33results about How to "The assessment method is accurate" patented technology

The present invention discloses a BP neural network-based power transmission line lightning damage risk assessment method. The method comprises the following steps of analyzing the influence factors of the power transmission line lightning damage risks, acquiring the lightning stroke risk sample data influencing the power transmission line safety according to the influence factors, and carrying out the normalization pre-processing, and dividing the lightning damage risk grades; establishing a BP neural network model, inputting the lightning stroke risk sample data in the BP neural network model to learn and train, adopting the trained BP neural network model to calculate the power transmission line lightning damage risk assessment values, and sending out the caution information to the power transmission lines having the higher risk assessment values. According to the present invention, the BP neural network model can be established, the lightning stroke risk sample data is acquired andis inputted to the BP neural network model to learn and train, thereby assessing the power transmission line lightning damage risk grades, and enabling the lightning damage risk assessment precisionto be higher and the results to accord with the actual requirements better.

The invention discloses a method and a device for evaluating the rationality of a communication network structure, and relates to the communication field and solves the problem that the evaluation result of the rationality of the communication network structure is not accurate enough. According to the specific scheme, the method comprises the following steps: acquiring RSRPs, collected by first sampling points, of cells in a to-be-evaluated region, and determining first cells on the first sampling points according to the RSRPs, collected by first sampling points, of the cells; counting the overlapped cover degrees of the first sampling points according to the RSRPs of the first cells, the RSRPs of all second regions and a preset RSRP threshold value; counting the neighbor cell interference intensity of the first sampling points according to the RSRPs of the first cells, the RSRPs of all the second regions, the preset RSRP threshold value and the overlapped cover degrees of the first sampling points; and evaluating the rationality of the communication network structure in the to-be-evaluated region according to the overlapped cover degrees and the neighbor cell interference intensity of all the first sampling points in the to-be-evaluated region.

The embodiment of the invention provides an electronic equipment value assessment method and device and electronic equipment. The method can include the steps that the initial value of a target terminal is obtained; the value of the performance parameter of the target terminal is detected; a depreciation value corresponding to the value of the performance parameter is determined according to the value of the performance parameter; and the current value of the target terminal is calculated according to the initial value and the depreciation value. The current value of the target terminal can be automatically assessed by detecting the performance parameter of the target terminal so that the assessment method is accurate and convenient.

The invention relates to an evaluating system for electric transmission line iron tower safety and evaluating method thereof. The evaluating system comprises a data collecting module, a controlling module and an output module connected in sequence; the controlling module comprises an iron tower safe state grading module, a judging module and a comparing module. The evaluating system collects information of iron tower state through the data collecting module, conducts grading and ranking to the iron tower state through the controlling module, and finally transmits all evaluation information to the output module. According to the technical scheme, potential safety risks of an electric transmission line iron tower can be found timely, so that the iron tower safety is mastered accurately, therefore technical support is provided for operation and maintenance of the iron tower, and safe and reliable operation of electric transmission line are guaranteed.

The invention discloses a power battery health state evaluation method and device, a storage medium and electronic equipment. Battery capacity is selected as the judgment parameter of battery health state. The battery health state evaluation method provided by the invention can be applied to new energy vehicles, energy storage power stations and other application scenes and equipment carrying lithium titanate batteries, and provides real-time battery health state data reference for maintainers and users. The evaluation method can also be applied to a rapid sorting device for echelon utilization of retired batteries, the time cost of battery sorting can be greatly reduced, and accurate data support is provided for subsequent echelon utilization of the batteries. The battery evaluation method has the advantages of rapidity and accuracy, the C/C++ evaluation algorithm software formed by the evaluation method can be applied to embedded equipment and upper computer software, and the rapid evaluation requirement of the lithium titanate battery health state is met.

The invention discloses a pulse Doppler radar amplitude jitter estimation method. The method comprises the steps that echo signal data of a stationary object or processed echo signal data are collected; windowing and Fourier transform in direction are carried out on the data to acquire a frequency-domain data matrix; modular operation is carried out on the frequency-domain data, and Doppler filtering is carried out on the frequency-domain data matrix after modular operation, so as to acquire a Doppler spectrum; the ratio of the zero-Doppler frequency amplitude to the maximum non-zero Doppler frequency amplitude is acquired; and jitter amplitude is evaluated according to the ratio. According to the invention, the residual clutter intensity of a strong stationary target signal during Doppler processing can be evaluated, and the ability of jiggle target detection of a radar system is evaluated.

