12results about How to "Effective detection" patented technology

This invention belongs to the field of quality inspection technology and provides a method and system for nonwoven fabric quality inspection based on image recognition and AI analysis. It obtains a steady-state image by preprocessing the target grayscale image of the nonwoven fabric surface and performs edge detection to obtain multiple grayscale sub-regions. Then, multiple clustering domains are constructed based on grayscale primitives. The similarity fitting degree of all clustering domains is calculated, and abnormal clustering domains are screened out. Finally, the connectivity feature value between the abnormal clustering domain and adjacent clustering domains is calculated, and the presence of fiber nodules in the abnormal clustering domain is determined based on this feature value. This method can quickly and accurately locate areas that may have defects, reduce manual intervention, and improve the automation and accuracy of inspection. Therefore, while ensuring product quality, it also improves production efficiency and avoids potential quality problems.

A lipid-lowering traditional Chinese medicine Qingzhi Huayu recipe and a detection method of sugar components contained therein, comprising: water decoction extraction and concentration of traditional Chinese medicine decoction pieces constituting the lipid-lowering traditional Chinese medicine Qingzhi Huayu recipe to obtain water extract dry products, preparation of standard solution from the water extract dry products, liquid chromatography-electrospray detection by high performance liquid chromatography-electrospray detector to obtain standard liquid chromatogram and mark the characteristic peaks therein, then comparison with the liquid chromatogram of the detected decoction / patent medicine obtained by the same method to determine whether the detected decoction / patent medicine belongs to the lipid-lowering traditional Chinese medicine Qingzhi Huayu recipe, and to determine the six sugar substances contained in the detected decoction / patent medicine, and further comparison with the area of the corresponding sugar characteristic peak in the standard liquid chromatogram to determine the content of the corresponding sugar. The detection method and the standard provided by the application can be used as the basis for formulating the quality control standard and the quality detection standard of the lipid-lowering traditional Chinese medicine Qingzhi Huayu recipe decoction / patent medicine.

This invention provides a set of gingival crevicular fluid biomarkers for detecting acute and chronic periodontal inflammation, their applications, reagent kits, and methods for preparing the kits, belonging to the field of biomedical technology. The biomarkers of this invention include one or more of IL-1β, IL-6, IL-8, IL-17A, TNF-α, GM-CSF, IL-17F, MCP-1, and MIP-1a. Using the biomarkers provided by this invention or the kits prepared therefrom for the diagnosis of acute and chronic periodontal inflammation has the advantages of rapid detection, accuracy, and low cost, and has broad application prospects.

The utility model relates to a pressure guide pipe structure and a pressure measuring device, and relates to the technical field of measuring instruments. The pressure guide pipe structure comprises a barrel assembly, a guide pipe assembly and an adsorption assembly. The guide pipe assembly is arranged in the cylinder assembly in a penetrating manner, and the guide pipe assembly is configured to allow a pressure taking medium to flow; the adsorption assembly is arranged on the outer wall of the guide pipe assembly, and the adsorption assembly is used for adsorbing impurities in the pressure taking medium; the drying assembly is arranged on the outer wall of the guide pipe assembly and used for adsorbing moisture in the pressure taking medium, and the drying assembly and the adsorption assembly are arranged at intervals in the axial direction of the barrel assembly so that the barrel assembly can be divided into a first cavity, a second cavity and a third cavity which are sequentially arranged in the axial direction and communicate with one another; wherein the first cavity and the third cavity are respectively communicated with the catheter assembly. According to the technical scheme disclosed by the utility model, the interference of impurities and the like in the pressure sampling medium on the measurement precision can be avoided, and the pressure source can be accurately transmitted to the measurement instrument by the pressure guide pipe.

This invention relates to the field of electronic circuit breaker protection technology, specifically to an intelligent overload protection and fault diagnosis method and device for electronic circuit breakers. The device includes: a multi-source data acquisition unit, an edge processing unit, a protection drive execution unit, a human-machine interaction unit, a cloud interaction unit, and a power management unit. This invention solves the problem of existing electronic circuit breaker protection schemes considering only a single factor. By using a dynamic thermal balance equation and a modified inverse-time action expression, it comprehensively considers the effects of ambient temperature, conductor aging, power grid harmonics, and load type, reducing protection action errors. In nonlinear load scenarios, the protection action error is small, avoiding false tripping or failure to trip, and balancing speed and power supply selectivity.

This application relates to the field of mass spectrometry analysis and detection technology, and in particular to a detection method for enhancing ion recognition, comprising the following steps: Step 1, placing an ultrasonic standing wave device within an ion source, the ultrasonic standing wave device including at least two oppositely arranged acoustic transducer units for emitting sound waves of the same frequency and opposite propagation directions to superimpose and form an ultrasonic standing wave field, and also including a triaxial adjustment mechanism; Step 2, the two acoustic transducer units extending into the ion source cavity and located on both sides of the nozzle, adjusting the position of the acoustic transducer units using the triaxial adjustment mechanism so that the acoustic transducer units are close to the rear of the nozzle, and the center height of the acoustic transducer units is lower than the tip of the nozzle; Step 3, adjusting the spacing between the two acoustic transducer units; Step 4, aligning the standing wave node axially with the entrance of the mass spectrometer detector. This method can enhance the focusing of sample ions, thereby improving the ion recognition effect of the mass spectrometer detector, without changing the internal structure of the ion source.

