55results about How to "Comprehensive testing information" patented technology

The invention relates to a resistance spot welding quality control device and method, which pertains to resistance spot welding process information detecting and quality control technology domain. The device comprises potential transformer, inverse paralleling gate circuit transistor, current-sensing device, trigger signal amplifying circuit, synchronous circuit, current effective value detecting circuit, current zero-cross detecting circuit, electrode displacement sensor and SCM control system. The procedure comprises signal pickup, characteristic information abstraction, information anastomosing, control algorithm selection and output power conditioning step. The invention has the advantages of multiple detection information, good control property, high control accuracy and extensive useage.

The invention provides a call progress analyzing method for a phone dialing system, which includes the following procedures: A dialing a called party number with known state through the phone dialing system, picking up the voice of the called party from a call wire as a source voice sample and selecting the source voice sample including keywords to perform feature extraction and form a keyword voice frame feature sequence template; B dialing the called party number through the phone dialing system, picking up the voice of the called party from the call wire as a target voice sample and performing the feature extraction to the target voice sample so as to form a target voice frame feature sequence; and C recognizing the target voice frame feature sequence by utilizing the keyword voice frame feature sequence template. The invention further provides a call progress analyzing device for the phone dialing system. The scheme of the call progress analyzing method and the call progress analyzing device can improve the detection accuracy rate of the state of the called part, acquire the accurate state of the calling and shorten detection delay.

The invention provides an electronic humidity-sensing absorption article and a related method thereof. The electronic humidity-sensing absorption article comprises a flexible waterproof membrane, at least two flexible electrodes, a pervious knitted layer and an absorbing layer, wherein the flexible electrodes are mutually separated and insulated and are arranged on one side of the flexible waterproof membrane; and the absorbing layer is arranged on the other side of the flexible waterproof membrane, positioned between the flexible waterproof membrane and the pervious knitted layer, and used for absorbing liquid entering from the pervious knitted layer. The flexible waterproof membrane, the flexible electrodes and the liquid contained in the absorbing layer form a non-polar variable electrolytic capacitor, wherein the flexible electrodes serve as the electrodes of the electrolytic capacitor, the flexible waterproof membrane serves as a dielectric medium of the variable electrolytic capacitor, the liquid serves as the electrolyte of the electrolytic capacitor, and by detecting the capacitance value and change thereof of the variable electrolytic capacitor, the humidity state of the electronic humidity-sensing absorption article can be learned.

The invention discloses a vehicle detecting device based on multiple shock detecting sensors. The vehicle detecting device based on the multiple shock detecting sensors comprises a shock detecting unit, a shock signal adjusting circuit, a data collection unit, a microprocessor, a storage unit and a wireless transmitting module. The shock detecting unit, the shock signal adjusting circuit, the data collection unit and the microprocessor are connected in sequence, and the storage unit and the wireless transmitting module are connected with the microprocessor respectively. In the running process of a vehicle, continuous stimulating is generated to the ground by vehicle shafts through vehicle wheels, the generated road surface shock is detected by the multiple shock detecting sensors, the detected signal after passing through the signal adjusting circuit is input to a microcontroller, shock data are processed by the microcontroller to acquire shock source positioning, vehicle shaft positioning data are further acquired, and vehicle information such as the number of the vehicle shafts, wheel base, speed of the vehicle, the vehicle type classification and the like is acquired. The vehicle detecting device based on the multiple shock detecting sensors has the advantages of not being affected by weather factors such as rain, snow, fog and the like and boundary dimensions of the vehicles, and being simple to install and maintain and stable in operation.

The present invention belongs to the field of physical property measurement and analysis of material, and relates to the grain size calculation for various inclusions in metal material. The in-situ counting and analysis of inclusions in metal material includes the following steps: conventional analysis to obtain relevant data of the grain size distribution of various inclusions in the sample via metal structure detection, chemical phase state analysis, and electronic microscope plus energy spectrum analysis; in-situ statistical analysis with in-situ metal analyzer for continuous scanning of the sample to obtain single spark spectrum strength data corresponding to the original position of the sample; system analysis to obtain single spark spectrum strength data and determine signal threshold; establishing mathematic analysis mode and comparing the data obtained in different methods to obtain the grain size distribution information of various kinds of inclusions and output result.

