A method of automated pipeline chemical batch treatment includes receiving treatment information at a control system of a pipeline. If the treatment information includes an instruction to activate a pump system, the method includes transmitting an activation signal from the control system to the pump system in accordance with the treatment information. The activation signal causes the pump system to pump one or more chemicals from a chemical feed system into the pipeline. If the treatment information includes an instruction to deactivate the pump system, the method includes transmitting a deactivation signal from the control system to the pump system in accordance with the treatment information, wherein the deactivation signal causes the pump system to stop pumping one or more chemicals from the chemical feed system into the pipeline.

A system for reliable preventative maintenance of a device includes a telemetry component health predictor that generates predictive performance statistics for telemetry components performing telemetry collection or telemetry transmission operations for the device. The system further includes a predictive maintenance analytics engine that generates predictive performance statistics for the device based on device telemetry and the predictive performance statistics generated for the telemetry components of the device.

The present invention relates to a connector (100) for a water system. The connector comprises an inlet connector (105), a connector body and an outlet connector (120) arranged in sequence. The connector body is open-sided so as to form a tundish having an open air gap between the inlet and outlet connectors (105, 120), through which water can fall in use. The connector (100) further comprises a sensor for detecting the presence of water within the connector body.

A hybrid data collection and analysis infrastructure combines edge-level and cloud-level computing to perform high-level monitoring and control of industrial systems and processes. Edge devices located on-premise at one or more plant facilities can collect data from multiple industrial devices on the plant floor and perform local edge-level analytics on the collected data. In addition, the edge devices maintain a communication channel to a cloud platform executing cloud-level data collection and analytic services. As necessary, the edge devices can pass selected sets of data to the cloud platform, where the cloud-level analytic services perform higher level analytics on the industrial data. The hybrid architecture operates in a bi-directional manner, allowing the cloud-level and edge-level analytics to send control instructions to industrial devices based on results of the edge-level and cloud-level analytics.

An automation server is described. The automation server includes a processor. The automation server also includes a memory in electronic communication with the processor. The automation server further includes instructions stored in the memory. The instructions are executable to generate artificial automation data to protect actual automation data. The instructions are also executable to send, from the automation server, the artificial automation data to at least one virtual assistant server.

The present invention relates to a method for configuring a management unit connected to at least one home automation equipment comprising at least one home automation device (D) and at least one central control unit (U), the method being implemented by a management unit (Sv) and comprising the following steps: configuring (EcfSv2) an alert (Al) corresponding to the triggering of an alert notification and/or an action when a triggering condition (Cnd) is produced relating to at least one state variable for a home automation device (D), a group of home automation devices (D), a type of home automation device (DT) or a group of types of home automation devices (DT); the step of configuring an alert (Al) being carried out on the basis of instructions of a first user (Usr1) having a first user profile type; declaring (ECfUsr26) the monitoring of an assembly of home automation devices (D) comprising at least one home automation device (D) for which at least one alert (Al) has been configured by a second user (Usr2) having a second user profile type, downloading the alert (Al) condition (Cnd) on at least one central control unit (U) to which at least one home automation device (D) belonging to the group of home automation devices (D) is connected, in order to configure the home automation device (D) for evaluating the condition (Cnd) and sending a notification of production of the condition to the management unit. The present invention also relates to a method for monitoring said equipment.

A control system and a control method are provided. A control device in the control system includes a computation processing unit related to control of a control target, a collection unit that executes a process of collecting data associated with the control target, and a monitoring processing unit that executes a process of monitoring a state of the control target and includes a feature quantity generation unit that executes a process for generating a feature quantity from the collected data, and a detection unit that executes a for detecting an abnormality occurring in the control target using the generated feature quantity and an abnormality detection parameter suitable for detection of an abnormality occurring in the control target that is set based on a result of machine learning. An information processing device executes emulation of the monitoring process using the data associated with the control target from the control device.

Integrated physical and logical security management is extended to a mobile device, such as a portable wireless device or radio. The Mobile-IMPACT solution extends the reach of authorized users to handheld devices for monitoring, managing and/or controlling of IT/network and physical security. Allowing authorized users to view and control access events while not in their office and logged into their console, mobility within and outside of a facility or campus organization no longer requires a laptop computer. With new handheld technologies more widely accessible and dropping in price while still gaining additional functionality, a chief security officer and their security staff can now monitor access to their building/doors/control zones, look-up user and card information, trigger queries/reports, set new alarm conditions and monitor sensors or a perimeter from a handheld device anywhere in the world using an electronic communication medium, such as a PDA, cell phone, radio, or the like.

A method of automated pipeline chemical batch treatment includes receiving treatment information at a control system of a pipeline. If the treatment information includes an instruction to activate a pump system, the method includes transmitting an activation signal from the control system to the pump system in accordance with the treatment information. The activation signal causes the pump system to pump one or more chemicals from a chemical feed system into the pipeline. If the treatment information includes an instruction to deactivate the pump system, the method includes transmitting a deactivation signal from the control system to the pump system in accordance with the treatment information, wherein the deactivation signal causes the pump system to stop pumping one or more chemicals from the chemical feed system into the pipeline.

An industrial sensor selection system guides the process of selecting a suitable industrial sensor for use in an industrial sensing application based on information provided by the user about the application. The system can allow the user to initially specify a target product or object that is to be detected or measured by the sensing application. Based on the product selection, the sensor selection system allows the user to select from among a set of sensor use cases commonly applied to the selected product. The selection system may also prompt the user to provide additional contextual information about the selected use case. Based on the user's selection of a target product, use case, and any applicable contextual information, the sensor selection system identifies one or more suitable industrial sensors registered within a sensor profile library suitable for use within the user's sensing application.