rotating speed simulation logic module, and the simulation rotating speed of a steam turbine is output; an automatic ascending curve characteristic data acquisition logic module automatically collects the simulation rotating speed of the steam turbine, and the characteristic data of an ascending curve is captured automatically; meanwhile, the DEH electrical response time and hydraulic response time are worked out through an SOE system; a DEH speed regulating function self-diagnosis logic module receives characteristic data of the ascending curve and the DEH electrical response time and hydraulic response time and conducts DEH speed regulating function diagnosis step by step according to the preset priorities from high to low, diagnosis of each level has an independent voting right, diagnosis after voting becomes invalid, a voting result serves as a diagnostic conclusion, and key fault points abnormal in speed regulating function are output.
Owner:SHANDONG ZHONGSHI YITONG GRP

Pneumoconiosis detection method based on deep learning and system

ActiveCN108510489AReduced identification of problems that require significant medical resourcesRealize automatic diagnosisImage enhancementImage analysisDICOMParenchyma
The invention relates to a detection method of pneumoconiosis nodules. The method comprises the following steps: S1, converting a CT image of a DICOM format into a lung image of a numpy array format,and reading CT image data information; S2, carrying out morphological operations to obtain a parenchyma image retaining only lung parenchyma; S3, dividing the parenchyma image into multiple small blocks of small-block images; S4, sending the small-block images into a convolutional neural network for screening and diagnosis of the pneumoconiosis nodules, and obtaining a detection result; and S5, storing the detection result as a csv format. According to the method, the number of the pneumoconiosis nodules and coordinate areas where the same are located are detected through converting, the morphological operations and screening of the CT image, automatic diagnosis of a pneumoconiosis symptom is realized, and the problem that pneumoconiosis identification requires massive medical resources isalleviated.
Owner:四川元匠科技有限公司

Air conditioner detection method and device, storage medium and air conditioner

The invention provides an air conditioner detection method and device, a storage medium and an air conditioner. The air conditioner detection method comprises the steps that voltage signals on communication lines of an indoor unit and an outdoor unit of the air conditioner are detected, or a voltage signal on a communication line of the indoor unit or the outdoor unit of the air conditioner is detected; the detected voltage signal is converted into a digital signal; and operation data of the air conditioner are analyzed according to the digital signal. According to the technical scheme, by detecting the voltage signal on the communication line, the operation data of the air conditioner are analyzed, the operation state of the air conditioner can be automatically monitored, accordingly maintenance accuracy and the efficiency of maintenance personnel are improved, and the user satisfaction degree and reliability of equipment operation are promoted.
Owner:GREE ELECTRIC APPLIANCES INC

An agricultural machinery equipment monitoring and management system and method based on an Android smart phone

PendingCN109919341ARealize fault self-diagnosisAchieve self-diagnosisReservationsTransmissionMicrocontrollerData acquisition
The invention relates to the technical field of agricultural machinery monitoring. The invention relates to agricultural machinery, in particular to an agricultural machinery equipment monitoring andmanagement system and method based on an Android smart phone. The system comprises a vehicle-mounted terminal, a data transmission network and a remote monitoring platform. The vehicle-mounted terminal comprises a microcontroller, an agricultural machinery rotating speed sensor mounted on the agricultural machinery equipment; agricultural machinery driving speed sensor, GPS sensor, GIS sensor andODB2 standard interface, each output electric signal end of the above sensors is connected with the input end of the microcontroller; the output signal end of the microcontroller communicates with theoutside through Bluetooth, automatic fault diagnosis, big data sharing and multiple functions are achieved, agricultural machine tool data collection and agricultural machine fault real-time diagnosis are conducted in real time, and agricultural machine tool management and reservation operation are achieved.
Owner:贵州大润田农业有限公司

Hoisting machine

The invention discloses a hoisting machine. The hoisting machine comprises a plurality of hoisting pillars; a lifting mechanism is arranged on one side of each hoisting pillar, and an input device and a display device are arranged on the other side of each hoisting pillar. The hoisting machine further comprises a central processing unit and a maintenance operation information storage unit. The input device is used for inputting work order information to the central processing unit, the work order information is displayed in the display device, and accordingly work order management can be carried out through the input device and the central processing unit. In addition, the central processing unit can give an alarm when the hoisting machine breaks down. The display device prompts a user of the method for solving breakdown, and therefore operation is finished through the hoisting machine.
Owner:MIT AUTOMOBILE SERVICE

