56 results about "Data processing software" patented technology

The invention discloses a DNA molecular marker rapid detection system and method based on imaging spectrum light splitting, and belongs to the technical field of molecular biological detection. The system comprises an exciting light array 1, a receiving and transmitting integrated detection light path 2, an optical fiber transmission array 3, a light splitting module 4, spectral data processing software 5 and a push-broom structure 6. The excitation light array 1 realizes excitation of different labeled samples; the receiving and transmitting integrated detection light path 2 reflects and focuses the array exciting light to a sample and converges fluorescence generated by the sample to an optical fiber input end; the optical fiber transmission array 3 realizes single-row multi-sample fluorescence transmission; the light splitting module 4 is used for dispersing exciting light and fluorescent light of multiple samples in a single row; the spectral analysis processing software 5 is used for acquiring and preprocessing data; the push-sweeping mechanism 6 realizes row-by-row detection of multiple rows of samples. According to the technology, high-throughput, high-sensitivity and rapid detection of the DNA molecular marker is realized. The method is suitable for the fields of fake material evidence identification, food and biological safety and the like, and has the advantages of simplicity and convenience in operation, strong anti-interference performance and the like.

The invention relates to the technical field of insulation rope detection, and discloses a high-precision measurement and surface defect identification insulation rope full-automatic detection system, which comprises a take-up and pay-off module, a laser measurement module, an AI visual detection module, a tension control module, a data transmission module and a data processing module, and is characterized in that the take-up and pay-off module comprises an active take-up and pay-off mechanism; the laser measuring module comprises a high-precision laser diameter measuring instrument; the AI visual detection module comprises a YOLOv8 visual detection system; the tension control module comprises a pneumatic tension controller; the data transmission module comprises an industrial Ethernet, and the data processing module comprises an industrial computer and professional data processing software. According to the full-automatic insulation rope detection system with high-precision measurement and surface defect identification, full-process automation of insulation rope detection is realized, and the problems of low efficiency, poor precision and high false alarm rate of traditional manual detection are solved.

The invention discloses a pluggable software three-party equipment access method, and relates to the technical field of chromatographic data processing software systems. The software automatically scans the configuration file under the specified directory in the starting process; if yes, loading the data into a memory; analyzing the configuration file according to a preset analysis rule; the software receives the equipment which is selected by the user through the software interface and needs to be connected, finds the information structure body corresponding to the equipment selected by the user, and communicates and controls the equipment through the control logic in the information structure body; and after the equipment responds, the software collects response data through the data interaction logic in the information structure body and displays the response data to the user. By defining a standardized equipment access specification, equipment driver development and software main body implementation are separated, so that a third-party equipment developer can independently develop an equipment driver module according to the specification, a real plug-and-play function is realized, and the flexibility, expandability and maintenance efficiency of the system are remarkably improved.

The utility model relates to the technical field of heat supply pipe detection, and discloses a heat supply pipeline leakage monitoring device. The objective of the utility model is to solve the technical problems of high manual inspection cost, untimely water leakage point discovery, insufficient detection data accuracy and lack of remote monitoring capability in the prior art. The device comprises a temperature sensor and a liquid level sensor, the detection signal output end is connected with the microcontroller through the signal processing circuit so as to collect temperature and liquid level data of the sensing module, and the microcontroller is connected with the application module through the wireless transmission module; the application module comprises a data processing part and a display interaction part, the data processing part comprises a computer provided with data processing software, and the display interaction part comprises a display screen arranged in the examination room and mobile electronic equipment provided with a client. The system can monitor whether the pipeline leaks or not, reduces energy loss, reduces inspection cost, and is efficient in early warning, high in detection speed and high in precision.

The application discloses a kind of multi-beam outlier automatic filtering methods combined with uncertainty and density clustering algorithm, belong to multi-beam sounding data processing technical field.The application constructs grid node absorbable water depth point selection model according to CUBE filtering algorithm, and gridding is carried out to sounding data;The one-dimensional clustering of node absorbable water depth value is carried out using DBSCAN clustering algorithm, a plurality of water depth hypotheses are constructed according to the difference between water depth values, then the water depth hypothesis and uncertainty of node are updated using Kalman filter;Finally, the water depth hypothesis with higher reliability is selected from a plurality of water depth hypotheses as the real water depth value of node.The application can provide a kind of multi-beam sounding data automatic cleaning algorithm selection for domestic multi-beam sounding data processing software.

