19results about How to "High detection cost" patented technology

The utility model provides a lens focusing assembly, a camera module and electronic equipment. The lens focusing assembly comprises a first lens mounting seat, a shell and a displacement detection device. The displacement detection device adopts a magnetic sensor and three magnetic pieces (detection magnetic assemblies) to carry out position detection. Wherein the polarities of the magnetic poles on the two sides of each of the first magnetic piece and the third magnetic piece in the second direction are opposite, and the polarities of the magnetic poles on the two sides of the second magnetic piece in the first direction are opposite. And the polarity of the second magnetic piece close to the first magnetic piece and the third magnetic piece is the same as the magnetic pole polarity of the sides, facing the shell, of the first magnetic piece and the third magnetic piece. When the magnetic sensor fixedly arranged on the shell translates relative to the detection magnetic assembly fixedly arranged on the first lens mounting seat, the position of the corresponding magnetic field intensity peak value is farther away from the second magnetic piece, so that the effective detection stroke of the displacement detection device is effectively increased, and the cost is reduced.

The present invention provides a hemodialysis concentrate and a preparation method thereof, belonging to the technical field of pharmaceutical preparations, the hemodialysis concentrate includes liquid A and liquid B; liquid A includes sodium chloride, potassium chloride, magnesium chloride, calcium chloride and citric acid; liquid B includes sodium bicarbonate; the method for preparing liquid A is: sodium chloride, potassium chloride, calcium chloride and magnesium chloride are added to dialysis water, and the feed is fed once, stirred evenly and then filtered in a circulation manner; after the quality inspection is qualified, citric acid is added for secondary feeding, pH=1.5~1.7 is controlled, stirred and circulated, and liquid A is obtained after the citric acid is tested and qualified; the method for preparing liquid B is: sodium bicarbonate is added to dialysis water, stirred evenly and then filtered in a circulation manner, and liquid B is obtained after the quality inspection is qualified. The present invention uses citric acid as the acid solution of liquid A, adopts secondary feeding when preparing liquid A, adjusts the addition order of the liquid preparation raw materials, and controls the temperature and pH value, so as to prepare a hemodialysis concentrate with high stability and strong quality and safety.

The invention relates to a method for quantitatively monitoring the pollution degree of groundwater. The method comprises the steps of near-infrared hyperspectral imaging, construction of a prediction model and fitting of a prediction function. The invention further provides a groundwater analysis system and application of the method. According to the method, a hyperspectral imaging technology is adopted to shoot a mixed sample of organic pollutants and water, key features of a sample image are obtained by combining an image preprocessing technology and a feature extraction technology, the sample features with remarkable performance are used as training data, and a machine learning algorithm is applied to obtain training data; the model can accurately predict the water-oil volume ratio in a sample, and meanwhile, provides spatial distribution of the organic pollutants in the environment, so that an efficient and innovative solution is provided for quantitative analysis of the organic pollutants.

The invention provides a sheep intramuscular fat content estimation method and system based on an ultrasonic image. The method comprises the following steps: acquiring the ultrasonic image; performing target area segmentation and marking on the ultrasonic image to obtain a target area mask; splicing the ultrasonic image with the target area mask to obtain a feature image; extracting image features of the feature image through a convolutional neural network; and on the basis of the image features, predicting through an MLP model to obtain an intramuscular fat content value. The IMF content can be objectively analyzed, and the accuracy and reliability of IMF content prediction are improved.

The invention discloses a method for determining impurities in a desloratadine oral solution, the impurities comprise a desloratadine impurity 1, the determination method adopts a high performance liquid chromatography, and the detection conditions of the high performance liquid chromatography are as follows: a chromatographic column is an octyl silane bonded silica gel column or an efficiency equivalent column; the detection wavelength is 254 + / -2nm; the detector is an ultraviolet detector; the column temperature is 35-45 DEG C; the flow rate is 1.1 to 1.3 mL / min; mobile phases: a dipotassium phosphate buffer solution, methanol and acetonitrile; the elution mode is isocratic elution. The determination method disclosed by the invention is good in specificity, good in separation degree, high in sensitivity and good in accuracy, can fully meet the requirements of impurity determination, has important meanings for evaluating the quality of raw material medicines and the advantages and disadvantages of a preparation process, controlling the quality of a final product and detecting a stable sample, and is high in practicability in actual quality control work.