Intelligent safety monitoring and early warning system for urban rail

The invention relates to the field of rail monitoring, in particular to an urban rail intelligent safety monitoring and early warning system, which comprises a public safety analysis system, and the public safety analysis system comprises a big database, an intelligent prediction and early warning model and a visual display module. The public safety analysis system stores fault data information or early warning data information in the passenger flow intelligent analysis system, the pantograph-catenary relationship online monitoring system, the train running gear monitoring system and the wheel-rail state monitoring system in a large database by using a wireless transmission system; the public safety analysis system establishes the intelligent prediction and early warning model by using the fault data information or early warning data information of the big database, and outputs early warning information by using the intelligent prediction and early warning model. And the visual display module is used for displaying the early warning information output by the intelligent prediction early warning model.
Owner:XIAMEN ATTIOT INTELLIGENT TECH

A CPU heat dissipation performance t method and system

The invention relates to the technical field of server heat dissipation test, which provides a CPU heat dissipation performance test method and a system. In the process of diagnosis and detection of the server, a pre-generated CPU pressurization program script tool is called to exert pressure on the CPU. When the pressure of the CPU is stable, collecting the temperature of each logic core of the CPU every other fixed period of time within a preset first time threshold, wherein N temperature parameter values are collected, and the N is greater than or equal to 2; Analyze and process the collected N temperature parameter values to judge the heat dissipation performance of CPU, so as to realize the automatic diagnosis of the heat dissipation performance of CPU, reduce the human participationin the heat dissipation test process, simplify the test process and improve the test efficiency.
Owner:ZHENGZHOU YUNHAI INFORMATION TECH CO LTD

ARM-based 150 kW short-wave transmitter monitoring system

The invention provides an ARM-based 150 kW short-wave transmitter monitoring system. The monitoring system has the functions of measurement for the electrical signals of a 150 kW short-wave transmitter, temperature measurement, amplitude modulation measurement, interface display, data storage, serial communications, network communications or the like. The system processes and analyzes all the monitoring data of the 150 kW short-wave transmitter to judge whether the overall working state of the transmitter is normal or not. Meanwhile, the system realizes the functions of automatic meter reading, automatic detection, automatic diagnosis, ultra-threshold alarm, data query, WIFI and so on.
Owner:牟丽 +1

Diesel vehicle tail gas emission on-line monitoring, diagnosis and repair method

The invention relates to a diesel vehicle tail gas emission on-line monitoring, diagnosis and repair method. A diesel vehicle comprises a tail gas treatment system. The tail gas treatment system comprises a low-temperature heater, an oxidation type catalyst, a particle catcher and a tail gas pipe bypass. The low-temperature heater, the oxidation type catalyst and the particle catcher are connectedto the tail end of a tail gas pipe of a diesel engine sequentially. The tail gas pipe bypass and the particle catcher are in parallel connection. The diesel vehicle tail gas emission on-line monitoring, diagnosis and repair method comprises the step that an electronic control unit in communication with the tail gas treatment system sends a monitoring starting signal to the tail gas treatment system, wherein the electronic control unit comprises an automatic monitoring module, an automatic diagnosis module and an automatic repair module. The automatic repair module controls the operation condition of the vehicle according to diagnosis information about the condition of the engine and provided by the diagnosis module, and the parameters of the engine are adjusted in a preset repair mode under the diagnosed abnormal condition of tail gas till the effect that the abnormal condition of tail gas changes into the normal condition is confirmed.
Owner:贵州北斗环科工程有限公司

Method for guiding and segmenting teeth by utilizing morphological data

The invention discloses a method for guiding and segmenting teeth by utilizing morphological data. The method comprises the following steps: S1, acquiring three-dimensional volume data of a patient and three-dimensional surface data of the teeth; S2, carrying out volume rendering; S3, extracting a gingival edge line; S4, performing model registration on the data; S5, carrying out voxel segmentation of tooth attributes; S6, carrying out data verification, and deleting the part which does not belong to the tooth attribute; S7, performing three-dimensional reconstruction; and S8, segmenting the data of the teeth according to the tooth positions. According to the invention, automatic segmentation can be carried out on teeth in an image; operation is simple, and each tooth can be segmented; andautomatic recognition of the teeth, periodontal tissues and other tissues is achieved, the clinical requirements of oral medicine are better met, development of the oral medicine is promoted, automatic diagnosis of oral diseases is achieved through the digitization technology, and a technical foundation is laid for development of automatic orthodontic tooth arrangement, automatic diagnosis of periodontal recovery and the like special for orthodontics.
Owner:PEKING UNIV SCHOOL OF STOMATOLOGY +1

