Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

372 results about "Petri net" patented technology

A Petri net, also known as a place/transition (PT) net, is one of several mathematical modeling languages for the description of distributed systems. It is a class of discrete event dynamic system. A Petri net is a directed bipartite graph, in which the nodes represent transitions (i.e. events that may occur, represented by bars) and places (i.e. conditions, represented by circles). The directed arcs describe which places are pre- and/or postconditions for which transitions (signified by arrows). Some sources state that Petri nets were invented in August 1939 by Carl Adam Petri—at the age of 13—for the purpose of describing chemical processes.

Intelligent substation fault diagnosis method combining topology and relay protection logic

The invention discloses an intelligent substation fault diagnosis method combining topology and relay protection logic. The intelligent substation fault diagnosis method combining the topology and the relay protection logic comprises the following steps of: analyzing network topology modeling processes of a primary system and a secondary system of an intelligent substation; equivalently replacing all groups with a node quantity of 3 by a group node; simplifying an undirected graph; providing a logical inference method in fit with a Petri net principle according to an extension coefficient, a transition function and a transition function; searching logical relation of the primary system and the secondary system by using the entire intelligent substation system as a whole body; and carrying out a fault diagnosis reasoning process through the logical relation of the primary system and the secondary system. The intelligent substation fault diagnosis method is applied to the fault diagnosis reasoning of an intelligent substation, has the advantages of simple, efficient and rapid network topology constructing and searching process, practical fault diagnosis process and accurate result, and can be used for laying a good foundation for operations, such as fault diagnosis and the like, of the intelligent substation.
Owner:SHANDONG UNIV

Power system fault diagnosis method comprehensively using electricity amount and timing sequence information

The invention discloses a power system fault diagnosis method comprehensively using electricity amount and timing sequence information. Firstly, power-off areas before and after a fault are compared and analyzed to determine the fault area, and a suspicious element set is formed; secondly, a weighting fuzzy timing sequence Petri net model is built, and SCADA information, electricity amount information of a WAMS and the timing sequence characteristics included in the information are integrated to form the alarm information criterion, place delay restraints and the electricity amount criterion; a Gaussian function is adopted, the confidence coefficient of alarm information is obtained in combination with timing sequence reasoning, the initial confidence coefficient of the Petri net model is calculated through array calculation, and the model is solved; finally, backward reasoning is carried out according to the fault probability of an element, and protection and judgment of maloperation and motion refusal of a disconnector are carried out. The power system fault diagnosis method is high in fault-tolerant capability, can handle the phenomena of protection and maloperation/motion refusal of the disconnector and the phenomenon that an alarm is lost or wrong, and improves the accuracy and reliability of the fault diagnosis result.
Owner:STATE GRID CORP OF CHINA +3

Bi-directional intelligent search-based manufacturing enterprise shop scheduling optimization method

The invention discloses a bi-directional A*search-based manufacturing enterprise shop scheduling optimization method. The method includes the following steps that: a Petri net model of a system is built according to the processing procedures of the system; the Petri net model is transformed into an input file of the algorithm; related variables such as a identification vector and an incidence matrix are built so as to be used for Petri net evolution and heuristic function construction; the heuristic function of an A*algorithm is constructed; the initial status identifier and terminal status identifier of the system are adopted as the initial statuses of a forward A* algorithm and a reverse A* algorithm, A*search is executed for a terminal status and an initial status; and whether the minimum cost value node of the search algorithm of any direction reaches a final status is judged, or whether the minimum cost value node of the search algorithm at any direction is a node in the OPEN table of the A* search of an opposite direction is judged, if the minimum cost value node of the search algorithm of any direction reaches the final status, or is a node in the OPEN table of the A* search of the opposite direction, an optimal path is constructed from the node to the initial node and terminal node of the system in a backtracked manner, and a scheduling scheme of the system is outputted. With the method of the invention adopted, a small number of nodes are required to be searched, and an optimal scheduling scheme can be found faster.
Owner:NANJING UNIV OF SCI & TECH

Workshop manufacturing system multi-target scheduling method based on time-assigned Petri network

The invention discloses a workshop manufacturing system multi-target scheduling method based on a time-assigned Petri network. The workshop manufacturing system multi-target scheduling method comprises the following steps that conducting modeling on a multi-target workshop manufacturing system through the Petri network; reading an attribute value corresponding to each library in the Petri networkmodel, and solving an association matrix between the library in the Petri network model and the transition; and based on the incidence matrix and the A * search algorithm, expanding the sub-nodes fromthe initial node until all the target nodes are found, thereby finishing the multi-target scheduling of the system. According to the invention, a workshop manufacturing system timing Petri net modelis taken as an object; a multi-target heuristic scheduling method is adopted, a non-dominated scheduling scheme most meeting requirements is found out by comprehensively judging a plurality of attributes of a target, the method can solve all non-dominated solutions according to different attributes, and the heuristic multi-target A * algorithm is adopted, so that the system scheduling scheme meeting the requirements can be obtained without expanding all nodes of the system.
Owner:NANJING UNIV OF SCI & TECH

Time Petri net based emergency rescue resource scheduling method and emergency rescue method

The invention discloses a time Petri net based emergency rescue resource scheduling method and an emergency rescue method. The time Petri net based emergency rescue resource scheduling method comprises the steps of: analyzing existing contingency plans of petrochemical enterprises, extracting emergency rescue action actuating logics, establishing a Petri net model and finding out emergency rescue resources required by each emergency rescue action based on the contingency plans; analyzing states of the emergency rescue resources, and establishing a sub-Petri net model in the preparing and using processes of the emergency rescue resources; integrating the Petri net model and the sub-Petri net model to establish an emergency rescue resource scheduling Petri net model; configuring initial and target identifiers of the emergency rescue resource scheduling Petri net model, calling a solution algorithm to solve a change excitation strategy with the least accomplishing time and obtaining an optimized emergency rescue resource scheduling strategy. The emergency rescue resources can be adjusted in time based on the real-time fire condition, so that the time Petri net based emergency rescue resource scheduling method improves disaster rescue efficiency and is suitable for fire situations with concurrence of secondary disasters in a resource coupling state.
Owner:ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products