The invention relates to the technical field of live broadcast, and specifically relates to a live broadcast room operating capacity evaluation method and device and terminal equipment. The live broadcast room operating capacity evaluation method and device are applied to the terminal equipment. The live broadcast room operating capacity evaluation method comprises the steps of selecting live broadcast rooms meeting preset conditions in all live broadcast rooms to serve as target live broadcast rooms, calculating an operation score of each target live broadcast room by adopting preset scoringrules, furthermore, calculating the operation scores of the other live broadcast rooms except for the target live broadcast rooms in all of the live broadcast rooms by adopting a linear regression model, and thus evaluating the operating capacity of each live broadcast room according to the operation score of each live broadcast room. The live broadcast rooms are different in property and scale, so that the scheme adopts different means for different live broadcast rooms to estimate the operation scores, and then the operating capacity of each live broadcast room is evaluated, so that the evaluation method is more accurate.

The invention, which belongs to the integrated electric propulsion system field, provides a risk evaluation method and apparatus for an integrated electric propulsion system. The method comprises: a risk state of an index of a sub system layer and work data of an index of a unit layer are collected; for each unit of the unit layer, a target index of the unit layer is screened by using a feature weight algorithm according to the work data of the index of the unit layer and a risk state of an index of a sub system of a sub system layer which the unit belongs to; and on the basis of the target index and the risk state of the index of the sub system of the sub system layer which the unit belongs to, training is carried out by using a rapid learning algorithm and a risk evaluation model of each unit is obtained to form a risk evaluation module group, so that a risk evaluation result of an integrated electric propulsion system is obtained. According to the method, a risk evaluation result of an integrated electric propulsion system can be obtained rapidly and accurately.

The invention discloses a selenium-cadmium associated crop heavy metal safety diagnosis system and method, and the system comprises: a UI module which is used for the input of related parameter data and the display of a calculation result; a processing module which is used for calculating the heavy metal cadmium content in the crops according to the related parameter data and evaluating the safetyof the heavy metal content of the crops, wherein the related parameters comprise soil available selenium content, soil pH, soil conductivity, soil organic matter content, soil heavy metal cadmium content and soil heavy metal cadmium extraction state content; and a management module which is used for receiving the related parameter data, inputting the related parameter data into the relation modelto calculate and evaluate the safety of the heavy metal content of the crops, and transmitting an evaluation result to the UI module to display. According to the method, the heavy metal content of the crops is calculated and safety evaluation is carried out by taking the soil heavy metal cadmium content, the available selenium content and various physicochemical properties as conditions, so thatthe method has important significance for safety production of the crops.

The invention relates to a method for evaluating the heat insulation performance of a vehicle exhaust pipe heat insulating layer. The method includes the steps of: (1) wrapping the periphery of a vehicle exhaust pipe with a to-be-detected heat insulating layer, and making the vehicle to simulate actual working conditions to operate for a predetermined time; (2) in the simulation operation process, measuring the temperature at the site of 100+/-5mm at the periphery of a vehicle exhaust pipe assembly and the temperature at the site of 200+/-10mm at the periphery of the vehicle exhaust pipe assembly respectively to obtain T1 and T2; (3) reading the temperature T3 of a silencer inner sensor of the vehicle's exhaust system; and (4) evaluating the heat insulation performance of the to-be-detected heat insulating layer according to the temperature T1, T2 and T3. According to the method provided by the invention, the evaluation results about the heat insulation performance of different material heat insulating layers are consistent with the automobile industry standard. Therefore, the evaluation method provided by the invention is accurate, can be used for evaluating the heat insulation performance of vehicle exhaust pipe heat insulating layers made of different materials, and provides the basis for selection of vehicle exhaust pipe heat insulating layer materials.

