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43results about How to "Simplify the formulation process" patented technology

Precolumn derivatization-UPLC(ultra performance liquid chromatography)-ESI(electronic spray ion)+-MS/MS (mass spectrometry) detection method of glyphosate and glufosinate-ammonium pesticide residue in tea

The invention discloses a precolumn derivatization-UPLC(ultra performance liquid chromatography)-ESI(electronic spray ion)+-MS / MS (mass spectrometry) detection method of glyphosate and glufosinate-ammonium pesticide residue in tea, sodium borate is used as a buffer salt, a relatively pure target derived product can be obtained by derivatization of glyphosate and glufosinate-ammonium and FMOC-Cl and then ultra performance liquid chromatography (UPLC) washing out and separation, and response signals can be detected by tandem mass spectrometry (MS-MS). According to the method, competition between the two pesticide residue derivatization can be eliminated, the detection effect caused by matrix effect can be effectively weakened, and the derivatization time is shortened. By experimental verification, the detection method of glyphosate and glufosinate-ammonium pesticide (herbicide) residue in tea has the characteristics of being efficient, fast and accurate, good in sensitivity and the like, is applicable in detection of the glyphosate and glufosinate-ammonium pesticide residue in tea samples of sundried green crude tea, fermented tea and substitutional tea (green food substitutional tea of agricultural industry standards of NY / T2140-2012 of the people's Republic of China) and finished tea (brick tea, Tuo tea, melon-shaped tea, cake tea, scattered tea and bagged tea and the like).
Owner:MENGHAI TEA IND

Austenitic stainless steel accurate steel strip performance prediction model and its cold rolling process planning

The invention relates to a performance predicting model of an austenite stainless steel precise belt and a precision cold rolling process design thereof, which are characterized in that the stainless steel cold rolling board performance prediction model which is constructed through artificial neural network technology (such as Plexi neural network development environmental software) mainly comprises a data storing memory base, a computer artificial intelligent network, a final deformation degree predication module and a final deformation degree prediction value judging module. The model can implement the calculation of multivariate function according to all factors influencing the chemical properties of products, including chemical components, and the like, and implement the correction training on the performance prediction module according to collected production data to give the most appropriate final deformation degree. With the final deformation degree prediction value given by the prediction model applied, the precision cold rolling process design of the austenite stainless steel precise belt can be implemented conveniently with high efficiency and good effect. High quality austenite stainless steel precise belt finished products can be produced, the mechanical performance error of which is less than Vickers hardness of positive/negative eight units.
Owner:SHANGHAI STAL PRECISION STAINLESS STEEL

Active power distribution network distributed power supply partition in-situ voltage control strategy setting method

An active power distribution network distributed power supply partition in-situ voltage control strategy setting method comprises the steps of: determining a system structure and parameters accordingto a selected active power distribution network; calculating an electrical distance matrix formed by electrical distances between nodes of an active power distribution network; obtaining the optimal partition numbers of the active power distribution network through determination of the size of the feature value of the electrical distance matrix; employing the K-means clustering algorithm to perform clustering partition for the electrical distance matrix to obtain a power distribution network partition result; according to the active power distribution network structure and the parameters, based on the partition result, establishing an active power distribution network distributed power supply partition in-situ voltage control strategy setting model; covering the active power distribution network distributed power supply partition in-situ voltage control strategy setting model to a second-order cone model; employing a mathematical solver for solving the second-order cone programming toperform calculation and solution of the second-order cone model of the active power distribution network distributed power supply partition in-situ voltage control strategy; and outputting a solutionresult. The formulation and the optimization of the distributed power supply in-situ voltage control strategy are simplified.
Owner:TIANJIN UNIV

Graded management method for equipment of nuclear power plant

InactiveCN108268981ASimplify formulation and applicationImprove efficiencyResourcesMaintenance strategyManagement efficiency
The invention provides a graded management method for equipment of a nuclear power plant, and relates to a graded management for equipment. The graded management method comprises the following steps of performing key degree grading on the equipment, thereby dividing to key equipment, important equipment and common equipment; performing equipment working environment grading for dividing to harsh and good; performing equipment working efficiency grading for dividing to high and low; performing equipment maintenance window determining for dividing to an online mode and an offline mode; and makinga maintenance plan. According to the graded management method, through performing key degree grading, environment grading, frequency dividing and equipment maintenance window determining on the equipment of the nuclear power plant, an equipment grading result can be quickly applied in equipment graded management, thereby greatly simplifying making and application of a maintenance strategy, and greatly improving equipment management efficiency. Through performing grading management on the equipment, the graded management method realizes advantages of ensuring sufficient importance of the key equipment, realizing reasonable and scientific resource distribution, standardizing equipment management operation, and saving a large amount of manpower and material resources.
Owner:CNNC NUCLEAR POWER OPERATION MANAGEMENT

