35results about How to "Guaranteed analysis results" patented technology

The invention discloses a Qianliexin capsule quality evaluation method based on multi-index active ingredient measurement. The Qianliexin capsule quality evaluation method is characterized by comprising the following steps: on the basis of an efficient liquid chromatography-electrospray time of flight mass spectrum technology, measuring eight active ingredients in the Qianliexin capsule, and constructing a Qianliexin capsule HPLC (High Performance Liquid Chromatography) fingerprint chromatogram, wherein the eight active ingredients are respectively gallic acid, chlorogenic acid, caffeic acid, vaccarin, isoquercitrin, salvianolic acid B, salvianolic acid A and cryptotanshinone. The efficient liquid chromatography-electrospray time of flight mass spectrum technology is simultaneously adopted to measure the eight active ingredients in the Qianliexin capsule and construct the Qianliexin capsule HPLC fingerprint chromatogram, and meanwhile, the Qianliexin capsule quality evaluation method is used for evaluating the quality of a Qianliexin capsule medicine, and the eight active ingredients and the chromatogram realize mutual corroboration so as to more comprehensively reflect the quality of the Qianliexin capsule medicine to be favorable for researching and guaranteeing the quality of Qianliexin capsule medicine raw materials and preparations.

The invention belongs to the technical field of electricity stealing monitoring of power grid monitoring, and particularly relates to an electricity stealing prevention monitoring method and system based on electricity utilization big data. The system comprises a power utilization data acquisition module, an anti-electricity-stealing strategy management module, a comprehensive monitoring module, an anti-electricity-stealing abnormal early warning module, an event management module and a loss assessment rectification service module. According to the invention, the suspected electricity stealing user can be scientifically, effectively and accurately identified, the accuracy, comprehensiveness, timeliness and reliability of electricity stealing detection are improved, and the detection cost is reduced; and through double analysis of electric power business application data and electric energy information acquisition data, various data are summarized, a scientific and accurate data analysis model is established, a system monitors and screens a metering device and line loss of each level in real time on line, and positions suspected electricity stealing users, intelligent analysis and diagnosis are carried out, and abnormal problem data are alarmed, so that a more efficient and intelligent technical means is provided for preventing electricity stealing, reducing line loss and increasing power supply, and the electricity stealing behavior is effectively prevented and attacked.

The invention relates to equipment for eliminating ocular artifacts during sleeping state analysis. The equipment comprises an electroencephalogram electrode, an electrooculogram electrode, a reference electrode, an analog-to-digital converter and a processor, wherein the analog-to-digital converter is connected with the reference electrode; the processor is connected with a filtering circuit through the analog-to-digital converter; the electroencephalogram electrode is used for detecting an original electroencephalogram signal; the electrooculogram electrode is used for collecting an electrooculogram signal; the analog-to-digital converter is used for analog-to-digital conversion; the filtering circuit is used for inputting the signal to the processor after the low-frequency filtering; the processor is used for performing empirical mode decomposition on each frame of the original electrooculogram signal, and decomposing the original electrooculogram signal into a plurality of eigenmode functions; the relevant coefficient between each eigenmode function and the electrooculogram at the same moment is calculated; the eigenmode functions with the relevant coefficients being greater than the preset threshold value and the eigenmode function with the maximum relevant coefficient are found and deleted; the rest eigenmode functions are used for rebuilding each frame of electroencephalogram. The equipment provided by the invention has the advantages that the influence on the electroencephalogram waveform in the ocular artifacts eliminating process can be reduced; most detail information of the original signal is remained.

The invention discloses an online protocol format inference method based on multiple sequence alignment. Content of a known part of a protocol is marked; for online traffic, captured traffic is grouped according to certain number in an increment analysis mode; for each group, extracting a format of the protocol through progressive multiple sequence alignment; adjacent group results are analyzed; and if analysis results are different, all groups in two continuous groups are analyzed as results, until the analysis is finished. According to the method, an online protocol analysis time demand canbe satisfied, and a protocol analysis effect also can be ensured.

