Abstract: A system and approach for deriving data for a constrained environment of a controller such as, for example, an embedded device. The controller may incorporate a processor and a memory connected to the processor. The memory may have a constrained capacity. The memory may contain an extensible set of rules for deriving additional semantic information from available information at the embedded device. The processor and the memory with the extensible set of rules may constitute a semantic rule engine. The semantic rule engine may apply the extensible set of rules to the available information to derive the additional semantic information.

Abstract: A control system having packaged sets of control logic, referred to as templates. A template may be deployed in a system many times to solve a system's needs. Upon deployment, the user may need to perform many binding operations. The present system and approach may greatly reduce the labor involved in deploying control templates and in templates configuring a system of devices. Semantic tagging may be used. When designing a template, binding hints may be provided for each entity in the template that requires binding upon deployment. The binding hints may be used as a search predicate. When a template is deployed into a control space, a search query with binding hints for each bindable entity defined, may automatically be executed against the control space. If there is a single result for a bindable entity, then it may be automatically bound. If there are multiple results, a user may be prompted to choose from a results list.

Abstract: A system and approach for deriving data for a constrained environment of a controller such as, for example, an embedded device. The controller may incorporate a processor and a memory connected to the processor. The memory may have a constrained capacity. The memory may contain an extensible set of rules for deriving additional semantic information from available information at the embedded device. The processor and the memory with the extensible set of rules may constitute a semantic rule engine. The semantic rule engine may apply the extensible set of rules to the available information to derive the additional semantic information.

Abstract: A system and approach for deriving data for a constrained environment of a controller such as, for example, an embedded device. The controller may incorporate a processor and a memory connected to the processor. The memory may have a constrained capacity. The memory may contain an extensible set of rules for deriving additional semantic information from available information at the embedded device. The processor and the memory with the extensible set of rules may constitute a semantic rule engine. The semantic rule engine may apply the extensible set of rules to the available information to derive the additional semantic information.

Abstract: A control system having packaged sets of control logic, referred to as templates. A template may be deployed in a system many times to solve a system's needs. Upon deployment, the user may need to perform many binding operations. The present system and approach may greatly reduce the labor involved in deploying control templates and in templates configuring a system of devices. Semantic tagging may be used. When designing a template, binding hints may be provided for each entity in the template that requires binding upon deployment. The binding hints may be used as a search predicate. When a template is deployed into a control space, a search query with binding hints for each bindable entity defined, may automatically be executed against the control space. If there is a single result for a bindable entity, then it may be automatically bound. If there are multiple results, a user may be prompted to choose from a results list.

Abstract: A system having dynamic hierarchies based on a searchable entity model. The present system may be used for defining hierarchies by defining each level based on the attributes of its objects. The multiple level structure may be specified according to level definitions, each one defining a mechanism for determining the members in an instantiation of the actual system hierarchy. Level definitions may incorporate lists, queries based on semantic tags and relationships, groupings based on semantic tags, and traversal of relationships. A feature may be that multiple hierarchies can be defined and the hierarchies can be updated automatically as the system is modified and objects are added, removed, or modified.

Abstract: A control system having packaged sets of control logic, referred to as templates. A template may be deployed in a system many times to solve a system's needs. Upon deployment, the user may need to perform many binding operations. The present system and approach may greatly reduce the labor involved in deploying control templates and in templates configuring a system of devices. Semantic tagging may be used. When designing a template, binding hints may be provided for each entity in the template that requires binding upon deployment. The binding hints may be used as a search predicate. When a template is deployed into a control space, a search query with binding hints for each bindable entity defined, may automatically be executed against the control space. If there is a single result for a bindable entity, then it may be automatically bound. If there are multiple results, a user may be prompted to choose from a results list.

Abstract: A control system having packaged sets of control logic, referred to as templates. A template may be deployed in a system many times to solve a system's needs. Upon deployment, the user may need to perform many binding operations. The present system and approach may greatly reduce the labor involved in deploying control templates and in templates configuring a system of devices. Semantic tagging may be used. When designing a template, binding hints may be provided for each entity in the template that requires binding upon deployment. The binding hints may be used as a search predicate. When a template is deployed into a control space, a search query with binding hints for each bindable entity defined, may automatically be executed against the control space. If there is a single result for a bindable entity, then it may be automatically bound. If there are multiple results, a user may be prompted to choose from a results list.

Abstract: A system having dynamic hierarchies based on a searchable entity model. The present system may be used for defining hierarchies by defining each level based on the attributes of its objects. The multiple level structure may be specified according to level definitions, each one defining a mechanism for determining the members in an instantiation of the actual system hierarchy. Level definitions may incorporate lists, queries based on semantic tags and relationships, groupings based on semantic tags, and traversal of relationships. A feature may be that multiple hierarchies can be defined and the hierarchies can be updated automatically as the system is modified and objects are added, removed, or modified.

Abstract: A system and approach for deriving data for a constrained environment of a controller such as, for example, an embedded device. The controller may incorporate a processor and a memory connected to the processor. The memory may have a constrained capacity. The memory may contain an extensible set of rules for deriving additional semantic information from available information at the embedded device. The processor and the memory with the extensible set of rules may constitute a semantic rule engine. The semantic rule engine may apply the extensible set of rules to the available information to derive the additional semantic information.

Abstract: A system for providing data integrity in an embedded device environment. One approach is operating an embedded control engine with non-battery backup power and providing data backup with inexpensive memory. Just data having changes may be provided to a volatile memory such as an SRAM module. After an accumulation of a certain amount of data, the data may be moved onto a relatively larger non-volatile memory, such as an NVRAM module or other type of flash memory. Non-battery backup power may maintain the SRAM module for a period after a power loss, so as to retain data. After restoration of power, data from NVRAM and SRAM modules may be read by the backup service to recreate the last known state of the control engine before the power loss.

Abstract: A system for providing data integrity in an embedded device environment. One approach is operating an embedded control engine with non-battery backup power and providing data backup with inexpensive memory. Just data having changes may be provided to a volatile memory such as an SRAM module. After an accumulation of a certain amount of data, the data may be moved onto a relatively larger non-volatile memory, such as an NVRAM module or other type of flash memory. Non-battery backup power may maintain the SRAM module for a period after a power loss, so as to retain data. After restoration of power, data from NVRAM and SRAM modules may be read by the backup service to recreate the last known state of the control engine before the power loss.