40results about How to "Determine science" patented technology

The invention discloses a fixed-time truncation reliability test method for Weibull distributed product. The method comprises the following steps: S1, according to historical data, a shape parameter m of Weibull distribution is obtained and a basic parameter of a fixed-time truncated test plan is determined; S2, an allowable failure number c of the test plan is determined based on the shape parameter m of the Weibull distribution and the basic parameters of the fixed-time truncated test plan; and S3, total test time T of the test plan is determined according to the allowable failure number c of the test plan. According to the invention, a Weibull distributed product can be authenticated reliably and a test plan is determined scientifically and reasonably, so that the product reliability evaluation level is improved; and the design sizing and batched production of products are controlled precisely, so that the quality and reliability of the product are improved.

The invention discloses a business expansion installation scheme aided design realization method based on a power grid GIS (geographical information system) platform. The business expansion installation application of a power consumption user is received and processed via the network and is visually displayed by a power grid GIS map. The business expansion installation scheme aided design realization method based on the power grid GIS platform has the beneficial effects that the professional interaction flow of the business expansion installation and the production is established, an optimal access power supply point can be scientifically, quickly and accurately determined, aided support is provided for formulating the power supply scheme, a marketing and producing integrated management and business cooperative work system is constructed, and the working efficiency and the marketing service level are powerfully improved. The design is safer and more reliable, and the investigation at the scene is easier.

The invention discloses a site selection method for post-earthquake medical emergency facilities. The method comprises steps that (1), candidate points for the post-earthquake medical emergency facilities are determined; (2), influencing factors for site selection optimization of the post-earthquake medical emergency facilities are analyzed according to the specific conditions of a region; (3), weights of the various influencing factors are calculated through utilizing TOPSIS; (4), fairness, high efficiency, the maximum coverage range and appropriate cost consideration are taken as targets toestablish a base-level emergency medical facility site selection model; (5), a post-earthquake advanced emergency medical command post site selection model is established based on the base-level emergency medical facility site selection model of the step (4); and (6), the model is solved by the nested genetic algorithm, and a base-level medical emergency facility point set and advanced emergency medical command posts are determined. The site selection method is advantaged in that the site selection method can quickly and scientifically determine the medical emergency facility points, and the method is of great significance to reduce casualties after earthquakes.

The invention discloses a numerical method for fast determining process parameters of a hot punching production line. The method comprises the following steps of selecting process parameters to be determined and quality evaluation index parameters; determining a process parameter value range; performing random sampling to generate basic process parameter data; obtaining a data model of a product produced by the hot punching process production line under the condition of the basic process parameter; solving the average value of all index parameters in the data model; obtaining a mapping relationship between the basic process parameter and the index parameter average value; obtaining a process parameter reference value under the condition of the optimum index parameter; using the process parameter reference value as the basis to obtain the optimum practical process parameter. The method has the advantages that the hot punching process production line parameter data can be fast and scientifically determined; the mode process manufacturing and site debugging process can be obviously shortened; the product development process is accelerated; the product performance stability is ensured.

The invention provides a method and a device for determining a linearization curve of a printing equipment. The method for determining the linearization curve of the printing equipment comprises the following steps of according to a preset number of nilson coefficients, and obtaining an alternative linearization curve corresponding to the nigelson coefficient; according to each alternative linearization curve and a preset sampling point set, and obtaining a composite color target graph corresponding to the nigelson coefficients; acquiring measurement density data and three-color on-site measurement density data of each composite color target graph; according to the measurement density data of the composite color target graph, three-color on-site measurement density data and printing standard density data, and determining a target nilson coefficient; and according to the target nilson coefficient, and determining a target linearization curve. According to the method and the device for determining the linearization curve of the printing equipment, the automatic determination of the nison coefficient value is realized, the target linearization curve conforms to the printing standard is generated, so that the purpose of scientifically and accurately generating the linear curve of the equipment is achieved, and a foundation is laid for further color management.

The invention discloses a historical data-based patrol point inspection task execution and route optimization method, which comprises the following steps of: S1, planning a patrol point inspection route and production task data by a technical specialist according to a historical patrol point inspection condition; S2, sticking in-place point labels according to the patrol point inspection route, and completing sign-in place setting; S3, determining a display sequence of each patrol point inspection in-place point on the patrol point inspection APP; S4, executing the patrol point inspection task, and recording execution sequence information; and S5, analyzing the recorded execution sequence information data, and optimizing the patrol point inspection route. According to the historical data-based patrol point inspection task execution and route optimization method, the defects of a traditional patrol point inspection mode in patrol point inspection route determination and patrol point inspection task execution efficiency are overcome; field operation personnel are helped to execute corresponding patrol point inspection tasks according to a better route, and the patrol point inspectionroute is helped to be determined more scientifically in the continuous optimization process.

The invention discloses a method for determining an optimal sequence alignment threshold for a gene database. The method comprises the following steps: 1) acquiring a protein sequence; 2) removing sequences included in the gene database from the protein sequences, and creating a pseudogene data set; 3) dividing protein sequences in the gene database into subclasses to serve as a true gene data set; 4) combining the pseudogene data set and the true gene data set, and simulating a DNA sequence with a specific length generated by high-throughput sequencing for any protein sequence to obtain a simulated data set; 5) performing sequence comparison, and comparing a comparison threshold value to obtain a value; 6) judging a sequence comparison result, and calculating the numbers of true positive,mismatch, false positive, false negative and true negative; 7) calculating sensitivity, accuracy and a Mathesian correlation coefficient; 8) drawing a three-dimensional curved surface graph by takingthe similarity as an X axis, the E value as a Y axis and the sensitivity, the accuracy or the Malaysian correlation coefficient as a Z axis; and 9) determining an optimal sequence alignment thresholdof the gene database in the three-dimensional curved surface graph.

