103results about How to "Realize condition monitoring" patented technology

The invention provides a primary equipment intelligent interface device in a substation. The device comprises a driving-in module, a state collecting module, a communication module, a driving-out module, a man-machine interface module, and a data and logic processing module which are connected through a bus. According to the primary equipment intelligent interface device in the substation, logic operation is used for replacing a traditional electromagnetic relay circuit, so that the state of primary equipment of the substation can be detected. The device has a self-detection function and a communication function, can effectively overcome the defects that the number of failures of a traditional relay circuit is large, and the failures in operation can not be detected, can detect the state of a switch and other primary equipment in real time, simplifies a circuit, simplifies installation, improves efficiency of operation on the primary equipment, and improves the reliability of operation of the primary equipment.

The invention provides a dumper lifting safety monitoring device and method. The device comprises an angle sensor, an oil pressure sensor, a central control device and a cab display device; the oil pressure sensor is arranged at an oil port of a hydraulic cylinder to collect oil pressure; the angle sensor is arranged above an overturning shaft and in the center of the abdomen of a carriage and isused for collecting the angle of the carriage. According to the technical scheme, the dumper lifting safety monitoring device has the advantages that on one hand, the lifting angle and heeling angle of the carriage can be monitored in real time, the oil circuit pressure can be monitored in real time, carriage lifting abnormity is comprehensively analyzed, assessed and identified in combination with the goods weight, and possible rollover accidents can be predicated; on the other hand, the goods loading weight of a vehicle can be calculated, warning of overload is performed, the work weight iscounted, and maintenance recommendations are provided for a vehicle lifting system; weighing and weight control are achieved simultaneously, the efficiency is high, remote monitoring is achieved, andthe accuracy is good.

The invention discloses a parallel MOS transistor current sharing and short circuit protection circuit, and relates to the technical fields of electronic circuits and power electronics. The parallel MOS transistor current sharing and short circuit protection circuit comprises a switching value monitoring circuit, an analog quantity monitoring circuit, a fast monitoring circuit, an MOS transistor parallel current sharing circuit, a driving circuit and a main control circuit, wherein one end of the switching value monitoring circuit is connected with the main control circuit; the other end of the switching value monitoring circuit is connected with the main control circuit and one end of the analog quantity monitoring circuit; the other end of the analog quantity monitoring circuit is connected with the fast monitoring circuit; the fast monitoring circuit is connected with the main control circuit and one end of the MOS transistor parallel current sharing circuit; and the MOS transistor parallel current sharing circuit is connected with the driving circuit and external bus voltage. The parallel MOS transistor current sharing and short circuit protection circuit realizes that each MOS transistor is equal in flowing current and switching speed, and can detect the current operating state of each MOS transistor quickly and effectively; and the parallel MOS transistor current sharing and short circuit protection circuit is simple and reliable in circuit construction and small in PCB occupation area.

The invention discloses a metro stray current wireless monitoring system and a metro stray current wireless monitoring system method. The metro stray current wireless monitoring system comprises a monitoring center, a ZigBee wireless network and n intelligent sensors, wherein the monitoring center is used for monitoring states and parameters of each metro stray current monitoring point, the ZigBee wireless network comprises one ZigBee coordinator and n ZigBee routers, the ZigBee coordinator is in communication connection with the n ZigBee routers, each ZigBee router is used for monitoring one metro stray current monitoring point, each intelligent sensor is used for collecting data of one metro stray current monitoring point, the monitoring center is in communication connection with the ZigBee coordinator, and the n ZigBee routers are correspondingly connected with the plurality of intelligent sensors respectively. Through a ZigBee wireless network technology, intelligent monitoring of a metro stray current is achieved, cost is low, and the metro stray current wireless monitoring system is convenient to use.

The embodiment of the invention discloses a method for monitoring the status of a rotating diode of a magnetizing exciter, which comprises the following steps of: collecting a rotating diode signal and a phase discrimination pulse signal of the magnetizing exciter; and analyzing the collected rotating diode signal and the collected phase discrimination pulse signal to determine the status of the rotating diode. The embodiment of the invention also discloses a device for monitoring the status of the rotating diode of the magnetizing exciter. The method and the device are used for monitoring the status of the rotating diode in a rotating rectifier, so that the failed rotating diode can be treated in time, and the normal operation of the magnetizing exciter is ensured.