The invention discloses a nucleic acid composition for detecting acute hemorrhagic conjunctivitis pathogens, a kit containing the nucleic acid composition and application of the nucleic acid composition. The nucleic acid combination comprises one or more of the following groups: a primer probe group 1: upstream and downstream primers and probes for detecting the enterovirus 70, wherein the sequence of the primer probe group 1 is shown as SEQ ID NO: 1-3; a primer probe group 2: upstream and downstream primers and probes for detecting 24-type variants of the coxsackie virus group A, wherein the sequences of the upstream and downstream primers and probes are shown as SEQ ID NO: 4-6; a primer probe group 3: upstream and downstream primers and probes for detecting the adenovirus subgenus B, wherein the sequences of the upstream and downstream primers and probes are shown as SEQ ID NO: 7-9; the sequence of the primer probe group 4 is shown as SEQ ID NO: 10 to SEQ ID NO: 12, and the primer probe group 4 is used for detecting upstream and downstream primers and probes of the adenovirus subgenus D. When the nucleic acid combination is used for detection, at least the advantages of high detection cost, high detection efficiency, high sensitivity and high specificity are achieved.

The invention discloses a duplex PCR primer group for detecting nosema bombycis and beauveria bassiana. The duplex PCR primer group comprises an upstream primer and a downstream primer which are used for detecting nosema bombycis, and an upstream primer and a downstream primer which are used for detecting beauveria bassiana, wherein the nucleotide sequences of the upstream primer and the downstream primer for detecting the nosema bombycis are respectively as shown in SEQ ID No. 1 and SEQ ID No. 2; the nucleotide sequences of the upstream primer and the downstream primer for detecting the beauveria bassiana are respectively shown as SEQ ID No. 3 and SEQ ID No. 4. The invention further provides application, a kit and a detection method. According to the present invention, the requirements of simultaneous diagnosis and monitoring of the nosema bombycis and the beauveria bassiana can be met, and characteristics of strong specificity, high sensitivity, wide detection range, high detection efficiency and rapid and simple operation are provided.

The application relates to a method and system for obtaining soil thickness in mountainous areas, and relates to the technical field of geological exploration. The method is characterized in that: a remote sensing image of a mountainous area is obtained, and the remote sensing image is filtered to obtain high-precision remote sensing image data; the high-precision remote sensing image data is interpreted to obtain a vegetation coverage degree map; the vegetation coverage degree map is extracted to obtain vegetation coverage degree data; soil thickness data measured in field work is obtained, and the soil thickness data and the vegetation coverage degree data are processed to obtain relationship data between the vegetation coverage degree data and the soil thickness; a soil thickness map of the mountainous area is obtained according to the relationship data between the vegetation coverage degree data and the soil thickness and the vegetation coverage degree map; and soil layer thickness values are obtained according to the soil thickness map. The application is suitable for the technical field of soil layer thickness detection in mountainous areas.

The present application relates to the technical field of steel strip defect detection, and particularly relates to a cold-rolled stainless steel strip surface defect detection device, which comprises a detection workbench, two groups of deviation prevention assemblies are slidably installed on the detection workbench; a width adjusting assembly is installed on one side of each group of the deviation prevention assemblies; a width adjusting driving assembly is installed on the detection workbench; a steel strip winding assembly is installed on the detection workbench; a steel strip clamping assembly is installed in the steel strip winding assembly; a clamping interval adjusting assembly is installed in the steel strip winding assembly; a clamping driving assembly is installed in the steel strip winding assembly; and a defect detector is fixedly installed in the middle of the detection workbench. The present application can detect the steel strip without completely disassembling the steel roll, thereby reducing the operation and maintenance costs of various devices and improving the detection work efficiency. In addition, the interval between the clamping plate and the deviation prevention wheel can be adjusted, and the present application can be applied to steel strips with various widths, thereby reducing the detection cost.

