Disclosed is a load-predicting and control system for a subway heating, ventilation and air conditioning system. In one aspect, a load-predicting and control system for a subway heating, ventilation and air conditioning system is provided. The system includes a basic database, a sensing system, a load predicting unit, and a controller; the basic database stores historical data; the sensing system provides measured data; the load predicting unit calculates a predicted load value of the subway heating, ventilation and air conditioning based on the historical data and the measured data, and transmits the predicted load value to the controller; the controller issues a control command based on the predicted load value. Also provided is a load-predicting and control method for the subway heating, ventilation and air conditioning system. The present disclosure solves problems such as poor accuracy of conventional load prediction and inadequate control of the air conditioning system.

Systems and methods of making and using a sink device fitted with sensors that measure characteristics related to the water cleansing and maintenance of the sink and its turnover and communicate this data to a cloud-based system that automatically or remotely operates mechanisms that control soap dispensation, sanitizer dispensation, liquid level, water temperature and dispensation, water cleanliness (with or without soap or sanitizer in solution) and draining, as required for hospitality regulation compliance. Although three-compartment sinks are the primary subject matter used in the following examples to illustrate the features and functions of the systems and methods, the features and functions provided by the present disclosure may be adapted for use in other sinks, tubs, and the like.

Apparatus and associated methods relate to a pest repelling magnetic field generating device (PRD) having a temperature sensor to detect the temperature of a solenoid coil during operation. The detected temperature to be used to ensure that the PRD operates within an ideal temperature range. Additionally, a fan is oriented within a housing of the PRD to force the flow of air from inside a housing of the PRD to outside a housing the PRD. In an illustrative example, the PRD may shut off if the temperature of the solenoid coil moves outside the ideal temperature range. By operating the PRD within an ideal temperature range, the service life of the PRD may be extended. Further, the fan may mitigate dust collection within the housing of the pest repelling magnetic field generating device.

The device for feeding molten plastic material into a molding cavity (30) includes a melting chamber (20) in which metered solid plastic material is introduced, a sonotrode (10) provided for tightly inserting a portion thereof into said melting chamber (20), causing the plastic material to melt by means of vibration, and relative movement of the sonotrode (10) and melting chamber (20) allows driving the molten plastic material inside a molding cavity (30) communicated with said melting chamber (20), the device including resistance sensors (40) allowing an electronic control device (50) to know the resistance that the plastic material has against the movement of the sonotrode (10).

Apparatus and associated methods relate to a pest repelling magnetic field generating device (PRD) having a temperature sensor to detect the temperature of a solenoid coil during operation. The detected temperature to be used to ensure that the PRD operates within an ideal temperature range. Additionally, a fan is oriented within a housing of the PRD to force the flow of air from inside a housing of the PRD to outside a housing the PRD. In an illustrative example, the PRD may shut off if the temperature of the solenoid coil moves outside the ideal temperature range. By operating the PRD within an ideal temperature range, the service life of the PRD may be extended. Further, the fan may mitigate dust collection within the housing of the pest repelling magnetic field generating device.

Inference server and environment controller for inferring via a neural network one or more commands for controlling an appliance. The environment controller determines at least one room characteristic. The environment controller receives at least one environmental characteristic value and at least one set point. The environment controller transmits the at least one environmental characteristic, set point and room characteristic to the inference server. The inference server executes a neural network inference engine using a predictive model (generated by a neural network training engine) for inferring the one or more commands for controlling the appliance. The inference is based on the received at least one environmental characteristic value, at least one set point and at least one room characteristic. The inference server transmits the one or more commands to the environment controller, which forwards the one or more commands to the controlled appliance.

The present invention provides an intelligent dynamic control system of an indoor temperature. The system includes a controller, and a human-computer interaction interface, a temperature adjustment device, an indoor temperature collector and an outdoor temperature collector, which are respectively connected with the controller. According to the technical solution provided by the present invention, the system is simple, convenient to implement, good in control effect and remarkable in energy saving effect; outdoor temperature data are collected by the outdoor temperature collector and are compared with the indoor temperature collected by the indoor temperature collector, in combination with the parameters of resident population, and by means of analysis and intelligent adjustment of the indoor temperature, the most comfortable temperature is provided for indoor residents; furthermore, constant control and constant adjustment can be achieved, thereby not only ensuring the comfort, but also avoiding unnecessary energy consumption; and respective adjustment is provided for each house and each room, the space occupation is small, and the adjustment efficiency is high.

Apparatus and methods are described for use with a vaporizer that vaporizes at least one active ingredient of a plant material. In response to receiving a first input to the vaporizer, the plant material is heated, in a first heating step. An indication of the temperature of the plant material is detected, and, in response to detecting an indication that the temperature of the plant material is at a first temperature, the first heating step is terminated, by withholding causing further temperature increase of the plant material. The first temperature is less than 95 percent of the vaporization temperature of the active ingredient. Subsequently, a second input is received at the vaporizer. In response thereto, the plant material is heated to the vaporization temperature, in a second heating step. Other applications are also described.

Apparatus and methods are described for use with a vaporizer that vaporizes at least one active ingredient of a plant material. In response to receiving a first input to the vaporizer, the plant material is heated, in a first heating step. An indication of the temperature of the plant material is detected, and, in response to detecting an indication that the temperature of the plant material is at a first temperature, the first heating step is terminated, by withholding causing further temperature increase of the plant material. The first temperature is less than 95 percent of the vaporization temperature of the active ingredient. Subsequently, a second input is received at the vaporizer. In response thereto, the plant material is heated to the vaporization temperature, in a second heating step. Other applications are also described.

One embodiment provides a method, including: receiving, from at least one sensor operatively coupled to a mechanical device, sensor data corresponding to a function of the mechanical device; accessing, from an environmental database, information regarding at least one environmental condition in proximity to a geographical location of the mechanical device; generating, using a processor, a correlative value for the mechanical device, wherein the correlative value identifies a correlation between the sensor data corresponding to a function of the mechanical device and the at least one environmental condition; assigning the correlative value as a baseline correlative value to the mechanical device; monitoring the sensor data corresponding to a function of the mechanical device and the at least one environmental condition and updating the correlative value; identifying, using a processor, the correlative value for the mechanical device has exceeded a predetermined threshold as compared to the baseline correlative value; and notifying a user that the correlative value for the mechanical device has exceeded the predetermined threshold. Other aspects are described and claimed.