71results about How to "Meet the needs of practical engineering applications" patented technology

The invention relates to a high-speed calculation correlated imaging system and method based on a preset modulatable light source.The imaging system comprises the light source, an electro-optical modulator array modulating system, a single-point light intensity detector, a data collecting module and a data synchronizing and processing module; the electro-optical modulator array modulating system is used for performing random binary intensity modulation on light emitted by the light source to form a light field with intensity distributed in a random fluctuation mode in free space; the single-point light intensity detector is used for detecting total light intensity obtained after the light field is reflected or transmitted by a target object to be detected and converting the total light intensity into electric signals related to the total light intensity; the data collecting module is used for obtaining the electric signals and obtaining total light intensity fluctuation information, the data synchronizing and processing module is used for controlling data synchronization between the electro-optical modulator array modulating system and the data collecting module and then conducting correlation calculation to obtain an image of the target object to be detected.The electro-optical modulator array modulating system is used for modulating light, the modulation speed is high, the refreshing frequency effect of the preset light source is improved, the refreshing frequency is at least improved to megahertz order, and imaging result and imaging quality are improved.

The invention relates to a sensor setup method capable of supporting failure prediction. The method is technically characterized by comprising two steps: sensor number optimization and sensor location optimization: firstly, performing the sensor number optimization step: obtaining a minimum acceleration peak value of a signal according to parameters of an instrument, obtaining an incident wave propagation limit distance threshold according to a wave amplitude attenuation formula of incident wave and obtaining the minimum number n of the required sensors; and then obtaining the sensor arrangement location by a finite element model, and adjusting the number and the location of the sensors according to the incident wave propagation limit distance threshold. The method can help realize that parameter information which reflects real structure state is maximally obtained with the minimum sensor number. The method adapts to setup complexity of the sensors for structural health monitoring and damage detection, and can better meet the needs of the actual engineering application. The invention can provide a sensor setup standard for the structural damage detection and the structural health monitoring; and help configure a detection system or a monitoring system more economically and reasonably.

The invention relates to an unknown target line spectrum detection method based on phase variance weighting and a system thereof. The unknown target line spectrum detection method is characterized in that a signal radiated by an unknown target can be received by a receiving array element; the signal received by the receiving array element can be filtered and amplified, and the sampling of the filtered and amplified data can be carried out to acquire a discrete signal, and by the Fourier conversion analysis of the discrete signal, the spectrum data can be acquired; various frequency unit phases can be extracted from the spectrum data; the signal received by the receiving array element can be updated, and the previous steps can be repeated until the number of the repeated times reaches the preset value M, and then every frequency unit is provided with M phase values; the variance calculation of the phase values of the frequency units can be carried out; the phase variance weighting statistic of all of the frequency units can be carried out to acquire the estimation values of the final spectrum, and the maximum value can be acquired from the estimation values of the final spectrum to acquire the estimation value of the signal line spectrum; and the estimation value of the signal line spectrum can be used to detect the line spectrum of the unknown target of the underwater target radiation noise.

The invention discloses a green building energy consumption composite prediction method, relates to the technical field of electric power demand side energy consumption analysis and prediction, and particularly relates to a building electric energy consumption prediction model. The method comprises: monitoring personnel information, building body information, building external environment conditions and other information on the basis that historical electric power consumption data are collected on the basis of a big data center. The big data center can observe the energy consumption condition of the building demand side in real time; meanwhile, the energy consumption is evaluated and diagnosed through big data mining. On the premise of recording climate and power consumption, an FCM fuzzy C-means method is adopted to carry out data cleaning on power data of a demand side. An analytic hierarchy process is adopted to carry out data reduction on collected building basic information and main factors influencing energy consumption, and then a swarm intelligence algorithm (PSO-BP prediction model) is adopted to propose an optimal energy-saving strategy.

The invention provides a delay inequality estimating method based on frequency variance weight and is used for estimating delay inequality of object radiation signals received by different reception array elements in a hydro-acoustic positioning system. The method comprises steps that time domain correlation spectrum and corresponding initial delay inequality of each frequency unit are calculated for multiple times; a frequency variance corresponding to each initial delay inequality is acquired through calculation, reciprocals of the frequency variances are calculated to form weight factors, the weight factors corresponding to each initial delay inequality are summed to acquire the final time domain correlation spectrum, and the final delay inequality is calculated from the final time domain correlation. According to the method, a guide signal is employed to carry out frequency domain cross correlation of each frequency unit, by utilizing characteristics of a non-true-value delay inequality corresponding to the frequency unit in a random mode and a true-value delay inequality corresponding to the frequency unit in a relatively consitent mode, frequency variance statistics of each delay inequality estimation result is carried out, the proportion of a line spectrum signal corresponding to the true-value delay inequality in delay inequality estimation is stressed, and the proportion of a noise unit corresponding to the non-true-value delay inequality in delay inequality estimation is weakened.

The invention relates to the technical field of building materials, in particular to construction waste recycled concrete and a preparing method thereof. The construction waste recycled concrete is prepared from, by weight, 225-350 parts of P O42.5 cement, 85-95 parts of II-class coal ash, 0-85 parts of S95 mineral powder, 658-1047 parts of natural fine aggregate, 741-988 parts of recycled coarse aggregate, 9-10.5 parts of an additive and 160-192 parts of water, wherein the fineness modulus of the natural fine aggregate is 2.6, and the granularity of the recycled coarse aggregate is 5-31.5 mm. On the basis of an equal mortar volume method (namely EMV method), by establishing a residual mortar volume replacement formula and analyzing and comparing physical performance of the raw materials, through a large number of creative experimental data, the most practical recycled concrete mix proportion is obtained, the quality performance of the recycled concrete is improved, and meanwhile the actual engineering application requirement is met.