4385 results about "Rapid detection" patented technology

The invention discloses a road video event rapid detection method based on edge calculation, particularly relates to the field of computer vision and image processing, and is used for solving the problem of motion evidence distortion caused by frame-level sequential disorder and content gaps in a road monitoring video. The method comprises the following steps of: reading a video clip, constructing a time sequence correction graph according to inter-frame content similarity and boundary continuity, rearranging to generate a corrected sequence, outputting a frame consistency index, estimating a stable motion field and a continuity score on the corrected sequence, and writing back an image stabilization amplitude correction time anchor point; generating an event evidence sequence according to the stable motion field, combining track breakpoints according to a time sequence correction graph, initiating backtracking revision to return candidate event segments, and if consistency verification is executed on candidate events, performing cross-level revision on the time sequence correction graph and image stabilization amplitude to trigger the stable motion field to re-estimate and output a confirmation event; and issuing a trigger result and establishing a mapping index as a new fragment to initialize priori acceleration time sequence correction and judgment convergence.

The invention discloses an environment-adaptive transformer oil sample Raman spectrum detection method and related equipment, and relates to the field of optical sensing systems. The method comprises the following steps: collecting oil sample Raman spectrums and environmental parameters in multiple operation scenes, and constructing a multi-scene spectrum characteristic model and a standard fingerprint database; pre-processing and denoising parameters are adaptively set based on the environmental perception vector, and baseline correction and joint denoising are carried out on the original spectrum; scene discrimination is carried out by fusing the characteristics of peak position, peak height, peak width, integral area and the like, a scene-related component standard spectrum dictionary is generated, and the concentration and confidence of each target component are obtained by adopting constrained spectral line unmixing and quantitative calibration; and driving the fingerprint database and the model to update in combination with quality control indexes such as spectral shape relevancy and residual errors and a drift detection result. The system is composed of a Raman spectrum acquisition module, an environment monitoring module and a data processing module, and can improve the robustness and quantitative precision of Raman detection of transformer oil in a complex environment.

The present invention relates to the technical field of signal processing and fault diagnosis. The method of the present invention comprises: collecting a flame chemiluminescence signal, and performing adaptive filtering noise reduction processing; using an improved proper orthogonal decomposition method and a high-order mode to obtain comprehensive combustion feature information; developing a real-time synchrosqueezing transform algorithm to perform time-frequency analysis on data, and updating energy distribution in real time; taking into account sensor data to perform multi-parameter joint analysis to obtain a combustion state evaluation, using a plurality of high-speed cameras to acquire flame images from different angles, reconstructing three-dimensional flame morphology by means of a computer vision technology, and providing fault detection information; and constructing a fault prediction model to give an early warning of a combustion fault. The present method implements nondestructive and rapid detection of oscillating combustion faults, keeps rich information of flame images, reflects overall flame pulsation characteristics, increases the speed and accuracy of detection, and compensates for the defect of low frequency resolution of conventional time-frequency analysis methods.

The invention discloses a rapid nondestructive testing method and system for the lipid content and deterioration degree of red pine nuts based on hyperspectral imaging and deep learning, and belongs to the technical field of nondestructive testing of the quality and safety of agricultural and forestry products. The method is provided for solving the problems that an existing method for detecting the lipid content and the oxidation degree in the red pine nut kernels is generally complex in operation process, high in large-batch detection cost, long in consumed time and difficult to achieve detection in the whole storage and transportation process. The method is characterized by comprising the following steps: acquiring original near infrared spectrum data of a pine nut sample through a collected hyperspectrum; determining the lipid reference content truth value and the oxidation deterioration reference degree of the pine nut samples at different sampling times, and establishing a database according to the values; the method comprises the following steps: preprocessing collected original near infrared spectrum data of red pine nuts, and dividing red pine nut sample data collected in different batches into a training set and a verification set; and designing an improved one-dimensional cavity convolutional network based on a dynamic weight distribution module to construct a deep learning model, wherein the deep learning model is used for constructing a deep learning structure suitable for spectral feature analysis of the red pine nuts. And a back propagation algorithm is adopted to train the constructed model, and reverse updating of network weight parameters is realized by minimizing a loss function. When the performance of the constructed model meets the rapid detection requirement, the method is used for efficient and lossless synchronous detection of the lipid content and the oxidative rancidity degree of the red pine nuts.