The invention relates to the field of active phased arrays, and provides a digital array ground installation pattern test method and system, and the method comprises the steps: achieving the time synchronization of a digital array and a test control system through a synchronization pulse; under time synchronization, a radio frequency digital chip in the digital array completes test data acquisition and storage according to a control instruction; and reading the stored test data, and obtaining a digital array installation directional diagram in each working mode through offline calculation in data processing software. The invention provides an effective solution for radio frequency digital integrated multifunctional digital array directional diagram test, and can be expanded to be used for digital array G / T value test.

The invention discloses a centrifugal switch vibration signal acquisition and analysis method, and relates to the technical field of centrifugal switch testing, and the method comprises the steps: designing a vibration signal acquisition circuit frame which comprises a vibration sensor, a signal conditioning circuit, a band-pass filter, a high-speed data acquisition circuit and data processing software; establishing a signal conditioning circuit, wherein the signal conditioning circuit comprises a constant current source module, a signal blocking module, a buffering and amplifying module, a direct current bias level adjusting module and a low-pass filtering module; building a band-pass filter, and using an active second-order low-pass filter and an active second-order high-pass filter to improve the bandwidth of the band-pass filter; a high-speed data acquisition circuit is established, and a high-precision AD sampling chip is adopted to acquire data; analyzing the collected data through data processing software by using a wavelet transformation algorithm and a sliding window standard deviation algorithm to obtain a vibration signal starting moment; when the vibration signals are collected, the precision is high, and the vibration time is accurately judged.

Suturing simulation systems and related methods comprising a table, a membrane housing associated with the table, a suturing membrane attached to the membrane housing, an internal camera disposed within the membrane housing, and at least one sensor associated with the table, wherein the internal camera and the at least one sensor are configured to collect suturing data. Other systems and methods include a data collection software module configured to synchronize the suturing image data from the internal camera and the suturing sensor data from the at least one sensor, thereby resulting in synchronized suturing data, and further can include a data processing software module configured process and extract metrics from the synchronized suturing data.

The application discloses a kind of detection Zanhuang triploid jujube flower honey by ultra-high performance liquid chromatography fingerprint method, belong to analytical chemistry technical field.The application is extracted to the sample to be measured by trifluoroacetic acid, acetonitrile, after concentration and redissolving, the fingerprint of sample solution is determined by high performance liquid chromatography under 213nm wavelength, using traditional Chinese medicine fingerprint similarity software compares and calculates the similarity of sample and Zanhuang jujube flower honey control fingerprint, according to the similarity of sample is identified.Therefore, the detection method of the application can simultaneously analyze the overall composition and proportion relationship of multiple components, form the overall "fingerprint", improve the accuracy of identification.At the same time, the detection method of the application is more efficient, a large amount of chemical information can be obtained by instrument analysis once.Combined with automatic sample pretreatment equipment and intelligent data processing software, high-throughput screening can be realized, more suitable for market supervision and large-scale quality control.

The different-height intersection road building method, device, equipment and readable storage medium, the different-height intersection road building method includes: using simulation scene software to build multiple branches with inconsistent heights, forming an intersection according to the traffic logic of each branch, and importing the three-dimensional data of the intersection into a three-dimensional data processing software; using the three-dimensional data processing software to modify the intersection based on the three-dimensional data of the typical intersection, fill the gaps between the roads in each intersection, and generate a new three-dimensional model of the intersection, convert the new three-dimensional model of the intersection into an OpenCRG file describing the micro features of the road and a general three-dimensional model file using a conversion module, and modify the intersection built in the simulation scene software simultaneously; import the new three-dimensional model of the intersection and the OpenCRG file into the simulation scene software of the built branches, perform coordinate conversion and adaptation, superimpose the built branches and intersections in the simulation scene software, the new three-dimensional model of the intersection and the OpenCRG file, and complete the simulation building of the intersection road.

A method for constructing artificial pillars in large goaf areas using controlled blasting and slotting includes the following steps: S1. Based on three-dimensional laser scanning and ground pressure monitoring data, a three-dimensional digital model is generated using data processing software to identify potential high ground pressure instability risk areas and determine the location, shape, and size parameters of the artificial pillars; S2. Main blasting holes, cutting holes, and auxiliary holes are arranged in the corresponding area of ​​the goaf roof to form a controlled blasting slotting design; S3. A reinforcing cage is installed at the bottom of the goaf, and the pillar mold is installed and assembled; S4. Using a micro-delay detonation method, the cutting holes, auxiliary holes, and main blasting holes are detonated sequentially, causing the roof rock to directionally collapse and fall into the reinforcing cage directly below, filling and compacting to form a composite artificial pillar; then, the outer mold is removed, completing the construction of the artificial pillar. This invention achieves an integrated and coordinated process of blasting pressure relief, crushed stone utilization, and pillar construction, with advantages of simplified procedures, minimal disturbance, and high stability.

