90results about How to "Realize real-time online detection" patented technology

The invention provides a remote checking and monitoring system for electrical energy measuring instrument, the system is composed of a local unit, a local computer, a remote computer; a local display unit and a remote communication unit are connected with a microprocessor unit; the local computer and the remote computer are connected with the remote communication unit; the secondary voltage of a voltage transformer and the secondary current of a current transformer are connected with a checked ammeter and a standard ammeter in the local unit at a same time. The invention has the advantages that: firstly, an omni-bearing test for the whole electrical energy measuring system can be realized; secondly, a real-time on-line test for the electrical energy measuring system is realized; thirdly, the invention is provided with a remote communication function; fourthly, the invention can be interfaced with electrical energy measuring instruments of different types and from different factories; fifthly, the problems existing in the electrical energy measuring work of electrical customers can be accurately grasped.

The invention provides a wheel point cloud detection method for an intelligent garage. The method includes the following steps: collecting a three-dimensional point cloud of a parking area scene by using a two-dimensional single-line laser radar; marking a data set; positioning a position of a wheel by an unstructured point cloud based three-dimensional target detection network model; determininga target point cloud range based on a set space candidate frame and extracting a wheel target point cloud of a region of interest; and representing a wheel target by using a spatial minimum outer bounding box based on predicted six degrees of freedom, wherein the wheel target includes position and attitude information of the wheel. The invention provides a deep learning algorithm for wheel targetdetection for the intelligent garage scene. Compared with a conventional target detection method, the method has the characteristics of high efficiency, strong positioning ability, accurate attitude recognition, strong portability and the like and is initially applied in urban intelligent garages.

The invention discloses a method for diagnosing a failure of a photovoltaic array. The photovoltaic array is M*N; each string comprises M battery panels and P voltage sensors, wherein P is less than M/L. When measured values of the voltage sensors in a certain string are not in a preset range, whether the battery panel in the measurement range of the rth voltage sensor fails is judged; if the battery panel in the measurement range of the rth voltage sensor fails, a data acquisition system sends a number corresponding to the failed battery panel to an upper computer; if the battery panel in the measurement range of the rth voltage sensor does not fail, whether the battery panels in the measurement ranges of the rth and (r+1)th voltage sensors fail is judged; if the battery panels in the measurement ranges of the rth and (r+1)th voltage sensors fail, the data acquisition system sends numbers corresponding to the failed battery panels to the upper computer; the upper computer receives the numbers and displays the numbers to an operator; and the operator replaces the battery panels according to the numbers. On the basis of guaranteeing the detection resolution by a special connection mode, the number of sensors is reduced, and the cost of a failure diagnosis system is reduced; and furthermore, the photovoltaic array is detected on line through the data acquisition system and the upper computer.

The invention discloses a method for acquiring the traction current disturbing amount during arc burning of a bow net, and an arc burning detection device, and relates to the technical field of overhead line detection. The technical key points are as follows: the method comprises the steps of acquiring a train traction current signal and an arc-burning electrical signal of the bow net simultaneously, and removing a trend term from the traction current signal; carrying out windowing on detrended traction current information, and calculating the wavelet packet singular entropy value of the current signal in each time window; dividing the time into three stages before and after the arc burning during the arc burning according to the arc-burning electrical signal of the bow net; calculating the mean value of the wavelet packet singular entropy values of all time frames; averaging the entropy values before and after the arc-burning to obtain a reference value; and calculating the change of the mean entropy value during the arc burning relative to a reference value to obtain the disturbance amount of the traction current during the arc burning, and the like.

The invention relates to the technical field of agricultural intelligent machinery, in particular to a variable spraying control system based on fruit tree canopy leaf area indexes and a fruit tree canopy variable spraying method of the system. According to the system, an information acquisition terminal acquires information of echo energy, the target distance and the running speed of a spraying machine in real time, and a canopy leaf area index spraying basis value L is obtained through calculation of a central processing unit module; real-time variable spraying is realized according to the change of the L value. The detection system and method have the function of detecting the fruit tree canopy leaf area indexes online in real time, pesticide spraying is conducted on different positionsof a fruit tree canopy with pertinence, and the requirement for precise pesticide application of an orchard can be better met; meanwhile, the system has the advantages of being high in adaptability,fast in response, high in detection precision and the like.