The invention provides a nucleic acid aptamer for specific recognition of morphine and application of the nucleic acid aptamer, and belongs to the technical field of biosensing and detection. The nucleotide sequence of the nucleic acid aptamer is as shown in SEQ ID NO: 1. The screening method is based on a Capture-SELEX technology and comprises the key steps that streptavidin magnetic beads are used for fixing an ssDNA library, estradiol, deabietic acid and totarol are introduced to serve as reverse screening substances so as to remove non-specific sequences, and finally the high-specificity aptamer is obtained through high-throughput sequencing and affinity determination. The dissociation constant of the aptamer and morphine is 127.31 nM, and the aptamer shows high affinity and high specificity. The invention further relates to application of the aptamer in preparation of a sensor and a kit for detecting morphine, and a new technical means is provided for rapid detection of morphine.

The invention relates to an organic matter near infrared spectrum inversion method and device for removing moisture based on radiation. The method comprises the steps that after a soil sample is pretreated, multiple moisture content gradients are regulated and controlled, the natural moisture permeation state is simulated, visible light-near infrared spectrum data and the organic matter content are collected, and a soil spectrum library is constructed; quantifying the interference weight of moisture on the spectrum by using a physical radiation transmission model to obtain a preliminary correction spectrum; moisture and organic matter features are extracted through a deep learning multi-branch architecture, a moisture characterization index is constructed, cross-domain feature alignment is realized in combination with a domain adversarial network, and an accurate correction spectrum is obtained; all the modules are integrated to construct a soil moisture elimination reconstruction spectrum model, after layered verification and iterative optimization, a to-be-detected soil spectrum is input into the model, organic matter content near infrared spectrum inversion is completed, and a result is output. According to the method, moisture interference is removed through combination of physical radiation and deep learning, the inversion precision is improved, and the method is suitable for rapid detection of organic matters in various moisture-containing soil.

The invention relates to the technical field of electronics, and discloses a drainage pipe network pollutant tracing method, device and equipment, a medium and a program product. According to the method, the map similarity between a first three-dimensional fluorescence spectrum map corresponding to a first water sample of a target node and a second three-dimensional fluorescence spectrum map corresponding to each upstream pipe network node is calculated; and determining at least one target upstream pipe network node in the plurality of upstream pipe network nodes based on the map similarity, and determining pollution source information of abnormal water in a target node according to first water quality data of the target upstream pipe network node and second water quality data on a sewage flowing path between the target upstream pipe network node and the target node, the advantages of high sensitivity, rapid detection and the like of the three-dimensional fluorescence spectrum technology are utilized in the pollutant traceability process, and efficient and accurate traceability of pipe network pollutants is achieved.

The invention discloses a ship propulsion control system and method, and relates to the technical field of ship engineering.The ship propulsion control system comprises an acquisition module used for acquiring analog quantity signals during ship propulsion, and a main controller module used for receiving the analog quantity signals and generating a propulsion control instruction; according to the ship propulsion control system, two acquisition channels are arranged for analog quantity signals, a fault channel is rapidly detected and switched in combination with a self-checking mechanism, the fault channel can be rapidly detected, the fault channel can be rapidly switched, the fault channel can be rapidly detected, the fault channel can be rapidly switched, and the reliability of the ship propulsion control system can be improved. A digital quantity output channel fault is found in time and switched to a standby channel, a power supply and communication interface backup strategy is perfected, fault priorities are accurately divided, corresponding measures are taken, the strict requirements of modern ships for high reliability and high safety of propulsion control are met, and powerful technical support is provided for stable navigation of the ships.

