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 method for testing residual stress distribution of a ram casting for a large-scale machine tool by a blind hole method. The method comprises the following steps of taking out the ram casting from a casting mold; selecting a residual stress test surface; arranging residual stress test points; testing strain caused by residual stress of each test point; analyzing and integrating strain data obtained by testing; and calculating the value of residual stress of each point to obtain residual stress distribution. The method is low in cost, simple in calculation, high in measurement precision, perfect in theory and mature in technology, does not require expensive equipment, and evaluates the residual stress distribution accurately and scientifically. With the method, the residual stress distribution of the ram casting can be tested and obtained, so that stress concentration portions and weak portions of the ram structure can be determined, and reference data can be provided for design and optimization of the ram casting forming technology.

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 for analyzing flexible assembly statistic tolerance with consideration of the elasticity modulus and the Poisson ratio random error of materials. An assembly rigidity matrix calculation model with the consideration of the elasticity modulus and the Poisson ratio random error of the materials is established according to the STA method, COV calculation, the FEM method, the super-element rigidity matrix theory and the like, an assembly resilience deviation mean value and covariance matrix calculation model is obtained, influence on flexible assembly deviation by the material attribute error is scientifically and accurately determined and the scientific performance of engineering application is improved.

The invention discloses a method and a system for determining a segmented modeling point of a temperature sensitive interval. The method comprises the steps of: obtaining temperature value increment measured values and thermal deformation measured values of M batches of machine tools sorted from low to high according to the ambient temperature within a whole year; correspondingly establishing a thermal error prediction model for each batch of machine tools according to the data selected from each batch; establishing an M * M thermal deformation prediction matrix and a predicted residual standard deviation matrix; drawing a predicted residual standard deviation change tendency chart according to the predicted residual standard deviation matrix; finding the temperature sensitive interval inthe predicted residual standard deviation change tendency chart, wherein the temperature sensitive interval refers to a corresponding ambient temperature interval in the case of hop of the predicted residual standard deviation; and selecting a segment point of the temperature sensitive interval within the temperature sensitive interval. The system disclosed by the invention comprises a data collection system and a computer configured with a temperature sensitive interval segmented modeling point calculation program. By adopting the method and the system disclosed by the invention, the segmented modeling point of the temperature sensitive interval can be effectively determined, and the intuitiveness and universality are good.

The invention discloses an asphalt mixture mixing temperature determination method based on a surface energy theory. The asphalt mixture mixing temperature determination method comprises the followingsteps of: step S100, acquiring a hot-melt asphalt surface energy parameter test result; step S200, according to an adhesion work calculation formula and the hot-melt asphalt surface energy parametertest result, obtaining adhesion work of an asphalt and aggregate interface at different mixing temperatures; S300, determining the temperature range of the peak value of the adhesion work of the asphalt and aggregate interface; and step S400, calculating the median of the temperature range determined in the step S300, and further determining the optimal mixing temperature of the asphalt mixture. According to the asphalt mixture mixing temperature determination method based on the surface energy theory of the invention, the problem that the mixing temperature of an asphalt mixture obtained according to engineering experience or a viscosity-temperature curve of matrix asphalt used by the mixture cannot reflect the adhesion of asphalt and aggregate is avoided, so that the determination of themixing temperature of the asphalt mixture is more scientific.

The invention discloses a pluggable gothic arch tracing system used for dental restoration and a method thereof. The pluggable gothic arch tracing system comprises an upper jaw arch plate and a lowerjaw arch plate, the upper jaw arch plate is in a U-shaped structure, and a T-shaped upper jaw tracing plate is embedded in an inner side of the upper jaw arch plate; the lower jaw arch plate is in a U-shaped structure, a handle is inserted at a front end of the lower jaw arch plate 3, a T-shaped lower jaw arch plate is embedded in the inner side of the lower jaw arch plate 3, and a tracing needleis connected with the lower jaw arch plate through screw thread. According to the tracing system, a front tooth zone tongue side avoidance groove is arranged at a front end of the upper jaw arch plate, a wax rim space is reserved, and the tracing system is in favor of recording and transferring fullness of a maxillary anterior region through wax addition or reduction during dental restoration forpatient. The handle is a pluggable type, is inserted at a channel section of the lower jaw arch plate while mold taking and facebow using, and the can be removed while the aesthetics information is recorded by wax rim. According to the invention, a fork and a bite silicone rubber are not used for facebow transfer, and an upper lip is not interfered while aesthetics information is transferred.

The invention relates to an aided design method of a building structure. The aided design method includes the steps of 1, inputting design initial conditions including building and environment conditions; 2, determining structure design information according to the design initial conditions and reference design standards of a design standard base; 3, based on a relevant constraint conditions, judging whether or not the structure design information and calculated amount acquired from the structure design information meet the minimum design requirement, and if so, enters the step 4; if not, back to the step 2 to re-adjust the structure design information; 4, outputting the structure design information to acquire the final total structure design information. By the use of the aided design method, structure design is more accurate and integral, and design efficiency is increased.

