308results about How to "Real-time online detection" patented technology

The invention provides an online identification method for a network multi-step attacking intention, wherein the method extracts characters of the received security incident warning message, carries out a pattern matching based on a character and attacking action happening sequence pattern collection. If the pattern matching is success, degree of association between fore and aft security incident warning messages according to the pattern matching is computed, and the network multi-step attacking relation between the security incident warning messages is recorded based on a compared result of the degree of association and a threshold value thereof. The invention filters the security incident with pattern matching but without association relation by computing the degree of association, and the real time online detect is realized by real time reporting a matching process and result.

The invention discloses a cover defect detection method based on image processing. The method comprises steps that S1, an excircle contour radius and glue injection zone width of a standard image are acquired in a man-machine interaction mode; S2, edge detection on a to-be-detected cover image is carried out to determine an edge image; S3, edge tracking of the edge image is carried out to acquire edge points, edge fitting of the edge points is carried out to acquire a fitting circle center position and a fitting radius; in combination with the glue injection zone width of the standard image, the fitting circle center position and the fitting radius, the glue injection zone is determined; and S4, cover defect detection and identification are carried out. Through the method, properties of short time, high efficiency and good timely detection effect are realized, and the excellent detection effect is acquired in an actual production line.

The invention discloses a laser probe component analyzer. The laser probe component analyzer comprises a Nd. YAG (neodymium-doped yttrium aluminum garnet) laser system, a wavelength tunable laser system, an aerosolization system, a spectrum collection system and a computer, wherein the aerosolization system is used for producing an aerosol from a solution to be analyzed; the Nd. YAG laser is used for producing a high-energy laser beam and focusing the laser beam on the aerosol to excite plasma flame; the wavelength tunable laser system is used for producing a pumped laser beam with required resonance excitation wavelength and focusing the laser beam on the plasma flame to produce a resonance excitation effect; and the spectrum collection system is used for collecting characteristic spectral signals produced after resonance excitation, converting the spectral signals to electric signals and then transmitting the electric signals to the computer to analyze substance components in the solution. The system can overcome the shortcomings of the prior art, greatly improve the detection sensitivity of an LIBS (laser induced breakdown spectroscopy) technology in detection of trace elements in the solution, achieve the requirements of actual applications in the fields of environmental monitoring and the like and simultaneously perform online precise qualitative and quantitative analysis of substances in a liquid.

The invention relates to a capacitance tomography ice-thickness measuring device and a measuring method. The invention is characterized in that a multi-electrode capacitance sensor is designed to be integrated with a signal collecting and data treating module; the multi-electrode capacitance sensor is formed by equally arranging a plurality of capacitance electrodes along both radial and axial directions on the circle surface of a hollow insulation pipe, and metal shield tube is sheathed at the outer surface of the capacitance electrode; the signal collecting and data treating module integrates a CPLD switch array circuit, a micro-capacitance measuring circuit, an SCM control circuit, a data storing and sending circuit into a whole. When in use, the device is vertically arranged in the water area or ice layers to be measured, and a power supply is switched on to carry out the capacitance value measuring and storing; after measuring, the data is input into a computer and a capacitance tomography calculation drawn by a two-dimensional section three-body is adopted to carry out computer imaging process so as to calculate the thickness of the ice layers. The invention has simple structure, low manufacturing cost and high automatization level. The invention can be applied to an automatic and continuous measuring to various ice layer thicknesses and a generation and disappearing process of frozen earth layers.

The invention provides a laser detection device for monitoring information inside of the industrial kiln with heavy dust and / or heavy smoke in it. The inventive device comprises a laser device for generating laser light to get into the kiln; a vidicon which is installed on the kiln body for capturing image produced from laser light generated by the laser inside of the kiln, wherein the image includes laser pattern produced during laser light passing through dust and / or smoke. The invention is characterized in that the inventive device can detect information inside of the kiln online, such as operation situation of device, material feeding process and material situation, by means of laser tracing and camera shooting. The invention also provides a laser monitoring method for getting information inside of the kiln.

