35results about How to "Suitable for online monitoring" patented technology

The invention relates to the technical field of wind power generation, in particular to a wind turbine generator set drive system fault early-warning method. A temperature signal and an acceleration magnitude of key parts of the wind turbine generator set drive system are utilized to monitor the drive system of the wind turbine generator set. The method includes the steps of firstly acquiring practical temperature values T(t) of all measurement points and the vibration acceleration value a(t) of the drive system, then calculating the kurtosis index value of the vibration acceleration and the average temperature value of the wind turbine generator set, comparing the obtained parameters with the preset threshold values, giving an alarm when the parameter exceeds the threshold value, and determining the health condition of the wind turbine generator set drive system by comparing the temperature and the kurtosis index value with the threshold values. The method can improve the fault early-warning accuracy rate, has promotion effects on shutdown protection and fault early-warning of the wind turbine generator set and can reduce shutdown time caused by fault judgment.

The invention relates to a detection method and a test device for an impact damage of a composite material laminate, belonging to the technical field of health monitoring of composite materials. The device comprises the composite material laminate (1), a fiber grating strain sensor (2), a transmission fiber (3), a fiber grating demodulation instrument (4), data storage and analysis software (5), a computer (6) and an impact device (7), wherein the impact device (7) comprises a track fixing bracket (8), a falling track (9), a fixed base (10), a falling mass block (11) and an impact head (12). According to the invention, the online monitoring can be implemented, and the detection result of the size of the impact energy can be acquired. The method provided by the invention can provide the detection result of a former impact position even if no damage is caused by the impact; and however, the ultrasonic C-scan method and the X-ray method cannot locate the impact position under the same situation.

The invention discloses an open type long optical distance CO and CH4 online testing instrument which comprises a host box and an open type long optical distance system, a DFB (distributed feedback) semiconductor infrared laser with a center wavelength of 2334nm and a corresponding laser current control and temperature control circuit and a signal generating circuit are arranged in the host box, the host box is also provided with an off-axis parabolic mirror and a photoelectric detector; a modulation signal generated by the signal generating circuit effects on the laser current control and temperature control circuit to tune the DFB (distributed feedback) semiconductor infrared laser to produce laser with the center wavelength of 2334nm for scanning CO and CH4 absorption spectrums, the laser is perpendicularly emitted into an open type long optical distance optical path, and is reflected by a corner cube reflector to return along the original optical path to the photoelectric detector to obtain the CO and CH4 gas absorption spectrums, spectrum signals are collected, and the column concentrations of CO and CH4 gases can be calculated by inversion by a multispectral fitting algorithm, and are displayed and managed on an upper computer.

The invention discloses a method and device for detecting chlorophyll of a coastal zone water body in situ through a double optical path method. According to the method, the concentration of chlorophyll alpha is detected on line on the basis of a fluorescence method detection principle by directly measuring the fluorescence intensity; the device is composed of a light source module, a measuring module, a reference module and a signal processing module. Under excitation of an LED light source, the intensity of fluorescence emitted by the chlorophyll is measured, and the chlorophyll concentration of the coastal zone water body to be detected is calculated through a linearly dependent coefficient calculated by a system model and a compensation value for correcting yellow matter CDOM. The device can quickly detect the concentration of the chlorophyll in the water body on site in real time in a large area and is small in weight and size, convenient to carry, high in accuracy and sensitivity, easy to operate, low in cost and capable of being applied to multiple detection fields.

The invention discloses an on-line monitoring method for large-scale wind power tower drum structure stress and belongs to the field of structure health monitoring. Since wind power tower drums are large in size and are located in harsh environment, traditional methods for measuring structure stress with strain gages require more strain gages, and the strain gages are not suitable for use in wind power tower drum structure stress monitoring methods due to the fact that the strain gages cannot be located in harsh environment for a long time. According to the on-line monitoring method for large-scale wind power tower drum structure stress, on the basis of the shaking characteristic of a wind power tower drum, shaking is divided into a shaking balance position and shaking amplitude around the balance position, the shaking balance position and the shaking amplitude correspond to mean stress and stress amplitude in alternating stress respectively, and a relationship between shaking and stress is established, so that structure stress of the wind power tower drum can be reflected by monitoring shaking of the wind power tower drum, and the problem that methods for measuring stress with strain gages are limited by structure sizes and work environment of wind power tower drums is solved. Besides, the on-line monitoring method is convenient, practical, and applicable to on-line stress monitoring of large-scale wind power tower drum structures.