The invention relates to the technical field of alloy material wear resistance detection, and particularly discloses alloy material wear resistance detection equipment and a detection process. The wear resistance detection device comprises a mounting assembly used for mounting and fixing an alloy material sample, a driving assembly used for driving the wear resistance detection device, a friction assembly used for rubbing the alloy material sample and a load assembly used for applying a dynamic load, and the mounting assembly comprises a mounting plate, a bearing plate and a sliding seat; the driving assembly, the friction assembly and the load assembly are all mounted on the mounting plate, the driving assembly is located below the friction assembly, and the load assembly is located above the friction assembly. The method has the advantages that the thickness of the boronizing layer can be visually detected without additional detection equipment, complex dynamic load conditions can be applied, the detection and use cost is effectively reduced, and the detection efficiency is remarkably improved.

The present application belongs to the technical field of soil compaction degree prediction, and particularly relates to a soil compaction quality prediction method, medium and terminal based on image recognition, comprising the following steps: S10, collecting data of soil compaction degree and soil surface compaction pictures of sand under different conditions; S20, preprocessing the collected pictures, including picture normalization, grayscale and binarization processing, and constructing a data set; S30, constructing an improved CNN neural network model based on the preprocessed data set; S40, importing the data set into the improved CNN neural network model for pre-training to obtain a pre-training model; S50, importing the collected pictures into the pre-training model, and performing freezing and fine-tuning on the pre-training model to obtain a sand compaction quality prediction model; and S60, importing the preprocessed surface compaction pictures of the sand to be detected into the prediction model to output a compaction degree prediction value. The present application has simple process and convenient operation, the obtained prediction model has strong robustness and generalization ability, and the prediction efficiency and accuracy of sand compaction quality are high.

Disclosed are a method and a device for detecting a position of a piston rod (530), a hydraulic cylinder and a working machine. The method includes: acquiring a target image (620) at a target position (610); obtaining a pixel information corresponding to the target image (620); comparing the pixel information with a pixel database of the piston rod, a full-stroke pixel information (200) of the piston rod (530) and a relationship between the full-stroke pixel information (200) of the piston rod (530) and a displacement of the piston rod (530) are stored in the pixel database of the piston rod, and the full-stroke pixel information (200) at least comprises the pixel information within a range in which the piston rod (530) is configured to move relative to the target position (510); and determining a position information of the piston rod (530) based on a comparison result.

The invention discloses an LSQb steganography method based on scrambling encryption, and the method comprises the steps: amplifying a secret image and an obtained image, and converting the obtained image and a cover image into a quantum image in an NEQR form; sequentially carrying out Arnodean scrambling and Fibonacci scrambling on the obtained secret image, and embedding information of the secret image into the cover image to obtain a steganographic image; extracting the lowest two bits of the gray value of each pixel of the image at a receiving end, and carrying out inverse Fibonacci scrambling and inverse Arnodel scrambling on the extracted NEQR image in sequence; and converting the NEQR image obtained in the previous step into a classic image, compressing the obtained image into the size of a secret graph, and restoring the secret image. According to the invention, the concealment of secret image transmission is improved.

The invention relates to the technical field of rock ore testing, in particular to a chemical analysis method for nitratine ore components and application of the chemical analysis method. The method comprises the following steps: preparing a test solution by oscillating and filtering at room temperature; determining the content of nitrate radicals; determining the content of sodium ions; and calculating the content of sodium nitrate: calculating the content of sodium nitrate according to ion coordination. The method solves the problems that in the prior art, a nitratine ore chemical analysis method is tedious in operation, and standardized detection cannot be achieved, can provide a feasible method with a unified standard for nitratine ore detection, and can serve geological prospecting.

The invention discloses a hydrogen production circuit for a PEM electrolytic cell and an online impedance detection method of the hydrogen production circuit, and aims to overcome the defect that an existing electrolytic cell impedance detection method needs to be shut down. The circuit comprises a first power supply circuit as a current source and a second power supply circuit as a voltage source, the first power supply circuit is connected in series with a first end of a PEM load, and the second power supply circuit is connected in series with a second end of the PEM load. One of the first power supply circuit or the second power supply circuit is injected with excitation harmonic waves, voltage and current signal acquisition circuits are arranged at the two ends of the PEM load, and the excitation harmonic waves are generated through a control module. The aging state of the electrolytic cell can be detected online, so that performance reduction of the electrolytic cell can be found in time.

