A system for sensing and responding to detected activity or an event in a region is provided. The system may comprise: a modular edge computing platform configured to provide a predetermined functionality for a particular application, the modular edge computing platform is configured to process sensor data to generate processed data, and transmit the processed data; and a remote entity that comprises (i) a cloud analytic configured to receive the processed data from the modular edge computing platform and analyze the processed data, and (ii) a cloud user interface module configured to provide a graphical user interface on a user device, the graphical user interface displays one or more results generated by the cloud analytic upon analyzing the processed data.

Systems and methods for operating a security system. The methods comprise: monitoring an area for a presence of an individual or vehicle using wireless signals of a first type that are received by a first radio of the security system; operating the first radio as a wireless sensor for generating sensor data; determining whether the individual or vehicle is exhibiting an unusual behavior using the sensor data and pre-programmed or machine learned patterns of unusual behavior; changing an operating frequency of the first radio when a determination is made that the individual or vehicle is exhibiting unusual behavior; and communicating a wireless signal of a second type from the first radio when the individual or vehicle is exhibiting unusual behavior, where the second type is different than the first type.

Disclosed are a method and system for predicting a health risk. In an embodiment, a method of predicting a health risk may include collecting a health condition index, generating time-series data by accumulating the health condition index at given time intervals, calculating a health condition index prediction value in a future time by inputting the generated time-series data to a health condition index prediction model, comparing the calculated health condition index prediction value with a preset threshold, and generating a danger alert signal when the calculated health condition index prediction value is out of the threshold.

An early alert and location intelligence geographic information system (GIS) includes a plurality of Internet of Thing (IoT) devices and a GIS system. The GIS system tracks locations and movements of the IoT devices and is activated when an IoT device signals detection of a threat or an urgent medical need. Based on locations and escalating state changes of the IoT devices, alerts are provided to the IoT devices, and the threat location, a danger zone and a buffer zone are calculated and displayed on a mobile software application. Based on device proximity to the threat location, the GIS system communicates escape directions and shelter guidance to the mobile software applications of those affected. Smart alert escalations are provided as needed to security, law enforcement and medical personnel.

An early alert and location intelligence geographic information system (GIS) includes a plurality of Internet of Thing (IoT) devices and a GIS system. The GIS system tracks locations and movements of the IoT devices and is activated when an IoT device signals detection of a threat or an urgent medical need. Based on locations and escalating state changes of the IoT devices, alerts are provided to the IoT devices, and the threat location, a danger zone and a buffer zone are calculated and displayed on a mobile software application. Based on device proximity to the threat location, the GIS system communicates escape directions and shelter guidance to the mobile software applications of those affected. Smart alert escalations are provided as needed to security, law enforcement and medical personnel.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automating bulk location-based actions in response to disaster events. A system obtains data defining zones related to different geographic locations and configures a set of preferences for each zone. One of the preferences is a command for responding to an event. The system detects a disaster event and determines that a location affected by the event is related to a zone defined at the system. The system obtains sensor data generated by a sensor in the zone that is connected to a monitoring system for the zone. The system generates an alert based on the sensor data and the command and provides the alert to a client device of an entity that manages properties in the zone. The alert provides an assessment of how the disaster event affects items at properties in the zone.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automating bulk location-based actions in response to disaster events. A system obtains data defining zones related to different geographic locations and configures a set of preferences for each zone. One of the preferences is a command for responding to an event. The system detects a disaster event and determines that a location affected by the event is related to a zone defined at the system. The system obtains sensor data generated by a sensor in the zone that is connected to a monitoring system for the zone. The system generates an alert based on the sensor data and the command and provides the alert to a client device of an entity that manages properties in the zone. The alert provides an assessment of how the disaster event affects items at properties in the zone.

An elevator preventive maintenance system capable of helping, when an abnormality of an elevator is predicted to occur, a concerned person needing no countermeasure information to grasp information quickly and easily, and helping a concerned person needing countermeasure information to react to the abnormality quickly and precisely. The system includes: a prediction section configured to predict an abnormality of an elevator to occur, based on abnormality prediction information; a storage section configured to pre-store concerned person information relating to the elevator; a communication section configured to transmit abnormality occurrence prediction information to concerned person in the case the abnormality is predicted to occur.

An elevator preventive maintenance system capable of helping, when an abnormality of an elevator is predicted to occur, a concerned person needing no countermeasure information to grasp information quickly and easily, and helping a concerned person needing countermeasure information to react to the abnormality quickly and precisely. The system includes: a prediction section configured to predict an abnormality of an elevator to occur, based on abnormality prediction information; a storage section configured to pre-store concerned person information relating to the elevator; a communication section configured to transmit abnormality occurrence prediction information to concerned person in the case the abnormality is predicted to occur.

A plurality of multifunctional underwater 3D displacement meters are arranged in a lattice and connected sequentially; four rotation shafts may be rotatably mounted in a housing and extend in a vertical direction, one end of the rotation shaft and the housing are connected to a compressible spring, four perforations penetrate the housing in a circumferential direction at intervals, the metallic lines correspond to the perforations one to one, one end of the metallic line is wound around the rotation shaft, and the other end thereof penetrates out of the perforation and is connected to the metallic line of the adjacent 3D displacement meter; and the displacement meter corresponds to the metallic line for measuring a take-up and pay-off length of the metallic line, and a three-axis acceleration sensor and a fluxgate monitor inclination angle change and azimuth angle change of the 3D displacement meter.