The embodiment of the invention discloses an automobile spare part demand prediction system based on multi-model optimization selection, and relates to the technical field of data prediction. The system comprises a model training module; the threshold value determination module is used for finally averaging to obtain an average error evaluation index value of all the automobile spare parts under each candidate threshold value; determining a final threshold value according to the change condition of the average error evaluation index value; the model optimization module is used for determining the prediction model corresponding to the minimum error evaluation index value to carry out demand quantity prediction if the difference value corresponding to the same automobile spare parts is greater than or equal to a final threshold value, and obtaining a prediction value; and if the difference value corresponding to the same kind of automobile spare parts is smaller than a final threshold value, at least two prediction models for predicting the demand quantity of the same kind of automobile spare parts are determined for demand quantity prediction, and an average prediction value is obtained. According to the embodiment of the invention, the optimal model or combination is scientifically and reasonably selected from the plurality of prediction models, so that an accurate prediction result is obtained.

The invention provides a communication iron tower remote monitoring method based on an Internet of Things platform, and relates to the technical field of Internet of Things. Through the remote monitoring method, when the monitoring equipment goes wrong, even if no real-time inclination data exists, analysis can be performed through the predicted inclination data. Moreover, during application, if the real-time inclination data is still not obtained, abnormality judgment is carried out based on the predicted inclination data; and if yes, abnormity judgment can be performed in combination with real-time and predictive modes, so that the accuracy of an abnormity judgment result is further improved. Therefore, the method can improve the reliability and stability of monitoring and improve the accuracy of a monitoring analysis result at the same time.

The invention discloses a method for determining storage time of battery cells, and the method can quickly determine storage time required for picking out bad battery cells. The method includes the following steps: 1) preparing a seed battery cell containing metal fragments; 2) storing battery cells at a set temperature after pre-charging the battery cells and recording daily voltage of the battery cells. The method of the invention adopts precise introduction of the metal fragments to prepare the seed battery cell, simulates cells with large self-discharge caused by a micro short circuit, anddetermines the storage time required to pick out the bad battery cells by voltage drop of the battery cells. The method has the advantages of less experimental samples, high versatility, scientific rationality, and easy operation.

The invention belongs to the technical field of intelligent materials. The invention discloses a magnetorheological fluid performance evaluation method. Corresponding weight coefficients are respectively given to a contact angle, a friction coefficient, a zero-field viscosity value and a yield stress value of magnetorheological fluid; then, the viscosity value and the yield stress value of the carrier liquid of the magnetorheological fluid are matched; finally, performance evaluation indexes of the magnetorheological fluid are obtained. Therefore, the contact angle, the friction coefficient, the zero-field viscosity value and the yield stress value of the magnetorheological fluid are comprehensively considered; according to the magnetorheological fluid performance evaluation method, the systematic and scientific performance evaluation indexes are obtained, reasonable performance evaluation is conducted on different prepared magnetorheological fluids through the performance evaluation indexes, and therefore the different magnetorheological fluids can be conveniently selected according to different application scenes, and then the use efficiency of the magnetorheological fluids is greatly improved. The invention further discloses a magnetorheological fluid performance evaluation system which is used for implementing the magnetorheological fluid performance evaluation method.

The invention provides a determination method and device of a health index improving model. A health index feature is extracted from historical health state data of a user, a health plan guiding feature is extracted from preset historical health plan guiding data, and the health index feature is a feature obtained by that the user carries out guiding according to the health plan guiding feature; amapping relation between the health index feature and the health plan guiding feature; and training is carried out according to the mapping relation, the health index improving model represented by ahealth index improving function is obtained, and the health index improving function takes the health index feature and the health plan guiding feature as independent variables.

The invention relates to a method of representing a gelation nucleating kinetics process of waxy crude oil emulsion. The method comprises steps of (1) determining latent heat released in cooling gelation; (2) according to a law of thermodynamics, establishing a relationship between latent heat released by a waxy crude oil emulsion system and quantity of gelation cores formed by wrapping dispersedphase water droplets by precipitated wax crystal, and determining cooling gelation nucleating quantity; (3) establishing a relationship between latent heat of cooling gelation and temperature and gelation nucleating rate; (4) creating a dispersed phase water droplet size and mas fraction distribution determining method; and (5) quantitatively representing cooling gelation nucleating rate of waxy crude oil emulsion. Impact of the oil-water emulsification role on the waxy crude oil gelation nucleating behavior is associated and represented according to the full correlation of thermodynamic property of the waxy crude oil emulsion and a cooling gelation characteristic parameter of the waxy crude oil emulsion, therefore, a method of quantitatively representing the gelation nucleating kinetics process of waxy crude oil emulsion is provided, and is highly scientific, operable and practical.

The invention discloses an aviation oven control sensor positioning method and device, equipment and a medium, and the method comprises the following steps: extracting geometric features of an oven, and constructing a three-dimensional geometric model of the oven according to the geometric features; importing the three-dimensional geometric model into simulation software, inputting material parameters of the oven, and performing grid division on the three-dimensional geometric model of the oven; simplifying a heat exchange mode of the oven after grid division, and determining parameters of hot air flow; taking parameters of the hot air flow as boundary conditions, and inputting the parameters into simulation software; inputting a preset heating condition according to the actual production condition; wherein the heating condition is that heating is performed firstly and then heat preservation is performed; obtaining a temperature field distribution model of the oven in a heat preservation state under the heating condition; according to the temperature field distribution model, determining the position point in the overall temperature field median area, and the method has the advantage that the installation position of the control sensor in the drying oven can be accurately and efficiently determined.