2541 results about "Field detection" patented technology

The invention relates to a tunnel lining disease detection device based on an infrared temperature field and a gray level image. The tunnel lining disease detection device comprises a vehicle-mounted mobile platform, illumination equipment, a photoelectric encoder, a GPS (Global Position System) receiver, an inertia unit, a synchronous controller, an area-array camera, an infrared thermal imager, an acquisition server, a display control device and a power supply system; tunnel lining two-dimensional image data, infrared temperature field data and fracture surface deformation data are combined with positioning data of the GPS, the inertia unit and the photoelectric encoder to establish a tunnel model with gray level information, temperature information and fracture surface deformation; and tunnel lining cracks are analyzed, and the length, width and lining leakage water information of the cracks are automatically detected. For the tunnel lining disease detection device, the advantages of infrared temperature field detection and two-dimensional gray level image crack detection are combined so that the detection result is relatively reliable, the speed is rapid and the working efficiency is greatly improved.

The invention discloses a modeling method of a soil heavy metal content detection model and the application thereof. The modeling method includes the steps of collecting a soil sample, collecting the X-ray fluorescence spectrum of the sample, measuring the reference value of heavy metal element content to be measured in the soil sample, and establishing the correcting relation between the X-ray fluorescence spectrum and the reference value of heavy metal element content. The method can simultaneously perform rapid nondestructive examination to various heavy metal element contents of soil, has wide range of application and high universality and provides a technological base for the on-site detection of farmland soil heavy metal pollution.

The invention relates to a molecular imprinting chemiluminescence sensor for detecting trace amount pesticide residues, belonging to the technical field of the detection of the pesticide residues. Theinvention also relates to a method for detecting the trace amount pesticide residues contained in agricultural product samples by using the molecular imprinting chemiluminescence sensor, which comprises the following steps: (1) selecting a functional monomer; (2) uniformly mixing a template molecule, the functional monomer, a cross linker, a pore-forming agent, an initiating agent and a silicon source to prepare an MIPs collosol according to a mole ratio of 0.1-1 to 1-10 to 5-25 to 20-60 to 0.05-0.15 to 20-50; (3) preparing a quantum dot material solution; and (4) modifying the MIPs collosoland quantum dot materials to the surface of a millipore plate to manufacture the chemiluminescence sensor by a layer-layer self-assembly surface modification technique. The invention has the advantages of high specificity and sensitivity, fast detection, low cost, good repeatability and convenient field detection on the detection of the pesticide residues.

The invention provides a full-automatic and high-throughput micro-fluidic chip system and method for detecting pesticide residue, used for field detection of pesticide residue based on enzyme inhibition reaction. The full-automatic and high-throughput micro-fluidic chip system is mainly composed of a portable analytical detector and a disposable micro-fluidic chip; the plastic polymer material of the micro-fluidic chip is manufactured through existing micro-machining technology; the micro-fluidic chip is composed of a central clamping groove, an extraction chamber, a sample chamber, a reaction chamber, a detection chamber, a micro-groove, a micro-hole and a quality control bar code; reagents (comprising an extracting solution, enzyme, a colour developing agent and the like) required for detecting pesticide residue are fixed in the micro-fluidic chip; the functions of sampling automatically and quantitatively, distributing a fluid, carrying out biochemical reaction and molecular recognition and the like can be realized; a fluid operation and control module, a photoelectric detection module, a data analyzing and processing module and an information storage and communication module are integrated in the portable analytical detector; operation and control of biochemical reaction in the micro-fluidic chip and rapid analysis and detection of to-be-detected indexes and pesticide residue can be realized; and thus, the micro-fluidic chip system and the method provided by the invention are particularly applied to full-automatic and high-throughput detecting and screening of pesticide residue in the samples, such as fruits, vegetables, soil and water.

This invention relates to a method for in-situ detection of aerosol particle concentration and detector thereof. <0}Wherein, putting the pipe-shaped probe with a positive/negative high voltage electrode metal wire for forming at least one corona field into the airflow with aerosol particle; forcing the gas flow the firmer field to let partial aerosol particles bring negative charge; in the corona field, depositing the charged particles on the positive electrode; detecting the current or voltage variation of the circuit connected with the positive electrode; comparing the detection data with standard or conventional result for scaling and the corresponding relation curve or empirical formula; finally, getting the particle concentration. This invention has wide application.

The invention relates to the technical field of biology, and specifically provides a detection kit for a detection kit for antigens of a novel coronavirus (SARS-CoV-2). According to the detection kitprovided by the invention, the antigens of the SARS-CoV-2 are detected by virtue of a colloidal gold double antibody sandwich method, and two monoclonal antibodies and colloidal gold are mixed for labeling, so that a detection result of the antigens of the SARS-CoV-2 is accurate and high in sensitivity, and meanwhile, the detection rate can be remarkably increased. According to the detection kit,a blank in immunological detection of the SARS-CoV-2 is filled up, and field detection can be realized without a detection instrument, so that the time and the labor are saved, and operation is flexible.

