18results about How to "Accurate exclusion" patented technology

The invention relates to a high-specificity diagnostic reagent and kit for mycobacterium tuberculosis infection, and relates to the technical field of tuberculosis diagnostic products. The fusion protein contains a first fusion protein and a second fusion protein; the first fusion protein is a protein ESAT-6-CFP-10 encoded by a mycobacterium tuberculosis genome RD1 region, and the second fusion protein is a protein CFP-21-MPT-64 encoded by a mycobacterium tuberculosis genome RD2 region. According to the invention, tuberculosis specific RD2 region antigens CFP21 and MPT64 and RD1 region antigens ESAT-6 and CFP-10 are combined to be applied to diagnosis of mycobacterium tuberculosis infection for the first time, by virtue of the difference degree of RD1 and RD2 in mycobacterium antigen cross reactivity, immunogenicity advantages of the two antigens are concentrated, epitopes of the antigens are increased, human MHC limitation and polymorphism are overcome, and advantage complementation is achieved.

The invention discloses a display screen defect detection method, device and system, electronic equipment and a storage medium, and belongs to the technical field of defect detection. The method comprises the steps that a first image and a second image of a display screen are acquired, the first image is an image when the display screen is in a lightened state, and the second image is an image when the display screen is in an extinguished state and is irradiated by a light source; performing image fusion on the first image and the second image to obtain a target fusion image; the target fusion image is input to a target classification model, a defect classification result output by the target classification model is obtained, the defect classification result is used for representing whether the defect of the target fusion image is an appearance defect, and the target classification model is a pre-trained deep learning classification network; and determining a defect detection result of the display screen based on the image data of which the defect classification result is non-appearance defect. According to the method, external interference factors such as dust can be accurately removed, the first pass yield of product detection is remarkably improved, and the over-killing rate is effectively reduced.

The invention belongs to the technical field of biology, and particularly relates to an SNP (Single Nucleotide Polymorphism) site combination for identifying the variety of Fengcheng shelducks and an identification method of the SNP site combination. The SNP site combination for identifying the variety of the Fengcheng sheldrake is selected from any one to five of FC1P sites to FC5P sites. The invention further provides an SNP primer combination and a detection method for identifying the Fengcheng sheldrake variety. The SNP primer combination and the detection method are easy and convenient to operate and high in accuracy.

The invention relates to the technical field of remote sensing, and discloses a forestry loss value evaluation method, device and equipment and a storage medium. A second time sequence image data set and a first fitting model are combined to calculate a first difference image; and the change condition of the vegetation in the cloud-free area of the remote sensing image after typhoon disaster relative to the non-disaster state can be intuitively and quantitatively displayed. Furthermore, model training is carried out by using the environmental influence factor set and the first difference image, and a deep relationship rule of the influence of the typhoon disaster hidden behind the complex data on the forest can be mined. Furthermore, the normalized vegetation index difference value of the cloud coverage area is predicted by using the constructed model to generate a second difference value image, so that the spatial representation information of the disaster condition of the whole typhoon disaster area can be perfected. And finally, in combination with the real forestry loss value, the first difference image and the second difference image, rapid evaluation of the forestry loss value in the whole typhoon affected area can be realized.

The present invention relates to the field of workpiece detection, and discloses a device crack detection system based on millimeter wave imaging radar, a data module, which is used to collect point cloud data of a good workpiece and generate a point cloud model of the whole good workpiece based on the point cloud data; a deviation module, which is used to divide the point cloud model of the good workpiece into sub-areas, generate first point cloud data of each sub-area, and use the corresponding part of the point cloud data in the whole point cloud model of the good workpiece as the second point cloud data, calculate the difference based on the first point cloud data and the second point cloud data, and generate the deviation factor of each sub-area; a detection module, which is used to generate feature point cloud data of each sub-area of ​​the target workpiece.

The present invention relates to a sulfide detection device based on gas phase molecules, comprising: a sampling device, a dosing device, a gas generating device, an air generating device, a gas-liquid separation device, a waste liquid receiving device, a gas drying device, a detection device and a waste gas absorption device; and also comprising an interference removal device; the interference removal device comprises a hydrogen peroxide dosing tube, a hydrogen peroxide dosing pump and a mixing tube winding rack; a mixing tube is wound on the mixing tube winding rack; the sampling device comprises an automatic sampler and a sample injection pump; the dosing device comprises a six-way valve, an acid injection pump and an acid injection tube. The beneficial effects of the present invention are: the sulfide detection device based on gas phase molecules is suitable for various types of wastewater detection, and can efficiently and quickly reduce the positive interference of sulfite in sulfide detection; the sulfide detection device based on gas phase molecules is reliable and stable, and an interference elimination device can be added to the original gas phase molecule absorption spectrometer, which is easy to implement.

