79 results about "Tree diagram" patented technology

A method for Fault Tree Map generation employs to transformation of Fault Trees of production installation, specific installation, technical system (Hardware and integrated Hardware / Software) to new Fault Tree diagram (Fault Tree Map), which permits drastically compact the Fault Tree depiction and facilitates performing of the Fault Tree qualitative analysis, including evaluation of combination of latent failures and evident failures, repeated events and critical events position influence, and failure propagation potentiality, besides facility of localization of each Fault Tree logical Gate and relevant failures in the fault tree printed report. Generation takes place using special symbols, which permit to reflect the Fault Tree logic, present all Fault Tree failures with graphically identification of the failure type, and show the failure repetition and also the failure critically (importance) to Fault Tree Top Event probability. The method presents exceptional advantages to analysis of large-scale, extended Fault Trees, allowing vastly decrease the time of analysis and elevate the analysis quality and Fault Tree perception, including for specialists, who are not the Fault Tree authors.

The invention belongs to the technical field of dam safety reconnaissance, and discloses a comprehensive evaluation method for the dam safety. The method comprises the following steps that 1, a hierarchical structure model of a dam safety system is constructed to generate a tree diagram which takes an objective layer and a criterion layer as a father-son relationship and takes the criterion layer and a factor layer as a father-son relationship; 2, weights of all factors are obtained on the basis of an analytic hierarchy process; 3, objective weight values of all the factors are obtained on the basis of an entropy weight method; 4, a comprehensive weight of indexes is calculated; 5, the evaluation conclusion membership degree is judged; 6, comprehensive evaluation is performed on the dam properties. According to the comprehensive evaluation method for the dam safety, expert knowledge, engineering experiences and measurement data can be utilized more fully, and the dam working properties can be analyzed and evaluated more comprehensively and thoroughly; in addition, an algorithm is clear, easy to achieve and good in robustness, and the method can serve as a more reliable decision aid mean in dam safety management.

The invention provides a method and a device for automatically guiding recovery processing flow in real-time. The device displays corresponding failure flow in real-time according to the current data dynamic state, automatically judges the failure state, and automatically rightly indicates executed troubleshooting operation, executing troubleshooting operation and troubleshooting operation to be executed in the next step, thereby helping the troubleshooting personnel rapidly and rightly complete the whole recovery processing flow, lowering risks of the error operation and leakage operation, and shortening the whole troubleshooting time. The invention comprises a method of organizing, describing, storing and analyzing failure knowledge, and the method and the device for automatically guidance through dynamically displaying the recovery processing flow and the failure state by a computer system. The computer system comprises a failure knowledge editing module and a real-time failure guiding module, and necessary components such as a primitive entity attribute page, a real-time data analysis and identification component, a tree diagram component, a figure diagram component, a failure knowledge component, and the like.

The invention discloses a digital currency flow direction tracking method in a block chain, and relates to the technical field of block chains and digital currencies. The digital currency flow direction tracking method comprises the following steps: labeling a user address of an exchange or a transaction platform and analyzing data on a chain of a to-be-checked or to-be-monitored address, whereinthe user address label is used for analyzing a general ledger address and monitoring, analyzing and cleaning the general ledger address, and the on-chain data analysis is used for capturing an associated transaction address from the on-chain to-be-checked data, displaying the associated transaction address in a tree diagram, performing reverse upward tracing to obtain user information of the transaction address, and marking relevant user identity information in an information county by a supervision department. By analyzing the transaction data, analyzing the fund flow direction and tracking the identity information of the transaction user, the occurrence of illegal financial crimes engaged in digital currency is reduced and prevented, and the effective identity information and case cluesof anonymous traders can be provided for related departments for the occurred events, so that the supervision effectiveness and efficiency are improved.

The embodiment of the invention provides a test case application method and a related product. The method comprises the steps of collecting a first test case selected by a target object in a test case library, taking the first test case as a root node of the tree diagram, and obtaining other test cases associated with the first test case and an association relationship, generating at least one tree diagram according to the incidence relation and other test cases, and generating a loading directory corresponding to the tree diagrams based on the subordination relationship among the root nodes in each tree diagram, so as to display a target tree diagram corresponding to the target entry based on the user triggering information. According to the technical scheme, when any test case is selected by the target object, the tree diagram with the first test case as the root node can be automatically generated, the tree diagram is displayed, then the relationship between the case libraries is determined through display, test case brain diagram display of any granularity is completed, the data display efficiency can be improved, and large-capacity test cases are managed in a unified manner.

The invention particularly relates to an application template configuration method based on a tree structure. The application template configuration method based on a tree structure is based on an Angular language and an ng-zorro-antd framework, and comprises two classes of json2Tree and tree2Json; the method comprises the steps of converting a YAML format file into a JSON format, traversing configuration items in the JSON format, drawing a tree diagram, guiding a user to performing template configuration in a tree diagram mode to enable the template to support editing, storage and format conversion, and forbidding the user to modify names of the configuration items. According to the application template configuration method based on the tree structure, the user is forbidden to modify thename of the configuration item, so that configuration errors can be prevented; a hierarchical structure of configuration is more clearly displayed through a tree structure, so that the user can browseand search configuration items conveniently; data types are distinguished by using different color labels, so that a user can conveniently check the legality of configuration parameters; mutual conversion between files of different formats can be achieved, more modes can be provided for a user to configure the template, and the flexibility is improved.

