132results about How to "Reduce business risk" patented technology

A method for building a big data risk model for electricity charges, involving a risk control method. At present, the payment of electricity bills is carried out in a uniform frequency and in a unified way; on the one hand, there are problems of excessive calls and frequency, and on the other hand, there is a problem that payment cannot meet the target. The invention includes the following steps: 1) data preparation, 2) index system construction, 3) correlation analysis, 4) model construction, 5) model output, and 6) electricity charge risk difference processing. This technical solution focuses on high-risk users and improves the pertinence of reminders. For low-risk users, it is possible to appropriately reduce reminders and notifications, reduce the frequency of reminders, and give priority to the promotion of electronic bills; focus on collection work for high-risk users and increase the frequency of reminders; effectively optimize and concentrate resources to increase the success rate of collections .

The invention discloses a cross-border payment rapid settling method based on credit big data. Based on the historical transaction big data accumulated on e-commerce platforms by merchants, commodities and users, the method carries out estimation to the transaction risks using the artificial intelligence method. For the transactions whose estimated risks are low, a third-party is used to pay in advance so that the capital settlement is made in advance to the domestic accounts of merchants. This avoids the complicated and tedious procedures of a regular settling mode requiring the transaction completion by the users, e-commerce platform financial period completion, e-commerce settlement to a third party and third-party clearance via banks until to the domestic accounts of merchants. Therefore, under the condition that the pre-paid risk is controlled, the cross-border capital settling procedure for the merchants is simplified, the third-party payment and settlement efficiency is increased; and the capital can be transferred among accounts in shorter time. Therefore, the capital cycling efficiency is increased; the risk change risk incurred from an excessively regular long settlement period is reduced, and the operation risks of the merchants are reduced.

The invention relates to a self-service check-in management system and method for hotels, which can simplify the check-in procedure, shortens the investment recovery period of the hotels, reduces the operating risk, reduces service staff of a main station, and reduces the operating cost of the hotels. In the process that the system imports the application, the identity authentication of a guest, settlement of articles consumed by the guest and check-out are relatively processed, and the measures basically meet the requirements of the public security sector for hotel management.

The present invention relates to a platform and a usage method thereof, concretely to a public service platform and a usage method thereof. The platform comprises a terminal and a cloud server; the terminal includes a PC terminal and a mobile terminal, wherein the PC terminal and the mobile terminal form a presentation layer; the cloud server includes a logic layer and a data layer; and the data layer, the logic layer and the representation layer form the whole framework of the public service platform, and the whole framework of the public service platform includes two processes of content publishing and order processing. The present invention provides a product display and selling mode similar to a traditional supermarket, and divide a large-scale application business flow management software implementation process with long period, high cost and big risk into a gradually advanced iterative implementation process with short period, low cost and small risk; and moreover, through providing a service platform, the normalized flow correlation product selling, the standardized requirement customization service, standardized order processing and the pre-sales and after-sales service flows, the problem of the traditional offline implementation service of the BPM industrial field is solved, and the cost and risk of supplying to both parties are reduced.

The invention discloses a method for comprehensive credit rating of electric power customers based on data mining, which includes step 1: data collection; step 2: preprocessing the data, extracting relevant data factors and reducing dimensionality; step 3: reducing The time-series statistical factors, kernel distribution factors, and multi-dimensional operation factors in the post-dimensional data factors are automatically extracted, combined and changed, and constructed into new data factors; Step 4: sort out customer-related characteristics, and predict and judge customer behavior in the future; Step 5 : Sort out the three-level indicators of customers, calculate credit scores, and divide credit ratings; solve the lack of marketing professional definitions in the naming and definition of user characteristics in the existing technology credit evaluation system, the calculation method is opaque, and the characteristics are too few to truly reflect the various unique behaviors of users. There is a lack of user characteristics to calculate future trends, and the user boundary is too vague to be integrated into the marketing business, so there is little guidance for the marketing department and other technical problems.

The application provides a method and device for service achievement. The method comprises the steps that a service request is received, wherein the service request carries a face image of a service requester; the matching degree between the face image and each real face image in a face image base is computed; when the matching degree between the face image carried in the service request and a real face image in the face image base reaches a first threshold, related services can be completed based on a service account corresponding to the real face image; when the matching degree between the face image carried in the service request and any real face image in the face image base does not reach the first threshold, but the matching degree between the image and one or multiple real face images reaches a second threshold, one or more real signatures corresponding to the one or multiple real face images in the face image base would be acquired; and the handwriting of a signature input by the service request is matched with the handwriting of an acquired real signature, the related services can be completed based on the service account corresponding to the real signature.