The invention provides an assessment method for position comfort of auxiliary fascia console zone parts. The assessment method comprises the following steps: a, a mathematic model of the auxiliary fascia console zone parts is built; the auxiliary fascia console zone parts are converted into entity models at a dimension ratio of 1:1 according to the mathematic model; and b, a driver seat and the auxiliary fascia console zone parts are subjected to position adjustment. The assessment method has the beneficial effects that at a passenger car development stage, a method for assessing comfort of the auxiliary fascia console zone parts at different arrangement positions is provided; the assessment method is accurate, high-efficient and low in cost; the comfort of the auxiliary fascia console zone parts is favorably improved; and improvement on passenger car development quality is promoted.

The invention belongs to the metal hydride hydrogen storage pot safety evaluation technology field and especially relates to a metal hydride hydrogen storage pot stress strain test method. In the stress strain test method, strain gauges are mainly and selectively pasted on key positions of a straight cylinder of a pot body, a convex surface, a weld joint, a position near a corner and the like; andthe strain gauges applied to a water area environment are protected through arranging a water absorbent in a waterproof glue. Through filling or sending out quantitative hydrogen in and from a metalhydride hydrogen storage pot at intervals, a strain change value of a hydrogen storage pot surface is tested, a change rule of a metal hydride hydrogen storage pot surface strain along with a hydrogenstorage amount is acquired and then safety of the metal hydride hydrogen storage pot during a usage process is determined. By using the stress strain test method, a strain of each key position on thehydrogen storage pot can be tested in a targeted mode, strain test points are reduced and test efficiency is increased.

The embodiment of the invention relates to the field of risk control. Some embodiments provide a risk assessment method and device and a storage medium. The method comprises the steps of obtaining user data of a to-be-evaluated new application user; extracting a first backtracking feature of the user data; comparing the first backtracking feature with each second backtracking feature and each third backtracking feature of a preset sample group to obtain similarity between the first backtracking feature and each second backtracking feature and similarity between the first backtracking feature and each third backtracking feature; and determining a risk assessment result of the new application user according to the similarity. According to the embodiment of the invention, the screened target rejection sample and the unbiased model obtained through sample fusion training are used as the risk assessment model, so that the default probability of the new application user is calculated through the risk assessment model, and the assessment accuracy of new user default risk assessment is effectively improved.

The invention discloses an evaluation method of linker connection efficiency in construction of a next-generation sequencing library. The method comprises the following steps of constructing a fragment containing linker sequences at two ends, wherein the fragment is L1-A-L2, L1 and L2 are linkers, and A is a DNA fragment; detecting to obtain the copy number of the constructed L1-A-L2; carrying outlibrary construction on the A fragment by taking L1 and L2 as linkers, and purifying and recycling a library construction product after the library construction is completed to obtain a library a; performing absolute quantification on the library a by adopting a qPCR method with L1-A-L2 as a standard substance, and detecting to obtain the number n of molecules of a total A fragment in the librarya and the number m of molecules of L1-A-L2 in the library a, wherein the percentage of the number of molecules connected with the linkers at the two ends in the library a in the total number of molecules of the A fragment is the linking efficiency of the linkers in library construction. Through the method disclosed by the invention, the specific percentage of the linker connection in the construction of the next-generation sequencing library can be accurately obtained.

The invention discloses a self-adaptive self-adjusting multi-dimensional breeding environment quality evaluation method and system, and the method comprises the steps: collecting an optimal temperature and humidity value, a high temperature and humidity alarm value, a low temperature and humidity alarm value, a high temperature and humidity comfortable region offset percentage, and a low temperature and humidity comfortable region offset percentage of a breeding farm, and constructing a temperature and humidity evaluation model; collecting a harmful gas index value, a harmful gas high alarm value and a harmful gas volatility of the farm, and constructing a harmful gas evaluation model; and constructing a farm environment evaluation model according to the temperature and humidity evaluation model and the harmful gas evaluation model. The system comprises a data acquisition module, a harmful gas scoring module, a temperature and humidity scoring module, an environment comprehensive scoring module, a storage module, a first display module and a first communication module. The evaluation method provided by the invention is accurate, the system structure is reasonable, automatic monitoring of the farm environment is realized, and technical support is provided for the intelligent process of the farm.