The invention is suitable for the field of additive manufacturing, and provides an integral turbine integral forming additive manufacturing method which comprises the following steps: establishing a three-dimensional digital model of an integral turbine part by utilizing three-dimensional modeling software; adding support to the whole turbine part by using data processing software; slicing and layering the model by utilizing subdivision software, planning a scanning path, and importing the scanning path into control software of electron beam powder bed melting equipment; tiAl alloy powder and a substrate are put into electron beam equipment to complete leveling preparation, and a gun chamber and a forming chamber are vacuumized and filled with a certain amount of helium; according to the method, through three-dimensional modeling, targeted supporting design, precise slicing and scanning path planning, and in combination with substrate preheating, layered powder laying and presintering, melting forming and heat preservation, vacuum cooling and cleaning and hot isostatic pressing treatment, the TiAl alloy microstructure can be optimized, the high-temperature strength, creep resistance and durability of parts are improved, the manufacturing period is shortened, and the cost is reduced; and the forming qualification rate is improved.

The invention relates to the technical field of high-strength steel production, in particular to an ultrahigh-strength steel cold-rolled material constitutive hardening model construction method. Simulating rolling; measuring mechanical properties; data processing and drawing; and performing linear fitting. The method has the advantages that based on the idea of combining physical experiments and mathematical modeling, a constitutive model is established through the systematized process of'simulated rolling + mechanical property measurement + double logarithmic linear fitting ', data processing software is adopted for data processing and linear regression, a power function hardening model is obtained, and the method has the advantages of being simple in structure, convenient to operate and high in practicability. The method shows excellent fitting precision in 980MPa and 1180MPa ultrahigh strength steel, the model has clear statistical support, and the prediction accuracy and reliability of the material hardening behavior are remarkably improved; the whole modeling process is clear in step and conventional in equipment, only a conventional two-roller cold rolling mill, a universal tensile testing machine, a wire cutting machine and general data processing software are needed to complete the modeling process, and the whole process from sample preparation to model output is high in standardization degree.

The present application relates to a kind of fA grade weak current signal software filtering method, electronic equipment and storage medium, filtering method includes the following steps: setting sampling parameter, calculate sampling point number preset target value;Start AD data acquisition, when sampling point number reaches preset target value, trigger data processing software interrupt, and carry out first-stage filtering processing;Call back secondary filtering processing function, carry out secondary filtering processing, obtain filtered voltage value, first-stage filtering uses arithmetic average filtering algorithm, secondary filtering uses recursive average filtering algorithm.The present application, by arithmetic average filtering algorithm superimposed recursive average filtering algorithm of two-stage software filtering algorithm can be sequentially effectively filtered out periodic and aperiodic interference in weak current signal, realize the effective extraction of system thermal noise in micro-current signal and filter out, and to the greatest extent, retain signal dispersion, make the fitting curve after filtering and actual curve further coincide, effectively improve measurement accuracy.

The invention belongs to the technical field of rock-soil thermal response tests, and discloses a rock-soil thermal response test device and an intelligent data processing method.The rock-soil thermal response test device comprises a buried pipe water circulation system and a data acquisition and control system; the buried pipe water circulation system comprises a double-U-shaped buried pipe, a heating box, a water tank and a circulating water pump and is used for providing power for water circulation in the double-U-shaped buried pipe and heating circulating water according to set power. The data acquisition and control system comprises a plurality of data acquisition units, a temperature measuring line, a controller, a gateway, an antenna and a touch screen, and is used for acquiring real-time data of each monitoring point in the test process, uploading test data to the cloud platform and controlling start and stop and power adjustment of the circulating water pump and the heating box; and data processing software preset in the cloud platform can perform analysis processing, parameter calculation and result output on test data after the test, so that intelligent processing of the test data is realized, and the efficiency of obtaining the result of the rock-soil thermal response test is greatly improved.

