31results about How to "Improved conservatism" patented technology

The invention relates to the technical field of molecular biology detection, in particular to a TaqMan-MGB fluorescent quantitative polymerase chain reaction (PCR) detection specific primer (as shown in SEQ ID No. 1 and SEQ ID No. 2), a TaqMan-MGB fluorescent quantitative PCR detection probe as shown in SEQ ID No. 3) and a TaqMan-MGB fluorescent quantitative PCR detection method for seneca valley virus (SVV). The method comprises the steps of drawing a standard curve; extracting ribonucleic acid (RNA) of a sample virus; carrying out reverse transcription on the RNA of the sample virus; enabling the product of the reverse transcription to have a TaqMan-MGB fluorescent quantitative PCR, and reading the result. The primer provided by the invention has better specificity and sensitivity; the MGB probe provided by the invention is shorter and is beneficial to probe design, and the Tm value difference between a paired template and a non-paired template is improved, so that the experimental result is more stable and accurate; the method provided by the invention has the advantages of being simple and rapid, easy to operate, visual in results, high in sensitivity, good in stability, real-time quantitative, and the like, and shortens the reaction time.

The present invention discloses an electric power system transient stability analysis method. The electric power system transient stability analysis method mainly comprises a time domain simulation method and a direct method. A transient energy function method belongs to the direct method. The transient energy function method model is simple, considers the non-linear problem, can avoid complex numerical integration operation, is fast in computing speed and can provide system stability margin indexes, and the restriction of the model precision, critical point selectivity and linearity path hypothesis allows a traditional transient energy function to always have the conservation problem. The improved transient energy function method based on the SMR (Squared Matrix Representation) technology introduces the SMR technology to improve the transient energy function analysis method, a superposition program is employed to obtain the optimal Lyapunov function so as to improve the problem of a traditional transient energy function conservation.

The invention relates to a wind turbine generating unit and thermal power generating unit combination method based on a light robust optimization model. The method comprises the steps of 1) establishing a unit combination model ILR-UC based on an improved light robust optimization model; 2) deducing the MILP corresponding form of the unit combination model ILR-UC, scheduling the output power of a wind turbine generating unit and the output power of a thermal power generating unit, and safely utilizing the short-time overload capacity of equipment through restraining and preventing the continuous overload constraint of the equipment based on the overload degree of the equipment. Compared with the prior art, the understanding conservative property is improved. Meanwhile, the calculation efficiency is high during corresponding solution procedures.

The invention discloses an indirect ELISA (enzyme-linked immuno sorbent assay) kit for detecting a haemophilus parasuis antibody. The kit consists of an ELISA coating plate with haemophilus parasuis cytolethal distending toxin)-C protein serving as a coating antigen, a to-be-detected sample dilution plate, a positive contrast serum, a negative contrast serum, 20-time concentrated washing liquid, a serum sample dilution solution, an enzyme-labeled antibody working solution, a developing solution and a terminating solution. A judgment standard is that if an S / P value is less than 0.200, a sample to be detected is negative; if the S / P value is greater than or equal to 0.200, the to-be-detected sample is positive; the S / P value is obtained according to a formula: S / P value=(the mean value of the to-be-detected sample OD450nm-the mean value of a negative contrast OD450nm) / (the mean value of a positive sample OD450nm-the mean value of the negative contrast OD450nm). Due to the specificity test, the sensitivity test, the repetitiveness test, the coincidence rate test, the test for comparing the kit disclosed by the invention with a kit on sale, the clinical application test and the like, the kit disclosed by the invention has the characteristics of high specificity, high sensitivity, high repetitiveness and the like and is high in coincidence rate to the same type of products on sale home and abroad; the indirect ELISA kit can be used for clinical large-scale detection and epidemiological investigation for the haemophilus parasuis antibodies.