Establishment method for high aluminum bronze coating property forecasting model and optimization method for single property indicator of high aluminum bronze coating

The present invention discloses an establishment method for a high aluminum bronze coating property forecasting model and an optimization method for a single property indicator of a high aluminum bronze coating. The establishment method for the forecasting model comprises: establishing a training sample and a testing sample; constructing a BP neural network model; optimizing a weight and a threshold of the BP neural network by using the training sample and by using a genetic algorithm; and testing, by using the testing sample, the BP neural network model optimized by using the genetic algorithm, to obtain the high aluminum bronze coating property forecasting model. The optimization method is to perform extremum optimization on a single property indicator of a high aluminum bronze coating by using the forecasting model and the genetic algorithm. The high aluminum bronze coating property forecasting model established by the method provided by the present invention is high in forecasting accuracy, and implementing the high aluminum bronze coating property forecasting model greatly improves efficiency in researching a high aluminum bronze coating and making research and development of the high aluminum bronze coating become more directional and forward.
Owner:ACADEMY OF ARMORED FORCES ENG PLA

Electric vehicle automatic charging control method used for private person

The invention discloses an electric vehicle automatic charging control method used for a private person. The method includes the steps that a charging time period range is selected according to charging finishing time node information set by a user, and the time period range is divided into multiple small subsections according to certain time length; according to battery state information, the charging time length is determined and is namely the number of the small subsections needing charging, and the charging probability of each electric vehicle on each small subsection is calculated; a random number within the range (0, 1) is taken at will on each small subsection for each electric vehicle and compared with the corresponding charging probability, so that whether the vehicle is charged on the subsection or not is determined until the whole process of charging all the vehicles is finished. According to the technical scheme, communication among the electric vehicles within the range and communication between the electric vehicles and a superior power grid do not need to be established, the method is not affected by other electric vehicles, and a lot of basic facilities and management resources of the electric vehicles are omitted. The charging cost of the user can be reduced, and meanwhile influences on the power grid by charging loads can be reduced.
Owner:BEIJING JIAOTONG UNIV

Safety and stability control system strategy making method considering cluster power coefficient

The invention belongs to the technical field of power system safety and stability control. The invention discloses a safety and stability control system strategy making method considering a cluster power coefficient. The method comprises the steps that firstly, the generator tripping amount upper limit, the generator tripping threshold, the generator tripping coefficient and the unit power coefficient are calculated respectively, then the obtained relation among the generator tripping amount upper limit, the generator tripping threshold, the generator tripping coefficient and the unit power coefficient is analyzed; multiple sets of strategy constant values are combined in a special mode; and a safe and stable control strategy is simplified. The method is used for realizing minimum accurategenerator tripping when a power system has a serious fault; different generator tripping characteristic differences of different generator groups are considered; the influence of the difference on safety control strategy making is qualitatively and quantitatively analyzed; the problems of large overcut amount and large generator tripping error caused by determining the generator tripping amount by a unit with the worst generator tripping effect in an existing safety control strategy setting method are fundamentally solved; and making of a constant value strategy can be effectively simplifiedthrough a provided special mode combination method.
Owner:INNER MONGOLIA POWER GRP

Austenitic stainless steel accurate steel strip performance prediction model and cold rolling process planning thereof

The invention relates to a performance predicting model of an austenite stainless steel precise belt and a precision cold rolling process design thereof, which are characterized in that the stainless steel cold rolling board performance prediction model which is constructed through artificial neural network technology (such as Plexi neural network development environmental software) mainly comprises a data storing memory base, a computer artificial intelligent network, a final deformation degree predication module and a final deformation degree prediction value judging module. The model can implement the calculation of multivariate function according to all factors influencing the chemical properties of products, including chemical components, and the like, and implement the correction training on the performance prediction module according to collected production data to give the most appropriate final deformation degree. With the final deformation degree prediction value given by the prediction model applied, the precision cold rolling process design of the austenite stainless steel precise belt can be implemented conveniently with high efficiency and good effect. High quality austenite stainless steel precise belt finished products can be produced, the mechanical performance error of which is less than Vickers hardness of positive / negative eight units.
Owner:SHANGHAI STAL PRECISION STAINLESS STEEL

