A system for detecting fungus, virus, and disease-causing pathogens in an agricultural industry using artificial intelligence, which comprises: an unmanned aerial vehicle (UAV); and a ground terminal telecommunicating with the UAV using a wireless access communication, wherein the UAV comprises a wireless transmitter for transmitting data to and from the ground terminal, an array of cantilevers on a substrate located at one side of the wireless transmitter, a blacklight located at the other side of the wireless transmitter, and a sensory part located on the wireless transmitter, wherein the cantilever is made up of beams anchored at one end and projecting into space, and wherein the sensory part comprises a scanner with a high-definition microscope camera, a laser sensor for three-dimensional areal mapping, an infrared sensor, a humidity sensor, a thermostat, a gas sensor, a thermal sensor, an optical dust particle sensor, an electro-optical sensor, and an air quality sensor, and wherein the ground terminal comprises an artificial intelligence machine-learning and data-mining platform wirelessly telecommunicating with the UAV.

Systems and methods for temperature monitoring and environmentally related calculations are disclosed herein. A system according to embodiments herein may include a memory, a network interface, and one or more processors. The system may receive one or more environmental readings from a sensor taking readings at an environmentally controlled area. The system may further determine a timestamp corresponding to each of the one or more readings and calculate, using the one or more readings and their corresponding timestamps, an exposure of a good stored within the temperature controlled area. The system may further determine that the calculated exposure of the good has surpassed a pre-determined exposure threshold for the good and send an electronic message configured to indicate such determination to a user. The system may use a neural network to predict future readings based on current readings and use the predicted future readings in methods described herein.

A resistive particle sensor is described for detecting soot in the exhaust gas of an internal combustion engine, including a sensor element having two strip conductors, which extend spaced apart in meanders in parallel to one another in an area of the sensor element that may be exposed to the exhaust gas, and a resistance strip conductor, the two strip conductors each being capacitively connected via capacitor elements to the resistance strip conductor.

A gas sensor includes a sensor element, an inner protective cover including a first member and a second member, and an outer protective cover having outer inlets. The inner protective cover has a sensor element chamber inside. The outer protective cover and the inner protective cover form an inlet-side gas flow channel from an outside to the sensor element chamber. The inlet-side gas flow channel has a first flow channel extending in an upward direction from the outer inlets and a second flow channel extending in a downward direction. A ratio W2/W1 between a flow channel width W1 of the first flow channel and a flow channel width W2 of the second flow channel is less than one. A tip end portion of the outer protective cover has a tapered portion that reduces in diameter toward a bottom portion of the tip end portion.

Disclosed are methods and systems for detecting and predicting events of increased seismic activity (i.e. earthquake activity). The methods include providing data catalogs, constructing magnitude versus time coordinate graphs, identifying energy levels of the graphs, and identifying further the obliquity angles of maximum and minimum energy levels and average increments between minimum and maximum energy levels. The methods also comprise constructing time arrows using the identified information, identifying energy centers via the time arrows, and analyzing variability throughout the seismic structure to predict a future event. Also disclosed are methods for predicting events based on attenuation wedge and energy parallelogram analysis.

The present disclosure describes methods and systems for determining a flow of a combustible portion of vent gas delivered to an engine. The flow rate measurement may be performed by using the engine response to a relatively short (e.g. 1 to 5 s) interruption of the vent gas flow. A cross-correlation between RPM data of the engine and a reference signal corresponding to a state of a valve configured to interrupt the vent gas flow is determined, and a flow rate of the combustible portion of the vent gas delivered to the engine is determined from the maximum value of the cross-correlation.

According to an embodiment, a monitoring device, comprising: a sensor for sensing inflow gas information including a component and a concentration of an inflow gas introduced into a regenerative thermal oxidizer (RTO); and a processor for determining residual gas information including a component and a concentration of a residual gas in the RTO by using the inflow gas information, and updating an inflow amount per unit time of the inflow gas according to a risk level of the RTO determined based on the residual gas information, is provided.

A damper is provided which can more reliably prevent malfunction and breakdown and which enables efficiently performing repair and inspection operations. This damper, provided with a casing linked to a first object and a rotating part linked to a second object rotatably attached to the first object, damps rotation in either the direction closing or the direction opening the second object, and is provided with a sensor which detects prescribed change in the external environment in the damper or around the damper, and a control unit which externally communicates, over a communication network, information relating to the change in the external environment detected by the sensor, wherein the sensor is configured from at least one of: a rotation sensor for detecting the number of revolutions of the rotating part: a sound sensor for detecting sound during rotations of the rotating part; a temperature sensor for detecting temperature; and a torque sensor for detecting torque on the basis of friction during rotation of the rotating part.

A sensor assembly including a housing having an inlet an outlet and an interior space generally closed from an environment external to the sensor assembly. The interior space of the housing can include an inlet zone, a central zone and an outlet zone. A baffle can be disposed within the central zone of the interior space of the housing and be located between the inlet zone and the outlet zone and nearer to the inlet zone than to the outlet zone. The baffle can extend downwardly from an upper side of the housing. A gas sensor that can be operable to detect a presence of a lower GWP refrigerant can be disposed in the outlet zone of the interior space of the housing. The housing includes a door in a lower side of the housing in the central zone of the housing.

One variation of a method for detecting pathogens includes: accessing a timeseries of pathogen data for a pathogen, in a set of pathogens, derived from a series of pathogen samples collected in an environment during a time period; characterizing a pathogen profile, representative of changes in pathogen level of the first pathogen in the environment during the time period, based on the timeseries of pathogen data; accessing a baseline pathogen profile representative of changes in pathogen levels of the set of pathogens in the environment during an initial time period preceding the time period; characterizing a difference between the pathogen profile and the baseline pathogen profile; and, in response to the difference exceeding a threshold difference, selecting a mitigation action configured to reduce pathogen levels of the first pathogen and transmitting a prompt to execute the mitigation action to a user associated with the indoor environment.