31results about How to "Reflect running status" patented technology

The invention discloses a method for evaluating the running state of a regional high-speed road network, which is realized through the following steps: step 1: divide the road section of the high-speed road network; step 2: obtain the evaluation of the micro-traffic running state of the expressway sub-road section; step 3: obtain the expressway Road section mesoscopic traffic operation state evaluation; Step 4: obtain the macro-traffic operation state evaluation of the high-speed road network based on the road network structure; Step 5: obtain the expressway road network traffic travel index; The judgment of the speed and threshold of each section of the highway determines the congestion degree of each section, and then determines the traffic congestion index of the road network by calculating the ratio of the congestion mileage to the total mileage of the road network. This index is a macro index for evaluating the regional expressway network and can intuitively reflect The operating status of the regional expressway network provides a dynamic travel index for traffic managers and traffic travelers.

The invention discloses a method for protecting the thrust bearing of an axial-flow fixed-propeller generating set based on multi-feature fusion, which includes: measuring and calculating the dynamic lifting amount of the hydro-generating set, the turning angle of the thrust head, the inclination of the thrust pad, and the wave of the mirror plate degree and the non-perpendicularity between the main shaft and the mirror plate; if the dynamic lifting amount is greater than the preset dynamic lifting amount threshold, the thrust head flip angle is larger than the preset thrust head flip angle threshold, and the thrust tile inclination is larger than the preset thrust tile If any one of the inclination threshold, the waviness of the mirror plate is greater than the preset waviness threshold of the mirror plate, or the non-perpendicularity between the main axis and the mirror plate is greater than the preset non-perpendicularity threshold between the main axis and the mirror plate, an alarm signal will be output. The invention more comprehensively reflects the operating state and health status of the thrust bearing of the unit, thereby accurately assessing and predicting potential defects and problems existing in the operation of the thrust bearing, and ensuring the stability and safety of the thrust bearing operation.

The invention discloses a remote monitoring method and a remote monitoring system for a development machine, which are used for local and remote real-time monitoring of development process, working state and dynamic parameters of the development machine, high-speed wireless data transmission, information acquisition, finishing and storage and have remote monitoring function. The system comprises an onboard controller, a remote controller, a laser orientation instrument, a laser receiver, a digital compass, a wireless network, a wireless repeater, a wired network, a distributed sensor network and a wireless repeater placer. By adopting a wired and wireless data transmission mode, the method and the system well solve the problems of coal bed falling rock, cable dragging damage and the like because a mechanical cable winding system is adopted in the traditional data transmission. The remote monitoring method and the remote monitoring system for the development machine can instantly, intuitively, accurately and comprehensively reflect the running states of the development machine in the onboard controller and the remote controller, perform fault diagnosis and remote control and improve the safe and reliable running capability of the development machine by digital and information means.

A thermal power plant visual management system based on virtual reality is provided. The system comprises a system module, an offline database and a special computation module, wherein the system module is connected to a user unit local area network and is used for obtaining acquired boiler heated surface physical parameters and real-time data from the local area network and sending a boiler heated surface overhauling decision to the user unit local area network; the special computation module is used for determining fatigue, creep and over-temprature conditions of a boiled heated surface part according to the boiler heated surface physical parameters and the real-time data, so as to determine a health degree of the heated surface; the offline database is used for recording boiler overhauling historical data; the system module is used for analyzing the obtained boiler heated surface overhauling decision according to a result of the special computation module and records of the offline database. According to the thermal power plant visual management system based on the virtual reality, risk analysis is carried out on a boiler heated surface pipeline and the reasonable heated surface overhauling decision is customized, so that non-planned stopping times of a power generator set are reduced.

The invention provides a power equipment safety analysis system based on ultraviolet spectrum technology. The system comprises an identification module, an analysis module and a comprehensive determination module which are successively connected, wherein the identification module comprises an image acquisition client, an environmental parameter acquisition end, and a data concentrator connected with the image acquisition client and the environmental parameter acquisition end. The analysis module includes an image intelligent security indication unit and a communication unit connected thereto.The comprehensive determination module includes a security indication unit and a display unit. The data concentrator is connected to the image intelligent security indication unit. The image acquisition client comprises an ultraviolet imaging device, a data acquisition card and a visible light sensor. The environmental parameter acquisition end comprises a temperature and humidity sensor, an eddycurrent sensor, a wind sensor, a voltage sensor and a current sensor. The power equipment safety analysis system, by identifying the ultraviolet spectrum of the power equipment, identifying the equipment identification and considering the influencing factors of the environmental parameters, establishes a comprehensive analysis safety database and realizes the safety analysis of the power equipment.

