32results about How to "Realize quantitative identification" patented technology

The invention discloses a Duffing equation Lyapunov index based ultrasonic guided wave detection method. The method comprises the following steps: 1, calculating to obtain the change Lyapunov index of a Duffing oscillator signal detection system with the driving force F; 2, inputting a Hanning window modulated ultrasonic guided wave signal to the Duffing oscillator signal detection system, and calculating to obtain the Lyapunov index of the Duffing oscillator signal detection system with the driving force F after the input of the ultrasonic guided wave signal; 3, selecting the driving force F corresponded by a largest absolute value of a difference between two L1 vales in the area having a product of the L1 value before the input of the ultrasonic guided wave signal and the L1 value after the input of the ultrasonic guided wave signal as the driving force of the Duffing oscillator signal detection system; 4, exciting the ultrasonic guided wave signal on a detected object, and obtaining a receiving signal through a receiver; and 5, inputting the receiving signal to the driving force selected Duffing oscillator signal detection system, determining the detected object is intact if L1 is greater than 0, and determining the detected object contains a defect if L1 is lower than 0.

The invention discloses a measuring method of a humidity-controllable semiconductor gas sensitive element, belonging to the field of element measurement and solving the problem that the existing measuring method of a formaldehyde gas sensitive element is incomplete and is low in humidity control precision. The technical point is as follows: the measuring method comprises the steps of building and measuring a semiconductor gas sensor measuring system, in which a humidity control system is used and comprises a main controller, a humidity detection sensor, a dehumidifier, an ultrasonic humidifier and a buzzer, wherein the humidity detection sensor, the dehumidifier and the ultrasonic humidifier are mounted in a gas chamber, the main controller is respectively connected with the humidity detection sensor, the dehumidifier, the ultrasonic humidifier and the buzzer. Through use of the measuring method, the measurement of the formaldehyde gas sensitive element is more complete, and the controllability and control precision of the humidity are improved.

The invention discloses a testing method for a semiconductor gas sensitive element, and belongs to the field of element testing. The method is used for solving the problem that an existing semiconductor gas sensitive element testing method is not perfect. The testing method is technically characterized by comprising the step of assembling and testing a semiconductor gas sensor testing system and the step of analyzing the semiconductor gas sensor testing system and the performance of the semiconductor gas sensitive element. The testing method has the advantage that powerful guarantees are provided for the testing environment and the testing precision of the semiconductor gas sensitive element.

The invention relates to a method for evaluating the overall health degree of an information system based on big data analysis, belonging to the information technology field. The method comprises thefollowing steps: step S11, acquiring state indexes and performance indexes of various resources in the information system, calculating resource state index scores, resource performance index scores and overall usability index scores of the information system, wherein the overall usability index score of information system is based on the resource status index score; S12, calculating the overall health degree of the information system based on the resource state index score, the resource performance index score and the overall availability index score of the information system. The invention solves the problem that the information system in the prior art has no overall health degree analysis and research and judgment, realizes real-time tracking of the overall health degree of the information system, realizes automatic early warning and research and judgment of the information system by means of the quantitative health degree index before the system performance is lowered and the faultoccurs, and ensures the safety, stability and efficient operation of the information system itself.

The invention discloses an experimental system for detecting a broken wire of a wire rope of a hoist and a detecting method thereof, and the experimental system comprises a bottom plate, a first support device, a second support device, a third support device and a detecting device, wherein the wire rope is sequentially wound around a pair of support wheels on the left side, a left tensioning wheel, a driving wheel, a right tensioning wheel, and a pair of support wheels on the right side and forms a closed loop; the detecting device comprises an excitation device and a detecting component; theexcitation device is arranged on the wire rope; and a Hall sensing array is sequentially connected to a conditioning device and a signal collecting device. The corresponding detecting method denoisesmultiple scale signals by improving the non-local mean denoising method, and uses the particle swarm optimized support vector machine model to quantitatively identify the broken wire. The experimentalsystem for detecting the broken wire of the wire rope of the hoist and the detecting method thereof perform signal acquisition and analysis under different working conditions of wire rope, realize the quantitative identification of broken wire, and have the advantages such as fast detection speed and non-contact.

The invention provides a preparation and detection method of a mercury ion electrochemical biosensor. The electrochemical biosensor comprises a double-electron mediator, an electrode modifier and a functional substance, wherein the double-electron mediator is an Fc-Ru < 3 + > mediator, the electrode modifier is catechol and chitosan, and the functional substance is thymine. The electrochemical sensor can specifically recognize mercury ions, can be applied to mercury ion detection in water environment protection and wastewater treatment, and has the advantages of high sensitivity, good selectivity, low cost, simplicity in operation, convenience in carrying, short analysis time and the like.