The invention provides a Lasso (Least absolute shrinkage and selectionator operator)-based anomaly detection method and system. The method comprises the steps of establishing an anomaly detection model; determining model parameters through a Lasso algorithm; inputting to-be-detected data and obtaining a predicted value; comparing the predicted value with a preset threshold; and judging whether anomaly data exists or not. According to the method and system, the accuracy of judging a network anomaly behavior is improved on the basis of ensuring detection speed in combination with excellent characteristics of quick parameter estimation and accurate regression fitting of an Lasso; a sparse representation method is used in a data processing process, so that data dimensions are greatly reduced, model detection time is shortened, higher detection speed is achieved, and real-time online detection can be realized; and network data and host data can be both monitored, the data can be processed in batches in a matrix form, and hardware is adopted for realizing a linear regression method, so that the algorithm execution speed is greatly increased and quick, efficient and accurate anomaly detection is realized.

The invention relates to a railway vehicle bolt looseness detection method and system. The railway vehicle bolt looseness detection method comprises the steps: S1, acquiring a plurality of railway vehicle key part images at bolts under different illumination conditions; S2, cutting each image to a set size; carrying out manual marking on each image; S3, establishing and training a key part positioning network; S4, setting a cutting layer; S5, establishing and training a bolt looseness detection network; and S6, performing image testing. The railway vehicle bolt looseness detection system comprises a multispectral time-sharing light source, an image acquisition device, an image processing module, a key part positioning network building and training module, a cutting layer setting module, a bolt looseness detection network building and training module and a storage and test module. The railway vehicle bolt looseness detection method and system can monitor the bolt state of a key part, can give the specific position information of the loose bolt, are high in the detection speed, can achieve real-time online detection, can improve the detection efficiency, and can improve the detection accuracy.

The invention discloses a mobile phone curved glass typical defect online detection device and method. The online detection device comprises a work-piece transmission device, wherein the work-piece transmission device comprises a transmission guide rail, a plurality of transparent objective tables, a motion control card and a motor, and a rotating table; a plane part detection device, a curve edgedetection device and a R angle part detection device for forming three stations are orderly arranged along a transmission direction of the work-piece transmission device; the online detection methodperforms previous training learning on the background and scratch, burning, edge breakage, pit and like typical defect sample images through a convolutional neural network, and original images collected at three stations are divided into multiple sub-images consistent with the size of the training sample, the segmented sub-images are quickly identified, thereby judging whether the original imageshave defects or judging the defect variety. The scratch, burning, edge breakage, pit and like typical defect sample images can be online detected in real time, and the detection device has the features of being fast, efficient, precise and stable.

The invention relates to an element measurement method based on laser-induced plasma emission spectral standardization, which is used for element concentration detection.The method comprises the following steps: firstly converting the strength of characteristic spectral lines to the standard plasma temperature and the density ratio of the number of ions to the number of atoms of elements to be measured; then after the strength of the characteristic spectral lines is converted to the standard plasma temperature and the standard density ratio of the number of the ions to the number of the atoms of the elements to be measured, using the sum of the strength of the characteristic spectral lines of the atoms and the ions of the elements to be measured to compensate the density fluctuation in the total particle number in plasma caused by the change in ablation mass; and finally establishing an equation among the concentration of the elements to be measured, the strength of the characteristic spectral lines after conversion and the strength sum of the characteristic spectral lines. When the measurement is performed on a sample with unknown components, the concentration of the elements to be measured can be obtained according to a calibration model by spectral standardization. As the calibration model considers the ablation mass and the impacts of the temperature and the density ratio of the number of the ions to the number of the atoms of the plasma on measurement signals, the fluctuation of the spectral strength caused by the fluctuation of physical parameters of the plasma is compensated and the measurement precision is greatly improved.

Red semiconductor diode laser in 650- 675nm wavelength as scattered light source for aerosol particles passing through collimating lens, adjustment of activizer, cylindrical lens A and B forms horizontal, prolated facula on focal plane. Two beam: o light and e light with equal energy are obtained after light passes through yttrium vanadate crystal positioned behind cylindrical lens B. aerosol particles in atmosphere passes through two faculas formed by o light and e light one by one, generating scattered light, which collected by a half ellipsoid mirror forms two strong scattering peaks. Avalanche photodiode transfers received signal to electric system. The invention detects particle distribution in diameter of 0.5-10micros in aerodynamics and content of particles possessing biology characteristic.

