34 results about "Moisture index" patented technology

The invention discloses a TRMM (Tropical Rainfall Measuring Mission) satellite rainfall product downscaling method based on M5-Local and a multi-environmental factor variable. An M5-Local regression thought is adopted, and a plurality of environment stress factors with high spatial resolutions are fully utilized to improve the spatial resolution of the product. Firstly, 1km environmental variable factors, such as eight pieces of data including a vegetation index, a digital elevation model, a daytime surface temperature, a night surface temperature, a terrain moisture index, a gradient, a slope aspect and a slope length gradient, are subjected to aggregate calculating to obtain 25km which serves as an independent variable, corresponding 25km-resolution TRMM data is used as a dependent variable, an M5-Local method is adopted for modeling, the intercept of a regression modeling equation of 1km spatial resolution and a slope parameter corresponding to each environment factor variable are predicted, and a 1kmTRMM rainfall value is calculated. A downscaling result based on an M5-Local model is obviously superior to a downscaling result of a conventional regression model.

The invention provides a tea preserved fruit processing method, relating to the preserved fruit processing. The tea preserved fruit processing method comprises the fruit choosing, rinsing, burdening, pickling and drying procedures, and the tea preserved fruit processing method is characterized in that: the processing steps are as follows: fruits with the ripening degree of 8-8.5 are chosen; the fruits processed by the previous procedure are cooked by a steam oven which can enable the fruits to roll over, and the skins of the fruits are wore; the burdening procedure is as follows: the ingredients comprise fresh tea leaves, xylitol and white granulated sugar with the ratio of 3:2:5; and the pickling procedure is as follows: pickling is carried out for 3-8 months, the 12-18% if tea leaves, 8-12% of xylitol and 20-30% of white granulated sugar are added in a pit in batches on the basis of detecting the sugar degree and moisture indexes when the pit is turned over. The tea preserved fruit processing method has the advantages that the fruits with the ripening degree of 8-8.5 have high nutritional value. Skin beating means that the skins are wore, so as to enable a sugar liquid to be permeated in the fruits. The tea leaves have the functions of strengthening the nutrition constituents, being benefits to digestion and having good antiseptic effect. The xylitol is used as a sweetener, a dietary supplement agent and an auxiliary therapeutical agent for people with diabetes.

The invention relates to the technical field of nuclear power safety, particularly relates to the field of equipment running safety of the moisture index of a secondary circuit of a nuclear power plant, and specifically relates to the diagnosis for the abnormal sodium index of secondary circuit condensed water of the nuclear power plant. The method is characterized by comprising the following steps: 1, acquiring data of sodium and relevant indexes of condensed water in real time; 2, extracting data of sodium and relevant indexes of the condensed water by a system; 3, judging that whether the fault of the sodium index of the condensed water exists or not; 4, determining that whether the relevant index of sodium of the condensed water is abnormal or not and determining the abnormal level; and 5, analyzing equipment and reasons causing the abnormal sodium of a condenser. The diagnosis method provided by the invention achieves the function of fault decision making by operators, can be used for coordinating for multiple departments in the nuclear power plant to cooperatively deal with problems, can be used for guaranteeing the accurate positioning of fault position, fault reasons, treatment measures and department responsibilities, effectively reducing the nuclear power running risk, reducing the running cost, and improving the fault diagnosis accuracy and the running stability of the nuclear power plant.

