A meter hub safety isolation service entrance disconnect switch includes an enclosure configured to mount outside a building and protect contents of the enclosure from ingress of solid foreign objects or the ingress of rain, sleet, or snow and that will be undamaged by the external formation of ice on the enclosure. The enclosure has a dead front cover and removable outside cover in which the outside cover is marked to inform a first responder that the enclosure contains a disconnect switch. The disconnect switch is operable upon removal of the outside cover while the dead front cover remains in place and includes a multi-pole switch having poles sufficient to convey power, neutral and ground as may be required by an electrical power source for a load center serving the premises, the switch opening poles for power and neutral upon actuation, while maintaining the ground of the premises wiring.

A control method of an integrated facility safety control system predicts short-term safety of a facility by using an artificial intelligence (AI) model embedded in an intelligent edge interrogator and predicts long-term safety of the facility on the basis of long-term sensing data received from the intelligent edge interrogator by using an AI model embedded in a server. Accordingly, a server and an intelligent edge interrogator may divisionally perform an analysis operation on the short-term safety and long-term safety of facility on the basis of data collected from an optical fiber sensor, and thus, may solve a load of data concentrating on a server, a problem of computing power, and a network problem caused by massive data transmission.

A system, in particular a manufacturing system, the system including machines, especially stationary and mobile machines, and at least one vehicle and a control, the vehicle having at least one sensor for ascertaining the relative position of a person, in particular a sensor for ascertaining the distance between the vehicle and the person, and for ascertaining the angle between the driving direction of the vehicle and the connecting line between the person and the vehicle, the vehicle having a position acquisition means for sensing the position of the vehicle, in particular a GPS system or a triangulation system for ascertaining the position of the vehicle, the control including a means for ascertaining the safety zone around the person and the machines situated therein, a data transmission channel being provided between the control and the machines.

In one embodiment, a multi-purpose sensor may couple to a machine operating in an industrial environment and include numerous sensors disposed within the multi-purpose sensor to acquire sets of data associated with the machine or an environment surrounding the machine. A first portion of the sets of data may include historical sensor measurements over time for each of the sensors, and a second portion of the sets of data may include sensor measurements subsequent to when the first portion is acquired for each of the sensors. A processor of the multi-purpose sensor may determine a baseline collective signature based on the first portion, determine a subsequent collective signature based on the second portion, determine whether the collective signatures vary, and generate signals when a variance exists. The signals may cause a computing device, a cloud-based computing system, and/or a control/monitoring device to perform various actions.

A method for a device to monitor performance of a manufacturing machine which is equipped with a fixture for holding a workpiece, the fixture having at least one fixing hole, includes obtaining actual coordinate values of the fixing hole in a plurality of machining processes and calculating a standard deviation of the coordinates in at least one axial direction according to the actual coordinate values and a preset standard coordinate value. A risk index in at least one axial direction is calculated according to the standard deviation and a preset tolerance and a determination made as to whether risk index exceeds a preset threshold. A warning is sent to the machine and supervising engineer if the risk exceeds the preset threshold. A machine monitoring device and a computer readable storage medium are also provided.

A method for ensuring safety critical functionality for a laser engraver includes obtaining a command from a laser motor controller; obtaining sensor data from a plurality of sensors, the sensor data corresponding to an operating status of various components of the laser engraver; determining a functioning status for each component; and as a result of determining the functioning status for all of the components, enabling supply of power to a laser, where the method is performed by a safety controller that is embodied in hardware completely separate from hardware in which the laser motor controller is embodied. One example required functioning status is that a power button has been selected twice in quick succession.

A safety control system that can realize comprehensive safety control for a manufacturing site is provided. A safety control system includes an arithmetic operation processing unit, a data storing unit that stores safety input/output data, and a plurality of communication processing units that exchange safety input/output data with a device that is a connection destination. Each of the plurality of communication processing units, independently from processes of the other communication processing units, periodically transmits safety output data for a target device stored in the data storing unit to the target device and writes safety input data from the target device into the data storing unit in accordance with a connection setting set in advance for each of the communication processing units.

A procedure for neutralizing an attack on a control system of an industrial asset includes detecting an anomaly in a first sensor node associated with a first unit operating in a first operational mode, and receiving time series data associated with the first sensor node. A subset of the time series data is provided to each of a plurality of virtual sensor models A first virtual sensor model is selected from among a plurality of virtual sensor models based upon the subset of the time series data received by each of the plurality of virtual sensor models. A first confidence level of the first virtual sensor is determined. Responsive to determining that the first confidence level is below a first confidence level threshold, the first unit is transferred to a second operational mode using sensor readings associated with a second sensor node of a second unit of the industrial asset.

An analysis assistance apparatus 10 includes: a control program obtainment unit 11 that obtains a control program of a plant based on sensor data from a sensor installed in the plant; an event information obtainment unit 12 that obtains event information, which includes a variable that defines a state of the plant when a predetermined event has occurred and a value thereof, as information necessary for searching the control program for a safety barrier for avoiding the occurrence of the predetermined event in the plant; and a safety barrier search unit 13 that extracts, from the control program, a causal relationship between an input variable and an output variable, and searches the control program for the safety barrier based on the variable and the value included in the event information and on the extracted causal relationship.

Systems and methods for safety-enabled control. Input values provided to a control system can be validated. Command gating can be performed for control values provided by the control system. Validation of input values and command gating for control values can be performed in accordance with respective validation windows. Validation windows can be dynamically adjusted based on data received via a sensor or interface.