136 results about "Connection number" patented technology

The invention provides a performance optimization method and system for cross-data-source paging query, and relates to the technical field of data processing, and the method comprises the steps: calculating a data distribution weight and a data source routing table, determining an optimal data access path, and splitting a paging query request into sub-query tasks; dynamically adjusting the number of parallel query threads based on the load state and distributing sub-query tasks; establishing a local index and adaptively adjusting an index structure; dynamically adjusting the connection number of the connection pool and acquiring data in batches; performing feature analysis according to a query result, determining the size of a data fragment, and selecting an optimal merging strategy to merge the data; constructing a cache access mode graph, and aggregating and storing related data based on the access association degree; and optimizing a performance strategy set through reinforcement learning, adjusting a cache updating interval, a data access path and a feature matrix, and finally obtaining a query result. According to the method, the cross-data-source paging query efficiency can be effectively improved, the query delay is reduced, and the overall performance of the system is improved.

The invention discloses a high-concurrency real-time message pushing system and method based on an SSE protocol, and relates to the technical field of communication. Comprising the steps of 1, establishing a high-concurrency real-time message pushing system, 2, performing access, heartbeat detection, connection state management and load balancing of a client through an access module, performing dynamic strategy allocation based on tenant ID hash through a load balancer of the access module, routing client requests to different SSE servers, and sending the client requests to the SSE servers. 3, caching and routing management of messages are carried out through a message management module, distributed message middleware kafka is used as a cache queue through the message management module, real-time messages sent by a service system are received, and the messages are stored in a classified mode according to top and Tenant; the connection metadata comprises a connection ID, a client subscription topic and a timestamp, and step 5, monitoring the connection number of each node in real time through a monitoring module, triggering connection migration and message reissuing when the node fails, removing the information of the failed node, and notifying a load balancer to route the original connection to other nodes. And meanwhile, the message management module is notified to re-push the message which is not successfully pushed by the fault node to the new node, so that the message is prevented from being lost.

The invention provides a digital enterprise management data storage method and system based on cloud computing, and the method comprises the steps: obtaining a real-time management data set in an enterprise data flow, generating a virtualized storage node, determining a target encrypted fragment index matched with the virtualized storage node according to a preset storage path optimization model, and storing the target encrypted fragment index into a database; based on a dynamic storage path corresponding to the target encrypted fragment index, segmenting the structured data block and the unstructured data block into encrypted data units distributed across regions, and mapping the encrypted data units to corresponding cloud storage partitions; dynamically distributing storage resources of the cloud storage partitions through a load balancing algorithm, and adjusting priority weights of dynamic storage paths according to real-time flow characteristics; and when an access request of the encrypted data unit is detected, redistributing the concurrent connection number of the cloud storage partitions. According to the method, the collaborative optimization problem of resource allocation and safety efficiency can be solved.

The invention discloses a data transmission method and computer equipment, and relates to the technical field of data transmission. The method comprises the following steps: acquiring a sending work request containing a local sending queue pair number and a work queue element; querying target sending information by taking a local sending queue number as an index; storing the working queue elements and the target sending information as operation contexts into an internal memory of a network card of a request end, and recording corresponding indexes; assembling a target data packet based on the target sending information and the memory index; receiving a feedback data packet of the target data packet and extracting a memory index and a serial number carried by the feedback data packet; if the feedback data packet is a correct confirmation data packet, judging that the sending of the work request is completed and releasing the context; and if the feedback data packet is a confirmation failure data packet, calculating a retransmission data initial address and organizing retransmission. The technical problem that the effective connection number of network cards is limited by hardware resources in the prior art is solved, and the technical effect of supporting large-scale network parallel communication is achieved.

The invention discloses a tracking connection number control method and device of a virtual machine, equipment and a medium, and relates to the technical field of virtualization, the method comprises the following steps: determining a demand tracking connection number of a host machine according to historical tracking connection number information of the host machine; determining a virtual machine distributable tracking connection number of the host machine according to the total tracking connection number upper limit value and the demand tracking connection number of the host machine; adjusting the tracking connection number upper limit value of each virtual machine according to the virtual machine distributable tracking connection number and the tracking connection number of each virtual machine on the host machine; according to the method, the total tracking connection number of the host machine is divided into the tracking connection number of the host machine and the tracking connection number of the virtual machine, and the tracking connection number required by the follow-up host machine can be predicted by utilizing the historical tracking connection number information of the host machine, so that the tracking connection number of the host machine can be predicted under the condition of ensuring normal communication of the host machine. The tracking connection number of the virtual machine is conveniently and effectively controlled, and the resource utilization rate and safety of the host machine are improved.

