999results about How to "Reduce troubleshooting time" patented technology

The invention relates to a power distribution network single-phase disconnection judging and addressing method based on a load measuring and recording system. The method comprises the following steps of: I, mounting a load measuring and recording system on a power distribution network feeder line, and acquiring the values of three-phase voltage, current and 3V0 of a pole-mounted transformer from the load measuring and recording system mounted on the power distribution network feeder line at regular time; II, comparing the voltage and current values acquired from the load measuring and recording system mounted on the power distribution network feeder line with the voltage and current values of a power distribution network single-phase disconnection fault database to judge the disconnection fault type; and III, in combination with the single-phase disconnection fault type judged in the step II, performing single-phase disconnection fault addressing by a forward sweeping method or backward sweeping method based on the load measuring and recording system, and performing fault treatment. Compared with the prior art, the method provided by the invention has the advantages that: the correct judgment of the power distribution network single-phase disconnection fault phase and the effective addressing of the fault position can be performed based on the measured data of the load measuring and recording system in combination with the power distribution network single-phase disconnection fault database and the like.

The invention relates to a method for locating a single-phase disconnection non-ground fault of a power distribution network. After the single-phase disconnection non-ground fault occurs, the positive sequence voltage of the high-voltage side of each distribution transformer after a fault point is far lower than the positive sequence voltage of the high-voltage side of each distribution transformer before the fault point and the positive sequence voltage of the high-voltage side of each distribution transformer of a non-faulty line, and the positive sequence voltage of the low-voltage side of each distribution transformer after the fault point also correspondingly becomes about 50 percent of the positive sequence voltage before the fault point. For three-phase voltage information acquired by different types of measuring devices installed at load points, the positive-sequence component of the voltage of each load point is calculated in real time; and if the positive sequence voltage of a certain load point and the positive sequence voltages of all downstream load points of the load point are obviously reduced at one point, and the positive sequence voltages of upstream load points of the load point are constant, the single-phase disconnection non-ground fault can be determined in an upstream adjacent line connected with the load point. According to the method for locating the single-phase disconnection non-ground fault of the power distribution network disclosed by the invention, new equipment does not need to be equipped; the calculation is simple; and the fault can be located between two load points to realize the diagnosis and the location of the single-phase disconnection non-ground fault.

The invention discloses a method, equipment and a system for diagnosing a failure of a passive optical network (PON). The method comprises the steps of: pre-obtaining identification information of each ONU (Optical Network Unit) in the PON, optical fiber link physical distance and the corresponding peak information of the ONU when the PON is normal; establishing a correspondence table of the identification information and the corresponding peak information of each ONU according to the obtained identification information and the physical distance parameter information of each ONU and the optical fiber link physical distance and the corresponding peak information of the ONU; obtaining corresponding peak information of optical fiber links of all current ONUs in the PON according to the preset failure diagnosis measure; matching the corresponding peak information of the current optical fiber link with the pre-stored leak information, and if corresponding peak position and/or amplitude changes, obtaining the identification information of the ONU corresponding to the changed peak according to the correspondence table; and if not, executing the equipment failure diagnosis. By applying the invention, the failure position can be immediately found and positioned, the failure maintenance time is shortened and the failure detection efficiency is improved.

The invention discloses an electric transmission and transformation equipment state monitoring defect management system and method based on regulation and control integration. The method is characterized in that an electric power regulation and control center is used to monitor the operation of newly added power transmission equipment in a centralized manner, monitor the electric transmission and transformation equipment state online and build an analyzing service so as to perform statistical analysis, processing and monitoring, and closed-loop tracking on equipment defect conditions, summarize defect variation trends and occurrence regularity, and promote comprehensive extension, from scheduling operation to equipment operation, of power grid safety control. Resources of an operation on-duty system, a production management system and other equipment management systems are integrated to build a complete and good working interface, electric transmission and transformation equipment monitoring defect multidimensional information is input, and by the aid of management modules of traverse connection, inner control monitoring and closed-loop tracking, the real-time operation states of the electric transmission and transformation equipment can be controlled, inquiring and statistical counting of various key information can be achieved, screening and tracking of family defects are achieved, and equipment health states can be monitored and analyzed.

