15results about How to "Method science" patented technology

The invention discloses a distributed photovoltaic meteorological resource real-time monitoring station group site selection method and system, and the method comprises the steps: 1, obtaining photovoltaic historical resource data of a target region, and constructing a historical data set; 2, based on the historical data set, analyzing space-time distribution characteristics of distributed photovoltaic radiation resources in a target area, and dividing clusters with consistent radiation resource changes; 3, respectively selecting an optimal center point of each cluster; and step 4, performing micro-region site selection based on each cluster center point to determine an optimal site establishment position. According to the method, the existing distributed layout condition is considered, the future distributed development planning is also considered, and the method has the characteristics of full coverage of regional monitoring information, high representativeness of monitoring stations, scientific and reasonable site selection and excellent economical efficiency of a monitoring layout scheme.

The invention relates to the technical field of territorial space planning, in particular to a territorial space use conflict coordination method and system based on multi-objective optimization, and the method comprises the following steps: determining a land resource use type in a to-be-processed region; constructing a plurality of territorial space purpose conflict coordination schemes; selecting a scheme with the highest adaptive value as a first territorial space use conflict coordination scheme; calculating an adaptive value of a functional component of each land resource use type in the first territorial space use conflict coordination scheme; according to the adaptive value of the functional component of each land resource use type, determining the functional component with the lowest functional component adaptive value in the first territorial space use conflict coordination scheme as a to-be-selected functional component; and removing all land resource use types of the to-be-selected functional components from the first territorial space use conflict coordination scheme to obtain a second territorial space use conflict coordination scheme, and taking the second territorial space use conflict coordination scheme as an optimal territorial space use conflict coordination scheme.

The invention discloses a carbon dioxide water rock interaction inorganic precipitate quantitative characterization method, which comprises the following steps: acquiring basic physical property parameters of a target oil reservoir, quantifying the total carbon dioxide storage amount from a macroscopic angle, and establishing an indoor carbon dioxide water rock reaction experiment model to obtain basic physical property parameters of a core sample and formation water. The carbon dioxide mineralization burying amount is quantified from the microscopic perspective, meanwhile, the mineral saturation index is introduced to further determine the action mechanism and reaction rule of precipitation and dissolution and the reaction state of rock minerals in the carbon dioxide water rock reaction, and the reaction conditions and products of the carbon dioxide water solution and the minerals are determined. According to the quantitative characterization evaluation method, data are easy to obtain, the method practicability is high, the calculation model is novel, the problems that existing carbon dioxide water rock interaction inorganic precipitation is difficult to quantify, methods are not uniform, and connection with the macroscale is difficult to establish are solved, the pertinence is high, the evaluation method is scientific, and the method has important significance on development of oil and gas fields in China.

The application provides a missile engine storage availability evaluation method, namely a missile engine storage availability evaluation method based on a two-stage sampling scheme and historical sampling data, and the implementation steps are as follows: 1, parameter estimation according to historical sampling data; 2, calculation of the two-stage sampling probability of the missile engine; 3, iterative calculation of the instantaneous availability evaluation value of the engine; 4, calculation of the average availability evaluation value of the engine; the application realizes the evaluation of the storage reliability and storage availability of the missile engine without additional experiments, the evaluation value is derived from actual data, has authenticity, accuracy and stability, the iterative method is simple, the requirement for historical data is low, the operability is strong, and not only the average availability of the missile engine can be evaluated, but also the instantaneous availability of the missile engine can be evaluated.

This invention provides a road network-level pavement technical condition detection path planning method, comprising: determining the current mileage marker coordinates corresponding to the road network to be detected based on the number of detection vehicles; determining all detection road segments corresponding to the current mileage marker coordinates based on the current mileage marker coordinates; determining recommended detection road segments from all detection road segments; traversing all remaining mileage marker coordinates, and determining the planned path corresponding to the road network to be detected based on the recommended detection road segments. The road network-level pavement technical condition detection path planning method provided by this invention divides the road network to be detected into several detection road segments with mileage marker coordinates as nodes, and uses these detection road segments as basic traversal units to traverse all detection road segments, ultimately determining the final planned path. This method avoids the drawback of detection vehicles traversing numerous backtracks, reducing detection time and labor costs; furthermore, this method is more scientific and efficient.

