33results about How to "The identification process is simple" patented technology

The auxiliary method and device for driver to keep lane relates to traffic engineering technology. The technological scheme includes the following steps: taking lane image during driving with a CCD camera and transmitting the image to a processor; processing the image signal with an image treating process to calculate the gradient vector value of the image brightness function, establish edge distribution function (EDF), create histogram and determine the maximum value position and symmetric axis position of the histogram; processing the obtained EDF local maximum position and the symmetric axis position in the control unit and comparing the tested parameter and preset threshold value to judge the deviation of the vehicle to the lane. The present invention is not affected by the optical lens, lane width, vehicle type and other parameters and has simplified distinguishing process and high efficiency.

The invention belongs to the technical field of identifying synchronous generator parameters, and relates to a method for identifying the synchronous generator parameters by an improved evolution algorithm. Starting from an randomly-generated initial generator parameter group, optimal solution is searched through generation of an initial group, fitness calculation, recombination, mutation and selection, and stopping operation according to operating principles of struggle for existence and survival of the fittest by using actual measurement data in a power management unit (PMU) in a wide area measurement system (WAMS); and an improved evolution strategy algorithm of biomimicry is taken as optimizing theoretical basis, the decoupling of a direct axis and a quadrature axis of the synchronousgenerator and steady state and transient state are processed separately, an initial practicable parameter group is established through design parameters, and a differential equation of a higher orderis calculated by selecting a high-precision improved Euler method, so that the output variable set by the generator is solved, the optimizing process is realized through recombination, mutation and selection of the initial group, and the synchronous generator parameters are identified. The method is simple and has a reliable principle, and the correctness of the parameter identification is high.

The invention discloses a nonlinear model predictive control method based on support vector machine for groove type reactor, which consists of support vector machine open loop identification circuit and closed-loop control circuit, the vector machine comprises support vector machine and its black box identifier, a controlled member groove type reactor, an internal prediction model, a feedback calibration and closed-loop output, a non-linear controller design, and a reference track, wherein the support vector machine identifies the non-parameter internal forecast model of the groove type reactor, obtains the closed-loop output through model output error for feedback calibration, and calculates the single step and multi step forecasting and analyzing control rule exerted to the system.

The embodiment of the invention discloses a target ranging method and device. The method includes the following steps that: echo signals obtained when a radar beam is reflected by a target object areobtained, down-conversion processing is performed on the echo signals by using an integration mode, so that pulse signals corresponding to the echo signals are generated; the peak position of a pulsepeak in the pulse signals is acquired, the peak numerical value of the peak position is obtained, and the width numerical value of the pulse peak is acquired based on the peak position; and when boththe peak numerical value and the width numerical value satisfy a pulse threshold, the distance information of the target object is acquired according to time difference between the radar beam and theecho signals and a signal transmission speed. With the target ranging method and device of the invention adopted, the identification process of the pulse signals can be simplified, the stability of the pulse peak in the pulse signals can be ensured, and the detection accuracy of the detection of the distance information of the target can be improved.

The invention provides a method, a system and a device for realizing an audio and video conference. A speaker terminal strikes a time stamp for an audio and a video and marks the same time stamp in a text which is synchronous with the audio; and video frame sequence codes of corresponding video characteristic information are marked and then the codes are packaged to be sent to a participant terminal. The participant terminal decodes a data packet, and the audio and the video are played according to the time stamp of the audio and the video; the text is read according to a time stamp sequence of the text and the video frame sequence codes of the read text are compared with a sequence code of the played video; if the video frame sequence codes and the sequence code of the played video are the same, the sequence codes are embedded into the video to be displayed; if the video frame sequence codes and the sequence code of the played video are different, a subsequent video frame is continually read until the sequence codes of the read subsequent video frame are the same; or the subsequent text is read until the played video sequence codes and the sequence codes of the read subsequent text are the same; and the text is embedded into the video to be displayed. According to the method, the system and the device for realizing the audio and video conference, during a video conference, the audio and the corresponding text which is embedded into the video are synchronously played in a simple and short-time manner.