The invention relates to an on-line detecting method for delaying the coking of a furnace tube in a radiation chamber of a coking heating furnace, belonging to the technical field of automatic control of heating furnaces. The method is characterized in that the furnace tube is segmented according to the tube wall temperature measuring position and the water injection position of the heating furnace; process variables which are actually measured are collected, the total heat transmission resistance and the convection heat transmission resistance in different positions of the furnace tube of the heating furnace are obtained by on-line computation through process calculation and mathematical models such as heat transmission, reaction, and the like in the furnace tube of the heating furnace, and then, the coking thicknesses of the furnace tube in different positions are determined. The observed coking result can provide reference for production operation and decoking so as to improve the security and the economical efficiency in the process of the operation of devices. On the basis of the method, the relationship between the coking rate and each operating parameter of the furnace tube can be researched, the coking rate can be forecast, and reasonable controlling and optimizing methods are designed to delay the coking of the furnace tube.

The invention provides an electromagnetic tomography nondestructive inspection device for severe fault of a rail and a method thereof. The inspection device comprises an L-shaped array sensor, an electromagnetic tomography nondestructive inspection case, a fault detection monitoring and recording computer and a fault detection monitoring liquid crystal panel, wherein the electromagnetic tomography nondestructive inspection case comprises a power driving circuit, an excitation direction control circuit, an excitation current distribution VCCS array, an excitation signal distribution amplification circuit, an orthogonal program control two-channel DDS excitation signal generator, a bus, a system power supply, an FPGA synchronous control circuit, a preposed signal conditioning circuit, a signal digital demodulation FPGA chip, an embedded system, a communication interface and a liquid crystal display module. The device and the method can ensure on-line inspection of rail fault inspection along with train operation, and is convenient for discovering the condition of serious fault of the rail with severe potential danger to rail transportation in time.

The application discloses a device and a method for detecting material mixing uniformity by means of near-infrared technology based on MEMS(micro-electro mechanical system), belonging to the technicalfield of material mixing uniformity detection. The system comprises a window structure and a near-infrared spectroscopy based on the MEMS, wherein the window structure is installed on the side wall of a mixing tank, and the near-infrared spectroscopy is installed at the outer side of the window structure. The method for detecting the material mixing uniformity of the mixing tank comprises the following steps: 1, detecting the mixed material in the mixing tank in real time through the window structure by using the near-infrared spectroscopy based on the MEMS, and continuously carrying out spectral acquisition to obtain spectral variables so as to further obtain a plurality of absorbances A; 2, calculating and analyzing the absorbances A; 3, drawing a trend chart according to the analysis results obtained in the step 2; 4, analyzing the tendency chart, and if the curve of the tendency chart is lower than a uniformity limiting value (MBSD value is equal to 0.000035), judging that the material reaches a uniform state.

The invention discloses a device for measuring the shade number of an automatic darkening welding filter, comprising a laser, a photoelectric detector and a signal processing unit, wherein laser light emitted by the laser is received by the photoelectric detector after passing through the filter and then converted into an electric signal; and the electric signal is processed by the signal processing unit to obtain the shade number of the tested filter, wherein the wavelength of the laser light is 532 nm; and the computational formula of the signal processing unit is N=B+klog10I, wherein N is the shade number, I is a current or a voltage, and B and k are the parameters of the test system. The invention also discloses a method for measuring the shade number of an automatic darkening welding filter.