The invention discloses a pavement power spectrum measuring method based on a vertical dynamic load of a wheel. The method is implemented based on a designed test vehicle provided with a six-componentinstrument. The method includes the steps: firstly, acquiring a vertical dynamic load signal of a test vehicle tire by the aid of the wheel six-component instrument; secondly, building a relationshipbetween pavement roughness and the vertical dynamic load of the wheel, and calibrating an amplification factor of the test vehicle to obtain a pavement power spectrum; finally, identifying pavement roughness characteristics according to a power spectrum of the vertical dynamic load. According to the pavement power spectrum measuring method based on the vertical dynamic load of the wheel, the influence on a true value of the pavement roughness caused by pavement cleanliness is reduced, the method has good measuring dynamic stability, the designed test vehicle avoids vertical dynamic loads caused by vibration of an engine and rotation of a transmission system, measuring accuracy of vertical dynamic load spectrum of the wheel is improved, a pavement roughness characteristic identifying method is simple and visual, and a pavement is conveniently evaluated by workers.

The invention discloses a method for identifying a traditional Chinese medicine quality marker based on an analytic hierarchy process-entropy weight method. The method comprises: carrying out weight analysis on three core quality attributes of effectiveness, testability and specificity of traditional Chinese medicine components by using an analytic hierarchy process; analyzing specific indexes under each attribute based on literature and/or experimental data by applying an entropy weight method; and after obtaining the weight of each specific index, carrying out weighted calculation on the comprehensive score of each component, and sorting, so that three core factors of effectiveness, testability and specificity of traditional Chinese medicine components are integrated, a quality marker system evaluation system is constructed, the traditional Chinese medicine quality marker quantitative identification method based on analytic hierarchy process-entropy weight method comprehensive evaluation is established and is successfully applied to research of the classic famous prescription peony and liquorice soup quality marker, a new method is provided for quantitative evaluation and accurate identification of the traditional Chinese medicine quality marker, and an important support is provided for powerfully improving the traditional Chinese medicine quality control level.

The invention discloses a metamorphic rock quantitative identification method based on diagenetic indication elements. The content change of the bedrock lithology indication element in different diagenetic stages is determined by adopting the lithology index N for eliminating the porosity influence, the correlation between the bedrock lithology indication element and the bedrock lithology indication element is established by extracting the logging response characteristics, and lithology quantitative identification is performed by taking the critical interval of the element content change as the basis. Natural gamma and N-value envelope area are applied to directly and qualitatively indicate lithology of the buried hill bedrock; the indication effect of the trace element selenium on the lithology of the buried hill bedrock is determined; and the natural gamma and N value envelope area are calibrated by using the selenium content, and a quantitative identification standard of bedrock lithology is established.

The invention provides a fracture identification method and device. The method includes: acquiring offset gathers in n directions; converting the offset gathers in n directions into angle gathers; superimposing angle gathers in the n directions according to a preset subangle range to obtain subangle superposition data; solving fracture density, fracture azimuth angle and anisotropy parameters according to the subangle superposition data; solving fracture fluid indicating factors according to the fracture density and anisotropy parameters; comprehensively identifying fractures according to the facture density, the fracture azimuth angle and the fracture fluid indicating factors. The fracture identification method has the advantages that the factures are comprehensively identified by solving three Ruger reflection coefficient equations and according to the data obtained by the equation solving, the problems that current industrial conventional fracture predicting methods are low in fracture identification precision and fracture fluid cannot be identified quantitatively are solved, the fractures can be identified precisely, and the fracture fluid can be identified quantitatively.

The invention belongs to the technical field of pipe gallery crack seepage prevention. The invention discloses an underground comprehensive pipe gallery crack water seepage prevention treatment methodbased on a intelligent city. The underground comprehensive pipe gallery crack water seepage prevention treatment system based on the intelligent city comprises a power supply device, a pipe gallery crack image collection device, a main control device, a crack recognition device, a cleaning device, a grouting device, a heating device, an electric drill device, a pipe gallery risk evaluation deviceand a display device. According to the invention, the problems of low crack recognition precision and incapability of identifying the crack fluid in the prior art are solved, so that the technical effects of effectively improving the crack recognition precision and quantitatively identifying the crack fluid are achieved; meanwhile, the comprehensive pipe gallery disaster chain Bayesian network model can be constructed through the pipe gallery risk evaluation equipment according to the evolution law of various potential disasters in the comprehensive pipe gallery, the occurrence probability ofeach disaster of the pipe gallery is predicted, the loss degree of the pipe gallery is assessed, and an effective comprehensive pipe gallery pregnancy source chain breakage disaster reduction mechanism and measure are provided.