The application provides a high-speed train wheel set dynamic detection system. A detection signal of the situation of a wheel set tread is acquired through an on-rail detection device which is installed on two opposite steel rail inner sides, the detection signal is transmitted by a rail side transferring device which is connected with the on-rail detection device to an on-site processing device, the detection signal is processed by a PC in the on-site processing device so as to determine a current detection result of a train wheel set, the current detection result is displayed, the running situation of a train can be adjusted by the working personnel in time according to the display content, and the running safety of the train can be guaranteed; the on-rail detection device is arranged on the inner sides of two opposite steel rails, when the on-rail detection device is installed, the steel rail does not need to be destructively modified; moreover, the shock resistance of relevant parts inside the on-rail detection device is good, and relevant information of the train can be acquired when the train runs at a high speed; in addition, the entire online detection process of the detection system for the train wheel set is automatically realized, so that the detection efficiency is improved.

The invention relates to a three-core power cable phase current detection method based on magnetic sensors and belongs to the current detection technology field for electromagnetic measurement. The method comprises steps that the three magnetic sensors with intervals of 120 DEG are employed, magnitudes of tangential components of a surface magnetic field of a three-core power cable along the cable circumferential direction are measured; the three sensors are collimated with cores of A, B and C phases of the three-core power cable; a de-coupling algorithm is employed, and current magnitudes and directions of the cores of the A, B and C phases of the three-core power cable can be directly acquired according to values outputted by the three magnetic sensors and circumferential geometric dimensions of the three-core power cable. Through the method, change of the surface circumferential magnetic field of the three-core power cable is detected, effective detection on current of each core of each phase in the three-core power cable can be realized, a problem that a traditional inductive current measurement device can not measure current of each phase of a three-core power cable in the prior art can be solved, and real-time online detection on current of each phase of the three-core power cable can be realized on the basis of the method.

The invention provides a detection system and a detection method of friction elevator rope groove wear loss, and belongs to the detection system and the detection method of the elevator rope groove wear loss. The system comprises an upper computer, a laser displacement sensor, a collector, a direct-current power source module and a sensor support. The laser displacement sensor is installed on the sensor support, and the output end of the laser displacement sensor is connected with the collector. An encoder is installed on a roller of an elevator, the output end of the encoder is connected with an Ethernet, and the output end of the collector is connected with the input end of the upper computer through an interface of the Ethernet. The upper computer achieves real-time analysis of the on-line detection of the friction elevator rope groove wear loss and determines the wear loss conditions of different positions according the encoder. The detection system and the detection method have the advantages that the real-time quick on-line detection of the wear loss of a friction liner can be achieved, the friction liner needing to be replaced can be positioned precisely in real time, the working intensity of workers is reduced, the service life of a steel wire rope is prolonged, and the problem that real-time monitoring of the wear loss of the friction line cannot be achieved in a project is solved.

The electrical energy meter comprises following modules: the switching module for sampling voltages and currents in electrical network, the module for detecting open / short circuit of the current transformer, the module for measuring electrical energy, the harmonic analysis module, the amplitude analysis module, the phase analysis module, the judgement module of intelligent fault analysis, the data recording module, the stats display module, the data communication module, the clock module, the power source module and the parameter setting module. The invention realizes the integrated functions of measuring electrical energy, the network data transmission and the network communication basically. It is the all-electric type energy meter with various usages.

A single flowmeter type digital spraying system for a robot is composed of a feed pipeline, a feed back pipeline, an air pipeline and a control part, wherein the feed pipeline conveys a coating to the feed inlet of an automatic spray gun, and a digital flowmeter and a pneumatic proportional valve are connected in series in the pipeline; the feed back pipeline conveys the coating to a coating container from the discharge hole of the automatic spray gun, thereby realizing circulating feed; the air pipeline provides compressed air for various pneumatic elements and an electrical proportional valve is connected in series to the pipeline; and the control part is composed of an upper computer and a PLC (Programmable Logic Controller) controller, which are connected to the electrical proportional valve and the flowmeter, respectively. The system is capable of realizing real-time flow detection and closed-loop control of the automatic spray gun in a circulating feed mode, and also capable of remotely adjusting a coating pump, a stirrer and an automatic spray gun switch as well as atomizing air and fan width air; therefore, the system is especially suitable for the situations in which an inside-gun circulating mode is used for feeding, but the flow cannot be manually detected conveniently or flow decay is easy to occur.