The invention discloses a liquor ethanol concentration online detection method of a traditional Chinese medicine alcohol precipitation process. The liquor ethanol concentration online detection method comprises the following steps of firstly, pouring Chinese medical extract into an alcohol precipitation tank; starting an agitator blade; adding ethanol and mixing with the Chinese medical extract to obtain alcohol precipitation mixing solution; then starting an alcohol precipitation liquid output pump, transferring the alcohol precipitation mixing solution to a mixed solution settlement tank to obtain clear liquid after multi-stage filtering; transferring the clear liquid to a clear liquid determination pool; finally conveying the clear liquid to the alcohol precipitation tank by a clear liquid reflux pump to form a cycle; determining the density of the clear liquid in the clear liquid determination pool through an on-line densimeter online in real time; calibrating the concentration of ethanol in the clear liquid and the density of the clear liquid; building a corresponding function relation of the ethanol concentration and the density of the clear liquid in the clear liquid; and determining the ethanol concentration in the clear liquid through the corresponding function relation online in real time. Real-time online detection of the liquor ethanol concentration in the alcohol precipitation process is achieved; the liquor ethanol concentration online detection method can be applied to endpoint determination of the alcohol precipitation technology; and the batch stability and the product quality of the alcohol precipitation technology are improved.

The invention discloses an on-line offset plate testing and stacking system which comprises an image acquisition device, an illumination device, an image information processing device, an information management device, a defect marking device and a mark detecting and stacking device, wherein the image acquisition device is used for acquiring original image information of the surface of an offset plate; the illumination device is used for providing imaging illumination for the image acquisition device; the image information processing device is used for processing the original image information acquired by the image acquisition device; the information management device is used for performing statistical analysis on an image processing result of the image information processing device and controlling the defect marking device according to the analysis result; the defect marking device is used for marking offset plates which do not meet the requirements; the mark detecting and stacking device is used for performing stacking control on the offset plates according to marks of the defect marking device. The on-line offset plate testing and stacking system can be used for performing on-line detection and stacking control on the surfaces of the offset plates. The detection omission rate can be reduced, the detection precision is improved, and labor investment is reduced, so that the production cost is reduced, and the production efficiency and the automation level of a production line are improved.

The invention relates to a detection method and a sampling device for PM2.5 in exhaled gas and belongs to the technical field of analysis of physical and chemical properties of particles. The detection method includes the steps of: 1) sample collection: collecting exhaled gas from breath, and maintaining the temperature of the exhaled gas to be 35-39 DEG C constantly during the gas collection; 2) sample detection: introducing the gas sample into a mono-particle aerosol mass spectrometer for analysis, firstly, the particles in the gas sample pass through two diameter measuring lasers, at certain distance, to perform particle size detection and obtain particle size, and then the particles, under the effect of ionized laser, acquire energy and are ionized into fragment ions, which then enter a flight time mass analyzer to perform detection to obtain charge-to-mass ratio of the fragment ions; and 3) result analysis: analyzing the particle sizes and the charge-to-mass of the fragment ions to acquire partical size spectrum and component spectrum of PM2.5 in exhaled gas. The method achieves real-time online detection on the partical size spectrum and component spectrum, and overcomes defects in the analysis technologies in the prior art.

The invention discloses an QCM-based sensor for detecting 1,5-anhydroglucitol, and a detection method thereof. The QCM-based sensor adopts a sensor made of a quartz crystal, and has the advantages ofsmall size, portability and simplicity in operation. The method adopted in the invention is characterized in that a phenylboronic acid chemical substance is used as a 1,5-AG identification unit, and the phenylboronic acid chemical substance is combined with QCM to improve the reaction efficiency of the 1,5-AG and realize real-time online detection.