The invention relates to a stacked SAE (Sparse Autoencoder) deep neural network-based bearing fault diagnosis method. The first layer of a network is applied to the qualitative judgment of a bearing fault, that is, the first layer of the network is applied to the fault type judgment of the bearing fault; and the second layer of the network is applied to the quantitative judgment of the bearing fault, that is, the second layer of the network is applied to the severity judgment of the bearing fault. According to the method of the invention, empirical mode decomposition (EMD) and an autoregressive (AR) model are combined together to perform pre-processing on original bearing signals, the parameters of the AR model are extracted and are adopted as the input of the network, and therefore, the input dimensions of the network can be greatly reduced, the simplification of calculation can be facilitated, and the training and testing of the network can be accelerated; a deep neural network on which the method of the invention is based can further automatically extract features of the input and qualitatively and quantitatively determine the bearing fault automatically, and therefore, the diagnostic accuracy of the method of the present invention can be ensured, and at the same time, dependence on signal processing expertise can be decreased, manual judgment is not required, the consumption of manpower can be decreased; and thus, the method has a higher practical value in the era of big data.

The invention provides a method for remotely monitoring and predicting the fault of a forklift loader. A pressure sensor, a temperature sensor, a vibration sensor, and a current/voltage sensor are installed on corresponding components of the forklift loader. A vehicular smart terminal acquires the status data of the corresponding sensors of the components and is proactively connected with a data center server. The data center server performs data interaction and instruction communication with the vehicular smart terminal via the Internet and stores acquired data in a corresponding data table. A data center monitor program periodically scans and compares historical data samples in a database, checks whether a fault exists in combination with an equipment maintenance log and component fatigue information, predicts components possibly generating faults, communicates with a user if finding out a abnormal condition, guides a forklift loader driver to troubleshooting the faults, prepares spare components and makes maintenance preparation, shortens detection, component preparation, transport, and maintenance time consumed between a shutdown caused by the faults and a restart as much as possible, and decreases losses caused by the faults.

The invention relates to a network message monitoring and fault recording integrated device for an intelligent transformer substation. The device comprises a signal access unit, a signal processing and analyzing unit and an information output unit, wherein the signal access unit is used for receiving comprehensive signals, which contain a primary system signal and a secondary system signal of the intelligent transformer substation and transmitting the comprehensive signals to the signal processing and analyzing unit; the signal processing and analyzing unit is used for analyzing the comprehensive signals of the intelligent transformer substation; and the information output unit is used for outputting the alarm signal-containing comprehensive signal analyzing result after the analysis of the comprehensive signals. The device comprehensively analyzes the comprehensive signals, which contain the primary system signal and the secondary system signal, brings great convenience to operation, maintenance, modulation and breakdown maintenance, shortens the troubleshooting time, improves the power supply quality of the intelligent transformer substation, saves the space occupied by the traditional equipment and saves investment.

The invention belongs to the technical field of engine electronic control, in particular to a magnetoelectric sensor adjusting circuit which comprises a signal adjusting circuit and a failure diagnostic circuit which both use the output of the magnetoelectric sensor as the input; the magnetoelectric sensor outputs signals, the signals to enter into a comparer 1 through filter current and the comparer outputs square signals through comparison; and the square signals are delayed and compared by a trigger and then are carried out the rotation calculation by a microprocessor. The magnetoelectric sensor adjusting circuit can judge whether the inner resistance of the sensor is within the reasonable range on the basis of the completion of open circuit and short circuit, detect the fault of the sensor in advance, effectively reduce the fault detection time, save the maintenance cost and effectively process the positive harmonic signals output by the sensor when the amplitude of the output signals of the sensor is 2V to 100V and the frequency is within the wide range of 50 Hz to 5 KHz.

The invention provides a wireless network cloud platform system based on lighting nodes. The wireless network cloud platform system comprises a wireless gateway, at least one wireless lighting driver, at least one wireless lighting controller, at least one positioned terminal and a cloud server client side. A cloud server is connected with a wireless gateway, issues configuration information to the at least one wireless lighting driver and the at least one wireless lighting controller for configuration, controls the at least one wireless lighting driver and judges whether faults exist in a lighting line or not according to a current and energy consumption of the lighting line. Position monitoring is carried out on the positioned terminal according to the positioning information of the positioned terminal, the environment in a preset area is monitored according to environment parameters, and monitoring data are displayed to a user. According to the embodiment, wired lighting control is replaced with the wireless lighting, and labor cost and material cost can be saved. In addition, lighting energy consumption is monitored in real time, dimming is carried out according to current illuminance, and therefore electric energy consumption can be saved.