The invention relates to a metal powder laser rapid prototyping technology, in particular to a temperature field detecting method and the system device in the working process of the rapid prototyping of the metal powder. The invention adopts dual wavelength infrared image colorimetric temperature measuring method, the optical filters in two wavelengths are alternately arranged in the gathering optical path at different times, the image in the fused bath from two different wavelength are continuously and orderly gathered, and the color matching calculation of the gradation of the two infrared image from different wavelength are performed, according to the relationship between the color matching value and the temperature value, the temperature value of each point of the image is acquired, the temperature value is represented by the tonal value and a gradation image is formed, the gradation image then is processed, and the shape and temperature changing trend is acquired. By adopting the invention, the temperature distribution and the changing trend of the temperature field of the fused bath can be detected in real time during the rapid prototyping process of the metal powder, and then the temperature of the work piece process parameter can be adjusted in real time.

The invention relates to an optical fiber field connector. A dismountable sleeve bin is sleeved outside a main body; the main body and the dismountable sleeve bin are provided with standard type interfaces; the main body is in a hollow structure; an optical fiber core insert is arranged at the front end of the main body; a preset optical fiber is arranged in the optical fiber core insert; a tail sleeve is arranged at the back end of the optical fiber core insert; a mechanical joint consisting of a substrate, a splint and a lantern ring is arranged in the main body; the front end of the mechanical joint is abutted with the optical fiber core insert, and the back end of the mechanical joint is connected with the tail sleeve through a guiding device and a damping device; a second optical fiber is arranged in the tail sleeve; and an outer protecting sleeve adopts a rotary screw thread structure to clamp the tail sleeve to prevent the second optical fiber from falling off and sliding. In the optical fiber field connector of the invention, the second tail end of the preset optical fiber is connected with the second optical fiber, a connection protecting box is not needed, storage protection for a bare optical fiber is unnecessary, when the optical fiber field connector is assembled, a special tool and grinding are not needed, whether the connection is successful can be detected at the field, and after installation, the field connector can be repeatedly opened for use.

The invention discloses an abnormal electricity utilization user detection method based on semi-supervised learning, belonging to the technical field of detection. The method comprises the following steps: data preprocessing; generation of a first grade grey list based on clustering analysis; generation of a second grade grey list based on outlier degree calculation; and generation of a third grade grey list based on similarity calculation. An abnormal electricity utilization user detection model based on semi-supervised learning in the invention aims at forming a user dubiety degree ordered list, thus a key detection list is provided for manual detection, and accuracy and efficiency of on-site detection are improved.

The invention relates to an electric energy meter abnormity diagnosis method comprising the following steps: in a first step, electric energy meter data and event data are obtained via on-site detection and an electric energy information collection system; in a second step, the electric energy meter data and the event data that are obtained in the first step are subjected to single abnormity analysis operation which comprises six types of intelligent diagnosis and analysis models, and each intelligent diagnosis and analysis model comprises a number of intelligent diagnosis themes; in a third step, single abnormity analysis and diagnosis results of the intelligent diagnosis themes obtained in the second step are output to on-site detection personnel, and the on-site detection personnel can be assisted in electric energy meter detection and diagnosis. Via technological means such as data comparison, statistical analysis, data mining and the like, the electric energy meter abnormity diagnosis method can be used for diagnosing and analyzing electric energy meter operation conditions, and whether an electric energy meter is in a normal operation state can be effectively determined.

The invention discloses a flow cable partial discharge online monitoring system, comprising a high frequency sensor, an extra-high frequency sensor, a preposition conditioning unit, a detection front end and a portable detection terminal, wherein the preposition conditioning unit comprises a preposition high frequency conditioning unit and a preposition extra-high frequency conditioning unit; the preposition high frequency conditioning unit is correspondingly connected with the high frequency sensor; the preposition extra-high frequency conditioning unit is correspondingly connected with the extra-high frequency sensor; the detection front end is connected with the preposition conditioning unit, and is used for collecting a signal transmitted by the preposition conditioning unit and sending relevant data after characteristic parameters of the signal are extracted; the portable detection terminal is wirelessly connected with the detection front end, and is used for receiving data sent by the detection front end and performing analysis and diagnosis on the data. The flow cable partial discharge online monitoring system is flexible and convenient to use, large in the coverage area, and capable of continuously working for a long time, greatly improving the antijamming capability of the field, and improving the reliability of a field detection result.

The invention discloses a multi-mode parallel video quality fault detection device and a corresponding method. The device of the invention comprises a video partitioning module, a black field detection module, a static frame detection module, a mosaic detection module, a silence detection module, and a detection result merging module. Correspondingly, the method of the invention also comprises six steps, i.e., a video partitioning step, a black field detection step, a static frame detection step, a mosaic detection step, a silence detection step, and a detection result merging step. The technical scheme of the invention is adopted, through a framework of parallelization analysis, analysis work of video quality is divided to a plurality of CPUs to be carried out, and a corresponding system is realized, thereby greatly improving the speed of video quality examination.