The present invention discloses an alternating current / direct current microgrid economical dispatching method based on multi-interval nondeterminacy and robust optimization. The method comprises the following steps of: the step 10) obtaining nondeterminacy prediction parameters, and distributing a nondeterminacy time period budget number; the step 20) based on the step 10), constructing a multi-interval nondeterminacy set; the step 30) obtaining an operation cost coefficient and an operation limiting value of each device in the microgrid, and based on the step 20), establishing a robust optimization economical dispatching model of an alternating current / direct current microgrid; and the step 40) solving a robust economical dispatching problem: employing a column constraint generating algorithm to perform iteration solution of the optimization problem, and obtaining the robust operation plan of the alternating current / direct current microgrid. The alternating current / direct current microgrid economical dispatching method can improve the economic benefit of microgrid operation and can improve the important reference for formulation of an operation plan of the alternating current / direct current microgrid.

The invention provides a hybrid energy storage system capacity optimization configuration method based on a statistical model and belongs to the technical field of energy storage. The invention provides the configuration method based on the statistical model so as to solve the problem of energy storage capacity configuration of a wind / photovoltaic / energy storage combined power generation system. The method comprises the following steps: to begin with, carrying out probabilistic statistical analysis on historical data of wind speed and illumination intensity and the like to determine accurate distribution of power output of a wind and photovoltaic system; then, exploring a capacity configuration sub-algorithm based on a super capacitor and a storage battery; besides, providing an energy control strategy to improve storage battery operation environment so as to prolong the service life of the storage battery; and carrying out Monte-Carlo simulation on the statistical analysis to obtain capacity probability distribution of the hybrid energy storage system. The statistical analysis method determines the capacity of the hybrid energy storage system under different cumulative probability levels, and helps planning personnel to carry out reasonable configuration on the capacity of the hybrid energy storage system according to running conditions and requirements of the power generation system; and compared with a conventional capacity configuration method, the statistical analysis method takes a lot of uncertainty factors in the configuration process into consideration, thereby improving conservation of a conventional deterministic algorithm and improving economy and reliability of the configuration method.

The invention discloses a distributed power supply active power distribution network optimization scheduling method based on an improved affine algorithm. The method comprises the steps of 1) predicting photovoltaic and wind power output power interval values in the next day based on a grey Markov model; 2) constructing a multi-objective optimization model with minimum operation cost and minimum load fluctuation, and converting multiple objectives into a single objective by adopting a TOPSIS method; 3) establishing an auxiliary model to solve each decision variable and an upper bound value and a lower bound value of an interval solution of an optimal value of an objective function; 4) converting an interval scheduling result obtained by optimization solution and each power interval value into an affine form; 5) proposing an improved affine algorithm to carry out load flow calculation on the power distribution network, and outputting an interval load flow result; and 6) outputting an optimized interval scheduling result, and calculating an evaluation index. According to the invention, the wind and photovoltaic output interval can be accurately predicted, the dispatching calculation efficiency is improved while the power flow interval result conservative property is reduced, and data reference is provided for dispatchers.

The present invention relates to a method of preparing aseptic packaged cooked rice with black bean in an aseptic packing system by washing, dipping and dewatering black rhynchosia nolubilis and then mixing heat treated rhynchosia nolubilis, and in particular to a method of preparing aseptic packaged cooked rice with black been in an aseptic packing system capable of conserving the cooked rice with black been with excellent taste and incense for a long time at a normal temperature by improving conservative property. More specifically, the present invention relates to a method of preparing aseptic packaged cooked rice in an aseptic packing system that can conserve the cooked rice for a long time exceeding at least six months at a normal temperature and is excellent in safety against microorganisms, the method comprising the steps of: sorting uniform-sized black rhynchosia nolubilis through a size sorting operation; washing the black rhynchosia nolubilis so as not to allow their shells to be peeled off; dipping the washed rhynchosia nolubilis into water of 5 to 25° C. and dewatering them; leaving the washed black beans at a cold store of 10° C. or less for one hour; putting the black rhynchosia nolubilis of 15 mm or less in thickness into a packing material and sterilizing them for about 20 to 50 minutes at a temperature of 110 to 130° C.; mixing the sterilized rhynchosia nolubilis with nonglutinous rice at a ratio of 5 to 30% and automatically filling a predetermined amount of the mixture of rhynchosia nolubilis and nonglutinous rice into a heat-resistant plastic container; repeatedly performing high temperature / high pressure sterilization on the mixture of rhynchosia nolubilis and nonglutinous rice four to ten times for 4 to 9 seconds at a temperature of 130 to 150° C. in an sealed space; filling a predetermined amount of water for cooked rice and cooking rice at certain conditions; sealing and packing it in a aseptic space.