The invention provides a data processing method for forecasting heavy precipitation weather. The data processing method for forecasting the heavy precipitation weather comprises the steps that firstly, thermodynamic factors, dynamic factors and a moisture index influencing occurrence of heavy precipitation are collected; secondly, according to the precipitation occurrence and development nonlinear theory, the thermodynamic factors, the dynamic factors and the moisture index are integrated, so that the physical quantity index THP is obtained; finally, according to the synoptic situations at 500hPa and at 700hPa of upper air, whether a good lifting mechanism exists or not is judged, and then the belt of the heavy precipitation and the magnitude of the heavy precipitation can be forecasted, wherein the area with a large value of the index THP is the large-probability area of precipitation in next six hours, the maximum value of the THP corresponds to the maximum amount of precipitation in next six hours, when the value of the THP is increased along with time, the amount of precipitation is increased, and otherwise the amount of precipitation is reduced. By the adoption of the data processing method for forecasting heavy precipitation weather, the belt of heavy precipitation and the development and change of precipitation can be more objectively forecasted, the magnitude of precipitation can be estimated quantitatively, and automatic operation can be achieved through a computer.

The invention discloses a human body health nutrition management method and system based on liquid detection so as to solve the technical problems that an existing health management device and system can not realize the regulation of the diet behavior of a user and can not improve the health state of the user. The method comprises the following steps that: pre-storing the body information of the user, and generating a reference water intake, a reference energy intake and a reference nutrition intake according to the body information; collecting and recording beverage information and food information taken by the user, and detecting the urine parameter of the user at a certain time period; according to the beverage information and the food information, analyzing to obtain the practical water intake, the practical energy intake and the practical nutrition intake of the user; comparing the reference water intake with the practical water intake to obtain a moisture index, comparing the reference energy intake with the practical energy intake to obtain an energy index, and comparing the reference nutrient intake with the practical nutrition intake to obtain a drinking balance index and a nutrition index; and according to the urine parameter, obtaining a correction index.

The invention discloses an automatic correction method for water adding quantity of humidifying equipment. The automatic correction method comprises: firstly, measuring an inlet material flow measured value and an inlet material moisture measured value of the humidifying equipment respectively, and setting an outlet material moisture setting value of the humidifying equipment; then calculating theoretical water adding quantity of the humidifying equipment, and measuring an outlet material moisture measured value of the humidifying equipment by utilizing a moisture meter; taking the outlet material moisture setting value and the outlet material moisture measured value as forward feed input variables and taking a measured value of the water adding quantity of the humidifying equipment and the outlet material moisture measured value as disturbance quantities; forming two grades of PID (Proportion Integration Differentiation) control systems through outlet moisture feedback adjusting PID and a water adding valve PID to realize a double-pole serial connection PID control system, thereby controlling actual water adding quantity of the humidifying equipment. The deviation generated by an outlet moisture index of the humidifying equipment, at an initial phase of the equipment and caused by changes of the external environment, can be eliminated; the control level of calculation amount of the humidifying equipment is effectively improved and the working efficiency of the equipment is improved.

The invention relates to the field of tobacco research, in particular to a monitoring method of the tobacco leaf equivalent water thickness based on hyperspectral remote sensing. The inventor conductswater stress tests with different degrees on tobacco leaves for two consecutive years, spectral reflectance of the tobacco leaves with different genotypes under different stress treatments is collected by an ASD spectrograph, the equivalent water thickness of the tobacco leaves is measured synchronously, a ratio moisture index SR and a normalized moisture index ND of pairwise combinations of allwave bands within 350-2500 nm are constructed, correlation between the LEWT of tobacco and spectral characteristic parameters is analyzed, and a spectral characteristic parameter model is constructed.A limit learning machine model is constructed by using the filtered tobacco LEWT spectral index, and P-R<2>=0.853**, T-R<2>=0.855**, RMSE=0.004, the accuracy and robustness of the model are perform well, the monitoring method can be used for predicting the LEWT of the tobacco, and guidance is provided for tobacco field accurate irrigation.