The invention provides a method for rapidly detecting the processing degree of rhizoma pinellinae praeparata, and the method comprises the steps: calculating a wrinkle intensity feature from a preprocessed image based on a gray-level co-occurrence matrix, and determining the type of the processing degree of rhizoma pinellinae praeparata by analyzing the wrinkle intensity change of texture distribution in an evolution process from disorder to order; the method comprises the following steps: acquiring surface texture reconstruction data of a plurality of rhizoma pinellinae praeparata samples at each time node under different processing conditions, and establishing a corresponding relationship between image features and processing degree categories; according to the rhizoma pinellinae praeparata processing degree evaluation result, the temperature condition is adjusted, rhizoma pinellinae praeparata image data are collected again, the adjusted wrinkle density feature is extracted, and the rhizoma pinellinae praeparata dynamic change trend is obtained; and by comparing the adjusted rhizoma pinellinae praeparata dynamic change trend with the initial rhizoma pinellinae praeparata dynamic change trend, the processing quality control consistency is judged, and rapid detection of the rhizoma pinellinae praeparata processing degree is completed.

The invention belongs to the field of biological detection, and discloses an exosome RNA detection composition based on positive and negative targets and a use method thereof, the composition comprises two positive targets and one negative target: the positive target A is miRNA stably expressed in exosome and is used for reflecting the expression level of small RNA; the positive target B is typical mRNA and is used for evaluating the quality of the long-fragment RNA; the negative target C is bacterial 16S rRNA and is used for identifying bacterial nucleic acid pollution in a sample. The method combines III-generation reverse transcriptase and HotStart Taq enzyme to construct a qPCR system, has high sensitivity and specificity, and is suitable for rapid detection of trace RNA. Whether the exosome RNA is suitable for downstream analysis or not can be judged by acquiring the Cq values of the three types of targets and setting a reference range. According to the invention, the integration of quality control, quantification and pollution identification of the exosome RNA is realized.

The invention discloses a deviation correction method, system and equipment based on a tool bit, and relates to the technical field of tool bit correction.The method comprises the steps that after a tool bit replacement correction request sent by a user side is received, the system executes first-time destination cutting, generates a destination cutting groove virtual model, extracts cutting parameters and compares the cutting parameters with preset parameters, and destination cutting deviation data is obtained; the system compensates the tool bit track and then executes second-time return cutting, a return cutting groove virtual model is generated, cutting parameters are extracted, and return cutting deviation data are obtained; the residual deviation is compared with a preset residual deviation threshold value, and whether the tool bit is corrected or not is judged; and if the correction is not completed, calculating a correctable value, and judging whether the return cutting deviation data can be continuously used for subsequent compensation or not. According to the method, whether the tool bit deviation can be compensated or not can be dynamically judged according to actual conditions, system oscillation caused by blind correction is avoided, rapid detection, effective compensation and intelligent decision making of the tool bit deviation are achieved, and the cutting precision and the system stability are improved.

The application discloses a pollution-preventing detection device, method and application for rapid detection of nucleic acid amplification, which comprises a detection part and a mixed reaction cabin, and the mixed reaction cabin comprises a reaction cabin main body and a reaction cabin cover which is in sealed connection with the reaction cabin main body and can be detached; a channel for connecting a hybridization liquid containing part and a mixed reaction part is arranged between the reaction cabin cover and the reaction cabin main body; the detection part comprises a detection inner core and a detection box body containing the detection inner core; a transparent observation window is arranged on the detection box body and corresponds to the reaction area position of the detection inner core; a flow guide device matched with the mixed reaction cabin is further arranged on the detection box body; the flow guide device comprises a flow guide pipe and a flow guide part; one end of the flow guide part is connected with the flow guide pipe, and the other end is connected with the detection inner core; the hybridization liquid and the sample mixed liquid are guided to the detection inner core; and the detection inner core displays the final detection result in the area corresponding to the transparent observation window. The application realizes that the liquid in the reaction tube flows out to the designated detection card in a completely closed environment, and has the advantages of good sealing effect and prevention of primer aerosol pollution.

