83 results about "Destination site" patented technology

A system and associated methods provide solutions for end-to-end privacy and per-hop routing and policy decision in multi-hop and Software-Defined Wide Area Networks (SD-WANs) by leveraging unique SDWAN edge identities of edge devices. The system enables end-to-end encryption between traffic source and destination sites using IPsec ESP tunnel mode, with System IPs as the outer IP addresses. The system further enables per-hop integrity protection using IPsec AH transport mode, with WAN IPs as the outer IP addresses. By having some information encrypted between a source device and a destination device and other information encapsulated between hops (e.g., between source device and an intermediate device), the system enables route and policy lookup based on destination site System-IP, along with integrity protection based on SLA-class in packet metadata for independent path selection at intermediate hops.

Techniques are disclosed for rotating network addresses following the installation of a prefab region network at a destination site. A manager service executing within a distributed computing system can allocate a rotation network address pool to a root allocator service that may be configured to provide network addresses from network address pools to dependent nodes within the distributed computing system, with each dependent node associated with a corresponding first network address of the network address pools. The manager service can receive an indication that a second network address of the rotation network address pool is associated with a dependent node. In response, the manager service can execute and a migration operation for the dependent node to redirect network traffic within the distributed computing system from the first network address to the second network address.

The embodiment of the specification discloses a kind of station risk identification rule processing method, device and equipment, the method comprises: obtaining the site information of target network site to be identified;Based on the preset site identification demand information, corresponding prompt information is constructed, based on prompt information, using first large language model, generate first risk identification rule for target site based on site information;The first risk identification rule is extended and handled, and the rule population for target site is obtained;Each rule in the rule population is evaluated by a plurality of different modes by a preset multi-modal large model, to obtain the evaluation result of rule population;Based on the evaluation result of rule population, the rule population is iteratively optimized by difference evolution algorithm, to obtain the optimized rule population, based on the optimized rule population, determine the risk identification rule for target site.

The application discloses an AGV optimal path automatic memory storage scheduling method and system, which comprises the following steps: receiving task information; separately threading real-time cyclically reading the task information; selecting an AGV vehicle meeting a current task; matching a path planning from a site where a current vehicle is located to a task destination site in an optimal route cache set, if the path planning exists, directly selecting an optimal planning, if the path planning does not exist, re-planning an optimal path according to a path planning method and storing the optimal path into an optimal cache for next time matching and use; converting the optimal planning into a task execution instruction; and sending the task execution instruction to the AGV through a TCP protocol.

The embodiment of the invention provides a dynamic scheduling method, system and device for a carrying vehicle, a medium and a product. The method comprises the steps of obtaining a current station where the carrying vehicle is located and a current formula step; according to the current station and the current formula step, a path planning table of the carrying vehicle for executing the current transportation task is inquired, the next target station of the carrying vehicle is determined, and all stations and the next station corresponding to the formula step are recorded in the path planning table; and controlling the carrying carrier to move from the current station to the next target station. By means of the method, the next target station is jointly determined by the current station and the formula step, and process driving is achieved. The whole scheduling process is coupled with the production process, the transportation task can be changed after the transportation task is issued, and the real-time state change of the production line is responded.

Tables are selected based on timestamp columns to obtain tables changed during a given time period and the selected tables are split into data blocks based on given partition ranges. Changes to data of the data blocks are incrementally copied into datasets. One or more tablespaces identified using a first structured query language query corresponding to a specified timestamp are unloaded based on output of the incrementally copying changes operation. Data of a source site and a target site are compared based on data blocks having the specified timestamp.

The invention provides an aircraft networking task planning simulation verification method and system. The aircraft networking task planning simulation verification method comprises the following steps: calling a preset group website site layout algorithm, and generating sight distance group website site layout information; based on a preset cross-regional networking switching algorithm, performing adaptive pre-switching judgment in combination with a preset flight path and a target station coverage range, and generating a sight distance networking cross-regional switching strategy; synchronously and dynamically simulating a pose change process of the aircraft along a preset flight path and establishment, maintenance, interruption and switching processes of a sight distance communication link between the aircraft and a target site based on the sight distance group site point layout information and a sight distance networking cross-region switching strategy to obtain simulation data; and verifying the generated sight distance group website point layout information and the sight distance networking cross-region switching strategy based on the simulation data. According to the technical scheme, a more accurate and reliable verification means can be provided for aircraft sight distance networking planning.