The embodiment of the invention discloses a branch state monitoring method of a rotary rectifier, which comprises the following steps of: obtaining the rotating period of the rotary rectifier; sequentially obtaining conducting branch signals of the rotary rectifier in the period; carrying out analysis processing on the conducting branch signals in the period; and determining the branch state of the rotary rectifier. The embodiment of the invention also discloses a branch state monitoring device of the rotary rectifier. When the branch state monitoring method and the branch state monitoring device are adopted, the branch state of the rotary rectifier can be monitored so that faults generated in branches can be processed in time to ensure the normal operation of a generator.

The invention provides a gas in oil prediction method via combined prediction and residual correction. The method comprises the following steps: (1) separating a gas through an oil-gas separation device, analyzing gas composition and proportion by using dissolved gas online chromatographic analysis and gas sensitive sensor analysis, and establishing a dissolved gas time sequence; (2) determining the correlation between gases by using a gray correlation degree, establishing an MGM (1, n) prediction model, and outputting a gray prediction result; and (3) determining a training set and a test set, and initially correcting the training set and test set results through residual adaptive regression, performing state division on the training set on the basis, and further correcting a predicted value of the test set by using a Markov model. The gas in oil prediction method provided by the invention is mainly applied to the state monitoring of an oil-filled transformer so as to discover a faultin time and to avoid further loss conveniently, and the error caused by the corrected predicted value is obviously smaller than the error caused by the traditional gray prediction result;and accurateand efficient fault identification is ensured, the principle is simple, and the operation is simple and convenient.

The invention relates to a gear state monitoring index extraction method based on KL divergence and root mean square values. According to the method of the invention, the influence of rotation speed fluctuation is eliminated through key phase information and by means of angle domain re-sampling; stable modulated signals are obtained through a time domain synchronous averaging method; one-times meshing frequencies and three-times side frequencies are filtered out through cut-off filtering; an exact meshing frequency and side frequencies are determined through using amplitude search; the amplitude of the meshing frequency is increased so as to exceed the sum of the amplitudes of the side frequencies; Hilbert transformation is adopted to solve a signal envelope, so that envelope signals can be obtained; 30 sets of numbers are selected, an KL divergence trend graph and a normalized RMS value trend graph are drawn; and the operating state of a gear is evaluated on the basis of a KL divergence trend and a normalized RMS value trend. With the method of the invention adopted, the state monitoring of a gear case is effectively performed, and misjudgment is unlikely to occur.

The invention discloses a numerical control machine tool reliability data collection and analysis system. The system comprises the two parts of a hardware platform and collection system software, wherein the hardware platform comprises a sensor, a data collection device, a monitoring upper computer and other core modules; and the system software mainly comprises a user login module for permissionverification, a data collection control module for setting collection parameters, a display module for displaying machine tool real-time state information and a data analysis module for signal analysis. The system is a multi-task monitoring system integrating data collection and processing, state real-time monitoring and information storage and output, and the system is easy to operate and good inportability. Through the system, the working conditions of a numerical control machine tool body can be monitored on line in real time, and the fault rate of machine tool mechanical parts is lowered;and meanwhile, maintenance personnel are assisted in fault diagnosis, and the automatic degree and the software fusion degree are high.

The invention provides an emergency wireless broadband communication system, which comprises a central base station and a multimedia mobile terminal. The central base station is used for receiving multimedia data transmitted by the multimedia mobile terminal through a wireless broadband network and transmitting the multimedia data to the multimedia mobile terminal through the wireless broadband network; and the multimedia mobile terminal is used for collecting the multimedia data after establishing connection with the central base station through access to the wireless network, transmitting the collected multimedia data to the central base station through the wireless network, and receiving the multimedia data transmitted by the central base station. The system can help the command center to flexibly master the actual situation of the emergency accident site, and has the advantages of high mobility, flexible networking and great economic significance.

The invention provides a multi-dimensional comprehensive online monitoring intelligent diagnosis system for a transformer. The system comprises a perception sensing layer, an edge calculation layer, a deep learning layer, a cloud feedback layer and a user control layer. The sensing layer comprises a plurality of intelligent sensors and is used for acquiring a plurality of dimension parameters of the transformer; the edge calculation layer comprises an edge calculation terminal, and the perception sensing layer sends the multiple dimension data to the edge calculation terminal to execute edge calculation; the deep learning layer summarizes and analyzes a plurality of edge calculation results of the edge calculation terminal, and determines whether to provide a feedback signal to the cloud feedback layer based on the summarized and analyzed result; the cloud feedback layer updates an edge computing model of the edge computing terminal based on the feedback signal; and the user control layer is used for controlling the sensing state of the perception sensing layer and identifying the state of the transformer based on the edge calculation result. According to the method, comprehensive intelligent diagnosis can be performed based on multi-dimensional data, and the edge model can be updated in a self-learning manner.

