Methods, systems, and computer programs are presented for determining flood levels within a region. One method includes an operation for detecting an alert generated by one of a riverine, a coastal, or an urban model. Further, the method includes operations for selecting one or more regions for estimating flood data based on the detected alert, and for calculating, by an inundation model, region flood data for each of the selected regions based on outputs from the riverine model, the coastal model, and the urban model. Additionally, the method includes an operation for combining the region flood data for the selected one or more regions to obtain combined flood data. The combined flood data is presented on a user interface, such as on a flood inundation map.

Technologies and techniques for automatically executing a security function of a surveillance system with respect to at least one object of interest based on spatially resolved sensor data for environment perception generated by at least one sensor device. Spatially resolved sensor data, is received. A trained machine-learning computer vision model is accessed to determine at least one surveillance parameter. The model includes a set of parameters set to values learned as a result of a training process based on a synthetic training data set, which is generated by rendering at least one model of the at least one object of interest according to at least one render parameter. The generation of the training data set is determined based on at least one environment parameter being characteristic for the environment to be surveilled and/or for the sensor device. The security function is executed depending on the at least one surveillance parameter.

Technologies and techniques for automatically executing a security function of a surveillance system with respect to at least one object of interest based on spatially resolved sensor data for environment perception generated by at least one sensor device. Spatially resolved sensor data, is received. A trained machine-learning computer vision model is accessed to determine at least one surveillance parameter. The model includes a set of parameters set to values learned as a result of a training process based on a synthetic training data set, which is generated by rendering at least one model of the at least one object of interest according to at least one render parameter. The generation of the training data set is determined based on at least one environment parameter being characteristic for the environment to be surveilled and/or for the sensor device. The security function is executed depending on the at least one surveillance parameter.

A setting device including a processor is provided. The processor is configured to, when occurrence of a secondary disaster is predicted after occurrence of a disaster, set a region in which the secondary disaster is predicted to a charging-prohibited zone in which use of a charging facility for charging a battery installed in a vehicle is prohibited.

Embodiments of systems, apparatus, and/or methods are described for enhanced situational awareness of parties associated with responding to an incident, such as an emergency situation, by assigning response resources to a scene of the incident. The disclosed system provides an electronic platform for collaboration or partnership involving two or more parties. In some partnership embodiments, the disclosed system provides a ranked list of potentially available resources that can be assigned to respond to the incident. For example, the potential candidates can be mobile emergency units belonging to a first responder and/or its partner(s). Various beneficial aspects of partnerships and their technical implementations are discussed in detailed herein.

Embodiments of systems, apparatus, and/or methods are described for enhanced situational awareness of parties associated with responding to an incident, such as an emergency situation, by assigning response resources to a scene of the incident. The disclosed system provides an electronic platform for collaboration or partnership involving two or more parties. In some partnership embodiments, the disclosed system provides a ranked list of potentially available resources that can be assigned to respond to the incident. For example, the potential candidates can be mobile emergency units belonging to a first responder and/or its partner(s). Various beneficial aspects of partnerships and their technical implementations are discussed in detailed herein.

The present disclosure belongs to the technical field of monitoring landslide mass geological disasters, and discloses a multi-state triggered system and method for remote automatic monitoring and early warning of a landslide mass. The multi-state triggered system for remote automatic monitoring and early warning of a landslide mass includes: a landslide mass monitoring module, a data preprocessing module, a communication module, a central control module, a displacement monitoring module, a stability evaluation module, an abnormality early warning module, a power supply module, a data storage module and a display update module. In the present disclosure, through the displacement monitoring module and the stability evaluation module, long-term automatic monitoring of the landslide mass can be realized, and the displacement change of the landslide mass can be grasped so as to evaluate the stability of the landslide mass.

The present disclosure belongs to the technical field of monitoring landslide mass geological disasters, and discloses a multi-state triggered system and method for remote automatic monitoring and early warning of a landslide mass. The multi-state triggered system for remote automatic monitoring and early warning of a landslide mass includes: a landslide mass monitoring module, a data preprocessing module, a communication module, a central control module, a displacement monitoring module, a stability evaluation module, an abnormality early warning module, a power supply module, a data storage module and a display update module. In the present disclosure, through the displacement monitoring module and the stability evaluation module, long-term automatic monitoring of the landslide mass can be realized, and the displacement change of the landslide mass can be grasped so as to evaluate the stability of the landslide mass.

A portable programmable display and control module which serves as a basic light switch and a digital custom light switch display. The control module can be removed from the electrical box when power fails to provide for an emergency flashlight. The control module can be provided with a mini-hard drive and microprocessor in order to be able to download digital content and display it on a lighted touch screen. The control module can also be controlled and programmed wirelessly by a computer or smart phone to control light switches, outlets, and other devices. The control module can also include a built-in solar cell to charge the module for prolonged power failures. A battery back-up can also be provided. The module can be provided with a front camera and a rear camera and can be used in emergency events to transmit images and video to first responders. The module can also be provided with two-way radio technology to allow communication with a first responder, in one non-limiting example, during an emergency event.

A device for monitoring and identifying a mountain torrent and debris flow and a method for early warning of disasters relate to the technical field of debris flow protection. The device includes a computation device, sensors, an amplifier and an analog-to-digital converter. The sensors convert an acquired impact force signal into a digital signal by the amplifier and the analog-to-digital converter, and transmits the digital signal to the computation device. The computation device utilizes the digital signal to compute an energy coefficient of a liquid impact signal and a solid-liquid impact energy ratio, and a debris flow mode is monitored and identified in combination with a threshold range of the energy coefficient and a threshold range of the solid-liquid impact energy ratio. The device identifies the nature of the mountain torrent and debris flow through time-frequency analysis of an impact force signal generated by the debris flow to sensors.