408results about How to "Improve regulatory efficiency" patented technology

The invention discloses a method for constructing a financial asset trading system based on an alliance chain. With an alliance chain as a technical support, a novel financial asset digital unique certificate is provided based on the existing laws and regulations. The system uses a distributed technology architecture. All participants jointly maintain the ledger of financial asset trading. It is ensured that the trading of financial assets is open, transparent, real and credible. The credit risk of trading is reduced. The cross-platform and cross-region flow of financial assets is promoted. Tedious manual account checking work between platforms is omitted. In addition, the block chain technology is applied to the field of financial asset trading for the first time. A unified and standardized financial asset trading platform is established. Digital management of financial assets is realized. The credit risk of trading can be prevented effectively. The efficiency of trading and supervising is improved. The trading cost is reduced.

The invention provides a peccancy parking prompt method and a system thereof. The method comprises the following steps that: after a vehicle is parked, a vehicle terminal acquires current parking position information according to a GPS signal and sends a parking service request containing the parking position information to a traffic management application system; the traffic management application system determines whether an action of the parking is peccancy according to the parking position information and a no-parking-area electronic map and sends the feedback information according to a determination result; the vehicle terminal prompts a vehicle owner whether a current parking position belongs to the no-parking area according to the feedback information. By using the peccancy parking prompt method and the system provided in the invention, automatic supervision of the peccancy parking can be realized. A lot of human and material resources can be saved. A supervision efficiency can be increased.

The invention discloses a mid-term air traffic conflict detection method based on 4D flight path and radar data, which relates to air traffic control automation. In the method, accurate 4D flight path data and real-time radar data are projected onto a display panel of an air traffic control system, each aircraft pair is filtered according to the accurate 4D flight path data and the real-time radar data, and aircrafts which are unlike to come into conflict with other aircrafts in 30 minutes are determined; and the detection is focused on the aircraft pairs which have potential to run into conflicts, the covariance between the relative speed and relative position of the aircraft pairs is calculated by using coordinate transformation according to the vertical interval and time interval of two aircrafts, and then the probability that a predicted position interval is smaller than a safe interval at time t is calculated and a detection report is made. In the invention, the drawbacks of long-term and short-term conflict detection are overcome, and the long-term conflict detection, mid-term conflict detection and short-term conflict detection are combined to ensure flight safety. The average conflict detection time is about 0.028 seconds, and the method has high real-time performance.

The invention provides an electricity stealing risk prediction method and device based on deep learning. A solution is provided for the problems that in a traditional electricity larceny prediction method, an electricity larceny user cannot be positioned due to the fact that a topological structure in a power distribution network is not known, and the electricity larceny prediction accuracy is lowdue to the fact that a non-efficient identification feature is used in the traditional electricity larceny prediction method. The prediction method comprises the following steps: firstly, predictingthe daily power consumption mode quantity of a user by utilizing daily historical power consumption information of a low-voltage user; secondly, according to analysis of power utilization factors of the users in nearly three days of the day, an analytic hierarchy process is adopted to calculate the abnormal rate of power utilization, and finally, based on K <->, the abnormal rate of power utilization is calculated. And the Means method is used for grading the electricity stealing. Technical effects of improving prediction accuracy and realizing electricity larceny grade division are achieved.

The invention is applicable to the technical field of block chain, and provides an electronic bill circulation system, which is applied in the block chain, comprising: a supervision node, an invoicingnode and a reimbursement node; A supervisory node, configured to manage access and authority of the invoicing node; An invoicing node, configured to issue an electronic bill in response to the invoicing request, and write the electronic bill into the current invoicing node and broadcast the whole network invoicing; The reimbursement node is used for receiving and verifying the electronic bill broadcast by the invoicing node, and performing reimbursement marking and network-wide reimbursement broadcasting on the verified electronic bill. The electronic bill circulation system of the inventionestablishes the life cycle of the electronic bill on the circulation ecological chain, The trusted authentication mechanism based on block chain and the multi-center chain dominated by supervisory node can improve the system security and reliability through diversified and open supervisory flow mode, and the operation and supervision cost is low, and the whole operation process is not prone to repetitive safeguard and other problems, and the supervision efficiency is high.