The embodiment of the invention is applicable to the business process optimization in the field of operation and maintenance, and discloses a business processing method based on a block chain and a related device. The method comprises the following steps that a first business server sends an audit data acquisition request to at least one audit data accounting node in a block chain system; the first service server determines the reliable qualification audit data of the target enterprise from the received qualification audit data of the target enterprise returned by the at least one audit data accounting node; the first service server inputs the reliable qualification audit data into a preset qualification audit model, and a qualification audit result for the target enterprise is obtained based on the output of the qualification audit model; and the first service server generates a service receipt for the target enterprise under the condition that the qualification auditing result is that auditing passes. According to the invention, the risk that the first business server performs tax payment guarantee on the target enterprise can be reduced, and the business processing efficiency is improved.

The invention relates to a management system for automobile leasing and renting information. The management system comprises a server and further comprises a mobile terminal, a database, an external interface, an input module and an output module which are connected with the server, wherein the server is used for receiving and processing various instructions; the mobile terminal is arranged on an automobile terminal and is used for sending automobile state information and instruction to the server; the database is used for storing various information in the management system for the automobile leasing and renting information; the external interface is in communication connection with other databases; and the input module is used for receiving an input information instruction of a user, and the output module is used for outputting a processing result of the server. When the management system is used, the identity information of the user is identified by the input module, and then the identity information is compared with the information in the database through the server, so that a leasing company can judge whether the automobile is rented or not. Meanwhile, the management system also has the functions of blacklist warning, one-certificate multi-renting, resource sharing, and the like.

The invention relates to the technical field of medical appliances, in particular to a manufacturing method of a safe transfusion system based on a bubbling point pressure principle. The method of the invention is based on the bubbling point pressure principle, a liquor filtering medium which can block air from crossing a liquor filtering membrane to enter the pipeline of the transfusion system is selected, and the safety performance of automatically stopping the transfusion of the liquor by using the characteristics of the liquor filtering medium to prevent the air from entering the pipeline when the transfusion system is empty is achieved. On the basis, an exhaust tube penetrating into the inner chamber of a drop bucket is arranged in the drop bucket, and the exhaust tube is mainly characterized in that a filtering medium which exhausts air but does not discharge the liquor is arranged at the penetrating end of the exhaust tube, so that the transfusion system combined with the bubbling point principle can safely realize automatic exhaust truly, and achieve the effects of efficient and safe automatic exhaust and air separation.

The invention relates to a method for removing boron and phosphorus during the production of polysilicon with the improved siemens process, belonging to the filed of the production of polysilicon and aiming at providing a method for removing boron and phosphorus during the production of polysilicon with the improved siemens process with low cost and a method for producing trichlorosilane with low cost. The method for removing boron and phosphorus during the production of polysilicon with the improved siemens process comprises the following steps: a, making silicon powder react with hydrogen chloride to generate trichlorosilane synthesis gas, and dedusting the trichlorosilane synthesis gas with dry method; b, making the dedusted trichlorosilane synthesis gas fully react with moisture, and spraying or leading the generated gas into silicon tetrachloride liquid to generate liquid phase 1 and gas phase 1; and c, putting the gas phase 1 in a separator, washing and separating the gas phase 1 with the silicon tetrachloride liquid to obtain the purified trichlorosilane synthesis gas and liquid phase 2. The invention saves the cost of the investment on equipment in the polysilicon plant and provides a novel method for removing boron, phosphorus and other impurities with the improved siemens process.

The invention relates to an electric power customer credit comprehensive evaluation method based on the grey relational degree, and belongs to the field of electric power analysis. The new electric power customer credit evaluation indexes including big customer direct-purchase electricity contract breach electric quantity ratio and the new energy power generation grid connection quantity are taken into consideration, and an electric power customer credit rating evaluation index system is established in the seven aspects of electricity utilization payment credit, the electric power law and regulation credit, the electric power cooperation credit, the operation capacity credit, the social communication credit, the mortgage credit guarantee and development prospect credit of the electric power customers. Three evaluation methods with different attributes including a layer analysis method, an entropy weight method and a neural network method are integrated, combined weight is adopted, linear combination coefficients are determined by minimizing the deviation between single evaluation weights and combination weights, the potential information of an evaluated object is fully extracted, and the one-sidedness of a single evaluation method is avoided. Compared with the prior art, the electric power customer credit comprehensive evaluation method based on the grey relational degree has the advantages that a grey relational degree analysis method is adopted, operation is easy, efficiency is high, and the quantity of needed data is small.

