1449results about How to "Realize online monitoring" patented technology

The invention discloses a method for the fault diagnosis of wind turbines on the basis of a genetic neural network, in particular to a method for modeling the fault diagnosis of wind turbines on the basis of the genetic neural network capable of learning the operating data of the wind turbines in the history, more particularly a method for judging the probability that faults occur to a gearbox, a generator and a yaw system by reading the real-time operating data of the wind turbines online and calling the diagnosis model of the genetic neural network to carry out the analysis on the real-time data, thus judging the fault state of the wind turbines. Based on the method combining the genetic algorithm with the neural network, the invention can achieve the algorithm complementation, improve the model convergence and diagnostic capacity and ensure higher robustness; and the method capable of carrying out the online monitoring and fault diagnosis on the operating state of the wind turbines on a real-time basis to take maintenance measures as soon as possible can improve the reliability of the wind turbines and reduce the maintenance cost.

The invention relates to a nuclear power plant working robot and a control system thereof, which belong to the fields of robots and automation equipment. The nuclear power plant working robot is a crawler-type mobile manipulator and is composed of a mobile platform driven by double crawlers and a four freedom degree manipulator carried on the mobile platform. The nuclear power plant working robot can move inside a nuclear power plant, has two control modes of manual remote control and autonomous control, and is remotely controlled by a wireless or wired mode. The control system of the nuclear power plant working robot includes a host monitoring and planning control system and a robot control system which are matched to control the operation of the robot. The robot operates autonomously, is safe and reliable, can complete certain dangerous tasks in high radioactivity environment; the robot has small size, stable performance, great maneuverability and low operation cost; a crawler-type chassis has strong gripping force as well as certain climbing and obstacle clearing ability, and is suitable to walking over complex terrains; and the robot has high intelligence degree and can realize autonomous control and manual remote control.

The invention relates to a wireless acquisition device of culture water quality, which comprises a sensor group, a microprocessor and a wireless communication module. Based on the wireless acquisition device, the invention also discloses a system for wirelessly monitoring the culture water quality, which comprises a data storage module, a power supply module and a buoy. The device and the system adopt a solar energy supply; the system has an online state and a dormant state; software and hardware are designed by adopting a low power consumption power-saving mode, and can acquire and store a plurality of water quality parameters such as the pH value, the electrical conductivity (EC), the water level, the dissolved oxygen (DO) and the water temperature of a culture water environment; the acquired data can be sent to a data monitoring center by GPRS; and the DO value in water can be predicted, and water quality DO early warning information is sent to an intensification aquaculture manager through mobile phone short messages.

The invention provides a monitoring method for the turning stability of a digital control machine tool, relating to the monitoring technical field. As the performance of a servo system is continuously improved, a response speed, the sensibility and the like of the servo system are also continuously improved, thus, states of the machine tool can be reflected on a current of a driving motor during a cutting process. In the invention, through various signal processing methods, a plurality of characteristic values of current signals are extracted, a characteristic status vector is established as an input of a mathematical model, and a cutting status of the machine tool is output through analysis and calculation of the mathematical model. As the invention has the characteristics that the current signal has high anti-interference performance and is easy to be acquired, assistant tools are fewer, and the like, compared with a plurality of existing monitoring methods, the invention has the advantages of simple and feasible operation, good monitoring effects and the like; thereby, the invention can more easily realize the online monitoring for the processing states, and can effectively guarantee the processing security and the product quality.

The invention relates to a fast scanning method of pipeline drawbacks and a non-destructive detection device, which is more particularly suitable for fast scanning and non-destructive detection of drawbacks of the pipelines with insulation. The invention is composed of a guided wave sensor, a transmitting module, a receiving module, a signal generating module, a power amplifying module, a signal processing module, an A/D conversion module and an built-in computer system. The invention is suitable for comprehensive detection of drawbacks of pipelines with different diameters, detection of long distance pipelines, and detection of pipelines in inaccessible places. The invention has the advantages of fast and large-scale detection ability without contact, high efficiency; overcoming a plurality of limitations of the conventional non-destructive detection method; overcoming the restriction conditions of oil pollution, fouling, bending or heat insulation protective layer, judging and locating the drawbacks of the pipelines, reducing the maintenance range, avoiding unnecessary disassembly and replacement, reducing the intensity of artificial detection, and saving the human and material resource. In addition, the invention can achieve on-line monitoring, and evaluate the health condition of the element or predicts the service life of the element.

The invention relates to a piezoelectric stack pump provided with a sensor, and belongs to the field of application of microfluid transmission and control. A piezoelectric stack used for driving and a piezoelectric sensor used for measuring are installed inside a pump body; one end of the pump body is provided with a tightening bolt; the piezoelectric sensor and the piezoelectric stack are pressed on an ejector block by the tightening bolt through an anti-twist baffle piece; the ejector block is connected with the diaphragm of a pump cavity and a piston through bolts; an inlet valve and an outlet valve are arranged on a pump cover; and the piezoelectric sensor and the piezoelectric stack are respectively connected with a control power supply through guide lines. In the piezoelectric stack pump, the built-in piezoelectric pressure sensor is used for detecting deformation information of the piezoelectric stack and transforming the deformation information into pump flow and pressure, the on-line monitoring on the output performance of the piezoelectric pump can be realized without other pressure/flow measurement instruments, and accurate output flow and pressure can be easily obtained.

