32results about How to "Guarantee service quality" patented technology

The invention provides a resource block scheduling method and a system thereof, wherein, the method comprises the following steps: eNode B is a resource block integration which is maintained and is carried with indicating information of interference degree; when a terminal needs to transmit upstream data, the eNode B determines the interference of the terminal according to the position information and transmitting power of the terminal; and the eNode B distributes the corresponding resource blocks in the integration of the resource blocks according to the determined interference of the terminal. By distributing corresponding resource blocks according to the interference of the terminal, the invention can guarantee that each terminal distributes RB with lower interference degree, thus being capable of reducing the interference among cells, guaranteeing the service quality and being beneficial to improving the system throughput and the sensitivity of the user.

The method can make the base station node and user end capable of synchronously realizing the discrete transmission of uplink DPCCH. In the invention, when user end has no data to upload to base station, it sends the control message used for starting discrete transmission through E-DPCCH; the base station synchronizes its own discrete receiving function with the DTX of user end; wherein, the control message can be gotten from the idle value and be a designated value of E_TFCI in the newly-added data transmission block assembly.

The method comprises: the first bearer controller sends a detection message to the second bearer controller in order to detect the state of bearer network between two bearer controllers; the second bearer controller reports the received detection message to the service controller; according to the detection message, the service controller makes session control. By invention, the service controller can get the state of bearer network in each time interval, and according to the information about the state of bearer network, takes relevant operations.

The invention discloses a hotel article washing management system based on RFID, and the system comprises a washing center system which comprises a storage unit, a processor, and output equipment; electronic tags which are fixed on hotel articles and respectively have a unique ID; and a reading module which comprises a reader-writer and a GPS module. The processor is also connected with a buzzer. When the total number of washing times exceeds the upper limit value of washing, the buzzer rings. The washing center system employs the Internet network to achieve data transmission with a connected module. The system can achieve the tracking and recording of washing times, a washing process and storage positions of hotel articles, and stores the number of washing times of each hotel article. When the number of washing times exceeds a certain number, the system automatically carries out prompt and replacement, thereby effectively improving the efficiency and quality of washing management of a hotel.

The present invention discloses a method ensuring multiple service quality. It contains A, service terminal originating service having service quality requirement, applying establishing connection to application server, application server according to current service resource requirement applying occupying resource access network resource management device; B, access network resource management device determining current service from user access equipment to BAS required link, and according to recording each link resource to judge whether current service required link having enough available resources, if it has then establishing connection otherwise rejecting current service. The present invention also discloses resource management device and accessing system.

The invention discloses a selection method of a mainly-used scheduling unit and a standby scheduling unit in a content delivery network (CDN) and network convergence system. The CDN and network convergence system comprises a plurality of CDN service devices, and each CDN service device comprises a scheduling module and a selection module. The method includes the steps: selecting the mainly-used scheduling unit from a plurality of scheduling modules contained in the plurality of CDN service devices in a multicast mode, wherein the mainly-used scheduling unit is used for conducting unified scheduling on access requests of a client side accessing applications; and selecting the standby scheduling unit, wherein the standby scheduling unit is used for rapidly replacing the mainly-used scheduling unit to conduct the unified scheduling on the access requests of the client side accessing the applications when the mainly-used scheduling unit breaks down. The invention further discloses the CDN and network convergence system. Through adoption of the scheme, stability of the CDN and network convergence system is improved, and accordingly the service quality can be ensured.

The invention discloses a power allocation method and a power allocation device in a multiple input multiple output open loop region. The method comprises that: when the available subcarriers of a base station are mapped to F frequency subregions, and a multiple input multiple output (MIMO) open loop region is set in the ith frequency subregion, then the data subcarrier power p2 of the MIMO open loop region in the ith frequency subregion is in accordance with the following condition: Pout is less than or equal to Pmax; wherein detaFi is power difference between a frequency subregion Fi and a frequency subregion F0, i is more than or equal to 0 and less than or equal to F, and the F is more than or equal to 1, the Pmax is the maximum value of the total transmission power of each orthogonal frequency division multiplexing (OFDM) symbol, the Pout is the total actual transmission power of each OFDM symbol; Nused is available subcarrier quantity in each OFDM symbol; and deta1p and deta2p are power constraint values, and are more than or equal to zero. The invention also provides a power allocation device in the multiple input multiple output open loop region. By the method and the device, the interference of the whole network can be reduced to a certain level so that the service quality of cell-edge users and the frequency spectrum efficiency of the whole network are ensured.

