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

The invention discloses a substation equipment infrared intelligent monitoring system and a monitoring image feature extraction method. The system comprises a plurality of thermal infrared imagers, animage acquisition controller, a monitoring server and a client computer. The method comprises the following steps of (1) collecting substation equipment infrared images taken by the multiple thermalinfrared imagers and transmitting the images to the monitoring server, (2) based on the Retinex theory, carrying out image enhancement on the substation equipment infrared images, (3) using an improved histogram equalization algorithm to carry out image enhancement on the images, (4) using an improved region growing segmentation algorithm to carry out image segmentation on the images and using a morphological method to repair and improve the obtained images, and (5) carrying out feature extraction on the substation equipment infrared images. According to the system and the method, the defectsof blind enhancement and excessive enhancement of contrast and the like in the traditional histogram equalization technology are overcome, and a foundation is laid for accurately identifying equipmentin a substation complex background infrared image.

The invention discloses an intelligent fuse. A lower end three-phase line of the fuse is connected in, an intelligent control unit is arranged in the intelligent fuse, the lower end three-phase line of the fuse is connected in the intelligent control unit, the intelligent control unit comprises a fuse state detection unit, a fuse current detection unit used for detecting current in the fuse, and a central control unit, the detection result of the fuse state detection unit and the detection result of the fuse current detection unit are both sent to the central control unit connected with the fuse state detection unit and the fuse current detection unit, and the central control unit gives out an indication instruction according to the detection results. According to the intelligent fuse, the state of a fuse wire of a fuse body in the intelligent fuse can be monitored, an alarm is given when a state fault occurs, meanwhile, whether the actual fusing time of the fuse wire is judged according to current flowing in the fuse wire, and therefore an alarm is given in advance under the condition that the fuse wire may fuse, the intelligence of the fuse is improved, and the intelligent fuse can have higher using performance.

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 invention discloses a method for monitoring the states of the nodes of a wireless sensor network (WSN). A WSN is connected with a communication network by a WSN gateway. The invention is characterized in that the method comprises the following steps: monitoring the state of each WSN node in the WSN by the communication network and the WSN gateway and also obtaining a monitoring result. The invention simultaneously discloses a system for monitoring the states of the nodes of the WSN, which is applied to a network in which the WSN is connected with the communication network by the WSN gateway. The system comprises a monitoring unit and an obtaining unit; the monitoring unit is used for monitoring the state of each WSN node in the WSN by the communication network and the WSN gateway; and the obtaining unit is used for obtaining the monitoring result. According to the method and the system for monitoring the states of the nodes of the WSN, the better maintenance of the WSN nodes which are distributed in a comparatively wide way and also in a comparatively dispersive way is realized, and the maintenance cost is saved; and the method and the system for monitoring the states of the nodes of the WSN are convenient for a user to know about the state of each WSN node of the WSN in time.

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 discloses a maglev train levitation monitoring method and a maglev train levitation monitoring system based on industrial Ethernet communication. The steps of the method are as follows: each levitation control lower computer is connected with upper computers through the industrial Ethernet; by a multi-task mode, the levitation control lower computers acquire and output the levitation state data of levitation points to the upper computers and receive control commands coming from the upper computers, and at the same time, the levitation control lower computers control the levitation state of the levitation points according to the levitation state data of the levitation points and the control commands; the system comprises the upper computers and the levitation control lower computers, and each levitation control lower computer comprises a sensor group, a data acquisition board, a levitation controller, an actuating mechanism, an Ethernet controller and an Ethernet interface. The invention can display levitation data, acquire the working state of a levitation system in real time and ensure that engineers can efficiently monitor and maintain the levitation system in real time, and has the advantages of high operation speed, high system integration degree, complete functions and convenience and high efficiency in debugging.

