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US 11,853,049 B2Granted
Integrity monitoring in automation systems
AssigneeSiemens Aktiengesellschaft
InventorsSteffen Fries, Rainer Falk
Life of this patent
Estimating the term…
Abstract
Monitoring the integrity of industrial automation systems is provided. For example, a negative impact on integrity caused by unauthorized access should be identified. This is made possible by comparing state data which describe the operating state of the industrial automation system, with sensor data which describe an environmental influence of the automation system.
Claims15
A method, comprising:
- obtaining state data of an industrial automation system, wherein the state data describes a current operating state of a respective actuator of the industrial automation system and is recorded in one or more log files;
- obtaining sensor data describing an environmental influence of the industrial automation system, wherein the sensor data quantifies a physical measurement;
- obtaining control data for one or a plurality of actuators of the industrial automation system which bring about the environmental influence, wherein the control data describes a manner and/or an intensity of the environmental influence of the respective actuator;
- and
- carrying out a comparison between the state data, the sensor data, and the control data using a model to output a result signal indicative of a probability of an impairment to an integrity of the industrial automation system, wherein the model is empirically determined by means of techniques of machine learning;
- wherein the comparison takes account of a deviation of the environmental influence from a reference obtained on a basis of the model.
3 more elements
A control unit comprising at least one hardware processor and at least one memory storing executable instructions, the at least one hardware processor configured to:
- obtain state data of an industrial automation system, wherein the state data describes a current operating state of a respective actuator of the industrial automation system and is recorded in one or more log files;
- obtain sensor data describing an environmental influence of the industrial automation system, wherein the sensor data quantifies a physical measurement;
- obtain control data for one or a plurality of actuators of the industrial automation system which bring about the environmental influence, wherein the control data describes a manner and/or an intensity of the environmental influence of the respective actuator;
- compare the state data, the sensor data, and the control data using a model to output a result signal indicative of a probability of an impairment to an integrity of the industrial automation system, wherein the model is empirically determined by means of techniques of machine learning;
- wherein the comparison takes account of a deviation of the environmental influence from a reference obtained on a basis of the model.
2 more elements
A method, comprising:
- obtaining state data of an industrial automation system, wherein the state data describes an operating state of the industrial automation system;
- obtaining sensor data describing an environmental influence of the industrial automation system;
- obtaining control data for one or a plurality of actuators of the industrial automation system which bring about the environmental influence;
- and
- carrying out a comparison between the state data, the sensor data, and the control data using a model to output a result signal indicative of a probability of an impairment to an integrity of the industrial automation system;
- wherein the comparison takes account of a deviation of the environmental influence from a reference obtained on a basis of the model;
- wherein the method further comprises:
- obtaining reference state data of the industrial automation system in a learning phase, wherein the reference state data describe the operating state of the industrial automation system,
- obtaining reference sensor data in the learning phase, wherein the reference sensor data describe the environmental influence of the industrial automation system,
- determining an empirical model of the environmental influence on a basis of carrying out a comparison between the reference state data and the reference sensor data;
- and
- determining the reference on a basis of the empirical model.
9 more elements
Dependencies are inferred from the claim text.