The embodiment of the invention relates to the field of data processing, and discloses a shopping method and system, related equipment and a storage medium. In some embodiments of the invention, the shopping method comprises the steps of obtaining order information; wherein the order information is determined according to ordering data input by residents of guest rooms and transmitted by the interaction equipment, and the interaction equipment is arranged in the guest rooms; and according to the order information, controlling a delivery robot to transport purchased commodities indicated by theorder information to guest rooms. According to the embodiment, under the condition of not depending on a bar counter, the shopping requirements of hotel residents are guaranteed, and the service quality of hotels is guaranteed.

The invention discloses a system capacity prediction method based on service volume. The method is characterized by comprising the following steps; collecting original data of at least one month or more; first rejecting seasonal factor effects, selecting a model group based on a linear model, a moving average model and an ARIMA model; calculating a weight index of each model by utilizing a multiple regression model; and then introducing genetic algorithm machine learning to iteratively optimize the model group to obtain optimal model group parameters, calculating a daily dimension prediction result and a minute dimension prediction result, and calculating a system capacity demand based on the prediction results of the two dimensions by utilizing a fitting relationship between the service and historical data of the system capacity. By applying the prediction method provided by the invention, the influence of external factors on prediction is comprehensively considered, the parameters are automatically optimized through model group prediction and introduction of a genetic algorithm, not only can the change of a transaction structure and a service volume trend be flexibly coped with,but also the prediction result is improved, so that the average error is less than 5%, and the service quality of Internet application is favorably guaranteed.

The invention provides a method for switching a master mode and a slave mode of an encryption card and the encryption card. The encryption card comprises a power module, a detection module and a mode switching module, wherein the power module detects the power supply situation of a peripheral component interconnect (PCI) or a PCI express (PCIE) interface, and automatically supplies power to the encryption card if the PCI or the PCIE interface cannot be supplied with power; the detection module detects whether a host fails or not, and if the host fails, transmits a mode switching request to the mode switching module; after receiving the mode switching request from the detection module, the mode switching module switches the operating mode of the encryption card from the slave mode to the master mode; and the encryption card independently works in the master mode and continues providing a service for application. Under the condition of normal working of the host, the encryption card exchanges data with the external application through the host, and the host and the encryption card perform own functions, namely, the host functions in the reception and transmission of the data and the like and the encryption card only functions in encryption so as to ensure relatively higher working efficiency; and when the host fails, the encryption card can dynamically switch own operating mode from the slave mode to the master mode and work independently to continue providing the service for the application and ensure the quality of service when the host fails.

A method for controlling media access includes priority processing program of utilizing message frame interchange mode to ensure that mobile station with high priority can add in polling name list before mobile station with low priority, collision analyzing program of utilizing tree shaped dividing calculation to let mobile station passed priority processing add in polling name list within limited time and polling program of making radio access point execute scheduling calculation to let mobile station in polling name list to transmit data in sequence according to line polling message frame command of vector string.

A method for controlling data transmission rate between server and home switched ¿C in device includes deciding data transmission rate according to RSSI when data transmission is carried out between said server and said device, obtaining D ¿C value of original data transmission rate to actual receiving rate when data from said server is received and then feeding D ¿C value back to server, deciding data transmission rate according to feedback value and applying decided value for next data transmission so as to compensate data loss through radio communication network.

The invention discloses a channel selection method for a cognitive wireless sensor network, comprising: acquiring network parameter information of the cognitive wireless sensor network; selecting whether to access the channel; calculating channel revenue of each channel; selecting a channel as an access channel; updating the system state; and finding the optimal channel selection combination to complete the channel selection of the cognitive wireless sensor network. By considering from the perspective of cognitive users, the invention designs the channel revenue function as an evaluation indexto evaluate the quality of channel selection, and guides the secondary user to select a channel with better channel quality to supply cognitive users to transmit data by continuously interacting andlearning with the environment, thereby reducing the number of channel switching times of the secondary user in the communication process, guaranteeing the quality of service of the cognitive user, andimproving the communication quality as well as spectrum utilization rate while reducing the interference to the primary user.

The invention relates to a scheduling-free transmission method based on priorities. The method comprises the steps that a base station configures different scheduling-free transmission delay time fordifferent business priorities; the base station sends the scheduling-free transmission delay time corresponding to the priorities to terminals; the base station configures scheduling-free transmissionresources for the terminals; and when uplink data of the terminals arrives, the terminals send data through utilization of pre-allocated scheduling-free transmission resources, wherein start time ofsending the data is not earlier than the scheduling-free transmission delay time corresponding to the business priorities of the data. According to the method, the base station configures the scheduling-free transmission delay time corresponding to the business priorities for the terminals, so a conflict problem among the business with the different priorities is avoided, a data transmission success rate of high priority business is improved, and quality of service of the system is ensured.

