The present invention provides a method for early warning of an abnormality sign of a device, which includes device importance and warning validity determination, and a system therefor. The method for early warning of the abnormality sign of the device comprises: a first step of determining by an early warning processing apparatus whether a device monitoring signal value exceeds a normal operation range by using a weight value on the basis of monitoring-parameter-specific importance data which has been previously analyzed by an operator; a second step of generating a warning by the early warning processing apparatus when the device monitoring signal value exceeds the normal operation range; and a third step of determining by a warning determination apparatus whether the generated warning is a valid warning, which is subject to a warning analysis and to be traced.

This disclosure relates to the analysis of data generated by one or more connected systems and devices. Operational data obtained by one or more connected devices and/or systems, such as a connected thermostat and/or wind turbine system, may be used to detect and/or predict impending failures and/or suboptimal performance. By detecting and/or predicting anomalous system and device performance, various actions may be taken to improve system and device performance and mitigate failure conditions.

Sensing systems for agricultural equipment and related methods may be configured for detecting the operating state of rotating elements in agricultural implements. The sensing systems for an agricultural implement may include a rotating element and a monitoring center equipped with an alert mechanism. The sensing systems may include an inertial sensor, a microprocessor, a communication element, and a power supply. The sensing system may be a single element fixed directly to the rotating element.

A control assembly of an automation system, having at least two row modules which are arranged in a row one after the other and have an actual order, includes a control and/or communication module and/or an I/O module, as well as a test module. The row modules are each equipped with an indicator element which can assume two distinguishable states. Further, a test method for the control assembly.

Systems and methods are provided for determining a route plan identifying a list of assets for which additional sensor data is to be acquired. A condition monitoring system can be communicatively coupled to sensors which are interfaced to assets in a collection of assets. Accordingly, the assets can be monitored for fault conditions associated with operating parameters of the assets. Based on a fault condition alarm generated for an asset, route plan input can be received by the condition monitoring system. The route plan input can be processed to determine a route plan based on matching condition monitoring attributes in the route plan input with condition monitoring attributes associated with the assets in the collection of assets. The route plan can identify a list of assets for which additional sensor data can be collected.

Disclosed is an intelligent remote monitoring method for fire-fighting, including: S1, pre-loading a protocol parsing configuration file in JSON format; S2, acquiring fire-fighting status information and operation status information of fire-fighting IoT equipment to obtain a data frame of a binary protocol; S3, parsing the data frame according to the configuration file to obtain a JSON data object, and pushing the parsed data of the fire-fighting IoT equipment to a routing layer through data push technology including kafka technology and storing in a fire-fighting database; S4: presetting different application modules according to different application services, and determining a routing direction of the data of the fire-fighting IoT equipment according to rules including a device type and a device status, and routing the data of the corresponding fire-fighting IoT equipment to the corresponding application module through the routing layer for triggering processing of events including alarms and faults, so as to realize remote monitoring of fire-fighting.

An electronic mirror system according to one embodiment of the present disclosure includes a first imaging device and an electronic mirror. The first imaging device acquires an image. The electronic mirror can display the image acquired by the first imaging device. The first imaging device includes a detector and a notifier. The detector detects a failure. The notifier notifies the electronic mirror of the detected failure. The electronic mirror includes an annunciator. The annunciator announces information on the notified failure.

An alert system for a transformer includes a thermographic camera configured to capture thermal images of the transformer, a current sensor configured to generate a sensor signal indicating the current magnitude of a current outputted from the transformer, a storage configured to store a machine learning model, an alert device, and a processing unit configured to obtain image temperature values from the thermal images, obtain magnitude values from the sensor signal, obtain normal temperature values by using the machine learning model and the magnitude values, and instruct the alert device to deliver an alerting signal based on a result of comparison between the image temperature values and the normal temperature values.

A method includes obtaining acoustic data from a plurality of acoustic sensors disposed on one or more mobile systems, one or more fixed infrastructure elements, or a combination thereof. The method includes obtaining image data from a plurality of image sensors disposed on the one or more mobile systems, the one or more fixed infrastructure elements, or a combination thereof. The method includes determining whether the anomalous state is present based on the image data and the acoustic data. The method includes, in response to the anomalous state being satisfied, identifying a location associated with the anomalous state based on the acoustic data and the image data and transmitting a notification based on the anomalous state and the location.

A lone worker system for performing a safety check is provided. The lone worker system includes a mobile device. The mobile device includes a memory storing a safety check application thereon and a processor. The processor is coupled to the memory and executes the safety check application. The processor initiates the safety check application with respect to the service call. The safety check application executes a use-case safety monitoring of the mobile device with respect to a service call to implement the safety check. The use-case safety monitoring detects an emergency situation with respect to a connectivity of the mobile device to a server, an activity of the mobile device, and a motion of the mobile device.