433results about How to "Find faults in time" patented technology

The invention discloses an overhead rail type firefighting inspection robot system. The overhead rail type firefighting inspection robot system comprises an overhead rail part, overhead rail type firefighting inspection robots, fire extinction equipment, a position identification block, a charging position, a remote control center and wireless signal transmission equipment. Each overhead rail type firefighting inspection robot comprises a traveling part, a lifting vision device, a position detection device, a detector, a fire extinction control device and a control and communication device. The robots move on a rail of the overhead rail part. The position detection devices conduct positioning by identifying the position identification block. The robots can be charged at the charging position. The fire extinction control devices operate the fire extinction equipment. The control and communication devices achieve communication of the robots and the remote control center through the wireless signal transmission equipment. The robots of the overhead rail type firefighting inspection robot system can conduct inspection detection along the rail, find out equipment failures and potential safety hazards and can conduct fire extinction operation in time.

The invention provides an online detection and calibration method for a Hall current sensor. In power system application, the Hall current sensor is often impacted by grid fault current or thunder strike to cause bias magnet and damage of the Hall current sensor. In the method, a calibration coil, and auxiliary elements which assist calibrating the Hall current sensor and calibrate a current generator and the like are arranged in the Hall current sensor so as to realize the online detection and calibration of the Hall current sensor. The online detection and calibration method for the Hall current sensor has the advantages that: on the one hand, the measurement accuracy of the Hall current sensor can be improved and a bias magnet error problem can be solved; and on the other hand, a fault sensor can be discovered timely.

The invention discloses a video surveillance network quality inspection method and a system and belongs to the technical field of network videos. The method comprises the following steps of monitoring work status of a device in a video surveillance network; monitoring and inspecting video image quality; performing statistics on detection results and alarming information of the video surveillance network device and the video image quality, displaying alarm information to users automatically, and providing service including browse, inquiry and the like. The invention further provides the system applying the method. The system manages and monitors large video networks in a concentrated mode, automatically analyzes and evaluates video quality of a front camera in the video surveillance network and operation status of the network device, timely finds out failure of the camera and the network device, and greatly improves safety and flexibility of the video surveillance network and accuracy and real-time performance of video and network failure detection.

The invention discloses a method for online detection and assessment of a photovoltaic system, comprising steps of starting up a voltage-current scanning function through an MPPT function in a photovoltaic system, enabling output voltage of a photovoltaic array which is received by the MPPT to be from minimum working voltage state to an open circuit state or from the open circuit state to the minimum working voltage state, detecting the current value and the voltage value of the MPPT of each path in the process, collecting physic quantities of the corresponding moment like the solar radiation, environment temperature, photovoltaic assembly temperature, wind speed, wind direction, etc, utilizing collected data to adopt a fitting method to establish a photovoltaic power calculation model, combining and utilizing leave factory parameters of the photovoltaic assembly or an initial photovoltaic power calculation model which is established by a PVsyst database, and calculating energy efficiency indexes of each link and obtaining an energy efficiency analysis result after the faulted time frame is eliminated. The invention realizes the online detection of various physic parameters of the photovoltaic system, the photovoltaic array modeling and calculation and analysis of the energy efficiency index of each link.

The invention discloses a 10 kV line loss and low voltage district line loss management analysis method, and belongs to the field of power supply. The method comprises the steps that a distribution network line loss standardization management mode and a line loss management system are built; all links of line loss work are arranged, the work focus of line loss management is grasped, a point-like line loss management mode is formed, and the integrated line loss management mode is guided through clear labor division and tacit cooperation, so that the line loss rate of power supply enterprises is gradually lowered, electric energy consumption in the power supply and distribution process is reduced, and the economical increase value of power supply enterprises is improved. By building the standard line loss management application system, an assistant decision support is provided for user fault repair and positioning, high-load distribution transformer transformation, district load distribution and the like, the phenomena such as equipment damage caused by late fault repair and long-time overload are effectively reduced, and the economic loss value of power supply enterprises is remarkably lowered. The 10 kV line loss and low voltage district line loss management analysis method can be widely used in the field of power supply management and energy conservation.

