12results about How to "Implement auto-discovery" patented technology

The invention provides an industrial robot safety monitoring method and system, and relates to the technical field of safety monitoring, and the method comprises the steps: arranging a multi-mode sensor array to collect the state information of a robot; performing empirical mode decomposition on the vibration signal to obtain an intrinsic mode function reflecting the abrasion degree of the robot transmission system; performing wavelet transform on the temperature signal to obtain a temperature feature set reflecting the heat dissipation condition of the robot; through knowledge extraction, knowledge representation and knowledge fusion technologies, semantic representation and linking are carried out on various knowledge in robot components, performance parameters, degradation modes and maintenance measures, and a management knowledge graph corresponding to the robot is constructed; and performing reasoning mining on the management knowledge graph based on a rule mining algorithm of path sorting, extracting degradation characteristics corresponding to each component of the robot in the management knowledge graph by mining a reasoning path formed by frequently co-occurring entities and relationships, and predicting a health state trend of the robot in combination with a pre-constructed time sequence prediction model.

The invention discloses an energy digital network-oriented data fusion discovery method, system and device and a medium. The method comprises the following steps: acquiring each energy digital object oriented to an energy digital network; combining the feature attributes extracted from the metadata of each energy digital object to obtain a text statement set of each energy digital object; utilizing a pre-training language model to extract semantic features of the energy digital object according to the text statement set, and generating a corresponding semantic feature vector; clustering the semantic feature vectors, performing pairwise similarity calculation on energy digital objects in each cluster in an optimal clustering result, and combining the energy digital objects with similarity to form a similar energy digital object combination set; fusing the energy digital objects in each combination in the similar energy digital object combination set to construct a new energy digital object; and complementation of cross-domain energy data is realized.

The invention relates to the technical field of Internet of Things, in particular to a soft bus self-discovery technology for operating a light-weight electric Hongyu Internet-of-Things operating system. The technology is based on an OpenHarmony open source system, automatic discovery, connection and management of the Internet of Things equipment are realized in the power transformation system, and the intelligent level of the power transformation system is improved. According to the invention, the automatic discovery and connection of the Internet of Things equipment are realized through the soft bus technology, the equipment connection mode is simplified, and the compatibility and expandability of the system are improved. Meanwhile, the technology also realizes the unified management and remote control of the equipment, and improves the intelligent level and operation efficiency of the power transformation system.

The invention discloses a zero-load interface security protection method and device, electronic equipment and a storage medium, and the method comprises the steps: reading an access log of a business service, and dividing an intranet access log and an extranet access log according to a remote access IP field in the access log and a preset intranet IP address range; determining an accessed intranet domain name and an accessed extranet domain name according to the intranet access log and the extranet access log; searching service item deployment positions of the intranet domain name and the extranet domain name to obtain a service item deployment file, and extracting an interface address of the corresponding domain name according to the service item deployment file; determining an open range to the outside of the interface address, obtaining a public network open interface and an intranet access interface, and assembling to obtain an interface complete link of the public network open interface and the intranet access interface; and performing abnormal access identification according to the interface complete link, and intercepting an abnormal access behavior. The safety protection capability of the interface and the safety of the system are improved, and the method can be applied to the technical field of information.

Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can extract structured information for unstructured document analysis. Embodiments of the present invention can extract structured information for unstructured document analysis by identifying tables and columns in a database corresponding to business terms of a business glossary. Then, embodiments of the present invention can receive a designation of a business term of interest identified in an unstructured document. Then, embodiments of the present invention can generate an analysis module based on the identified tables and columns, which enables the identification or recognition of attribute values ​​of the attributes of the tables and columns. Then, embodiments of the present invention can use the analysis module to automatically extract the values ​​of at least some attributes from the unstructured document based on the designation of the business term of interest.

This invention relates to an automatic configuration and recovery method for communication radio frequency units, specifically in the field of communications. This method constructs a dynamic graph integrating configuration, performance, and topology relationships, and utilizes a spatiotemporal graph neural network to learn a network health benchmark. This enables the automatic discovery of implicit parameter conflicts introduced by manual configuration. Its community-based subgraph partitioning and consistency evaluation mechanism can accurately locate abnormal radio frequency unit groups causing performance degradation. By simulating and evaluating multiple repair schemes in parallel within a digital twin environment, the optimality and security of the recovery decision are ensured. Ultimately, a complete closed loop is formed from intelligent detection, precise location, simulation optimization to secure execution, significantly improving the automation level and problem-solving efficiency of network operation and maintenance, and effectively avoiding chronic performance degradation caused by configuration errors.