The invention discloses a three-phase circuit breaker mechanical state intelligent diagnosis and fault prediction method and system, and relates to the technical field of power equipment state monitoring and intelligent operation and maintenance. The method comprises the following steps: synchronously acquiring three-phase vibration and acoustic signals in a same opening / closing window, performing stage segmentation after preprocessing, constructing stage fusion features, and obtaining three-phase characterization vectors of all stages through a shared characterization encoder; inter-phase comparison self-supervised learning is carried out only by using health data, and inter-phase consistency constraints are introduced. Inter-phase mismatch is calculated on line, a stage-phase anomaly score and a total anomaly score are obtained based on a health statistical model, an abnormal phase and an abnormal stage are output when a threshold value is exceeded, and key time slice / frequency band evidence is generated; and constructing a health index sequence according to the total abnormal score and predicting the residual life. According to the invention, fault label dependence can be reduced, abnormal positioning interpretability and cross-working-condition stability are improved, and predictive maintenance is supported.

This utility model discloses a flexible six-sided appearance inspection machine in the field of appearance inspection technology, including a frame and a main control computer. An upper housing is provided on the upper part of the frame, and a main door is provided on the front of the upper housing. A second translational structure component is provided inside the upper housing, and a movable tray is provided on the second translational structure component. The movable tray moves along the second translational structure component. The main inspection unit of this utility model is equipped with three sets of inspection components: a top camera, a bottom camera, and a side camera. Combined with a rotatable and adjustable suction nozzle, it can effectively perform appearance and dimensional inspections on all six sides of a product, effectively improving inspection efficiency. The inspection machine is equipped with a main control computer to meet the appearance inspection needs of different products. The equipment is equipped with an emergency stop button, and a protective cover is provided at the emergency stop button to effectively improve the safety of the equipment operation.

The invention discloses a high-power converter anomaly detection method based on space-time cascade representation learning, and the method comprises the steps: firstly, extracting a spatial relation between the features of each dimension through a spatial aggregation matrix according to a plurality of types of features, collected in real time, of a load end voltage signal of a high-power converter; based on the matrix, calculating an attention weight through a multi-head attention mechanism so as to extract local and global features in a time dimension; and the time sequence is reconstructed through an auto-encoder structure, and a reconstruction error is used as a monitoring index to complete the purpose of anomaly detection of the high-power converter.

This invention relates to the field of chemical analysis technology, specifically to a method for detecting oxidized condensed tannins in red wine. The test solution containing oxidized condensed tannins is divided into a treatment solution and a blank control solution. An acidic depolymerization reagent is used to depolymerize the treatment solution, yielding a depolymerized solution. Ultra-high performance liquid chromatography-triple quadrupole mass spectrometry (UHPLC-MS / MS) is used to detect the depolymerized solution and the blank control solution separately, and the content of oxidized condensed tannins is calculated. The acidic depolymerization reagent includes menthol furan and hydrochloric acid, with the concentration of menthol furan being 15-25 mmol / L and the concentration of hydrochloric acid being 0.4-0.6 mol / L. This method is the first to achieve simultaneous qualitative and quantitative analysis of the constituent units of natural, quinone-oxidized, and acetaldehyde-oxidized condensed tannins. It has the advantages of being non-toxic and odorless, suitable for routine laboratory use, and provides an effective method for predicting the degree of oxidation and aging potential of wine.

The application discloses a s-SNOM sub-surface defect fine imaging method and system based on polarization laser scattering guidance, belongs to the technical field of optical nondestructive testing, and is realized based on a laser, a polarizer, a polarization modulator, a to-be-detected sample, a light splitter array, a polarimeter array and a detector which are sequentially arranged along a laser propagation direction, and the to-be-detected sample contains a sub-surface defect. Firstly, polarization scattering fast detection is carried out on the to-be-detected sample to obtain polarization scattering data; secondly, quantitative analysis and risk assessment are carried out on sub-surface structure non-uniformity to obtain a region of interest; thirdly, region of interest extraction and detection task scheduling are carried out on a high-risk region; and finally, high-resolution near-field scanning imaging is carried out on the region of interest. On the basis of maintaining the high-resolution imaging advantage of the s-SNOM, the prior guidance mechanism is introduced, cross-scale cooperation between polarization scattering information and near-field imaging can be realized, and efficiency and precision are taken into account in large-area sample detection.

This application relates to the technical field of disease prevention and control in aquaculture, specifically to a nanobody against white spot syndrome virus (WSSV) VP19 in shrimp and its application. The nanobody comprises CDR1, CDR2, and CDR3; wherein the amino acid sequences of CDR1, CDR2, and CDR3 are shown in SEQ ID NO. 1-3, respectively; or, the amino acid sequences of CDR1, CDR2, and CDR3 are shown in SEQ ID NO. 8-10, respectively. The nanobody provided in this application can be administered orally by mixing with feed and exhibits high specificity and affinity. Furthermore, this nanobody can cross the tissue barrier and bind to WSSV epitope proteins, blocking the binding of WSSV to host cells, thereby achieving the purpose of preventing and treating WSSV.