The invention is suitable for the technical field of track traffic and provides a monitoring method and terminal device of a track circuit device. The method includes the steps that operation data ofthe to-be-monitored track circuit device in each preset zone are obtained; according to the obtained operation data of each zone and pre-stored normal operation data of each zone, when a fault happensto the to-be-monitored track circuit device or not is judged; if the fault happens to the to-be-monitored track circuit device, the fault type and the fault position of the fault happening to the to-be-monitored track circuit device are confirmed according to the obtained operation data of each zone; according to the fault type, a fault reason and a maintenance method are obtained through matching in a preset fault diagnosis case base; and a monitoring report of the to-be-monitored track circuit device is generated according to the fault type, the fault position, the fault reason and the maintenance method. The operation fault can be found in time, and maintenance efficiency is improved.

The invention discloses a regenerative braking system based on ESC hardware. The system comprises a brake pedal unit, a vacuum booster unit, a brake master cylinder unit, a hydraulic execution unit, four wheel cylinders, four wheel speed sensors, an ESC control unit, a vehicle control unit, a motor control unit and a battery control unit. The brake pedal feeling the same as that of a traditional hydraulic braking system can be guaranteed, no brake pedal travel simulator needs to be additionally mounted, when the ESC hardware fails, backup braking the same as that of the traditional hydraulic braking system can be provided, and the braking safety is guaranteed. Regenerative braking is finished through a drive motor, the hydraulic execution unit is used for finishing hydraulic braking, and a braking scheme which is low in cost and easy to implement and integrates regenerative braking and ESC is provided.

The invention discloses a calibrating method of a color spectrum in oil on-line detecting device, which includes the following steps: step 1, calibrating through the oil sample off-line value at the very day when a transformer is failure-free: 1), sampling an oil sample from the calibrated transformer at the very day, testing concentration of all components and obtaining the average value, calculating and obtaining the correction factor ki,1, and 2), adopting ki for factor correction of detected components of an oil on-line device of the transformer, and completing the calibration; and step 2, calibrating through the color spectrum off-line assay values of several continuous days when a transformer has failure: 1), taking oil samples from the transformer continuously within three to five days, testing concentration of all components and obtaining the average value, calculating and obtaining the correction factor ki1, and 2), adopting ki for factor correction of the detected components of the oil on-line device of the transformer, and completing the calibration. The method better solves the problem that the color spectrum in oil on-line detecting device has big deviation of the on-line detection result for fault early warning of the transformer and off-line data, and is of little difference in analyzing and judging the running condition of the equipment.

The invention relates to a train dynamic tracing safety protection model comprising the specific step 1 of establishing a dynamic safety braking model; the step 2 of establishing a cooperative collision avoidance mechanism used for avoiding occurrence of continuous collision accidents; the step 3 of establishing a threat monitoring mechanism which serves as a complementary mechanism in case of failure of the cooperative collision avoidance mechanism; the step 4 of forming the train dynamic tracing safety protection model through combined action of the dynamic safety braking model, the cooperative collision avoidance mechanism and the threat monitoring mechanism, and ensuring that trains are not rear-ended under the condition of normal operation. The continuous collision accidents can be further avoided even though a preceding train is collided due to external factors.

The present invention discloses a converter station DC field neutral bus lightning arrester charged analysis device. The device comprises a neutral bus lightning arrester, a DC neutral bus, an energy absorbing checking device, and a current nonuniformity analyzer. The DC neutral bus generates an operation over-voltage signal in DC system debugging. The primary side of the neutral bus lightning arrester is electrically connected to the DC neutral bus, and after the operation over-voltage signal passes by the neutral bus lightning arrester, the grounding side of the neutral bus lightning arrester generates a discharge current signal. The high voltage end of an impact voltage divider is electrically connected to the DC neutral bus, and the measuring end of the impact voltage divider generates a converted impact voltage signal. The device comprises a plurality of current sampling modules, the input ends of the current sampling modules are electrically connected to the grounded circuit of the neutral bus lightning arrester. The input end of a voltage sampling module is electrically connected to the measuring end of the impact voltage divider. The device has the advantage that energy absorption and discharge current unevenness of the lightning arrester can be monitored in real time during debugging and operation.

