24results about How to "Reliable service" patented technology

The invention discloses a yellow page number analysis control method and device based on deep learning, and the method is characterized in that the method comprises the steps: obtaining call behavior data of a yellow page number library; inputting the call behavior data into the optimized number judgment model, and obtaining a yellow page number stability result through a gradient boosting tree algorithm; and dynamically adjusting the execution of the maintenance strategy of the yellow page number based on the stability result of the yellow page number. The yellow page number stability can be accurately analyzed, the number library data quality can be improved, unstable numbers can be timely found and classified, more reliable services can be provided for users, the cost can be reduced, and the management efficiency can be improved.

The invention discloses a holographic intelligent building energy-saving operation and maintenance management system based on a BIM model, and particularly relates to the technical field of data transmission, and the system comprises a building information model building module, a real-time information collection module, a holographic image module, an analysis module, a quality judgment module and an encryption module. The building information model establishing module is used for establishing a BIM model; the real-time information acquisition module collects data and transmits the data to the holographic image module; the holographic image module generates a dynamic holographic image; the analysis module monitors and preliminarily analyzes the data transmission quality; the quality judgment module calculates a delay kurtosis index and a packet loss probability skewness index and generates a data comprehensive quality coefficient; the encryption module is used for determining a confidentiality level and encrypting data; according to the invention, the timeliness and reliability of the data are ensured, the high expectation of a user is met, the stable and reliable service is ensured to be provided by real-time monitoring and dynamic encryption, and the balance relationship between the real-time performance and the reliability of data transmission is better established.

This invention discloses a corona-resistant insulating varnish for enameled wire and its preparation method, belonging to the technical field of insulating coatings. The raw materials for preparing the corona-resistant insulating varnish for enameled wire include aromatic tricarboxylic anhydride, aromatic diisocyanate, and hydroxyl-modified composite nanoparticles; the hydroxyl-modified composite nanoparticles comprise silica nanoparticles and layered double hydroxides. This invention significantly increases the hydroxyl modification density by introducing layered double hydroxides and silica composites, enabling the composite particles to be covalently anchored to the prepolymer backbone through esterification, resulting in uniform release after curing. This achieves a balance between storage stability and curing uniformity, making it suitable for enameled wire applications in high-voltage motors.

The invention discloses an exhibition hall exhibition customer guiding device and system, and the device comprises an information center, an electronic guide system, a physical identifier, a tour guide service, and a volunteer assist, the information center is arranged near the entrance and exit of an exhibition hall or an exhibition, and the electronic guide system is arranged on the exhibition hall or an exhibition hall site. The physical identification is arranged in an exhibition hall or an exhibition. The customer guiding device has the beneficial effects that the customer guiding device can quickly and accurately help customers to find required information or services, so that the time for the customers to lingering in shopping malls or public places is shortened; through real-time information updating and personalized recommendation, customers can more easily find favorite exhibition stands or product activities, so that the shopping experience is improved.

The application range of the invention comprises but is not limited to the field of rail transit, and discloses a design method structure for fully exerting the transportation capacity of a rail transit line, an original first rail line is abstracted into a line segment, and two ends are respectively set as a point A and a point B as starting and ending points of a new line; the second track line is abstracted into a rectangle, one station C point is selected as a starting and ending point of a new line, the station C is opposite to two starting and ending points A and B of the original first track line, each station C is provided with two optional lines, and the four lines are arranged and combined to form four modes. According to the method, the transport capacity of all stations of the original second track line can be fully exerted, operation management is flexible, the difficulty is controllable, the maximum transport capacity can be achieved by increasing a small number of personnel, the transformation cost is minimized, and the method has huge economic value and social value.

Embodiments of the present disclosure relate to the technical field of mobile communications, and provide a signal processing method and apparatus, an electronic device, and a storage medium. The signal processing method is applied to an access point device, and the method comprises: sending a target radio frame, the target radio frame comprising a restricted target wake time (rTWT) element and a quiet element corresponding to the rTWT element. The embodiments of the present disclosure provide information related to the rTWT information element, so as to meet low-latency transmission requirements.

This invention discloses a heterogeneous hybrid expert large model architecture and alignment method for high-concurrency online medical dialogue. First, the method proposes a dual-pool heterogeneous routing strategy of "4 general experts + 2 departmental experts." Through physically isolated parallel routing channels, it forces the model to simultaneously activate general language capabilities and specialized medical reasoning when processing input, fundamentally ensuring the focus and professionalism of responses. Second, it adopts a structural evolution strategy based on parameter expansion and selective freezing. By completely freezing the pre-trained basic parameters and training only newly added departmental experts, it completely eliminates catastrophic forgetting. Finally, in the model alignment stage, it employs the Group Relative Policy Optimization (GRPO) algorithm for valueless models to reduce memory overhead and designs a dual-track hybrid reward function combining low-level semantic similarity rewards and high-level structured large model referee scoring, effectively solving the "reward hacking" problem and guiding the model to generate refined responses that combine clinical accuracy and humanized interaction. This invention significantly improves the performance of medical dialogue systems. Its sparse activation and parameter freezing characteristics further ensure low latency and high throughput in online high-concurrency scenarios, providing a complete solution for the deployment of reliable medical dialogue systems.