Techniques are disclosed for building a region at a prefab factory. A manager service can receive a build request. The manager service can generate, based on the build request, a physical build request for building physical resources within the prefab factory. The manager service can receive an indication that the physical resources corresponding to the physical build request have been built. In response, the manager service can implement a virtual bootstrap environment at a second data center communicatively connected to the prefab factory. The manager service can deploy software resources to the physical resources using the virtual bootstrap environment. The manager service can configure the physical resources for transmitting to a destination site by at least generating an inventory of the physical resources and generating a network configuration corresponding to a network topology of the physical resources in the prefab factory.

The invention discloses a route processing method and device, equipment and a readable medium. The invention relates to the technical field of computers. The method comprises the following steps: adding a label field and an Ethernet segment identifier field to a routing table item of a host at a routing processing end; when it is identified that the host migrates from the original site to the target site, updating the tag field and the Ethernet segment identifier field in the routing table item according to a preset rule to obtain an updated value of the tag field and an updated value of the Ethernet segment identifier field; and under the condition that the update value of the tag field and the update value of the Ethernet segment identifier field meet a preset revocation condition, deleting the corresponding routing path in the routing table entries. By adopting the technical scheme, when the host is migrated to a non-ESI domain or a new ESI domain from an original ESI domain, an effective route can be prevented from being deleted by mistake, and the efficiency of the host is improved. Routing continuity and service non-interruption in the migration process are guaranteed.

Configuration and usage data associated with a security system for each of a plurality of existing sites may be received, including a spatial model for the security system of the corresponding existing site and historical access data for the security system of the corresponding existing site. An Artificial Intelligence (AI) model is trained using the configuration and usage data associated with the security systems of the plurality of existing sites. Site information for a target site is received and is submitted to the AI model, wherein in response, the AI model automatically generates a spatial model for a security system of the target site and configuration parameters for the security system of the target site. The generated spatial model and the configuration parameters for the security system of the target site are subsequently used to setup and operate the security system at the target site.

The invention belongs to the technical field of energy scheduling, and particularly relates to a scheduling method and device of mobile energy storage charging equipment, a computer readable storage medium and electronic equipment. The method comprises the following steps: acquiring real-time load power and real-time charging demand power of a target station in a current scheduling time period; wherein the target station comprises more than one mobile energy storage charging device; obtaining predicted load power and predicted charging demand power of the target station in each scheduling time period after the current scheduling time period; according to the real-time load power, the real-time charging demand power, the predicted load power and the predicted charging demand power, determining physical state information of each mobile energy storage charging device in the target station in each scheduling period; wherein the physical state information comprises at least one of the following items: a connection state flag bit, a service state flag bit, charging power and discharging power; and determining a scheduling result of each mobile energy storage charging device in the target station according to the physical state information.

This application belongs to the field of robot control technology, and relates to a robot control method, device, computer equipment, and storage medium, including: acquiring a target station to be reached by the robot; determining an initial planned path for the robot to reach the target station based on the target station; scanning multiple reflective pillars preset on the initial planned path to obtain multiple point cloud data of the multiple reflective pillars, with one reflective pillar corresponding to a set of point cloud data; adjusting the initial planned path based on the multiple point cloud data to obtain a target planned path; controlling the robot to reach the target station based on the target planned path; acquiring a target material to be grasped by the robot; controlling the robotic arm to photograph a preset QR code on the target material at the target station to obtain a QR code image; determining the movement compensation value of the robotic arm based on the QR code image; and controlling the robotic arm to grasp the target material based on the movement compensation value. This application effectively improves the handling accuracy of composite handling equipment in material handling.

Technology for a mobile prefabricated factory for constructing a regional data center is disclosed. This mobile prefabricated factory may comprise a storage enclosure configured to house the physical computing resources of the data center, a networking device, a power supply electrically connected to the networking device, and multiple computing devices of physical computing resources that are communicated to the networking device and electrically connected to the power supply. A management service can configure the computing devices for delivery to the target site by implementing a seed server device for the multiple computing devices and implementing a software resource repository in the seed server device. During transport of the storage enclosure, the seed server device can deploy software resources to the multiple computing devices.