The invention discloses a method for monitoring the three-dimensional temperature and thermal stress of an ultra-supercritical steam turbine rotor in real time. The method comprises the steps that a calculation formula for the temperature and the thermal stress of a monitoring point of the steam turbine rotor is expressed in a Green function mode according to the characteristics of heating of an ultra-supercritical steam turbine in the running process and an equation for heat conduction in a three-dimensional object, the Green function is calculated in an off-line mode by using a finite element method, and after the actual structure shape of the steam turbine and the cooling steam working state of the steam turbine are accurately simulated and are processed through various precision improvement methods, the temperature and thermal stress distribution are rapidly and accurately calculated by using the Green function. The obtained calculation result is quite close to the finite element calculation result, ideal calculation accuracy is achieved, a model is simple, calculation is rapid, information of changes of the temperature and information of changes of the thermal stress at any positions in the ultra-supercritical steam turbine rotor can be accurately monitored in real time, the overstressing phenomenon is avoided, safety of the steam turbine in the running process is protected, starting, shutdown and variable-load running of the steam turbine are guided, and economy of the steam turbine in the running process is improved.

The invention discloses a kernel learning monitoring method for the penicillin production process under unequal-length batch conditions. The kernel learning monitoring method is used for product quality on-line monitoring under the unequal-length batch conditions in the penicillin production process. A kernel learning method based on support vector data description is utilized for building an effective nonlinear monitoring model, the problem caused by unequal-length batches in the penicillin production process is solved, and on-line monitoring efficiency and performance of the penicillin production process are improved, so that the penicillin production process is more reliable, and penicillin quality is more stable.

The invention discloses a novel method which is capable of detecting citric acid fentanyl anaesthetic quickly and sensitively. The method takes ionic migration spectrometry technology as basic detection technology, a positive ion mode is adopted, and a qualitative and semi-quantitative analytical method for the citric acid fentanyl anaesthetic detected by the ionic migration spectrometry is created. Coupons containing different citric acid fentanyl anaesthetic samples are sent to be detected in a thermal desorption sample injector of an ionic migration spectrometry detector after solvent of the coupons is dried, detection signals are obtained, and a qualitative and semi-quantitative analysis is carried out. A sample measurement detection limit of the citric acid fentanyl anaesthetic can reach 50 parts per billion (ppb), a quantitative analysis range is between 1ng and 60 ng, a created standard curvilinear equation is that y is equal to 1.3451 plus 0.4044 x, and a correlation coefficient r is larger than 0.99. The detection method is simple, convenient to achieve, quick, high-efficient and good in reliability, and can be used for quick detection of the citric acid fentanyl anaesthetic in clinical diagnosis of a patient or on a crime scene.

The invention discloses a multi-working-condition process monitoring method with continuous learning capability and improved PCA, and relates to the field of industrial monitoring and fault diagnosis.The method comprises the following steps: sequentially collecting process data of an industrial system under normal working conditions to form a training set; training the initial working condition by utilizing principal component analysis, and calculating an initial projection matrix; constructing an optimization function according to an elastic weight consolidation method and a principal component analysis principle, and training subsequent working conditions to obtain an optimal projection matrix; constructing monitoring statistics and calculating a threshold value; collecting process dataunder the real-time working condition of the system as a test sample, calculating statistics of the sample by utilizing the current training model, comparing the statistics with a threshold value, and judging whether a fault occurs or not. The weight matrix is determined by combining the system principle and priori knowledge, the interpretability of the method is improved, the algorithm is simple, the calculated amount is small, implementation is easy, and the method can be widely applied to the fields of chemical engineering, processing and manufacturing, large thermal power plants and the like.

A torque sensor based on a magnetoelastic effect disclosed by the present invention comprises a stepped shaft, the stepped shaft comprises an elastic shaft and a fixed disc, the side surface of the elastic shaft is provided with an amorphous alloy detection sheet, the periphery of the elastic shaft is uniformly distributed with a plurality of coil supports, the coil supports are fixed on the fixed disc, and the coil supports are fixed on the fixed disc. A magnet exciting coil is arranged on the coil bracket; a circuit board is arranged above the coil bracket; according to the invention, the magnitude of the torsional force is detected based on the inverse magnetostrictive effect, and the device has incomparable advantages compared with other measurement methods, is simple in installation and maintenance, strong in anti-interference capability, good in durability, capable of realizing non-contact measurement, easy to develop towards miniaturization, and especially suitable for online monitoring of torque, and in addition, the magnetoelastic non-contact torque measurement is adopted, so that the measurement accuracy is improved. The control error caused by the reduction of the system rigidity can be effectively reduced.