An embodiment of the invention discloses a method and device for data packet feature extraction and relates to the field of computers. The simple and efficient data packet extraction is achieved. The technical scheme is that the method comprises the steps of obtaining a data packet comprising at least one message; analyzing the data packet, collecting messages with five same tuples in the data packet into a data flow and obtaining X data flows; adopting each feature recognition model corresponding to the protocol type of the data flows in a preset database to recognize each data flow among the X data flows respectively and obtaining feature sets of all types of the X data flows; and selecting Y features from the feature sets of all types of the X data flows to serve as features of the data packet. The method and the device are used for data packet feature extraction.

The invention provides a molecular marker composition for identifying eggplant germplasm resources and application of the molecular marker composition. The molecular marker composition consists of 17SNP and InDel markers, and primer sequences for amplifying the molecular marker composition are shown in SEQ ID NO:1-18 respectively. The molecular marker composition expands the available marker siterange of eggplants, and the method for indentifying 12 parts of eggplant germplasm resources by the molecular marker composition is simple to operate, high in accuracy and reliable in result. The molecular marker composition has important theoretical and application values in aspects of eggplant germplasm resource identification, DNA fingerprint drawing, variety protection and management and thelike.

The embodiment of the invention relates to a vehicle positioning method and device, a vehicle and a storage medium. The vehicle positioning method comprises the following steps: identifying a site entrance; obtaining an indoor semantic map of the site according to the site entrance, wherein the indoor semantic map comprises semantic feature points of the site; correcting the positioning information of the vehicle in the indoor semantic map according to the semantic feature points obtained by the vehicle in motion; and acquiring positioning information of the vehicle according to the motion information of the vehicle relative to the previous semantic feature point. Because the selected features are semantic and easy-to-identify features of the road, the data volume of the points in each field is very limited, and the complexity of the processing algorithm is greatly simplified. The invention discloses a method for identifying points. The method is mainly used for identifying the physical quantities of the vehicle during running, the physical quantities are obtained by operation of other parts of the vehicle, and the identification process is correspondingly simplified greatly. For example, the slope-entering point can be identified based on posture and IMU, deceleration strips can be recognized by speed and IMU, and road joints can be identified by steering wheel and IMU.

The invention provides a method and a system for identifying a fossil power generation unit return passage model. Input data and output data of a fossil power generation unit return passage are respectively preprocessed, the preprocessed input data and the preprocessed output data are respectively linearly fitted, a fitted straight line is divided into corresponding line segments, the fossil power generation unit return passage model is further identified according to identifying signal models of slopes of the line segments and slopes of line segments formed by adjacent line segment heads and adjacent line segment tails of the line segments, and an advanced modeling tool is provided for optimizing design and debugging maintenance of a control system for controlling a fossil power generation unit. Intermediate quantities such as a re-tangent line, two points and a semi-logarithm do not need to be acquired, the process of identifying the fossil power generation unit return passage is simplified, and the practicability of the identifying method is improved.

The invention provides a kit for rapidly detecting various viruses in a muskmelon by one step and a rapid detection method adopting the kit, relates to a kit for rapidly detecting muskmelon virus diseases and a rapid detection method adopting the kit and solves the problem that a conventional multiplex RT-PCR (reverse transcription-polymerase chain reaction) detection technology for the muskmelon virus diseases can detect a small variety of muskmelon virus diseases simultaneously. The kit for rapidly detecting the various viruses in the muskmelon by one step contains 7 pairs of RT-PCR primers. The rapid detection method comprises the following steps: 1, total RNA (ribonucleic acid) of a blade infected with viruses is extracted; 2, the total RNA is reversely transcribed into cDNA (complementary DNA); 3, multiplex RT-PCR is performed by the 7 pairs of RT-PCR primers in the kit. As many as 7 muskmelon virus diseases can be detected simultaneously through one-time PCR, and the kit and the method can be used for gathering and identifying muskmelon virus disease varieties in a field and have the advantages of simple identification process, a few steps, low equipment requirements, low cost, short time, high accuracy and the like.