The invention relates to the technical field of micro-services, and discloses an Istio-based inference service global activation connection number limiting method, which comprises the following steps: step 1, when a client request is received, extracting label information in a request header, and carrying out label analysis; 2, after label analysis is completed, threshold value query is conducted, and interface response content is obtained; 3, acquiring real-time load data of the target service, and calculating a real-time dynamic threshold value; 4, performing three-level quota verification from the tenant level, the service level and the instance level; and 5, after three-level quota verification, connection processing is carried out, a connection processing result is reported, and closed-loop feedback is carried out. According to the scheme, a global and intelligent connection number limiting mechanism is constructed in a micro-service architecture, the problems of service overload, resource competition and system stability caused by sudden increase of the connection number in distributed reasoning service are solved, and dynamic sensing, intelligent decision making and accurate control of the reasoning service connection number are achieved.

The invention provides a multi-speech synthesis model bearing method and device based on a virtual GPU, and relates to the technical field of graphics processing units, and the method comprises the steps: carrying out the virtualization processing of a physical graphics processing unit, dividing the physical graphics processing unit into a plurality of virtual processing units with independent video memories and calculation quotas, and combining a resource scheduling mechanism, and deploying the speech synthesis language model instances in a plurality of service containers, and constructing a plurality of speech synthesis model bearing units. After a voice synthesis request is accessed, the scheduling module carries out load balancing according to the request connection number of each bearing unit, the request is distributed to a target bearing unit with the minimum connection number, and a voice generation task is completed by a virtual processing unit bound with the target bearing unit. According to the invention, resource division can be carried out on the physical graphic processing unit, and efficient operation of the multi-speech synthesis model is realized.

The invention relates to the technical field of logistics distribution, and provides a scheduling method and system for collaborative distribution of processing raw materials and finished products, and the method comprises the steps: collecting multi-dimensional data in the distribution of the processing raw materials and the finished products; the multi-dimensional data comprises logistics information and node information; decomposing the logistics information to obtain logistics feature information; the logistics feature information comprises trend feature information, periodic feature information and random feature information; constructing a logistics matrix containing logistics nodes based on the node information, and calculating node feature information; the node feature information comprises an average connection number and an aggregation degree; based on the logistics feature information and the node feature information, designing a scheduling strategy to carry out collaborative distribution scheduling on the processing raw materials and the finished products; therefore, the utilization rate of logistics resources is improved, the response capability to market demands is enhanced, the logistics cost is effectively reduced, the overall efficiency and benefits of logistics distribution are improved, and a more competitive solution is provided for the field of logistics distribution.

The invention relates to a data redistribution method and device, computer equipment, a computer readable storage medium and a computer program product. The method is applied to a first node of a distributed database, and comprises the following steps: receiving a redistribution instruction issued by a coordination node in the distributed database; writing the target data into a sending queue in a first redistribution operator based on the redistribution instruction, and pushing the target data to a second data transceiving process of a second node based on the sending queue in the first redistribution operator and a first data transceiving process; the sending queue of the first redistribution operator and the first data transceiving process share the same memory area; the second node is a remote node; the second data transceiving process and the receiving queue of the second redistribution operator share the same memory area; the receiving queue of the second redistribution operator is used for reading the target data from the second data transceiving process. By adopting the method, the process connection number and the network connection overhead required by data redistribution can be reduced.

The invention discloses an early warning event execution method and device, a storage medium and electronic equipment, and relates to the technical field of cloud computing, and the method comprises the steps: configuring a tracking connection limit number in an initial state for a binding interface of a target virtual machine, and determining a dynamic threshold range according to the tracking connection limit number in the initial state; determining the current tracking connection number of the binding interface according to the network data message received by the binding interface; and determining whether to execute an early warning event or not according to a first size relationship between the current tracking connection number and the tracking connection limit number in the initial state and a second size relationship between the current tracking connection number and the dynamic threshold range. By adopting the technical scheme, the problem that real-time monitoring and intelligent early warning of the connection tracking number of the virtual machine cannot be realized is solved.