The invention belongs to the technical field of multi-spectral remote sensing analysis, and specifically discloses an ETM remote sensing image sandstone uranium recharge-excretion-runoff area identification method: MNF transformation is performed on the original multi-spectral image to obtain image MNF[n]; image MNF is selected [ The second band of n] performs texture analysis to obtain the texture feature image MNF2_Texture; the image MNF2_Texture is density-divided to identify the replenishment area B; the image ETM_cut[n] is calculated by the cap transformation to obtain the humidity indeximage and the vegetation index image, respectively recorded as ETM_Wetness and ETM_Greenness; respectively calculate the high value area of the moisture index image ETM_Wetness high value area and thevegetation index image ETM_Greenness, and perform the union operation, and use the high value area to determine the discharge area P range; according to the above-defined circled supply area B and The discharge area P ranges and the runoff area J is circled. The method solves the problem of image segmentation in runoff area and recharge area, and combines vegetation index analysis to realize quantitative identification of basin recharge area, runoff area and discharge area.

The invention discloses an irrigation farmland identification method based on a remote sensing vegetation canopy moisture index, and particularly relates to an irrigation identification method based on a regression relationship between a remote sensing vegetation canopy moisture index difference value of a farmland and a nearby forest and average annual precipitation. Due to the effect of rainfall, the irrigation threshold value of each area is reduced along with the increase of the average annual precipitation. Therefore, the determination of the irrigation threshold value can realize slidingvaluing in space, i.e., the smaller the irrigation threshold value is in the place with the larger average annual precipitation, the larger the irrigation threshold value is in the place with the smaller average annual precipitation. By designing a linear regression equation and fully utilizing the linear regression relationship between the difference value of the moisture indexes of the irrigated farmland pixel and the nearby forest pixel and the average annual precipitation, the change of the irrigation threshold in space can be realized, so that the identification of the irrigated farmlandis realized. The method has the characteristics of no dependence on priori knowledge, good robustness, high classification precision, strong recognition capability and the like.

The invention provides a method for producing additive premix feed by using tryptophan fermentation waste. The method comprises the following steps of: stirring, mixing and concentrating the fermentation waste containing 0.5 to 1 percent of tryptophan and corn steep liquor in a ratio of 1: (0.5-5) to form a mixture containing 10 to 50 percent of solid, uniformly spraying the mixture to the pre-crushed corn grit with grain diameter of 1 to 3 millimeters, stirring and mixing the pulp by using a screw conveyor while spraying, conveying the pulp to an airflow drying system, and instantaneously drying the pulp. The moisture index of the finished product is 5 to 10 percent, and the tryptophan content is 5 to 10 percent. The tryptophan fermentation waste is combined with rich bacterial protein and plant protein in the corn steep liquor and compounded with rich plant fibers in the corn grit, and the nutrient components are mutually complemented, so that the absorption utilization rate of the premix feed is greatly improved.

The invention relates to a coal preparation process, in particular to a floatation-cleaned-coal dehydration process and simultaneously relates to a set of equipment combination for realizing same. The dehydration process is characterized by comprising the following steps of: leading floatation cleaned coal to automatically flow into a settling and filtering centrifuge for dehydration or pumping the floatation cleaned coal into the settling and filtering centrifuge by using a pump for dehydration, wherein the dehydrated floatation cleaned coal is directly used as a final product; and leading centrifugate and filtrate of the settling and filtering centrifuge to return to the step of floatation feeding, namely participating in floatation operation again. The equipment combination is characterized by being provided with no filter press and no secondary floatation machine, and the settling and filtering centrifuge is used as only equipment for dehydrating the floatation cleaned cola. The process and the equipment combination, provided by the invention, are favorable for greatly saving construction cost and reducing maintaining expenses and product cost, not only can ensure that the moisture index of a floatation cleaned-coal product is qualified, but also can simultaneously ensure the uniformity of quality indexes, such as ash content and the like, of the floatation cleaned-coal product.

