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

The invention belongs to the technical field of monitoring, and discloses a monitoring method, a monitoring device and monitoring equipment of a distributed network system and a storage medium. The method includes: executing a corresponding monitoring task by a computing node in the distributed network system, and collecting network monitoring data in a virtual network layer; analyzing network monitoring data by the computing node according to a preset network performance evaluation indicator, and judging whether an abnormality occurs; if occurrence of the abnormality is determined, obtainingidentification information of the current node by the computing node, and encapsulating the network monitoring data and the identification information into an event message on the basis of an event processing mechanism; and sending the event message to a control node by the computing node to enable the control node to feed back the abnormality, which exists on the computing node, to a supervisor according to the event message. Through the above manner, the technical problem that in a process of monitoring network equipment in the prior art, resource occupancy of a central server is high, and amonitoring result is inaccurate is solved.

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 provides a sample preparation process method. The process method comprises the following steps of: cutting steel with surface defects to form a sample to be detected; cutting the auxiliary steel according to the size of the sample to be detected to form an auxiliary sample, wherein the thickness of the auxiliary sample is 1-2 mm, and the straightness of the auxiliary sample and the straightness of the sample to be detected are kept consistent; bonding the sample to be tested and the auxiliary sample by using double-sided copper conductive adhesive to form a combined sample, wherein the distance between the double-sided copper conductive adhesive and the edge to be ground of the sample to be tested is 2-3 mm; winding and fixing the combined sample, wherein after the combined sample is wound and fixed, the gap between the sample to be detected and the auxiliary sample is 0.05-0.15 mm; polishing the surface to be detected of the combined sample after winding and fixing by using a polishing machine, and removing the auxiliary sample after polishing is finished; carrying out ultrasonic cleaning and drying on the ground sample to be detected; and marking the defects of thesurface to be detected after cleaning the surface to be detected of the sample to be detected.

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 provides a portable X-ray analysis device which comprises an X-ray generator, an X-ray fluorescence analysis unit, an X-ray diffraction analysis unit and a spectral analysis module, wherein the X-ray fluorescence analysis unit comprises a fluorescence sample stage used for placing a fluorescence sample; the fluorescence sample stage comprises a first base arranged horizontally and provided with a notch, and an inclined sample loading stage arranged in the notch in a slideable manner and provided with an inclined surface; a placement groove is formed in the inclined surface in a concave manner; a first object bearing sheet for bearing the fluorescence sample is placed in the placement groove; a first through hole is located in the placement groove and penetrates through the inclined sample loading stage; the X-ray diffraction analysis unit comprises an X-ray collimation adjustment module located under the first through hole, a diffraction sample stage connected with the lower end of the X-ray collimation adjustment module, and a CCD detection module located below the diffraction sample stage and connected with the spectral analysis module. The device has the benefits that the device effectively shortens analysis time, is small in size, light in mass, and low in cost and conveniently operates in a field environment.

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 an interference eliminating device and an interference eliminating method of a multicomponent flue gas analyzer. The interference eliminating device comprises a main body, wherein a gas delivery mechanism, a gas inlet, a dust filtering membrane, a gas separating column, a gas pump and a gas outlet are arranged on the main body in turn, a constant temperature device is arranged outside the main body, the gas delivery mechanism comprises an environment temperature sensor, a controller and a solenoid valve, the environment temperature sensor is arranged to monitor a real-time environment temperature and deliver the real-time environment temperature to the controller, the controller is arranged to control the solenoid valve to implement real-time regulation on gas delivery flow according to the real-time environment temperature, the dust filtering membrane is a 100% borosilicate glass fiber membrane, the gas separating column consists of a stainless steel tube molecular sieve and a silica gel column in serial connection, and the gas pump is arranged to ensure analyzed gas to pass through the gas outlet at a certain rate and pressure, so as to ensure an analyzing effect of the flue gas analyzer.

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.