The invention relates to the field of sustainable design of building steel structures, and particularly discloses a waste steel component reusability evaluation method based on mechanical property quantification, which comprises the following steps: S1, developing a target component reusability evaluation system based on actually measured performance parameters; after the development of the evaluation system is completed, an operator can obtain performance parameters by testing a target component, and finally, the reusability evaluation of the component is completed by using the developed system, and the method comprises the following specific steps: S2, obtaining the geometric configuration of the to-be-evaluated target component by using three-dimensional scanning equipment; s3, measuring the vibration response of the to-be-evaluated component under specific excitation by using a modal test device; s4, acquiring strength information of the to-be-evaluated steel member by using a material property detection technology; and S5, the developed system evaluates the reusability grade of the waste steel member by integrating the actually-measured performance parameters, wherein the actually-measured performance parameters comprise geometric defects, natural vibration characteristics, damage factors and material strength.

The invention provides an intelligent control method for a multi-door elevator car. The intelligent control method comprises the steps that current elevator operation environment information is collected; according to the current elevator operation environment information, a plurality of elevator use routes for passengers to select are generated; after the elevator is started and moves along the selected elevator using route, real-time using state information of elevator passengers is collected; whether current use of the passengers is reasonable or not is judged according to the real-time use state information of the passengers, if not, the passengers are prompted to adjust corresponding use, an executing mechanism is controlled to automatically adjust the use state of the elevator car, and if not, the use state is kept unchanged. The use efficiency of the elevator and the comfort level of passengers can be improved, the waiting time and the crowding degree are reduced, and the safety and the intelligent level of the elevator are improved.

The embodiment of the invention discloses a water mist stabilizing method and device suitable for a capacitive touch screen of intelligent wearable equipment, and the method comprises the steps: extracting continuous three-frame data after monitoring that the capacitive touch screen has a scribing action; performing dynamic weighting calculation according to three continuous frames of data to obtain a coordinate value of each touch point; and connecting the coordinate values of the plurality of touch points to form a new lineation track. Compared with the prior art, when a small amount of small water drops or a certain amount of water mist exists on the capacitive touch screen of the intelligent wearable device (such as a watch), the water mist stabilizing scheme of the capacitive touch screen provided by the embodiment of the invention is adopted; the method has the following advantages: 1, dynamic weighted coordinate calculation is carried out on the capacitance screen data of the smart watch with water mist by using the front, middle and rear frames of data, and compared with a direct coordinate calculation algorithm, the situation that the gravity center algorithm is unstable due to water mist can be effectively inhibited; and 2, the user experience can be improved. And 3, the durability of the watch can be enhanced. And 4, the application field can be expanded.

The application relates to a multi-source heterogeneous space-time data fusion modeling method and system, which comprises the following steps: creating a root directory as a physical address of a space data model on a computer system; creating subdirectories corresponding to various storage object types under the structure of the root directory as physical addresses of the storage object types; the storage object types comprise vector data, two-dimensional raster data and three-dimensional model data; adding related data of the various storage object types in a core metadata system table; newly creating database files corresponding to the storage object types under the various subdirectories and initializing the database files, and generating exclusive metadata tables corresponding to the storage object types in the database files; obtaining two-dimensional and three-dimensional joint data of a real scene three-dimensional scene as to-be-stored data; based on the type of the to-be-stored data, calling corresponding data conversion tools to convert the to-be-stored data, storing the to-be-stored data in corresponding database files through corresponding storage modes, and associating the to-be-stored data with the exclusive metadata tables in the database files.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. According to various embodiments of the present disclosure, a wireless communication system may comprise a user equipment, the user equipment comprising a transceiving unit and a control unit, the control unit being configured to: transmit UE capability information about a predictable beam of the user equipment to a base station; receiving channel state information (CSI) configuration information from the base station; receiving a reference signal sent based on the first transmission beam from the base station; acquiring CSI (Channel State Information) related to a second transmission beam based on measurement prediction of a reference signal; and transmitting the CSI related to the second transmission beam to the base station.

