Electronic system with methods for early detection and prediction of external forces' harmful intentions
OwnerKjell Olssoninventor
Life of this patent
Estimating the term…
Abstract
A method and an arrangement in electronic systems. Uncertainties are handled in a special way. The uncertainties can regard a parameter that is to be determined or uncertainties in signals or data that constitute a basis for determination of the sought parameter. There is often also a time-critically within the application. In certain applications, changes can be rapid and the invention can also handle such dynamic processes. Detection and prediction in electronic systems are carried out.
Claims27
A method in electronic systems for automatic detection in military command applications, where the detection regards an opponent's (Red's) possible intention to launch a harmful attack against own (Blue's) interests, and where the method creates an early detection by Blue of the said Red's intention, whereby a time margin is created for Blue's preparation before the intended attack is realised, and where the method handles uncertainties about an opponent's or other parties' intentions and courses of actions by probability measures, and where the detection process of the said intentions or courses of actions is using a selection of physical objects' capability oriented parameters, and where the present said method includes complex operations, and the said method being further characterised by the following method steps:
- detecting the said intentions or courses of actions by an indirect detection process based on detection of a selection of physical objects' capability oriented parameters, further comprising:
- a. structuring the said detection process in a top-down objective oriented process, called “objop” and an observation oriented process called “obsop”,
- a1. where objop is based on estimations on Red's selected needs or operational partial or end goals, and comprises (b)-(d),
- b. selecting at least one of the said physical objects' capability oriented parameters from the parameter group of capability, functional capacity and resource for contributing in the process of possibly achieving said operational partial or end goals, according to at least one of (b1)-(b3);
- b1. selecting capabilities,
- b1.1 selectively transforming capabilities to functions with selected capacities or to selected resources,
- b2. selecting functions with selected capacities,
- b2.1 selectively transforming functions with selected capacities to selected resources,
- b3. selecting resources,
- c. quantifying into selected units at least one of the parameters in the parameter group of (b)
- d. selectively using the said quantities of parameters for estimating contributions in achieving the said operational partial or end goals,
- e. where obsop is based on observations on the developed situation, including observations on at least one of (e1) and (e2), and where (e) is corresponding to (a1) and (b) through the obsop and objop relations further used in (f)-(i) below,
- e1. observations on at least one of:
- achieved partial or end results, or obtaining said achieved partial or end results by transformation from observations on at least one of capabilities or function capacities or resources,
- e2. observations on at least one of:
- capabilities, functions with capacities and resources, or obtaining said capabilities or functions with capacities by transformation from observations on resources,
- e3. and where obsop is based on at least one of the following sources of information:
- sensors with sensor information, other sources with information derived from sensors and stored information related to (e1) or (e2) above from various file systems, various network-connected computer-based sources or from network-based sources of Internet-like types of systems,
- f. selectively transforming obtained information from any of (e)-(e2) to at least one of the parameters from the said parameter group, and selecting the corresponding quantity unit as in (c)
- g. selecting corresponding parameters from the objop process (c) and the obsop process (f), and
- h. comparing the said corresponding parameters regarding types and quantities, and
- i. estimating the detection probability, based on the observation (f), for at least one of:
- the objop parameter in (g), the said objop based needs and operational partial or end goals.
An arrangement in electronic systems for automatic detection in military command applications, where the detection regards an opponent's (Red's) possible intention to launch a harmful attack against own (Blue's) interests, and where the method creates an early detection by Blue of the said Red's intention, whereby a time margin is created for Blue's preparation before the intended attack is realised, and where the method handles uncertainties about an opponent's or other parties' intentions and courses of actions by probability measures, and where the detection process of the said intentions or courses of actions is using a selection of physical objects' capability oriented parameters, and where the present said method includes complex operations, and the said arrangement being further characterised in that means are arranged for carrying out:
- detecting the said intentions or courses of actions by an indirect detection process based on detection of a selection of physical objects' capability oriented parameters, further comprising:
- a. structuring the said detection process in a top-down objective oriented process, called “objop” and an observation oriented process called “obsop”,
- a1. where objop is based on estimations on Red's selected needs or operational partial or end goals, and comprises (b)-(d),
- b. selecting at least one of the said physical objects' capability oriented parameters from the parameter group of capability, functional capacity and resource for contributing in the process of possibly achieving said operational partial or end goals, according to at least one of (b1)-(b3):
- b1. selecting capabilities,
- b1.1 selectively transforming capabilities to functions with selected capacities or to selected resources,
- b2. selecting functions with selected capacities,
- b2.1 selectively transforming functions with selected capacities to selected resources,
- b3. selecting resources,
- c. quantifying into selected units at least one of the parameters in the parameter group of (b)
- d. selectively using the said quantities of parameters for estimating contributions in achieving the said operational partial or end goals,
- e. where obsop is based on observations on the developed situation, including observations on at least one of (e1) and (e2), and where (e) is corresponding to (a1) and (b) through the obsop and objop relations further used in (f)-(i) below,
- e1. observations on at least one of:
- achieved partial or end results, or obtaining said achieved partial or end results by transformation from observations on at least one of capabilities or function capacities or resources,
- e2. observations on at least one of:
- capabilities, functions with capacities and resources, or obtaining said capabilities or functions with capacities by transformation from observations on resources,
- e3. and where obsop is based on at least one of the following sources of information:
- sensors with sensor information, other sources with information derived from sensors and stored information related to (e1) or (e2) above from various file systems, various network-connected computer-based sources or from network-based sources of Internet-like types of systems,
- f. selectively transforming obtained information from any of (e)-(e2) to at least one of the parameters from the said parameter group, and selecting the corresponding quantity unit as in (c)
- g. selecting corresponding parameters from the objop process (c) and the obsop process (f), and
- h. comparing the said corresponding parameters regarding types and quantities, and
- i. estimating the detection probability, based on the observation (f), for at least one of:
- the objop parameter in (g), the said objop based needs and operational partial or end goals.
Dependencies are inferred from the claim text.