43results about How to "Achieving state-of-the-art maintenance" patented technology

The invention relates to an intelligent substation inspection system which comprises a data acquisition subsystem, a data communication subsystem, a server subsystem and a client subsystem, wherein the data acquisition subsystem is connected with the server subsystem through the data communication subsystem; the server subsystem is connected with the client subsystem; the data acquisition subsystem acquires the image and state information of the substation equipment and uploads the information to the server subsystem through the data communication subsystem; the server subsystem stores and displays the received data and remotely controls the data acquisition subsystem; and the client subsystem acquires the historical information of unmanned substation equipment from the server subsystem at any time and is used for remotely and intelligently inspecting the historical information. Compared with the prior art, the system has the advantages that the operating state information and the video image information of the equipment are integrated, and the visual and intelligent inspection of the substation is realized.

The invention provides a wind turbine generator health management method based on machine learning algorithm platform. The health management method includes: theoretical power generation balance analysis, performance grade evaluation, fault diagnosis model and health management model design, health evaluation and health analysis, health management is the realization of condition-based maintenance.According to the deep application of the theoretical electric quantity balance analysis method, Combining Big Data Technology, through the combination of machine learning and artificial intelligence,to realize the prediction and evaluation of the health status of the fan and its accessories and main equipment, finally, the maintenance mode of wind turbine generator system is transited from planned maintenance and fixed maintenance to condition-based maintenance, so as to reduce the power loss of planned maintenance, unplanned maintenance and performance loss of wind turbine generator system,so as to achieve the goal of increasing the power generation of wind farm station and improving the economic benefit of wind farm station.

The invention belongs to the technical field of state monitoring of hydraulic turbine generator units, and discloses a real-time operation state health evaluation and full life cycle management and prediction system for a hydraulic turbine runner. Real-time evaluation is conducted on the operation health state of the runner according to integrated information such as the inherent characteristic ofthe runner of a power plant set, manufacturing information of the runner, set mounting information, set real-time operation data, the set overflowing water quality and the content of muddy sand, information such as operation state information of the runner, the operation health degree of the runner, a real-time gap value of a leakproof ring of the runner, the deterioration degree and the fatiguelife of the runner, the predictive overhauling cycle of the runner, an operation evaluation report of the runner and set operation and maintenance optimization suggestions are digitally displayed on adisplay station in real time, and quantitative scientific decision support is provided for safe, stable and economic operation, reasonable overhauling and fault diagnosis of a hydroelectric generating set.

The invention discloses an estimator for monitoring an online state of a power cable by an ultraviolet method. The estimator consists of a partial discharge ultraviolet detection unit, an insulating medium parameter measurement unit, a temperature detection unit, a central control processing unit, a GSM data communication unit and a power management circuit, wherein output ends of the partial discharge ultraviolet detection unit, the insulating medium parameter measurement unit and the temperature detection unit are connected with an input end of the central control processing unit respectively; the output end of the central control processing unit is connected with the input end of the GSM data communication unit through a CAN bus; and the output end of the power management circuit is connected with power ends of the partial discharge ultraviolet detection unit, the insulating medium parameter measurement unit, the temperature detection unit, the central control processing unit and the GSM data communication unit respectively. The estimator is used for the online detection of parameters such as temperature, partial discharge, medium characteristic variation, environment condition and the like of a buried cable, and has the advantages of reliable and flexible detection effect and low detection cost.

An intelligent alternative-direct-current integrated power supply system comprises a two-power-supply automatic switching device, an inversion module and a main monitor, which form an alternative-current/direct-current uninterrupted power supply system containing a uniform monitoring management function. By adopting a layered distributive architecture, the dispersed measure and control and centralized management can be realized. A communication storage battery group and a charging device are canceled, a direct-current/direct-current (DC/DC) conversion module is directly hung on a charging bus; an uninterrupted power supply (UPS) storage device is canceled, the inversion module is directly hung on the charging bus, and the inversion power supply is adopted for powering important loads such as a computer and accidental illumination; and the secondary power distribution management, the station power supply device intelligent management and state examination are uniformly carried out. The alternating current and direct current, the inversion and the communication power supply system of an entire transformer substation power supply can be uniformly monitored on one platform, the human resource can be uniformly dispatched, and the integral management level of the station power supply can be improved.