The invention discloses a regional rubber forest remote sensing identification method, which comprises the following steps: screening interest points and interest regions of a rubber forest and otherland types, and generating a rubber forest sample point graph library; constructing a change curve of the rubber forest and other land types, judging the difference between the rubber forest and otherland types according to the NDVI dynamic curve, and determining the phenological period of the rubber forest; introducing Landsat corresponding wave bands and vegetation-moisture index products in combination with the acquired day-by-day rainfall and air temperature data of the meteorological stations and based on occurrence time window information of leaf falling and new leaf germination phenomena of the rubber forest, and comparing phenological differences of the rubber forest; and according to pairwise combination of a plurality of vegetation-moisture indexes such as Landsat-NBR and Landsat-NDMI, performing normalization processing on the vegetation-moisture indexes combined in the defoliation stage and the foliation stage of the rubber forest, and extracting the rubber forest in combination with a normalization result and a vegetation layer mask. The invention has the advantages that the regional phenological difference is fully considered, the texture features are considered, therubber forest distribution information can be comprehensively extracted, and powerful support is provided for regional rubber forest monitoring.

The invention belongs to the field of biotechnology. A method for estimating chlorophyll a/b ratio of vegetable soybean leaves is disclosed, including obtaining 14 parameter values of the blade to bedetected: the actual photosynthetic efficiency Y (II) value X1, non-photochemical quenching coefficient NPQ value X2, the quantum yield Y (NO) value X3 of non-regulatory energy dissipation, quantum yield Y (NPQ) value X4 of the regulatory energy dissipation, maximum fluorescence Fm value X5 of dark-adapted samples, maximum photosynthetic efficiency Fv/Fm value X6 of PS II, Anthocyanin reflex indexARI1 value X7, Anthocyanin reflex index ARI2 value X8, Carotenoid reflectance index CRI1 value X9, carotenoid reflectance index CRI2 value X10, structure-insensitive pigment index SIPI value X11, vegetation senescence reflectance index PSRI value X12, photochemical vegetation index PRI value X13 and moisture index WBI value X14; substituting 14 parameter values into an estimation model of chlorophyll a/b to obtain a ratio D of chlorophyll a to chlorophyll b content. The method provided by the invention can efficiently and accurately realize the estimation of the chlorophyll a/b ratio.

The present invention discloses a method for removing a high biomass sugar cane in a PALSAR forest classification result, relating to the technical field of remote sensing image processing. The method comprises the steps of (1) extracting forest information in PALSAR radar images by using a decision tree classification or supervision classification method, (2) selecting multiple optical remote sensing images which are close to a PALSAR radar image acquisition time and are not in a forest leaf-fall season, completing pretreatment, and calculating a moisture index LSWI, (3) carrying out minimum value integration on multiple LSWI images, and obtaining an LSWI product without cloud in a research area, (4) carrying out resampling on a PALSAR forest classification result or the LSWI product, realizing the unification of spatial resolution, (5) carrying out band operation on the resampled PALSAR forest result, and filtering the forest image element whose LSWI value is lower than zero. The forest classification accuracy is improved.

The invention relates to the field of drug detection, in particular to an establishment method for a near-infrared quantitative correction model of Jingyaokang Capsules and a detection method for Jingyaokang Capsules. The invention utilizes AOTF-NIR technology to establish NIR models of strychnine, hydroxysafflor yellow A, and moisture index of Jingyaokang Capsule finished products, which can simultaneously and quickly predict contents of multiple indexes in the finished products without cumbersome sample processing, and prediction results are accurate. The methods not only shorten a detectionperiod, reduce the use of consumables, and reduce detection costs, but also enable on-site analysis. And therefore, a fast and efficient detection method for the quality control of Jinguankang Capsules is provided. Compared with the traditional pharmacopoeia method, the methods greatly improve the analysis efficiency on the basis of ensuring the accuracy, and can quickly and efficiently control the product quality, thereby ensuring the safety, stability and effectiveness of the product quality.