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 relates to a method for determining an optimal grouting timing of bolt grouting support in a laboratory. The method is based on a variation law between the degree of crack development inside rock and the strength of a grouting consolidation body, the relation curve between the grouting timing and the uniaxial compressive strength of a grouted specimen is obtained through a biaxial rheology and grouting coupling test, and then the optimal grouting time is obtained. The method breaks through the bottleneck of the grouting timing determined by experience in a traditional bolt grouting support design, and realizes the scientific and reasonable determination of the optimal grouting timing of the bolt grouting support; and the method has clear ideas, the theoretical basis is reasonable, the operability is high, an important method is provided for the grouting timing of bolt grouting support in coal mine roadway, and the guiding significance is significant.

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 discloses an oil field heating furnace energy efficiency system evaluation method, which takes an oil field heating furnace as a research object, performs energy-saving detection on the heating furnace, determines the size of each evaluation index according to a test result, and then calculates the information entropy and entropy weight of each evaluation index of the oil field heating furnace by adopting a novel weighting method. The method comprises the following steps: determining a weight sequence through the size of weights, judging main factors influencing the efficiency of the heating furnace, establishing an oil field heating furnace energy efficiency system evaluation model by adopting a grey TOPSIS method, calculating the grey correlation degree and Euclidean distance of each comparison heating furnace through a weighted index matrix, and determining the relative closeness between the operation state of the heating furnace and the ideal operation condition of the heating furnace. According to the method, the problem that the independent variable of the logarithmic function in the weighting formula is zero is solved, the calculation weight and the evaluation process conform to mathematical calculation conditions and practical engineering application, and instructive opinions are provided for energy conservation and consumption reduction work of an oil field.

The invention discloses a biological verification ultraviolet dose system and method. The system comprises a water inlet pipe, an ultraviolet reactor, a regulator feeding facility and a microorganismfeeding facility; the water inlet pipe is connected with a static mixer, the water inlet pipe is connected with the regulator feeding facility and the microorganism feeding facility, the static mixeris connected with the ultraviolet reactor, and sampling ports are formed in a water inlet and a water outlet of the ultraviolet sensor. The system is simple in structure and small in occupied area, actual ultraviolet energy which can be output to microorganisms in water by ultraviolet equipment can be rapidly, scientifically and reasonably determined through the system, and the disinfection performance of the equipment can be truly reflected.

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 discloses a detection method of a transition degree of oil-based drilling fluid. The detection method comprises: determining a parameter preparation value: measuring the parameter of the preset oil-based drilling fluid according to the prepared oil-based drilling fluid to obtain the parameter preparation value of the preset oil-based drilling fluid; determining a parameter test value: injecting the oil-based drilling fluid into a drilling fluid circulating system if the preparation value is more than a first preset parameter threshold value, testing the preset oil-based drilling fluid parameter of a returning fluid in the drilling fluid circulating system every other first preset time in the injection process to obtain the parameter test value of the preset oil-based drilling fluid; and determining the transition degree: comparing the test value with a second preset parameter threshold value, and determining the transition degree of the oil-based drilling fluid according to the comparison result. The detection method can accurately determine whether the drilling fluid circulating system completes the transition of the oil-based drilling fluid, and is convenient for on-site staff to operate.

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 a method and a system for determining a segmented modeling point of a temperature sensitive interval. The method comprises the steps of: obtaining temperature value increment measured values and thermal deformation measured values of M batches of machine tools sorted from low to high according to the ambient temperature within a whole year; correspondingly establishing a thermal error prediction model for each batch of machine tools according to the data selected from each batch; establishing an M * M thermal deformation prediction matrix and a predicted residual standard deviation matrix; drawing a predicted residual standard deviation change tendency chart according to the predicted residual standard deviation matrix; finding the temperature sensitive interval inthe predicted residual standard deviation change tendency chart, wherein the temperature sensitive interval refers to a corresponding ambient temperature interval in the case of hop of the predicted residual standard deviation; and selecting a segment point of the temperature sensitive interval within the temperature sensitive interval. The system disclosed by the invention comprises a data collection system and a computer configured with a temperature sensitive interval segmented modeling point calculation program. By adopting the method and the system disclosed by the invention, the segmented modeling point of the temperature sensitive interval can be effectively determined, and the intuitiveness and universality are good.

The embodiment of the invention discloses a demand forecasting system for automobile spare parts based on multi-model optimization, which relates to the technical field of data forecasting. Wherein, the system includes: a model training module; a threshold determination module, which is used to finally average the average error evaluation index value of all automobile spare parts under each threshold to be selected; determine the final threshold according to the variation of the average error evaluation index value; model The optimal module is used to determine the prediction model corresponding to the minimum error evaluation index value to predict the demand if the difference corresponding to the same kind of auto spare parts is greater than or equal to the final threshold value, and obtain the predicted value; if the corresponding same kind of auto spare parts If the difference is smaller than the final threshold, at least two forecasting models for predicting the demand for spare parts of the same type of automobile are determined to predict the demand, and an average forecast value is obtained. In the embodiments of the present invention, accurate prediction results are obtained by scientifically and rationally selecting the optimal model or combination among multiple prediction models.

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.