The invention provides an electricity meter-reading check charging training device, comprising an upstream computer, a communication conversion control box, an electricity meter, a meter fault simulator, a current mutual inductor, a voltage mutual inductor and a program controlled power; wherein, the upstream computer communicates with the communication conversion control box which communicates with the electricity meter, the meter fault simulator and the program controlled power, a voltage output end of the program controlled power is connected with a voltage input end of the meter fault simulator by the voltage mutual inductor, a current output end of the program controlled power is connected with a current input end of the meter fault simulator by the current mutual inductor, and the electricity meter connects with voltage output end and current output end of the meter fault simulator. The device has the advantages of scientific design, stable performance, high safety and reliability, and strong practicability.

The method includes steps: (1) setting up emulation terminal (ET) at base station side in use for implementing terminal function; (2) ET initiates call setup to base station; if the call is successful, then this step goes to (3); (3) ET sends data packet to network side to keep network connection, and after a prearranged time, ET initiates connection release to rebuild connection; if the call is unsuccessful, then this step goes to (4); (4) based on condition, ET sends different network fault alarms to background.

The invention discloses a robot management system based on an artificial intelligence design, and the system comprises a GPS positioning module, a motion state data collection module, a robot basic state data collection module, a video data collection module, a robot health estimation module, an expected estimation module, a central processor, and a robot drive module. The system achieves the unified management of a robot, achieves the real-time monitoring of the position, moving devices, basic conditions and working conditions of the robot in the whole management process, and can achieve the real-time changing of a working plan and a movement track according to the actual conditions of the robot. The system has the function of estimating and predicting the conditions of the robot, can timely find a fault of the robot, and can achieve the timely maintenance.

The invention provides a method and device for checking the state of a server, and applied to network equipment. The method comprises the following steps of: sending a service request to the server through TCP connection while successfully establishing the TCP connection with the server; receiving a response message returned by the server according to the service request after successfully sending the service request; and determining the state of the server by checking service characteristics of the response message. Due to application of the embodiment of the method and device, the operation state of the server can be kept in a process of checking the state of the server; therefore, services of the server can be prevented from being interrupted; in addition, the state of the server is checked online through the network equipment; therefore, the state checking efficiency of the server can be increased; and the fault problem of the server can be found in time.

The invention discloses a radio frequency channel real-time calibration method and a secondary radar. The method comprises the steps that the main unit of the secondary radar controls a calibration source to transmit a first calibration signal to a receiver of the secondary radar, wherein the frequency range of the first calibration signal is matched with the working band of the secondary radar; the receiver obtains a standard parameter value of a standard channel of N receiving channels and (N-1) first parameter values of (N-1) receiving channels, except the standard channel, of the receiver based on the first calibration signal, wherein N is an integer which is greater than or equal to 2; the main unit adjusts the (N-1) actual first parameter values of the (N-1) receiving channels based on the (N-1) first parameter values, and obtains (N-1) adjusted actual first parameter values which are consistent with the standard parameter value.

The invention discloses a high and low sensor alternate tracking energy-saving street lamp system and a control method thereof. The high and low sensor alternate tracking energy-saving street lamp system comprises a plurality of street lamps, a street lamp control module, a wireless communication module, a wireless sensor network, a sensor control module and a central control unit; the plurality of street lamps are arranged on the bilateral sides of the road surface; the wireless sensor network comprises high sensors and low sensors which are arranged below the high sensors. According to the high and low sensor alternate tracking energy-saving street lamp system and the control method thereof, the number of front or rear lighted lamps and the lighting duration are calculated according to the movement speed and the movement direction of a moving target, a lighting data instruction is transferred between the adjacent street lamps, and accordingly the communication distance is reduced, the energy consumption is saved, and the service life of the street lamp system is fully extended due to the fact that the working mode that the high sensors and the low sensors are separated from each other is adopted to form the advantage complementation.