The invention discloses a method for detecting position information of a patrol robot of a transformer substation through a mixed observation device. The method combines an initial position detection closed-loop control system, the mixed observation device, a model reference normalization algorithm, a fuzzy controller and a salient pole effect compensating controller to detect rotor position and velocity information of the patrol robot of the transformer substation accurately and effectively. The method can detect position and velocity information of the patrol robot of the transformer substation accurately and effectively.

The invention discloses a method for non-destructively detecting the average crystal grain size of a weld seam by utilizing weld seam characteristic guide waves and belongs to the field of non-destructive detection. The method comprises the steps of: sequentially distributing three sensor probes along the weld seam, wherein the three probes are away from one another by a certain distance; generating a single-audio signal by a function generator, exciting weld seam characteristic guide waves in the weld seam by a power amplifying module and an exciting sensor, respectively receiving guide wave signals excited by the first probe by using the second probe and the third probe as receiving sensors, and transmitting the guide wave signals to an oscilloscope; determining the amplitude values of the two receiving probes and calculating attenuation coefficients of the guide wave signals; and judging the average crystal grain size in the weld seam by calculating the attenuation coefficients. The method is capable of detecting the average crystal grain size of the weld seam without destructing the weld seam, and has the advantages of high efficiency, low cost and the like.

The invention relates to a method capable of measuring chemical oxygen demand (COD) and biochemical oxygen demand (BOD) in waste water simultaneously. The method is characterized by comprising the following steps of: sampling and measuring, namely, sampling the waste water, measuring a COD standard value and a BOD standard value of the water sample and acquiring near infrared spectrum data of the water sample at the same time; establishing models, namely, associating the COD standard value and the BOD standard value of the water sample with the near infrared spectrum data of the water sample by using software and then establishing PLS1 regression models of the COD and the BOD values respectively by using software; and measuring a COD value and a BOD value of unknown waste water at the same time, namely, retrieving the COD value and the BOD value of the unknown waste water through the established models. The method has the advantages of simultaneous measurement on the COD value and the BOD value of the waste water, convenient operation of detecting the COD value and the BOD value of the waste water by using the models established by the method, on-line detection, high detection speed, repeatability and precision, no secondary pollution and great improvement on the detection quality and the detection efficiency of the waste water.

The invention relates to a method for detecting seed vitality of cruciferae. In the condition without processing a sample, the concentration of sinapine is used as a vitality marker, the surface desorption atmospheric pressure chemical ionization mass spectrometry (SDAPCI-MS) is adopted, so that the content of the sinapine in the seed of the cruciferae is directly and quickly measured to judge the level of the vitality of the seed. According to the, the analysis speed is quick, the seed can be detected in batch without being damaged, the detected seed can also be used for agricultural production, and the quick and real-time on-line detection of quality of the seed of the cruciferae is realized.

The invention discloses a method for detecting pesticide residue on the surface of a navel orange based on a hyperspectral imaging technology. The method comprises the following steps: (1) collecting single-band spectral images of a to-be-detected navel orange at 11 characteristic wavelengths, wherein the 11 characteristic wavelengths respectively are 410nm, 431nm, 520nm, 637nm, 680nm, 690nm, 784nm, 880nm, 950nm, 967nm and 1020nm; (2) transforming the single-band spectral images in the step (1) into reflectivity images according to the linear relation of the grey value and the reflectivity of the single-band spectral images; and (3) calculating according to the formula so as to obtain the pesticide residue corresponding to each pixel point in the reflectivity images of the navel orange. The method can be used for detecting the distribution of the pesticide residue on the surface of the navel orange and is high in detection accuracy and short in detection time, and not only is the environmental pollution alleviated, but also the detection cost is also reduced.

