A display system includes: a transmissive liquid crystal display panel; a light control panel having an active area with a light control area; a temperature detector provided in the liquid crystal display panel and having a detection area with a resistive element; a backlight; and a controller. A display area of the liquid crystal display panel, the active area, and the detection area overlap on an optical path of a projection light. The light control panel is disposed at such an angle that, when the light control area is in a light reflection state, the light control panel reflects external light to a position out of the optical path and different from a position of the liquid crystal display panel. The controller causes the light control area to reflect light when an output indicating that the resistive element has a predetermined temperature or higher is obtained.

Systems and methods are described for securely monitoring a shipping container for an environmental anomaly using elements of a wireless node network of sensor-based ID nodes disposed within the container and a command node associated with the container. The method has the command node identifying which of the ID nodes are confirmed as trusted sensors based upon a security credential specific to each of the ID nodes; monitoring only the confirmed ID nodes for sensor data broadcast those ID nodes; detecting the anomaly based upon the sensor data from at least one of the confirmed ID nodes; automatically generating an alert notification related to the detected environmental anomaly for the shipping container; and transmitting the alert notification to the external transceiver to initiate a mediation response related to the detected environmental anomaly.

A water level detection device capable of preventing water from overflowing due to a bumping phenomenon or excessive number of cooking objects and capable of detecting a water level inside a cookware, comprises: a first probe; a second probe; a lean angle sensor configured to detect a lean angle of the first probe and the second probe; a capacitance sensor configured to detect capacitance between the first probe and the second probe; and a processor configured to calculate a danger level of the cookware based on an intensity of a current flowing from the first probe to the second probe and the lean angle of the first probe and the second probe; and configured to determine whether the water level inside the cookware reaches the danger level based on the capacitance between the first probe and the second probe.

A water level detection device capable of preventing water from overflowing due to a bumping phenomenon or excessive number of cooking objects and capable of detecting a water level inside a cookware, comprises: a first probe; a second probe; a lean angle sensor configured to detect a lean angle of the first probe and the second probe; a capacitance sensor configured to detect capacitance between the first probe and the second probe; and a processor configured to calculate a danger level of the cookware based on an intensity of a current flowing from the first probe to the second probe and the lean angle of the first probe and the second probe; and configured to determine whether the water level inside the cookware reaches the danger level based on the capacitance between the first probe and the second probe.

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 and/or events based on current readings and use the predictions in methods described herein.

A system that detects temperature and current events in a power grid is provided. The system includes a magnetic field sensor associated with an electric meter, a first temperature sensor associated with the electric meter, a plurality of bus bars connected to the electric meter and at least one temperature sensor uniquely associated with each of the plurality of bus bars. The system detects a magnetic field and compares the detected magnetic field to an expected magnetic field threshold or magnetic field threshold range to provide a magnetic field comparison result and the system detects a plurality of temperatures and compares the detected plurality of temperatures to expected temperature thresholds or temperature threshold ranges to provide a temperature comparison result. The system determines if a notification should be sent based on the magnetic field comparison result and/or the temperature comparison result.

A temperature-sensing circuit is provided, which includes: a search-control circuit, a voltage-reference circuit, a CTAT (complementary to absolute temperature) circuit, a digital-to-analog converter (DAC) circuit, a comparison circuit, and an SAR (successive approximation register) circuit. The search-control circuit generates a reference-voltage selection signal according to a plurality of control signals. The voltage-reference circuit selects a first reference voltage from a plurality of candidate reference voltages according to the reference-voltage selection signal, and provides a second reference voltage. The CTAT circuit converts the second reference voltage into a first comparison voltage. The DAC circuit converts the first reference voltage into a second comparison voltage. The comparison circuit compares the first comparison voltage and the second comparison voltage to generate a comparison-result signal. The SAR control circuit outputs each bit of a temperature-segment signal of an operating temperature according to the comparison-result signal. The control signals include the temperature-segment signal.

An apparatus includes a battery having a battery monitoring unit (BMU) and an outer casing, and a resistance measuring device coupled to the outer casing. The battery monitoring unit and the resistance measuring device monitoring a change in surface temperature on the casing of the battery during a charging or discharging of the battery, compare the change in surface temperature with an expected change in surface temperature during the charging or discharging of the battery, and determine that a swelling of the battery has occurred when the change in surface temperature is less than the expected change in the surface temperature.

An object of the present invention is to enhance fault detection accuracy offered by a fault detection apparatus. A microcomputer reads a characteristic signal input thereto. The microcomputer compares a characteristic read from the characteristic signal with a previously established reference value. The previously established reference value represents a characteristic exhibited by a resistor that is connected with a temperature sensor circuit when the temperature sensor circuit operates normally. The microcomputer determines whether the characteristic exhibited by the resistor falls within a detection range. If it is determined that the characteristic falls with the detection range, the temperature sensor circuit is detected to be operational and information indicating that the temperature sensor circuit is operational is output to a host control apparatus. If it is determined that the detection range is exceeded, the temperature sensor circuit is detected to be faulty and information indicating that the temperature sensor circuit is faulty is output to the host control apparatus.

Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously enable smart refrigeration systems including retail.