396results about How to "Reasonable" patented technology

The invention relates to an intelligent numerical control machining programming system and an intelligent numerical control machining programming method for aircraft structural parts. According to the system, an existing CAD / CAM (Computer-Aided Design / Computer-Aided Manufacturing) system is taken as a platform; the system comprises a model detection module, a process scheme automatic generation module, a process resource and knowledge base management model, an automatic programming subsystem module and a numerical control program intelligent optimization module. The system is established on the basis of a three-dimensional model, the numerical control machining programming specialization process of the aircraft structural parts is relatively systematically and accurately reflected and supported, the man-machine interaction operation required in the technological preparation and programming process can be greatly reduced, the problems of unstable program, long programming period and the like caused by interactive programming based on universal platform and artificial experience are effectively solved, the numerical control machining preparation and programming efficiency and quality can be obviously improved, and the specialization level and the intelligence level of the CAD / CAM system are promoted.

The invention discloses a method for generating an urban bus route network based on segmented splicing. The method comprises the following steps that first, urban bus stations are used as network nodes, and a user balancing distribution method is used for acquiring the passage point traffic of all the bus stations; a bus center point determining method is used for acquiring a bus center node set, and a bus network route section set of bus single center nodes among bus center nodes is generated; accordingly, an initial line network generation method is used for setting the departure frequency of all bus routes, and an initial bus line network planning scheme is obtained; then, a simulated annealing algorithm is used for optimization; a novel bus line network planning scheme is formed through a line network adjusting method and a frequency adjusting method every time, and a strategy balancing distribution method based on effective frequencies is used for simulation and evaluation until an optimized urban bus line network is acquired. The method for generating the urban bus route network based on segmented splicing has the advantages that the steps are simplified, the practicability is high, standardized implementation can be achieved, and the planning routes are reasonable and scientific.

The invention relates to a class case recommendation method based on text content. The method is divided into a pre-training part and a fine adjustment part. The pre-training part adopts a transformerencoder as a main structure, a Chinese language model is trained, Chinese language knowledge is learned from other corpora, and a high-quality language model is obtained. A triad model is used as a framework of the fine adjustment part, a preprocessed judicial document is used as training data, more knowledge about judgment is learned from the judicial field, and a better text vector representation is obtained. Compared with a traditional keyword-based class case recommendation method and a single-task neural network-based class case recommendation method, the content-based class case recommendation method provided by the invention is better in effect, and has better robustness based on a semantic training model, which indicates that the method provided by the invention is effective and practical.

The invention belongs to the field of edible oil products and in particular relates to plant blend oil with balanced nutrition and a method for preparing the same. The technical proposal comprises: the plant blend oil comprises the following compositions in portion by weight: 7.5 to 23 weight portions of maize oil, 8.6 to 20.7 weight portions of soybean oil, 7.7 to 21.8 weight portions of peanut oil, 7.5 to 19.7 weight portions of sunflower seed oil, 6.5 to 18.8 weight portions of rice bran oil, 2.1 to 15.6 weight portions of perilla oil, 2 to 13.5 weight portions of safflower seed oil, 4.9 to 12 weight portions of flaxseed oil, 5.2 to 12 weight portions of walnut oil , 2 to 11.5 weight portions of wheat germ oil, 6.5 to 15 weight portions of tea seed oil and 0.2 to 8 weight portions of evening primrose oil. The invention also provides the method for preparing the plant blend oil; and the blend oil highlights reasonableness of the proportional composition of various unsaturated fatty acids, namely the ratio of oleic acid to linoleic acid to linolenic acid is 5:4:1 and also highlights the trophic function of a product.

The invention discloses a method for checking the reality of an ocean color remote sensing product. The method comprises the following steps: (1) reconstructing a long time sequence remote sensing data set; (2) computing and integrating based on the time-space variation characteristics of the remote sensing data set; (3) carrying out quality control and screening on a practical measurement data set for checking the remote sensing product; (4) checking generation of data sets by practical measurement-remote sensing data based on a time-space matching rule; (5) carrying out risk level division on the eligible matched data sets; and (6) computing indexes for checking the data reality of the remote sensing product. According to the method, the representativeness and the reasonability between the remote sensing product data and the checking practical measurement data can be checked, the matched data sets are screened and generated, and an evaluation method for different risk levels is obtained, so that the evaluation results are diversified and reasonable, the uncertain risk in the checking process is lowered, and the checking credibility is improved.