The invention discloses a full-automatic urine visible component analyzer, and relates to the technical field of medical devices. The full-automatic urine visible component analyzer aims to solve the sanitary problem that a test paper is directly discarded, and specially is characterized in that the front end of one side of a box body and the other side of the bottom of the front end are both provided with rectangular holes, the middle of the bottom of the inner wall of the box body is fixedly provided with a vertical plate through bolts, and the middle of the front end of the inner wall of the box body is fixedly provided with a plurality of turntables. According to the full-automatic urine visible component analyzer, a conveying belt, a grooved rail, a barrier strips, an arc plate and the like are arranged, the test strips placed on the two barrier strips in the grooved rail are moved through the conveying belt after analysis is performed by the analyzer, the test strips are embedded into the grooved rail and the bottoms of the barrier strips under the action of the arc plate when passing through the arc plate, and are sprayed with liquid through an ejector for disinfection and cleaning, when more liquid is accumulated in the grooved rail at the bottom of the barrier strip, the test paper floats, the bottom of the test paper is fully cleaned, and when the test paper meets the bent arc position of the conveying belt, the test paper is guided out of the grooved rail into a collecting box through a guide ball, so that the sanitary treatment effect is achieved.

The invention relates to a method and system for removing ocular artifacts in sleeping state analysis. The method comprises: collecting an ocular signal and an original electroencephalogram signal of a user according to a pre-set frame length; carrying out empirical mode decomposition on the original electroencephalogram signal of a frame and decomposing the signal into a plurality of eigenmode functions, so as to obtain an eigenmode function set; calculating a correlation coefficient between each eigenmode function in the eigenmode function set and an ocular signal of the same moment respectively; finding out the eigenmode function with the coefficient coefficient which is greater than a pre-set threshold value, and the eigenmode function with the maximum correlation coefficient, and deleting the eigenmode functions from the eigenmode function set; and reconstructing the electroencephalogram signal of the frame by utilizing residual eigenmode functions in the eigenmode function set. According to the scheme provided by the invention, influences on the waveform of the electroencephalogram signal, caused by an ocular artifact removing process, can be reduced; and almost detailed information of the original signal is kept and a subsequent analysis result of the electroencephalogram signal is ensured.

The invention relates to a method for detecting number based on side texture analysis of a layered object. The method comprises the following processing steps: side texture of an object to be detected is sampled and then after sampling, the image is input to a computer; the original image is pre-processed and sectioned, thus obtaining a sub-image set; image segmentation is carried out on a section of sub-images in the sub-image set to obtain a corresponding foreground texture image; the foreground texture image is projected or sampled to obtain a one-dimensional array; the one-dimensional array is analyzed to obtain an estimated number value of the sub-images, and the estimated value is stored to be used; all sub-images in the sub-image set is circularly processed; and the estimated number value of the sub-images is counted to obtain the number of the layered object. The method introduces texture analysis into number detection of the layered object and applies a Gabor filter skillfully to carry out texture enhancement, thus enhancing performance of the algorithm. The sectioning processing divides the original texture image into multiple sections of sub-images, thus increasing image segmentation precision and enhancing detection accuracy.

The embodiment of the present invention discloses a method and system for OLAP data analysis and migration, wherein the method includes the following steps: extracting the original information in the original analysis application model, the original information includes original data source information and report information, and combining the original data source information and report information Information is converted into an analysis application model based on a new data source, and the original analysis application model based on an original data source is converted into an OLAP model based on a new data source. By adopting the present invention, by converting the analysis application model and the OLAP model, the efficiency of data migration can be improved, and the performance of OLAP analysis after migration can be guaranteed.

The invention relates to a cleaning method and a sample analysis method. The cleaning method comprises the following steps: injecting a cleaning solution into a reactor at a first station; injecting a magnetic particle conjugate in a reactor at a second station It is adsorbed on the reactor, and absorbs the waste liquid from the reactor through the liquid absorbing part; the bearing component drives the reactor to reciprocate between the first and second stations, so that the reactor can alternately inject cleaning liquid and absorb waste liquid treatment, and the same reactor absorbs waste liquid through the same liquid suction part; and the reactor that has reached the set round of injection of cleaning liquid and suction of waste liquid is removed from the cleaning position of the bearing assembly, and the set round is not reached. The reactor after injecting cleaning liquid and absorbing waste liquid for the first time continues to follow the movement of the carrying assembly, and moves the new reactor that has not been treated with injecting cleaning liquid and drawing waste liquid into the cleaning position of the carrying assembly. The sample analysis method includes the steps of the cleaning method. This improves cleaning and analytical performance.

