151results about How to "Know the running status" patented technology

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 discloses an information safety operation and maintenance supervising platform for carrying out centralized monitoring, centralized maintenance and centralized alarm analysis on a network, a server, a data base, an intermediate piece, an application system and other monitored objects in an electrical secondary system. The platform comprises a data monitoring center and webmaster devices distributed in various safe areas, wherein the webmaster devices are used for acquiring and processing data information of the monitored objects and transmitting the data information to a data monitoring center through an output interface for centrally analyzing and storing and also provide a browse interface for the local monitoring. The platform enhances the control force on the network andthe whole information system, improves the operation and maintenance level and ensures the safe management of the electric power secondary system.

The invention discloses a remote-monitoring intelligent boiler system which comprises multiple boiler control subsystems, a remote-monitoring platform and a handheld mobile terminal. The boiler control subsystems are used for collecting and uploading operating data of a boiler, and controlling the operating state of the boiler according preset parameters. The remote-monitoring platform is a computer system arranged in the remote control center, and is used for monitoring operating data of each boiler subsystem remotely, and carrying out warning and remote boiler shutdown or remote fault processing operation when faults occur. The handheld mobile terminal is used for getting access to the remote-monitoring platform, inquiring the boiler state and achieving remote boiler shutdown or remote fault processing operation. The system has remarkable advantages that remote monitoring, warning, remote boiler shutdown and remote fault processing functions are achieved, the number of boiler managing personnel can be reduced, operating cost of the boiler is reduced, and the faults are mastered in real time and can be diagnosed and processed fast.

The invention discloses a system and method for evaluating reliability of a machine tool. The system comprises a terminal information processing module, a data acquisition module, a vibration monitoring module, a microscopic optical module and an image processing module. Based on the self-learning and self-adaptive functions of an artificial neural network, historical data are used as a fitting sample to monitor performance parameter indexes affecting the reliability of the tool during the machining process in real time, such as vibration signals, current signals, sound wave signals, the wearing capacity and the processing roughness. By monitoring the running state of the tool in real time, feeding back real-time reliability information of the tool, and estimating the residual service lifeof the tool, a processing enterprise can make preventive measures in advance, the loss is reduced, and the overall processing efficiency is improved.

The invention provides a display method and electronic equipment using the display method. The display method comprises the steps: when the electronic equipment is provided with first application, monitoring a running state of the first application; when the running state of the first application is switched from a first running state to a second running state, controlling the display of a first icon of the first application to be converted from a first image to a second image, wherein the first icon is an operating object for switching a display state of the first application after triggering operation is received; a first difference between the first image and the second image is based on the content of the first icon.

The invention belongs to the field of feed line automation and particularly relates to a distribution master station FA anti-error verification method based on grid operation data. The method includesthe following steps of: (S1) embedding an FA anti-error verification function module as an independent module in a power distribution master station system; (S2) performing data sharing; (S3) performing fault diagnosis; and (S4) performing FA scheme verification and safety lockout. The method improves the safety and stability of the long-term operation of the FA function, deepens and perfects theFA function, and facilitates the operator to more fully understand the operating status of the feed line.

The invention discloses a high-voltage switchgear monitoring system and relates to the technical field of switchgears. The high-voltage switchgear monitoring system comprises an information acquisition apparatus, a communication module, a cloud server and a mobile terminal, wherein the information acquisition apparatus monitors the voltage, current, insulation, humiture and breaker action in a high-voltage switchgear, and comprises a voltage acquisition module, a current acquisition module, a humiture sensor, a dust monitoring module and a gas sensor, the communication module transmits the information acquired by the information acquisition apparatus to the cloud server, the cloud server analyzes and processes the information acquired by the information acquisition apparatus to obtain result and sends the result to a mobile terminal, and the mobile terminal allows workers to receive information sent by the cloud server. The high-voltage switchgear monitoring system can realize real-time remote monitoring of a high-voltage switchgear. Effective monitoring can be achieved by monitoring a plurality of parameters in the high-voltage switchgear, and the operation state of the high-voltage switchgear can be known accurately.

