41 results about "Settlement risk" patented technology

The embodiment of the invention discloses an insurance fraud detection method and system. The detection method comprises the following steps: constructing a database according to preset data; establishing a corresponding risk rule engine base according to the preset risk rule and the database; receiving self-defined rule information set by a user, establishing a corresponding self-defined rule engine base; receiving suspicious case data uploaded by the user, and performing hiding processing on the case data, and feedbacking an uploading result to the user; performing rule operation on the processed case data, and feedbacking the operated risk level result and the corresponding case risk analysis report to the user. Through the detection method disclosed by the embodiment of the invention,the corresponding case data is operated by constructing the risk rule engine base and the self-defined rule engine base so as to obtain the risk level result and the risk analysis report of the case,the problems of high auto insurance claim settlement risk, high anti-fraud cost and low efficiency are solved, and then a technical effect of replacing the artificial investigation with the bit data distributed computing analysis is achieved.

The invention relates to a PS-InSAR technology-based historical settlement risk assessment method for surrounding environments along the subways. The method comprises the steps of employing N SAR images as input, registering all SAR images into a same mesh through an image registration method; selecting SAR images which are relatively small in time baseline and space baseline to generate an interferogram and removing an interferometric phase caused by topographic relief through a two-pass method; selecting candidate PS points (PSC) from the images, and compensating an error phase caused by an atmospheric change and an error phase caused by inaccurate orbit data by using information of the PSCs; and carrying out point-to-point analysis on all pixel points in the images by using the compensated phase information, identifying PS points again, and estimating deformation information and elevation error information thereof.

The invention discloses a method and server for obtaining an insurance claim settlement quota. The latest medical data corresponding to the last time an insurance user sees the doctor are obtained; historical medical data corresponding to a preset time length in which the insurance user sees the doctor are obtained; analyzing the obtained historical medical data, and determining a user claim settlement rule corresponding to the insurance user; and on the basis of the obtained latest medical data, according to the determined user claim settlement rule, a claim settlement quota corresponding to the insurance user is calculated, so that corresponding claim settlement is performed on the insurance user according to the claim settlement quota obtained by calculation. The method and server for obtaining the insurance claim settlement quota has the beneficial effect that the claim settlement amount of the insurance user is obtained according to the personal specific circumstance of the insurance user, the claim settlement risks are lowered, and the claim settlement amount is more targeted.

The embodiment of that present application provide a claim risk assessment method Devices and Servers, by utilizing a variety of behavioral data of the user to be estimated, the initial characteristicdata of the first quantity dimension is obtained by preprocessing, feature selection algorithm is used to filter the features, and the feature variables of the second quantity dimension are obtained,which are divided into the feature sets of the third quantity type, and then the feature variables of the feature sets of the third quantity type are calculated by machine learning algorithm, and thetarget compensation rate of the users to be estimated is determined. This shows, in predicting the claim risk of the user, taking into full consideration the influence of the parties of the users tobe evaluated on the claim settlement risk, thousands of input variables are obtained, which reduces the disturbance of individual input variables to the prediction results, and improves the accuracy and stability of the user claim risk assessment, so that the service personnel can conveniently specify reasonable and reliable insurance and claim settlement scheme for the users to be evaluated.

The invention provides a method, a device and a server for online claim settlement. The method comprises the following steps: when a login instruction of a user is received through a login interface,the identity information of the user being extracted from the login instruction; when the login instruction of the user is received through a login interface, the identity information of the user being extracted; when receiving the claim application request of the user, sending the identity information of the user to the medical system corresponding to the claim application request; receiving an electronic medical treatment certificate returned by the target medical treatment system according to the identity information of the user, and displaying the electronic medical treatment certificate to the user through a preset display interface; when receiving the confirmation instruction of the user for the electronic medical treatment certificate, the user's identity information and the electronic medical treatment certificate being correlated and sent to the target business protection system; receiving the claim result returned by the target business protection system according to the identity information of the user and the electronic medical certificate, and providing the claim result to the user through the preset result display interface. The invention can improve the efficiency ofthe user applying for claim settlement, and to a certain extent, the claim settlement risk of the commercial insurance company is reduced.

The invention relates to an automobile collision detection method based on active learning and may solve the technical problem that traditional vehicle collision detection techniques are of low accuracy. The automobile collision detection method based on active learning employs a vehicular terminal device installed on a vehicle; longitudinal, transverse and vertical triaxial accelerations X, Y and Z of a vehicle are monitored in real time through acceleration sensors; if any of the trial accelerations is greater than preset value A within predetermined continuous time T1, the vehicular terminal device uploads a collision report to a system platform for the purpose of further inquiry, wherein vehicle collision detection is performed based on the collision report uploaded by the device. The automobile collision detection method based on active learning employs a mathematical model to construct objective indicators for reflecting vehicle collision severities, corresponding collision detection rules are made based on these indicators, vehicle collision types are depicted, and accordingly, false report rate of the device is decreased and the claim settlement risk is effectively controlled for an insurance company.