The invention discloses an intelligent screening system based on the numerical control processing technology for difficult-to-machine metal, which comprises the following subsystems: a parameter database subsystem, a fixed data source subsystem, an online detection and feedback subsystem, a technology intelligent comprehensive screening optimized scheme system, a data mining and supplementing subsystem, a simulation verification subsystem and an application operating system. The system has the characteristic of recognizing the reasonableness, the advancement and the high efficiency property of each technology scheme in the database, and is used for collecting the processing information of difficult-to-machine metal materials, the machine tool and cutter selection experience and cutting technological parameters accumulated in production practices and experiments. The roughness test data of the optimized cutting technological parameters is selected for processing, so that a reasonable and mature technological scheme is recommended for manufacturing enterprises, and the numerical control processing precision of the difficult-to-machine metal materials is controlled. The purposes of increasing the processing efficiency of the difficult-to-machine materials, reducing processing cost and acquiring high quality products are achieved.

The invention discloses an AC / DC power distribution network scheduling method considering wind power uncertainty, being characterized in that factors such as a flexible adjustment range, an adjustmentrate and adjustment time are considered; quantitative evaluation is carried out on source network load flexibility resources of the AC / DC power distribution network; an AC / DC power distribution network operation flexibility evaluation index and a calculation method are defined; based on non-parametric kernel density estimation and a confidence interval method, constraint conversion of a power distribution network flexibility demand considering wind power uncertainty is realized; and an implementation scheme of a layered and partitioned scheduling strategy in the AC / DC power distribution network is determined, and a multi-target day-ahead flexible economic scheduling model of the AC / DC power distribution network is established by taking the operation economy and the electric energy qualityof the power distribution network as target functions and taking controllable operation parameters in the converter station and the AC / DC power grid as decision variables. On the premise of ensuringthat the AC / DC power distribution network deals with system uncertainty fluctuation, the system network loss is further reduced, and the node voltage level is improved, and the RES acceptance level isimproved, and the total system scheduling cost is reduced.

The invention relates to a numerical modeling method of rock mass mechanics considering macroscopic and microscopic defect coupling. The method comprises the following steps of firstly, generation ofa numerical calculation model, wherein an FLAC3D program is adopted for numerical modeling, the planar size, thickness and boundary conditions of the calculation model are set, a three-node triangularunit is adopted for conducting superfine mesh division on the model, during the superfine mesh division, divided mesh units are cubes, and the side length of each cube is not greater than 1 mm; constitutive models and parameters of rock masses or rocky slopes are set, and the numerical calculation model is established; secondly, generation of macroscopic defects; thirdly, generation of microscopic defects. According to the method, the macroscopic defects represent macroscopic joints, cracks and the like, and the microscopic defects represent micro-cracks and the like; by means of the method,the macroscopic and microscopic defects existing in the rock masses are simultaneously considered, and the rock masses obtained through modeling is closer to actual rock masses.

The invention relates to a programming language capable of cross-language reusing, and discloses a method for programming and developing software application programs by using a group of certain brief term and syntax rule with natural language semanteme. Through the description of multiple programming language families and the display method of the same thought realizing parts in multiple language development of certain software with an abstract special function, the cross-platform, cross-compiling, convertible and embeddable unified development is realized. Through the compiling tool disclosed by the invention, the same set of codes programmed by the language can be compiled into the applications with different states under different platforms; and the platform characteristics are realized by corresponding compiling tools. Through the converting tool disclosed by the tool, the codes programmed by the language can be converted into other languages as C++, Java, C#, Pascal and Obj-C, and can also be converted into the codes directly executed by the ARM embedded chip. Through the standard developing library disclosed by the invention, the language can be directly embedded into other languages for mixed programming. Through the IDE and the simulator disclosed by the invention, the cross-platform debugging and simulation can be realized.

The invention discloses a self-adaptive control method for diagonal gait of a four-footed robot, which is used for self-adaptively controlling the walking of the four-footed robot in the nonstructural terrain with the diagonal gait. The self-adaptive control method bases on a fuzzy reasoning learning method and a foot trajectory real-time correction method and takes the diagonal gait as the motion mode so as to comprehensively control a robot body to adapt for the nonstructural environment. The gait planning is carried out on the environmental information collected by the sensor through the fuzzy reasoning learning method; the stability judgment is carried out on the gait planning information; if the planned four-footed robot has stable diagonal gait, the joint corner information is sent to a control system; if not, the supporting time of the diagonal feet is corrected by the foot trajectory real-time correction method so that the four-footed robot has better stability when walking under the changed gait in the nonstructural terrain. The self-adaptive control method is used for correcting foot trajectory planning and walking stability under changed gait when the four-footed robot walks diagonally in a dynamic way, thus realizing the self-perception, self-correction and self-adjustment of the four-footed robot.