It is an environmental water chemical oxygen demand (COD) measurement method, particularly based on nanometer photocatalysis principle to precess the water COD measurement method. Its main feature is using specialized preparation nanometer titanium dioxide membrane electrode as the working electrode to establish three electrodes system, and after photocatalysis, generating organic matter of the hole oxidation samples, so establishing responsive current in the detection loop circuit, and simultaneously, detecting the UV intensity arrived at membrane electrode, to calculate the response current generated by the unit light intensity correlated to the COD in samples. Using the unit light intensity response current, it can calculate the COD value in the samples. The method is mainly applicable to the water quality monitoring station, the monitoring laboratory, the sewage metering station, the sewage treatment plant, the water plant, the sewage plant, the water sector monitoring points, and other units. The method has rapid detection, no secondary pollution, low maintenance, high stability and precision, strong anti-jamming ability, not sensitive to chloride ion, and other features.

The invention relates to a rotating machinery frequency-doubled fault diagnosis method based on a three-dimensional holographic difference spectrum. The method comprises the following steps of: firstly, determining a measuring point with the most sensitive fault response on a unit shaft system, analyzing the main excitation frequency and amplitude variation trend of the measuring point by utilizing a frequency spectrum waterfall chart or a characteristic trend chart, and judging whether the fault type is a frequency-doubled fault or not by combining a rule; then calculating a double-frequencythree-dimensional holographic spectrum matrix of the shaft system in a normal state and a plurality of fault states, and constructing a double-frequency three-dimensional holographic differential spectrum matrix corresponding to the fault states on the basis; and finally, drawing a frequency-doubled three-dimensional holographic differential spectrogram of the shaft system in a plurality of faultstates to obtain a pure fault frequency-doubled ellipse of the whole shaft system in a fault development process and change characteristics of characteristics of the pure fault frequency-doubled ellipse, determining a fault source position by combining the characteristics, and carrying out qualitative diagnosis on the frequency-doubled fault. According to the method, the difference of the fault response signs is represented from time and space dimensions, and key diagnosis information is provided for accurately distinguishing rotor cracks and misalignment faults.

The invention provides an online quantitative monitoring method of a misalignment fault of a rigid rotor of a rotating machine. The method comprises the steps of: firstly mounting a key phase mark anda key phase sensor on the rotor, and mounting a displacement measurement bracket and an eddy current sensor at a free end of a driven shaft; then, collecting the time length of a certain number of key phases to serve as a period, calculating a normal vector of an end face of the free end of the rotor to serve as a reference normal vector by using a signal mean value of the eddy current sensor atvarious key phase moments within a first period time, and then calculating the normal vector of the end face of the free end of the rotor by using the signal mean value of the eddy current sensor within the subsequent period; and finally, calculating an included angle between a real-time normal vector and the reference normal vector to characterize the misalignment quantity of the rotor. By adopting the online quantitative monitoring method provided by the invention, the misalignment condition of the rigid rotor in an operation phase can be monitored in real time, the hot state alignment condition of the rotor can be monitored, furthermore, the online quantitative monitoring method is suitable for the online monitoring of the rigid rotor, can be promoted and used in enterprises, meets thedevelopment requirements of intelligent rotors, and has a wide application prospect.

The invention discloses a method for quickly detecting a tri-ethanolamine ester. During detection, a high performance liquid chromatograph is applied to the method. The method comprises the following steps: (1) preparation of test sample sliquid: precisely weighing a tri-ethanolamine ester sample, determining the volume by a mobile phase, and preparing the test sample solution after filtering a micro-aperture filter membrane; (2) measurement: absorbing the test sample solution which is 2-3 times of a quantitative loop, injecting the solution into the high performance liquid chromatograph for measuring, and quantifying by an area normalization method to realize measurement. The detection method is characterized in that the tri-ethanolamine ester is separated and analyzed qualitatively and quantitatively by using a high performance liquid chromatography method according to different polarities of single ester, di-ester and tri-ester in the tri-ethanolamine ester. The method has the advantages that a high performance liquid-ultraviolet detector which is commonly used in general laboratories and relatively low in price is utilized so that the measuring cost is low; the method is convenient to operate and the measuring time is short; all components can reach a good separating effect, and thus the method is applied to online monitoring of industrialization.

