43results about How to "Accurate valuation" patented technology

A method for valuing a used motor vehicle provides an reliable and verifiable valuation based on information about the vehicle as provided by its manufacturer. The method considers the optional equipment with which the vehicle was originally provided in determining its value, and can also consider other originally provided information about the vehicle including manufacturer's pricing.

Embodiments of systems and methods can determine comparable real estate properties for use in the valuation of a subject real estate property. For example, a geographic area surrounding the subject property can be divided into smaller regions and a set of one or more regions having property characteristics that most closely match the characteristics of the subject property can be identified. Comparable properties can be selected from this set of regions rather than from the overall geographic area as a whole, which may lead to identifying better-matching comparable properties as compared to selecting comparable properties from the overall geographic area (which generally will include regions that are poor matches to the subject property).

The invention discloses a detection algorithm for the pore structure of a shale gas reservoir. The detection algorithm comprises the step of carrying out specific surface analysis and detection to obtain partial data by adopting a nitrogen absorption method, and also comprises the following steps: (1) in the pressure reducing process after nitrogen is absorbed to maximum pressure, gradually and respectively converting staged desorbing amount of the nitrogen into the percent of the volume of a desorbed wetting phase at stages accounting for the volume of a rock-core pore and the percent of the volume of the desorbed nitrogen accounting for the total volume of the rock core; (2) calculating out the thickness of a wetting film in the process of staged desorption, namely, the throat radius of the process, by adopting a digital model for calculating the thickness of a water film according to the specific surface of nitrogen absorption and the density of the rock core; and (3) according to the relation of the capillary pressure theory, obtaining capillary pressure under the corresponding and relative pressure and a capillary pressure curve in the whole desorption process. The detection algorithm disclosed by the invention has the advantages that the characteristics of the pore structure of the shale gas reservoir and the characteristics of seepage and production of natural gas can be intuitively described, further the value of the shale gas reservoir is evaluated, the practical value is very high and the application prospect is very wide.

The invention discloses a method for evaluating a vehicle based on machine learning, which includes the following steps: information acquisition step: acquiring the original data of the vehicle, the original data of the vehicle including the vehicle year, license plate time and vehicle configuration; preprocessing step: The raw data of the vehicle is preprocessed according to different classifications to obtain the feature set of the vehicle, the feature set includes its own feature set; the residual rate calculation step: obtain the residual rate corresponding to each feature in the feature set of the vehicle through the GBRT model ; Estimate calculation steps: Obtain the residual rate corresponding to the vehicle and the manufacturer's guide price to obtain the vehicle valuation. The invention also discloses a storage medium and a device. The present invention utilizes the transaction data of used cars and the currently available vehicle data information, uses GBRT to mine the relationship between each feature of the vehicle and the residual rate, and in addition to query parameters, introduces real-time data to accurately evaluate used cars .

The invention discloses a Doppler estimation method based on measurement of a carrier frequency of a direct sequence spread spectrum signal. The method comprises the following steps of adopting a pseudorandom sequence to carry out spread spectrum modulation on single-frequency CW (Continuous Wave) pulses; forming an emission signal after power amplification is carried out on a spread spectrum modulation signal; sending the emission signal into water through a transmitting transducer; enabling a receiving end to receive the signal by utilizing a hydrophone, carry out time synchronization on the receiving signal by utilizing a copy correlator after the signal is filtered and amplified, and carry out de-spread processing on the receiving signal by utilizing a local pseudorandom sequence after time synchronization is detected; measuring a frequency value by utilizing a high-resolution computing method after low-pass filtering is carried out on the de-spread signal; and estimating a Doppler coefficient according to the frequency value and an original carrier frequency value. The method has the advantage of high estimation precision.

The embodiment of the invention provides a vehicle valuation method based on big data. The method comprises the following steps: receiving user basic information of a target user, valuation strategy selection information, vehicle basic information of an associated vehicle and vehicle historical information; obtaining a plurality of weight parameters corresponding to the vehicle basic information and the vehicle historical information, and inputting the weight parameters into a first vehicle value estimation model; obtaining a first valuation price of the associated vehicle according to the first vehicle valuation model; determining a loss level of the associated vehicle and a transaction vehicle data set based on the final residual value rate corresponding to the first estimated value price; evaluating a second estimated value price of the associated vehicle according to a plurality of transaction data in the transaction vehicle data set and the first estimated value price of the associated vehicle; determining a final estimated price of the associated vehicle based on the estimated policy selection information and the second estimated price. The embodiment of the invention furtherprovides a vehicle value estimation system and device based on the big data and a readable storage medium. According to the embodiment of the invention, the value of the vehicle can be estimated moreaccurately.

The invention discloses a method and a system for assessing values of second-hand cars according to big data. The method includes S11, acquiring model information, input by users, of to-be-accessed second-hand cars; S12, acquiring corresponding value assessment functions from a function database of a value assessment model, and after acquiring all corresponding function parameters from a parameterdatabase of the value assessment model, substituting the vehicle information into the value assessment functions to calculate market assessed prices of the to-be-accessed second-hand cars. The modelinformation includes models, license application dates, mileages, vehicle conditions, trading locations and/or colors; the value assessment model is a multi-element nonlinear calculation model acquired based on big data training, and comprises the function database and the parameter database. The method and the system have the advantages of high value assessment accuracy, high stability, capability of assessing the prices of the second-hand cars accurately, and wide application to the value assessment field of the second-hand cars.

