43results about How to "Realize automatic online detection" patented technology

The invention relates to a transformer substation direct-current power supply information management system based on three-stage network architecture. The system comprises a transformer substation direct-current power supply system, wherein a storage battery pack of the power supply system and a direct-current switch power supply are connected with a network data transmission system through a direct-current switch power supply monitoring terminal and then are in communicating connection with a remote monitoring platform. A detecting means efficient and convenient to use is provided for the direct-current power supply of a transformer substation.

The invention discloses a method and a device for ultraviolet optic online automatic detection of indium tin oxide (ITO) membrane circuit pattern defect information. The device comprises an ultraviolet optic device, a micro visual imaging device, an image collecting synchronous control device, an image processing device and a result output device. The bright-dark field illumination can be formed on an ITO membrane through the ultraviolet optic device at the same time, gray contract and enhancement circuit pattern defect information of ITO circuit patterns and polyethylene terephthalate (PET) base material backgrounds in the image space are highlighted, synchronous signals are established by a coder, the image collecting synchronous control device modulates the synchronous signals, the precise synchronization of image acquisition triggering signals and membrane running speeds is controlled, the micro visual imaging device is used for conducting high-resolution amplification for the defect information, the image collecting synchronous control device is used for transmitting the defect information to a processer, the image processing device is used for analyzing and processing the defect information, and the result output device is used for counting, classifying, alarming, storing and displaying the detected defect information.

The invention discloses a preparation method of a ginkgo leaf extract. The preparation method comprises the following steps: (1) heating for reflux extraction by using ethanol; (2) adjusting the pH to be alkaline, and placing for cold storage; (3) passing through a macroporous resin column; and (4) filtering through a microporous filtering film, and sterilizing to obtain the ginkgo leaf extract, wherein 25% ethanol and a 10% sodium acetate solution are used for eluting impurity peaks in the step (3), and 30-50% ethanol is used for eluting target component peaks. The preparation method disclosed by the invention has the beneficial effects that a harmful component namely total ginkgolic acid is effectively removed, anaphylactoid reaction is reduced, the safety is improved, the purity of a target component is improved, the product quality is improved, and automatic online detection is realized.

The invention discloses an automatic online pretreatment and Raman detection device and method, and relates to the field of biochemical automatic detection. The device comprises a sample pretreatmentdevice, a spectrum detection device and a control system; the sample pretreatment device is used for quantitatively extracting a to-be-detected sample and performing solid-phase extraction on the to-be-detected sample to obtain a to-be-detected liquid; the spectrum detection device is used for quantitatively taking the pretreated to-be-detected liquid and a Raman enhancement reagent into a detection pool, detecting and analyzing whether the to-be-detected liquid in the detection pool contains a target component or not through a Raman spectrum, and forming detection data; and the control systemis used for controlling the sample pretreatment device and the spectrum detection device and circularly executing the following processes: automatic quantitative sample injection of the to-be-detected sample, automatic solid-phase extraction, automatic spectrum detection and data processing, so that automatic online detection of the target component in the complex liquid substrate sample is realized.

The invention belongs to the field of agricultural detection equipment and detection technology and discloses a single grain rapeseed quality near infrared spectrum on-line nondestructive testing method and a single grain rapeseed quality near infrared spectrum on-line nondestructive testing device. The single grain rapeseed quality near infrared spectrum on-line nondestructive testing device comprises a spectrum signal acquisition optical fiber, a spectrum acquisition controlling photoelectric sensor, a single grain sampling device, a near infrared spectrometer, an incidence optical fiber, a light source, a motor, a negative pressure pipeline, a positive pressure pipeline, a positive pressure fan and a computer. The single grain rapeseed quality near infrared spectrum on-line nondestructive testing method comprises the following steps that: according to rapeseed quality indexes required to be tested, spectral information of a single grain rapeseed sample is acquired in an online manner, and physical/chemistry tests are performed on qualities to be tested of single grain rapeseeds, and a single grain rapeseed quality detection model of spectral information is constructed; in online detection, the spectral information of the single grain rapeseed sample to be tested is automatically acquired, and the single grain rapeseed quality detection model is utilized to perform real-time online nondestructive testing on the indexes to be tested of the sample to be tested. According to the single grain rapeseed quality near infrared spectrum on-line nondestructive testing method and the single grain rapeseed quality near infrared spectrum on-line nondestructive testing device provided by the invention, through using the optical properties of rapeseeds, and based on the combination of a pneumatic-type automated single grain sampling method, automated online detection of single grain rapeseed qualities can be realized.