The invention discloses a manufacturing method of a liquid cooling plate of an array microstructure. The manufacturing method comprises the following steps: S1, modeling the liquid cooling plate, and importing Magics software to repair the liquid cooling plate; s2, based on the internal cavity structure of the liquid cooling plate, a direction-finding placement mode is adopted; s3, according to the scanning layer thickness agreed by the forming process parameters, the slice thickness is set, data is imported into special data processing software, proper process parameters are selected, and a printing task is exported; s4, a printing task is imported into printing equipment, a proper gas type is selected, and regional scanning processing is started; and S5, printing is completed, redundant powder and an auxiliary support are cleaned, and heat treatment is conducted after the supporting face is ground and polished. Workpieces are printed through the selective laser melting technology, the product quality is kept, and meanwhile the yield is increased. The structure is simplified and the weight is greatly reduced through the capillary protrusions correspondingly arranged in the cold flow cavity in a staggered mode, heat exchange is improved, and meanwhile due to the fact that the integrally-formed structure is lower in strength and heat resistance at the connecting position.

The invention provides a metal additive manufacturing molten pool temperature calibration method. The method comprises the following steps that dynamic temperature information of a molten pool in the metal additive manufacturing process is monitored through infrared thermal imaging equipment; the monitored dynamic temperature information of the molten pool is imported into a computer with data processing software, and the temperature of the molten pool is calibrated through the solid-liquid phase line temperature of the molten pool; and the temperature field information of the dynamic molten pool of the whole molten pool in the metal additive manufacturing process is obtained based on the molten pool solid-liquid phase line temperature. According to the method, the measurement precision of the thermal infrared imager on the temperature of the molten pool is improved, the trafficability and flexibility of the thermal infrared imager in the field of metal additive manufacturing are improved, a large amount of data about the temperature of the molten pool and emissivity changes can be generated in the temperature calibration process, and the accuracy of temperature calibration is improved. The data can provide rich information for researching thermophysical phenomena, material phase change and the like in the metal additive manufacturing process, and the additive manufacturing process can be deeply understood and optimized.

Provided are a three-dimensional molded article in which a crystalline thermoplastic resin is used and which has excellent mechanical characteristics, and a method for production thereof. The three-dimensional molded article is obtained by fused filament fabrication with a filament containing a crystalline thermoplastic resin, and the void ratio in the three-dimensional molded article is 5% or less. The method for producing the three-dimensional molded article involves forming the three-dimensional molded article by using a 3D printer to deposit layers of a filament containing the crystalline thermoplastic resin by fused filament fabrication. A setting value for a discharge amount input to the 3D printer or to 3D printer data processing software should preferably be a value greater than 100%.

The invention relates to a method for judging a decarburization end point of an RH refining process, and belongs to the technical field of steelmaking production methods. According to the technical scheme, the method comprises the following steps: mounting a laser flue gas analyzer; an industrial control computer is adopted in the field data processing center, data processing software developed independently is operated, and collection and analysis of key data of a production field are achieved; constructing a decarburization end point judgment model, and performing model decision-making of a model decision-making layer; and determining a decarburization end point, and executing layer response. The method has the beneficial effects that the change of CO concentration in flue gas is monitored in real time through the laser gas analyzer mounted on the flue, meanwhile, vacuum degree data in the vacuum chamber fed back by the primary PLC system is collected, and the decarburization end point of the current heat is automatically and accurately judged in combination with the constructed decarburization end point judgment model.

The invention discloses an intelligent motor state monitoring device and method, and the device comprises a processor module which obtains a voltage and current signal and a position signal of a permanent magnet synchronous motor from a motor drive controller through an SPI communication interface, and operates data processing software in the processor module. The data processing software is combined with an analytical model and a data driving mode to carry out motor state monitoring and fault diagnosis, the whole process comprises feature extraction, data fusion, fault classification and state prediction, and finally a motor state prediction result is fed back to a motor driving control system to carry out fault-tolerant control. The permanent magnet synchronous motor state monitoring and fault diagnosis system has the advantages that state monitoring and fault diagnosis of the permanent magnet synchronous motor are completed by utilizing the special processor and combining with a data processing means, state monitoring, fault diagnosis and state prediction of the motor can be rapidly completed, and the problems that a traditional motor monitoring system is high in cost and complex in wiring and cannot predict the future trend are solved.

