Patent classifications
G05B23/0262
Method of utility usage divergence identification between recurring consumption data indicative of repeating periodic consumption patterns and utility consumption data
A method and apparatus for analysing utility consumption at a utility supply location is described. The method comprises the steps of: receiving utility consumption data corresponding to utility consumption at the utility supply location over a time period to be analysed; generating a recurring consumption model indicative of repeating consumption patterns in the utility consumption data; identifying divergences between the utility consumption data and the recurring consumption model; computing a diagnostic measure indicative of irregular consumption based on the identified divergences; and outputting the diagnostic measure. The diagnostic measure may be used to identify flexibility or irregularities in consumption and/or to control supply of the utility. The utility may be e.g. electricity, gas or water.
Pellet grills
Pellet grills and associated methods of operation are disclosed. An example pellet grill includes an ignitor configured to be activated. The ignitor has a duty cycle associated with a number of activations of the ignitor. The example pellet grill further includes one or more processors configured to determine whether the duty cycle has violated a threshold. The one or more processors are further configured, in response to determining that the duty cycle has violated the threshold, to generate a notification indicating that the threshold has been violated. The one or more processors are further configured to cause the notification to be presented at a user interface of the pellet grill.
INDUSTRIAL CONTROL SYSTEM MONITORING METHOD, DEVICE AND SYSTEM, AND COMPUTER-READABLE MEDIUM
The present disclosure relates to a monitoring method, device and system for an industrial control system and a computer-readable medium. They are used to effectively monitor the industrial control system. The method includes: obtaining first network traffic transmitted in the industrial control system in a passive monitoring manner; determining whether it is necessary to monitor the industrial control system in an active probe manner according to characteristics of industrial devices in the industrial control system in the first network traffic; and upon determining it is necessary to monitor the industrial control system in an active probe manner, determining a target industrial device according to the characteristics of the industrial devices in the industrial control system in the first network traffic, sending third network traffic to the determined target industrial device, and obtaining second network traffic sent by the target industrial device in response to the third network traffic.
Load Management for Displaying an Alarm Signal Indicator
A method for visually displaying a facility mimic diagram of a technical facility which has an operator station server and an operator station client, wherein the method includes transferring the facility mimic diagram from the operator station server to the operator station client, where the facility mimic diagram includes an alarm signal indicator, communicating a duration for visually displaying the indicator, visually displaying the facility mimic diagram with the alarm signal indicator, informing the operator station client about an emergence of a new alarm signal in the management system via a message, determining a value an actual display time has to visually display the alarm signal indicator, determining whether a display time for the visual display of the alarm signal indicator with the new alarm signal would overshoot the value of the duration, limiting the visual display of the alarm signal indicator when the available duration is overshot.
VIRTUAL CONTROL SYSTEM WITH FAILSAFE MODE
A virtual controller is configured to send control commands to an edge controller such as in I/O module that is connected to a building management system component. The IO module is configured to communicate with the virtual controller and to provide local control commands to the building management system component that are based upon the control commands from the virtual controller when communication with the virtual controller is determined by the IO module to be functioning normally and are based upon one or more fail-safe commands generated by the IO module when communication with the virtual controller is determined by the IO module to not be functioning normally.
Pellet grills
Pellet grills and associated methods of operation are disclosed. An example pellet grill includes a one or more processors configured to detect an improper shutdown of a control system of the pellet grill. The one or more processors are further configured to generate a notification in response to the control system regaining power following detection of the improper shutdown, the notification indicating that the control system was improperly shutdown. The one or more processors are further configured to cause the notification to be presented at a user interface of the pellet grill.
Monitoring industrial equipment using audio
Systems, methods, and devices for monitoring industrial equipment using audio are described herein. One system includes two computing devices. The first computing device can receive, from an audio sensor, audio sensed during operation of industrial equipment, extract a plurality of features from the audio, determine whether any portion of the audio is anomalous, and send, upon determining a portion of the audio is anomalous, the anomalous portion of the audio to the second, remotely located, computing device. The second computing device can provide the anomalous portion of the audio to a user to determine whether the anomalous portion of the audio corresponds to a fault occurring in the equipment, and receive, from the user upon determining the anomalous portion of the audio corresponds to a fault occurring in the equipment, input indicating the anomalous portion of the audio corresponds to the fault to learn fault patterns in the equipment.
Pellet grills
Pellet grills and associated methods of operation are disclosed. An example pellet grill includes a main body defining a cooking chamber. The example pellet grill further includes a grease deflection bar assembly located within the main body. the grease deflection bar assembly includes a first rack removably positioned on first tabs of the main body, a second rack removably positioned on second tabs of the main body, and a grease deflection bar extending between and removably positioned on the first and second racks.
METHOD AND DEVICE FOR PLANNING MAINTENANCE ON AT LEAST ONE MACHINE
A device and a method for planning of maintenance work on a machine. Based on sensor data S, input data E are generated. The input data E are compared with model sensor data of different model data pattern and are checked regarding conformity. Each model data pattern is assigned a maintenance model in the model database. If a conformity of input data E with model sensor data M of a model data pattern has been determined, the assigned maintenance model can be selected for a maintenance of the machine. The maintenance model comprises at least one maintenance step and the resource required for it to be carried out. Subsequently, the availability of the required resource is checked and the resource is requested, if available. By such a device or method, a predicted maintenance can be performed based on empirical knowledge contained in the maintenance models of model database.
MACHINING FAILURE DETECTION DEVICE, LASER CUTTING APPARATUS, AND ELECTRIC DISCHARGE MACHINING APPARATUS
A machining failure detection device includes a machining light measurement unit that measures machining light generated at a machining point during machining; a machining sound measurement unit that measures machining sound generated at the machining point; and a computation unit that determines whether a machining failure has occurred in the machining. The computation unit includes a feature extraction unit, a determination value calculation unit, and a determination unit. The feature extraction unit extracts a machining light feature from a machining light signal measured by the machining light measurement unit, and extracts a machining sound feature from a machining sound signal measured by the machining sound measurement unit. The determination value calculation unit calculates a combined failure determination value on the basis of the machining light feature and the machining sound feature. The determination unit compares the combined failure determination value with a determination criterion to determine a failure.