The invention relates to the technical field of automatic driving inspection, in particular to an automatic driving inspection method and system for a fire-fighting robot, and the method comprises the following steps: obtaining a grid structure to count a connection number channel width and a connection angle mark complex section, extracting a passing path, calculating the overlapping proportion of an original path, and generating a to-be-reconstructed path segment; combining the shortest paths to generate an updated path section sequence, screening the number of intersections and the path length, collecting a fire source dense smoke coordinate, evaluating a heat source and diffusion change, predicting a shielding path section, judging that the path falls into the shielding section, reconstructing a connection path, calculating lengthy length and overlapping times, and generating an automatic driving inspection path through fuzzy comprehensive evaluation and screening. According to the method, complex sections are marked by counting the width and angle of a connection number channel, repeated paths are identified to avoid crossing redundancy, the paths are reconstructed to reduce cross interference, a heat source dense smoke change is evaluated to predict a shielded area, the paths are screened to improve safety and continuity, and path adaptability and execution efficiency are enhanced.

The invention discloses a multi-cloud database consistency automatic inspection method, system and device, and the method specifically comprises the steps: configuring a detection process sequence through an integrated Blockly graphical designer based on early warning information; executing the detection process sequence in an encryption environment, and collecting the instance state, the connection number and the parameter configuration data of the multi-cloud database to form database instance data; analyzing database instance data by using an SHAP framework, and calculating feature importance to locate a root cause causing inconsistency of detection items; and establishing an incidence relation network between the database instance and the application service based on a knowledge graph technology, and positioning an abnormal root cause to a specific service module in combination with the positioned root cause. According to the invention, consistent automatic inspection of the multiple cloud databases is realized, connectivity risks are early warned in advance, abnormal root causes are accurately positioned to specific service modules, and stable operation of the multiple cloud databases is guaranteed.

The invention relates to the technical field of power system automation, and provides a global database connection number control method and system based on an end side, and the method comprises the steps: calling a database connection assembly to achieve the access to a multi-type heterogeneous database service; the method comprises the following steps: transforming a heterogeneous database access component, adding a database connection handle state monitoring function module, and traversing heterogeneous database connection handles and releasing idle overtime database connection according to the current read-write state of the connection handles; when the non-idle database connection handle reaches the timeout time, the database connection is not forcibly released; after the database connection handle is automatically disconnected, the database connection is recovered when the current database connection handle generates the read-write request again; judging whether the current global connection number is out of limit or not, if yes, waiting until idle connection occurs, and then establishing new database connection; and setting the connection timeout time of the request database, and returning the timeout time. The method can be compatible with various types of heterogeneous databases.

The invention discloses a method for limiting the number of users capable of being borne by a service through a private certificate, and belongs to the technical field of computer network security and access control, and the method specifically comprises the following steps: S1, generating a private certificate: a certificate generator obtains host information and user demand parameters of service deployment, and carries out symmetric encryption to generate an encrypted private certificate; s2, service deployment and analysis: inputting the encrypted private certificate into a service system, decrypting the certificate by the service system, and analyzing to obtain host information and user demand parameters; initializing a user connection number threshold control module in the service system according to the number of bearable users; s3, user access control: the user terminal initiates a connection request to the service system, and the service system detects the current user connection number in real time and judges whether to access or not; according to the invention, through triple integration of certificate function extension, a dynamic control chain and authority automatic isolation, static authorization of a traditional intercom system is upgraded to a resource sensing type dynamic management and control system.

The invention relates to the technical field of fan monitoring, in particular to a method, a device and a system for monitoring a fan based on a bus and wireless communication, which are characterized in that a serial port server and a fan sensor are electrically connected by adopting a serial port bus, and the serial port server and a central control device are connected by adopting a wireless communication mode. The fan sensor is connected with the central control equipment, so that remote effective monitoring of the fan is realized, wire connection between the fan and the central control equipment can be omitted, and risks of rodent damage, insect damage and mechanical damage are reduced; meanwhile, due to the fact that a wireless communication mode is combined for connection, the fan sensors can be connected with a central control device or connected with a cloud or a local server and then connected with the central control device, a wireless communication protocol based on the Internet of Things technology is adopted, such as an MQTT communication protocol, the connection number of the fan sensors is increased, and therefore the application range is expanded.