The invention particularly relates to a fatigue life analysis method for an electric drive assembly differential shell. The fatigue life analysis method comprises the steps: establishing a differential shell finite element model of the electric drive assembly differential shell; verifying the accuracy of the finite element model of the differential shell; calculating a stress relation of the successfully verified differential shell finite element model under a unit torque load; calculating a material S-N curve of the differential shell of the electric drive assembly, and calculating a corresponding relationship between fatigue life and stress according to the material S-N curve; taking the actually measured load spectrum of the differential shell of the electric drive assembly as load input, and calculating corresponding equivalent stress according to the stress relation under the unit torque load; and calculating and evaluating the fatigue life of the differential shell of the electric drive assembly according to the equivalent stress and the relationship between the fatigue life and the stress. According to the fatigue life analysis method, the influence of the impact load can be fully considered, and the actual bearing torque condition is better combined, so that the accuracy of the fatigue life analysis of the differential shell can be improved.

A method for rapidly detecting content of galantamine in amaryllidaceae plants comprises the steps that based on a liquid chromatography-mass spectrometry technology, isocratic elution is carried out, liquid chromatography is in series connection with secondary mass spectrometry, analysis is performed through a Full MS/dd-MS2 mode or an MRM mode under positive ion scanning, alkaloids in the amaryllidaceae plants, such as galantamine, can be quickly extracted and accurately qualitatively analyzed, the analysis time is significantly reduced, the accuracy of analysis is improved, a detection result can be obtained in a program time within 3.0 min, the retention time of galantamine is within 1 min, the recovery rate is 95.7-97.1%, and a relative standard deviation is 1.3-2.7%. No other characteristic peak interference occurs, and the degree of resolution is complete separation, the analysis speed and accuracy are greatly enhanced, and the effective and accurate analytical method is provided for studying the accumulation law and anabolic metabolism regulation of galantamine in the amaryllidaceae plants.

The invention relates to a method for detecting 123 polycyclic aromatic hydrocarbons in an environmental medium by using gas chromatography-tandem triple quadrupole mass spectrometry. The invention belongs to the technical field of pollutant detection. The invention aims to solve the technical problems of few types of detectable PAHs detection methods, long detection and analysis time, high detection limit and large detection result error caused by incapability of realizing isomeride separation in the detection process in the prior art. The method comprises the steps: 1, dividing 123 PAHs intothree types according to groups and control requirements; 2, single-standard sample introduction: setting mass spectrum parameters according to the determined gain voltage, qualitative ion pair and quantitative ion pair of a target object and the corresponding collision energy; 3, determining gas phase parameters through mixed standard sample introduction; 4, making a standard curve; 5, extracting and purifying PAHs in an actual sample to obtain a sample to be analyzed; and 6, detecting an actual sample. According to the method, the sensitivity of separation and qualitative and quantitative detection of the isomeride is high, the repeatability is good, and the analysis time is shortened to 35 min-40 min.

The invention relates to a safe compiling method and device based on a HiWing SylixOS operating system, and belongs to the technical field of embedded operating systems. The problems that an existingcompiling method is difficult to realize high safety, high quality and the like of the HiWing SylixOS operating system are solved. The method comprises the following steps: carrying out code scanningpreprocessing on a source program to be compiled to obtain a code scanning preprocessing result; performing lexical analysis on the code scanning preprocessing result to obtain a word sequence; carrying out syntax analysis on structure settings in the word sequence to obtain an abstract syntax tree, wherein the structure settings comprise a control structure, a data type, a function statement anda parameter table; performing semantic analysis based on the abstract syntax tree to generate an intermediate code; and optimizing the intermediate code to generate a target code. Inspection of code formats, annotation styles, character set legality and conditional compilation is achieved, and safety and quality of compilation software are improved.