The invention belongs to the technical field of electric power detection, and particularly relates to an accident automatic analysis and voice notification method driven by a power grid monitoring bionic robot. The method comprises the following steps: step 1, a power grid monitoring bionic robot terminal inspects at a target site and acquires video data, audio data and environment state data; generating a sensing data block set; 2, loading and solidifying a dictionary atom library, and respectively establishing a visual observation block, an acoustic observation block, an environment observation block and corresponding residual masks; 3, within 100 milliseconds of a fixed time window, unmarked areas form uninterpreted conflicts; 4, based on the candidate explanation set, generating an accident judgment result, a severity grade and an influence range according to a preset rule; the method has the advantages of being high in detection accuracy, traceable in interpretation result, complete in notification content and capable of directly guiding emergency disposal.

The application discloses a kind of based on the alignment of multi-source data job violation behavior online identification method, specifically related to the field of violation identification, including S1, the multi-modal data of source site and target site are synchronously collected, and corresponding pre-processing operation is executed to each type of data;S2, construct domain alignment model, combine multi-dimensional alignment strategy and loss function, realize source-target site data domain adaptation by optimization algorithm;S6, receive online incremental data and process, based on feature similarity adaptive optimization model parameters, combined with performance evaluation realizes model update and rollback;S8, based on confidence score division alarm level, combined with delay constraint execution hierarchical alarm and multi-system linkage operation;The application is integrated multidimensional data by multi-source data acquisition and pre-processing, provides high-quality, multi-directional data support for violation identification, improves the reliability of the data source of identification.

The present application belongs to the technical field of power detection, and particularly relates to a power grid monitoring bionic robot driven accident automatic analysis and voice reporting method; the method comprises the following steps: step 1: the power grid monitoring bionic robot terminal inspects at a target site, collects video data, audio data and environmental state data; a perception data block set is generated; step 2: a solidification dictionary atom library is loaded, and a visual observation block, an acoustic observation block and an environmental observation block and corresponding residual error masks are respectively established; step 3: within a fixed time window of 100 milliseconds, unexplained conflicts are formed by regions that have not been marked; step 4: based on a candidate explanation set, an accident determination result, a severity level and an influence range are generated according to a preset rule; the present application has the beneficial effects of high detection accuracy, traceable explanation results, complete reporting content and direct guidance for emergency disposal.

This application relates to a data reading method, apparatus, electronic device, and storage medium. The method includes: receiving a data reading request, the data reading request including index information of a target object; obtaining the synchronization status of the target object; in response to an incomplete initial synchronization, determining the primary site as the target site and a first local storage bucket as the target data address; reading target object data from the first local storage bucket according to the index information; in response to a completed initial synchronization, obtaining the deletion status of the target object and the deletion policy of the object storage system; determining the target site and the corresponding target data address based on the deletion policy and deletion status; and reading the target object data from the target data address of the target site according to the index information. This method ensures that the data obtained by the user on different sites remains consistent and is always the latest version of the object.

The application discloses an AGV carrying tray error calibration method and system, a computer and a storage medium, and the method comprises the following steps: acquiring first point cloud data detected by a fork laser radar in real time and acquiring second point cloud data detected by a vehicle body laser radar in real time; optimizing and adjusting AGV path data according to a path optimization checking rule, the first point cloud data and the second point cloud data, so that the AGV travels to a picking and placing target site according to an optimal path; when the picking and placing target site is reached, performing a goods location coordinate checking process according to the first point cloud data and the second point cloud data; judging whether the goods location coordinate checking result is a preset checking result, if the judgment is yes, it indicates that the goods location coordinate checking is successful, and the picking and placing work is performed, if the judgment is no, it indicates that the goods location coordinate checking is unsuccessful, and the alarm work is performed. The application can reduce the problems of picking and placing abnormalities or failures caused by the cumulative error of the tray, and has high carrying precision and stability.

The application discloses a WAF rule evaluation method based on a regular analysis tree, relates to the technical field of WAF rule evaluation, and collects regular expression protection rules of an open source WAF as seeds, analyzes and constructs an expression library based on a regular analysis tree, then performs SQL syntax word recognition on a sent test expression, matches all related expressions in the rule expression library through SQL syntax words, traverses the sent expression request, judges whether the target site WAF protection rule is bypassed according to site feedback information, and further evaluates the rule protection capability of the target WAF system. The application can quickly and accurately deduce the target site WAF protection rule, and can reliably and accurately evaluate the protection capability of the target site WAF system.