The invention discloses a thermal rating method of a delivery wind-power transmission line. On the basis of a relation of a transmission line lead temperature, a service life, and a sag, an optimal decision model of a transmission line thermal rating value is constructed by using a total fan suspending power caused by transmission line thermal rating value limiting within the expected service life of the transmission line as an objective function and using the conductor thermal balance, transmission line tensile strength loss, and security margin restriction as constraints; current carrying values of the transmission line during all periods are calculated; comparison of the current carrying values with an initial thermal rating value is carried out; if the current carrying values are larger than the initial thermal rating value, fan suspending powers in the objective function during the period are calculated and are accumulated; the conductor temperature and the tensile strength loss of the transmission line are updated; and iteration and repetition are carried out continuously until the time objective function of the expected service life of the transmission line becomes zero and then a to-be-decided content is solved. According to the invention, on the basis of the service life of the transmission line and the security margin demand, the conductor tensile strength loss and sag constraints are constructed, thereby effectively eliminating conservatism of the traditional thermal rating method and effectively enhancing the wind-power receiving capability of the power grid.

The invention relates to a multi-epitope fusion antigen for detecting virus serum antibody of porcine reproductive and respiratory syndrome, wherein an amino acid sequence of the multi-epitope fusion antigen is shown in SEQ ID No:1. The invention also relates to a preparation method of the multi-epitope fusion antigen, and a kit for detecting the virus antibody of porcine reproductive and respiratory syndrome. The multi-epitope fusion antigen prepared by the preparation method has the advantages of high purity, good stability, simple preparation process, and low production cost. The kit has the characteristics of high sensitivity and strong safety.

The invention provides a weak robustness optimized dispatching method for a micro energy network. The method comprises the following steps that: obtaining the architecture information, the energy price, the decision information, the user power and the renewable energy source output information of the micro energy network; according to the architecture information of the micro energy network, establishing the energy conversion and power balance model of the micro energy network; according to the energy price, the decision information and the energy conversion and power balance model of the of the micro energy network, establishing the weak robustness optimized dispatching model of the micro energy network; according to a peer-to-peer conversion theory, converting uncertainty constraints inthe weak robustness optimized dispatching model into certainty constraints; and according an optimal solution solved by GAMS (General Algebraic Modeling System) software, carrying out micro energy network dispatching. By use of the method, the problem of safe operation of the micro energy network under uncertainty parameters including user power, renewable energy source output and the like can besolved, dispatching economical efficiency and risks can be effectively balanced, the conservative property of traditional robustness optimized dispatching is improved, and a dispatching scheme which adapts to a practical situation can be more favorably provided.

The invention relates to a prediction control method for the output feedback fuzzy model of an uncertain direct-current microgrid. The method comprises the following steps of: firstly, giving a nonlinear DC microgrid system with a constant power load; obtaining parameters by obtaining the T-S fuzzy model of a direct-current microgrid; then discretizing the T-S fuzzy model of the direct-current microgrid; designing the fuzzy state observer and the output feedback model prediction controller of the direct-current microgrid, wherein gains of the observer and the fuzzy controller can be calculatedthrough a numerical value LMI solver, and the gains do not need to be calculated manually; and assigning the solved gains of the controller and the observer to a loop to realize prediction control ofthe uncertain direct-current microgrid output feedback fuzzy model of the constant-power power supply load.