The invention relates to the technical field of aircraft environment control, in particular to a fault diagnosis method for a pneumatic cabin pressure regulator under the condition of ultrahigh cabin excess pressure. A control mechanism and an execution mechanism of the pneumatic cabin pressure regulator are in indirect control, a real-time proportion value is obtained by setting proportion threshold values and collecting atmospheric static pressure, cabin pressure and control cavity pressure, and the two threshold values are compared, so that a fault diagnosis conclusion is obtained. By means of the fault diagnosis method, whether the cabin pressure regulator breaks down or not can be rapidly positioned, it is guaranteed that the fault position is accurately removed, the fault analysis and confirmation time is shortened, the troubleshooting efficiency is improved, the situation that the fault cannot be removed for a long time is avoided, and the perfectness ratio of an airplane is increased.

The invention discloses application of circular RNA (Ribonucleic Acid) in forensic injury time inference, and belongs to the fields of genetic engineering technology and medicine. A circular RNA molecule Agl which does not exist in a circular RNA database is screened out for the first time through analysis of a tissue whole genome sequencing technology, and it is found that the expression quantity of the molecule is high, the expression quantity of the molecule is obviously increased along with prolonging of damage time within a certain period of time, and the molecule has significant correlation with the damage time; the damage time can be deduced according to the change of the content of the circular RNA in the damaged tissue, a reliable guarantee is provided for timely and accurately excluding or affirming suspicious persons, and the method has important forensic significance.

The invention relates to the field of workpiece detection, and discloses a device crack detection system based on a millimeter wave imaging radar, and the system comprises a data module which is used for collecting point cloud data of a non-defective workpiece and generating a point cloud model of the whole non-defective workpiece based on the point cloud data; the deviation module is used for performing sub-region division on the point cloud model of the non-defective workpiece, generating first point cloud data of each sub-region, taking corresponding partial point cloud data in the overall point cloud model of the non-defective workpiece as second point cloud data, calculating a difference value based on the first point cloud data and the second point cloud data, and generating a deviation factor of each sub-region; and the detection module is used for generating feature point cloud data of each sub-region of the target workpiece.

The invention discloses a pipeline fault removal method, device and system. The pipeline fault removal method comprises the steps that S1, speed reduction treatment is conducted; s2, liquid discharge and capacity expansion; s3, depressurizing and unlocking; and S4, the process is recovered, the pipeline fault removal device comprises a speed reduction device, an expansion device, a removal device and a recovery device, and the pipeline fault removal system comprises a controller used for executing the pipeline fault removal method, a liquid inlet pipeline, a centrifugal container, a liquid drainage pipeline and a pump. Through the technical scheme provided by the invention, the pipeline fault can be accurately identified and eliminated, the detection result is fed back quickly, and the tolerance of the continuous flow is improved.

This invention provides an industrial waste gas monitoring method and system based on intelligent sensing. The method includes: collecting waste gas composition data and gas flow rate data, and determining predicted waste gas composition data through a waste gas treatment efficiency prediction model; determining a waste gas treatment time window, and then determining waste gas composition treatment efficiency indicators and waste gas early warning indicators, generating waste gas treatment prompt information and determining the waste gas early warning type. According to this invention, by setting waste gas composition sensors at multiple stages and considering the impact of gas flow rate on treatment efficiency, the waste gas composition treatment efficiency indicators can be determined through a waste gas treatment efficiency prediction model. This provides a basis for judging whether there are faults in each stage, and can also calculate waste gas early warning indicators to determine whether the overall waste gas treatment status meets the standards. In the event that waste gas treatment does not meet the standards, a prompt message can be generated, indicating the faulty stage, which is beneficial for accurately troubleshooting and reducing pollutant emissions.

The utility model provides a remote sensing satellite receiving antenna fault diagnosis and health management device, and belongs to the technical field of equipment fault diagnosis and health management. The system is mainly composed of an antenna health sensor group, a working condition monitoring device, an antenna control device, a front-end data acquisition device, a serial port server, an Ethernet switch, an antenna health management platform and the like. According to the utility model, health management sensor data are comprehensively utilized, real-time monitoring and evaluation of operation states of key components of the antenna system are realized locally and remotely through the fusion terminal of multiple sensors, and rapid and accurate positioning and elimination of antenna faults are realized for various acquired working parameters of the antenna system. The complex action of troubleshooting one by one is reduced, the troubleshooting efficiency of operators is improved, the troubleshooting time is shortened, the antenna is upgraded from post maintenance or regular maintenance to on-condition maintenance, and possible problems and faults of the system can be found in time.