The invention belongs to the technical field of data processing, and particularly relates to a lightweight index method, system and equipment for high-dimensional data of edge equipment and a medium. The method comprises the following steps: performing feature variance analysis on high-dimensional vector data, decomposing the high-dimensional vector data into high-order features and low-order features according to a variance contribution degree, and performing primary compression processing on the decomposed high-dimensional vector data; an edge adaptation hierarchy coefficient is obtained according to a set memory threshold value, the maximum hierarchy number of HNSW is obtained, clustering calculation is carried out on first-level compressed high-dimensional vector data to obtain data local density, and data hierarchy distribution is carried out according to a clustering result; the maximum connection number of each layer is set according to the number of levels, a distance pruning threshold value is obtained according to the maximum connection number, pruning processing is carried out on corresponding level data according to the distance pruning threshold value, secondary compression processing is carried out on the processed data by using difference value coding, and secondary compression high-dimensional vector data is compressed. And independently storing the compressed data.

The present application provides a routing method, device, equipment and storage medium based on microservices. The method includes: obtaining the processor utilization rate, memory utilization rate, queue depth and connection number of the node device n under the microservice system m, where m and n are positive integers greater than or equal to 2, the queue depth represents the processing performance of the preset node device n for processing requests, and the connection number represents the number of external connections supported by the port of the node device n; determining the system performance parameter of the node device n based on the processor utilization rate, memory utilization rate, queue depth and connection number; predicting the routing performance parameters of the selected node devices under multiple microservice systems during the routing process based on the system performance parameter and the statistically recorded service request duration; and determining the routing paths corresponding to multiple service requests based on the routing performance parameters if multiple service requests are received.

The invention relates to the technical field of computers, and discloses a large model reasoning service dynamic connection number limiting method based on service attributes, which comprises the following steps of: 1, carrying out initialization setting on service attributes, resource parameters and a weight model; 2, collecting multi-dimensional data, wherein the collected multi-dimensional data comprises load data, service data and resource data; step 3, carrying out data preprocessing and data fusion on the collected multi-dimensional data to form a three-dimensional fusion data set; step 4, calculating a three-dimensional dynamic weight based on the three-dimensional fusion data set; 5, generating a connection number threshold value according to the three-dimensional dynamic weight, and carrying out connection request distribution and over-limit processing; and step 6, forming closed-loop feedback through real-time monitoring, historical backtracking and algorithm tuning. By utilizing the scheme of the invention, the refined management and control of the connection number in the large model reasoning service are realized, and the resource cost is optimized while the high-priority service quality is ensured.

The invention relates to a large-scale heterogeneous multi-attribute equipment scheme clustering decision-making method and a medium. The method comprises the following steps: uniformly converting heterogeneous attribute data in a digital twin decision-making information system into binary connection numbers; determining an attribute weight by adopting an MEREC method, and constructing an attribute non-compensable value based on the attribute weight and the binary connection number; generating a scheme similar network according to the attribute non-compensable value; performing network clustering operation on the scheme similar network, and outputting a scheme clustering result; and based on the scheme clustering result, calculating the comprehensive target distance of the scheme in the cluster by adopting the grey target theory, and fusing the global value of the scheme and the comprehensive target distance to generate a final scheme score. According to the method, the problems of heterogeneous information fusion distortion, attribute non-compensatory mechanism deficiency and low large-scale scheme clustering efficiency in a digital twinborn decision scene are solved by constructing heterogeneous data unification-attribute non-compensatory mechanism modeling-network clustering-intra-cluster decision.