The invention provides a portable micro-beam X-ray fluorescence rapid detection method and system based on digital signal processing. The method comprises the following steps: firstly, constructing a micro-beam excitation parameter adaptive to a field environment, secondly, driving a micro-beam X-ray to irradiate a to-be-detected sample by using the micro-beam excitation parameter, synchronously obtaining an original fluorescence signal disturbed by the environment, then taking a dynamic adjustment amount as a calibration reference, and fusing the calibration reference and the original fluorescence signal to generate a combined data stream; then carrying out cooperative processing on the combined data stream through a digital signal processing technology, separating an environment disturbance component from a target fluorescence component, and finally generating a sample surface element distribution map based on the target fluorescence component. According to the technical scheme provided by the invention, the problems of morphology misalignment and dynamic noise interference caused by passive noise reduction design are solved, and the element detection reliability of complex morphology samples (such as soil blocks and cultural relic sections) is also improved.

The invention discloses a supply chain quality collaboration method and system based on a block chain, and relates to the technical field of block chain and supply chain quality management, and the method comprises the steps: collecting quality events according to a batch quality collaboration baseline table, generating a credible collection proof package and a to-be-verified quality event queue, executing dynamic endorsement verification, and writing the dynamic endorsement verification into a quality event account book, outputting a batch state table and an under-chain evidence pointer; performing rapid detection and judgment based on the batch state table and the under-chain evidence pointer, generating a pre-release report and establishing a pre-release mapping table; and triggering a difference correction contract according to the pre-release mapping table, updating the batch state table, generating a collaborative work order, pushing a quality collaborative strategy instruction, and outputting a quality collaborative closed-loop record. According to the method, the risk feedback analysis result table is generated by auditing and evaluating the quality collaborative closed-loop record, the risk layering strategy table is revised, and the batch quality collaborative baseline table is updated, so that the key field constraint is continuously calibrated, and the traceability and consistency of collaborative processing are improved.

The invention provides an insulating oil gas mass spectrum analysis method and system. The method comprises the following steps: firstly, circulating vacuum degassing for one time, then deoiling and dehydrating the removed gas, introducing the deoiled and dehydrated gas into a mass spectrometry detection unit, carrying out primary detection, calling a self-adaptive algorithm and selecting proper circulating vacuum degassing times based on a primary detection result in combination with degassing temperature and degassing pressure of circulating vacuum degassing, and entering second-stage vacuum degassing; and deoiling and dehydrating the deoiled gas, and introducing the deoiled gas into a mass spectrometric detection unit for secondary detection to obtain a final detection result. According to the method, effective fusion of efficient degassing and rapid detection is realized, and reliable technical support is provided for rapid and accurate online monitoring and real-time fault diagnosis of the insulating oil dissolved gas.

The application belongs to the technical field of biological detection, and particularly relates to a monoclonal antibody combination for detecting canine parainfluenza virus NP protein and application thereof. The combination is composed of monoclonal antibodies 5H10 and 1H7, 5H10 is used as a coating antibody, and 1H7 is used for colloidal gold labeling, so that efficient and specific sandwich detection of CPIV / NP antigen can be realized. The variable region CDR sequences of the heavy chains and light chains of the two antibodies are clear (SEQ ID NO. 1-12). The application also provides a rapid detection test strip based on the antibody combination, which can be used for on-site screening, early diagnosis and epidemiological monitoring of canine parainfluenza virus, solves the problem that existing detection technologies lack high-specificity recognition tools, and has a good application prospect.

The invention provides a coal rapid sampling and sample preparation detection system and a rapid detection method thereof. The system comprises a sampling module, a feeding and premixing module, a crushing and continuous forming module, a detection belt, a rapid detection module, a shunting and collecting module and a data processing and control center which are connected in sequence, the core of the method is that a divider in a traditional sample preparation process is thoroughly abandoned, and an original coal sample is continuously processed into a compact and flat strip-shaped coal belt at one time by innovatively integrating crushing and high-pressure forming procedures, so that an ideal surface is provided for subsequent nondestructive testing. The method is based on the system, and full-process automation from large-capacity sampling, continuous forming, rapid detection to selective collection is achieved. By simplifying the structure, the cost and the failure rate are remarkably reduced, the flow bottleneck is eliminated, minute-level fast detection is achieved, the detection model is continuously optimized through the homologous sampling detection and feedback learning mechanism, and finally the problems that equipment is redundant, the speed is lagged and the precision is insufficient in the prior art are solved.