The invention discloses a soft PU foamed plastic. The soft PU foamed plastic is obtained after foaming 50-90 parts by weight of plant oil polyether polyol, 10-50 parts of petroleum polyether polyol, 40-60 parts of toluene diisocyanate and 1-3 parts of an assistant. The use of the plant oil modified polymer polyol in the invention effectively reduces the dependence on the petroleum polyether polyol in the production process, reduces the operation risk of an enterprise, and complies with people's requirements on the environmental protection and low carbon at the present stage. The PU foamed plastic can be widely applied to the industries of clothes, household articles, furniture, shoes and caps, cases and bags, and the like.

The present invention discloses a service distribution control method, apparatus and device, and a storage medium. The service distribution control method comprises the following steps: when receivinga service access request, determining a service server according to the service identifier information in the service access request, and calculating a random number of the service access request through a preset script; determining whether an access object of the service access request is the service server or a server cluster; if the access object is the service server, distributing the serviceaccess request to the service server; and if the access object is the server cluster, distributing the service access request to the server cluster. According to the technical scheme of the present invention, the load of the server cluster can be effectively reduced, and through dynamic distribution of the functional service, service risks caused by the split and deployment of the functional service can be reduced.

Based on a variable-frequency reviewing training learning system and method and a business model which have functions of variable-frequency reviewing reminding, multi-version resources, timing for single question, knowledge evaluation, real-time checking evaluation, personalized intelligent test paper composition, automatic scrolling display and the like, technique deficiencies of an existing education training learning software can be overcome. The variable-frequency reviewing training learning system and method and the business model can help users firmly memorize learning content economically and reasonably in manners of less repeating time and shorter learning time, greatly improve academic records, and acquire better learning training results, so that the education training service provider has the technique ability to ensure that the users achieve learning training purposes to the largest extent, and construct the business model that the service provider charges according to effects, and if the training effect is not achieved, tuition fee can be returned, and learning and training cost of users can be compensated for.

The embodiment of the present invention discloses a business occurrence amount prediction method, apparatus and device. The method comprises the steps of: performing discretization processing of historical business data prior to a predetermined time period to obtain time granularity business occurrence amount vectors; generating business occurrence amount distribution feature vectors according tothe business occurrence amount of continuous time in the historical business data; and finally, determining a business occurrence amount in a determined time period according to the time granularity business occurrence amount vectors and the business occurrence amount distribution feature vectors.

The invention discloses an energy conservation potential evaluation method for power grid contract energy management projects. Firstly, a typical energy conservation scheme library including operation parameters of all power grid devices in the contract energy management projects is built; then, each power parameter of each power grid device in a to-be-reformed project is acquired; according to the each power parameter during operation of each power grid device, initial selection is carried out on each power grid device, power grid devices with energy conservation potentials are selected, a power grid with a large energy conservation potential is selected to be substituted to the typical energy conservation scheme library, and an energy conservation quantitative diagnosis model is generated; and finally, according to the energy conservation quantitative diagnosis model, energy conservation benefit comprehensive analysis is carried out on the power grid devices, and a project with a large energy conservation potential is selected as the energy conservation prophase project. The method of the invention can be applied to various change conditions of an energy consumption unit, an energy conservation potential evaluation result can be given more quickly and reasonably, and the service risks of an energy conservation service company are reduced.

The invention relates to the technical field of medical devices, in particular to a safety infusion set with improved exhaust from a dropping funnel. The technical scheme of the present invention is based on the principle of gravity and the specific gravity of the liquid is greater than the specific gravity of the air. At the bottom of the dripping funnel or using the supporting bracket of the liquid medicine filter medium, a gas-liquid gas-liquid system is constructed to allow the liquid entering the dripping funnel to travel from bottom to top. Flow channel, so as to improve and overcome the defect that the liquid medicine filter medium with a certain bubble point value that can block the passage of air cannot discharge the air hidden in the gap at the bottom of the dropping funnel during application, so that the safety infusion set that claims to separate the air with the bubble point performance Realize the safety performance in the true sense.