A parameter determination method for a bolt supporting based on a roadway bearing structure includes: selecting multiple schemes suitable for field construction conditions according to mechanical property and occurrence conditions of roadway surrounding rock and ground stress conditions, determining inter-row spacing, length and diameter of anchor bolts to be used, and selecting an optimal scheme from the schemes; designing mounting angle of the anchor bolts, bolt supporting accessories, and cable parameters according to geometrical conditions and the shape and size of roadway section; supporting a roadway according to the optimal scheme, dynamically monitoring the roadway surrounding rock during supporting, feeding back data, analyzing and correcting and optimizing the optimal scheme, and guiding and adjusting subsequent supporting for the roadway until the roadway supporting is complete. The method is suitable for roadway supporting design and is oriented from new angles. Bolt axial force is calculated through the bearing structure formed by the anchor bolts and the surrounding rock, and the roadway bolt supporting is designed. The method is scientific, reliable, practical, economical, widely applicable and highly operable.

The invention provides a pneumatic type ejector for carrier-based airplanes of an airplane carrier. A group of steel wire ropes are driven to shrink by a plurality of closed pneumatic cylinders at the same time, and a sliding shuttle on a takeoff runway is driven to slide through the shrinkage of the steel wire ropes, so that the carrier-based airplanes are pushed to take off in an ejecting mode. The structure comprises the carrier-based airplane takeoff runway, the sliding shuttle, the traction steel wire ropes, a plurality of pneumatic cylinder module components, high-pressure gas pipes and a resetting winch, wherein the pneumatic cylinder module components consist of fixed frameworks, the pneumatic cylinders, pistons, piston connecting rods, pulley frames, driving pulleys, anti-breaking pulleys and sliders; the cylinder bodies of the pneumatic cylinders are fixed in the fixed frameworks; the head parts of the pneumatic cylinders are arranged at intervals in a staggered and opposite mode; and the tail parts of the pneumatic cylinders are connected with the high-pressure gas pipes by electrically-controlled valves. Compared with the prior art, the large-thrust multiple acceleration type pneumatic ejector for the carrier-based airplanes of the airplane carrier is characterized in that: the large-thrust multiple acceleration type pneumatic ejector has a simple structure, low cost, light weight, a high power conversion rate and long service life, saves energy and can adapt to the launch of various carrier-based airplanes (including light aircrafts and unmanned aerial vehicles), and the power and the takeoff distance can be adjusted.

The invention relates to the field of computer, specifically relates to a big data analysis system and a method for cross-border trade, and the system comprises the following modules: a user role module, a foreign trade data management module, a self-defining module, a query module and a foreign trade index module; all in all, the system and method have advantages of creativity, rationality, low time consumption, low cost, wide application range, accurate data and high efficiency and can accurately access present cross-border trade condition.

The invention provides a comprehensive evaluation method for sustainable development of smart power grid based on AHP-PCA algorithm. In the first k months before the evaluation method is put into use, based on the analytic hierarchy process (AHP), all the evaluation factors are statically weighted and are scored according to the operation of the smart power grid so as to establish the evaluation index WAHP of AHP. After K-month operation of the evaluation method, based on the principal component analysis, all the evaluation factors were dynamically weighted from k + 1 month, and the effective principal components are sorted out to establish the evaluation index WPCA of PCA. The evaluation index WPCA of PCA is then combined with the evaluation index WAHP of AHP to serve as the evaluation index WAHP for evaluating the sustainable development of the smart power grid. The invention combines the analytic hierarchy process and the principal component analysis method to solve the problem of error caused by subjective difference in smart power grid evaluation and the problem that the principal components are void of meaning despite contained information so as to provide an effective management scheme for the sustainable development of a smart power grid.