The invention discloses an elevator quality comprehensive evaluation method and system. The method comprises the steps of obtaining elevator inspection result data, elevator maintenance data, elevator failure data and elevator service data; comparing the data with set standard values, so that an elevator quality evaluation result is obtained according to the weighted value. According to the elevator quality comprehensive evaluation method and system, the inspection, maintenance, failure and service conditions of an elevator are integrated and subjected to weighted value calculation according to the importance degree, final comprehensive evaluation indexes are obtained, thereby elevator quality is determined, quality of the elevator can be known about and grasped from the source, the implementation basis is provided for supervision of elevator equipment, elevators which do not meet quality requirements are prevented from operating, thereby elevator safety accidents are prevented and reduced, an effective elevator quality control system is formed, supervision can be conducted conveniently, and supervision efficiency is improved.

The invention discloses a machine room inspection management system and method based on a block chain. The system comprises a user management module, a mechanism management module, an equipment management module, a duty plan management module, an inspection template management module, an inspection execution management module and a statistical analysis module. According to the system, the equipment asset information is recorded through the block chain network, a check entrance is provided for a superior management mechanism, transparent management of machine room equipment assets is achieved,and downward penetration type supervision of all levels is achieved. Inspection work specifications are designed by the head office, inspection work records of personnel in the machine room are all stored in the block chain and cannot be tampered and forged by the personnel, a reliable basis is provided for performance evaluation of the personnel in the machine room and accident responsibility investigation when necessary, and the problems that the inspection work quality is difficult to guarantee and the accident responsibility investigation is difficult are avoided. The system provides a unified service cooperation platform, maintains a unified data standard, and provides a basis for diversified data analysis and statistics.

Disclosed is a method for warning abnormal driving based on a reasonable driving range of intersection vehicles. Intersection vehicle trajectories are comprehensively analyzed based on historical surveillance video data by a hierarchical algorithm, an LCSS algorithm, or DTW algorithm to determine a reasonable vehicle trajectory range at an intersection in each flow direction, thereby realizing real-time warning of abnormal moving vehicles based on monitoring videos, efficiently judging illegal behaviors, knowing intersection anomalies in time, improving the efficiency of traffic management, strengthening the intensity of black spot control at the intersection, and providing a safe and smooth traffic environment for the intersection.

The invention discloses an agricultural product quality safety supervision system and method for APP. The system comprises a data server (1), a firewall (2), an APP intelligent terminal (3), a two-dimensional code printer (4) and a pesticide residue detector (5), wherein the data server (1) is connected with the APP intelligent terminal (3) through a mobile communication network; the APP intelligent terminal (3) establishes Bluetooth connection with the two-dimensional code printer (4) and the pesticide residue detector (5) by installing a Bluetooth adapter. Communication is established with the pesticide residue detector and the two-dimensional code printer through a wireless Bluetooth technology, pesticide residue detection information is uploaded in time, and tracing two-dimensional codes are printed, thereby realizing real-time dynamic supervision of agricultural product quality safety.

The invention discloses an unmanned aerial vehicle autonomous flight method for constructing a three-dimensional real scene based on LiDAR data. The unmanned aerial vehicle autonomous flight method comprises the steps of constructing an autonomous flight no-fly zone, carrying out route autonomous planning and flying, and autonomously performing route correction and obstacle avoidance, wherein theno-fly zone is in the three-dimensional real scene constructed on the basis of LiDAR point cloud data, and a flyable block and a no-fly block are divided by using an algorithm; the route autonomous planning flight is the process of combining differential GPS with the LiDAR data and autonomously planning the optical flight route of unmanned aerial vehicle electric power inspection according to a specified principle and realizing autonomous flying; and the route correction and obstacle avoidance regards a planned flight path and airborne radar data as judgment standards, conducts flight path correction on the situation that flight deviates from the flight path due to internal and external factors, and can realize autonomous original-path return can be achieved when necessary. The unmanned aerial vehicle autonomous flight method solves problems of large line patrol potential safety hazards, low line patrol efficiency and redundant personnel allocation of an existing unmanned aerial vehicle.