The invention discloses an elevator health status detection device and method; the device includes a vibration detection component, a power measurement component, a load measurement component, a GPRS / 4G gateway, a central server, a data processing module and the like. The invention provides key data such as vibration parameters, balance coefficients, and transmission loss coefficients of elevator operation, as well as data such as conventional fault alarms, and comprehensively evaluates the health status of the elevator. The health data provided by the device of the present invention can help maintenance personnel prescribe the right medicine to eliminate potential safety hazards; it can also assist elevator manufacturers to analyze elevator quality and improve manufacturing and design levels.

The invention discloses an online pretreatment device for VOCs (volatile organic compounds) in water. The online pretreatment device for the VOCs integrates the functions of collection, enrichment, thermal desorption, back-blowing sample introduction and the like into a whole. The online pretreatment device can be directly connected with a gas chromatographic instrument for completing online monitoring of the volatile organic compounds in the water. The device adopts modular structural design, and the different processes are completely by valve switching. The device can automatically perform waste liquid discharge and cleaning of a sample pipe after automatic pretreatment, the purification of a pipeline and the online aging of an adsorption column can be simultaneously performed, the mutual interference is avoided, and the analysis period is shortened. The device has the advantages of simple structure, simplicity in operation, economy and practicality and does not need an additional water removing device and an automatic sample introduction device, and the device is very suitable for online continuous monitoring of the VOCs of water quality.

The invention discloses an adaptive fault monitoring method based on a + / -x sigma boundary interval model. The method comprises a preparation stage, a learning stage and a monitoring stage. Discrete boundary model interval points are formed by calculating a sample mean value and a standard deviation in real time, the discrete boundary model interval points are sequentially connected to form upperand lower boundaries of a learning stage, a boundary model finally used for monitoring is generated according to a preset boundary fusion algorithm, and finally fault monitoring is performed accordingto a pre-designed criterion strategy for faults. According to the technical scheme, the adaptability is good; the invention is simple, easy to understand, suitable for engineering popularization, small in calculated amount and suitable for online monitoring; the fault monitoring accuracy and reliability can be greatly improved, and the data utilization rate is improved; use cost is low.

The invention relates to a beta particle three-pole ionization dust sensor comprising a shell, a reference cavity and a measuring cavity, wherein the reference cavity and the measuring cavity are arranged in the shell in parallel, the reference cavity is formed by sealing a peripheral wall, an upper end cover and a lower end cover, the measuring cavity is formed by enclosing a peripheral wall, the peripheral walls of the opposite position of the reference cavity and the measuring cavity are fixedly connected to form a public cathode, the peripheral wall of the reference cavity is provided with a reference anode which is insulated with the public cathode, the peripheral wall of the measuring cavity is provided with a measuring anode which is insulated with the public cathode, both ends of the measuring cavity are provided with an air inlet and an air outlet, the public cathode is provided with a beta source support, and beta sources are coated on two end surfaces of the beta source support corresponding to the reference cavity and the measuring cavity respectively. The beta particle three-pole ionization dust sensor solves the problem that a filter film is needed by a beta particleabsorption method to measure dust, can uninterruptedly monitor dust in a long period and greatly reduce maintenance workload; and the sealed reference cavity solves the problems of signal drift and zero-point automatic correction of a beta particle ionization method, has high measuring accuracy and good long-time stability and is suitable for on-line monitoring.

The invention provides a unidirectional thyristor full state monitor, which is characterized in that the monitor comprises a conduction angle indication circuit, a power supply circuit , a power supply switching circuit, a high-frequency signal generation circuit, a unidirectional thyristor working state detection and alarm circuit, an overheat detection circuit and an infrared alarm circuit. The advantages are that during the period when a unidirectional thyristor bears a reverse voltage, power is input on the spot automatically without complex wires, so that the unidirectional thyristor full state monitor is especially suitable for large number of middle / large-power electric power conversion devices; and by outputting a high-frequency signal to the two ends of the unidirectional thyristor to enable power supply transformer coils connected to cathode and anode of the unidirectional thyristor to generate enough inductive reactance under a uncharged state, working current of the monitor is greatly reduced, and the monitor is allowed to realize miniaturization, and can carry out full state detection on the unidirectional thyristor, so that the monitor makes full state monitoring of a large number of unidirectional thyristors in the middle / large-power electric power conversion devices practicable and feasible.