The invention discloses a real-time quality monitoring device and method for a selective laser melting processing process. Advantages of non-contact measurement means such as an industrial camera, aninfrared thermal imager, a high-speed camera and a photodiode are comprehensively utilized, and a set of complete monitoring method is formed. Through the on-line monitoring method combining an off-axis on-line monitoring device with a coaxial on-line monitoring device, the working condition of a printing work plane can be captured, and real-time molten pool data can also be collected. The meltingand condensation processes of metal powder can be monitored in a microcosmic manner, and a printer system and a workpiece layer-by-layer quality can also be monitored in a macroscopic manner. The industrial camera is adopted to monitor powder bed defects and printing defects, and the infrared thermal imager tracks the scanning path and captures the thermal stress; and the high-speed camera observes the geometrical morphology of a molten pool, and the photodiode captures the radiation strength of the molten pool. The process marks are made to correspond to printing process parameters, and on-line monitoring of the selective laser melting processing process can be realized more effectively.

The invention discloses a system and a method for intelligently monitoring a belt-type conveyer for a coal mine steel wire rope core. A monitoring platform of the monitoring system comprises a variable frequency control system, a running monitoring system for monitoring the running state of a steel wire rope core conveying belt and an electromagnetic online monitoring system for monitoring whether a defect is existent in the steel wire rope core conveying belt or not and the type and the position of the existent defect. The monitoring method comprises the steps as follows: 1, starting the conveyer and electromagnetically loading; 2, positioning the connectors on the conveying belt; and 3, acquiring signals in real time and synchronously classifying the signals, namely in the continuous rotation process of the steel wire rope core conveying belt, whether the defect is existent in the steel wire rope core conveying belt or not and the type and the position of the existent defect are determined by the electromagnetic online monitoring system, and the running state of the steel wire rope core conveying belt is monitored by the running monitoring system at the same time. The system and the method are reasonable in design, simple and convenient to use and operate, convenient to realize, good in using effect and high in practical value, and integrate the functions of variable frequency control, running monitoring and electromagnetic online monitoring.

The invention provides a welding quality monitoring system and method. The welding quality monitoring system comprises a welding gun, a thermal infrared imager, an image capture card and an image processing computer. The welding gun is used for welding welding spots. The thermal infrared imager is used for recording molten bath infrared thermal imaging data of the welding spots. The image capture card is used for collecting the molten bath infrared thermal imaging data and sending the molten bath infrared thermal imaging data to the image processing computer. The image processing computer is used for analyzing the molten bath infrared thermal imaging data to obtain welding parameters, comparing the welding parameters with preset welding standards and obtaining a welding spot quality estimation result. In this way, by the adoption of the welding quality monitoring system and method, online monitoring of automatic welding quality can be achieved, the monitoring efficiency and monitoring quality are improved, and the missing inspection rate is reduced.

The invention relates to an online measuring device and method of roller roundness and roller-shaped error for roller grinding machine with high precision. The roller can be mounted with eccentricity, the machine tool principal axis error and the machine tool guide error are separated by the two point error separating method, thereby greatly improving the measuring precision of the roller. When measuring the roller diameter, this measuring device can realize a plurality of measurements by one calibration. The invention has advantages that: a measuring device with two point error separating is provided, the data calculation measured by the device is simple, the measuring precision and the measuring efficiency of the roller is greatly improved. When an eddy-current test sensor 22(D) is mounted on the device to realize on-line monitoring of the roller surface quality.

The invention relates to a method for testing the mechanical of the steel plate on line when rolling, providing a comprehensiveness on-line predicting method based on the physico-metallurgy model and combined with the database, information technology through setting up a corresponding model of microscopic structure, finished size, art component to the mechanical. The method including the following steps: (a) selecting and confirming the parameter of the model; (b) setting up the real-time traffic to the processing machine, calling the art parameter and alloying component dynamic data from the processing database; (c) predicting the ferrite grain size and temperature (d) predicting mechanical of the finished plate. The invention is used specially for low-carbon steel and mini alloyed steel, the adaptive process is heavy and medium plate mill or big mill and finisher in rolling process.

The invention discloses a real-time monitoring method for the thermal efficiency and gas characteristics of a gas boiler. According to the method, basic gas characteristics are amended through real-time operating data of the boiler, so that real-time gas characteristics are obtained and applied to the calculation of the thermal efficiency of the gas boiler, and the real-time on-line monitoring of the thermal efficiency and the gas characteristics of the boiler is realized. The real-time monitoring method overcomes adverse effects caused by fluctuation of the gas characteristics on the calculation of the thermal efficiency of the boiler and is more accurate than a traditional method in which the thermal efficiency of the boiler is calculated by testing the gas characteristics regularly; an expensive on-line analyzer is not required to be additionally added on site, and the real-time monitoring method can be realized by fully utilizing existing conditions of a power plant and has good implementability and operability; and boiler operators can be guided by results in real time for optimization and adjustment, the economic operation of the boiler is facilitated, and the purpose of energy conservation and consumption reduction can be achieved.