The utility model relates to the technical field of ozonator accessories, in particular to an adjusting device for an ozonator, which comprises a main body, and a console is fixedly connected to the top of the main body. Equipment faults can be detected and reported in time, production stagnation or product quality reduction caused by the equipment faults can be avoided, equipment maintenance and maintenance can be carried out in advance through the fault display screen, the faults can be prevented, and therefore the maintenance cost and the cost for replacing parts are reduced, and the production efficiency is improved. The fault display screen can remind a user in time when the equipment has potential risks, safety accidents caused by equipment faults are prevented, the ozone generator adjusting device with the fault display screen can provide more stable and reliable services, the credibility and satisfaction degree of customers to products are increased, and therefore the effects of fault diagnosis and early warning are achieved.

This invention provides an interactive service collaborative processing system and method under a hospital cloud health model, relating to the fields of medical informatics and cloud computing technology. The system includes a gateway layer, an integration platform layer, a service management layer, and a data support layer. The gateway layer includes an entry gateway, an exit gateway, and a gateway collaboration interface module. The integration platform layer includes a service collaboration management module. The service management layer includes a service registration center, a unified authentication and authorization module, a service release and maintenance module, and a full-link monitoring module. The data support layer includes a service metadata database, an authentication and permission database, and a log audit database. This invention, through a four-layer collaborative management architecture, uses the service registration center as the collaboration hub to achieve bidirectional data synchronization and consistency management between the integration platform and the gateway, solving the technical problems of fragmented service management and inconsistent data, and realizing unified, efficient, and secure management throughout the entire service lifecycle.

The present application provides a method and system for dynamic scheduling of blockchain networks based on machine learning. First, according to the dynamic scheduling tasks generated by the blockchain cluster, multiple blockchain nodes to be scheduled are selected from the blockchain cluster. When a node whose performance needs to be optimized is identified, the node group to which it belongs is determined by its node authenticator. These node groups are composed of nodes with a collaborative working relationship, which is convenient for unified management and optimization. If the scheduling group to which the target node belongs contains multiple nodes working in collaboration, the method will further obtain these related nodes and use machine learning algorithms to perform performance prediction and dynamic scheduling optimization on them. In this way, the performance bottlenecks in the blockchain network can be intelligently identified and optimized, and the operating efficiency and stability of the entire network can be improved. At the same time, it can also adapt to the complex and changeable blockchain network environment and realize the rational allocation and efficient use of resources.

The embodiments of the present application disclose a method and device for processing high-risk behaviors of target permission users based on a cloud platform, which relates to the field of network security technology and is invented to facilitate both improving the security of the cloud platform and facilitating the administrator of the target cloud platform to obtain more information about the target permission users. The method includes: if it is monitored that the target permission user in the target cloud platform has an operation behavior in a specified operation set, then the danger level of the operation behavior is determined; if the danger level of the operation behavior is not a subset of the danger level set corresponding to the operation permission of the target permission user, then the operation permission of the target permission user is reduced or closed; multiple samples of the operation behavior generated by the user on the target cloud platform and an identification indicating whether the digital portrait is accurate are obtained; based on the key features and key feature values ​​corresponding to the target permission user, a digital portrait of the target permission user is constructed. The present application is suitable for processing the danger level of operation behavior.

The invention discloses a power supply product aging feedback method and system, and the method comprises the steps: collecting a power supply data set related to the aging of a power supply product, and the power supply data set at least comprises current, voltage and power supply switching frequency; calculating the change rate of each power supply data based on the power supply data set; calculating an aging influence factor for quantifying the aging degree of the power supply product according to the change rate; and adaptively adjusting the output power of the power supply product according to the current aging influence factor so as to realize aging feedback. By utilizing the embodiment of the invention, the use efficiency of a power supply product can be improved, and the service life of the power supply product can be prolonged, so that the maintenance cost and the potential fault risk are reduced, and more reliable service is provided for power consumers.

The invention discloses a reliable multi-source data fusion method based on cross validation. Malicious workers exist in a crowd sensing network, the truth phase of data may be affected, and the whole network is damaged, so that the reliable truth phase is obtained by using an unmanned aerial vehicle assisted multi-source data fusion method, and credible workers are identified according to the truth phase to solve the problem; firstly, a platform recruits workers according to worker credibility and quotation; then, unmanned aerial vehicle assistance is recruited for specific tasks which are not executed by workers and are executed by some suspicious malicious workers; after true phase data of the unmanned aerial vehicle data and the worker data are obtained, the true phase of an unexecuted task and the true phase of a task executed by a suspicious worker are recovered according to a depth matrix decomposition method; and finally, evaluating the worker data and updating the worker credibility according to the reliable fusion truth, the complementarity and cross validation of the multi-source data are fully utilized, the data fusion quality is improved, the credibility of the workers is further verified, and sustainable services are constructed.