The invention relates to the technical field of computers, and particularly provides a data transmission method and device, equipment, a medium and a product. The method comprises the following steps: receiving a target data transmission task from an FTP client; determining a load distribution weight of each candidate data agent node based on node performance information and node use information of a plurality of candidate data agent nodes obtained from a registration center; determining a target data agent node based on each load distribution weight and the connection number information of each candidate data agent node; and sending the target data transmission task to the target data agent node. And determining a node load utilization rate condition through the node performance information and the node use information of the proxy node so as to determine a load distribution weight of each candidate data proxy node. Therefore, whether each node has spare resources or not can be accurately judged, and all tasks can be prevented from being distributed to the previous nodes with spare resources in combination with the connection number information. Therefore, the data transmission efficiency can be improved.

The utility model discloses a novel Bluetooth module, which relates to the technical field of wireless communication, aims to solve the problem of limitation of the connection number of Bluetooth modules, and comprises a substrate, a chip module is arranged on the substrate, the chip module comprises an integrated chip U1, and the chip module is connected with a crystal oscillator module; the radio frequency module is electrically connected with the chip module, the radio frequency module comprises a matching circuit and an antenna unit, and the matching circuit is connected with the integrated chip U1; the external interface module comprises a data interface and a debugging interface, and the external interface module is connected with external equipment. The Bluetooth module provided by the utility model not only can be used as a host to connect up to 16 slave devices and send and receive data, but also can be used as a Beacon device to broadcast information outwards and be used for positioning, message pushing and the like, so that the connection capability is effectively expanded, and wider application requirements are met.

A method for detecting a drive wheel device includes the following steps: Connect the master station to the slave station, and drive the master station to send a heartbeat message to the target slave station; Configure the data types obtained by each slave station according to the heartbeat data; Obtain the connection number of the slave stations according to the heartbeat data, and determine whether the connection number of the slave stations is greater than the number threshold. If it is greater than the number threshold, obtain the network parameters, determine the current network status according to the network parameters. If the current network status is good, extract the data of the slave stations in real time and send it to the master station through the transmission method of TPDO message or TCP; If the network status is not good, select the transmission methods of different data types according to the network parameters, and send the data of the slave stations to the master station. When it is detected that the network status is not good, the transmission methods of different data types will be adjusted according to the network parameters to ensure that the data will not be lost and is transmitted to the master station stably and completely.

To provide an information processing apparatus that can more suitably correct an abnormal pixel.SOLUTION: An information processing apparatus has: a first connection unit that, when the difference between pixel values of adjacent two pixels is within a first range, determines that the two pixels belong to the same first connection pixel group; a pixel value determination unit that, when the order of the pixel value of a target pixel is outside a second range in a neighborhood pixel group including the target pixel and a neighborhood pixel arranged in the neighborhood of the target pixel, determines that a first condition is satisfied; a first connection number determination unit that, when the number of pixels belonging to the first connection pixel group including the target pixel is equal to or less than a first threshold, determines that a second condition is satisfied; a correction unit that, in a first case where at least the first condition and the second condition are satisfied, performs correction of the pixel value of the target pixel, and in a case where the first condition is not satisfied or in a case where the second condition is satisfied, does not perform, for the pixel value of the target pixel, the correction to be performed in the first case; and a first threshold determination unit that determines the first threshold on the basis of temperature information and a first representative value.SELECTED DRAWING: Figure 20

Embodiments of the present application provide a building network quality evaluation method and device, electronic equipment and medium, the method comprises: obtaining the historical connection number of each base station in the base station list of the target building; determining the permanent user of the target building according to the historical connection number; when detecting that the permanent user enters the target building, obtaining the real-time signaling data of the permanent user; and evaluating the network quality of the target building according to the real-time signaling data. Through the embodiments of the present application, the building network quality is accurately evaluated based on the real-time signaling data of the permanent user.

The application provides a capacity adjustment method, device and equipment of a traffic forwarding network element and a storage medium, relates to the technical field of cloud computing, and the method is applied to a control node and comprises the following steps: adjusting the capacity of a slow path SP cluster of the traffic forwarding network element according to the running state of the traffic forwarding network element; and updating the mapping relationship between a slot range and an SP node group stored by a distributed key-value data storage system according to the node information of the adjusted SP cluster; wherein the slot is related to a service request of a client. The scheme of the application solves the problem that the maximum newly established connection number, the maximum concurrent connection number and other indexes of the current traffic forwarding network element have upper limit bottlenecks by expanding and shrinking the capacity of the SP cluster, and the mapping relationship between the slot range and the SP node group is updated, so that the subsequent forwarding of the service request of the client is facilitated.