This invention discloses one method for information process in traffic technique by use of abnormal traffic information for real time traffic status merging estimation, which comprises the following steps: sensor test information property extracting; b, reliability matrix W determining; c, reliability establishing; d, property merging module; e, final property deciding.

The invention discloses a traffic information acquisition device, which is characterized in that the device comprises an image acquisition module-camera equipment, an image transmission module and an image processing module which comprises an analog-to-digital converter module, an image preprocessing module and vehicle tracking module; the image transmission module connects the image acquisition module with the analog-to-digital converter module of the image processing module; the analog-to-digital converter module is connected with the image preprocessing module; the vehicle tracking module is connected with the image preprocessing module. The invention also discloses a traffic information acquisition method which is characterized in that the method comprises the following steps: continuously acquiring the real-time dynamic traffic image information; carrying out analog-to-digital conversion and preprocessing to the dynamic image information, and extracting background information; tracking moving objects; obtaining the real-time traffic information through algorithm.

The invention discloses a group abnormal behavior detection algorithm in a video. Firstly, a large amount of video image data is acquired as a training sample for analyzing and identifying groups anddetecting abnormal behaviors; secondly, a crowd density estimation model is trained by adopting a neural network based on hole convolution to obtain a video image crowd density map, and point clustering is performed on the density map in combination with a clustering method to obtain the position and the size of a group; thirdly, for all the anomaly detection video data sets, a feature extractionnetwork is used for extracting spatial and temporal features of the anomaly detection video data sets, input of a training neural network is obtained, training samples are input into a full-connectionneural network with set parameters, the neural network is trained until cost loss is reduced to a certain degree and the maximum number of iterations is achieved, and a trained model is obtained; andfinally, group information obtained by group identification is taken as a region of interest, spatial and temporal features of the test video are extracted, and the spatial and temporal features areinput into the trained anomaly detection model to obtain an anomaly detection score of the video.

The invention discloses a method for identifying typical flaws of a forged piece based on an ultrasonic phased array technology and belongs to the field of nondestructive detection. The method is characterized in that hardware platforms for flaw identification comprise a computer (1), an ultrasonic phased array system (2) and a linear array sensor (3). The method comprises the following specific steps: exciting/receiving an ultrasonic signal by using the ultrasonic phased array system; sending and receiving the ultrasonic signal by using the linear array sensor; acquiring and detecting an A scanning signal and a sector scanning graph by using the computer; observing the shape of a flaw echo, calculating the spectrum characteristic information of the flaw echo, and observing the contour shape of a flaw vector scanning graph for flaw type determination. The invention provides the method for identifying the internal flaw type of the forged piece, and the problems that a conventional ultrasonic flaw detection method is low in detection efficiency, the flaw type cannot be accurately determined and the method highly depends on the professional experience of engineering staff are solved.

Provided in the invention is a fast self-detection method of starting of a fiber-optic gyroscope. Linear fitting is carried out on corresponding demodulation values to obtain a loop gain value; and the loop gain value obtained by testing fitting is compared with a preset threshold to determine a loop state of a fiber-optic gyroscope. With the software method, the self-detection problem of fiber-optic gyroscope starting is solved; and the modulation and demodulation characteristics of the fiber-optic gyroscope are utilized fully. The method is implemented simply; the complexity of the fiber-optic gyroscope software is not increased; and the normal operation of the fiber-optic gyroscope after startup is not affected. The detection speed is fast, the required time is short, and time for providing needed detection information and results is less than 1ms normally. The detection result is flexible; a detection result can be provided inside the fiber-optic gyroscope software; and an upper compute also can carry out processing to obtain a result. The detection information is more comprehensive and the detection result is more reliable. The provided information includes the overall loop ofthe fiber-optic gyroscope; and when any fault occurs at any link of the loop, the fault can be reflected in the detection result.

A method, system and storage medium for providing an alarm for indicating that an abnormality is present in a sample analyzer are provided. The method includes: mixing a first aliquot of a blood sample with a diluent agent to prepare a first test sample; mixing a second aliquot of the blood sample with a lytic reagent to prepare a second test sample; detecting electrical impedance signals of the first test sample; detecting at least two types of optical signals of the second test sample; acquiring first platelet detection data based on the electrical impedance signals; acquiring second platelet detection data based on the at least two types of optical signals; acquiring an evaluation result based on a difference between the first platelet detection data and the second platelet detection data; determining whether the evaluation result meets a preset condition to provide an alarm.

