A monitoring system according to the present disclosure includes an optical fiber (10) laid on a ground or a seabed, an optical fiber sensing unit (21) configured to receive an optical signal from the optical fiber (10) and detect a vibration produced in the ground or the seabed based on the optical signal, and an analyzing unit (22) configured to identify a natural phenomenon that has caused the detected vibration based on a unique pattern of the detected vibration.

An optical communication system that enables any deployed fiber-optic cable to function as an earthquake-detection sensor. In an example embodiment, a WDM optical transmitter of one network node operates to transmit a CW optical signal together with legacy data-carrying optical signals. At another network node, a low-complexity, low-latency coherent optical receiver is used to obtain time-resolved measurements of the Stokes parameters of the CW optical signal. The signal-processing chain of the optical receiver employs digital filtering to select frequency components of the measurements streams corresponding to seismic disturbances of the fiber-optical cable connecting the nodes. The selected frequency components are then used to compute values of an earthquake indicator, which are reported to a network controller. Based on such reports from three or more nodes, the network controller can determine the epicenter and magnitude of the earthquake and, if warranted, may generate a tsunami forecast.

Methods, systems, and devices for operating emergency prevention sensor systems are described. Devices can include a plurality of components including a sensor component, a processor, and memory. In an example, a method can include receiving at a processor signaling from a plurality of environmental sensing devices, each having at least one biodegradable component, in an area of concern, wherein the area of concern corresponds to a particular set of coordinates in a database, determining environmental characteristics of an emergency associated with the area of concern based, at least in part, on the signaling, and determining a preventive action based on the determined characteristics. In another example, a number of components of the sensing devices are biodegradable.

The present disclosure is directed to collecting and processing data from computing devices of a plurality of autonomous vehicles (AVs). The data received from each of these AV computing devices may include raw sensor data or data that has been generated using data received by one or more sensors at respective AVs. Once this data is collected and associated with discrete locations and times, the data may be evaluated and used to generate mappings of various sorts. These mappings may include mappings of underground features generated based on an evaluations of vibration data. Alternatively, or additionally, these mapping may include mappings of landscape features, atmospheric features, or the locations of aircraft from data associated with certain types of sensing apparatus, for example radar apparatus or light detecting and ranging (LiDAR) apparatus.

An information processing device includes: a receiver configured to receive an emergency signal indicating occurrence of a disaster; an acquisition unit configured to acquire traveling data from a predetermined small size vehicle in a case where the emergency signal is received; and a generation unit configured to generate map information indicating passable route passable for a person based on the traveling data, the passable route including a route including a place other than an existing road.

The Abstract, as originally filed on November 5, 2021, is retained.

A geological subsurface movement detection system that is configured to provide detection of movement in a subsurface area so as to provide data regarding issues such as but not limited to sinkhole development. The present invention includes an implant sensor assembly that is placed within a casing that has been installed in a bored hole in the ground. The implant sensor assembly includes a switch housing that is operably coupled to a contact member wherein the contact member is operably coupled utilizing a spring member. The switch housing includes a first switch and a second switch disposed in the interior volume that are electrically coupled on a circuit. A signal generator is operably coupled to the implant sensor assembly via a wire and is operable to send a pulse electrical signal thereon. A computing device is operably coupled to the signal generator and is operable to collect signal profile data.

The invention provides a method of detecting a seismic event, which comprises acquiring (110) a digital signal x characteristic of a signal measured by at least one seismic sensor, and calculating (130) a time-frequency distribution for at least one section of a given duration of said signal, in a given frequency band. For each frequency of said frequency band, the calculated time-frequency distribution is normalized. The method also comprises calculating (150) the moving average of the normalized time-frequency distribution ZD, in said frequency band and in a time window, given reference L, centered on the time n; and detecting (160) a seismic event when the average exceeds a predefined threshold value. The invention also provides a corresponding detection system.

The present invention discloses a submarine seismic monitoring apparatus and system based on the submarine Internet of things. A sea surface buoy network device and a submarine network device in the monitoring apparatus are connected by using an anchor system; the submarine network device and a submarine seismic detection device are connected by using a submarine photoelectric composite cable; there are one or more submarine seismic detection devices; the sea surface buoy network device includes a satellite transceiver apparatus, an Internet of things platform server, a network time server, and an autonomous energy supply apparatus; the submarine network device includes a photoelectric separation cabin, a submarine server, a bottom anchor weight block, and a mechanical releaser; and the submarine seismic detection device includes multiple submarine seismometer network nodes, where the multiple submarine seismometer network nodes are successively connected in series end to end by using the submarine photoelectric composite cable. The apparatus and system in the present invention not only can be used for submarine structure detection, but also can be used for earthquake disaster and tsunami warning, and can implement autonomous energy supply, long timing, and unattended operation.

A method of predicting parameters of an earthquake uses an array of ionosondes to scan an observed volume of an ionosphere located above a seismically active zone. The method includes monitoring ionograms provided by the array of ionosondes; detecting the presence of at least one seismic-induced irregularity (SII); determining a first predicted parameter corresponding to an epicenter location; and determining one or more predicted parameters selected from a group consisting of a magnitude, a time of occurrence, and a hypocenter depth. Algorithms for calculating the predicted parameters are presented in detail.