A water content sensor includes: a light emitter that emits detection light having a first wavelength band and reference light a second wavelength band toward a road surface; a first light receiver that converts the detection light reflected by the road surface to a first electric signal; a second light receiver that converts the reference light reflected by the road surface to a second electric signal; and a computation processor that detects the amount of water based on a signal ratio between the first electric signal and the second electric signal. The computation processor detects the amount of water based on the signal ratio obtained when the signal intensity of at least one of the first electric signal and the second electric signal is within a predetermined range defined relative to a reference value.

A water content sensor includes: a light emitter that emits detection light having a first wavelength band and reference light a second wavelength band toward a road surface; a first light receiver that converts the detection light reflected by the road surface to a first electric signal; a second light receiver that converts the reference light reflected by the road surface to a second electric signal; and a computation processor that detects the amount of water based on a signal ratio between the first electric signal and the second electric signal. The computation processor detects the amount of water based on the signal ratio obtained when the signal intensity of at least one of the first electric signal and the second electric signal is within a predetermined range defined relative to a reference value.

Aspects of the present disclosure describe snow / water level detection using distributed fiber optic sensing / distributed acoustic sensing (DFOS/DAS) and an integrated ultrasonic device that advantageously operates over existing optical telecommunications facilities carrying live telecommunications traffic - or optical facilities deployed specifically for such detection. DFOS/DAS monitoring of snow / water level advantageously monitors large areas with high sensitivity while exhibiting robustness to changing environmental conditions and employs a remote (utility pole or other mounting) mounted ultrasonic sensor/transducer that provides snow / water level data in real-time as a coded vibrational signal.

Aspects of the present disclosure describe distributed fiber optic sensing/distributed acoustic sensing (DFOS/DAS) systems, methods, and structures that advantageously provide rainfall intensity measurements along an entire length of a fiber optic sensor. using existing telecommunications optical fiber—which may be part of a multi-fiber, fiber optic cable—that may simultaneously carry live telecommunications traffic. The DFOS/DAS fiber optic sensing is used to obtain vibration and/or sound data from which rainfall intensity measurements may be made along the entire length of the DFOS/DAS fiber optic sensor.

Aspects of the present disclosure describe distributed fiber optic sensing/distributed acoustic sensing (DFOS/DAS) systems, methods, and structures that advantageously provide rainfall intensity measurements along an entire length of a fiber optic sensor. using existing telecommunications optical fiber—which may be part of a multi-fiber, fiber optic cable—that may simultaneously carry live telecommunications traffic. The DFOS/DAS fiber optic sensing is used to obtain vibration and/or sound data from which rainfall intensity measurements may be made along the entire length of the DFOS/DAS fiber optic sensor.

It is desirable to provide an information processing apparatus, an information processing method, a program, and a monitoring system capable of monitoring a condition of a measured surface highly accurately and using the monitoring result effectively. To attain the aforementioned object, according to a mode of the present invention, an information processing apparatus includes an obtaining module and a generating module. The obtaining module obtains measuring data about a measured surface. The generating module generates covering material information about a covering material that covers the measured surface based on a feature of the obtained measuring data.

It is desirable to provide an information processing apparatus, an information processing method, a program, and a monitoring system capable of monitoring a condition of a measured surface highly accurately and using the monitoring result effectively. To attain the aforementioned object, according to a mode of the present invention, an information processing apparatus includes an obtaining module and a generating module. The obtaining module obtains measuring data about a measured surface. The generating module generates covering material information about a covering material that covers the measured surface based on a feature of the obtained measuring data.

A PaaS platform-based ultra-low power consumption soil near-ground wireless sensing system includes a plurality of sensors mounted in soil, a signal transceiver module is arranged in the sensor, the signal transceiver module transmits a signal to a LoRaWan gateway through LoRa wireless communication, and the LoRaWan gateway is successively connected to a PaaS platform and a user group; and the sensors include a soil moisture sensor, a soil salinity sensor and a rainfall sensor. The PaaS platform-based ultra-low power consumption soil near-ground wireless sensing system of the invention enables sensor nodes to have ultra-low power consumption; and through fusion with a LoRa communication technology, a node network with ultra-low power consumption and long-distance transmission is constructed.

A PaaS platform-based ultra-low power consumption soil near-ground wireless sensing system includes a plurality of sensors mounted in soil, a signal transceiver module is arranged in the sensor, the signal transceiver module transmits a signal to a LoRaWan gateway through LoRa wireless communication, and the LoRaWan gateway is successively connected to a PaaS platform and a user group; and the sensors include a soil moisture sensor, a soil salinity sensor and a rainfall sensor. The PaaS platform-based ultra-low power consumption soil near-ground wireless sensing system of the invention enables sensor nodes to have ultra-low power consumption; and through fusion with a LoRa communication technology, a node network with ultra-low power consumption and long-distance transmission is constructed.

A storage unit stores ranking information including an index value relating to past rainfall and a corresponding date-time and damage information including details of damage that occurred due to past rainfall and a corresponding date-time. A real-time data reception unit acquires a spot value and a forecast value of current precipitation. Also, a comparison operation unit computes an index value relating to current rainfall using the acquired spot value and forecast value. The comparison operation unit specifies, with reference to the ranking information, the date-time of an index value relating to past rainfall whose similarity to the computed index value relating to current rainfall is not less than a threshold value. An information output unit presents, with reference to the damage information, details of damage that occurred in a period whose difference from the specified date-time of the index value relating to past rainfall is in a predetermined range.