The invention belongs to the field of rapid detection of environment-friendly water quality, and particularly relates to a kit for rapidly detecting the concentration of fluorine ions in water and a use method thereof. The invention discloses a rapid detection kit for the concentration of fluorine ions in water. The rapid detection kit comprises a fluorine ion rapid detection reagent, a fluorine ion rapid detection color card, a detection accessory and a use method of the rapid detection kit. According to the invention, tedious operations such as solid powder, dangerous organic solvent and multi-step pipetting addition are not needed, the device is convenient to carry, and rapid, simple, high-precision and high-interference-resistance fluorine ion detection of non-specialized personnel under field conditions is realized.

The invention discloses a nucleic acid product, a kit and a method for detecting aspergillus and application of the nucleic acid product, the kit and the method in detecting mildewed tobacco leaves. The nucleic acid product comprises a primer pair and a probe for detecting aspergillus, the primer pair comprises an upstream primer with a nucleotide sequence as shown in SEQ ID NO: 1 and a downstream primer with a nucleotide sequence as shown in SEQ ID NO: 2, and the nucleotide sequence of the probe is as shown in SEQ ID NO: 3. The nucleic acid product can specifically detect aspergillus, can realize rapid detection of tobacco mildew based on qPCR technology, has high sensitivity, simple operation, low cost and fast detection speed, can complete the whole detection process within several hours, does not need uncapping in amplification and detection processes, and avoids aerosol pollution caused by uncapping detection in common PCR.

The invention relates to the technical field of skin care product detection, and discloses a multi-dimensional rapid detection and comprehensive analysis system for a skin care product formula. The method comprises the following steps: acquiring infrared spectrum data of a skin care product through a component spectrum acquisition device, and extracting characteristic peak information to generate an original spectrum characteristic vector; the formula component analysis engine matches the standard spectral characteristics, identifies active components and concentration proportions and outputs a component identification list; the component interaction relation modeling module constructs a component collaboration or antagonism relation network and generates a graph; the stability prediction unit analyzes component stability change trends in different environments and outputs a prediction report; the safety evaluation module calculates a safety threshold value and a risk level and generates an evaluation matrix; the formula optimization suggestion generator screens replaceable components or adjusts the concentration, and outputs optimization suggestions; and the detection report integration unit carries out structured integration on the result to form a final report. According to the system, multi-link integrated detection is realized, and the detection requirements of skin care products are met.

The invention relates to a wall-climbing robot system for detecting a coating of a steel pipe truss structure and an application method, and the system comprises a self-adaptive magnetic adsorption mobile platform which can be adaptively and stably adsorbed on steel trusses with different pipe diameters to execute an inspection task; the robot platform is provided with an autonomous positioning navigation system composed of a laser radar, binocular vision and an airborne computer, and the position of the robot is positioned in the steel pipe truss without satellite signals through real-time mapping and a positioning algorithm of tight coupling of laser and vision. The front part of the robot is provided with an electrically foldable surrounding type array camera, so that full-surface coverage type shooting of a steel pipe component is realized, and real-time identification of coating apparent defects is executed in combination with an artificial intelligence disease identification algorithm in an airborne computer; and the lower part of the robot is provided with a telescopic elastic electromagnetic eddy current probe for detecting the thickness of the coating. The method has the advantages that the apparent diseases and the thicknesses of coatings of steel structures such as ceilings of high-speed rail stations and ceilings of large stadiums can be rapidly detected.

The invention relates to the technical field of biological detection, and discloses a mycoplasma pneumoniae nucleic acid rapid detection method, which comprises the following steps: mixing a sample to be detected with a multifunctional pretreatment buffer solution containing tris (hydroxymethyl) aminomethane, potassium acetate, polyethylene glycol, saponin, spermine tetrahydrochloride and tris (2-carboxyethyl) phosphine hydrochloride, and carrying out cracking treatment; a cracking mixed solution is obtained; redissolving the enzymatic isothermal amplification basic reagent, the specific primer and the probe to obtain a redissolving amplification system; sucking the supernatant of the cracking mixed solution, adding the supernatant into a redissolving amplification system, and adding a magnesium acetate solution to obtain a reaction mixed solution to be detected; and carrying out isothermal amplification and signal acquisition to obtain a detection conclusion. The multifunctional pretreatment buffer solution is used for cracking the to-be-detected sample, sample liquefaction, cracking and nucleic acid release are completed in a single system, the nucleic acid extraction and purification step of centrifugal column adsorption or magnetic bead elution is avoided, and the operation process is simplified.