The invention relates to a power purchase enterprise power market settlement verification system and method, belonging to the electric power technical field. The system includes data acquisition module, accounting data verification module, transaction power verification module, contract transfer transaction verification module, settlement power verification module, settlement power cost verification module, data verification and correction module and so on. The invention constructs a set of efficient and fast settlement management and control verification system and method, which effectively reduces settlement error, shortens settlement period, ensures fairness of transaction, improves settlement efficiency of electric power market transaction, reduces settlement risk, and is easy to popularize and use by controlling and verifying each link of settlement business chain.

The embodiment of the invention discloses a method for processing claim settlement, which is used for solving problems that the existing claim settlement risk control cannot be elaborated to every insurance policy and every insured and that the claim settlement risk control ability is insufficient. The method disclosed by the embodiment of the invention comprises the steps of obtaining a target claim settlement request; obtaining credit investigation data of the insured of an insurance policy corresponding to the target claim settlement request; obtaining the claim payment amount of the insurance policy corresponding to the target claim settlement request; selecting a target risk control rule from preset risk control rules according to the credit investigation data and the claim payment amount; and processing the target claim settlement request according to the target risk control rule to obtain a claim settlement processing result. The embodiment of the invention further provides a device for processing the claim settlement.

The invention discloses a subway construction surface subsidence early warning method based on case-based reasoning and system dynamics. According to the adopted technical scheme, the method comprisesthe steps of constructing a case library based on domain knowledge; performing similarity retrieval based on case reasoning; risk association mining of case-based reasoning and establishment of a system dynamics model are established; and establishing a risk early warning model of the surface subsidence. The method has the beneficial effects that the reliable risk decision basis is obtained by optimizing the search case library, and the effective prediction and early warning can be carried out on the subway construction ground surface settlement risk.

The invention relates to a vehicle insurance claim settlement risk management and control method and system, electronic equipment and a medium. The vehicle insurance claim settlement risk management and control method comprises the steps of monitoring event information, managing a composite event and processing the composite event. The step of monitoring event information comprises atomic event capturing; the step of managing a composite event comprises a maintenance basic event, a maintenance composite event, and an analysis result obtained by analyzing the maintained basic event and composite event; the step of processing the composite event comprises: preprocessing the atomic event according to the grabbed atomic event; processing the composite event according to the preprocessed atomic event and the analysis result to obtain a processing result; The step of monitoring event information further comprises the step of feeding back an operation guide according to the processing result; event information monitoring and composite event processing are carried out in a Storm real-time calculation mode. According to the method, the most suspicious claim settlement behavior and fraud leakage can be effectively discriminated, various risk types can be identified, and the risk of the case can be upgraded.

The invention provides an engineering order settlement method and system based on block chain data storage, and the method comprises the steps: extracting structured data and unstructured data in an engineering order, and generating a block chain node for the engineering order; extracting feature data corresponding to the type of the non-structural data, and storing the feature data into a block chain node based on a link evidence storage mode; extracting an order object and an order type involved in the engineering order according to the structured data, generating a smart contract, and storing the smart contract and the structured data in a block chain node based on a content evidence storage mode; and when an engineering order settlement request is received, performing settlement of the engineering order according to the stored smart contract. The characteristics of decentralization and tampering incapability of the block chain technology are utilized, the defect that settlement records of different electric power companies are tampered at any time is overcome, the settlement risk is reduced, different data processing and uplink modes are adopted, and the storage space of unstructured data on the block chain is saved.

The embodiment of the invention discloses a claim settlement risk control method, a device, a computer device and a storage medium. The invention is applied in the field of the combination of big dataand artificial intelligence, and is an intelligent prediction based on big data analysis. The method comprises the following steps: obtaining a risk factor of a claim settlement case; determining evaluation information of the risk factors according to a preset risk database; the fuzzy theory is used to obtain the membership function of the evaluation information for normalizing treatment so as toobtain the basic probability distribution; and fusing the basic probability assignment according to a combination rule to obtain a risk factor risk control conclusion. By implementing the method of the embodiment of the invention, the risk control accuracy of the claim settlement case can be improved, the controllability of the risk control cost can be improved, and the insurance service qualitycan be improved.

