17results about How to "Small standard deviation" patented technology

The invention discloses a double-layer energy management method for a long-distance heat supply system comprising a distributed energy storage adjusting unit. The double-layer energy management method comprises the steps that the long-distance heat supply system comprising the distributed energy storage adjusting unit is established; setting an application mode of a distributed energy storage adjusting unit in the long-distance heat supply system; setting an energy storage and discharge mechanism of the distributed energy storage adjusting unit; by taking maximum consumption of new energy, optimal load supply and demand balance and optimal economic benefit as objective functions, establishing an energy storage adjusting unit optimization operation model in the source side thermal power plant, and deciding energy storage and discharge states and energy storage and discharge of the energy storage adjusting unit under different time scales; taking the minimum load curve standard deviation, the optimal heat load supply and demand balance, the lowest heat loss load rate and the maximum delay thermal power plant investment limit as objective functions, and establishing a heat storage device optimization operation model of a heat storage adjusting pool and a heating station on a pressure isolation station side and a heat user side; and energy storage and release states and heat storage and release of the heat storage adjusting water tank and the heat storage device under different time scales are decided.

The present invention relates to a method for evaluating the trueness of recycled particles of used carbon-containing magnesium refractory materials. The trueness P can be quantified as the percentage of the weight of magnesium sand particles in the weight of the entire used carbon-containing magnesium recycled particles. The evaluation criteria are: P <95%, the carbon-containing magnesium regeneration particles after use are unqualified in terms of trueness index, and further deep correction treatment or scrapping is required; if 95%≤ P <97%, the return to truth can be judged as qualified, but the used carbon-containing magnesium regeneration particles should be downgraded or properly re-adjusted; if P ≥97%, the return to trueness index is excellent, and the used carbon-containing magnesium regeneration particles can be used directly. This method quantifies the degree of approximation between the used carbon-containing magnesium regeneration particles and the original particles, and makes an objective evaluation of the volume correction effect based on the calculation results. This method can accurately, efficiently, scientifically and reasonably evaluate the degree of return to trueness and quality level of the used carbon-containing magnesium regeneration particles.

The application provides an aluminum profile pre-aging stability treatment method and belongs to the technical field of aluminum profile production. A data set is established through cross-section thickness scanning, a multi-scale asymptotic expansion homogenization algorithm and thermodynamic path integral Monte Carlo simulation are used to predict a temperature field and precipitate phase evolution, a double-layer game model is used to optimize partition heating power distribution, temperature history synchronous control is realized through dynamic adjustment of a model prediction controller, an artificial intelligence organization uniformity evaluation model and a learning rate dynamic adjustment mechanism are combined to realize online optimization, and finally, process parameters are adjusted through mechanical property detection feedback, so that the technical problem of large differences in precipitate phase organization states caused by uneven temperature distribution in different cross-section thickness regions during the pre-aging process of the aluminum profile is solved.

A negative electrode for an electrochemical device and an electrochemical device including the same are provided. The negative electrode for the electrochemical device comprises: a current collector; and a negative electrode active material layer present on the current collector, wherein the negative electrode active material layer comprises particles containing a silicon-based active material, a linearly conductive material, and a binder for the particles, wherein the dispersion of the particles within the negative electrode active material layer is 1 × 10⁻⁶. ‑2 Up to 10×10 ‑2 The standard deviation of particle dispersion is 1×10⁻⁶. ‑3 Up to 4×10 ‑3 The volume expansion rate of the negative electrode active material layer is 3% to 30%.

The purpose of the present invention is to provide an ion concentration measurement device and measurement method in which a method for selecting an ion-selective electrode that has a small measurement error and is not susceptible to interference by coexisting ions is defined, and the ion concentration can be determined with high accuracy by using the selected ion-selective electrode. The ion concentration measurement device is provided with two or more types of ion-selective electrodes that satisfy formula (1) and formula (2) in which the ratios of selection coefficients for a plurality of types of ions are different from each other, the two or more types of ion-selective electrodes being composed of n types of ion-selective electrodes (n is an integer of 2 or more), where n is the number of types of the plurality of types of ions. In formula (1), Bj represents a j-th ion, and Si represents a symbol of an i-th ion-selective electrode. KSi (B1, Bj) represents an ion selection coefficient for the ion Bj when the ion B1 is used as a reference of the ion-selective electrode Si. In formula (2), A is the absolute value of the matrix formula of the matrix A. And # imgabs0 # A > 0.1 (2).

The present invention relates to the field of geotechnical testing technology, and proposes a combined determination device for moisture content and soil dynamic probing characteristics, including a probing rod having a probe portion; an insulating sleeve arranged on the probing rod, located on a side away from the probe portion; four conductive members, evenly spaced around the insulating sleeve, the main body of the conductive member is located inside the insulating sleeve, and one end thereof is used to contact the soil. Through the above technical scheme, the problems existing in the existing testing technology, such as poor durability of moisture content measuring devices, high test errors, unclear test ranges, long test cycles, and the need to make substantial changes to the original instrument and equipment or the original equipment cannot be reused when using the instrument for testing, resulting in excessively high costs, and cumbersome operations during application are solved.