The invention discloses a method for performing cross breeding on water chestnut and Dongkui waxberry for waxberry cultivating variety. The method comprises the following steps: by taking water chestnut as a female parent and taking male flower of Dongkui waxberry as a male parent, pollinating during water chestnut full-blossom period; collecting seeds after the fruits are ripened, storing the seeds at the temperature of 5 DEG C, seeding to obtain F1 plants; and screening true hybrid plants from the F1 plants. Intervarietal cross breeding between the waxberry cultivating varieties such as water chestnut and Dongkui waxberry is realized for the first time, true hybrid plants with certain genotypes are obtained, and a novel technological approach is provided for breeding novel waxberry variety. Moreover, the filial generation is subjected to hybrid identification by amplifying specific expression SSR markers of the F1 generation, the identification process is simple and rapid and the cost is low, the identification result is stable and reliable, and the gap of the molecular biological identification technology of waxberry intervarietal hybridization is filled.

The invention provides an SNP marker, detection primer pair and kit for identifying Chinese cervus elaphus and cervus elaphus and application of the SNP marker and the detection primer pair. The invention provides 5 specific SNP sites and a pair of identifying primers for accurately identifying the Chinese cervus elaphus and the cervus elaphus and establishes an accurate and reliable detection method. The method has very good specificity and stability and high sensitivity, and the detection limit is 0.25ng/ul. A molecular marker technique is applied to identification of the Chinese cervus elaphus and the cervus elaphus for the first time, so that economic loss caused due to difficult differentiation of appearances is effectively avoided. The method is used for detecting 100 pilos antlers and byproducts in the market, and the accuracy rate is 100%. Identifying procedures are simplified, and the method is easy in operation and grasping and strong in generalization performance. The deficiency that a detection technique for precisely identifying the Chinese cervus elaphus and the cervus elaphus is not reported in the field in the prior art is remedied, and precise identification of Chinese cervus elaphus products and cervus elaphus products is realized.

The invention discloses a flowmeter cleaning and flowmeter adapter automatic installing line which comprises a cleaning station, a screening station, a visual inspection station and an assembling station. The cleaning station is composed of high-pressure water guns, a rotary bottom disc and a spiral guide plate. The screening station is composed of a primary posture correction conveying belt and a secondary posture correction conveying belt which is connected with a conveying line. The visual inspection station is composed of two collinear cameras symmetrically distributed on the two sides of the conveying line. The assembling station is composed of two collinear manipulators symmetrically distributed on the two sides of the conveying line. Flowmeter cleaning and flowmeter adapter automatic installing are achieved through the cleaning station, the screening station, the visual inspection station and the assembling station which are arranged in sequence, thus the flowmeter evaluation efficiency can be improved, and meanwhile, the evaluation process is simplified.

A control method and a control system for feeding prediction control in the process of fuel ethanol preparation through straw fermentation based on a fuzzy neural network are disclosed. The control method comprises the following steps: firstly, training a fuzzy neural network and building a nonlinear prediction model of the process of fuel ethanol preparation through straw fermentation according to historical batch data; secondly, predicting the future output state of the process of fuel ethanol preparation through straw fermentation according to the prediction model and by use of the input/output information of historical and future batch data, and performing feedback correction on model output error to get closed-loop output; and finally, comparing the closed-loop output with a reference input track, using quadratic performance indexes to carry out rolling optimization, and calculating out the feeding control quantity which needs to be applied to the system currently. The control system comprises field intelligent detection instruments, peristaltic pumps and an intelligent controller, wherein the field intelligent detection instruments and the peristaltic pumps are directly connected with a fermentation tank, the intelligent controller adopts an embedded ARM microprocessor technology, and a feeding prediction control algorithm is embedded into the intelligent controller. The control system and the control method of the invention can adapt to the dynamic characteristic, strong nonlinearity and strong coupling between loops in the process of fuel ethanol preparation through straw fermentation. A good control effect can be achieved.