The invention discloses a method for quantitatively judging typical wetland plants, belongs to the technical field of wetland science, and relates to a method for judging typical wetland plants. The invention aims to solve the problem that a complete typical wetland plant species catalog is difficult to form due to the absence of a method for judging typical wetland plants at present. The method comprises the six steps of target establishment, sample collection, seed treatment, seed sowing, water management and type judgment. And judging whether the target plant is a typical wetland plant or not by comparing the emergence rate and the seedling growth height of the seeds under the waterflooding and moist conditions. The determination method can objectively reflect the actual condition that the plant adapts to moisture, can treat multiple species at the same time, has low requirements on equipment, is simple to operate, is scientific, and is suitable for large-scale application.

The invention provides a high-dimensional temperature prediction method for an aircraft in a wide-area high-altitude task environment. The method comprises the following steps: step 1, carrying out temperature-time first-time prediction based on regression analysis; step 2, temperature-time secondary prediction based on nonlinear fitting and error random representation; 3, temperature-height prediction based on an empirical formula and dynamic interpolation; 4, temperature-longitude and latitude prediction based on dynamic interpolation; and 5, carrying out fusion prediction on the high-dimensional temperature. According to the method, mathematical statistical methods and empirical formulas such as regression analysis, nonlinear fitting and linear (nonlinear) interpolation are comprehensively utilized, a prediction model of four-dimensional variables including time, height, longitude and latitude of temperature factors is constructed, the purpose of outputting a reasonable long-term temperature prediction value when any four-dimensional coordinate in the aircraft task process is given is achieved, and the method is suitable for being applied to the aircraft. Therefore, guidance is provided for the task process.

The invention provides a coffee deep processing process parameter optimization method, medium and system, and belongs to the technical field of coffee deep processing, and the method comprises the following steps: firstly, collecting historical coffee processing data, including process parameters of each process and corresponding finished product quality indexes; secondly, analyzing the correlation degree between each process parameter and the quality index by adopting a Bayesian network and a mutual information algorithm, and establishing a preliminary parameter-quality prediction model; and based on the prediction model, generating a group of candidate process parameter schemes by using a data augmentation and optimal transmission theory. Next, small-batch experiments are carried out on the parameter schemes, and corresponding actual quality index data are obtained; and finally, according to experimental data, selecting an optimal process parameter as a target parameter to be output. According to the method, machine learning, an optimization algorithm, small-batch experimental verification and other technical means are fused, and the technical problem that balance optimization of multiple quality factors is difficult to consider in existing coffee deep processing technology optimization is solved.

The invention belongs to the technical field of electrical engineering and automatic control, and provides a device and method for improving leakage current resistance and interference resistance, and the device comprises a first instrument amplification module, a second instrument amplification module, a third instrument amplification module, a quiescent current adjustment module, and a microprocessor module. Acquiring quiescent current data and dynamic current data of the circuit; analyzing and processing to obtain a static characteristic value and a dynamic characteristic value; based on the obtained static characteristic value and the dynamic characteristic value, analyzing and processing to obtain a feedback signal value; comparing the feedback signal value with a feedback signal threshold value, analyzing and dividing into different areas; the feedback signal value is analyzed, processed and converted into a feedback signal of the electronic delay module, and networking is completed when the electronic delay module confirms that connection is correct through analysis and processing; the leakage current resistance and the interference resistance are effectively improved, data processing of mixed signals is optimized and analyzed, and potential problems in a circuit are specifically analyzed, so that the reliability and the safety of equipment are improved.

The invention discloses a manufacturing method of a female national garment Tibetan gown, and relates to the field of national garment manufacturing, comprising a waistcoat and an outer gown, drawing a drawing on the waistcoat and the outer gown, cutting the waistcoat and the outer gown according to the drawing after the drawing is completed, and sewing the waistcoat and the outer gown after the cutting is completed. After sewing is completed, the waistcoat and the outer gown are combined and sewn, and then manufacturing of the female national garment Tibetan gown is completed. The manufacturing method is used for manufacturing the female national garment Tibetan robe, the phenomenon that calculation formulas of the Tibetan robe are messy is effectively solved, meanwhile, the waistcoat and outer robe combined method is adopted, operation steps are simplified, the pattern making and manufacturing efficiency is improved, the technical requirement for employees is not high, and the method is easy to learn and understand.

The invention relates to a cross infection image early warning system based on deep learning semantic segmentation, image classification and trajectory recognition, and belongs to the technical field of medical cross infection recognition. According to the scheme, monitoring videos in hospital departments are analyzed by using a deep learning semantic segmentation technology, image information of medical staff and patients is extracted, and the image information is classified and identified. The contact behavior between the medical staff and the patient is identified through the deep learning image classification technology, and the moving tracks of the medical staff and the patient in the hospital department are tracked and recorded in real time in combination with the track identification technology, so that the contact condition and the cross infection risk of the medical staff and the patient are analyzed more comprehensively. Compared with the prior art, only existing video information is collected, the cost is low, an existing system is slightly modified, and only a video stream forwarding function is added; patient contact behaviors and medical personnel action tracks can be accurately identified, and cross infection behaviors can be accurately identified; embedded deployment and batch processing technologies are adopted, and second-level response is achieved.