The invention discloses a foundation pit group engineering zoning scheme evaluation method based on environmental risk loss. The method is characterized in that through estimating numerical values of the settlement risk loss index Sci and the unloading volume risk loss index Svi of a single foundation pit for a plurality of zoning schemes, the comprehensive loss index Si for each single foundation pit is obtained, summation is carried out on the Si to obtain the comprehensive loss index S of each zoning scheme, and the zoning scheme with the minimum S numerical value is the optimal zoning scheme which least influences the environment by foundation pit safety and control unloading. In comparison with the prior art, the evaluation method of the invention is scientific and simple, the rationality of a complex foundation pit group engineering zoning scheme is scientifically analyzed, advantages and disadvantages of each zoning scheme are compared, the optimal zoning design scheme is obtained, and a reasonable management goal is built for monitoring and dynamic management on the complex working condition of a super large volume of group pits.

A system for automated clearing and settlement of risk management transactions on an automated system used by a plurality of users provides electronic interaction between buyers and sellers and enables parties to make decisions concerning reinsurance products. The clearing system enables the transfer of premium and loss payments directly between risk-bearers or via brokers representing these risk-bearers.

The invention relates to an electricity selling company retail market risk monitoring, prevention and control early warning method, and belongs to the technical field of electricity selling settlement risk monitoring. According to the method, the historical electricity consumption data of the users of the electricity selling company is automatically obtained, the random fractal intelligent search algorithm is used for performing hyper-parameter optimization on the deep learning model, then the monthly transaction capability of the electricity selling company is predicted based on the model, and an effective reference is provided for accurate control of the retail transaction prediction capability of the electricity selling company. Meanwhile, based on the predicted retail transaction capability, a current retail electricity market wholesale price difference calculation mode is considered, an adaptive refined day-by-day transaction risk grading early warning prevention and control mode is provided, linkage with electricity consumption values is carried out, corresponding early warning levels and early warning measures are automatically matched, an early warning reference is provided for risk management of power grid enterprises, and the risk management efficiency of the power grid enterprises is improved. Operation settlement risks of power grid companies can be effectively prevented and controlled, market operation efficiency is optimized, and stable and orderly development of multiple market subjects in the retail power market is guaranteed.

The invention discloses a claim settlement method based on a knowledge graph. The method comprises the following steps: collecting historical claim settlement data and establishing a claim settlement data set; performing data classification processing by adopting a preset classification model according to the claim settlement data set to generate classification information; establishing a claim knowledge graph according to the classification information; obtaining claim settlement accident information, and extracting corresponding target claim settlement data in the claim settlement knowledge graph according to keywords in the claim settlement accident information; and generating and sending a claim decision scheme according to the target claim data and a preset rule. The method relates to the technical field of claim. The invention further discloses a claim settlement system based on the knowledge graph. The method and the system have the advantages that the knowledge graph and the claim settlement piece are combined, the accuracy of the insurance checking process is improved, the cost is effectively reduced, the overall operation efficiency is improved, and the claim settlement risk is reduced.

The invention provides a commercial insurance direct compensation quick compensation system based on a block chain, which comprises a blockchain platform-based login module, an insurance module and amedical module; the login module is used for providing a user login interface and an access interface; the insurance module comprises a creation unit, an application unit, a verification unit and a payment unit which are respectively used for creating and generating an insurance policy, applying for compensation, comparing and verifying compensation information and performing compensation payment;wherein the blockchain platform comprises an intelligent contract, a data layer and a plurality of nodes, the insurance module and the medical module upload insurance information and medical information through the intelligent contract, the data layer is used for storing various records, and the plurality of nodes are used for connecting the modules; according to the system and the method, the compensation can be directly applied and handled on the internet, the compensation efficiency is improved, the claim settlement risk of an insurance institution is reduced, the compensation period is shortened, and the time cost is saved.

The invention relates to the field of artificial intelligence, and discloses an insurance policy claim risk assessment method, which comprises the steps of obtaining a claim insurance policy which comprises an insurance policy picture and an insurance policy text; inputting the insurance policy picture into a picture detection model so as to detect a target region of the insurance policy picture through a region detection network in the picture detection model, identifying a region category of the target region by using a region classification network in the picture detection model, extracting structured information of the target region, taking the region category and the structured information as picture features of the insurance policy picture; extracting text features of the insurance policy text by using a text semantic recognition model; and respectively calculating index scores of the picture features and the text features by using an insurance policy risk score table so as to calculate a risk score of the claim insurance policy, and determining a risk level of the claim insurance policy according to the risk score. In addition, the invention also relates to a block chain technology, and the claim settlement insurance policy can be stored in a block chain. The risk control accuracy of insurance policy claim settlement can be improved.