The invention discloses a multi-field coupling efficient automatic salting device of preserved eggs and salted eggs, comprising a tank body and a tank cover, wherein the tank body is a horizontal box body, the top of the tank body is provided with a safe overflow vent, and the bottom is connected with a self-circulation solenoid valve via a pipeline; each valve is connected with a singlechip controller; the top of the tank body is connected with a pressurized solenoid valve and a pressure-relief solenoid valve by an air tube; the pressurized solenoid valve is connected with an air compressor by the air tube; a heating pipe, a temperature sensor, an ultrasonic vibrator and a solution concentration sensor are arranged in an interlayer between the bottom of the tank body and a clapboard; the top of the tank body is provided with liquid level sensors, and each sensor is connected with the singlechip controller; and the on/off switches of the heating pipe and the ultrasonic vibrator are controlled by the singlechip controller. The invention also discloses a control method of a salting device, comprising five steps: starting the device; setting control parameters; controlling operation; and finishing control. The invention simultaneously utilizes four physical measures to improve salting efficiency.

The invention discloses a method using a nuclear magnetic resonance-displacement combined device to evaluate a tight oil filling process. The method has the advantages that a nuclear magnetic resonance device is operatively connected with a core holding unit to use the nuclear magnetic resonance technology to online monitor a tight sandstone displacement process; the method uses fluorocarbon oil which does not contain a hydrogen signal to displace a core rich in formation water (containing the hydrogen signal), the volume of water which can be detected by the nuclear magnetic resonance is reduced constantly along with the constant proceeding of the oil displacing water process, and the changing process showing that the formation water in pores is constantly displaced by the fluorocarbon oil by the process that the signal amplitude in nuclear magnetic resonance test T2 spectrum during an experiment is constantly lowered; experiment data is processed and analyzed after the experiment, and the processing and analyzing result is combined with geological conditions to comprehensively evaluate the filling process in the formation. The method has the advantages that the nuclear magnetic resonance test can be performed in the optional stage of the experiment, the core does not need to be taken out, the obtained experiment result tallies with actual situations, and help is provided fortight oil reservoir forming researches.

Aiming at the condition that primary line current and voltage are not easily monitored by a sensor due to high voltage and large current when a high voltage circuit breaker works online, the invention provides an online monitoring method and an online monitoring device of a high voltage vacuum circuit breaker. The method comprises the steps of: using a displacement sensor directly connected with a moving contact of the high voltage circuit breaker to collect a stroke signal of the moving contact; calculating characteristic points on a stroke curve through a series of filtering and correction; and analyzing the characteristic points to calculate relevant parameters so as to judge the work condition of the circuit breaker online. The online monitoring method and device provided by the invention effectively monitor the high voltage circuit breaker online and can resist the monitoring environment of high voltage and large current. As the displacement sensor directly connected with the moving contact of the circuit breaker is just used as a unique signal collecting device in the invention, the problem of difficulty in implementation and high cost caused by the fact that high voltage resisting voltage or current sensors are needed to be used on a primary side line is solved.

The invention discloses a surface defect detection algorithm based on machine vision. After images of an object surface are collected, an extreme value filter difference algorithm is adopted for massive defects, and a linear reinforced detector algorithm is adopted for scratch defects. According to the algorithm, the online detection requirement can be met by adopting conventional hardware configuration, and the characteristics of good real-time performance and quantitative production line operation can be achieved; and the characteristics of defect shape and the like are taken into consideration, so that a good defection effect is achieved, and the method is applicable to various different searches can be reinforced. The algorithm can overcome instability, non-qualified production and lowefficiency state of existing surface defect vision detection technology.

The invention discloses a residual battery capacity detection method based on a simplified least square support vector machine. The method includes establishing a basic model of influence factors influencing the residual battery capacity; pre-processing original data; normalizing the pre-processed data entirely; selecting kernel function to establish a least square support vector machine mathematical model; inputting the normalized data into the least square support vector machine mathematical model, adopting part of data to serve as training samples, adopting the rest as test samples, and outputting and acquiring the data sequence predicating result, namely the estimated residual battery capacity; setting parameters of the kernel function; adopting a manner of crossed validation to perform parameter optimization on the parameter of the model; comparing the acquired residual battery capacity with the actual residual battery capacity, and figuring out the error between the estimated value and the actual value; judging whether the estimated error is smaller than the threshold or not; if the estimated error is smaller than the threshold, outputting the predicating result; if not, performing parameter optimization once again. The method has the advantages of low hardware cost and high detection accuracy.