Insulating tube bus fault diagnosis method based on LDA optimization multi-scale textural features

The invention relates to an insulating tube bus fault diagnosis method based on LDA optimization multi-scale texture features, and the method comprises the steps: 1, collecting an insulating tube buspartial discharge signal, constructing a PRPD spectrogram, and then constructing the PRPD spectrogram into a Gaussian pyramid spectrogram space; 2, extracting texture statistics of a Gaussian pyramidspectrogram space to form multi-scale texture features; 3, screening texture features through an LDA optimization method; 4, establishing a CART classification tree model according to the texture features screened in the step 3, and training and testing the model; and step 5, performing insulation tube bus fault diagnosis by using the CART classification tree model established in the step 4, and outputting a fault diagnosis result. Compared with the prior art, the method has the advantages of being high in recognition accuracy, capable of achieving automatic fault diagnosis, good in real-timeperformance and the like.
Owner:SHANGHAI MUNICIPAL ELECTRIC POWER CO

Pipeline heating diagnosis method of unmanned aerial vehicle infrared video for crude oil pipeline inspection

The invention provides a pipeline heating diagnosis method of an unmanned aerial vehicle infrared video for crude oil pipeline inspection. The pipeline heating diagnosis method comprises the followingsteps: step 1, performing shooting to obtain a video picture of a pipeline by utilizing infrared equipment carried by an unmanned aerial vehicle; step 2, splicing the images according to a matching method of a neural network; 3, performing inter-frame difference according to the spliced images; 4, extracting the main direction of the long-distance pipeline from the processed image; 5, extractinguseful long-distance pipeline information from the infrared image by taking the extracted main direction as priori knowledge; and step 6, identifying and judging faults and damages existing in the long-distance pipeline along the obtained main direction of the pipeline area according to a pipeline abnormality judgment criterion. According to the pipeline heating diagnosis method of the unmanned aerial vehicle infrared video for crude oil pipeline inspection, a high-quality image can be obtained, and automatic positioning and diagnosis of an abnormal heating crude oil pipeline based on the infrared video are realized.
Owner:CHINA PETROLEUM & CHEM CORP +1

Electric actuating mechanism fault diagnosis method

The invention discloses an electric actuating mechanism fault diagnosis method. The electric actuating mechanism fault diagnosis method comprises the steps that operating data and maintenance data of an electric actuating mechanism are analyzed to establish a knowledge base of operating states of the electric actuating mechanism and a diagnosis model of the electric actuating mechanism; the state characteristic quantity of the electric actuating mechanism during debugging and operation is extracted, operation is conducted on the state characteristic quantity according to the diagnosis model, and the operating state of the electric actuating mechanism is judged; if the operating state of the electric actuating mechanism is a fault state, it is determined that the electric actuating mechanism breaks down; when the electric actuating mechanism is in the fault state, the fault type of the fault state is determined according to fault classification, and self-recovery operation is conducted on the fault to restore the normal working state of the electric actuating mechanism. The electric actuating mechanism fault diagnosis method achieves automatic fault diagnosis, meets the control system fault detection and diagnosis demands in the large complicated production process and improves the fault diagnosis efficiency.
Owner:TECH INFORMATION CENT SPIC HENAN ELECTRIC POWER CO LTD

Fault diagnosis system for transformer winding based on correlation dimension and random forest

The invention discloses a fault diagnosis system for a transformer winding based on a correlation dimension and a random forest. The system employs an STM32 single-chip microcomputer as a control coreto form a signal collection uploading circuit, and the single-chip microcomputer collects a converted and filtered winding vibration signal, and then the signal is uploaded to an upper computer through an NB-IOT network. The upper computer carries out the phase space reconstruction of a signal sequence through programmed software, and calculates a feature quantity: the correlation dimension. Afterwards, the correlation dimension is taken as the characteristic, and a random forest model is used for recognizing the fault and non-fault windings. The system achieves the mining of the features ofthe vibration signal of the winding in a high-dimensional space, employs the random forest for diagnosis, can improve the recognition accuracy of the fault winding, and achieves the automatic online state monitoring of the transformer winding through the NB-IOT network.
Owner:ANHUI UNIV OF SCI & TECH
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