The invention relates to the technical field of metal processing and manufacturing, and discloses a metal melt surface tension measuring and calculating method. According to the method, the length 2a, the height h and the bottom length 2l of the metal ball are calculated by recognizing the coordinates of the end points of the molten metal ball. Firstly, end point coordinates of a metal ball are obtained through an image recognition technology; then, relevant geometric parameters of the small balls are calculated; and then, calculating the surface tension of the metal melt according to a known physical model by utilizing the geometric parameters. Compared with a traditional surface tension measuring method, the method has the advantages that complex ellipse fitting is not needed, the contact angle does not need to be solved, and therefore the calculation process is simplified. In addition, the method provided by the invention has the advantages of higher identification precision, strong anti-interference capability and shorter calculation steps, and occupies less memory space after programming is realized. The method not only improves the measurement efficiency, but also reduces the requirement on hardware equipment.

The application provides an interval event matching method and system of a content-based publish / subscribe system, through constructing a predicate disjoint set and an optimized partition model thereof, and integrating a learning index of a range query recursive model index in each partition, high-speed, stable and verifiable matching of events to a subscription set under multi-attribute interval predicates is realized; in particular, the traditional memory-intensive matching is reconstructed into a calculation-intensive process mainly based on model reasoning, while correctness and completeness are ensured, average latency is reduced and long tail delay is inhibited, and key modules such as partition and coverage optimization, model training and online reasoning, error boundary control and limited correction, and accurate back matching of residual set subscription are included.

The invention discloses a data analysis system based on integrated remote sensing data acquisition. Comprising a data analysis system, and the data analysis system comprises a remote sensing data acquisition module, a data preprocessing module, a data integration and fusion module, a data feature extraction module, a data time sequence analysis module and a data visualization module. The data analysis system is used for quickly processing the integrated mass remote sensing data by adopting a distributed calculation and parallel and streaming processing mode; according to the method, distributed computing and parallel and streaming processing modes are adopted, a computing task is decomposed into a plurality of parallel tasks, and the computing efficiency is improved; when the remote sensing data is preprocessed, the accuracy of the remote sensing data can be kept, and the calculation efficiency is improved; the multi-source remote sensing image data can form clear image information through fusion processing; and the data time sequence analysis module carries out prediction according to the collected feature information and the previous historical feature information, so that the pasturing duration can be accurately controlled.

The invention relates to the technical field of medicine, food and chemistry, and particularly discloses a double-signal inhibition-internal standard correction-high performance liquid chromatography-quantitative nuclear magnetic resonance digital measurement method which comprises the following steps: separating and collecting an eluent of a target analyte through high performance liquid chromatography by using a non-deuterated solvent as a mobile phase; adding an internal standard into the eluent to form a solution B, and performing quantitative nuclear magnetic resonance analysis and double-signal inhibition on the solution B to obtain nuclear magnetic resonance quantitative peak areas of the target analyte and the internal standard; preparing a solution A by using a to-be-detected sample and an internal standard; respectively carrying out high performance liquid chromatography analysis on the solution A and the solution B to obtain respective high performance liquid chromatography peak areas of the target analyte and the internal standard, and further obtaining the purity value of the sample. Solvent signal interference in the nuclear magnetic resonance spectrum can be effectively eliminated through double-signal suppression, variables in the sample preparation and analysis process can be reduced to the minimum through an internal standard correction strategy, and therefore the time-consuming freeze-drying step in the prior art is omitted.

This invention discloses a method for preparing finasteride tablets, relating to the field of pharmaceutical preparation technology. The method includes: preparing a surfactant into an aqueous solution, adding a first-prescription amount of binder to form a binder suspension; premixing finasteride, a filler, a first-prescription amount of disintegrant, and a second-prescription amount of binder to obtain a premixed material; adding the binder suspension to the premixed material for wet granulation to obtain wet granules; drying and sizing the wet granules, then mixing them with a second-prescription amount of disintegrant and lubricant, and compressing the mixture into tablets. This invention, while ensuring rapid tablet release, achieves the production of tablets with suitable hardness and stable properties at a relatively low compression pressure. Furthermore, this invention utilizes non-organic solvents for granulation, significantly improving the stability, safety, and industrial production efficiency of the final product without the addition of non-standard excipients.

The invention relates to the technical field of image enhancement, and in particular to a method for enhancing the detail fidelity of a low-quality fundus image of a patient with posterior uveitis. The method comprises the following steps: firstly determining a window size represented by a regional distribution under different grayscale features according to fluctuations of a curve corresponding to a grayscale histogram; then determining the high-frequency boundary belonging degree of each pixel point according to the characteristic that boundary information is usually represented as high-frequency information after discrete cosine transformation, thereby screening out high-frequency boundary pixel points; determining the corresponding boundary interference degree according to the characteristic that the frequency information of a lesion boundary is relatively concentrated, thereby screening out the lesion boundary pixel points; then screening out a more accurate real lesion area according to the characteristic that the grayscale distribution of the lesion area is relatively scattered and the frequency information distribution disorder of a lesion boundary area surrounded by the lesion boundary pixel points, so that the image enhancement effect of the enhanced fundus image obtained by performing local image enhancement according to the real lesion area is better.