The invention relates to a food quality testing system and method based on a laser ultrasound erosion mechanism; in the invention, a pulsed laser is used as a laser source and a capacitance ultrasound transducer is used as a receiving element, so as to build a testing platform for obtaining ultrasound longitudinal signals of food grains; the time-frequency characteristic parameters of the signalsare extracted by utilizing a wavelet packet transforming technology; a mathematical model of the food quality parameters is built based on the least square method; and the classification and evaluation of food quality are finally realized according to the national standards. The system and method related by the invention have the advantages of fast testing, accuracy, no damage, no contact, strongcapacity for resisting interference, high efficiency, no pollution and the like.

The invention discloses an on-line monitoring method of content of formaldehyde in environmental air and a device. The on-line monitoring method comprises measurement processes including a sampling process, a reaction process and a detection process of the formaldehyde in the environmental air. The method is characterized by comprising the following steps: converting formaldehyde in the environmental air into a formaldehyde solution and taking the formaldehyde solution as a liquid-phase sample to be detected; enabling the liquid-phase sample to be detected and acetylacetone to carry out derivatization reaction under the high-temperature condition to generate a yellow compound DDL, wherein absorption in a wavelength of 415 nm is the highest; enabling a solution to repeatedly reflect and absorb light in a total-reflection flow cell by using a total-reflection long-optical-path on-line flow cell; and calculating the content of formaldehyde to obtain the content of formaldehyde in the environmental air. The on-line monitoring device comprises a machine shell, a sampling module, a reaction module, a detection module, a solution conveying module, a control and data collection circuit anda display screen. Through the method and the device, the sensitivity and the detection limit of detection of formaldehyde are improved by the long-optical-path on-line flow cell; the method and the device are applied to on-line continuous monitoring of formaldehyde in the low-concentration environmental air.

The invention provides a near-infrared on-line detection method used in production process of a traditional Chinese medicine containing naringin. The method comprises the following steps: collecting a sample in the production process of the traditional Chinese medicine containing naringin, and acquiring a near-infrared spectrum of the sample; measuring the content of naringin in the sample by using the existing technology; establishing a detection model by using chemometrics software according to the near-infrared spectrum of the sample and the naringin content measured by using the existing technology, wherein the spectrum range of the near-infrared spectrum of the detection model is 1100-2300nm; and acquiring the sample to be detected, and measuring the content of naringin and the spectrum similarity degree by using the detection model. By adopting the near-infrared on-line detection method used in the production process of the traditional Chinese medicine containing naringin, the problems that a quality analysis method is low in efficiency and too many raw materials are wasted in the production process of the traditional Chinese medicine containing naringin are effectively solved.

The invention discloses a portable on-line device for detecting water pollutants. The water sample to be detected is introduced to a beam waist area converging Gaussian beams by adopting a stream guiding method, the average grain diameter and the particle number concentration of the micrometer particle pollutants in water are detected by a transmission fluctuation method, and signal acquisition and processing are carried out through a digital signal processor (DSP); the parallel beams emitted by a laser collimator are converged by a convex lens; the transmission light is converged by a receiving lens, is received by a light signal detector and is converted into electrical signals; a weak signal is connected with a signal acquisition device and a microprocessor after being amplified by an amplifier; the microprocessor is respectively connected with a liquid crystal display and a keyboard through an interface; a draft tube is a bent tube; a water inlet is connected with a one-way driving pump; a detection area is arranged on the beam waist area converging Gaussian beams; the water sample to be detected is introduced to the beam waist area converging Gaussian beams by the one-way driving pump; and below the detection area, the draft tube is provided with a water outlet. The device is light and portable, and can realize online and real-time detection for water pollutants.

The invention relates to a liquid refractive index real-time measuring device, wherein the lower end of the inside of a light-proof shell is provided with flat-plate image display glass, the thickness h of the flat-plate image display glass is 3-5mm, the incident plane of light is a frosted surface, the exit surface is an optical surface, a luminescent element and a CCD camera are arranged on the upper end of the inside of the shell, the output end of the luminescent element is linked with the frosted surface of the flat-plate image display glass through optical fibre, and the output end of the CCD camera is connected with a computer through a cable. A method which adopts the measuring device to measure the liquid refractive index is as follows: the optical surface of the flat-plate image display glass is soaked in a liquid to be measured; visible light is transferred on the frosted surface of the flat-plate image display glass through optical fibre, reaches the interface between the liquid to be measured and the flat-plate image display glass and is reflected on the frosted surface of the flat-plate image display glass to form a circular dark spot using an incident light spot as the centre of the circle; and the CCD camera converts the received circular dark spot to a digital signal and outputs the digital signal to the computer, and the computer calculates the refractive index of the liquid to be measured.