The invention discloses a high-frequency partial discharge detector calibration system and a calibration method thereof. The system comprises a frequency modulation and amplitude modulation signal generator, a power-frequency current generator, a standard partial discharge signal generator, a signal conditioning module, a coaxial cable, a matching impedor, an oscilloscope, and a central control unit. The calibration method comprises the steps like calibrating the saturation characteristic of a high-frequency partial discharge detector. The amplitude and frequency of the frequency modulation and amplitude modulation signal generator are easy to adjust. The performance calibration requirement of high-frequency partial discharge detectors and high-frequency current sensors thereof can be satisfied. The problem on performance calibration of high-frequency partial discharge detectors and high-frequency current sensors thereof can be solved effectively and in a unified way. Regular inspection of high-frequency partial discharge detectors can be implemented easily. Good performance of high-frequency partial discharge detectors is ensured. The running status of electrical equipment can be reflected effectively. The system and the method of the invention have the advantages of accurate and reliable test results and easy implementation.

The invention relates to a voltage stability assessment method based on thevenin equivalence and branch transmission power limits. The method comprises the steps of obtaining relative power margins of all load nodes of an electric system, and selecting the minimum value of the relative power margins as a voltage stability index of the electric system, wherein the larger the voltage stability index is, the higher the voltage stability of the electric system is; according to the step of obtaining the relative power margins, 1, thevenin equivalence parameters of load nodes to be assessed are obtained; 2, a two-node system containing the load nodes to be assessed is constructed by means of the thevenin equivalence parameters, a power balance equation is analyzed, and a quiescent voltage stability discriminant is obtained; 3, branch transmission power limits of the two-node system are obtained through calculation of the quiescent voltage stability discriminant, and the relative power margins of the load nodes to be assessed are obtained. Compared with the prior art, no local measurement data is needed, calculation is rapid and convenient, assessment indexes containing the limit transmission power are given, and online voltage stability assessment of a power grid is achieved.

The invention discloses a data pretreatment method for a steam water leakage diagnosis of a heat recovery boiler. The data pretreatment method comprises the following steps that: (1) the operation data are collected and recorded; (2) the abnormal data among the operating data are removed; (3) the operating data in steady operating condition are screened; (4) steady-state segments are conducted with the mean value polymerization on the basis of the abnormal data removal and the steady-state screening. The data pretreatment method for the steam water leakage diagnosis of the heat recovery boiler is put forward according to the characteristics of the operation data of the gas-steam combined cycle unit heat recovery boiler. The data pretreatment method has the advantages of high reliability, improved operating data quality and improved fault diagnosis accuracy rate.

The present invention discloses a five-degree-of-freedom bearingless permanent magnet synchronous motor fuzzy neural network decoupling controller. The controller is formed by connection in series of output ends of two dynamic prediction modules with the input end of a fuzzy neural network system, the input of a first dynamic prediction module is a radial displacement {xa, ya}, an axial displacement za and a radial displacement set value (img file='DDA0001335767690000011. TIF' wi='154' he='65' / ) and an axial displacement set value (img file='DDA0001335767690000012. TIF' wi='79' he='64' / ), and the output of the first dynamic prediction module is composite control signals ja; and the input of the second dynamic prediction module is a radial displacement {xb, yb}, a rotation speed [Omega], a radial displacement set value (img file='DDA0001335767690000013. TIF' wi='150' he='65' / ) and a rotation speed set value [Omega]*, and the output of the second dynamic prediction module is composite control signals jb and rotation speed control signals [Omega]c. The five-degree-of-freedom bearingless permanent magnet synchronous motor fuzzy neural network decoupling controller combines the fuzzy logic control to have low sample requirement, and the neural network has good dynamic performances for the system learning capacity and prediction control, and various good static dynamic performances such as rotor radial position and motor speed control can be obtained, etc.