The invention belongs to the technical field of process analysis, and particularly relates to a method for rapidly detecting the alcoholysis degree and the polymerization degree in the production of polyvinyl alcohol by utilizing near infrared spectrum technology. The method is particularly as follows: according to the principle that a macromolecular compound generates characteristic absorption on near infrared spectrum, utilizing the near infrared spectrum analyzing technology to obtain a near infrared spectrogram of the polyvinyl alcohol (PVA), conducting the analysis process of the near infrared spectrogram, and combining the chemometrics, thus establishing a quantitative calibration model to rapidly and accurately detect the alcoholysis degree and the polymerization degree of the PVA.Infrared detection probes can be installed on a finished material outlet, a polymerization production line and an alcoholysis production line, thus realizing the online detection. In the method, the accuracy is high, a sample does not need to be subjected to pretreatment, the detection speed is rapid, the reagent does not need to be consumed, and the method is convenient, practical and environment-friendly detection technology.

The invention discloses a power grid resonance point detection device and method. The device comprises a line-change relation resonance frequency recognition module and a signal acquisition and judgment module which are connected between a power grid reactive compensation capacitor and a load, wherein the line-change relation resonance frequency recognition module is connected with the signal acquisition and judgment module, the line-change relation resonant frequency recognition module is used for injecting a current signal with specified amplitude and frequency into a power grid, the signalacquisition and judgment module is used for acquiring voltage and current signals of a power grid common coupling point and judging the resonant frequency range of the power grid according to the voltage and current signals. The device is simple in structure, real-time online detection of the resonant frequency of the power grid can be realized, and the resonant frequency of the power grid can bedetected only by acquiring the voltage and current signals of the common coupling point outputted by the line change relation identification device.

The invention discloses a sensor for storage battery bulge detection. The sensor comprises a sensor body propped against the surface of a storage battery, a connector assembly positioned at one end of the sensor body, wiring terminals inserted into the connector assembly, a printed circuit board (PCB) connected to the wiring terminals, and communication modules connected to the PCB. The sensor has the advantages that an early slight bulge on the storage battery can be discovered timely through real-time online monitoring, so as to ensure safe use of the storage battery.

The invention discloses a device and method for automatically detecting the water quality of an oilfield wet steam generator. The device comprises an operating display panel, a main control board, a closed detection bin and a reagent storage matrix chamber, wherein the closed detection bin is connected with the reagent storage matrix chamber, a water sample inlet of the wet steam generator and a water sample outlet respectively; and the main control board is connected with the operating display panel, the water sample inlet of the wet steam generator, the water sample outlet, an electronic eye, a cleaning dryer and the reagent storage matrix chamber respectively. When the water quality is detected, corresponding water samples are extracted and titrated with various reagents in sequence and mixed, human eyes are simulated by an electronic means to realize parameter feedback of color, color saturation and the like, multiple dynamic curves are generated and compared with a standard curve, titration is stopped after high fitting, and the water hardness, steam dryness and sodium sulfite excess quantity of the wet steam generator are calculated, so that automatic on-line detection of water quality parameters is realized, the problems of water quality detection lag, low precision and the like of the wet steam generator are effectively solved, the steam injection quality is improved and the safety production of the wet steam generator is guaranteed at the same time.

The invention discloses a fully-mechanized mining face scraper conveyor chain state detection device and method, and relates to the technical field of chain detection. The detection device comprises amagnetic field generation device and a magnetic field detection device. The magnetic field generation device comprises an adjustable direct-current source and a multi-turn coil. The magnetic field detection device comprises a detection probe, a polarizer, an optical fiber circulator, a broadband light source and a photoelectric detector. The detection probe comprises a reflection mirror, a magnetic induction coil and a magneto-optic crystal. The detection probe gets close to a chain through an adjustment support to achieve online detection. According to the fully-mechanized mining face scraper conveyor chain state detection device and method, the scraper conveyor chain is magnetized firstly, mutual inductance is generated between a leakage magnetic field generated by chain defects and themagnetic induction coil of the detection probe, a magnetic signal generated by mutual inductance in the magnetic induction coil is converted into an optical signal in the magneto-optic crystal, the optical signal is then converted into an electrical signal, a state signal of the chain is obtained through signal processing, real-time online detection of the chain can be achieved, it is ensured that a scraper conveyor safely and stably operates, and coal mine production potential safety hazards are avoided.