Diabetes diet scheme adaptive generation system based on deep learning

PendingCN114155939AAchieve remissionAccurately grasp calorie consumptionPhysical therapies and activitiesNutrition controlDiabetic dietDieting
The invention discloses a deep learning-based diabetic diet scheme self-adaptive generation system, which comprises a collection and storage module, which is configured to collect and make data of total calorie dynamic change of a patient, and according to basic metabolism, occupational consumption, exercise consumption, diet supplement and a difference value between a waist-hip ratio and a fasting blood-glucose mean value, the data of the total calorie dynamic change of the patient is calculated; constructing a personalized data set for generating a heat supplement plan; the calculation module is used for importing the personalized data set into an improved linear regression model and carrying out data training to obtain an optimal weight corresponding to each piece of data in the data set; and the evaluation and feedback module is used for automatically calculating a diet calorie supplement value by setting a double-gradient target according to the optimal weight and the deviation value of the calculation module, generating a personalized diet scheme and timely feeding back and optimizing the diet scheme. According to the method, the personalized data set of the total calorie change of the patient is constructed, and the deep learning method is introduced into the formulation of the diet scheme of the patient, so that more accurate and scientific diet guidance is provided for the diabetic patient.
Owner:广州医维度科技有限公司

Metallographic sample preparation method of aluminum alloy

The invention discloses a metallographic sample preparation method of aluminum alloy. The Vickers hardness of the aluminum alloy is in a range of 10-200, and the automatic grinding sample preparation process parameters of the aluminum alloy are as follows: the loading load is 5-20 N, the rotating speed of a moving head is 40-60 rpm, the rotating speed of a grinding disc is 150-200 rpm, the grinding time is 1-3 min, 400-mesh, 800-mesh and 2000-mesh waterproof abrasive paper is used in a matched manner, and water is added for step-by-step grinding; the technological parameters of automatic polishing and sample preparation are as follows: the loading load is 15-30N, the rotating speed of a moving head is 40-60rpm, the rotating speed of a grinding disc is 100-150rpm, the polishing time is 3-15min, and polishing liquid and polishing cloth with 9 mu m, 3 mu m and 0.02 mu m abrasive particles are used in a matched manner to perform step-by-step polishing. According to the method provided by the invention, the problems of low sample preparation efficiency, unstable sample preparation quality and high consumption of valuable consumables caused by no matched guide process when various marks of aluminum alloys are subjected to sample preparation by using an automatic grinding and polishing machine are solved, and the aluminum alloy metallographic samples can be prepared with high efficiency and high quality.
Owner:CHINALCO MATERIALS APPL RES INST CO LTD

An on-line enrichment device and method for a polymer injection well

ActiveCN109306858BRealize online thickeningAvoid using aloneFluid removalPolymer floodControl valves
The invention discloses an online thickening device for a polymer injection well, which belongs to the field of tertiary oil recovery. The device includes: distribution pipeline, flow distributor, liquid distribution tank, hopper, injection pipeline, polymer injection pump and first control valve. The inlet of the dispensing pipeline is connected with the polymer injection main line of the injection well, and the outlet is connected with the first inlet of the liquid distribution tank; the hopper is connected with the second inlet of the liquid distribution tank; the outlet of the liquid distribution tank is connected with the inlet of the injection pipeline, and the injection The outlet of the pipeline communicates with the polymer injection main line; the polymer injection pump is arranged on the injection pipeline; the flow distributor and the first control valve are arranged on the injection pipeline. The enrichment device can perform individual adaptive enrichment operations on a single polymer injection well, and can perform on-line enrichment on the premise that the polymer injection well does not stop production, and uses the first polymer flooding solution as the prepared mother liquor , avoiding the separate use of the preparation mother liquor, which not only simplifies the preparation process, but also saves raw materials.
Owner:PETROCHINA CO LTD

Establishment of performance prediction model of high-alumina bronze coating and optimization method of single performance index

The present invention discloses an establishment method for a high aluminum bronze coating property forecasting model and an optimization method for a single property indicator of a high aluminum bronze coating. The establishment method for the forecasting model comprises: establishing a training sample and a testing sample; constructing a BP neural network model; optimizing a weight and a threshold of the BP neural network by using the training sample and by using a genetic algorithm; and testing, by using the testing sample, the BP neural network model optimized by using the genetic algorithm, to obtain the high aluminum bronze coating property forecasting model. The optimization method is to perform extremum optimization on a single property indicator of a high aluminum bronze coating by using the forecasting model and the genetic algorithm. The high aluminum bronze coating property forecasting model established by the method provided by the present invention is high in forecasting accuracy, and implementing the high aluminum bronze coating property forecasting model greatly improves efficiency in researching a high aluminum bronze coating and making research and development of the high aluminum bronze coating become more directional and forward.
Owner:ACADEMY OF ARMORED FORCES ENG PLA
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