The invention provides an online automatic insulation voltage resistance testing system which comprises the components of: a PLC controller, a high-voltage accessing device, a conductive seat, a GND accessing device and an insulating voltage resisting instrument. A first cylinder and a second cylinder are respectively arranged in the high-voltage accessing device and the GND accessing device. The first cylinder and the second cylinder are respectively controlled by the PLC controller and synchronously acts. The insulating voltage resisting instrument is electrically connected with the high-voltage accessing device, the GND accessing device and the PLC controller respectively. In test, the GND accessing device is electrically connected with the conductive seat. According to the online automatic insulation voltage resistance testing system, the PLC controller causes the first cylinder to control conduction or disconnection between the high-voltage accessing device and a product to be tested, and simultaneously causes the second cylinder to control conduction or disconnection between the GND accessing device and the product to be tested through the conductive seat; and the PLC controller transmits a signal according to testing result of the insulating voltage resisting instrument, thereby realizing automatic online detection in insulating voltage resisting test, saving test manpower, improving manual operation efficiency, and preventing misjudgement caused by manual fault.

The invention discloses a rock wool board on-line dimension measurement device, which comprises a belt conveyor, a set of positioning clamping plates and three laser range finders A, B and C. The positioning clamping plates are arranged at the two sides of the belt conveyor; and distance between clamps is adjusted through a screw rod to ensure a rock wool board to walk in a line and prevent the rock wool board to shift to the two sides. The laser range finders A and B are arranged at the two sides of the belt conveyor, and the distance between the laser range finders and the end surfaces of the rock wool board is recorded through laser scanning; and the laser range finder C is arranged on the top portion of the belt conveyor, and the distance between the laser range finder and the upper surface of the rock wool board is recorded through laser scanning to realize real-time detection of the product dimension. The rock wool board on-line dimension measurement device is simple in structure and reasonable in design; the device does not need manual operation, thereby saving manpower; and automatic on-line detection can be realized, thereby improving work efficiency and reducing product reject ratio.

The invention discloses a movable cellar for making baijiu, belongs to the field of wine making equipment, and provides an independent movable cellar and cellar clay plate components applied to the independent movable cellar. The movable cellar comprises the detachable cellar clay plate components which can be used for making strong-flavor baijiu and aromatic-flavor baijiu respectively. The movable cellar has the advantages that the movable cellar can move integrally, so that baijiu can be put into the cellar, taken out from the cellar and fermenting tanks can be transferred and the like in amanner of mechanized operation, and the movable cellar is suitable for mass production; multiple movable cellars can be stacked layer by layer, the floor space of the movable cellar can be reduced effectively, the limitation of conventional workshop space can be broken through, and the three-dimensional layout of cellars in workshops can be realized; in addition, the cellar clay plate components can be mounted selectively according to different production needs of the strong-flavor baijiu and the aromatic-flavor baijiu to achieve switching, different container devices are not needed, and the equipment costs for producing the strong-flavor baijiu and the aromatic-flavor baijiu are reduced effectively.

The invention discloses a device for boundary positioning and quality identification of a watermark of paper. The paper travels in a mounting frame; two symmetrical reflective optical fiber sensors are arranged at positions above two sides of the paper on the mounting frame; a charge coupled device (CCD) sensor is arranged at a position above the center of the paper, light sources are arranged at positions below the center of the paper; a diffusely reflecting plate which is parallel to the paper is arranged between the light sources and the paper; the reflective optical fiber sensors are connected with a computer; and the CCD sensor is connected with the computer through an image acquisition card. A method for the boundary positioning and quality identification of the watermark of the paper by using the device comprises the following steps of: acquiring a watermarked paper image by using the CCD sensor, transmitting to the computer, and processing the image; and matching a processed watermark pattern contour and a standard watermark pattern contour, marking the unmatched image, and displaying and storing result information. The device can automatically position boundaries of watermarks and extract watermark patterns and realizes automatic identification.

The invention discloses a spraying surface defect detector. The spraying surface defect detector comprises a charging hole, a discharging hole, a feeding mechanism as well as a first CCD (charge coupled device) detecting module and a second CCD detecting module which are arranged between the charging hole and the discharging hole, wherein the first CCD detecting module is arranged close to the charging hole relative to the second CCD detecting module; the first CCD detecting module is used for carrying out CCD coarse detection on surface defects of products, and removing bad products which are detected to have predetermined larger surface defects; and the second CCD detecting module is used for carrying out CCD micro detection on surface defects of the products, and removing the bad products which are detected to have determined smaller surface defects. The spraying surface defect detector disclosed by the invention can be used for efficiently and precisely detecting spraying surface defects of the products.