The motor vehicle risk and value evaluation system based on the life cycle of parts and components of the present invention includes a three-level and nine-level dynamic data evaluation device, which outputs a second evaluation c according to the first data and second data of the vehicle; an evaluation coefficient adjustment module, It outputs the adjustment coefficient r according to the usage of the parts of the vehicle; the data processing module outputs the third estimated value s of the vehicle according to the following formula; s=c×(1+r). The present invention adjusts the valuation of the vehicle based on the use of the parts of the vehicle, that is, the life cycle, through the above-mentioned valuation coefficient adjustment module, so that the valuation of the used car is more accurate, and the user can understand the value of the vehicle more clearly. And know the risk of the vehicle through the value and the adjustment factor r.

A vector quantization method includes framing inputted voice signal sample point to form a super frame, picking up A sound channel parameter as well as voiceless and voiced consonant parameter for quantization, converting A sound channel parameter to be line spectrum pair parameter, deducting DC subcomponent, confirming line spectrum pair predictive value, using line spectrum pair parameter without DC to detuct the prodictive value for carrying out vector quantization.

The invention provides mobile phone loss detection and recovery equipment and a mobile phone loss detection and recovery method. The equipment comprises a detection assembly, a driving assembly and arecovery assembly, wherein the detection assembly comprises a cabin body with an open front surface, a photographing assembly arranged on the cabin body and a rotating table arranged on the bottom surface of the cabin body and used for placing a detection mobile phone, the photographing assembly comprises a first photographing assembly and a second photographing assembly, and the method comprisesthe steps of photographing, detecting and recycling the lost mobile phone. The appearance loss detection of the recycled mobile phone is realized by using the device; the detection information is adopted, and mobile phone valuation can be carried out more reasonably, so that the number of times of secondary manual inspection caused by inaccurate mobile phone evaluation can be greatly reduced, therecovery efficiency of the mobile phone is improved, the intermediate cost of mobile phone recovery is reduced, the mobile phone recovery success rate is improved under the condition that the mobile phone recovery experience of a user is improved, and the very ideal market practical value is achieved.

The present invention provides a terminal recovery method, a device and a mobile terminal. The terminal recovery method comprises the steps of extracting the first state information of a first terminal through the transmission application, determining the recovery price of the first terminal according to the first state information of the first terminal, generating a recovery order according to the recovery price of the first terminal, and uploading the recovery order to a recovery server. According to the technical scheme of the invention, the first terminal is accurately valuated, so that the recovery order is generated. In this way, the problems of longer trading period, non-trust endorsements and larger risk in the prior art can be solved.

The invention discloses a battery modeling method and device. The method comprises the following steps of: obtaining an equivalent circuit model of a target battery; determining an equivalent voltage function of the target battery according to the obtained equivalent circuit model of the target battery; and taking the equivalent voltage function of the target battery as a battery model of the target battery. According to the method and device disclosed by the invention, the technical problem that the value assessment is incorrect by utilizing the battery model in later periods as battery modeling cannot be carried out according to the changes of parameters of the batteries in the prior art is solved.

The invention discloses a personal wealth valuation method and device, a storage medium and computer equipment. The method comprises the steps of obtaining data information of a to-be-valuated person;based on the data information of the to-be-estimated individual, determining salary income, deposit saving and stock right investment value of the to-be-estimated individual; and based on the salaryincome, the deposit saving and the stock right investment value, determining a wealth estimation value of the to-be-estimated user. According to the method, the data information of the to-be-estimatedindividual is acquired, the salary income, the deposit saving and the equity investment value of the to-be-estimated individual are determined based on the data information of the to-be-estimated individual, and then the wealth estimation value of the to-be-estimated individual is determined based on the salary income, the deposit saving and the equity investment value. The method is suitable forall kinds of people, is rich in use data dimension, and can achieve the accurate, comprehensive and quick evaluation of personal wealth.

The invention discloses a second-hand vehicle value estimation method based on smooth support vector regression fusion, and the method comprises the following steps: obtaining a transaction price during the transaction of a second-hand vehicle, taking the transaction price as a data source, and carrying out the processing, cleaning and desensitization of the data source; taking transaction pricesin the desensitized data sources as input vectors x, classifying the transaction prices according to different influence factors, taking the influence factors as relative variables y, and forming a set s{xi, yi}; performing constraint optimization on the set; and applying a machine learning technology and smooth support vector regression and performance fusion to obtain a fusion prediction model,and performing analysis by adopting the model to obtain a predicted transaction price of the second-hand vehicle. A set of data sources is constrained and optimized by utilizing a smooth support vector regression algorithm, and a machine learning technology and the smooth support vector regression algorithm are fused, so that the technical problem that the valuation of a second-hand vehicle is notaccurate enough due to the fact that prediction is based on increasingly old statistical parameter values after the constraint optimization of the data sources can be solved.

The invention provides a mobile intelligent terminal connection mobile network performance detection method and device, and the method comprises the steps: enabling a wireless comprehensive tester tobe connected with an antenna switching switch, and enabling the antenna switching switch to be connected with a plurality of antennas; enabling each antenna to be close to a corresponding to-be-testedmobile intelligent terminal; controlling the antenna change-over switch to be in change-over connection with a corresponding antenna close to the mobile intelligent terminal; the mobile intelligent terminal transmits and receives a mobile network signal to and from the wireless comprehensive tester through the corresponding antenna which is close to the mobile intelligent terminal. Therefore, a mobile network performance detection result of the mobile intelligent terminal is obtained; the antennas connected with the antenna change-over switch can be changed over; the wireless comprehensive tester can test multiple mobile intelligent terminals at the same time, the use frequency of the wireless comprehensive tester is improved, the mobile network performance detection result of the mobileintelligent terminals can be obtained efficiently and accurately at low cost, and a reliable basis is provided for accurate valuation of the mobile intelligent terminals.