The invention provides a technical method for reducing air control automatic system short term conflict alarm false alarm rate, including the following procedures that: air position parameters of each aircraft are acquired by the navigation monitoring system and projected on a displaying plane of the air traffic control system; the position vector (Pi) and the speed vector(Vi) of the aircraft are acquired; the distance between a pair of aircrafts is calculated, if the distance is less than the short term conflict alarm threshold, following steps are carried out, otherwise aircrafts are considered to be under a safety condition; the position vector difference and the speed vector difference of a pair of aircrafts and the inner product of the position vector difference and the speed vector difference are calculated, if the inner product is less than 0, the conflict alarm is reported, otherwise the two aircrafts are considered have no conflict. The relation of the current ongoing flight and the flight position of the aircraft are comprehensively considered in the invention, thereby lowering the short term conflict alarm false alarm rate and improving the control efficiency of the control system.

The invention relates to an early warning prompting method and device for engineering quality monitoring, a storage medium and computing equipment. The early warning prompting method comprises the steps of obtaining video images captured by a camera; recognizing the video images so as to determine the operation process of constructors; comparing the operation process with the preset process; and determining whether to give out an early warning prompt or not according to a comparison result. According to the technical scheme provided by the invention, manpower resources can be saved while ensuring the engineering quality, and the engineering supervision efficiency is improved.

The invention discloses an automatic real-time supervision reporting system based on a double-chain architecture blockchain. The automatic real-time supervision reporting system comprises the following forming parts: a TBC/ABC double-chain architecture blockchain system, a supervision law and regulation library, and a supervision executing engine. The system is capable of using a TBC (Trading Blockchain) and ABC (Account Blockchain) double-chain architecture to respectively store trading information and account information, and using a TR (Trading Record) technology, realizing the high-concurrency high-speed automatic real-time supervision.

The invention discloses a fresh cold chain transportation commodity quality monitoring and early warning management system based on big data. The system comprises a detection time period division module, a temperature detection and processing module, a vibration speed acquisition module, an environmental microorganism detection module, a midway transfer parameter acquisition module, a commodity parameter database, an analysis cloud server, an early warning module and a display terminal. According to the invention, the temperature in the transport vehicle, the bumping vibration factor of the transport vehicle, and the transfer frequency parameter and the transfer environment parameter in the fresh cold-chain commodity transport and transfer process are combined for evaluating the comprehensive quality of the fresh commodities, and monitoring and early warning of the commodity quality in the fresh cold chain commodity transportation process are realized; meanwhile, the statistics of thecomprehensive quality coefficient of the fresh commodities realizes the quantification of the quality of the fresh commodities, so related personnel can intuitively know the quality condition of the fresh commodities in the transportation process, and a reference is provided for later commodity storage.

The invention relates to a system and method for monitoring an engineering project operation site. The system comprises an information collecting device, a local area network router and a background server. The information collecting device is connected with the local area network router in a wireless mode, collects project site video and picture information, device information and worker's body information, and sends the information to the local area network router. The local area network router is connected with the information collecting device and the background server, receives the project site video and picture information, the device information and the worker's body information sent by the information collecting device and sends the information to the background server. The background server is connected with the local area network router, receives the project site video and picture information, the device information and the worker's body information sent by the local area network router and performs checking and supervision. The human cost can be reduced, the goal of supervising the operation site is achieved, the supervision efficiency is improved, the safety of the operation site is guaranteed to the largest degree, and the potential risk is eliminated.

The invention relates to a crowd funding platform based on a block chain. The crowd funding platform comprises a platform node server, a financial supervision node server, a plurality of node servers,a platform management client, a project initiator client and an investor client; the platform management client, the project initiator client and the investor client are in communication connection with the platform node server; the platform node server, the financial supervision node server and the node server are in communication connection through a block chain network; the platform node server comprises a member management module, a project management module, an intelligent contract management module, a system management module and a revenue and expenditure management module; the platformmanagement client comprises a platform management client interface; the project initiator client comprise a project initiator client interface; and the investor client comprises an investor client interface. The invention further discloses a crowd funding method. The method comprises the steps of project application, platform auditing, publishing, funding by an investor, money use application byan initiator, supervision auditing, project execution and the like. The scheme of the crowd funding platform based on the block chain has the characteristics of high security, high supervision efficiency and the like.