The invention belongs to the field of environmental protection and particularly relates to a resource utilization method of agricultural and forestry wastes. The method provided by the invention comprises the following steps: (a) carrying out pyrolysis and gasification on the agricultural and forestry wastes to obtain to-be-purified fuel gas and biochar; (b) leaching the to-be-purified fuel gas with water to obtain purified fuel gas and leaching waste liquid, wherein the leaching waste fluid contains wood tar and wood vinegar; (c) carrying out mixing granulation on base fertilizer, the biocharand the leaching waste liquid and then drying to obtain carbon base fertilizer particles. The scheme provided by the invention has the advantages that the wood tar and wood vinegar liquid do not needto be separated; the production process is greatly simplified, and the process flow is simpler and has higher economic feasibility; meanwhile, final products are carbon base fertilizer and the fuel gas only, are single and have a definite market application direction; in addition, all the leaching waste liquid is used for producing the carbon base fertilizer; no discharge sewage is produced and asewage treatment system does need to be built.

The invention relates to a raw material asphalt for a carbon-based new material and a production process thereof. The production process comprises the following steps of: feeding a residual product obtained by removing light oil from raw material oil through a reduced pressure distillation tower into a polymerization reaction kettle, and carrying out pressurized asphalting reaction to obtain polymerized asphalt; settling and separating the polymerized asphalt and a solvent I to obtain aromatic-rich light oil and aromatic-rich heavy oil; mixing and separating the aromatic-rich heavy oil and thesolvent I to obtain a soluble component and an insoluble component; carrying out reduced pressure distillation on the aromatic-rich light oil and the soluble component to obtain light refined asphalt; carrying out hydrogenation reaction on the light refined asphalt and a hydrogen supply reagent to obtain hydrogenated asphalt, and further acquiring refined hydrogenated asphalt; mixing and separating the insoluble component, the solvent I and a solvent II to obtain filtrate and filter residue; and distilling the filtrate under reduced pressure to obtain heavy refined asphalt. The process is used for preparing the high-quality asphalt raw material which is narrow in molecular weight distribution, moderate in molecular weight, highly ordered in molecular arrangement, good in flowability, excellent in aggregation state structure and stable in thermal reaction activity.

The invention provides an NFC management method and system for a safety helmet of a shared electric vehicle. The system comprises a safety helmet embedded with an NFC electronic tag, a storage box anda vehicle lock device. An NFC control module, a first driving module, a storage box locking mechanism and an antenna are arranged in the storage box; the safety helmet is fixedly placed in the storage box; the vehicle lock device comprises a main control module, and the main control module is used for correspondingly sending an unlocking / locking instruction according to a received unlocking / locking request signal; the NFC control module is in signal connection with the NFC electronic tag through an antenna, and is used for receiving the unlocking / locking instruction sent by the main control module, reading identification information of the NFC electronic tag, and sending unlocking / locking feedback information when the identification of the NFC electronic tag is correctly associated; and the first driving module receives the unlocking / locking feedback information to control the opening / closing of the storage box locking mechanism. According to the invention, the loss risk of the safetyhelmet of the shared electric vehicle can be effectively reduced, and the safety helmet is properly stored.

The invention discloses a control method for active forewarnings and automatic business failure positioning. The method comprises the following steps: S1, preliminarily creating and configuring different types of knowledge bases according to different types of business systems; S2, selecting a monitoring mode according to business distribution and deployment situations; S3, establishing a monitoring platform according to an actual environment, and configuring various monitoring types; S4, creating regular business system safety scanning, and carrying out automatic matching between scanning results and forewarnings; and S5, when a failure occurs, carrying out comparison, screening and merging in the knowledge bases through a trigger forewarning notice, so that effective automatic failure positioning can be achieved. The control method for the active forewarnings and the automatic business failure positioning provided by the invention has the advantages that a complete set of model for the operation and maintenance forewarnings and the quick and automatic failure positioning can be established, so that the comprehensive operation capabilities of the business systems can be improved,and business risks can be effectively reduced.

The invention discloses a method for predicting the symptom appearance rate of severity of the sweet potato virus disease in the nursery stage. The method comprises the following steps: randomly extracting a sweet potato seed sample before breeding sweet potatoes; extracting total DNA and total RNA of the sweet potato seed sample, and detecting the virus situation carried by the sweet potato seedsrespectively by adopting PCR and RT-PCR methods; and predicting the symptom appearance rate and severity of the sweet potato virus disease in the nursery stage according to the type of the virus carried by the sweet potato seeds and the virus carrying rate of the sweet potato seeds. The prediction method is obtained through massive field tests, and is reliable since the actual result is close tothe predicted value through sweet potato breeding verification, is applicable to existing sweet potato varieties on the market, especially commercial sweet potatoes 19, can be used for early accurately predicting the risk of nursery stage diseases in the storage stage of sweet potato seeds, and provides early warning to the occurrence risk of sweet potato virus disease. The method can be used foreffectively reducing the business risk of sweet potato seeds and seedling enterprises and economic loss of sweet potato farmers, and has an important meaning for increasing the pre-warning and prevention and control level of the sweet potato virus disease in China.