The invention relates to an 800kV intelligent circuit breaker, which comprises a circuit breaker body, a protection measurement and control system and a state monitoring system, wherein the state monitoring system comprises a local control panel which is separated from the circuit breaker body and locally arranged; a state monitoring main light emitting diode (LED) is arranged in the local control panel; state monitoring sub-LEDs of corresponding phases are arranged in each phase of mechanism box; each state monitoring sub-LED is in communication connection with the state monitoring main LED; and the state monitoring main LED is connected with a state monitoring background system in a master control room through an optical fiber. The intelligent circuit breaker can comprehensively monitor equipment state, the phenomenon that the conventional equipment is required to be maintained at fixed time regardless of failures is avoided, a maintenance scheme can be reasonably determined according to an evaluation result which is obtained by system acquisition information, and state maintenance is realized. The adopted system scheme is simple in structure and general, and can be widely applied to intelligent switch equipment of other voltage classes.

The invention relates to a method and device for online detection of the state of a leakage conductor with a series gap. The method and device are applied to an electric transmission line of an electric system. A conductor action power frequency current collector is connected with a data processor. A counting indicator is respectively connected with the conductor action power frequency current collector and the data processor. The data processor is connected with a failure alarm indicator. The detected action current and continuous actuation time of the leakage conductor with the series gap are adopted to serve as criteria, alarm threshold values are set for the action current and the voltage value of the continuous actuation time, and when the alarm threshold values are reached or exceeded, an alarm is given for state abnormality of the leakage conductor with the series gap, so that the state of the leakage conductor with the series gap is monitored. A passive monitoring method is adopted in the device, the device is simple in structure, state information of the leakage conductor is provided for operation and maintenance personnel in time, and the operation reliability of the leakage conductor with the series gap is improved.

The invention discloses a large machine room database inspection device. The large machine room database inspection device comprises a movable guide rail, the section of the movable guide rail is I-shaped, the movable guide rail is fixedly installed at the top of a machine room, an inspection robot is fixedly installed on the movable guide rail, the inspection robot comprises an installation framewhich comprises two-layers installation platforms, a guide mechanism, a driving mechanism and a braking mechanism are sequentially fixedly installed on an installing rack upper-layer installing platform along the moving guide rail, a lifting mechanism and a power supply are fixedly installed on an installing rack lower-layer installing platform, an inspection mechanism is fixedly installed at thebottom of the lifting mechanism, and a control box is fixedly installed on the installing rack upper-layer installing platform. According to the large machine room database inspection device, the inspection robot is remotely controlled to move along the moving guide rail to inspect the machine room equipment, the RFID label information of the machine room equipment is read through a RFID reader,then data is transmitted to the database to be stored, the equipment of the machine room can be inspected conveniently and efficiently, the inspection workload of inspection personnel can be greatly reduced, and therefore, the human input is effectively saved.

A tank circuit breaker local discharge detection method relates to the power transmission equipment detection method, which adopts an ultra-high frequency detection method. The tank circuit breaker local discharge detection method is characterized in that a filter circuit limits the signals of a sensor at 0.3 to 3GHz, to avoid the interference of other electric signals, and since the signals are at the nanometer second level, three A/D acquisition modules are adopts to realize sequential delay sample, to realize the sampling frequency of 1.05GHz, and the local discharge level is analyzed by the intensity of received signals. The tank circuit breaker local discharge detection method can quickly and accurately find fault points and reduce the detection range of the fault points, to reduce cost, save manpower, save material power, quickly eliminate fault points, recover power supply and improve the reliability of power supply.

The invention discloses an oil chromatogram online monitoring data change trend detection method based on wavelet maxima. The basis is provided for timely monitoring of the abnormal change of the oilchromatogram by the popularization of a large number of oil chromatogram online monitoring devices. The abnormal change of the oil chromatogram data is classified as the fast gradient type and the jump type according to online monitoring data analysis. Firstly a function model is established for the oil chromatogram online monitoring data based on the time sequence and the fitting residual is calculated; then wavelet analysis of the fitting residual is performed so that the abnormal data of the oil chromatogram data can be identified; and finally wavelet decomposition is performed on the fitting residual under two different wavelet scales by using the relationship between the wavelet transform modulus maxima and the Lipschitz exponent so as to identify the abnormal gradient and jump type of the oil chromatogram online monitoring data. The practice proves that the abnormal change trend of the oil chromatogram online monitoring data can be detected, the latent fault can be discovered intime and the operation reliability of the transformer can be enhanced by the oil chromatogram abnormal data detection method.

The invention discloses a fuse on-line monitoring system. The fuse on-line monitoring system comprises a fuse, a monitoring terminal, a communication terminal and a system main station, wherein the monitoring terminal is arranged in a monitoring box in which a bird repelling device is further arranged, the bird repelling device is arranged on the periphery of the monitoring terminal and comprises a spiral structure formed by winding a corrugated plate and bird repellent arranged on the corrugated plate in a coating mode, and a ventilation opening is formed in the monitoring box and corresponds to the spiral structure in position. Running data and the work state of the fuse can be collected in real time, the performance and the quality of the fuse can be conveniently judged, the opening and closing state of the fuse and the power failure and power-on state of loads on the fuse can be known in time, condition-based maintenance can be achieved according to running parameters of a circuit where the fuse is located and running parameters of the loads on the fuse, the bird repellent can be supported due to the arrangement of the corrugated plate and the spiral structure, the coating amount and the diffusing area of the bird repellent are also increased, the diffusing concentration of the bird repellent is guaranteed, a good bird repelling effect is achieved, and installation cost is saved.