The invention relates to a motion control method of a megawatt wind generating set feather system. The motion control method comprises conducting initialization firstly and conducting seven-section type paddle changing, then conducting periodic sampling in a paddle changing process, and adjusting the paddle changing. The motion control method of the megawatt wind generating set feather system is designed according to a set paddle changing system and can find out appropriate acceleration changing rate, maximum accelerated speed and maximum speed according to wind turbine rotate speed and states of a wind turbine so as to effectively restrain pitching vibration (proportion integration differentiation (PID) control is determined by simulation experiments) of the wind turbine. The motion control method of the megawatt wind generating set feather system meets requirements for speedability of wind generating set synchronization and high efficiency in generation, and guarantees safety of the wind generating set.

The invention discloses a method for remote control of an advisement player, which has a small restriction of a data transmission speed and can immediately monitor the advisement player and immediately find out faults of the advisement player so as to reduce maintenance costs and human costs of manual regular inspection and maintenance. The method comprises: transmitting a state querying command to a server and an advisement player at a constant time interval through a control end; by an advisement player, feeding back an advisement serial number of a current playing advisement to the control end; by a server, feeding back an advisement serial number of stored advisement multimedia information, an advisement serial number of download-completed advisement multimedia information of each advisement player and a connection state between each advisement player and the server to the control end; transmitting an advisement updating command to the advisement player through the control end; and by the advisement player, transmitting an advisement updating request to the server, and after the server responds the advisement updating request, downloading advisement multimedia information corresponding to the received advisement serial number from the server, and playing advisements according to playing time of each advisement in the advisement updating command.

The present application discloses a single NVMe hard disk backboard supporting double lighting and a lighting method of the hard disk backboard. The single NVMe hard disk backboard comprises a CPLD, afirst connector, a second connector, and a third connector; the first connector is in signal connection with PCIEX4, VPP and PE_RESET of a CPU through a side board; the second connector is in signalconnection with IIC of BMC through a cable; and the first connector is connected with a NVMe hard disk. The CPLD is used for analyzing a lightning signal from the CPU, detecting the in-position information of the NVMe hard disk, transmitting the in-position information to the CPU through a VPP signal, carrying out information interaction with the BMC through the IIC signal and controlling an IO signal between the CPLD and an indicator light. According to the single NVMe hard disk backboard supporting double lighting and the lighting method of the hard disk backboard in the application, the PCA9555 chip in the prior art is replaced with the CPLD; the CPLD is respectively in communication connection with the CPU and the BMC so that the single NVMe hard disk backboard in the application cannot only achieve VPP lighting but also can achieve BMC lighting; the lighting path is increased; and improvement of the flexibility of lighting is facilitated.

The invention discloses hard disk hang-up fault detection and processing methods and apparatuses for a distributed storage system. Whether a target hard disk has a hang-up fault or not is judged by detecting executive time of an access request corresponding to the target hard disk, so that the hang-up fault of the target hard disk can be timely discovered; after it is discovered that the target hard disk has the hang-up fault, a faulted hard disk is prevented from being accessed again through a state tag on one hand and system resources occupied by the faulted hard disk are cleaned up on the other hand, so that other processes can reallocate and apply the system resources, negative influence possibly caused by the hang-up fault of the hard disk is reduced, and the purpose of stopping loss is achieved. According to the hang-up fault detection and processing schemes provided by the methods and the apparatuses, a detection tool can be provided without depending on a hard disk manufacturer, new hardware does not need to be added to the hard disk, and no manual intervention is needed, so that the simplicity and easiness are achieved, and the production and use costs of the hard disk are not influenced.