The invention relates to a road information board working performance detection device based on an unmanned aerial vehicle. The road information board working performance detection device is composed of the unmanned aerial vehicle, a high-definition camera, a color brightness meter, an infrared scanner and data processing software. Wherein the color brightness meter and the infrared scanner are used for detecting the performance of the highway information board, and the high-definition camera is mainly used for checking fault modules of the information board and rechecking the functions of the information board. The detection device is generally arranged at the top end of a detection vehicle, performs power supply and information uploading when the vehicle stops, can operate singly after arriving near a highway information board, can also perform real-time linkage work through a preset program, realizes one-stop data acquisition of functions, performance and operation states of the information board, can perform detailed technical condition evaluation on the operation information board, and has a wide application prospect. And data support is provided for later scientific maintenance.

The invention discloses an underground cable detection system and method based on a vector weak magnetic detection technology, the system comprises a detection host and an upper computer, the detection host comprises a fluxgate sensor, a signal conditioning module, an analog-to-digital conversion module, an FPGA processing unit, a storage unit, an MCU and a host power supply unit; the fluxgate sensor collects a magnetic field signal sent by the cable, the magnetic field signal is converted into an electric signal through the denoising and filtering technology of the data collection system, and the position and the burying depth of the cable are automatically calculated through data processing software. According to the method, the underground cable can be accurately identified and effectively positioned, and especially the electrified cable has a good effect. The underground cable detection system and method can be applied to the fields of urban pipeline detection, submarine cable detection and the like, have wide applicability and weather resistance and have the advantages of being small in size, convenient to carry and capable of achieving wireless data interaction.

The invention provides a system and method for automatically associating automobile product data and performance parameters in batches, and belongs to the field of automobile research, development and manufacturing, the system comprises a data standardization module, a database module and a technical parameter association module, and the method comprises the following steps: filling technical parameters according to a standardization template; analyzing and classifying the parameters through an automatic tool to form a database; and a matched diagnosis interface is used, so that the product data processing software calls the parameter information, associates the technical information with the product data, and reads the state from a product interface in real time. According to the method, a standardized template and standardized technical parameter information can be formed; the standardized information is subjected to database structure management, data information is stored in order, interfaces of product data and technical information are provided, automobile technical files, automobile products and automobile product data are linked in three islands to form twin data, and a basis is provided for data twin.

The present application relates to the technical field of satellite navigation signal processing, and particularly relates to a non-continuous epoch cycle slip detection method, comprising collecting observation data; judging whether the observation data produces an inter-epoch cycle slip, if the observation data produces an inter-epoch cycle slip, then executing the next step, otherwise performing sampling separation; interrupting the counting of the epochs of the observation data losing lock to obtain the lock loss time; using a data processing software to perform sampling separation on the observation data to obtain a sampling interval; judging whether the inter-epoch interval of the observation data or the lock loss time is greater than 1s, if the inter-epoch interval of the observation data or the lock loss time is greater than 1s, then executing the next step, otherwise performing multiple difference detection; using the sampling interval to use the Lagrange interpolation method to perform interpolation on the observation data to construct high sampling rate data; using the high difference method to perform multiple difference detection on the observation data or the high sampling rate data to judge whether there is a non-continuous epoch cycle slip, and obtaining a detection result, thereby solving the problem that the existing cycle slip processing method cannot detect non-continuous epoch cycle slip.

The invention relates to an online real-time continuous detection method for the taper of a continuous casting crystallizer, and belongs to the technical field of continuous casting equipment state monitoring and control methods. According to the technical scheme, a laser range finder is installed, and system calibration is carried out; an industrial control computer is adopted, data processing software is carried, and full-process automatic processing of data acquisition, preprocessing and storage is achieved; on the basis of the preprocessed laser measurement data, a real-time taper calculation-dynamic threshold judgment secondary model is constructed, and accurate calculation and abnormal early warning of the taper are achieved; and outputting a detection result and responding to execution. The method has the beneficial effects that non-contact, high-precision and full-period real-time monitoring on the taper of the crystallizer is realized by reasonably arranging the laser range finder and constructing a multi-dimensional data processing model and a taper calculation algorithm, and meanwhile, the method has abnormal early warning and data tracing functions and provides decision support for casting blank quality control and equipment maintenance.