The invention discloses a safety fence system special for transformer substation gas insulated metal-enclosed switchgears. The safety fence system comprises a safety fence body which comprises support rods, support frames, an extension-type railing and magnetic suction cups; the support frames are fixed to the lower ends of the support rods, multiple insertion holes are evenly distributed on the periphery of each support frame, the extension-type railing is movably connected with the support frames through the insertion holes, the extension-type railing is provided with railing clamps, and the magnetic suction cups are fixed on the railing clamps; transformer substation gas insulated metal-enclosed switchgear hooking loop covers are fixed on the support rods and hooked on sleeves of the transformer substation gas insulated metal-enclosed switchgears. The safety fence system further comprises an image gathering module which is arranged on the safety fence body and used for gathering images around the safety fence body within a certain distance and transmitting the images to a controller. By means of the safety fence system special for the transformer substation gas insulated metal-enclosed switchgears, a safety fence has an active prompt function under the environment that light rays at night are insufficient, and the safety of operating personnel and the switchgears is beneficially guaranteed.

The invention discloses a PT intelligent resonance elimination device for a power distribution network. The PT intelligent resonance elimination device comprises a signal conditioning module, a data collecting module, a central processing unit, a sound-light alarming module, a resonance elimination device triggering module and a resonance elimination device body. The signal conditioning module collects a voltage signal and carries out lowpass filtering on the signal to eliminate the frequency aliasing phenomenon possibly caused by a signal with over-high frequency during spectral analysis; the data collecting module carries out A/D conversion on the voltage signal processed by the signal conditioning module; the central processing unit carries out data analysis on the voltage signal and sends the signal to the sound-light alarming module and the resonance elimination device triggering module; the sound-light alarming module can give out a sound-light alarm when a system has faults; the resonance elimination device triggering module sends out a trigger signal to control switching on and off of a thyristor of the resonance elimination device body; the resonance elimination device body comprises a damper electric reactor and an antiparallel silicon-controlled thyristor. By means of the PT intelligent resonance elimination device for the power distribution network, the ferromagnetic resonance fault can be effectively eliminated, a single-phase grounding fault and the ferromagnetic resonance fault can be effectively distinguished, and the sound-light alarm is given out.

The invention relates to an operation instructor of vacuum dust collector. Wherein, it comprises a power provider for powering the vacuum dust collector; an operation mode input for inputting the operation mode of dust collector; an operation mode display for displaying the input mode; a sound reporter for reporting the input operation mode with voice; and a controller for controlling the display and the sound reporter via the input signal of mode input. The invention can automatically adjust the adsorption force of collector based on foreigner mass, and user can watch the operation mode or state easily.

The invention discloses a real-time on-line detection system for tension of a steel wire rope for an elevator. The detection system comprises a cloud server, a sensor, an information collection board, an intelligent decision-making terminal, a hand-held monitor and an elevator system, wherein the sensor monitors the tension for dragging the steel wire rope in real time and online displays a numerical value of the tension received by the steel wire rope, so that all the tension for dragging the steel wire rope is conveniently adjusted to be uniform, the service life of the steel wire rope is prolonged, and the elevator running comfortableness is improved; by monitoring the change of the numerical value of the tension for dragging the steel wire rope in real time, whether there are persons in a car can be determined, and a weighing function of the elevator is realized; the intelligent decision-making terminal receives data, makes a local decision according to set logic, and controls the elevator to emergently stop running or stop running after the elevator stops nearby in an abnormal state, thereby avoiding sudden accidents; and the cloud server collects historical big data, performs comparison, analysis, judgment and depicts a change trend of the tension of the steel wire rope, and if the trend becomes bad, a preventive and targeted maintenance service can be performed, thereby improving a safety coefficient of elevator running.