The invention discloses a passive land edge basin marine facies effective hydrocarbon source rock distribution prediction method and device, and relates to the technical field of oil and gas geology, and the method comprises the steps: dividing the main development tectonic evolution stages of passive land edge basin hydrocarbon source rocks based on the tectonic background of a passive land edge basin; based on existing earthquake and drilling data, analyzing seismic facies characteristics corresponding to sedimentary facies in each tectonic evolution stage, and judging a favorable seismic facies distribution range of passive trailing basin hydrocarbon source rocks; on the basis of a passive land edge basin earth heat flow background and a basin thermal evolution history, hydrocarbon source rock maturation history simulation is carried out, basin hydrocarbon source rock hydrocarbon generation evolution characteristics are analyzed, and passive land edge basin hydrocarbon source kitchen distribution is predicted; based on a marine facies hydrocarbon source rock development mode and control factors, seismic facies identification and distribution laws and marine facies hydrocarbon source kitchen distribution laws are facilitated, and distribution of passive trailing edge basin marine facies effective hydrocarbon source rocks is predicted. According to the prediction method, the problems of high cost and high difficulty of the existing passive land edge basin marine facies effective hydrocarbon source rock prediction are solved.

The invention discloses a self-adaptive adjustment high-precision body feature measurement system, which comprises a depth camera and a computer, and is characterized in that the computer executes algorithm operation according to an image obtained by the depth camera to obtain body feature data, and the self-adaptive adjustment high-precision body feature measurement system comprises a mobile device, the depth camera is mounted on the mobile device and can image a measured object; and outputting the distance from the camera to the measured object. The testee opens the hand within the visual field range of the depth camera according to the guidance, and the initial palm length h1 is obtained through shooting and operation. The mobile device adjusts the shooting height and the distance between the mobile device and the shot object, so that the shot object measures the palm length value h2 again at a new position within the 80% vision field range of the depth camera, and the measurement is repeated until the change of two adjacent measurement results is smaller than A. Through the method, the depth camera can be operated, and the palm length of a person can be accurately measured in combination with a visual program. The method is simple to operate, scientific, wide in application range, low in system cost and worthy of popularization and application.

The gas-liquid fertilizer mixing system and mixing method belong to the technical field of agricultural equipment, and are composed of a water storage device, a liquid fertilizer generating device, a gas-fertilizer separation device, an electrolysis device and a gas-liquid mixing device. The corresponding salt solution and acid are put into the liquid fertilizer bin to generate ions and carbon dioxide. The water tank is communicated with the liquid fertilizer bin through a medicine mixing pipeline and a medicine outlet pipeline. The water tank is opened and closed according to ion concentration detection, and the liquid fertilizer is mixed to increase the solvent content and adjust the ion concentration. The electrolysis device generates hydrogen and ions. The ions are dissolved in the fertilizer bin solution, and hydrogen and carbon dioxide float into the gas fertilizer bin. The carbon dioxide acts on the plant leaves through a separate pipeline, and the hydrogen and oxygen gas are mixed with the liquid fertilizer in the medicine mixing pipeline through another pipeline to form gas-liquid fertilizer drip irrigation for the plant roots. The application can meet the needs of plants for different elements or ions and realize precise fertilization.

The present invention discloses an electronic throttle fatigue test device, which specifically relates to the technical field of electronic throttle testing, including a test machine, a monitor is installed on the top of the test machine, a throttle mounting mechanism is installed on one side of the test machine, and a plurality of electronic throttle bodies are detachably fixedly mounted on the throttle mounting mechanism. The present invention uses an eccentric wheel group to test a plurality of electronic throttle bodies. In addition to applying a downward pressure action on the electronic throttle body by the outer circle of the eccentric wheel group, a sliding action is also superimposed synchronously. The advantage is that the force is varied and there is a certain lateral force component, and the test effect will be more sufficient. The adjustment unit can actively adapt to the electronic throttle body with different downward pressure without replacing the eccentric wheel group to complete the test. When the eccentric wheel group completes the eccentric distance adjustment, the counterweight can follow the offset of the eccentric wheel group to complete the follow-up adjustment, so that the eccentric wheel group obtains a balanced state, ensuring the stability of the test work.