The application discloses a gradient detection method for uniform corrosion performance of ferritic stainless steel and belongs to the field of stainless steel corrosion performance detection. The method provides a gradient detection method for the problems that the standard method of GB4334.6-2015 cannot measure the uniform corrosion rate of 409, 430 and other ferritic stainless steel and the test time of the prior art is too long. The method comprises sample preparation, preparation of a basic corrosion medium, selection and adjustment of the gradient of the corrosion medium, corrosion test, treatment of the sample after corrosion and calculation of the uniform corrosion rate. By controlling the hydrogen ion concentration [H + ] to be 0.5-2.0 mol / L, the chloride ion concentration [Cl ‑ ] to be 0.5-2.0 mol / L and the molar ratio of [H + ] / [Cl ‑ ] to be 0.3-0.9, the uniform corrosion is ensured; a three-level gradient detection system of 'basic medium-concentration optimization-corrosion inhibitor assistance' is established, and universal detection of ferritic stainless steel with different corrosion resistance is realized. The test time of the method is only 0.5-1 h, which is 6-12 times more efficient than the prior art of 6 h, the technical blank of the uniform corrosion detection of ferritic stainless steel is filled, and the method has good reproducibility and stability.

The invention discloses an electrochemical sensor as well as a preparation method and application thereof, and relates to the technical field of sensors. The electrochemical sensor comprises a working electrode, a reference electrode and a counter electrode, wherein the surface of the working electrode of the electrochemical sensor contains a nano composite material; the nano composite material comprises a nitrogen-doped carbon-coated ferric oxide material and conductive nano particles. The electrochemical sensor disclosed by the invention has high sensitivity and high stability, has strong adsorption capacity on a target object when being applied to the field of detection, is small in relative standard deviation of test results obtained after being placed for different days, is particularly suitable for detection of 2, 4-dichlorophenol, and has the advantages of wide detection linear range, high sensitivity and the like.

The application discloses a hyperspectral laser radar point cloud edge effect detection and filtering method, and relates to the technical field of laser radar remote sensing data processing.The application can robustly identify all points affected by edge effect at all wavelengths by constructing a multi-wavelength edge threshold automatic detection method based on an intensity distribution histogram.Further, by fine edge detection based on neighborhood convolution, points that are misdetected due to low reflectivity on the surface of leaves are effectively removed.Finally, by spherical space filtering, the intensity values of edge points are corrected by using the intensity information of the points inside the leaves around the edge points.The experimental results show that after the method is processed, the standard deviation of the intensity of the edge region of the leaves is reduced by 22.68%, the coefficient of variation is reduced by 28.30%, the coefficient of variation of all wavelengths is less than 1 (the average is 0.7288), and the consistency and quantitative reliability of the spectral data of the edge region are significantly improved.The method has a clear and simple operation process, can be embedded into an existing hyperspectral laser radar data processing process, and has important significance for improving the precision of three-dimensional inversion of vegetation biochemical parameters.

The invention belongs to the field of food safety, and particularly relates to a p-coumarin imprinting fluorescence sensor and a preparation method thereof. The preparation method comprises the following steps: mixing a carbon source with a dimethyl sulfoxide solution, heating and refluxing in a dark place, dialyzing and drying to obtain the carbon quantum dots; the carbon quantum dots are wrapped by a molecular imprinting layer which is composed of ethyl orthosilicate, a silane coupling agent 3-aminopropyltriethoxysilane and p-coumarin; and carrying out specific labeling by taking coumarin as a template, so as to prepare the coumarin imprinting fluorescence sensor. The method can effectively avoid the background interference of the sample in the complex sample detection process, and has the advantages of high stability, high sensitivity and good accuracy.

The invention discloses an inductively coupled plasma emission spectrum detection method for total iron content in silicon sand, which belongs to the technical field of chemical detection analysis, and comprises the following steps: preparing a sample, preparing the sample into powder, sieving, accurately weighing the silicon sand sample in a platinum crucible, adding a mixed flux, melting at high temperature, cooling to room temperature, and taking out the silicon sand sample; putting into a beaker containing pure water, adding nitric acid, heating and leaching at low temperature, cooling, filtering, fixing the volume in a volumetric flask by using pure water, and uniformly mixing for later use; the method comprises the following steps: preparing a group of silica sand solutions containing iron with different concentrations, respectively transferring 0mL, 1.0 mL, 5.0 mL, 10.0 mL, 20.0 mL, 30.0 mL, 40.0 mL and 50.0 mL of iron standard solutions into the group of silica sand solutions, and uniformly mixing with pure water at a constant volume; detecting silica sand solutions containing different concentrations of iron, and drawing a working curve of the Fe content; and detecting the detection sample solution, and calculating the content of Fe in the sample according to the working curve.