This utility model belongs to the technical field of photovoltaic industry and discloses a feeding device that also inspects silicon wafers. It includes a feeding frame, with a feeding robot and a vision camera group for inspecting silicon wafers mounted on the upper part of the feeding frame. The vision camera group is located at the front end of the feeding robot. A bottom support plate is mounted on the bottom of the feeding frame, and a waste removal conveyor roller, a positioning conveyor roller, and a gripping conveyor roller are sequentially arranged on the bottom support plate. A buffer box is located at the end of the gripping conveyor roller, and a sorting machine conveyor roller is located on the adjacent side of the gripping conveyor roller. A waste removal and lowering drive assembly is located below the waste removal conveyor roller to tilt the waste removal conveyor roller downwards, allowing unqualified silicon wafers to enter the waste box. The waste box is also equipped at the front end of the waste removal and lowering drive assembly.

The invention aims to provide a polygon cutting method based on R-tree spatial index optimization. The method comprises the following steps: a, loading data: loading to-be-clipped original polygon surface element data and clipping element data, the clipping element data comprising line element data and polygon surface element data; b, generating hole points: identifying and extracting position points of all holes from the polygon surface element data; c, the polygon boundary is converted into line elements, wherein all the line elements are combined, and then the line elements are converted into polygon face elements; and d, eliminating polygons containing holes by using R-tree indexes, and outputting and storing results. The method can be applied to the technical field of GIS (Geographic Information System) processing.

The invention relates to a tire tread anomaly detection method and device, a vehicle and a storage medium, and the method comprises the steps: generating a real-time position and a rotation period of each tire according to a collected gear ring signal of at least one tire, and when it is recognized that an abnormal tire exists in a current vehicle according to a collected sound signal of at least one tire, determining that the abnormal tire exists in the current vehicle; the sector position of at least one abnormal tire is determined according to the sound wave period obtained through the sound signal and the real-time position of the corresponding tire; and determining at least one final abnormal tire and an abnormal position of each final abnormal tire according to the sector positions of the at least one target wheel and the at least one abnormal tire determined by the sound wave period and the rotation period of the at least one tire. Therefore, the abnormal position of the tire is recognized through voice, maintenance personnel are assisted in accurately eliminating abnormity, the problems that a user needs to find the position of a foreign matter with the help of other tools, or a non-metal object cannot be detected, and the cost is too high are solved, and the vehicle safety is improved.

An interference signal processing system for a nuclear power device relates to the technical field of data processing and comprises a data acquisition module, an instrument signal analysis module, a central control module and a signal processing algorithm module. The instrument signal analysis module is used for acquiring current signals of a plurality of instrument devices in the nuclear power device, decomposing the plurality of current signals and filtering the decomposed current signals; the data acquisition module is used for analyzing the current signal output by the instrument signal analysis module; the central control module is used for controlling the instrument signal module to filter the corresponding current signal again when the analysis result is abnormal; the signal processing algorithm module is used for receiving the current signal filtered by the instrument signal analysis module each time and judging the condition of an interference source in a plurality of pieces of instrument equipment after processing; and the position of the interference source can be accurately positioned.

The present invention belongs to the field of fire fighting technology, and in particular, relates to a group-based intelligent fire-fighting method and system thereof, comprising the following steps: S1, the control center selects a fire-fighting robot according to the location of the fire scene, S2, the selected fire-fighting robot performs a performance self-test, S3, the control center dispatches a fire-fighting robot that has passed the self-test to the fire scene, and S4, the fire-fighting robot performs the fire-fighting task. The group-based intelligent fire-fighting method and system provided by the present invention do not require on-site participation of personnel, have a high degree of intelligence, and in the case of a large fire, can enable multiple fire-fighting robots to work together, can use the visual sensors of the fire-fighting robots to quickly and accurately locate the fire scene, and extinguish the fire in its infancy, and realize the intelligent interconnection between the fire-fighting robot and the control center in the form of a cloud network, which greatly enhances the ability to handle fire situations and improves the efficiency of fire-fighting. At the same time, through real-time conversion, the corresponding number of fire-fighting robots can be accurately excluded, which can minimize the energy consumption of the system.

The invention provides an in-line optimal filling unit insertion algorithm for a multi-constraint problem, relates to the field of integrated circuit design automation, and is used for efficiently inserting filling units under the condition of meeting various design rules. Modeling parameters such as filling position information, filling type information and filling constraint cost are obtained, a multi-level solution space tree is constructed through the parameters, and each leaf node represents a possible filling scheme; traversing the solution space tree from top to bottom by adopting a dynamic programming algorithm, and performing pre-pruning operation according to the filling constraint cost to reduce the search space; finding a node with the minimum accumulated violation number by utilizing a backtracking algorithm, and backtracking to a root node through a father node pointer to obtain an optimal filling unit insertion scheme; the pre-pruning operation is performed by using the limitation of the filling constraint cost, so that the time complexity and the space complexity of the algorithm are reduced, and the algorithm efficiency is improved.