The invention discloses a method for simulating value-added services, which is applicable to simulation technology in the field of telecommunication. The method comprises the steps as follows: an emulator of the service creation environment (SCE) triggers the formal operation of simulation engine service; the simulation engine sends a service independence block (SIB) path to the SCE emulator via the SCE debugger; and the SCE emulator performs simulation debugging to the services according to the SIB path. The invention also provides a system for simulating value-added services. According to the technical scheme provided by the invention, value-added services can be simply and intuitively simulated, and simulation debugging of the services can also be accomplished.

A method for controlling X-ray crack detector includes adding X-ray dosage detection-control unit on existing X-ray crack detector to let said detector have detection-control function of radiation dosage for displaying dosage rate and accumulation dosage of radiation in real time, enabling to convert accumulation dosage to be blackness value of film for controlling exposure parameters so as to have optimum imaging-result.

The invention discloses a nonlinear flow modeling and compensating method for a load port independent hydraulic system. The method comprises the following steps of initializing a real-time signal sampling period and system parameters; according to a sensing system in a load port independent hydraulic control system, collecting effective system signals such as pressure of two cavities of a hydraulic oil cylinder, pressure of an outlet of a hydraulic pump, operation displacement and a speed of a load and the like in the load port independent hydraulic control system; establishing a proportional valve model of a proportional control valve, and further establishing a hydraulic system model for identification of the load port independent hydraulic control system; inputting the effective system signals into the hydraulic system model for identification, and acquiring system parameters and the like through identification; and acquiring a compensation amount according to processing of system parameters and the like for compensation control. The method has an expected valve flow compensation function, and the system control precision can be improved.

The invention discloses an intelligent socket, comprising a socket main body and a display device arranged at the outer surface of the socket main body, an electric quantity detecting device which is connected with the display device and is used for detecting a real-time power parameter in the process of using the socket; a controller, which is connected with the electric quantity detecting device and the display device and is used for receiving the power parameter detected by the electric quantity detecting device and transmitting the power parameter to the display device. Because the display device is arranged at the intelligent socket in the invention, the display device could display the real-time power using state of an electric apparatus to obviously know the operating state of the electric apparatus and achieve visualization of the operating state of the electric apparatus, and therefore, a user could better know the operating condition of the electric apparatus and search the abnormal working state of the electric apparatus in time so as to cut off the power before the happen of the danger. The intelligent socket of the invention ensures the electricity safety and has better user experience.

The invention relates to a cluster resource monitoring system based on service discovery. According to the system, omnibearing monitoring indexes of a host and a cluster can be checked through a container cloud platform, and an alarm is set according to the monitoring indexes of the host and the cluster; an alarm assembly can push alarm information to a user in various modes, can check all historical alarm information in the container cloud platform, and can also perform operation on the alarm information, such as alarm confirmation, alarm recovery and the like. According to the invention, thecontainer cloud platform can dynamically sense the operation of newly adding or deleting the host of the container cluster and the non-container cluster, manual intervention is not needed, componentsnecessary for monitoring can be automatically installed or uninstalled, manual participation of system operation and maintenance personnel is reduced, the operation state of the cluster is known in time, and major production accidents are avoided.

The present invention provides a method and device for monitoring the operation of a software program. The method includes: during the running process of the target software program, acquiring information about the current running state of the target software program; if the current running state is a predetermined In the running monitoring state, the log output of the target software program is activated to record the running data in the running monitoring state. The method and device for monitoring the operation of a software program in the embodiment of the present invention can control the output of the log of the target software program in a controlled manner when the target application program is in a predetermined operation monitoring state such as freezing, so as to avoid affecting the normal operation of the software program.