The embodiments of this specification disclose a business processing method, device and equipment based on indoor positioning of unmanned vending machines. The scheme includes: based on the user's trigger, determining the user's current location; if the location is in an indoor environment containing multiple floors, then screening UWB base stations in multiple floors; locating the unmanned vending machines in the indoor environment through the screened UWB base stations and the UWB modules set on the unmanned vending machines; displaying nearby unmanned vending machines to the user based on the positioning results, and determining the target unmanned vending machine from them; navigating the user to the target unmanned vending machine through the screened UWB base stations or UWB modules, so that the user can perform corresponding services through the target unmanned vending machine.

This invention discloses a battery box, including a cover and a box body. The cover includes a first cover shell upright plate, a second cover shell upright plate, and a cover shell flat plate, which are welded together to form the cover shell. A thin aluminum plate is placed inside the cover shell and the box body. Open-cell aluminum foam is filled between the thin aluminum plate, the steel plate, and the cover shell. A battery pack is installed inside the box body. Outer edges are welded to the upper part of the steel plate, the lower part of the first cover shell upright plate, and the second cover shell upright plate, and round holes are provided on the outer edges. Each connecting screw connects the cover and the box body through the corresponding round holes. A heat insulation layer is added to the cover and the box body. The heat insulation layer is composed of a thin aluminum plate bonded to polyurethane foam. This ensures reliable operation of the battery box. The energy absorption capacity of the open-cell aluminum foam mainly depends on its density ρ. f Thickness t f Its mechanical properties. In order to fully absorb the energy of the explosion of flammable gas in the battery box, a corresponding analytical process is provided to select open-cell aluminum foam with appropriate parameters.

The present invention relates to a beam position and current intensity measurement device for a radiation zone, which comprises: a shielding guide assembly, used to block radioactive ions and protect external devices placed near the device; a hoist, arranged on the top of the shielding guide assembly, and a crane hoists and transports the device through the hoist; a target head and transmission assembly, arranged on the top of the shielding guide assembly, located in the middle of the hoist, and used to drive the target head assembly and the current intensity probe to move. The present invention has a simple and reliable structure, stronger radiation resistance, convenient hoisting and replacement, and can effectively ensure the normal operation of the accelerator. The present invention can be widely used in the field of accelerator technology.

The present invention relates to the field of blockchain technology, and provides a blockchain oracle network, a data interaction method, a device and a medium. The blockchain oracle network includes: a blockchain oracle main network; a plurality of distributedly deployed blockchain oracle subnets, which communicate with the blockchain oracle main network respectively; the blockchain oracle main network and each blockchain oracle subnet respectively provide data interaction services to the blockchain clients connected to them based on the consensus mechanism and the external resource nodes connected to them respectively. The blockchain oracle solution of the present invention adopts a multi-layer network model of main network + subnet, and realizes that the blockchain oracle main network and the distributedly deployed plurality of blockchain oracle subnets are respectively responsible for the core business of the data sharing and exchange blockchain platform and various specific data sharing and exchange businesses, and the blockchain oracle main network can synchronously summarize the network status data of each blockchain oracle subnet, so as to realize stable and reliable blockchain oracle services.

The embodiment of the present invention proposes a low-orbit spacecraft measurement and control method and system based on a high-orbit mobile communication satellite, which relates to the field of satellite communication measurement and control technology. The method is applied to a low-orbit spacecraft measurement and control system, which includes a high-orbit mobile communication satellite, a relay terminal, a gateway station and a measurement and control service platform. The relay terminal, the high-orbit mobile communication satellite, the gateway station and the measurement and control service platform are sequentially connected in communication. The relay terminal is installed on the low-orbit spacecraft and is connected in communication with the low-orbit spacecraft. The method includes: the measurement and control service platform sends remote control data to the relay terminal through the gateway station and the high-orbit mobile communication satellite; the relay terminal sends the remote control data to the low-orbit spacecraft; the relay terminal sends the telemetry data sent by the low-orbit spacecraft to the measurement and control service platform through the high-orbit mobile communication satellite and the gateway station. It can solve the current and future problems of the lack of on-orbit measurement and control resources for massive low-orbit spacecraft.

The invention discloses a linen order receiving system for employees outside hotel guest rooms. The system comprises an intelligent demand perception and analysis module, a dynamic resource scheduling and collaboration module, a full-process visual execution and guidance module, a multi-dimensional quality closed-loop evaluation module and an automatic billing settlement and accounting module. The system automatically senses a linen replacement demand through a fixed robot terminal deployed in a guest room, analyzes a multi-source service request in combination with a natural language processing technology, and generates a structured task work order; an intelligent scheduling algorithm based on multi-objective optimization is utilized, the real-time state of the external employee and inventory data are integrated, and efficient assignment of tasks is achieved; dynamic navigation and standardized operation guidance are provided for external employees, and task progress is tracked in real time; and finally, automatically completing fee accounting, electronic payment and multi-party account division according to a preset rule. According to the invention, automation and intelligentization of the whole linen management process are realized, and hotel operation efficiency, service quality and cost control water are significantly improved.