The invention relates to a bearing saddle detection system. The system comprises an entrance conveying line, a transfer module, a detection module and a controller, wherein the entrance conveying line, the transfer module and the detection module are connected with the controller; the entrance conveying line is used for conveying a to-be-detected bearing saddle under control of the controller; thedetection module is used for detecting the bearing saddle; and the transfer module is used for transferring the to-be-detected bearing saddle to the detection module under the control of the controller and carrying the bearing saddle away from the detection module under the control of the controller. The detection system is reasonable in design, can realize automatic online detection of the bearing saddle, avoid human detection factors and reduce labor intensity of operators, has characteristics of a high detection speed, high reliability, high efficiency and the like, and can realize automatic identification and sorting of the bearing saddles of various models so that the bearing saddles of various models can be subjected to collinear detection, and universality is better.

The invention discloses an online coliform group detection system. According to the system, a reagent storage unit is used for storing a cleaning solution, a culture solution and a sample solution respectively, unused disposable sterile hole discs are stored in a hole disc liquid-filling packaging unit, a liquid mixing and transferring unit sucks and transfers a liquid contained in the reagent storage unit to the unused disposable sterile hole discs, the hole disc liquid-filling packaging unit seals the hole discs after the liquid is filled, a hole disc transferring unit holds the sealed holediscs and transmits the hole discs to a culture detection unit, the culture detection unit performs constant-temperature culture on the hole discs, and can perform image recognition on the hole discscultured for a period of time, a control processing module gives a detection result based on the color change of each hole after image recognition and the number of holes with color change, and according to data in a maximum possible number table, and thereby the online coliform group detection is realized. The system can realize automatic on-line detection, the manual operation is not needed, thehole discs are disposable, and thereby the detection result is prevented from being influenced by incomplete cleaning of culture vessels.

The invention provides an automatic rivet hammering rivet inlet hole and upset head height online detecting method and device. The device comprises an installing base plate, an outer ejection sleeve assembly, an inner ejector rod assembly, a detecting device and a sliding device; the sliding device is arranged on the installing base plate; the outer ejection sleeve assembly and the inner ejector rod assembly are connected with the installing base plate through the sliding device; the outer ejection sleeve assembly and the inner ejector rod assembly can perform stretching and retracting driving, the outer ejection sleeve assembly can abut against a workpiece through stretching and retracting driving, and the inner ejector rod assembly can abut against the top of a rivet through stretching and retracting driving; the detecting device can measure the relative displacement between the outer ejection sleeve assembly and the inner ejector rod assembly, and the rivet inlet hole and the upsethead height can be monitored through relative displacement. The detecting device is simple in structure and convenient to use; the rivet inlet hole detecting method is simple and direct and high in accuracy; the rivet specification mistake detecting function is achieved, and the method is safer; automatic online detection for the upset head height is achieved, the labor amount is lowered, and meanwhile the riveting quality can be monitored in time.

An oxygen purity online detection system comprises a collector communicated with a detector. The collector comprises a collecting box. An expansion pipe is arranged in the collecting box. The expansion pipe is communicated with an oxygen pipeline through a first electronic valve and communicated with a negative pressure pumping device through a second electronic valve. The collecting box is a sealed box. An adding device is communicated with the collecting box. An air release valve is arranged on the surface of the collecting box. The detector comprises a distribution bin which is communicated with the negative pressure pumping device through a control valve. The distribution bin is provided with at least two distribution electronic valves. Each distribution electronic valve is communicated with a liquid detecting bin through a gas inlet pipe. An image collector aligns with the liquid detecting bins and is connected with a collector. The oxygen purity online detection system has the advantages that quantitative automatic oxygen purity online detection can be achieved, and interference of other conditions on detection data is eliminated.

The invention discloses an aircraft skin part detection method and device, and the method comprises the steps of obtaining an image of the surface of a to-be-detected aircraft skin part through a detection mechanism; preprocessing the image to obtain a preprocessed sample; converting the preprocessed sample into a two-dimensional spectrogram, eliminating a high-frequency signal containing texture information, and converting the processed spectrogram into a spatial domain image; carrying out binarization operation and morphological operation on the texture filtered image to determine whether a fiber tearing defect feature exists or not; training an IMPRESS-NN deep learning model by using the test sample until the IMPRESS-NN deep learning model is converged; and inputting a test sample into the converged IMPRESS-NN deep learning model so as to determine whether the image has an impression defect or not. According to the method, the imprint defects on the aircraft skin part are marked through the IMPRESS-NN, and automatic online detection of the surface defects is achieved; the preprocessed image is converted into a two-dimensional spectrogram, so that whether tearing exists or not is detected.