The invention relates to a pesticide residue detection test strip as well as a preparation method and application thereof, in particular to a rapid detection technology based on an enzyme inhibition method and a chitosan non-woven fabric carrier. The test strip can specifically detect organophosphorus and carbamate pesticides such as trichlorfon, malathion and phoxim through the enzyme activity inhibition principle, the detection limit of the pesticides such as phoxim is as low as 0.1 mg / kg, the developing intensity is in negative correlation with the pesticide concentration, and semi-quantitative judgment can be achieved. The preparation process is simple, the chitosan non-woven fabric is adopted as a fixed carrier, the material is environment-friendly and degradable, the enzyme activity recovery rate reaches 90%, the stability is excellent (the enzyme activity recovery rate can be preserved for 60 days at the temperature of 4 DEG C in a dark place), sample pretreatment is not needed in detection operation, a result can be obtained at the normal temperature for 15 min, the stability and repeatability are good, and the problems that a traditional instrument is high in detection cost and long in time consumption are solved; the method has a remarkable basic popularization value.

The invention discloses a rapid early warning method and system for thermal runaway of a lithium ion battery, and belongs to the technical field of battery safety monitoring, and the method comprises the steps: establishing a database offline, analyzing and determining a specific characteristic frequency with the strongest correlation with the internal temperature by testing the wide-frequency-band electrochemical impedance spectroscopy of the battery at different temperatures, and calculating the thermal runaway of the lithium ion battery according to the specific characteristic frequency; fitting to obtain a corresponding function model of the impedance parameter and the temperature under the frequency; during online application, only a micro-amplitude alternating current signal with the specific frequency is applied to the battery, an impedance value is calculated by measuring a response signal, the impedance value is substituted into the function model to estimate the internal temperature of the battery in real time, the temperature is compared with a preset failure threshold value, and a graded early warning signal is sent out before the threshold value is reached. The system realizes rapid detection, has the advantages of fast response, high precision, strong anti-interference performance and low cost, can be integrated in a vehicle-mounted or energy storage power station BMS system, and effectively guarantees the use safety of the lithium ion battery.

The invention provides a flexible electrochemical sensor, a preparation method and application. The flexible electrochemical sensor comprises a flexible substrate, three electrodes, a conductive strip, an external wire and a multi-cavity polypyrrole film, the three electrodes comprise a working electrode, a reference electrode and an auxiliary electrode and are printed on the flexible substrate; the conductive strip is connected with the three electrodes, the conductive strip is packaged through an insulating tape, and only working areas of the three electrodes are exposed; the external wire is pasted on the conductive strip through conductive silver adhesive. The multi-cavity polypyrrole film is modified on the surface of the working electrode. The technical problems that existing equipment is insufficient in portability, cannot meet the requirements of on-site rapid screening and real-time analysis of large-batch samples, and is difficult to realize on-site mobile detection are solved. The invention provides a feasible technical means for portable, mobile and on-site rapid detection of high-harm heavy metal ions such as Hg < 2 + > and Cd < 2 + >, and the method is simple to operate and extremely low in cost.

The invention relates to the field of image processors and biological medicines, and discloses an NK cell activity rapid detection method based on image processing. The method comprises the following steps: acquiring an unmarked time sequence phase image sequence of an NK cell and target cell co-culture system; performing cell instance segmentation to track individual cells; extracting a morphological dynamic characteristic parameter set of the target cell, wherein the morphological dynamic characteristic parameter set comprises a volume change rate, a phase gradient entropy, a cytoplasm phase fluctuation frequency and a nuclear region phase mean value; inputting the parameters into a pre-trained death state discrimination model, and outputting a death probability; and calculating a killing efficiency index based on the death probability evolution curve, and judging the activity level of the NK cells. The system comprises a phase image acquisition unit, a cell segmentation unit, a feature extraction unit, a death judgment unit and an activity judgment unit. Through unmarked imaging and deep learning fusion analysis, high-precision, real-time, quantitative and ultra-early NK cell activity evaluation is realized, and the method is suitable for clinical instant inspection and immunotherapy monitoring.