The invention relates to an electricity theft user analysis method based on an electricity acquisition system and an outlier algorithm. The method belongs to the field of power consumer data analysis,and comprises the following steps: step 1, selecting a high-electricity-larceny suspected special transformer consumer industry according to the current electricity-theft-preventing working situation, counting the number of industry consumers in an electricity utilization acquisition system, and acquiring electric quantity data of all special transformer consumers in the industry; step 2, preprocessing the data, screening and deleting blank values and abnormal values in the user electric quantity data, deleting miscounting and missing counting values according to records of an electricity consumption information system, and storing residual data as original sample data; step 3, inquiring and exporting the registered capacity of the transformer of the selected industry special transformeruser in the power utilization acquisition system, and calculating the per unit value of the user power utilization data by taking the capacity as the reference; and step 4, establishing a calculationmodel based on an outlier algorithm, importing the user data, calculating the outlier degree of the power utilization data of the user in a set threshold range, and judging whether the user has an electricity theft behavior.

The invention relates to a big data-based arbitrary customer group multi-dimensional real-time clustering analysis method, which comprises the following steps of: preprocessing a data source, labelingthe data and carrying out visual configuration; carrying out analysis dimension configuration on the labeled data; determining an analysis index of the analysis dimension and a target customer groupneeding to be analyzed in real time; and performing clustering analysis calculation according to the analysis index and the target customer group, and performing visual display on an analysis result.The method can achieve the real-time analysis of the target customer group, and meets the requirement for accurate subdivision of the customer group required by the rapid change of the service.

The invention discloses a welding process quality online analysis system and method based on a cloud server, and belongs to the technical field of welding process quality online analysis. The technical problem to be solved is to provide the improvement of the welding process quality online analysis system hardware structure based on the cloud server. According to the technical scheme, the system comprises three parts, namely acquisition hardware, analysis software and a cloud platform, wherein the acquisition hardware consists of a current sensor, a voltage sensor, a data acquisition device, a computer and a gateway; wherein the analysis software is used for processing the collected current and voltage signals, carrying out data processing and statistical analysis on the electric signals through edge calculation and cloud calculation, and providing characteristic index parameters for welding quality analysis; the cloud platform receives the data information transmitted by the gateway, stores the data information in a database of the cloud platform, performs data processing and classified management, and allows the multiple terminals to access the cloud platform through a browser at any time. The technical scheme is applied to welding quality analysis.

The invention relates to a cleaning method and a sample analysis method. The cleaning method comprises the following steps: a cleaning solution is injected into a reactor located at a first station; magnetic particle conjugates in a reactor located at a second station are sucked on the reactor, and liquid waste in the reactor is sucked by a liquid suction part; a bearing assembly drives the reactors to reciprocate between the first station and the second station, cleaning solution injection and liquid waste suction treatment are alternately performed on the reactors, and the liquid waste is sucked by the same liquid suction part in the same reactor; and the reactor subjected to the cleaning solution injection and liquid waste suction treatment for set rounds is moved out of the cleaning position of the bearing assembly, the reactor subjected to the cleaning solution injection and liquid waste suction treatment not reaching the set rounds moves continuously with the bearing assembly, anew reactor which is not subjected to the cleaning solution injection and liquid waste suction treatment is moved to the cleaning position of the bearing assembly. The sample analysis method comprisesthe steps of the cleaning method. Therefore, the cleaning effect and analysis performance can be improved.

The invention discloses a gas heavy metal analysis device, and relates to the technical field of waste gas monitoring. The device comprises a heavy metal analysis module, a connecting pipeline and a sealed box; the heavy metal analysis module is mounted on one side wall of the sealed box; the connecting pipeline is used for connecting an air inlet pipeline with an air outlet pipeline; a first opening and a second opening are formed in the side wall of the connecting pipeline; a ventilation switch valve is mounted in the connecting pipeline; the ventilation switch valve is arranged between thefirst opening and the second opening; the sealed box is used for sampling waste gas; a first through hole and a second through hole are formed in one side wall of the sealed box; the first through hole is connected with the first opening through a first branch pipeline; and the second through hole is connected with the second opening through a second branch pipeline. The device is simple and reasonable in structural design and convenient to use, the analysis effect and efficiency of the heavy metal in the waste gas are effectively guaranteed, and the device has high market application value.