The application discloses a distributed optical fiber acoustic sensing based seismic advanced detection system with mining. It is related to the technical field of seismic exploration. Based on the distributed optical fiber acoustic sensing technology, the vibration generated by the cutting of coal rock stratum by mining machinery is utilized to realize the seismic detection with mining. In the production process, the detector collects the vibration data of the mining machinery and transmits the data to the server through a network; the optical cable is arranged on the two sides of the upper and lower crossheading of the coal mining face or the two sides of the roadway of the tunneling face; the demodulator sends out pulsed laser and transmits the laser to the optical cable of the working face through an industrial ring network or an independent fiber core, measures the vibration of the vibration points of the optical cable at equal intervals, and returns the measured data packet to the demodulator through the industrial ring network or the independent fiber core; after the demodulator demodulates the vibration waveform data, the demodulator is uploaded to the server; after the waveform is denoised by the server data processing software, the waveform is stored, imaged and intelligently interpreted in real time, so that the geological structure and the abnormal area in front of the working face are detected.

The invention discloses an oil spill degradation intermediate product in-situ detection kit and a use method thereof, and belongs to the field of environmental monitoring, the kit comprises an alkane degradation indication module, an aromatic hydrocarbon degradation indication module and a total petroleum hydrocarbon residue detection module, the alkane degradation indication module utilizes fatty alcohol dehydrogenase to catalyze a reaction between fatty alcohol and NAD, and the total petroleum hydrocarbon residue detection module is used for detecting total petroleum hydrocarbon residues. NADH reduces tetrazole salt to generate a purple formazan compound for colorimetric detection, and the aromatic hydrocarbon degradation indication module utilizes catechol dioxygenase to catalyze ring opening of catechol to generate a yellow semialdehyde compound for colorimetric detection. According to the total petroleum hydrocarbon residue detection module, fluorescence quenching is caused by an inclusion compound formed by fluorescein labeled cyclodextrin and petroleum hydrocarbon, the kit is matched with a portable photometer and data processing software, detection can be completed within 15 minutes on site, an evaluation index of the oil spill degradation efficiency can be calculated, the detection sensitivity reaches 5 milligrams per liter, and the detection time is short. And a rapid screening tool is provided for oil spill bioremediation engineering.

The application designs a three-dimensional flow cytometer and method based on optical detection and ICP-MS combination, relates to the technical field of life analysis scientific detection equipment; first, a three-dimensional flow cytometer is provided, a three-dimensional flow cytometer method based on optical detection and ICP-MS combination is designed based on the analyzer, and the flow cytometer can only perform single-parameter flow cytometer analysis of fluorescence, scattering and mass spectrum or multi-parameter flow cytometer analysis in any combination; the data processing software in the analyzer can provide offline processing of flow cytometer analysis data of fluorescence, side scattering light and mass spectrum, identify, calculate and statistically analyze single-cell pulse signals, especially can provide integration and unification among fluorescence, side scattering and mass spectrum single-cell signals, and obtain three-parameter information of the same cell.

The invention discloses a peak matching calculation method in high performance liquid chromatography data processing software, and relates to the technical field of chromatographic data processing, the method comprises the following steps: loading chromatographic data and a pre-configured component matching table, and carrying out first matching on the chromatographic data based on the component matching table; the chromatographic data comprises a reference peak and a measured peak; performing rationality verification on a matching result obtained by the first-time matching, filtering out matched peaks which do not conform to a preset standard, and releasing components bound with the matched peaks which do not conform to the preset standard; carrying out secondary matching on the basis of the released components and the unmatched actually measured peaks; and outputting a final peak matching result. According to the method, the innovative steps of primary matching, peak filtering and secondary matching are introduced, so that the problems that in the prior art, the matching accuracy of some scene peaks is low, the matching is easily interfered by reference peaks and the like are solved, the accuracy and the stability of chromatographic data processing are improved, and more reliable data support is provided for scientific research and production.

The invention belongs to the technical field of plant chemical component analysis, and discloses a multi-species polyphenol flavonoid compound high-throughput identification method which comprises the following steps: S1, constructing a cross-platform compatible MSP database; s2, sample pretreatment: carrying out ultrasonic extraction on a plant sample with 70% methanol, centrifuging, and filtering a supernatant with a filter membrane; wherein the plant sample comprises folium cortex eucommiae, rosemary, day lily, sea-buckthorn, herba houttuyniae or tea leaves; s3, carrying out liquid chromatography-mass spectrometry detection; s4, data matching and identification: using open source mass spectrum data processing software, setting the mass deviation to be less than or equal to 5ppm, the retention time deviation to be less than or equal to 0.3 min and the Dot product score to be more than or equal to 80%, and carrying out automatic identification; the technical problems that mass spectrum platform data is isolated, multi-species batch detection is difficult, the detection consistency is influenced by the matrix effect, and the compound identification efficiency is low are solved.