The invention discloses a flow feature confusion method based on an AI virtual human, and the method comprises the steps: S1, configuring the basic attributes of the virtual human and a preset behavior strategy, and automatically obtaining the fingerprints of Internet access equipment of a user; s2, virtual human environment fingerprint camouflage is carried out by configuring a containerized operation environment and adjusting browser fingerprints; s3, dynamically generating behavior parameters for determining a virtual human online task based on LLM drive of preset parameters; and S4, the virtual human calls a local browser driver on line based on the behavior parameters obtained in the S3, simulates human to access the target site and generates feature traffic. According to the method, the virtual human Agent is driven by the AI, the mixed flow is generated by autonomously acting on the network, the user identification and tracking technology of the network access target based on the flow signal characteristics is effectively interfered, the signal statistics characteristics of the user internet surfing flow can be effectively mixed, and the method is suitable for the network privacy protection requirements in various scenes.

The application provides a garbage collection and transportation information processing method, an electronic device and a storage medium. The method comprises the following steps: in response to a triggering operation of a user on a site selection control, acquiring a current position of the user, and determining and displaying at least one candidate site to the user according to the current position; in response to a triggering operation of the user on a target site in the at least one candidate site, determining a target work route corresponding to the target site, determining work information of a work vehicle in the target work route, and displaying the work information to the user, wherein the work information comprises a current work position of the work vehicle, a time length of the work vehicle to the target site, and completed sites and to-be-completed sites of the work vehicle. The user can accurately obtain garbage truck work information.

The application provides a data processing method, device and equipment, wherein the data processing method comprises the following steps: obtaining a first to-be-matched pinyin of a to-be-processed site name and a first target pinyin of first information in a first target site name corresponding to the to-be-processed site name; obtaining a first processing result of whether the to-be-processed site name belongs to fuzzy resource information according to the first to-be-matched pinyin and the first target pinyin; performing word segmentation on the to-be-processed site name to obtain at least one first segmentation result; obtaining a second processing result of whether the to-be-processed site name belongs to fuzzy resource information according to the at least one first segmentation result and a reference site name; and obtaining a final result of whether the to-be-processed site name belongs to fuzzy resource information according to the first processing result, a first weight coefficient, the second processing result and a second weight coefficient. The present scheme solves the problems of low efficiency and high labor cost of the data processing scheme for determining fuzzy resources in the prior art.

This disclosure provides a method, apparatus, electronic device, and storage medium for determining the departure time of a vehicle, relating to the field of artificial intelligence technology, particularly to the fields of the Internet of Things, intelligent transportation, and big data. The specific implementation scheme is as follows: for a target station, multiple candidate time sequences are determined based on the departure interval and predetermined fluctuation duration of the vehicle; for each candidate time sequence, an evaluation value is determined based on the difference between the candidate time sequence and historical time sequences; and based on the multiple evaluation values, a target time sequence is determined from the multiple candidate time sequences to obtain multiple departure times for the target station.

The embodiment of the invention provides a position-based edge site scheduling method and device, equipment, a medium and a program product. The method comprises the following steps: acquiring position information of each edge site and movement information of a terminal; determining a source site and a target site according to the position information and the movement information; determining a first instance accessed by the terminal at the source site; generating a scheduling strategy and a synchronization strategy according to the source site, the target site and the terminal; and sending the scheduling policy and the synchronization policy to the source site and the target site, so that the target site establishes a second instance for recovering the first instance at the target site based on instance synchronization information synchronized by the source site. According to the method, on the basis of geographic position prediction and cross-site state synchronization, non-inductive migration of instances of the terminal between edge sites is realized, the service recovery time is shortened, the service continuity is improved, and the user experience of a user in a mobile scene is improved.

The present invention provides a program, computer 10, system, and information processing method that can more efficiently process evidence data uploaded by a client's trading partner company to an authorized acquisition site 50. [Solution] The program causes the computer (management server) 10 to function as a proxy information receiving means 14 and a document data receiving means 20. The proxy information receiving means 14 receives proxy information including client identification information from the client terminal 30, and the document data receiving means 20 receives document data obtained from the proxy acquisition destination site 50, linked to the client identification information.