The invention relates to an error log analysis method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: under the condition that an external request is received through a gateway and the external request is a legal request, acquiring a global identifier from a log acquisition service through the gateway; and adding the transmission packet containing the global identifier to the external request through the gateway, and distributing the external request carrying the transmission packet to the target service node, so that the target service node processes the external request to obtain a processing result, reporting log information corresponding to the processing result and the transmission packet to a log service node corresponding to the target service node; and reporting the log information and the transmission packet to a log acquisition service through the log service node, so that the log acquisition service determines error log information and a call chain sequence corresponding to the error log information based on the global identifier in the transmission packet. By adopting the method, the analysis efficiency of the error logs can be effectively improved.

The invention relates to the technical field of data processing, and provides a batch updating method and device, electronic equipment and a computer readable storage medium. The method comprises the following steps: scanning a local area network, and obtaining an online PLC equipment list; performing matching verification on the online PLC equipment list and a preset updating target list to obtain a to-be-updated target PLC set; sending the target firmware file to each PLC in the target PLC set; receiving a verification response message from each target PLC, wherein the verification response message is used for indicating a result of performing integrity verification on the received firmware file by the target PLC; and under the condition that verification is passed, a firmware updating instruction is sent to each target PLC, and the firmware updating instruction is used for instructing the target PLC to write the received firmware file into an internal storage area of the target PLC while the target PLC keeps running of the current control program of the target PLC.

The invention discloses an optical glass finish-milling and grinding device, which belongs to the technical field of optical glass processing, and is characterized in that a plurality of bottom plate assemblies and monitoring pipe assemblies of a monitoring and grinding assembly are accurately fed into tubular optical glass through cooperative control of a hydraulic rod and an electromagnet; the heating rod preheats the attaching liquid in the attaching bag, so that the attaching liquid is melted and solidified at the burr protrusions to form protrusion marks; the piezoelectric film generates voltage when sensing burr pressure to drive the electrochromic material to change color, data analysis is performed after the color capture camera captures the color, and finally the intelligent grinding head performs accurate grinding according to the data, so that the grinding efficiency is improved, damage to a non-target area is reduced, and the grinding quality is improved. The tubular optical glass can be repeatedly used through the reversible property of the material, the whole device ensures that the grinding process only acts on a burr area through a feedback mechanism, other parts of the tubular optical glass are prevented from being damaged, the grinding precision of the inner wall of the tubular optical glass is improved, and the production efficiency is remarkably improved.

The application discloses a software test problem positioning and repairing method and device. The method comprises the following steps: collecting log data in a software test process, taking a log event as a node, taking a causal relationship, a time sequence relationship and a module correlation relationship between events as edges, and constructing a test log correlation graph; adopting a graph neural network to update and classify node features of the test log correlation graph, adding an abnormal propagation weight factor in a node updating formula, positioning an abnormal source node in the test log correlation graph, and taking the abnormal source node as a log event corresponding to a problem root cause; based on the abnormal source node, combining code execution paths and data dependency relationships to verify the root cause, extracting a code segment corresponding to the abnormal source node through a program slicing technology, and tracing input data and an intermediate calculation process corresponding to the abnormal source node through data dependency analysis, and confirming the accuracy of problem root cause positioning.

The application relates to the field of servers, in particular to a cabinet server monitoring operation and maintenance system, a cabinet server monitoring operation and maintenance method and a cabinet. The system is connected to a switch operating system, is automatically started when the system is started and starts a DHCP service. The system comprises an asset module which is used for monitoring the port state of switches in a cabinet to determine whether a server node is connected, obtaining server configuration information when the server node is found and sending a node addition message; a control module which is used for performing network configuration on the connected server node after receiving the node addition message; a monitoring module which is used for monitoring the running state of the connected server node to generate a standardized alarm object and sending the standardized alarm object by using the configured network; and an alarm module which is used for receiving the standardized alarm object and performing alarm generation, upgrading, downgrading, merging and clearing operations on the standardized alarm object to generate alarm messages of each server node. The scheme of the application realizes automatic discovery and monitoring operation and maintenance of cabinet server nodes.

The invention discloses a cable fault abnormal data self-checking method and system based on multi-source traveling wave comparison, and relates to the field of power system protection and fault diagnosis. Under the condition that sampling clocks are inconsistent, overlapped data segments which can be mutually correlated are formed through same-window triggering collection and caching; performing wave head transient feature extraction on the multi-phase sheath traveling wave, obtaining the relative time difference of each channel by using cross correlation, and constructing a relative time difference matrix and an energy ratio matrix in combination with a wave head neighborhood energy ratio; generating a normalized reliability weight according to the signal-to-noise ratio and the energy consistency, jointly estimating the arrival time of each channel wave head in a weighted iteration time estimation model, identifying and correcting outlier abnormal data, and obtaining a self-checked arrival time sequence; and the position / segment length of the grounding box and traveling wave propagation velocity mapping are combined to output the position of a fault point. As a result, reliable positioning without high-precision synchronization is achieved.