The invention belongs to the technical field of biological detection, and particularly relates to a rapid detection method and a micro-fluidic chip for rapid detection. The existing detection method and instrument have the problems of long detection time, incapability of detecting unknown pathogenic bacteria and the like, and cannot meet the timeliness requirement of clinical application. According to the scheme, rapid detection of the drug resistance of bacteria is realized by detecting the growth state of high-throughput single bacteria, and the method comprises the following steps: culturing the bacteria by using the micro-fluidic chip designed in the invention, capturing the single bacteria through a single bacteria capturing channel, and continuously growing in the channel; and obtaining a morphological change matrix of single bacteria evolved along with time in each bacteria capture channel, carrying out statistical analysis to obtain a bacteria phenotype index, and further obtaining the drug tolerance condition of the bacteria on the basis of index numerical value change. According to the method, the function of rapidly detecting the drug resistance of various common clinical pathogenic bacteria within 2 hours can be realized.

The invention relates to the technical field of fuel gas mixing, and discloses a biological natural gas mixing control method and system.The method comprises the steps that a natural gas branch, a synthesis gas branch and a mixed gas outlet are each provided with a multi-mode sensor unit; carrying out data fusion on the detection data and the detection data of an on-line chromatographic instrument and a mixed gas rapid calorific value instrument, and estimating the low calorific value, the bloom index and the gas component percentage of the mixed gas in real time based on a constraint model and Kalman filtering; establishing a prediction controller, setting input to predict gas characteristics required by a future gas turbine, and outputting a synthesis gas valve opening degree and a natural gas valve fine tuning signal; calculating an allowable mixing proportion upper limit to form a dynamic mixing window, and adjusting the mixing proportion of the natural gas and the synthesis gas based on the dynamic mixing window when a hard boundary condition is met; and when the instability state occurs, the safety interlocking is triggered. According to the invention, rapid detection is realized, active adjustment of rapid working condition fluctuation is realized, and safety interlocking is arranged, so that the overall operation safety is improved.

The invention discloses a high-risk operation violation identification system based on cloud-side collaboration, and relates to the technical field of cloud-side collaboration, and the method comprises the following steps: collecting operation scene data, and obtaining an initial feature; performing edge side rapid detection according to the initial features to obtain a local violation result; performing cloud cross-region analysis according to the local violation result to obtain a global violation mode; performing multi-modal consistency verification according to the global violation mode to obtain a violation confirmation result; and performing cross-cycle evolution analysis according to the violation confirmation result to obtain a violation evolution trend. According to the method, the cloud computing pressure is relieved through an edge side rapid detection method, the robustness and stability of violation recognition are improved, rapid detection of local violation behaviors is achieved through edge calculation, the real-time performance of violation recognition is improved, fusion of multi-modal data is utilized, misjudgment and missed judgment are reduced, and the accuracy of violation recognition is improved.

The invention discloses a cable early fault rapid detection method based on finite element analysis, and relates to the technical field of cable fault detection, and the technical scheme is characterized in that the method comprises the following steps: marking a cable line section with an insulation performance abnormal condition as a to-be-detected section, and selecting a main detection cable section and an auxiliary detection cable section from the to-be-detected section; according to the historical fault feature data and the to-be-detected insulation parameter data of the main detection cable section, performing fault type judgment on the main detection cable section to obtain a main detection fault type judgment result; processing and analyzing the main detection cable section, the auxiliary detection cable section and the historical fault feature data, and then formulating a first fault detection scheme; and a second fault detection scheme is formulated after the main detection fault type judgment result and the main detection cable section are processed and analyzed, so that various faults existing in different sections can be effectively handled, and the detection comprehensiveness is guaranteed.