The embodiment of the invention discloses an OLAP data analysis migration method and system. The OLAP data analysis migration method comprises the following steps: 1, extracting original information in an original analysis application model, wherein the original information comprises original data source information and report information; converting the original data source information and the report information into an analysis application model based on a new data source; and converting the original analysis application model based on the original data source into an OLAP model based on thenew data source. According to the OLAP data analysis migration method and device, the application model and the OLAP model are converted and analyzed, so that the data migration efficiency can be improved, and the OLAP analysis performance after migration can be ensured.

The invention discloses an online protocol format inference method based on multi-sequence comparison. First, the content of the known part of the protocol is marked, and then the online flow is incrementally analyzed, and the captured flow is grouped according to a certain number. , for each group, adopt the format of the progressive multiple sequence alignment extraction protocol, and then analyze the adjacent group results, if the analysis results are different, analyze all the groups in the two consecutive groups, as the result, until the end of the analysis . This method can not only meet the time requirement of online protocol analysis, but also ensure the effect of protocol analysis.

The invention provides a multifunctional biochemical analysis device. The multifunctional biochemical analysis device comprises a biochemical analysis control screen, a supporting vertical base, a base, a top base, a sample pipette, a liquid outlet pipe, a liquid suction pipe, a biochemical liquid storage tank, a connecting base, a biochemical analysis hopper, a biochemical analysis sensor and a calandria with a valve. An oscillating-free stirring motor, a worm gear reducer, a sleeve coupler, a stirring shaft, a fixing sleeve and a stirring strip are arranged, the problem that the existing device cannot stir to-be-analyzed sample liquid and influences the accuracy of an analysis result only through oscillating is solved; the oscillating-free stirring motor drives the worm gear speed reducer to drive the sleeve coupler and the stirring shaft to rotate, so that the fixing sleeve and the stirring strip can stir the sample liquid in the biochemical analysis hopper, the analysis effect is guaranteed, the mixing effect of the sample liquid and reaction liquid is guaranteed, and the accuracy of the analysis result is further guaranteed.

The invention belongs to the technical field of monitoring and discloses a monitoring method, device, equipment and storage medium of a distributed network system. The method includes: computing nodes in the distributed network system perform corresponding monitoring tasks, and collect network monitoring data in the virtual network layer; computing nodes analyze the network monitoring data according to preset network performance evaluation indicators, and judge whether abnormalities occur; If it is determined that an abnormality occurs, the computing node will obtain the identification information of the node, and based on the event processing mechanism, the network monitoring data and identification information will be encapsulated into an event message; the computing node will send the event message to the control node, so that the control node According to the event message, the abnormality of the computing node is fed back to the supervisor. Through the above method, the technical problems of the central server occupying a large amount of resources and the monitoring results being inaccurate in the monitoring process of the network equipment in the prior art are solved.

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 relates to a method for detecting number based on side texture analysis of a layered object. The method comprises the following processing steps: side texture of an object to be detected is sampled and then after sampling, the image is input to a computer; the original image is pre-processed and sectioned, thus obtaining a sub-image set; image segmentation is carried out on a section of sub-images in the sub-image set to obtain a corresponding foreground texture image; the foreground texture image is projected or sampled to obtain a one-dimensional array; the one-dimensional array is analyzed to obtain an estimated number value of the sub-images, and the estimated value is stored to be used; all sub-images in the sub-image set is circularly processed; and the estimated number value of the sub-images is counted to obtain the number of the layered object. The method introduces texture analysis into number detection of the layered object and applies a Gabor filter skillfully to carry out texture enhancement, thus enhancing performance of the algorithm. The sectioning processing divides the original texture image into multiple sections of sub-images, thus increasing image segmentation precision and enhancing detection accuracy.