The invention discloses a method and a device for detecting tobacco stem outline structures based on images; the device comprises a tobacco stem discrete device, an image collector above the belt conveyor of the discrete device and a computer image processing system connected with the image collector; the tobacco stem discrete device is composed of a flow control and transport belt conveyor, tobacco stem shifting levers and a high-speed conveying belt; the control of the tobacco stem flow is realized by the control of the transporting speed of the flow control and transport belt conveyor; the tobacco stem shifting levers at certain intervals are installed below the discharge outlet of a flow controller; a high-speed belt is installed below the shifting levers; the tobacco stems intercepted, rebounded and dispersed by the shifting levers slide to the high-speed belt and are further dispersed by using the speed difference between two stages; and finally, materials are laid on the high-speed belt at a discrete state and sent to an image detection position. According to the method and the device for detecting tobacco stem outline structures based on the images, the degree of automation for the quality detection of tobacco stems can be improved, the workers' labor intensity is reduced, the detection information is enriched and the quality control level of threshing and drying is improved.

The invention discloses a method for performing personalized foot shape health detection through a foot motion state. The method comprises methods which are adopted in each link of closed ring flow ofacquiring, denoising, performing feature extraction, performing feature fusion, modeling and performing model adaptive perfection, and has the following advantages: the integrated feature and the local feature are organically fused; the algorithm can continuously perform self improvement along with the increment of sample quantity; the detection information is comprehensive; the cost is reduced;certain health detection can be conducted according to the foot motion state; meanwhile, the most appropriate shoe shape can be selected according to the individual foot shape.

The invention provides a wearable intelligent power inspection device which comprises an inspection backpack, AR glasses, an intelligent safety helmet and an inspection recorder. The inspection backpack is used for processing inspection information and wirelessly communicates with a background main station. The inspection backpack communicates with the AR glasses, the intelligent safety helmet and the inspection recorder. A video monitoring mechanism, an infrared thermal imaging mechanism, a lighting mechanism and a voice communication mechanism are arranged on the intelligent safety helmet, and a display screen, an infrared temperature collector, a partial discharge collector and an RFID reader are arranged on the inspection recorder. The device is suitable for single-person inspection, can timely and accurately process field inspection information, and can communicate with a background main station in real time to obtain remote support.

The invention discloses a pseudosciaena crocea freshness detection device and a detection method. The detection device comprises a laser array, a spectrometer, a light intensity adjustment instrument, a light emission head used for emitting incident light to a sample, a bracket and a light receiving instrument. The bracket comprises a bottom plate, a sample support plate over the bottom plate, a light-transmitting plate disposed on the sample support plate and an L-shaped fixation arm disposed on the edge of the bottom plate. The L-shaped fixation arm includes a horizontal plate positioned above the sample support plate and a vertical bar that passes through the sample support plate and is fixedly connected to the sample support plate. A horizontal plate's part over the light-transmitting plate is provided with a vertical extension arm extending toward the light-transmitting plate. The device and the method provided by the invention have the characteristics of fast detection speed, more detection points, and higher data detection reliability and precision.

The invention discloses a microRNA (Ribonucleic Acid) detection system and a microRNA detection method based on an exponential amplification reaction and Argonaute nuclease. The invention provides a microRNA (Ribonucleic Acid) detection system based on exponential amplification reaction and Argonaute nuclease, and the microRNA detection system comprises: (a) guide DNA (Deoxyribose Nucleic Acid), which is an amplification product obtained by amplifying a target object microRNA by adopting an exponential amplification reaction system; (b) an Argonaute nuclease, and a method for preparing the same; (c) the detection probe is provided with a fluorophore and a quenching group, and the detection probe comprises a region complementary to an amplification product obtained by amplifying the target microRNA by adopting the index amplification reaction system. According to the microRNA detection system provided by the invention, miRNA detection with single base specificity and high sensitivity as well as multiple miRNA detection and miRNA typing analysis are realized.