The invention discloses a method for quickly detecting a tri-ethanolamine ester. During detection, a high performance liquid chromatograph is applied to the method. The method comprises the following steps: (1) preparation of test sample sliquid: precisely weighing a tri-ethanolamine ester sample, determining the volume by a mobile phase, and preparing the test sample solution after filtering a micro-aperture filter membrane; (2) measurement: absorbing the test sample solution which is 2-3 times of a quantitative loop, injecting the solution into the high performance liquid chromatograph for measuring, and quantifying by an area normalization method to realize measurement. The detection method is characterized in that the tri-ethanolamine ester is separated and analyzed qualitatively and quantitatively by using a high performance liquid chromatography method according to different polarities of single ester, di-ester and tri-ester in the tri-ethanolamine ester. The method has the advantages that a high performance liquid-ultraviolet detector which is commonly used in general laboratories and relatively low in price is utilized so that the measuring cost is low; the method is convenient to operate and the measuring time is short; all components can reach a good separating effect, and thus the method is applied to online monitoring of industrialization.

The invention relates to a structure for monitoring an etching back depth and a monitoring method. According to the monitoring structure, the structure is a groove that is manufactured at a wafer non-element zone and has a trapezoidal surface cross section. The monitoring method is characterized in that the trapezoidal groove is used to obtain a distribution inflection point of a sediment after the etching back process; and according to the inflection point position, whether the etching back depth meets the requirement or not can be determined. According to the monitoring method, only simple auxiliary equipment is needed. Therefore, compared with the original monitoring means, the monitoring method enables the cost to be substantially lowered; the operation is simple and the result is accurate; and the method is suitable for assembly line type on-line monitoring. In addition, the monitoring structure only occurs at the intermediate process of the whole DMOS device manufacturing technology and thus no negative effect is caused on the finished product. The structure has the high practicability.

The invention provides an electromagnetic tomography nondestructive inspection device for severe fault of a rail and a method thereof. The inspection device comprises an L-shaped array sensor, an electromagnetic tomography nondestructive inspection case, a fault detection monitoring and recording computer and a fault detection monitoring liquid crystal panel, wherein the electromagnetic tomography nondestructive inspection case comprises a power driving circuit, an excitation direction control circuit, an excitation current distribution VCCS array, an excitation signal distribution amplification circuit, an orthogonal program control two-channel DDS excitation signal generator, a bus, a system power supply, an FPGA synchronous control circuit, a preposed signal conditioning circuit, a signal digital demodulation FPGA chip, an embedded system, a communication interface and a liquid crystal display module. The device and the method can ensure on-line inspection of rail fault inspection along with train operation, and is convenient for discovering the condition of serious fault of the rail with severe potential danger to rail transportation in time.

The invention discloses an on-line monitoring method for large-scale wind power tower drum structure stress and belongs to the field of structure health monitoring. Since wind power tower drums are large in size and are located in harsh environment, traditional methods for measuring structure stress with strain gages require more strain gages, and the strain gages are not suitable for use in wind power tower drum structure stress monitoring methods due to the fact that the strain gages cannot be located in harsh environment for a long time. According to the on-line monitoring method for large-scale wind power tower drum structure stress, on the basis of the shaking characteristic of a wind power tower drum, shaking is divided into a shaking balance position and shaking amplitude around the balance position, the shaking balance position and the shaking amplitude correspond to mean stress and stress amplitude in alternating stress respectively, and a relationship between shaking and stress is established, so that structure stress of the wind power tower drum can be reflected by monitoring shaking of the wind power tower drum, and the problem that methods for measuring stress with strain gages are limited by structure sizes and work environment of wind power tower drums is solved. Besides, the on-line monitoring method is convenient, practical, and applicable to on-line stress monitoring of large-scale wind power tower drum structures.