According to a gear state monitoring index extraction method based on a discrete random separation algorithm, the maximum value f[max] and the minimum value f[min] of 1-to-4-times of a side frequency amplitude of a twice-mesh order of a reference signal; the 1-to-4-times of the side frequency amplitude f of the twice-mesh order of a to-be-measured signal is calculated; and finally, a monitoring index is calculated; differential spectrum calculating is carried out according to the maximum value f[max], the minimum value f[min] and the side frequency amplitude f; and then differential spectrum values of all spectral lines are accumulated and summed to be used as the monitoring index. The method of the invention realizes extraction of the monitoring index reflecting the gear running state, and through a vibration acceleration signal, state information of a specific gear is precisely extracted, thereby realizing the state monitoring of the gear.

The invention relates to the field of unmanned aerial vehicle inspection, and discloses a power transmission line key device defect identification method based on unmanned aerial vehicle inspection, which comprises the steps of collecting corresponding defect samples and non-defect samples for key devices of a power transmission line to form a sample data set for intelligent defect detection of the power transmission line; increasing the number of defect samples in the sample data set through a data enhancement algorithm; training defect detection models of various key devices by adopting a deep convolutional neural network; deploying to a back-end server; acquiring a real-time video of the unmanned aerial vehicle, acquiring a key frame image from the real-time video, performing compressedencoding on the key frame image, transmitting the key frame image to a back-end server, and calling the defect detection model of the key device of the power transmission line by the back-end serverto perform defect detection to obtain defects of the key device of the power transmission line. According to the invention, state monitoring of key devices of the power transmission line is realized,and defects of the power transmission line are identified and early warned, so that safety conditions of the key devices of the power transmission line are stably detected and safe operation of the line is guaranteed.

The invention discloses an on-line evaluation method of a switching resistor of a transformer substation in a three-second wiring mode. The method is realized based on a CRIO platform. A current collection card arranged on the CRIO platform is used for obtaining switching currents at different moments; an inequality constraint condition of the switching resistor and the current is established based on a Kirchhoff voltage law and a maximum value of the switching resistor of the transformer substation is selected as a target function, thereby establishing an optimum planning model of the switching resistor; and then an optimum planning model is resolved by using a genetic algorithm. According to the invention, an effect of on-line operation resistor evolution of the switch in the three-second transformer substation can be realized effectively; a fault switch in the transformer substation can be found timely; and the result has the obvious parameter identification effect.

The embodiment of the invention provides a rotary mechanical equipment state monitoring method and equipment. The method comprises: performing polling on the basis of a task queue array with multiplepriorities, obtaining a current task, and the current task being a data collection task for rotary mechanical equipment state monitoring; performing data collection on target equipment corresponding to the data collection task to obtain to-be-analyzed data; and according to the to-be-analyzed data, performing starting and stopping analysis and judgment and abnormal detection judgment on the rotarymechanical equipment of the target equipment, so that state monitoring of the target equipment is realized. According to the embodiment of the invention, the polling processing is carried out according to the priority of the distributed task, and the equipment data is collected and analyzed according to the polled task, so that the state monitoring of the equipment is realized. According to the embodiment of the invention, the embedded system architecture can achieve the purpose of processing tasks in real time under the condition that a real-time operation system is not used, and the systemis reliable and stable in operation.

The invention discloses a condition monitoring method and device for a wind turbine system. The method comprises the steps of obtaining a first voltage value of a direct current bus side of the wind turbine system at the start moment of the preset time period and a second voltage value of the direct current bus side of the wind turbine system at the finish moment of the preset time period; obtaining the voltage change ratio within the preset time period according to the first voltage value and the second voltage value after judging that the first voltage value and the second voltage value are within a range allowed by a grid side converter of the wind turbine system; judging the power supply and demand balance relationship of the wind turbine system according to the voltage change ratio so as to realize condition monitoring for the wind turbine system. The method further comprises a method for calculating the power of the wind turbine system. The condition monitoring method and device for the wind turbine system can provide valuable reference for control and scheduling of the wind turbine system.

The invention discloses a remote control area network (CAN) bus communication system and an implementation method thereof. The system comprises a centralizing unit mounted in a substation or a ring main unit and a plurality of collecting units which are respectively mounted on a cable tunnel wall, wherein the centralizing unit is respectively connected with each collecting unit through the CAN bus. The state in the cable tunnel can be monitored just by laying one CAN bus. Besides, the problem of terminal resistance matching of the collecting units of the remote CAN bus communication is solved, and the problem that the communication baud rate among the units is inconsistent is solved. The system and method have the characteristics of flexibility and convenience in case of long communication distance.