The disclosed transmission method for media flow comprises: A. the transfer-media gateway device builds signaling connection with two media gateway devices through a transfer-calling server, and creates the first / second media flow temporary terminal for the first / second gateway device; B. the transfer-media gateway device connects two temporary terminals; and C. transfer-media gateway device transmits the media flow between two gateway devices. This invention improves QoS for transferring business.

The invention discloses a base station selection and task unloading method and device for a mobile edge calculation system, equipment and a medium. The method comprises the following steps: building a calculation model of switching time delay, communication time delay and queuing time delay of the mobile edge calculation system in any time slot based on two decision variables, namely service placement and base station selection; minimizing non-switching time delay to obtain service placement and base station selection decisions at an initial moment; according to the decision of the previous time slot, the switching time delay and the non-switching time delay of the current time slot are calculated, and whether the current time slot migrates the service or not is determined based on the principle of tolerating more non-switching time delays; if the service is not migrated, the decision of the current time slot is kept to be the same as that of the previous time slot; if the service is migrated, minimizing the non-switching time delay of the current time slot, and obtaining the service placement and base station selection decision of the current time slot; and iteratively calculating service placement and base station selection decisions of all time slots. According to the method, low-delay processing and user service quality are guaranteed, and the randomness of user movement is met.

The embodiment of the invention provides a method and device for determining a transmission path, relates to the technical field of communication, and can realize load balancing of a high-guarantee-level service in a network so as to guarantee the service quality of high-guarantee-level service transmission when the network is heavily loaded. The method comprises the following steps: acquiring service information of a to-be-transmitted service; acquiring link state information of all links in the network, wherein the link state information comprises bandwidth information of the links and loadinformation of services of different guarantee levels transmitted on the links; and determining a target transmission path of the to-be-transmitted service according to the service information of theto-be-transmitted service and the link state information in the network.

The invention discloses a flow congestion detection method and a flow congestion detection system based on BFD, relating to the flow congestion detection field. The method comprises the following steps: setting a jitter threshold; calculating the jitter value of the BFD message according to the receiving interval of the BFD message; comparing the jitter value and jitter threshold of BFD packets todetermine whether the BFD link is congested or not. The invention detects the congestion of the link according to the jitter value of the BFD message, can quickly detect the flow congestion, and avoids the occurrence of a large number of packet loss.

The invention discloses a burst task unloading and scheduling method oriented to an edge service network, aiming at a burst task of a certain congestion server, the burst task is executed at the same time through a load task evacuation strategy and a load task scheduling strategy so as to achieve an optimization process of task burst load evacuation. The method provided by the invention can make up for the defects of the existing communication protocol, and enables the edge network environment to have task evacuation and task scheduling calculation capabilities on the basis of not changing the network architecture. Moreover, in combination with the classical network structure of edge computing, namely the respective functions of the edge server and the cloud server, efficient scheduling of task computing is carried out, so that sudden user tasks can be completed in a short time, and the service quality of the whole system is guaranteed.

Provided are a redirection method, network side equipment and a terminal, a network side method comprising: sending a first message to the terminal, the first message comprising redirection indication information, the redirection indication information being used for indicating the terminal to be redirected from a first network slice to N second network slices, N being an integer greater than or equal to 1. In the invention, in a network slice technology, the redirection indication information of the network slices is indicated to the terminal through the network side equipment, and the terminal can be redirected to a proper network slice according to the redirection indication information. Therefore, the problem that the service of the terminal is affected due to the fact that the terminal cannot select the required network slice in the network slice redirection can be avoided, and the service quality of the terminal in the network slice redirection can be ensured.

The invention discloses a platform system for scenic spot operation decision-making in a 5G scene. The platform system comprises a plurality of entrance guards, a wireless receiving module, a control terminal, a detection module, a prompt module and a memory, a counter and a wireless transmitting module are arranged in each entrance guard, each counter is electrically connected with each wireless transmitting module, the plurality of wireless transmitting modules are in radio signal connection with a wireless receiving module, and the wireless receiving module is electrically connected with a control terminal; a distribution unit, an alarm module and a prediction unit are arranged in the control terminal, and the control terminal is electrically connected with the detection module, the prompt module and the memory. According to the invention, workers can be timely arranged for exchange according to the number of tourists in each scenic spot, the tourism experience of the tourists is improved, the service quality of the tourists is guaranteed, and the economic development of the scenic spot is facilitated.