Belonging to the biotechnology field, the invention discloses a flow identification method for homozygous line progenies obtained by wheat haploid breeding. According to the method, the concentrationsof citric acid and sodium chloride in a buffer solution mother liquor are optimized to 400-440g/L and 160-200g/L, nonylphenol polyoxyethylene ether is employed to substitute the common stabilizers and dispersants, and Hoechst 33258 with a concentration of 100-300mg/L is adopted to substitute DAPI and PI as the fluorescent dye, and the screen mesh of filtration and the centrifugal rotation speed are optimized to 350-450meshes and 1000-3000r/min respectively. Compared with the prior art, the method provided by the invention shortens the identification time, simplifies the identification steps,has more reasonable buffer configuration, can acquire more effective cells and remove more cell fragments, avoids detection interference, and improves the identification precision.

The invention discloses a liquid medium aluminum melting furnace model prediction control method based on data driving, and belongs to the field of industrial process control, and the method comprises the following steps: collecting and storing data such as current and voltage signals of a three-phase electrode on site; selecting a controller according to the deviation between the actual value and the set value of the electrode current, selecting a prediction controller when the deviation is larger and lasts for 10 seconds, and selecting a PI controller when the deviation is smaller; when the prediction controller is used, establishing an LSSVM (least square support vector machine) prediction model; optimizing key parameters in the LSSVM by using a POS; and designing a model prediction control algorithm according to the obtained prediction model. Compared with a traditional PID control system, the method is more accurate, the model identification accuracy is high, a good control effect is achieved, and engineering requirements can be met.

The invention belongs to the technical field of microorganisms and relates to a method for quickly identifying plant endophytic bacteria producing auxin. The method comprises the following steps: (1) preparing a culture medium and a developing solution, wherein the used culture medium is an improved R2A isolation and identification culture medium which contains tryptophan with the concentration of 0.5-2g/L, and the developing solution of the auxin is obtained by uniformly mixing 2mL of a 0.5M ferric chloride solution with 98mL of perchloric acid of which the volume fraction is 25-35%; (2) pretreating plant tissues, namely soaking the plant tissues by using ethanol of which the volume fraction is 70-75% and a sodium hypochlorite solution of which the volume fraction is 5-8% respectively, and then flushing by using distilled water; and (3) identifying the endophytic bacteria producing the auxin. According to the method provided by the invention, an isolation culture medium and an identification culture medium producing the auxin are improved and integrated, precursor tryptophan for producing the auxin is added into the culture medium, the developing solution of the auxin is immediately applied after strain separation, and the endophytic bacteria producing the auxin is quickly identified in 5-10min; and the identification process is simplified, the operation is simple, and the time is shortened, so that the method can be used for simply, quickly and effectively identifying the endophytic bacteria producing the auxin.

The invention provides a traffic signal lamp number identification method and system, and relates to the technical field of vehicle automatic driving. The traffic signal lamp digital recognition method comprises the following steps: acquiring an image or a video of a traffic signal lamp; identifying the shape of the traffic signal lamp in the image or video according to the image or video of the traffic signal lamp; selecting a pre-established identification model according to the shape of the traffic signal lamp; performing data preprocessing on the image or the video according to the identification model; and inputting the preprocessed image or video into a recognition model to recognize countdown numbers in the traffic lights. According to the traffic signal lamp number identification method, the identification process can be simple, countdown number identification of the traffic signal lamp is accurate, safe and stable driving of an automatic driving vehicle is guaranteed, and serious consequences of traffic accidents caused by sudden braking, red light running and the like of the automatic driving vehicle are prevented.