The invention provides a gas detection system based on a gas sensor. The gas detection system comprises an optical emission module, an acquisition module, a light detection module, a conditioning module and a control module. The light emission module generates infrared light. The acquisition module absorbs the characteristic spectrum of infrared light. The light detection module converts infraredlight into electrical signals. The conditioning module conditions the electrical signals to produce digital signals. The control module processes the digital signals and then backs up and displays theprocessing results to realize the detection of gas composition and concentration. The gas detection system is free of a special light absorption gas chamber, a light reflection device and a special air extraction system, reduces the cost of the gas sensor and improves the integration and accuracy of the gas sensor. The gas sensor does not need power in work so that the gas detection system has low power consumption and is not affected by the high voltage and strong magnetic field in the electric power environment and the system can stably work in a long term.

The invention discloses a two-waveband-based online detection method and a two-waveband-based online detection device for eggs with blood pots, wherein a light source part is installed just below a conveying mechanism by a lower support arm; a detection unit is coaxially installed just above the conveying mechanism by an upper support arm; the conveying mechanism for the eggs is installed between the light source part and the detection unit; the detection unit is used for generating voltage signals; the voltage signals generated in two channels are converted to digital signals in a data processing unit by an amplifier and an A/D (analogue/digital converter); a binary Logistic discrimination model is combined, and the formula is Y = 121.9*A - 149.361*B - 16.028, wherein A is the average optical absorbance value in a waveband range of 580 +/- 10 nm, B is the average optical absorbance value in a waveband range of 600 +/- 10 nm; when Y is not less than 0, the judged result is that the eggs are normal, and when Y is less than 0, the judged result is that the eggs are provided with blood pots. According to the method and the device disclosed by the invention, the loss of optical intensity is reduced and the sensitivity of detection is improved on the premise of acquiring the spectral information of two wavebands simultaneously.

The invention discloses a method and control system for detecting an inclined chain of a scraper conveyor based on image recognition. The control system comprises an image collection device, an imagerecognition module, a switching value output module, a programmable controller (PLC) module and an upper computer. The detecting method comprises the steps that real-time working video information ofthe scraper conveyor is collected; a single-frame image of a collected video is preprocessed; and a scraper contour is extracted from the preprocessed image, straight line information of the scraper contour is obtained, the angle between a scraper and the chain is obtained based on a straight line of the scraper contour and a straight line of the chain, and whether the scraper is inclined or not is judged according to the angle. The fault of the inclined chain of the scraper conveyor is real-timely detected on line through an image recognition and video analysis technology, an operation stateof the scraper conveyor is automatically controlled by combining a PLC, the automatic control degree of industrial production is increased, and the reliable technical guarantee is provided for the stability of industrial production and operation.

The invention discloses a traditional Chinese medicine concentration process medicine liquid density on-line detection method. The traditional Chinese medicine concentration process medicine liquid density on-line detection method comprises following steps: (1) firstly, a liquid outlet valve of a scraper blade enricher in a traditional Chinese medicine concentration device is closed, a Chinese medical extract is delivered into the scraper blade enricher, a stirring paddle in the scraper blade enricher is turned on, a vacuum valve and a cooling water valve of a condenser are opened, a steam valve communicated with the scarper blade enricher is opened, and steam is delivered into the scraper blade enricher; (2) a liquid outlet valve of the scraper blade enricher is opened, and a screw pump is turned on so as to obtain medicine liquid circulation among the scraper blade enricher, the condenser, and the screw pump; and (3) a mass flowmeter is used for realizing real-time on-line determination of the density of the medicine liquid in the scraper blade enricher. The traditional Chinese medicine concentration process medicine liquid density on-line detection method is capable of realizing medicine liquid density real-time on-line detection of sphere/scraper blade concentration process, and can be used for medicine liquid density end point determination of sphere/scraper blade concentration process; automatic production is realized; and production efficiency and product stability are improved.