The invention discloses a semantic analysis method and system based on a complex scene, and the method comprises the steps: carrying out audio decomposition of first voice information to obtain a first voice audio analysis result; judging whether interference information is included; if yes, obtaining first user audio information according to the first voice audio analysis result; obtaining a first audio feature according to the first user audio information; inputting the first audio feature and the first voice information into an audio extraction model to obtain a first voice analysis result; obtaining a preset power service term database; according to the first voice analysis result and a preset power service term database, obtaining first matched power information; and when the matching degree of the first matching power information and the first voice analysis result meets a condition, taking as a first voice semantic processing result. The technical problems that intelligent customer service information distinguishing and processing capacity of electric power service is insufficient, and particularly, customer consultation content in a complex scene is affected by other interference information, and data processing has deviation are solved.

The invention discloses a sea area private network business application service quality assurance method. The method comprises the following main modes: 1, issuing service quality assurance parameters through a network management platform; and 2, ensuring the service quality of the same bearer. Compared with the existing technical scheme, the technical scheme of the invention has obvious advantages. Different parameters are configured for the QOS of different services in the same bearer, so that a core network can enable a user to accurately configure the QOS of each service, and when the bandwidth is fully occupied, the core network can perform specific QOS guarantee on a specific service according to the QOS parameters of different services in the bearer, so that the user experience is improved. Therefore, the service quality of the specific business in the user channel is ensured.

The invention discloses a service operation data processing method and device. The method comprises the steps of obtaining service code data of a target service; performing service field constraint verification on the service code data; when the service field constraint verification is passed, carrying out a demand test on the business code data based on a business demand; And when the test is passed, performing business release of the target business based on the business code data. By utilizing the technical scheme provided by the embodiment of the invention, automatic continuous integrationcan be realized, the data processing efficiency in the service operation process is improved, and the service quality is better ensured.

The invention discloses an information interaction method. The method comprises the following steps of when a dynamic information interaction request initiated by a service provider is received, acquiring authentication information sent by the service provider; verifying whether the authentication information passes; and if the authentication information passes, acquiring interaction information in the dynamic information interaction request, and according to the interaction information, carrying out caching. The invention simultaneously discloses information interaction equipment and a cache system. By using technical scheme of the invention, the system can be ensured not to generate hijack by mistake / caching by mistake so that service quality is guaranteed.

Provided is a service providing method and system by interoperation between service managers. Each of the service managers may manage an independent service area. Since the service managers interoperate with each other, a service target of an available service resource managed by a single service manager may be expanded to the entire service area. The entire service area may correspond to an area of summing up a service area managed by each of the service managers. Through the above expansion, a service may be efficiently delivered and provided to ensure a quality of service (QoS) requested by a user.

The invention discloses an internet data center demand response optimization method based on a multi-objective evolutionary algorithm, and the method comprises the following steps: collecting the maximum value and the maximum workload capacity of each data center server, and collecting the total workload of front and rear end web portals; establishing an internet data center demand response model by taking data center profit maximization and customer service quality optimization as targets, and proposing a decision variable reduction method; providing a population-based method to find a finite solution set, namely a Pareto optimal solution. In the iteration process, the Pareto optimum is used for improving the quality of the solution. According to the algorithm, the convergence and diversity of the algorithm are ensured through operations such as variation, crossover, hybrid crossover, selection, archive updating and the like. According to the Internet data center demand response optimization method based on the multi-objective evolutionary algorithm, the feasibility of physical constraints and the expandability of the number of decision variables are effectively solved through the multi-objective evolutionary algorithm, and the internet data center demand response optimization method realizes good balance between data center profit and customer service quality.

The invention provides an intellectual property service intelligent recommendation system. The intellectual property service intelligent recommendation system comprises an information extraction module, a position setting module, a target retrieval module, a feature qualification matching module and a target recommendation module. The feature qualification matching module is also used for acquiring the service statistical information of each supplementary target and calculating the special qualification evaluation value of the supplementary target in the technical field according to the service statistical information. According to the intellectual property service intelligent recommendation system provided by the invention, by setting the special qualification evaluation value, the qualification evaluation of each alternative target is realized in combination with the technical field of user requirements, and compared with the overall evaluation of the alternative targets, the guidance of the user is more targeted, and the service quality of the user is ensured.