The invention discloses an unmanned management method and system for test equipment. The system is formed by the connection of a plurality of information acquisition units with a server through a router. Each information acquisition unit comprises a sensor, a micro processing unit (MCU), a controller area network (CAN) module and a transmission control protocol (TCP)/Internet protocol (IP) chip. An acquired analog signal of test equipment is sent to the MCU by the sensor through an A/D interface, amplification, data processing and logic judgment are carried out on a digital signal, the processed digital signal is converted into a differential signal by the CAN module and sent to a CAN interface, and the differential signal is then received and analyzed by the TCP/IP chip and transmitted by a TCP/IP interface, so that the method for the uninterrupted real-time monitoring of the running state of the test equipment and failure alarm is realized. The signal of the test equipment is mainlytransmitted with the method of building a local area network through combining a CAN technology and a TCP/IP technology. The method has the advantages of high communication speed, good real-time property and simplicity for wiring, and solves the problems of limited number of network interfaces, complicated wiring and the like.

The invention discloses a wind turbine generator training system, comprising a master control electrical system, a model simulation system, a converter cabinet electrical system, a variable-pitch cabinet electrical system, a signal cabinet electrical system, a practical operation training system, a theory learning system, a monitoring system and a simulation operating system. The series of theorylearning system and practical operation training system is built to assist in knowledge infusion and visualized operation for service talents in the wind power field from the visual angle, so that thesystem can meet related requirements on training and skill improvement for wind power trainees and effectively improve manipulative ability and actual failure clearing ability of the trainees on thepremise of guaranteeing safety of the trainees and units, especially improving the ability of rapid handling to failure of the wind turbine generator, thereby achieving effective failure clearance, increasing utilization rate of the wind turbine generator and increasing economic benefit of owners effectively.

The invention relates to a manufacturing industry field process abnormal behavior detection method, which is mainly used for researching a detection method based on a behavior characteristic knowledgebase for manufacturing industry field process abnormal behavior detection, and is used for constructing a random forest abnormal detection model based on a random forest algorithm. According to the specific implementation method, PCA method dimension reduction is carried out on process data of an industrial field, feature selection is carried out by adopting an integrated rule tree model, and theprocess data is classified by adopting a random forest algorithm. Each path of the random forest corresponds to one rule, good interpretability is achieved, the classification accuracy is greatly improved, a large number of input variables can be processed, and even if process data contains missing values, the classification result can still reach high accuracy. A behavior characteristic knowledge base and a real-time emergency decision-making framework of an unknown behavior scene are fused, and abnormal behaviors are early warned in advance by predicting behavior detection of industrial field process data.

The invention discloses a fieldbus-based large tracking photovoltaic plant distributed control system, which comprises a field control layer, an array control layer, a master control layer and a management layer, wherein the field control layer comprises a tracking controller, a header box, an inverter, a step-up transformer and a weather station; the array control layer comprises an array controller and a 485 concentrator; the master control layer comprises a region server, a LINK and a 485 concentrator; and the management layer consists of a field management system and a remote management system, and is used for receiving signals transmitted by the master control layer to perform full-automatic monitoring management on equipment of the whole plant. Through the network structure, the control concept and the modern management mode, the system can effectively improve the stability, expandability, maintainability, and the monitored and managed properties of a large tracking photovoltaic plant, and has positive significance for promoting the construction of the large tracking photovoltaic plant, particularly a concentrating photovoltaic plant.

The invention discloses a method and a device for generating a network topology based on sFlow, and relates to the technical field of computers. The method comprises the following steps of determiningflow data with the same quintuple in sFlow flow data as a set, and storing the set in a network flow hash table; acquiring network node data of the network flow, and determining a source IP address of the network flow as a starting point of a topological structure; when a first node in a TTL value sequence is a first-level node, determining the first node as the first-level node of the topological structure; or when a plurality of first nodes are not the first-level node, matching a next-hop IP address of the source IP address with the IP addresses of the first nodes, and taking the first nodes as the first-level nodes of the topological structure; and when the next-hop IP address of the first-level node is determined as a destination IP address of the network flow, determining the destination IP address as a next-level node of the first node.