The invention discloses a fluorescence immunochromatography device for detecting a novel coronavirus COVID-19 and a using method of the fluorescence immunochromatography device. The fluorescence immunochromatography device disclosed by the invention is high in sensitivity and strong in specificity, the accuracy is high, the detection sensitivity can reach 10pg/ml, the detection speed is high, theoperation is simple, the device is portable, the requirement for personnel is low, the operation of professionals is not needed, the detection cost is low, the device can be applied to preliminary screening of various places such as hospitals, airports, customs and disease control centers, the detection time (10-15 min) is short, a simpler, more convenient and faster field detection means is provided for suspected patient investigation and asymptomatic infected person screening, and therefore epidemic spreading is prevented as soon as possible.

The invention belongs to the technical field of biological analysis and detection, in particular relates to a biological detection microfluidic chip based on immune reaction and a preparation method thereof. The chip takes optically transparent polydimethylsiloxane as a material and comprises a sample channel layer, a valve control layer and a substrate layer. The chip contains a sample enrichment and immunoassay module which comprises one or a plurality of nanolitre-size immune chromatographic column micro-analysis rooms, wherein each analysis room is fixed with antibody protein or antigen and is used for realizing rapid field detection of a plurality of antigen samples, such as bacteria, viruses and various toxins. The invention has the characteristics of fast speed, high efficiency, convenient carrying, low cost and easy automation control, and is capable of finishing automatic signal acquisition, remote transmission and signal analysis and suitable for rapid field detection and large-range remote detection of a plurality of antigens with the existence of commercial antibodies.

The invention discloses a supersonic speed flow field detecting system based on H-S wave front sensor, which is formed by a He-Ne laser, a light beam expander, a supersonic speed wind tunnel generating the flow field, a detected model, an H-S wave front sensor, a picture collecting card and a data collect processing computer. Wherein, the invention can easily attain the wave phase distribution of laser that has passed the flow field and the light beam aberration character, as wave three-dimensional distribution, PV valve, RMS, and Zernike aberration parameters, to attain the light beam remote field distribution, light beam mass center excursion character, encircled energy, etc, while said invention is based on Hageman-shark wave front sensor to effectively display the building, stabilizing and completing of said flow field. And the inventive data analyze processing software has better real-time property to apply flow field dynamic character detection.

The invention relates to a reagent kit and a detecting method for using loop-mediated isothermal amplification (LAMP) technique to detect aeromonas caviae, which belongs to the pathogen diagnosis field. The main technical scheme of the invention comprises: utilizing the LAMP technique, designing four pairs of high specificity primers aiming at six zones of 16s and 23s ribosome RNA gene transcription spacer region, and achieving the purpose for detecting the aeromonas caviae with specificity. Compared with a traditional method, equipment and operational steps which are needed in the method are simple, the method has the advantages of rapidness and high specificity, and the detecting cost is lower, which is suitable for common clinics and field detections.

It is a kind of portable gas detecting device. It has the gas-collecting device(1), the buffer air-pocket(2) and the gas measuring room(3). The gas to be measured will by steps go through(1), (2) and then it will go into (3). After the gas goes through (1), the concentration of the gas will improve to 10-100 times of the former concentration. The gas sensor group and the signal interface are set in the seal cavity (33) of (3), and the gas sensor group is made up of 4 parallel metal oxide sensors and 4 parallel carbon nanometer pipe sensors. Compared with existing technology, this invention has the merits below. Firstly the detecting low limit of the machine is 1-2 orders lower than that of the sensor itself. Secondly the protected gas measuring room can decrease the effect on the sensor from the temperature, humidness and gas streaming. The dynamic detecting technology can fully use the sensitive area of the sensor, and increase the information content of the response signal. At last, the device can be used for field detecting.

Light from a laser source is split into a reference arm and a detection arm. The light in the detection arm is focused into a channel containing particles to be detected and is backscattered by the particles. The light in the reference arm is attenuated. The attenuated and backscattered light are caused to interfere and detected by a split detector so that the effects of background light can be subtracted out, while the backscattered light is detected to detect the particles.

A tunnel fire early-warning controlling method based on multi-sensor data fusion technology and a system using the tunnel fire early-warning controlling method based on the multi-sensor data fusion technology comprise steps as below: recording of history data of a main sensor group, reading of data of an auxiliary sensor group at a regular time, calculation of a neural network, passing back of a calculation result, execution controlling on site and the like, and the system specially using the tunnel fire early-warning controlling method based on the multi-sensor data fusion technology comprises a site detection device, a data processing device and an alarming displaying device. The tunnel fire early-warning controlling method based on the multi-sensor data fusion technology comprises a dynamic and flexible fire disaster threshold value adjusting method, namely, a method calculating with a neural network to analyze current data of the history data of the main sensor group and the auxiliary sensor group to obtain a fire disaster threshold value of current environment factors, and the original fire disaster threshold value is replaced by the new fire disaster threshold value. The tunnel fire early-warning controlling method based on the multi-sensor data fusion technology can effectively reduce judgment differences of a fire disaster caused by changing of environment of the tunnel, and reduce misstatement rate and missing reporting rate of the funnel fire disaster early-warning system.