The invention discloses a detection kit for novel coronavirus COVID-19 infection and belongs to the field of in-vitro diagnosis reagents. The kit disclosed by the invention comprises primers and probes for detecting a specific gene ORF1ab of novel coronavirus COVID-19, primers and probes for detecting a positive internal reference gene GAPDH and primers and probes for detecting an exogenous monitoring gene EGFP, and sequences are separately shown in SEQ ID No. 1-9. According to the kit, on the premise that the accuracy and stability of a detection result are guaranteed, the flux of detection is increased. According to the kit, a reagent Trizol is used as a sample preservation solution, safety of living beings, completeness of nucleic acid and load capacity of virus are guaranteed. According to the kit, RNA of the exogenous monitoring gene is introduced during RNA extraction, RNA loss conditions of a whole extraction and detection process can be monitored, the normativeness of a whole operating process is guaranteed, and false negative caused by defects of any step of the operating process is avoided.

The invention discloses a method for rapidly detecting 12 respiratory viruses by using a multiplex PCR technology and application of the method, and belongs to the technical field of gene engineering.In order to solve the problems of difficult biological classification and poor specificity of 12 respiratory viruses at present, genomic information of 12 respiratory viruses published by NCBI is analyzed to obtain genes of each respiratory virus with high specificity and good conservative property as target genes, and multiple primers and probes are designed according to the target genes, a multiplex PCR reaction system is obtained through optimization, the method capable of rapidly detecting the 12 respiratory viruses is obtained, and whether a sample contains the 12 respiratory viruses ornot can be rapidly detected through one-time PCR by means of the method.

The invention provides an epitope identification method of a thallus antibody, and belongs to the technical field of food safety immunological detection. A plurality of polypeptide fragments are obtained by affinity chromatography in identifying protein epitopes; intramembrane sequences and part of high-homology sequences in the target protein are preliminarily eliminated through topological structure, protein sequence homology and bacterial cross reaction analysis of the target protein; epitope mapping is mainly carried out on an extracellular loop structure sequence synthesis short peptide library with 3-6 amino acid differences, and tests prove that the method significantly reduces the workload and cost of epitope mapping, and improves the efficiency of epitope identification; the bacterial antigen epitope identification method has a wide application prospect in bacterial antibody epitope identification and exploration.

The present invention relates to a nested PCR detection method for equine piroplasmosis. The nested PCR detection method comprises the following steps: (1) conducting conservative analysis on 18S ribosomal RNA coding genes of two pathogens of the equine piroplasmosis and designing two pairs of primers by selecting a conservative region; (2) extracting DNA to be detected; (3) taking the DNA extracted in the step (2) as a template and preparing a PCR reaction system by using the outer primers designed in the step (1); and performing electrophoresis detection on a PCR product and performing secondary amplification if no target band exists in a 1,036 bp region; and (4) taking the first round nested PCR product in the step (3) as a template and preparing a PCR reaction system by using the outerprimers designed in the step (1); and performing electrophoresis detection on the PCR product, judging whether a target band appears in a 370 bp region, and if yes, judging the result positive. The method is relatively strong in specificity, relatively good in anti-interference performance, high in reliability and strong in practicability.

The invention provides a novel coronavirus detection kit as well as an application and use method thereof. The kit mainly comprises a primer probe mixture, wherein the primer probe mixture comprises Orf1ab gene, N gene and S gene specific forward and reverse primers and specific probes. The kit provided by the invention has the advantages of rapidness, high sensitivity, good specificity and good reproducibility. An amplified fragment in a primer sequence of an internal quality control product is gene in a human genome, so that the sensitivity of judging whether sampling is successful or not can be improved, a false negative detection result can be avoided, and potential patients can be isolated and treated in time. Research and development personnel accidentally discover that the S gene in the novel coronavirus has good conservative property in the research and development process, and has good specificity for detection of the novel coronavirus.