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 discloses a tunnel protection door state monitoring system based on sound recognition, and belongs to the technical field of tunnel protection door monitoring. The tunnel protection doorstate monitoring system comprises an optical fiber probe, an output optical fiber, an optical fiber main line, a signal processing part and a voice judgment database which are arranged correspondingto a tunnel protection door; and through matching work of all parts, the vibration situation after arrangement of the tunnel protection door can be fed back in real time, and the real-time state of the tunnel protection door is judged, so that the tunnel protection door is monitored in real time. The tunnel protection door state monitoring system works based on collection and processing of sound signals, is simple in structure and easy and convenient to set, can effectively monitor the vibration state in various states of the tunnel protection door to achieve real-time monitoring during applying of the tunnel protection door, improves the monitoring continuity and accuracy of the tunnel protection door, provides possibilities early judgment and early maintenance for abnormal situations possibly occurring in the tunnel protection door, fully ensures operation safety of the tunnel, and has good application prospects and promotional value.

The invention discloses a radiator for directly cooling a chip through fluorine and a use method thereof. The radiator comprises a heat exchanger, wherein the bottom of the heat exchanger is contactedand connected with the chip, an exit pipe is arranged at the upper part of the heat exchanger, and a pressure sensor and a gas flow sensor are arranged on the exit pipe; a liquid inlet pipe is arranged at the bottom of the sidewall of the heat exchanger, and a liquid flow sensor is arranged on the liquid inlet pipe; multilayer of grating plates are arranged at the middle part of the heat exchanger; a gas collecting cavity is arranged above the grating plates, and a cooling liquid cavity is formed below the grating plates; the heat exchanger is connected with a condenser through the exit pipe,a liquid outlet of the condenser is connected with a liquid storage tank through a pipeline, and the liquid storage tank is connected with a regulating pump through the pipeline; and the liquid outlet of the regulating pump is connected with the heat exchanger through the liquid inlet pipe. The efficiency of the radiator is improved by using phase-change heat transfer of fluorinated liquid, the real-time state can be detected, the radiating efficiency can be regulated, and the leakage point can be accurately detected, and the stable operation of a radiating system is guaranteed.

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.

The invention discloses a monitoring method of wind electricity unit thunder stroke times. The monitoring method comprises the steps that (1) temperature change values and temperature raising time data of all anti-thunder modules in a wind electricity unit are collected, and the state data values of the environment where the anti-thunder modules are located are collected; (2), whether the anti-thunder modules are struck by thunder or not is analyzed and judged in combination with temperature data signals of all the anti-thunder modules and state data signals of the environment where the anti-thunder modules are located collected in step (1), and the accumulated thunder stroke times of all the anti-thunder modules are calculated. The invention furthermore discloses a monitoring device of the wind electricity unit thunder stroke times. The monitoring device comprises the anti-thunder modules, a data collection module and a data processing module. The thunder stroke times of the anti-thunder modules are monitored through monitoring of the temperature change of the anti-thunder modules; and targeted anti-thunder design can also be achieved according to the collected data signals, impact and influences of a draught fan on a control system due to thunder stroke are reduced, the thunder stroke risk of the draught fan is lowered to a certain extent, and operation safety and stability of the wind electricity unit are improved.

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 an intelligent replacement system and method for a puncher guide plate. The system comprises a guide plate detection module, a tubular billet detection module, a guide plate replacement robot, a guide plate storage rack and a robot walking track, wherein the guide plate detection module is used for collecting use state information of a guide plate on a puncher; the tubularbillet detection module is used for collecting surface quality information of a tubular billet at the outlet of the puncher; the guide plate storage rack is arranged on one side of the puncher, and used for holding a new guide plate; the robot walking track is arranged on the outer side of the puncher and the outer side of the guide plate storage rack; the guide plate replacement robot is arrangedon the robot walking track; and the guide plate replacement robot is in linkage control with a puncher automation system according to the use state information and the surface quality information toreplace the guide plate. According to the intelligent replacement system and method for the puncher guide plate, state monitoring of the puncher guide plate can be achieved, automatic replacement of the guide plate is achieved based on the monitoring result, the replacement efficiency can be improved, and potential safety hazards of manual replacement are eliminated.

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.