The invention discloses a hyperspectrum-based methamphetamine, heroin and hemp detection method and belongs to the field of drug detection. According to the method, a central processing module is adopted; the input end of the central processing module is connected with an image acquisition module; the output end of the central processing module is connected with an information display module; theconnecting end of the central processing module is connected with an image storage module and a model establishing module; and the output end of the central processing module is connected with an intelligent analysis module. According to the method of the invention, based on overall design, a series of operations such as impurity removal, correction and brightness adjustment are performed on an image through the central processing module, so that a comprehensive hyperspectrum image can be formed, and a model is built; the built model is optimized with an image optimization unit, so that the built model is more perfect. The method can be used for more accurately and effectively detecting objects such as methamphetamine, heroin and hemp on the whole, so that more comprehensive detection information is obtained.

The invention relates the field of contrast agents and especially relates to an ultrasonic/magnetic resonance bimodal contrast agent and its preparation method and use. A nanoparticle suspension with a magnetic resonance imaging function as a raw material is processed to form hollow spherical nanoparticle aggregates by a spray drying technology so that the bimodal contrast agent with both ultrasonic and magnetic resonance imaging functions is constructed. The ultrasonic/magnetic resonance bimodal contrast agent has the advantages of ultrasonic and magnetic resonance imaging, realizes complementation of imaging sensitivity and image resolution and can acquire more information related to focus positions. The preparation method provides a novel method for fast, efficient and controllable preparation of the bimodal contrast agent.

The invention discloses a mine scraper conveyor chain breakage monitoring signal processor. The mine scraper conveyor chain breakage monitoring signal processor comprises a signal processor and a chain breakage monitoring device, the chain breakage monitoring device comprises a first Hall sensor and a second Hall sensor, and the first Hall sensor and the second Hall sensor are used for detecting flat rings and vertical rings of a left scraper conveyor chain and a right scraper conveyor chain respectively. According to the mine scraper conveyor chain breakage monitoring signal processor, the chain breakage monitoring device is high in precision and reliability and can precisely identify the flat rings and the vertical rings in the mine scraper conveyor chains, and therefore on this basis, the chain breakage monitoring device can detect information more plentifully; a counting module and a chain breakage judging module which are arranged in the signal processor and combined with time parameters and the flat ring and vertical ring quantity can accurately and reliably judge whether the scraper chains generate the breakage accident or not; and compared with an existing chain breakage fault diagnosing system, a totally different technical scheme is designed, in the technical scheme, the signal processor and the chain breakage monitoring device cooperate with each other to truly achieve industrial application of the chain breakage monitoring function, and the mine scraper conveyor chain breakage monitoring signal processor is the first case in the industry.

The invention discloses a spliced mutton detection device and detection method, the spliced mutton detection device includes an opaque casing, a laser array which comprises a plurality of lasers capable of emitting laser with different wavelengths, a spectrometer, a container which is arranged in the casing and is provided with an opening on the upper end, a bracket, a circular sample tray arranged in the container, a light emitting head which is arranged on the bracket and used for irradiating light to a sample, and a light receiving head which is arranged on a base plate of the container and used for receiving transmission light; the sample tray is provided with a light transmitting plate for placing the sample, the height of the upper end of the light receiving head is below the height of the lower surface of the sample tray, the laser array and the light emitting head are orderly electrically connected, the light receiving head and the spectrometer are electrically connected, and the spliced mutton detection device has the advantages of fast detection speed; more point detection, reliable detection data and higher precision.

The invention provides an omni-directional bridge detection machine. The omni-directional bridge detection machine comprises a detection device mounting vehicle and a scissor type lifting table, wherein the scissor type lifting table is fixedly installed on a carriage bottom plate of the detection device mounting vehicle, and a base rotating assembly is fixed to the table board of the scissor typelifting table; a base telescopic arm is connected with the scissor type lifting table through the base rotating assembly; a longitudinal telescopic arm is connected with the base telescopic arm through a longitudinal rotating assembly; a transverse rotating assembly is arranged on the front end side of the longitudinal telescopic arm; a transverse detecting arm is connected with the longitudinaltelescopic arm through the transverse rotating assembly and can do rotary motion; and the scissor type lifting table is lifted, the base telescopic arm extends out of a bridge guardrail, the longitudinal telescopic arm extends to convey the transverse rotating assembly to the bottom of a bridge, the transverse rotating assembly then retracts, the transverse detecting arm reaches the horizontal position, and a visual detecting device carries out bridge detection. The omni-directional bridge detection machine solves the difficult problems in the bridge detection, makes the bridge detection morepopular and normal, and has the advantages of being wide in detection range, simple and rapid in detection method and high in reliability coefficient.