The invention discloses a teaching-and-learning-algorithm-based static scheduling optimization system for a discrete manufacturing shop. The system comprises a data server, an operation server, and a terminal display screen. A scheduling optimization client is embedded into the operation server and is used for carrying out optimization-algorithm-based reasonable scheduling arrangement on a processing task on the day by analyzing the processing task and consulting various detailed information of the data server, wherein the specific optimization algorithm employs a teaching and learning algorithm. A generation scheduling scheme is decoded; de-compilation processing is carried out according to dual-layer definition on a student during coding; a processing tool and a processing sequence of a workpiece are expressed successively. And then the optimized scheduling scheme is displayed on a terminal display screen, so that the production staff and the management staff in the shop can obtain current specific processing task arrangement information in real time. According to the invention, with the teaching and learning algorithm, the system has advantages of fast convergence speed and high optimization searching capability and adapts to the complex situation in practical production well.

The invention relates to an offshore wind turbine foundation full-time coupling fatigue analyzing method and system. The method includes utilizing SACS software to build an offshore wind turbine foundation and a tower model; outputting a foundation structure data file precede.$PJ; operating BLADED software to read the foundation structure data file precede.$PJ and conducting fatigue work condition load calculation; operating the SACS software to read fatigue load under various work conditions and calculated through the step C and corresponding spectrum parameters, calculating and accumulating fatigue damage under various work conditions and calculating the fatigue service life. The system comprises a modeling module, a model output and storage module, a fatigue work condition load calculation module and a fatigue service life calculation module. By means of the method and system, fatigue calculation and frequency domain and time domain analysis under wind wave flow full-time coupling and fatigue coupling analysis with fatigue load work conditions combined with spectrum curves can be conducted on an offshore wind turbine foundation.

The invention discloses a satellite communication link analysis method under an on-orbit complex environment. By comprehensively considering a satellite attitude and orbit, a structure layout configuration and component rotating mechanism, load antenna shielding, data transmission antenna shielding, EMC design, satellite-earth communication link parameter, measurement-control antenna design and model selection, a precise satellite model is constructed, and a method for analyzing a satellite communication link under the on-orbit complex environment is designed; the quantified and refined measurement-control segmental arc coverage feature is obtained by simulating through the above-mentioned method by using the actually measured measurement-control antenna directional pattern information under the astral environment, the satellite configuration layout, the measurement-control data transmission system performance improvement, the user on-orbit working mode and the use strategy design canbe optimized, the measurement-control segmental arc is maximally utilized to perform the unlink emergency control or the downlink telemetering monitoring, and the method is especially important for the security of the whole satellite.

The invention provides an electricity larceny detection method based on combination of user load and electricity utilization parameters. The method comprises steps of clustering the user load data byadopting a method of combining a fuzzy C-means algorithm and a random selection method, dividing users into different categories, finding out load characteristic curves of the users, calculating distances between daily load curves of the users and the characteristic load curves of the users, and finding out suspected abnormal users with relatively large deviation degrees; and finally, further observing and screening by utilizing the user electricity stealing identification model based on the electricity utilization parameters to find out the electricity stealing users. According to the invention, the user load and the power utilization parameters are combined; an electricity larceny preliminary screening model is esrablished based on a load curve; the improved parallel long short-term memory neural network LSTM algorithm is used for training, the time sequence and regularity of electric energy quality monitoring system data in an actual power grid are fully considered, a specific abnormal value can be accurately detected, a good recognition effect and an actual application value are achieved, and the accuracy of the algorithm is improved.

The invention discloses a court online enforcement system and an enforcement method thereof. The system comprises a case enforcement platform and a backstage information management platform. The case enforcement platform comprises an online registration module, a justice publicity module and an online enforcement module, wherein the online registration module is used for executing registration on a corresponding online registration interface according to a registration request and a lawsuit request brought forward by a case litigant; the justice publicity module is used for publishing case execution process related information on a justice publicity interface according to the registration information; and the online enforcement module is used for enforcing a judgment document. The backstage information management platform is used for storing case related information and managing user information, various task information and various messages. Thus, the court case online enforcement system is built, an information means is adopted, highly sharing and quick transmission of case information resources are realized, case handling becomes more fair and reasonable, and standardization, automation and informatization of case handling can be realized.

