6 results about "Cyber-physical system" patented technology

The present invention relates to a video monitoring method in an area where a plurality of CCTV cameras is installed, such as an urban area. As a digital twin Cyber Physical System (CPS) is constructed, and a control server connected to a camera and a computer connected to the control server are configured, and a model object generated from a CPS model and video information transmitted from the camera are collected in the control server and transmitted to the computer, users may confirm a digital twin-based model object together with actually captured video information. Through the present invention, it is possible to immediately and clearly confirm surrounding spaces, as well as the location of a camera transmitting specific video information in video monitoring of a wide area such as urban areas, and efficiency and accuracy of viewing the video information of a plurality of cameras can be dramatically improved.

Systems and methods are provided for incident analysis in Cyber-Physical Systems (CPS) using a Temporal Graph-based Incident Analysis System (TGIAS) and / or Transition Based Categorical Anomaly Detection (TCAD). Dynamically gathered multimodal data from a distributed network of sensors across the CPS are preprocessed to identify abnormal sensor readings indicative of potential incidents, and a multi-layered incident timeline graph, representing abnormal sensor readings, relationships to specific CPS components, and temporal sequencing of events is constructed. Severity scores are calculated, and severity rankings are assigned to identified anomalies based on a composite index including impact on CPS operation, comparison with historical incident data, and predictive risk assessments. Probable root causes of incidents and pathways for anomaly propagation through the CPS are identified using causal interference and the incident timeline graph to detect underlying vulnerabilities and predict future system weaknesses. Recommended actions are generated and executed for incident resolution and system optimization.

The application discloses a power distribution cyber-physical system collaborative planning method and device, terminal equipment and a computer readable storage medium, and belongs to the technical field of power distribution network planning. The method comprises the following steps: obtaining network topology data, equipment configuration state data and dynamic coordination parameters to obtain planning basic data; evaluating a static configuration dependency relationship according to the equipment configuration state data, and constructing a coupling risk complexity; quantifying bottom-layer communication calling and running load overhead according to the dynamic coordination parameters, and constructing a fault handling coupling complexity; taking the minimum of the two complexities as an optimization target, and taking the upper limit of the system annual expected power supply shortage as a constraint condition, constructing and solving a double-target collaborative planning model, and generating a configuration state combination of each device to perform collaborative planning. The application solves the problem that the existing power distribution network planning ignores the bottom-layer communication and physical running overhead, leading to excessive configuration of automatic equipment and causing system overload and communication congestion.

The application discloses an architecture design method and device of an intelligent automobile cyber-physical system and related equipment. It relates to the technical field of vehicles and road traffic. The method comprises the following steps: obtaining the architecture design requirements of the intelligent automobile cyber-physical system; in response to the architecture design requirements, constructing the view architecture of each perspective according to the metamodel of each view in the preset system architecture framework under multiple perspectives, and obtaining the initial architecture model of the intelligent automobile cyber-physical system; and simulating and optimizing the initial architecture model to obtain the target architecture model of the intelligent automobile cyber-physical system. According to the embodiment of the application, the design path and output standard are specified by a unified architecture framework, the design language and understanding, design boundary and analysis granularity of multiple participants are unified, and the design consensus of multiple stakeholders is reached.

The application discloses an active distribution network cyber physical system (ADNCPS) operation situation prediction method and system against network attacks, constructs an ADNCPS situation prediction index system, sets alarm threshold values for various indexes in the index system, stores real-time acquired ADNCPS operation data into a historical data storage module, completes the screening and calculation of initial ADNCPS operation data by using the constructed ADNCPS situation prediction index system, compares the calculation results with the alarm threshold values of various prediction indexes, stores the index data exceeding the alarm threshold values according to time sequences, completes the prediction of various indexes by using a model parallel situation prediction model based on CNN-LSTM, and finally completes the operation situation prediction of the ADNCPS by using a fuzzy analytic hierarchy process method. The application improves the prediction accuracy and provides protection for the safe and stable operation of the ADNCPS.

Complexities arising from interaction between multiple inter-connected components in an autonomous cyber physical system can potentially result in differences in intended and observed operations of a CPS. To perform fault analysis of a CPS it is imperative to explain this discrepancy in terms of the components of CPS control code. A system estimates a “mined” hybrid system representation of a CPS based on observed input / output traces and extracts a state machine representation of the CPS control code. The system compares the “mined” hybrid system representation with the extracted state machine representation simplification of the CPS code to identify discrepancies between expected and observed operation of the CPS. The system explains discrepancies in terms of call conditions as binary or unary operations on input and output variables and status of function call arguments.