The invention relates to a pump group state online monitoring system and method. The monitoring system comprises a plurality of pump state sensors, a plurality of pump state data aggregation devices and an industrial personnel computer serving as a monitoring terminal, wherein the pump state sensors are installed on pumps in a one-to-one correspondence mode, the pump state data aggregation devices and the pump state sensors are in wireless connection, and the pump state data aggregation devices and the industrial personnel computer are in wireless connection or in wired connection. The monitoring method comprises the steps that vibration and temperature information of the pumps is collected by the pump state sensors in real time, transmitted to the pump state data aggregation devices wirelessly, processed in a concentrated mode and then transmitted to the industrial personnel computer, calculation and processing are conducted through the industrial personnel computer, the real-time states, the historical operation states and the fault diagnostic reports of the pumps are displayed, and the online real-time state monitoring on the pumps by a control center is achieved. Faults can be found in time and handled in time, and it is ensured that production is conducted normally.

The invention relates to a centralized monitoring system for energy of various kinds and a monitoring method thereof. The centralized monitoring system for energy of various kinds includes a monitoring instrument for energy of various kinds, data transmission devices and an energy monitoring terminal. The monitoring instrument for energy of various kinds is in wireless or wired connection with the data transmission devices respectively. The data transmission devices are connected with the energy monitoring terminal through a wireless network or a wired network. In the monitoring method, the data transmission devices receive different types of energy data uploaded by the monitoring instrument for energy of various kinds, devices for energy of various kinds and a variety of interfaces are converted into a unified protocol standard for standardization of data access, and the data are subjected to packaging and integration and are centralized into a data reporting message which is then sent to the energy monitoring terminal. According to the invention, a lot of energy of various kinds can be monitored and managed in a centralized manner; installation and commissioning are easy; the management interface is unified; faults are easily detected in time and timely measures are taken; and management efficiency is improved.

The invention discloses a system and a method for monitoring an optical cable of a backbone network. The system comprises a light source, an optical pulse forming unit, a photoelectric detection unit, a data processing unit, an early warning unit and a display unit; the optical pulse forming unit is used for generating local oscillation light and pulsed light according to the light emitted by the light source, the pulsed light is transmitted to a measured sensing optical cable, and backward Rayleigh scattering light generated by the pulsed light in a propagation process is sent to the photoelectric detection unit together with the local oscillation light; the photoelectric detection unit is used for carrying out coherent detection on the backward Rayleigh scattering light and the local oscillation light; the data processing unit is used for carrying out data processing on the signal output by the photoelectric detection unit and outputting a monitoring result; the early warning unit is used for carrying out fault early warning according to the monitoring result; and the display unit is used for displaying a map and locating the fault position according to the map and the monitoring result, and the map comprises a backbone network circuit and an optical cable. The system and the method disclosed by the invention are used for actively monitoring the performance of the optical cable in real time, finding faults or hidden trouble in time and carrying out fault locating and fault early warning.

The invention discloses a magnetic field detection-based synchronous motor static excitation device fault diagnosis method, which is used for solving the problem of detection of a synchronous motor static excitation device fault. The technical scheme is that: in the method, a magnetic signal in a pulse magnetic flux loop of the synchronous motor is acquired on line by a detecting coil, and is displayed and analyzed by a data acquisition instrument, if the signal contains periodic shock pulse or the density of the shock pulse is suddenly increased, a bad contact fault is present between a carbon brush and a collecting ring. The method is simple and practicable, high in reliability and wide in application range, can make maintenance personnel timely discover and treat the synchronous motor static excitation device fault, and guarantees normal operation of the synchronous motor.

The invention discloses a system for identifying, positioning and supervising a special article or personnel, comprising a system server, an RFID middle ware server, fixed RFID reading equipment, a hand-held RFID reading equipment, an RFID label, an audible and visual alarm and the like; the system server is used for storing relevant software and databases; the RFID middle ware server is used for processing the data acquired by the system; the fixed RFID reading equipment is fixedly arranged in a supervising area, internally provided with an RFID reading-writing device and used for acquiring RFID label information and sending the RFID label information to the RFID middle ware server; the hand-held RFID reading equipment is internally provided with an RFID reading-writing device and is used for acquiring RFID label information; the RFID label is internally provided with information of special article or personnel; and the audible and visual alarm is used for feeding back relevant information to relevant personnel in an audible and visual alarming way. The invention is systematized so that all the components are matched mutually and the spherical article or personnel is identified, positioned and supervised effectively.