The invention provides an early friction instability fault identification method for a sleeve tooth connection structure. Firstly, a critical rotating speed of a rotor system with a sleeve tooth connection structure is determined, the critical rotating speed of the rotor system can be calculated through adopting a finite element method, and a sleeve tooth friction early-stage instability fault characteristic frequency band is determined. In actual operation, a first-order critical rotating speed of the rotor system can be obtained through adopting an experimental method or a commercial software calculation method. Vibration signals of the rotor system are collected, the rotating speed is collected, whether the rotating speed is slightly higher than the first-order critical rotating speed or not is further judged, vibration signals in the characteristic frequency band are collected, the sleeve tooth friction early-stage instability fault characteristic value is calculated, and whether the sleeve tooth friction early-stage instability fault occurs or not is judged according to the characteristic value. According to the early friction instability fault identification method, heavy loss caused by instability faults can be effectively avoided, the identification process is simple, the operand is small, the response time is at the millisecond level under a mainstream computing platform, the response is rapid, the method can be completely expanded and applied to airborne equipment, and the method has high engineering application value.

The invention relates to the technical field of data processing, and discloses a data processing method of rolling mill equipment based on a 5G network and related equipment, and the method comprisesthe steps: obtaining high-frequency vibration data generated by the rolling mill equipment during work through an Internet of Things gateway, through a preset high-frequency vibration data collectioncommunication protocol developed based on the 5G network, converting the vibration data to obtain block data with a continuous time domain, setting a unique identification code for the block data, andsending the block data and the unique identification code to an Internet of Things platform for storage when a data transmission instruction is received. Thus, the rolling mill equipment realizes conversion of the vibration data communication protocol by deploying embedded vibration data protocol analysis in an Internet of Things gateway in a 5G network environment, thereby realizing transmissionof continuous high-frequency vibration data to an Internet of Things platform.

The invention discloses a method for judging suitable technological parameters of low-temperature long-time cooking based on protein thermal denaturation degree. The method mainly comprises the following steps: designing different cooking process parameters to respectively carry out low-temperature long-time cooking processing on meat products to prepare a plurality of groups of samples to be discriminated, and discriminating suitable process parameters for low-temperature long-time cooking by utilizing a classical rule classification discrimination method according to the protein thermal denaturation degree of each group of samples to be discriminated. The low-temperature long-time cooking process parameters suitable for the meat sample can be judged only by measuring the thermal denaturation degree of the protein in the meat sample, and the method has the advantages of simple judgment process, low sample consumption, high judgment rate and the like.

The invention is applicable to the technical field of modular equipment, and provides a multi-module physical address sampling system which comprises modular equipment and an identification resistor,wherein the modular equipment comprises a total processor and at least one functional module, each functional module corresponds to at least one identification resistor, and the resistance combinations of the identification resistors corresponding to the functional modules are different; each functional module comprises a power supply and at least one divider resistor; the total processor is usedfor determining the physical address of the first function module according to the voltage value of the identification resistor corresponding to the first function module and a preset voltage-addresscomparison table. The physical address of each functional module can be determined according to the acquired voltage combination of the functional modules, so that the physical address identificationprocess is simplified, and the problem of complex physical address identification operation in the prior art is solved.

The invention provides a state recognition method and device for large medical equipment. The method comprises: acquiring an image of a working state display area page of a medical apparatus; judgingwhether the image meets a first group of preset conditions; if yes, determining that the medical apparatus is in operation. The state recognition method and device can effectively monitor the workingstate of medical equipment.

The invention discloses a tea grade discrimination method based on a partial least square discriminant analysis model. The method comprises the steps of directly constructing 20 PLS-DA models with potential variables from 1 to 20 between a response signal vector of a tea sample and a set label of the tea sample; predicting each tea sample by adopting the obtained 20 PLS-DA models and constructinga sorting difference sum matrix of the tea samples by using a prediction result; constructing a sorting difference sum standard reference sequence vector of each tea sample based on the sorting difference sum matrix of the tea samples, constructing a first index value matrix containing 20 rows and 1 column of index values, and then adjusting the row number of each row of data in the sorting difference sum matrix to construct a second index value matrix, and finally determining the grade of the tea samples by calculating the sum of the absolute difference values. The method has the advantages of simple discrimination process and higher discrimination precision.