Monitoring and controlling unit for use in an autonomous system with self-x properties
Provided is a monitoring and controlling unit for use in an autonomous system with self-X properties, including a test data interface for receiving test data, a real data interface for receiving real data, wherein the test data is compared with the real data to determine whether there is a part of new data in the real data, if a part of new data is identified in the real data, the test data is updated with the part of new data and an output interface for sending the updated test data, which can be further processed into at least one executable test. Further, provided is an according autonomous device, an autonomous system, method of self-testing of an autonomous system and computer program.
1. A monitoring and controlling hardware unit for use in a virtual world of an autonomous system with self-X properties including self-testing, the monitoring and controlling hardware unit comprising:
a processor, the processor configured to:
a. receive test data from the virtual world, wherein the test data is generated during an engineering phase;
b. receive real data from a real world, wherein the real data from the real world is collected during an operational phase;
c. compare the test data with the real data from the real world to determine whether there is a part of new data in the real data, and automatically update the test data with the new data, if the part of new data is identified in the real data from the real world; and
d. output the updated test data, wherein the updated test data is automatically processed by a test script generator into at least one executable test for self-testing the autonomous system with self-X properties,
wherein the processor further configured to:
generate a combination of the test data based on a pre-defined input data space, wherein the pre-defined input data space is stored as adaptive classification trees, wherein the adaptive classification trees comprise a fixed part and adaptive part, wherein the fixed part is defined in the engineering phase and the adaptive part presents current configuration of a set of data provided by the self-X properties and evaluated by the monitoring and controlling hardware unit.
2. The monitoring and controlling hardware unit according to claim 1 , wherein the test data is based on at least one external or internal input parameter, wherein the at least one input parameter is selected from a group, comprising: system environment, system requirement, system status, system component, interaction of system components.
3. An autonomous system with self-X properties including self-testing, comprising:
a first autonomous device, the first autonomous device having a first monitoring and controlling hardware unit for use in a virtual world of the autonomous system, wherein the first monitoring and controlling hardware unit is configured to:
a. receive test data from the virtual world, wherein the test data is generated during an engineering phase;
b. receive real data from a real world, wherein the real data from the real world is collected during an operational phase;
c. compare the test data with the real data from the real world to determine whether there is a part of new data in the real data from the real world, and automatically update the test data with the new data, if the part of new data is identified in the real data from the real world; and
d. output the updated test data, wherein the updated test data is automatically processed by a test script generator into at least one executable test for self-testing the autonomous system with self-X properties,
wherein the first monitoring and controlling hardware unit is further configured to:
generate a combination of the test data based on a pre-defined input data space, wherein the pre-defined input data space is stored as adaptive classification trees, wherein the adaptive classification trees comprise a fixed part and adaptive part, wherein the fixed part is defined in the engineering phase and the adaptive part presents current configuration of a set of data provided by the self-X properties and evaluated by the first monitoring and controlling hardware unit.
4. The autonomous system with self-X properties according to claim 3 , further comprising:
a second autonomous device in the real world with a second monitoring and controlling hardware unit for collecting the real data and for sending the real data to the first autonomous device in the virtual world.
5. The autonomous system with self-X properties according to claim 4 , wherein the first autonomous device in the virtual world is a digital virtual representative and the second autonomous device is a physical unit in the real world, wherein the first autonomous device is fully synchronized with the second autonomous device.
6. The autonomous system with self-X properties according to claim 4 , wherein the first autonomous device and the second autonomous device are connected by a communication channel for exchanging the test data and/or the real data.
7. The autonomous system with self-X properties according to claim 3 , wherein the first autonomous device further comprises at least one processing unit suitable for the generation of dynamic classification trees.
8. The autonomous system with self-X properties according to claim 3 , wherein the first autonomous device further comprises a deviation report for reporting at least one deviation in the autonomous system, wherein the at least one deviation is detected if a part of the new data is identified by the first monitoring and controlling hardware unit.
9. The autonomous system with self-X properties according to claim 4 , wherein the second autonomous device further comprises a built-in self-x tester for executing self-testing of the autonomous system.
10. A method of self-testing of an autonomous system with self-X properties, comprising the steps of:
a. receiving test data from a virtual world by a test data interface of a first monitoring and controlling hardware unit, wherein the test data is generated during an engineering phase;
b. receiving real data from a real world by a real data interface of the first monitoring and controlling hardware unit, wherein the real data is collected during an operational phase;
c. comparing the test data with the real data to determine whether there is a part of new data in the real data by the first monitoring and controlling hardware unit, and automatically updating the test data with the new data, if the part of new data is identified in the real data;
d. sending the updated test data by an output interface of the first monitoring and controlling hardware unit, wherein the updated test data is automatically processed by a test script generator into at least one executable test for self-testing of the autonomous system with self-X properties,
wherein the method of self-testing of an autonomous system with self-X properties further comprising:
generating a combination of the test data based on a pre-defined input data space, wherein the pre-defined input data space is stored as adaptive classification trees, wherein the adaptive classification trees comprise a fixed part and adaptive part, wherein the fixed part is defined in the engineering phase and the adaptive part presents current configuration of a set of data provided by the self-X properties and evaluated by the first monitoring and controlling hardware unit.