The invention relates to an inverter fault diagnosis method based on wavelet analysis and SVM. The method comprises firstly establishing a diode NPC three-level inverter model and determining a principle of classification, respectively subtracting three phase voltages of an AC output side when an inverter breaks down from three phase voltages (Ua, Ub and Uc) of the AC output side when the inverter normally works to obtain [delta]Ua, [delta] Ub and [delta]Uc, carrying out d-q inversion on the [delta]Ua, the [delta] Ub and the [delta]Uc, changing three phases into two phases to obtain Ud and Uq, and analyzing the Ud and the Uq through wavelet transformation; secondly respectively extracting energy from each frequency band signal of the Ud and the Uq subjected through the wavelet transmission, determining a fault feature vector, and establishing a data sample based on the fault feature vector; and finally establishing a multi-valued classifier using the MATLAB and a LIBSVM tool box, so as to carry out fault diagnosis on a cross double-phase bridge of the diode NPC three-level inverter.

An intelligent and optimized distribution transformer outage research and judgment system includes an intelligent distribution transformer shutdown system, a production management system, a distribution automation system, an intelligent dispatching management system, an energy management system, a power consumption information acquisition system, and a low-voltage switch state monitoring system. Effective information of multi-source data is acquired from the energy management system, the intelligent dispatching management system, the production management system, a power dispatching assistant decision system and the power consumption information acquisition system. Abnormal outage events are screened and discriminated using the big data technology. Outage events are classified through a distribution transformer outage type mathematical model. Corresponding outage work orders and repair strategies are pushed for different types of distribution transformer shutdown events. Thus, the outage time is reduced, and users are more satisfied with electricity.

The invention provides network fault diagnosis methods and systems. A gradient boosting decision tree classifier prediction model is trained through adoption of a symptom data set and a fault data setin network history data. Network fault diagnosis is carried out through utilization of the trained gradient boosting decision tree classifier prediction model. Network fault diagnosis precision can be effectively improved. Network fault diagnosis time can be effectively reduced. The method and the system are applicable to diversified production scenes.

The invention relates to an identification method of ground fault phases in a three-phase ungrounded system and an identification device thereof. The identification method comprises the following steps: firstly selecting any line voltage in the three-phase ungrounded system as reference voltage, determining value domains of phase difference between theoretical zero-sequence voltage of the fault phases and the reference voltage when a ground fault occurs on each phase aiming at the reference voltage, and carrying out real-time online acquisition of the actually measured zero-sequence voltage; if the actually measured zero-sequence voltage is zero, judging no ground fault occurs; and if the actually measured zero-sequence voltage is not zero, calculating the phase difference between the actually measured zero-sequence voltage and the reference voltage, and judging which value domain the phase difference falls into so as to judge that the ground fault occurs on the phase corresponding to the value domain. The identification method can rapidly judge the ground fault occurs on A phase or B phase or C phase in the three-phase ungrounded system and directly point out the ground fault phases while finding out the fault, thus reducing troubleshooting time, being beneficial to eliminate faults timely, and guaranteeing safe operation of the system.

A rules system for creating rules to an expert system is provided, the rules system providing a user-friendly, guided process for creating such rules.

The invention discloses a log management method applied to a log management system. The log management system comprises a log server and a business server. The log management method comprises: receiving, by the log server, a log storage request sent by the log server, with the log storage request comprising a business name; determining business type of the log storage request according to the business name, and distributing the log storage request to a corresponding log storage queue according to the business type; calling the log storage request from a log storage queue, and writing log information, in the log storage request, into a corresponding preset log file. The invention also discloses a log management system and a computer-readable storage medium. The log management method and system and the computer-readable storage medium enable logs in a distributed business server to be uniformly collected and organized, facilitating search.

The invention provides a method, a server based on zabbix monitoring alarm, equipment and a storage medium. The method comprises the steps of deploying zabbix agents on all monitoring nodes of a distributed system, starting all zabbix servers, and establishing communication connection between the zabbix servers and the zabbix agents deployed on all the monitoring nodes; acquiring the load information and the operation state of each monitoring node from each monitoring node through the zabbix agent; generating a visual graph from the load information and the operation state of each monitoring node, and generating alarm information when determining that the current load information and the operation state of the target monitoring node meet the alarm rule according to the visual graph and a predefined alarm rule; and determining an alarm level of the alarm information, determining a target notification channel corresponding to the alarm level, and sending the alarm information to the target notification channel. By adopting the scheme, the working efficiency and the real-time performance of monitoring can be improved.