The invention discloses a power system scheduling method and device that take into account the uncertainty of the probability distribution of wind power, and constructs the uncertainty set of the probability distribution of wind power; defines the operation risk cost based on the uncertainty set of the probability distribution of wind power; cost, with the goal of pursuing the lowest total operating cost of the power system, construct a robust economic dispatch model that takes into account the uncertainty of the probability distribution of wind power; determine the optimization constraints of the robust economic dispatch model; The robust economic dispatch model is solved to obtain the optimal decision variables; the power system dispatch is realized based on the optimal decision variables. It realizes the automatic optimization of the system operation risk level and the acceptable range of wind power under the condition of uncertainty of the probability distribution of wind power. According to the complex nonlinear optimization model formed, combined with the characteristics of the uncertainty set of the probability distribution of wind power and the characteristics of the actual operation of the system, the original model is transformed into an iterative linear programming problem.

The invention discloses a thermal setting method for an external wind power transmission line. According to the relationship between the temperature of the transmission line wire and the service life and sag, the total abandoned wind power due to the limit of the thermal setting of the transmission line within the expected service life of the transmission line is: The objective function is constrained by the thermal balance of conductors, the loss of tensile strength of transmission lines, and the limit of safety clearance, and constructs an optimal decision-making model for thermal ratings of transmission lines, calculates the current-carrying values ​​of transmission lines at each time period, and compares them with the initial values ​​of thermal ratings , if the carrying current is greater than the initial value of the thermal setting value, then calculate and accumulate the abandoned wind power in this period in the objective function, update the conductor temperature, the loss of the tensile strength of the transmission line, and repeat iteratively until the time objective function of the expected service life of the transmission line is Zero, solve the quantity to be decided. The invention constructs conductor tensile strength loss and sag constraints based on the transmission line operating life and safety clearance requirements, effectively overcomes the conservatism of traditional thermal values, and effectively enhances the ability of the power grid to accept wind power.

The invention discloses a fluorescent quantitative PCR primer and kit for detecting type A Seneca virus. The primer is designed based on the gene sequence of the Seneca virus L / VP4 segment, and its upstream primer sequence is as shown in SEQ ID NO .1, the downstream primer sequence is shown in SEQ ID NO.2. The test kit of the present invention can be detected in an ordinary laboratory after adding TRIzol reagent to inactivate the virus, which is safe and convenient; it can quantitatively detect the A-type Seneca virus, and the minimum detection limit concentration is 6.4×10° copies / μL, high sensitivity; no amplification reaction to type A foot-and-mouth disease virus cDNA, type O foot-and-mouth disease virus cDNA, swine fever virus cDNA, good specificity, can be used to detect type A Seneca virus-infected animal samples such as blood, tissue The virus can also be used for the basic research of Seneca virus type A, the development of vaccines, the detection of virus titers in the production process, etc., and has a good application prospect.

The present invention discloses an alternating current / direct current microgrid economical dispatching method based on multi-interval nondeterminacy and robust optimization. The method comprises the following steps of: the step 10) obtaining nondeterminacy prediction parameters, and distributing a nondeterminacy time period budget number; the step 20) based on the step 10), constructing a multi-interval nondeterminacy set; the step 30) obtaining an operation cost coefficient and an operation limiting value of each device in the microgrid, and based on the step 20), establishing a robust optimization economical dispatching model of an alternating current / direct current microgrid; and the step 40) solving a robust economical dispatching problem: employing a column constraint generating algorithm to perform iteration solution of the optimization problem, and obtaining the robust operation plan of the alternating current / direct current microgrid. The alternating current / direct current microgrid economical dispatching method can improve the economic benefit of microgrid operation and can improve the important reference for formulation of an operation plan of the alternating current / direct current microgrid.

The present invention provides a novel coronavirus detection kit, application and method of use thereof. The kit mainly includes a primer probe mixture, and the primer probe mixture consists of Orf1ab gene, N gene and S gene-specific forward and reverse primers. and specific probe composition, the kit of the present invention has the advantages of rapidity, high sensitivity, good specificity and good reproducibility; the amplified fragment in the primer sequence of the internal quality control product in the present invention is human genome In the gene, it can increase the sensitivity of judging whether the sampling is successful, can avoid false negative test results, and allow potential patients to be isolated and treated in time; during the research and development process, researchers accidentally discovered that the S gene in the new coronavirus has a very good It is conservative and has good specificity for the detection of new coronaviruses.