The embodiment of the invention discloses a power distribution network online fault positioning system and method, and the system comprises an on-site regulation and control unit which is used for being installed on each node and each power distribution branch of a power distribution network, and achieving the real-time data collection and adjustment and control of the power distribution network;a positioning navigation unit which is used for distinguishing names of the on-site regulation and control units; an information processing system which is used for carrying out real-time processing on the acquired data of the on-site regulation and control units; a wireless communication unit which is used for carrying out data interaction on the information processing system and the on-site regulation and control units; a virtual tree diagram creation unit which is used for concretizing the on-site regulation and control units according to a graphic representation form and generating a virtual tree diagram in a father-son hierarchical structure; and a logic link establishing unit which is used for establishing a logic association relationship among the on-site regulation and control units of different hierarchical structures and automatically positioning the fault position of the power distribution network on line. According to the scheme, fault positioning operation is automaticallycarried out through logic relation analysis, and thus power distribution network fault positioning can be conveniently, rapidly and timely carried out.

The invention belongs to the technical field of electric power, and discloses a model for analyzing influence degree of interference of external factors on an electric power energy consumption system. The model comprises electric energy transmission loss, and the electric energy transmission loss comprises variable loss, fixed loss and management loss. According to the method, the electric energy loss existing in the electric energy transmission process is divided into three parts, then an adjustable and changeable part is found according to the specific consumption reason of the electric energy loss, adjustment is conducted on the variable loss, the variable loss is divided into wire loss and corona loss, and the corona loss is a part with more change factors relatively, so that the corona loss is specifically separated out, meanwhile, the corona loss is most easy to change and effectively presented, related personnel can complete drawing of a tree diagram or a pie diagram according to an obtained result after treatment is completed, existing problems are effectively displayed, follow-up related personnel can conveniently carry out targeted treatment, and the transmission electric energy loss is reduced to the greatest extent.

The invention discloses an intelligent scientific research management system based on a big data technology. The intelligent scientific research management system comprises a user module, a backgroundinformation storage module, a background information statistics module and a background data analysis module, the background information storage module is used for storing scientific research management information data; the background information statistics module is used for querying and exporting data from the background information storage module according to user-defined requirements; the background data analysis module is used for carrying out data processing on the data of the background information storage module through a big data analysis technology, and the data processed by the background data analysis module is used for reference of the background information storage module; the background information storage module disassembles different management projects of the scientificresearch management information data according to a tree diagram classification mode; according to the invention, a database is maintained in various modes, and each acquisition unit can construct abasic database by inputting, uploading and importing data from an existing management system; the statistical report is generated as required, and secondary processing on a system export table is notneeded.

A design verification method, comprising providing a circuit design; creating a stimulus tree diagram for the circuit design, wherein the stimulus tree diagram comprises L stimuli, M checkpointed splits, and N non-checkpointed splits; and executing the stimulus tree diagram, wherein said executing the stimulus tree diagram comprises, for i=1, . . . , M, executing an ith checkpointed split of the M checkpointed splits, wherein said executing the ith checkpointed split comprises (a) saving an ith context of an ith simulation environment in which said executing the stimulus tree diagram is performed; and (b) after said saving the ith context is performed, executing from the ith context along Pi paths of the stimulus tree diagram branching from the ith checkpointed split, wherein the ith checkpointed split is a Pi-way split, Pi being an integer greater than 1.

A subjective and objective interpretable Mongolian rumor detection method of a bidirectional graph neural network uses an evidence retrieval module to retrieve evidence, including document retrieval, evidence retrieval and statement verification; constructing two heterogeneous graphs, namely a bidirectional tree graph and an evidence star graph, wherein the bidirectional tree graph learns a rumor propagation mode by using a graph convolutional neural network with a rumor propagation directed graph from top to bottom; capturing a rumor diffusion mode by using a graph convolutional neural network with a rumor diffusion graph from bottom to top; in the evidence star graph, a source post, namely a detection object, is positioned in the center, and evidence nodes surround the source post, so that an angle in the star structure is represented; constructing a rumor detection model based on the bidirectional tree diagram; after K iterations of information transmission based on a bidirectional tree structure and a star-shaped structure, obtaining final representations of two embedding results, connecting the final representations, and transmitting the final representations to a multilayer perceptron for final prediction; mongolian rumor detection can be carried out by utilizing the model, and classification labels and evidence interpretation can be obtained.

The invention relates to a data quality problem troubleshooting method based on a neural network algorithm. The method comprises the following steps: s1, compiling a field scheduling experience set; s2, collecting system data, and auditing the system data; s3, establishing an event checking tree structure diagram; s4, reasoning the credibility of each event in the event troubleshooting tree structure diagram in the step S3; s5, calculating weight distribution of each event in the event troubleshooting tree diagram; s6, establishing a troubleshooting rule of the event troubleshooting tree structure chart; s7, performing troubleshooting according to the troubleshooting rule. Based on system data, in combination with scheduling experience of a field dispatcher, an event investigation tree structure chart is established by using a big data algorithm in combination with a neural network algorithm, and then investigation rules are formulated; and when the system gives an alarm, abnormal data is analyzed and then troubleshot according to the troubleshooting rule, so that preliminary positioning of an alarm event is realized. Meanwhile, a positioning result is fed back to field personnel, and the automation degree is improved.