The invention discloses a training method for a convolutional pulse neural network based on a reweighted membrane voltage, and the method comprises the steps: obtaining an input image, carrying out the preprocessing, and obtaining a pulse sequence; constructing spiking neurons of the convolutional spiking neural network based on the reweighted membrane voltage; setting the number of network layers of the convolutional pulse neural network according to the scale of the input image; carrying out normalization processing on the input stimulation of the spiking neurons; constructing a loss function and training the convolutional pulse neural network based on a space-time back propagation algorithm; and inputting the pulse sequence into the trained convolutional pulse neural network to obtain an output result. According to the method, the gradient of the output of the spiking neurons relative to the membrane voltage can be directly calculated, the gradient can be dynamically adjusted according to the accumulated membrane voltage value, and the problem of gradient mismatching in the SNN training process is solved. The training method of the convolutional spiking neural network based on the reweighted membrane voltage can be widely applied to the field of spiking neural networks.

The invention brings forward a specific field information service transaction realization method and system. The method comprises the steps that an agent establishes a knowledge point database and authenticates an information providing side; a demanding side connects the agent through a business platform and then presents demands; the agent searches the matched authentication information providing side in the database according to the keywords of the demands and recommends the matched authentication information providing side to the demanding side; and the demanding side calls the providing side via the business platform, and information is exchanged between the two sides after butting connection and charging is performed according to specific rules. The system, i.e. the business platform, comprises an agent terminal, a CTI server, a search engine, the database, a charging server, an evaluation server, an IM server, an IM client-terminal and a portal website. According to the method and the system, the approach for specific field information exchange and transaction between the demanding side and the providing side is realized so that advantages that the manual service is easy to understand and can interact in real time are prominent, and a new information service form is developed.

The invention discloses a deep-sea SPAR floating-type draught fan fatigue damage analysis method taking a vortex-induced effect into account. The method includes the following steps of (1) analyzing avortex-induced movement phenomenon of a SPAR-type floating-type draught fan, and obtaining the overall force characteristics, movement trails and response frequency of the SPAR-type floating-type draught fan; (2) on the basis of FAST software, under a working sea condition and a survival sea condition, analyzing a movement response time interval of the SPAR-type floating-type draught fan and theforce condition of tied cables under the combined action of a wind load, a wave load and a current load; (3) according to a Miner linear fatigue damage superposition theory, S-N curves and a rain-flowcounting method, compiling an MATLAB program, conducting fatigue damage analysis under the action of a vortex-induced load and wave load of the draught fan separately, and correspondingly obtaining the total fatigue damage of the tied cables within the design life to provide an effective settlement strategy for accurately evaluating power response of the floating-type draught fan and the fatiguedamage of the tied cables.

The flowing pumped wet sprayed high aluminum refractory material for permanent lining of steel ladle consists of high alumina bauxite 68-83 wt%, high alumina fine powder of average diameter smaller than 4 micron 10-18 wt%, cyanite powder 1-7 wt%, superfine silica powder of average diameter smaller than 1 micron 1-4 wt%, calcium aluminate cement 4-6 wt%, and high efficiency water reducing agent 0.3-0.6 wt%. The flowing pumped wet sprayed high aluminum refractory material of the present invention has excellent flowing performance and high fire resisting performance.

The invention relates to a village and town building reference room heat model-based building energy consumption acquisition method, which comprises the following steps: (1) acquiring a calculation condition for establishing a village and town building reference room heat model; (2) acquiring meteorological data of a region where a village and town building is located; (3) establishing a village and town building reference room heat model according to the calculation condition for the village and town building reference room heat model and the meteorological data of the region where the village and town building is located; (4) obtaining an energy consumption value of a reference room of the village and town building according to the village and town building reference room heat model, and further calculating an energy consumption value of the village and town building. Compared with the prior art, the method has the advantages of high pertinence, simplicity, high reliability, high calculation efficiency and the like.

The invention discloses a method for measuring the adsorption phase density of adsorbate gas on adsorbate. The method includes the steps: 1) measuring the excess adsorption quantity and the body phase density of the adsorbate gas under at least three different types of pressure; 2) acquiring adsorbed phase volume according to a corrected isothermal adsorption model and the excess adsorption quantity and the body phase density measured in the step 1); 3) acquiring the absolute adsorption quantity of the adsorbate gas on the adsorbate according to the corrected isothermal adsorption model and an isothermal adsorption model; 4) acquiring the adsorbed phase density of the adsorbate gas on the adsorbate according to a formula (1), and denoting the adsorbed phase density as rho adsorption phase with the unit g / cm<3>. The method is directly implemented based on original isothermal adsorption test data, simple, practicable and easy to popularize. According to research of adsorption behaviors by molecular simulation, assumed conditions of the method are more reasonable, and reasonableness is obviously superior to that of a traditional optimization scheme.