The invention discloses an intelligent overhead power transmission line capable of implementing broken wire monitoring. The intelligent overhead power transmission line comprises an aluminium-clad steel stranded wire and a broken wire monitoring sensor arranged at a position on the aluminium-clad steel stranded wire; the broken wire monitoring sensor comprises an epoxy resin coating on the surfaceof the aluminium-clad steel stranded wire, an excitation coil, a bias magnetic field excitation coil and a coil protection shell; the epoxy resin coating is sprayed on the outer surface of the aluminium-clad steel stranded wire; the epoxy resin coating is sequentially wound outwards with the excitation coil and the bias magnetic field excitation coil; the part outside the aluminium-clad steel stranded wire around is coated by the coil protection shell; and the output ends of the excitation coil and the bias magnetic field excitation coil are connected to the same sensor cable interface afterprotruding out of the coil protection shell. According to the invention, excitation and receiving of a guided-wave signal in a measured structure can be implemented, electron-phonon coupling efficiency is high, conversion efficiency of energy is greatly improved, and a detection range of an ultrasonic guided wave is enlarged.

The invention discloses a high-voltage electric power test vehicle networking platform. The High-voltage electric power test vehicle networking platform comprises a driving system state monitoring module, a loading system state monitoring module, a high-voltage test equipment state monitoring module, a high-voltage test service management module, a customer resource management module, an equipmentowner management module, a 4G/5G Internet of Things communication module, an Internet of Vehicles background software system, vehicle-mounted terminal equipment, a mobile terminal APP module and a WeChat official account module. According to the invention, real-time intelligent control, data collection and analysis are realized, actual requirements are met, high-efficiency, intelligent and low-cost voltage withstanding test inspection work is realized, the high-voltage power test vehicle is automatically and intelligently controlled through a test operation mode, and the safety and humanization of a test platform are greatly improved.

The invention relates to the technical field of wind power, and discloses a wind turbine generator set water-cooling system temperature abnormity early warning, which comprises the following steps: collecting monitoring data of a wind turbine generator set converter water-cooling system, selecting characteristic parameters related to the temperature of the converter water-cooling system, cleaning abnormal values such as null values and zero values in the monitoring data, and carrying out early warning on the abnormal temperature of the converter water-cooling system. Linear interpolation is adopted for filling, and different characteristic parameters are analyzed; all wind driven generators in the same wind power plant are divided into a plurality of wind driven generator sub-clusters according to geographic positions and altitude distribution, and for each wind driven generator sub-cluster, characteristic parameters of a wind turbine generator converter water cooling system running in the sub-cluster are analyzed. The wind turbine generator water cooling system temperature abnormity early warning is beneficial for operation and maintenance personnel to reasonably adjust operation and arrange a maintenance plan, effectively reduces electric quantity loss caused by fault shutdown, and maintains stable operation of a power grid.

The invention provides a method and a device for intelligently adjusting and predicting unbalanced load of a power distribution network, the method is applied to monitoring equipment of a cloud monitoring layer, and the method comprises the following steps: step 1, receiving operation state data of dynamic compensation equipment, intelligent commutation equipment and an intelligent instrument in a low-voltage power distribution network; the operation state data is sent through a network layer protocol; 2, calculating the unbalance degree of three-phase power utilization in the low-voltage power distribution network; 3, adjusting a three-phase load according to the unbalance degree, and improving the electric energy quality of three-phase output; or extracting historical data of the operation state of the low-voltage power distribution network, and performing clustering analysis on the operation state data to form different classifications; and the load of the low-voltage distribution network can be predicted based on the operation state data and the different classifications.

The invention discloses an RFID-based electric detection system, which comprises a data acquisition system, a data transmission system and an intelligent terminal, wherein the data acquisition system is used for acquiring label information and environment information of RFID, and the data transmission system is connected with the data acquisition system and is used for transmitting acquired data, the intelligent terminal is connected with the data transmission system, acquires data of the data acquisition system and processes the acquired data. Through detection of various environmental information and ground wire electric leakage information, state maintenance can be realized timely and dynamically, safety management can be performed on a construction site effectively, and the system is intelligent, convenient and rapid, reduces the labor intensity of detection personnel, and improves the safety.