One or more embodiments of the invention relate to a risk determination method and device, and an electronic device. The method comprises the steps of obtaining a plurality of scene sample features and a plurality of user sample features; inputting the plurality of scene sample features and the plurality of user sample features into a multi-task learning algorithm, and training to obtain a generalrisk evaluation model; obtaining a target scene feature and a target user feature of the target service scene, taking the target scene feature and the target user feature as input of the general riskevaluation model, and training to obtain a target risk evaluation model; obtaining a to-be-evaluated user operation in the target service scene; and outputting a risk determination result of the to-be-evaluated user operation based on the target risk evaluation model.

The invention discloses a supplier default risk prediction method. The supplier default risk prediction method provided by the invention comprises the following steps: constructing a supplier knowledge graph by using a knowledge graph technology, restoring partial missing information in the knowledge graph with time sequence characteristics by using a knowledge graph prediction link technology, comprehensively considering cross-domain data, and predicting the supplier default risk by adopting the neural network. Compared with a single-domain data prediction mode using historical sales volume or user feedback evaluation and the like in traditional supplier default risk prediction, the supplier supply risk in the prediction period can be effectively judged, and the method is helpful for analyzing the selection of future suppliers and ensuring the safe operation of a supply chain, and reduces the operation risk of an enterprise.

The embodiment of the invention discloses a data sharing method based on a block chain. The method comprises the following steps: writing encrypted service data uploaded by each service server into analliance chain; and according to the query request, decrypting the found target service data, and issuing the decrypted target service data to a corresponding service server. Since the uploaded service data is encrypted, the queried target service data needs to be decrypted and then sent to the corresponding service server and the alliance chain belongs to a block chain and has the characteristics of tamper-proofing, traceability and high security, the safety of the uploaded business data can be ensured, and the business server for inquiring the target business data cannot acquire which business server the target business data belongs to for uploading, so that the business data can be shared under the condition that the business confidentiality is not leaked; and corresponding risk management can be carried out according to the queried target service data, so that the service risk can be effectively reduced.

The invention relates to a remote auditing system and method based on multi-angle real-time image monitoring, and the system comprises multi-angle camera units which are disposed on intelligent self-service counters of all bank outlets, and are used for carrying out the business processing of a client, and obtaining multi-angle video data; a video front server which is connected with the multi-angle camera shooting unit of the banking outlet and used for receiving the multi-angle video stream acquired by the multi-angle camera shooting unit of the banking outlet; a video processing center which is connected with the video front server of each bank outlet and is used for converging, processing and storing the multi-angle video streams of each bank outlet; and a remote auditing terminal which is connected with the video processing center and is used for acquiring the video processed by the video processing center and retrieving and auditing video data acquired by a certain intelligent self-service counter of a specified bank outlet in real time. Compared with the prior art, the invention has the advantages of reducing business risks, saving human resources and the like.

The invention provides a drug auditing method in the field of drug auditing. The drug auditing method comprises the following steps: S10, creating a drug auditing management platform; S20, acquiring drug data by using the drug audit management platform; S30, inputting a drug directory based on the drug audit management platform; S40, establishing a monitoring plan of drug purchase, drug accounts,drug prices and drug inventory based on the drug audit management platform; and S50, auditing the acquired drug data according to the drug directory and the monitoring plan. The method has the advantage that the timeliness and efficiency of drug auditing are greatly improved.

The invention discloses a resume record management method and device based on a block chain and a medium. The method comprises the following steps of deploying a first smart contract on each node corresponding to the block chain storing personal file data, wherein the triggering condition of the first smart contract is that an information auditing request sent by an enterprise is detected andthe enterprise identity information of the enterprise passes the verification, and the information auditing request comprises the enterprise identity information, the resume information of a job seeker andthe personal identity information of the job seeker; when contract execution is set in the first smart contract, determining whether the record information and / or the personal identity information are / is true or not according to personal archive data in the block chain; and correspondingly storing a confirmation result and the enterprise identity information, and writing the confirmation result and the enterprise identity information into a block. According to the invention, a resume can be accurately identified, so that the operation risk and the labor cost of enterprises are reduced.