The invention relates to the technical field of network security, in particular to an industrial network security traceability analysis method based on a security agent. According to the method, real-time access logs are filtered and screened, and the association degree with each storage access log is calculated; calculating an abnormal access characteristic value based on the request rate and the concurrent connection number, transferring a data packet corresponding to the real-time access log of which the abnormal access characteristic value is smaller than a preset characteristic value into the simulated security agent, and recording the access data of the simulated security agent; judging whether isolation succeeds or not based on the isolation characterization value, including analyzing a task execution action corresponding to the real-time access log if it is judged that isolation succeeds; if it is judged that isolation is not successful, a plurality of storage access logs are determined based on the correlation degree, or it is judged that the real-time access data are first abnormal data to generate corresponding storage access logs. According to the invention, the behavior action of the visitor is analyzed for security tracing, so that the accuracy of industrial network security tracing analysis is improved.

The invention discloses a data center management system and management method fusing multiple databases, and the system comprises a data source layer which comprises a relational database, a continuous database and an artificial intelligence vector database, and collects the basic feature data of each database in real time, including the total data amount D, the daily average update record number U, the field dimension F and the concurrent access peak value C; the data access layer is internally provided with a self-adaptive connection pool module, establishes connection with the data source layer through JDBC and ODBC protocols and a database native interface, calculates a dynamic connection number N based on a concurrent access peak value C collected by the data source layer, and records response delay T of each connection at the same time; the data fusion layer comprises a semantic mapping engine and a heterogeneous conversion module, the semantic mapping engine constructs a cross-library ontology model based on the field dimension F of the data source layer, and semantic matching is achieved by calculating the cosine similarity Sim of entity attributes. According to the invention, data center management can be carried out more comprehensively.

The invention provides a multi-stage interactive group evaluation method based on a connection number. The multi-stage interactive group evaluation method comprises the following steps: S1, generating decision member evaluation information based on the connection number; s2, obtaining group interaction evaluation information of the initial scheme based on a contact number; s3, obtaining an interaction validity vector; s4, obtaining evaluation information after the current round of interaction; s5, obtaining group interaction evaluation information based on the contact number after the current round of interaction; s6, judging whether the group consensus of the group opinions can be terminated or not, if so, executing S7, and if not, executing S3; s7, obtaining an interaction stage weight; s8, adopting a weighted average operator to aggregate the weights of all interaction stages; and S9, directly comparing each final evaluation result based on the advantages and disadvantages of the correlation numbers. According to the method, different requirements of experts in various fields can be comprehensively considered, and dynamic adjustment can be carried out through a feedback mechanism under the condition of real-time data change, so that the scientificity and feasibility of a decision result are ensured.

The invention provides a request processing method and device.The method comprises the steps that in response to a received request, an array unit with the smallest subscript is selected from array units containing candidate instances to serve as a target unit; the subscripts of the array units represent connection numbers corresponding to the candidate instances in the array units; determining a target instance used for distributing the request from the candidate instances in the target unit; and moving the target instance from the target unit to the next array unit adjacent to the target unit, and distributing the request through the target instance. According to the embodiment, load balancing of the minimum connection number can be achieved, the load balancing effect is improved, the request response time is shortened, and meanwhile the expandability of the request processing method is improved.

The invention discloses a 5G signal optimization system based on Beidou positioning, which comprises a base station transmission unit, a Beidou positioning unit, a data acquisition unit, a data transmission unit, a data storage unit, a data processing unit, an intelligent regulation and control unit and a remote monitoring unit, and belongs to the technical field of communication networks. The system can collect and analyze multi-dimensional information including interference intensity of different signal frequency bands, environment humidity, bandwidth occupation, user connection number, network delay and included angle between a user moving direction and a signal base station orientation in real time, and then sends an alarm to a background terminal in time when an analysis result shows that the information is abnormal. When a user receives a 5G signal, a regulation and control instruction is given, a signal base station connected with the user 5G signal is intelligently switched through a base station switching module, the signal base station is switched to a signal base station with high signal transmission quality and a stable transmission process, and optimization of the 5G signal is realized.