The invention discloses a method and a device for indicating the short circuit of lines and earth fault of distribution network. The method provided by the invention is the method which adopts the instantaneous variation of current and voltage to start circuits. The device provided by the invention is the device which adopts the instantaneous variation of current and voltage to start circuits. The method and the device provided by the invention have the advantages that the technical proposal that the instantaneous variation of current and voltage is used to start circuit can improve the rate of the correct action of the device and shorten the failure searching time, thereby improving the reliability of the power supply of the distribution network system. The invention provides the method for directly measuring the overhead line to earth voltage, so that the earth fault of lines can be distinguished more directly and reliably.

The invention relates to the technical field of data analysis, in particular to a method and a device for processing alarm events. In order to determine an alarm event causing a root-cause failure timely and precisely among massive alarm events, the method is implemented in the steps of: combining alarm events generated in a current cycle and non-failed alarm events generated in a historical cycle; determining a subject-event topological relationship base on subjects corresponding to the alarm events respectively and a reference topological relationship between the preset subjects; dividing the subject-event topological relationship into a plurality of connected subgraphs; and screening the alarm event meeting a preset condition as the target alarm event from the acquired connected subgraphs. Therefore, the method and the device can fully consider the subjects having an association relationship and the alarm events generated by triggering of failures having an association relationshipcaused by asynchronization, can directly determine the root-cause failure of each alarm event caused by asynchronous triggering, shorten the troubleshooting time, and improve the efficiency of failureelimination.

The invention provides a power transmission line online fault monitoring method and system. The method comprises the following steps: integrating operation parameters and environmental parameters of the power transmission line under different faults to form a fault historical database, and constructing a neural network identification model of the power transmission line under different faults according to the fault historical database; collecting operating parameters and environmental parameters of the power transmission line, inputting the operating parameters and the environmental parametersinto the neural network identification model, and analyzing faults of the power transmission line; judging the fault occurrence reason according to the fault analysis result, and carrying out image acquisition on the possible fault points of the power transmission line; and performing feature extraction and analysis on the acquired images, and obtaining fault occurrence points according to analysis results. According to the power transmission line online fault monitoring method and the system thereof, the fault point can be judged at the first time, the fault searching time is shortened, thefault is eliminated as early as possible, the power transmission is recovered, and the power supply reliability is improved.

The invention discloses a longitudinal virtualization device between video surveillance devices. The longitudinal virtualization device between the video surveillance devices is applicable to a video management server in a video surveillance system. The longitudinal virtualization device between the video surveillance devices comprises a register management module, a storage management module and a flow balancing module. The register management module achieves redundancy management on register of front-end equipment between currently managed NVRs; the storage management module achieves redundancy management on storage of the front-end equipment between the currently managed NVRs; the flow balancing module achieves balancing management on the distributive flow between the currently managed NVRs. The longitudinal virtualization device between the video surveillance devices is applied to the NVRs and the front-end equipment. The hot backup of the NVRs in the video surveillance system can be achieved without additional equipment, and stability of the system is increased.

The invention discloses a simple calibration method of a laser centering instrument, which comprises simple calibration for a horizontal mechanical displacement centering indication value and a vertical mechanical displacement centering indication value of the laser centering instrument. The simple calibration for the horizontal mechanical displacement centering indication value comprises the steps of installation of the laser centering instrument, zero position adjustment, 3-o' clock direction detection and 9-o' clock direction detection. The simple calibration for the vertical mechanical displacement centering indication value comprises the steps of installation of the laser centering instrument, zero position adjustment and detection for the actual displacement amount of vertical mechanical displacement. According to the simple calibration method disclosed by the invention, a simple standard device is combined by using a high-precision measurement core shaft and a universal tool microscope so as to carry out centering calibration for the laser centering instrument in the horizontal and vertical directions, and being convenient in measurement and high in accuracy. In practical production, self calibration can be carried out immediately when an abnormal value occurs when the laser centering instrument is in use, and outgoing calibration is not required, thereby shortening the time of fault diagnosis, and improving usage efficiency of the laser centering instrument.