8 results about "Object domain" patented technology

The present invention discloses a fault diagnosis method based on multi-dimensional knowledge transfer, the method comprising: obtaining a source domain data set and a multi-target domain data set; constructing a dual-branch neural network model based on data knowledge and semantic knowledge guidance, and training it, optimizing the model parameters with the optimization goal of minimizing the total loss function of the dual-branch neural network model; wherein the model comprises M+1 data knowledge guided branch networks and M+1 semantic knowledge guided branch networks; and using the trained dual-branch neural network model to perform fault diagnosis tasks in different target domains. The present invention can solve the negative transfer problem caused by forced alignment distribution in traditional transfer learning, and realize effective knowledge transfer from the source domain to multiple target domains from the perspective of multi-dimensional knowledge fusion, interaction, and driving; it can be applied to industrial operation and maintenance, rapid deployment and migration of industrial fault diagnosis tasks in various transfer learning scenarios, and has good learning effect and generalization ability.

The embodiment of the invention provides a data query method and device and a storage medium, and the method comprises the steps: building a business coordinate system according to an oil and gas business model, the business coordinate system comprises a main domain, a sub-domain and a knowledge graph, the main domain comprises an object domain and a business domain, the sub-domain comprises a working domain and a professional domain, and the knowledge graph comprises an object domain and a business domain; determining entity association of the main domain and the sub-domain by utilizing the knowledge graph; obtaining term features, sentence pattern structures and context information in a user question statement, and matching the term features, the sentence pattern structures and the context information with the service coordinate system to obtain key information of the user question statement; and identifying the key information through a query vector library to obtain a logical statement, and converting the logical statement into an executable SQL statement for data query. According to the method, the accuracy of data query is improved.

The application discloses a dynamic bit rate allocation method and system considering parallel multi-channel video encoding, comprising the following steps: distributing the obtained multi-channel parallel power monitoring video stream to the corresponding video encoding channel based on the channel mapping relationship, and performing object domain type and encoder capability identification; determining the target object domain of the video stream, and determining the semantic importance level of the target object domain; combining the semantic importance level of the target object domain, the internal encoding complexity and the area characteristics to calculate the video stream complexity score; determining the code rate allocation strategy based on the video encoding channel attribute, solving the optimal code rate allocation scheme based on the code rate allocation strategy according to the video stream complexity score to obtain the target code rate; and matching the optimal key parameters of the video encoder according to the target code rate to compress and encode the video stream. The application can effectively balance the video quality of each channel, improve the code rate resource utilization rate and the encoding efficiency, and take into account the video content value.

The embodiment of the invention provides a gas Internet of Things application system, an implementation method, electronic equipment and a storage medium, and the system comprises a target object domain, a perception control domain, a service providing domain, an operation and maintenance management and control domain and a user domain. Efficient access and standard operation management of internet-of-things data are promoted, high-quality data services are provided for business applications, data sharing and opening are achieved, the quality and value of data assets are improved, and decision making and innovation of enterprises are supported. A top-level framework support is provided for application of the gas transmission and distribution Internet of Things system from a macroscopic level, customizability and expansibility of upstream and downstream enterprises are supported, and collaboration and sharing among the enterprises are promoted.

A computer-based method for performing K-nearest neighbor (K-NN) queries on spatial data in distributed or parallel systems. The data consists of query and object data. The query domain is pre-partitioned, with an object domain calculated for each partition based on its geometry and K candidate objects. This domain determines the relevant objects for the K-NN query. If the query dataset is also partitioned in the same way, suitable objects can be retrieved selectively. The partitions and their objects are distributed across multiple processors, significantly reducing the amount of data per processor. Only objects within the respective object domain are considered. This method enables efficient, large-scale K-NN queries with low computational and data overhead while maintaining high accuracy.

A metadata management method and device of an AI data lake, a medium, and an electronic device, relating to the technical field of computers, the method comprising: in response to a first operation request for first metadata, parsing the first operation request to obtain first request information; a preset directory structure comprising at least a tenant domain, a directory domain, and an object domain nested in stages; in response to logical addressing information pointing to a first directory service of the plurality of metadata directory services, routing the first operation request to a first connector corresponding to the first directory service, the connectors corresponding to different metadata directory services having mutually isolated runtime environments, or the connectors corresponding to different types of metadata directory services having mutually isolated runtime environments; and executing the first operation on the first metadata in the first directory service through the first connector to obtain an execution result. Thus, tenant-level isolation and fine-grained access control of metadata are achieved, and dependency conflicts between different connectors are avoided.

The present disclosure provides a method, device and electronic equipment for determining an object domain name, the method comprising: determining digital information corresponding to an object name; determining the length of an object domain name array corresponding to the object name; and determining one object domain name in the object domain name array as a target object domain name according to the digital information and the length of the object domain name array.

The invention belongs to the field of avionics product reliability and testability design, and discloses a rule-based avionics system fault code design method, and fault codes comprise a single fault code and a combined fault code; the fault judgment result of the single fault code associated with the combined fault code is stored in the combined fault code. The single fault code comprises a code type, a single object domain identifier, a result identifier, a time identifier and a state identifier. The combined fault code comprises a code type, a combined object domain identifier, a result identifier, a time identifier and cause information.