The invention discloses a multi-source dynamic self-adaptation clock synchronization method and device. The multi-source dynamic self-adaptation clock synchronization method includes the following steps that (a) roll poling is carried out on reference sources and whether the reference sources are valid or not is judged; (b) when the reference sources in the step (a) are valid, the total priority score M of each valid reference source is calculated, and when a certain reference source in the step (a) is invalid, the total priority score of the invalid reference source is N, wherein M is larger than N; (c) the total priority scores, obtained in the step (b), of the reference sources are sequenced, and the reference source with the highest priority score is taken as an automatic source selection result; (d) whether an automatic source selection switch is turned on or not is judged, and when the automatic source selection switch is turned on, the current reference source is the automatic source selection result obtained in the step (c). Due to the facts that the reference source with highest time service accuracy is obtained from the multiple reference sources and is taken as the current reference source, time service accuracy is improved, and use safety and reliability of a power grid and a transformer substation are guaranteed.

The invention discloses an unmanned aerial vehicle battery automatic exchange, data transmission and fault detection platform which is savable in time and effort and capable of effectively prolonging the endurance time and improving the working efficiency. The unmanned aerial vehicle battery automatic exchange, data transmission and fault detection platform is provided with a platform control center communicating with a master control center, and a plurality of subsystems are connected to the platform control center. The platform control center is provided with a control and communication module, and a memory and a 360-degree panoramic camera are connected to the control and communication module. Each subsystem is provided with a charging device and a battery automatic exchange device which are connected with the control and communication module. The output end of each charging device is connected with a battery. An unmanned aerial vehicle landing platform is provided with an unmanned aerial vehicle positioning sensor. The output end of the unmanned aerial vehicle positioning sensor is connected with the control and communication module.

The invention discloses a monitoring and service life managing system for a belt conveyor. A master controller positioned on the machine head of the belt conveyor communicates with a plurality of input and output controllers which are positioned on a plurality of joints along the belt conveyor, the input and output controllers acquire fault signals of off-tracking, over-temperature, smoke, coal piling, tearing and slipping of the belt conveyor as well as temperature signals of a motor, a gearbox and a roller, an adhesive tape operation speed signal, a motor current signal, and vibration signals of the motor and the gearbox, and the master controller analyzes, computes and processes acquired information through a human-computer interface based on VB, so that comprehensive monitoring, in an operation process, of the belt conveyor as well as service life management on the motor, the gearbox, the roller and a carrier roller part is realized. According to the monitoring and service life managing system disclosed by the invention, the operation state of the belt conveyor is monitored in real time, corresponding control signals can be output according to monitored information, and management is carried out on service life of the motor, service life of the gearbox, service life of the roller and service life of the carrier roller, so that safety, stability and continuity of operation of the belt conveyor are improved.

The invention relates to a bearing inner ring fault residual life prediction method using an FBM-based long correlation model. The method comprises the following steps: 1) acquiring a vibration signalby an acceleration sensor, converting an acceleration signal into a speed signal, and calculating signal energy of the vibration signal; 2) decomposing an energy sequence by adopting an empirical mode decomposition method, decomposing an original signal into a plurality of IMFs with limited bandwidths, and selecting a component reflecting a bearing degradation trend; 3) acquiring a Hurst parameter value of the decomposed energy sequence by utilizing a rescaled range analysis method; 4) estimating FBM degradation model parameters by adopting a maximum likelihood estimation method, and buildingan FBM-based degradation prediction model; and 5) predicting the model by adopting a Monte Carlo method to obtain the residual service life in a current state. Compared with the prior art, the methodhas the advantages that the prediction precision can be improved, the operation faults of bearings can be found in time, the fault occurrence rate in the normal production process can be reduced, andthe economic benefits of enterprises can be improved.