The invention provides a method for identifying sea cucumber drying modes and a method for monitoring sea cucumber quality change during drying by means of nuclear magnetic resonance.The methods are applicable to identifying of sea cucumbers prepared by different drying modes and real-time monitoring of the sea cucumber quality during drying.By the method for identifying the sea cucumber drying modes, through acquisition of nuclear magnetic resonance signals of sea cucumber samples subjected to hot air drying and natural airing treatment and different drying degrees of sea cucumber samples, transverse relaxation time spectrograms T2 and A2 and magnetic resonance imaging of the samples are obtained as main identifying and monitoring bases, so that aired sea cucumbers, dried sea cucumbers and different drying degrees of sea cucumbers are identified accurately and quickly.The methods are high in measurement result accuracy and short in consumed time, have no damage to the samples and can provide internal visualized information of the samples and provide reliable information for dried sea cucumber detection and sea cucumber quality change during drying.

The invention relates to the technical field of industrial automatic measurement, in particular to a cement raw material quality online laser detection device and method. By the adoption of the device and method, the technical problems that quantitative analysis of cement raw material elements is not accurate and real-time detection can not be achieved currently are solved; online detection of the compound constituents and ratio value of a cement raw material in a delivery pipe in an industrial field can be conducted quickly and accurately in real time, influences caused by flow change of a cement air-powder column to be measured are avoided through the cooperation of a continuous laser device and a pulse laser device, and the accuracy of detection results is improved greatly; power stability of lasers emitted by the pulse laser device is effectively guaranteed through a laser powder feedback stabilizing device. The whole device is ingenious in design, detection results are accurate and reliable, and production quality of cement products can be effectively guaranteed.

The invention discloses an SPR (Surface Plasma Resonance) based reflective index sensor with high sensitivity and a wide measurement range. The SPR based reflective index sensor is characterized by comprising a laser source, an optical isolator, a polarization controller, a microfluidic channel, a side polishing and grinding mono-mode optical fiber, a chip coated with a gold film on a glass slide, a spectrometer and a microfluidic pump, wherein an SPR sensing area comprises the chip coated with the gold film on the glass slide, the microfluidic channel and the side polishing and grinding mono-mode optical fiber; the microfluidic channel is formed in a residual cladding of the side polishing and grinding mono-mode optical fiber by virtue of a photo-etching technology; the chip coated with the gold film on the glass slide is formed by sputtering the gold film on the surface of a silicon substrate by virtue of an ion sputtering technology. Due to a strong evanescent field in the microfluidic channel and the SPR effect, great excursion is generated by an SPR wavelength when the reflective index of the microfluidic channel slightly changes; a great effective reflective index difference is generated on an interface between the chip coated with the gold film on the glass slide and the microfluidic channel, and thus the measurement range is widened. The SPR based reflective index sensor is practical and is low in cost.

The invention discloses an electromagnetic valve leak detection system for blood purification, comprising a liquid circuit and a detection circuit, wherein the liquid circuit is provided an electromagnetic valve and a liquid circuit pipeline. The system is characterized in that the detection circuit is provided with a signal generation circuit, a signal acquisition circuit, a signal processing circuit, a first detection electrode and a second detection electrode. The system has the beneficial effects of high reliability, simple structure and convenient installation, can perform real-time online detection on the electromagnetic valve in blood purification equipment in the whole operation process, achieves discrimination in that whether leakage is generated or not by continuously detecting the liquid flowing condition of an inlet end and an outlet end of the electromagnetic valve, and accurately identifies whether connection and disconnection of the electromagnetic is reliable or not. Therefore, the system can completely avoid safety risk caused by electromagnetic valve leakage, and has obvious advantage of no leakage alarm.