The invention relates to the field of near-infrared detection, in particular to an establishment method for a near-infrared quantitative correction model of Zhenqi Fuzheng Preparations and a detectionmethod for Zhenqi Fuzheng Preparations. The invention establishes NIR models of salidroside, calycosin-7-glucoside, Specnuezhenide, astragaloside A, and moisture index of Zhenqi Fuzheng Preparation finished products, which can simultaneously and quickly predict contents of multiple indexes of the Zhenqi Fuzheng Preparations without cumbersome sample processing, and prediction results are accurate, thereby satisfying detection requirements for Zhenqi Fuzheng Granule samples in the production. The method established in the invention not only shortens a detection period, reduces the use of consumables, and reduce detection costs of the Zhenqi Fuzheng Granules, but also enable on-site analysis. In the follow-up, the sample number will be further increased, the coverage of the samples will beexpanded, and a more stable model can be established to provide a fast and efficient detection method for the quality control of Zhenqi Fuzheng Granules.

The invention discloses a method for simulating a terrain humidity index based on a vector network. First a DEM is used to generate a vector network of regular triangular planes, and then a triangulation network TFN algorithm is used to obtain the water accumulation amount from the vector network; a novel algorithm is used to obtain the slope direction and slope from the vector network, and finally the unit catchment area SCA obtained by calculating the water accumulation amount and the slope direction is combined with the slope to simulate the terrain humidity index. Not only is the novel slope direction and slope calculation method provided, but also the method is combined with a TFN algorithm to obtain the novel terrain moisture index simulation method, which improves the simulation accuracy of the terrain humidity index, ensures the reasonable distribution of soil moisture, and meets the accuracy requirements in practical applications.

The invention belongs to the field of daily chemicals, and particularly relates to bath wash. A substance which can moisten the skin is extracted from fish scales, and contains a hydrophilic natural moisturizing factor, the structure of the substance is a tri-spiral structure which can tightly lock moisture, so that the skin can be kept wet and tender; a chitosan solution is added, and chitosan has film forming performance and antibacterial performance, so that a protection and antibacterial effect can be realized on the surface of the skin; and the chitosan is mixed with proteins in the moisturizing substance to enable the interaction of different molecules, air holes in the surface skin are promoted to be narrowed, the air exchange is controlled, and the evaporation of water is reduced,so that the skin moisture index is further increased, and the glossiness of the skin surface is improved. In addition, glycerinum as a preservative is added into a protection agent, so that the shelflife of the bath wash is prolonged.

The invention belongs to the technical field of agricultural engineering and crop water content, and particularly relates to an STM32-based crop liquid flow monitoring instrument which comprises a single chip microcomputer, a light source connected with the single chip microcomputer, a detector, a display, a keyboard and a sample chamber connected with the light source and the detector respectively. The light source, the detector, the displayer and the keyboard are connected with the single chip microcomputer, and the sample chamber is connected with the light source and the detector. The keyboard is used for controlling the single-chip microcomputer to measure, store and display collected signals. The single chip microcomputer is used for calculating the reflectivity of the leaf at the wavelength of 970nm and 1450nm according to the collected signals, calculating the moisture index of the leaf according to the reflectivity of the leaf at the wavelength of 970nm and 1450nm and calculating the water content of the leaf according to the moisture index of the leaf, the structure is reasonable, in the using process, it can be guaranteed that the plant leaf is not damaged, the detection precision is high, detection is rapid, and the detection efficiency is high. And carrying is convenient.

The invention relates to wheat germ plant oil and a preparation method thereof. The wheat germ plant oil is prepared from the following ingredients in parts by weight: 30 to 40 parts of wheat germ flour, 1 to 2 parts of Chinese yam flour, 60 to 70 parts of wheat flour, 6 to 8 parts of starch, 15 to 20 parts of dietary fiber, 10 to 15 parts of black fragrant rice powder, 5 to 10 parts of black wheat bran, 10 to 20 parts of cottonseed oil, 8 to 12 parts of triethanolamine and 10 to 12 parts of triethanolamine oleate. The wheat germ plant oil provided by the invention has the advantages that the prepared plant oil has high quality; the preparation process is simple; the operation is convenient; water contained in a produced finished product completely conforms to the moisture index specified in the national standard; the product quality of the wheat germ plant oil is ensured.