The embodiment of the invention provides a rotating equipment state monitoring method and device. The method comprises the following steps: acquiring equipment information of monitored rotating equipment; collecting the current acceleration vibration information of the monitored rotating equipment; inputting the acceleration vibration information into a preset target algorithm model, and outputting the current running state of the monitored rotating equipment, wherein the target algorithm model is selected from a preset algorithm model library, and is the algorithm model corresponding to the equipment information. Through the rotating equipment state monitoring method and device provided by the embodiment of the invention, the acceleration vibration information collected by a MEMS vibration sensor can be processed in real time by adopting an artificial intelligent processor, thereby obtaining the current running state of the monitored rotating equipment, the real-time monitoring of therotating equipment can be realized, the result inaccuracy caused by artificial analysis is eliminated, and the possible risk is avoided.

The invention relates to a fault diagnosis and prediction system for nuclear power gear box vibration and oil online monitoring. The system comprises an oil automatic circulation module, a data acquisition module, a data storage module, a data transmission module and an online monitoring module. The oil liquid automatic circulation module is connected with the oil liquid data acquisition module; the oil data acquisition module and the vibration data acquisition module are connected with the data storage module; and the data transmission module is respectively connected with the data storage module and the data processing module. According to the invention, real-time and continuous monitoring of the working state of the nuclear power gear box can be realized, and the monitoring and analysis result is synchronous with the operation state of the nuclear power gear box; according to the invention, not only can the vibration state of the nuclear power gear box be detected, but also the physical and chemical characteristic information of the lubricating oil in use and the carried wear characteristic information can be detected; according to the invention, fault early warning can be carried out on the operation state of the nuclear power gearbox, the fault part and the fault reason are determined, the wear development trend is predicted, and possible faults are predicted in advance.

The invention relates to a smart power plant smart management and control system, which comprises a first safety area, a second safety area and a third safety area, and is characterized in that the second safety area is provided with a data transfer server, the third safety area is provided with a smart management and control platform server, and the smart management and control platform server carries a smart management and control platform; the first security area communicates with a data transfer server of the second security area through a switch, an interface machine and a one-way isolation gateway, and transmits data to the data transfer server; the data relay server of the second safety zone communicates with the intelligent management and control platform server of the third safetyzone through a one-way isolation gateway, and transmits data to the intelligent management and control platform server; the intelligent management and control platform server is connected with a power plant MIS network through a protection wall. And the intelligent management and control platform is used for collecting intelligent equipment, DCS and SIS data, and carrying out state monitoring, operation optimization, equipment diagnosis and supervision management of the power plant. According to the system, state monitoring, operation optimization, equipment diagnosis and supervision management of the power plant are realized.

The invention relates to an intelligent safety helmet. The intelligent safety helmet comprises a safety helmet body, wherein the safety helmet body comprises a safety helmet shell and a safety helmetlining, a microcontroller, a positioning device, a voice interaction device, an AR display device, a wireless transmission device and a power supply module are arranged on the safety helmet shell; thepositioning device, the voice interaction device, the AR display device, the wireless transmission device and the power supply module are respectively connected with the microcontroller; a micro vibration device is arranged on the safety helmet lining and is connected with the microcontroller, the microcontroller is connected with a data analysis management server through a wireless transmissiondevice, and the data analysis management server is connected with a data storage server provided with a BIM model. Compared with the prior art, the intelligent safety helmet disclosed by the inventioncan realize the functions of path planning navigation, danger area early warning and the like of worker operation; and the AR operation guidance is realized through the AR display device; the information transmission efficiency and the operation quality are improved, and the historical data can be sufficiently utilized in the operation and maintenance process, thereby improving the level of overall engineering management.

The embodiment of the invention provides a state monitoring method and system, and the method comprises the steps that a probe management server is bound with a first virtual articulated naturality web terminal, so as to achieve the network access in an articulated naturality web, and transmit a heartbeat transparent transmission package to an articulated naturality web probe client according to apreset heartbeat period; the articulated naturality web probe client is bound with a second virtual articulated naturality web terminal so as to access a network in the articulated naturality web andsend a heartbeat response transparent transmission packet to the probe management server after receiving the heartbeat transparent transmission packet; and after the probe management server receivesthe heartbeat response transparent transmission packet, the articulated naturality web probe client is marked as an online state, and if the heartbeat response transparent transmission packet is notreceived within a preset timeout period, the articulated naturality web probe client is marked as an offline state. Through the embodiment of the invention, the state monitoring of the service serverin the articulated naturality web is realized, and the timeliness of the state monitoring is ensured.