The invention discloses an automatic target recognition method of Laplace regularization least square synthetic aperture radar, which relates to radar technology field and aims at improving the discrimination of SAR target image by adopting the method and get a better robustness to directions. The implementation steps in the invention are: firstly to make feature extraction for all the samples in MSTAR database by adopting KPCA, take all the data in training sets as samples with signs, and use the data in training sets as samples without signs to set up a weighted undigraph Gequals to (V, E), see the data point as the peak V of G, then define the similarity of the paired data points as the side of the graph, calculate the Laplacian of the graph and take as a regular term and added to the regularization least square and call as Laplace regularization least square to calculate the relative optimization problem. Then, classify the sample without signs by classifying function gain from exercises. The method can solve the identification problem based on the two-dimension SAR image.

The invention relates to a method for defining the degradation degree of a high-cold steppe. The method comprises the following steps of: (1) selecting a defining range; (2) determining various indexes of the degradation level of the high-cold steppe; (3) randomly selecting dozens of communities from the high-cold steppe and determining plant community dominant species in the high-cold steppe; (4) determining the coverage of graminaceous plants in each plant community dominant specie and initially classifying according to the indexes in the step (2); (5) determining the aboveground biomass relative scale of the plant community dominant species in each community and the aboveground biomass relative scale of edible grass and classifying once again according to the indexes in the step (2); (6) measuring the organic matter content distribution range of a surface soil sample of each community; and (7) comparing and verifying the organic matter content distribution range obtained in the step (6) with the organic matter content distribution range in the step (2) and finishing defining when the accuracy is over 90 percent. The method disclosed by the invention is simple, quick and accurate and ensures that the rehabilitation and protection of a degraded high-cold steppe are specific and scientific.

The invention relates to searching methods. The searching methods include the scheme type searching method, the tree-shaped classified intelligent guiding demand searching method and the searching method integrating classified intelligent guiding, classified structuralization and schemes. According to the three searching methods, the living condition of a user can be intelligently perceived, a classification structure for knowledge and experience resources needed for the living condition is provided to guide the user to search, provided guide content has higher relatedness, rationality and systematicness, and finally a target searched for by the user can be hit more rapidly. Meanwhile, each time searching is conducted, lots of sets of solutions and knowledge data resources provided by different internet users can be given, comprehensive and systematic knowledge data resources of various file types can be searched for at a time, searching efficiency of the user can be greatly improved, and the user is helped to quickly obtain desired search results.

The invention discloses a three-dimensional grid object segmentation method based on a point cloud processing network. The three-dimensional grid object segmentation method comprises the following steps: preparing a three-dimensional grid data set and a pre-trained point cloud processing network PointNet; calculating a central point coordinate of a triangular patch in the three-dimensional grid data as point cloud data corresponding to the three-dimensional grid data; randomly selecting N points in the point cloud, and inputting the N points into a pre-trained Point Net to obtain a segmentation result; giving probability distribution to unselected points in the point cloud by using a KNN algorithm to obtain all segmented point cloud data; and mapping the point cloud segmentation result back to the three-dimensional grid data, and correcting the result by using a conditional random field to finally obtain a segmentation result of the three-dimensional grid. On the basis of deep learning, complete data can be analyzed, global features are extracted from the data, and data-driven segmentation is achieved instead of a traditional three-dimensional feature extraction operator based on artificial design.

The invention provides a detection method of generic drugs pretending original drugs. The detection method comprises the following five steps: 1, acquiring Raman spectrum data of a sample to be detected; 2, calculating an HQI value of the sample to be detected according to standard Raman spectrum data of the original drugs and the Raman spectrum data of the sample to be detected, and carrying out first judgment on the sample to be detected according to the HQI value; 3, selecting characteristic peaks of the sample to be detected and characteristic peaks of the original drugs; 4, calculating a ratio t of the quantity of the characteristic peaks of the sample to be detected to the quantity of the characteristic peaks of the original drugs, and carrying out second judgment on the sample to be detected according to the t; and 5, calculating a ratio s of the quantity of matched characteristic peaks to the quantity of the characteristic peaks of the original drugs, and carrying out third judgment on the sample to be detected according to the s. The detection method provided by the technical scheme is high in accuracy and strong in reasonability; and the false positive rate of the judgment is remarkably reduced and the requirements of on-site rapid detection can be met.