The present invention discloses a plastic product strength detection method and device based on non-contact measurement, which relates to the technical field of wind turbine monitoring. The method comprises: scanning a target detection object and constructing a three-dimensional model thereof, and then segmenting the target according to thickness and shape changes. The area proportion and morphological continuity relationship of the segmentation result are analyzed to determine the detection direction and sequence. The detection module is activated to perform ultrasonic detection, the waveform and propagation speed of the detection ultrasonic wave are collected and analyzed, and a mapping relationship between the waveform and propagation speed and the segmented area is established. Waveform alignment and comparison are performed according to a data list to obtain fitting deviation information. The hardness test result of the target detection object is determined according to the fitting deviation information, and the deviation position is positioned and fed back based on the three-dimensional model. The technical problems of low detection efficiency and high detection cost are solved, and the technical effect of reducing detection cost and improving detection efficiency is achieved.

The invention belongs to the technical field of oil field production, and particularly relates to an underground permanent casing damage dynamic clamping position measuring and monitoring method. At least one casing damage dynamic clamping position measuring and monitoring device is communicated with an oil pipe in an underground casing damage prone area; and casing damage detection is carried out on the casing in the casing damage easy-to-occur area through the casing damage dynamic clamping position measuring and monitoring device fixed underground. When casing damage monitoring is carried out on a casing in one or more sections of casing damage prone areas, one or more casing damage well diameter monitors are communicated with an oil pipe, when a plurality of casing damage dynamic clamping position measuring and monitoring devices are connected, every two adjacent casing damage dynamic clamping position measuring and monitoring devices are in short connection through the oil pipe, and the two ends of each monitoring device are communicated with the oil pipe through threads. The method for detecting the casing damage through the casing damage dynamic clamping position measuring and monitoring device arranged in the casing pipe in the casing damage prone area for a long time replaces an existing method for detecting the casing damage by putting a casing damage detecting caliper into the well bottom. And data monitoring does not need well stopping operation, so that the casing damage detection cost is reduced, and the detection efficiency and quality are improved.

The application belongs to the technical field of water pump leakproofness detection, and particularly relates to a water pump leakproofness detection system and a detection method, which comprise a supporting mechanism, and the top of the supporting mechanism is respectively provided with a conveying mechanism, an intermittent mechanism, a clamping positioning mechanism, a sealing mechanism and a leakproofness detection mechanism, and the supporting mechanism realizes supporting operation of the conveying mechanism, the intermittent mechanism, the clamping positioning mechanism, the sealing mechanism and the leakproofness detection mechanism. The water pump leakproofness detection system and the detection method realize quick installation and fixing in water pump detection through the clamping positioning mechanism, are simple to operate, enhance the installation efficiency, reduce the operation difficulty of workers, realize quick sealing operation through the sealing mechanism, have strong sealing effect, can also realize sealing operation when the inner wall of the sealing end of the water pump is irregular, prevent air leakage from causing detection failure and affecting the qualified rate of products, thereby enhancing the detection efficiency, reducing the influence caused by the inflow of unqualified products into the market, and having high automation degree in the whole detection process.

The invention provides a track detection and maintenance method and device based on 3D vision, equipment and a medium, and the method comprises the steps that a data collection module obtains point cloud data of a ground track in real time, and inputs the point cloud data to a preprocessing module; the preprocessing module preprocesses the point cloud data to obtain track data, and inputs the track data to the feature extraction module; the feature extraction module extracts feature data of the track data and inputs the feature data to the damage detection module; the damage detection module analyzes the feature data to generate detection data and inputs the detection data to the decision output module; and the decision output module generates a maintenance decision and a visualization result according to the detection data and a preset processing rule. The invention provides a real-time online, high-precision and intelligent track detection and maintenance method, the detection efficiency, continuity, stability and precision during track damage detection are remarkably improved, the maintenance efficiency and maintenance intelligence are improved, and the maintenance cost is reduced.