The application provides a directory scanning method and device in a penetration test scene and a storage medium, and relates to the technical field of information collection; the method comprises loading a single configuration item in a set scanning mode; generating a dictionary configuration item and a target thread number according to a current operating system of a target site; scanning and analyzing the directories in the target site according to an imported initial dictionary library and the dictionary configuration item, adjusting the dictionary strategy configurable item in the initial dictionary library according to the hit condition of the dictionaries in the initial dictionary library, to generate a new dictionary library, and obtaining the final new dictionary library through multiple scanning tasks; constructing a hit rate training model through the final new dictionary library, scanning the directories in the target site according to the hit rate training model, and outputting the scanning result of sensitive files. The dictionary variable can be continuously adjusted according to the hit condition of the dictionary, so as to gradually match whether the scanning configuration conforms to the expected effect, the scanning efficiency of the directories is effectively improved, and the false positive rate and the false negative rate are effectively reduced.

The invention relates to the technical field of power systems, and discloses a power grid anti-misoperation method, system and device, a medium and a product, and the method comprises the steps: responding to a dispatching order received by a target site, generating a static electronic fence according to the dispatching order and a topological graph of the target site, responding to an operation request of an operation order, obtaining an operation sequence corresponding to the operation order, and sending the operation sequence to the target site; the static electronic fence is compared with the operation sequence, the static electronic fence is adopted to confirm that the operation order is consistent with the dispatching order, under the condition that the request result is that operation is allowed, the checking request of the current operation step is executed according to the operation sequence, and whether the to-be-operated equipment has an abnormal scene or not is judged according to the operation information of the to-be-operated equipment; the dynamic electronic fence is generated according to all the to-be-operated devices with the abnormal scene, the current operation step is forbidden to be executed on the to-be-operated devices after the dynamic electronic fence is generated, the dynamic electronic fence is cleared until it is judged that the abnormal scene disappears, the operation ticket continues to be executed, and misoperation caused by abnormity is avoided.

The invention discloses a decision suggestion generation method and device for adding site services, and the method comprises the steps: obtaining quantitative data corresponding to a to-be-added service item for each to-be-added service item, including demand data, competitive data, target site capability data and cost income data, carrying out the fuzzy processing of the quantitative data, and obtaining a decision suggestion of the to-be-added service item; obtaining a fuzzy set group G1 corresponding to demand data, obtaining a fuzzy set group G2 corresponding to competitive data, obtaining a fuzzy set group G3 corresponding to target site capability data, obtaining a fuzzy set group G4 corresponding to cost income data, performing fuzzy logic reasoning on the fuzzy set groups G1, G2, G3 and G4 corresponding to the to-be-added service item, and obtaining a fuzzy set group G4 corresponding to the to-be-added service item; the decision suggestion corresponding to the to-be-added service item is generated according to the to-be-added service item, fuzzy logic reasoning can be carried out according to market dynamic requirements, competitive environments, operation capability and income, the complexity and uncertainty of the market environment are reduced, and accurate and scientific decision suggestions for adding site services can be provided.

This application provides a circuit multi-route bearer analysis method, system, electronic device, and storage medium, belonging to the field of communication technology. The method utilizes neural network technology to identify the actual transmission network topology map and obtain computer-processable transmission network topology data. For a set of target relay service data including multiple relay circuits, where each relay circuit has the same source and destination sites and relay type, the method queries the transmission network topology data based on the source and destination sites to obtain multiple second route information that can carry the corresponding circuits. By comparing and analyzing the first route information and multiple second route information of the multiple relay circuits in the target relay service data, the circuit multi-route bearer analysis result is obtained. The multi-route bearer analysis result includes one of the following: route construction requirements, reasonable route bearer configuration, or route bearer adjustment scheme. This application can automatically manage and reasonably allocate the transmission network bearer routes of relay circuits, reducing service failure rates.

The invention relates to the technical field of the Internet, and discloses a newly-added page content collection method, device and equipment, a storage medium and a computer program product, and the method comprises the steps: recognizing a list page in a target site, recognizing a seed page in the list page according to the new chain generalization ability of the list page, and collecting the newly-added page content of the target site based on the seed page; the newly-added page content of the target site is collected by identifying the seed page in the target site, and the seed page is the page which is updated more frequently in the target site, so that the newly-added page content can be obtained only by scanning the seed page in the target site without scanning the whole site; therefore, the collection cost of the newly-added page content is reduced, the collection efficiency of the newly-added page content is improved, and the timeliness of the newly-added page content is improved.