The invention provides a multi-source heterogeneous water environment big data management system, and relates to the technical field of computers. The system comprises a water environment big data cleaning unit for cleaning water environment data, a water environment big data exchange unit for exchanging the cleaned water environment data, and a metadata management unit which is used for tracking and analyzing the water environment big data. On the one hand, by establishing the water environment data cleaning model, the cleaning process and the cleaning rule are provided, and the problem of conflicts during water environment data application is solved; on the other hand, a distributed technology is adopted at the center end of the data exchange platform, an NoSQL database and a relational database are supported, the type of stored data is effectively expanded, and the data reading and writing efficiency is improved; besides, by defining the metadata of the water environment big data, unified coding, management and retrieval of the metadata in the multi-source heterogeneous water environment management system are realized, and a metadata support is provided for the management system.

The invention relates to a security identity product quality tracing system based on the Internet. The system comprises a product information collection system used for performing product coding on a to-be-produced product, binding input product production information to a product code, and adding a code carrier carrying the product code to a produced product; a cloud database used for storing the input product production information and the product code; a mobile terminal used for scanning the code carrier and sending the product code in the code carrier to the cloud database to check the product production information; and a product information query system used for inspecting whether the product code sent by the mobile terminal is qualified and feeding back related events. According to the system, traceable information query of security identity products in usage by users and supervision departments can be realized, the users and the supervision departments can monitor the usage condition of the security identity products, the condition of illegal use such as extended service of the security identity products is avoided, and accidents caused by illegal usage are eliminated.

The invention relates to an aircraft tail vortex recognition method and system based on a convolutional neural network. The method comprises the following steps: receiving a to-be-identified aircrafttail vortex detection image, identifying the aircraft tail vortex detection image by using a pre-trained convolutional neural network model, and outputting to obtain a probability value of identifyinga tail vortex and a probability value of not identifying the tail vortex; and if the probability value of the identified trailing vortex is greater than the probability value of the unidentified trailing vortex, identifying that the trailing vortex exists in the to-be-identified aircraft trailing vortex detection image, otherwise, identifying that the to-be-identified aircraft trailing vortex detection image does not have the trailing vortex. The method is high in recognition accuracy, whether the tail vortex exists or not under the current meteorological condition can be detected in real time, necessary auxiliary information is provided for air traffic control personnel to send out a reasonable tail vortex avoiding instruction, the current tail vortex interval can be reduced, the airspace and airport capacity is improved, and then the control efficiency is improved.

The invention discloses a management and control system and a management and control method of a bank vault door. The system comprises vault device terminals, detection switches, signal acquiring devices, biological recognition devices, a server and a user terminal. On the one hand, the biological recognition devices are used for acquiring the information of the vault device terminals by the signal acquiring devices, and the server is used for integrating the different biological recognition devices so as to have communication with the remote user terminal, end-users can view the data; on the other hand, vault opening scheduling authorization is set by the end-users and is downloaded into the biological recognition devices by the server, and the door opening can be controlled by a management door. The system and the method have the remarkable effects that the informatization management of a bank vault and the authorization control of vault door opening are realized, so that the supervision efficiency is improved while the safety guarantee is obtained.

The invention relates to a guided mode resonance wave shifting device for scintillation detection. The guided mode resonance wave shifting device comprises a substrate layer and a luminous film layer arranged on the substrate layer, and also comprises a photonic crystal layer arranged on the luminous film layer, wherein the photonic crystal layer consists of dielectric cylinders arranged into a period array in a triangular structure; the dielectric cylinders are vertically arranged on the upper surface of the luminous film layer; the materials of the dielectric cylinders are transparent for the light emitted by the luminous film layer. Compared with the prior art, the guided mode resonance wave shifting device has the advantages that the conversion efficiency and the time distinguishing capability are high; high light emission direction regulation and control capability is also realized; the detection efficiency on scintillation fluorescence such as ultraviolet rays can be improved.