An intelligent soldering handpiece comprising a housing; a solder tip; a heater for heating the solder tip; a processor for receiving an image of a solder joint being soldered by the intelligent soldering handpiece, determining solder joint information, and associating the image of the solder joint with the determined solder joint information to distinguish the determined solder joint information for each respective joint.

Thermal methods and systems are described for the batch and/or continuous monitoring of films and/or membranes and/or electrodes produced in large-scale manufacturing lines. Some of the methods described include providing an energy input into a film, measuring a thermal response of the film, and correlating these to one or more physical properties and/or characteristics of the film.

An optical coherence tomography system for ophthalmic use identifies tissue by selected laser heating of that tissue at reduced power levels decreasing background noise to boost signal-to-noise ratio allowing detection of minute changes in thermal expansion caused by that heating at clinically acceptable levels.

A blast furnace control system may include a hardware processor that generates a deep learning based predictive model for forecasting hot metal temperature, where the actual measured HMT data is only available sparsely, and for example, measured at irregular interval of time. HMT data points may be imputed by interpolating the HMT measurement data. HMT gradients are computed and a model is generated to learn a relationship between state variables and the HTM gradients. HMT may be forecasted for a time point, in which no measured HMT data is available. The forecasted HMT may be transmitted to a controller coupled to a blast furnace, to trigger a control action to control a manufacturing process occurring in the blast furnace.

There are provided a system and a method of use thereof for executing a manufacturing process. For example, a method can include executing, by a system configured to drive the manufacturing process, a set of manufacturing functions based on a digital model of a first part. The method can include fetching, by the system, from an in-field scoring system, performance data relating to a second part. The method can further include constructing the digital model based on the performance data relating to the second part. The method can further include generating, based on the digital model, a forecast representative of a performance of the first part and generating the set of manufacturing functions based on the digital model and the forecast. The method further includes manufacturing the first part according to the set of manufacturing functions.

A blast furnace control system may include a hardware processor that generates a deep learning based predictive model for forecasting hot metal temperature, where the actual measured HMT data is only available sparsely, and for example, measured at irregular interval of time. HMT data points may be imputed by interpolating the HMT measurement data. HMT gradients are computed and a model is generated to learn a relationship between state variables and the HTM gradients. HMT may be forecasted for a time point, in which no measured HMT data is available. The forecasted HMT may be transmitted to a controller coupled to a blast furnace, to trigger a control action to control a manufacturing process occurring in the blast furnace.

An embodiment provides a method of predicting a thickness of an oxide layer of a silicon wafer including: aging a heat treatment furnace (furnace); measuring a thickness of each of the oxide layers after disposing a plurality of reference wafers in slots of a heat treatment boat in the furnace and forming oxide layers; and measuring a thickness of each of the oxide layers after disposing the plurality of reference wafers and test wafers in the slots of the heat treatment boat in the furnace and forming oxide layers.

A blast furnace control system may include a hardware processor that generates a deep learning based predictive model for forecasting hot metal temperature, where the actual measured HMT data is only available sparsely, and for example, measured at irregular interval of time. HMT data points may be imputed by interpolating the HMT measurement data. HMT gradients are computed and a model is generated to learn a relationship between state variables and the HTM gradients. HMT may be forecasted for a time point, in which no measured HMT data is available. The forecasted HMT may be transmitted to a controller coupled to a blast furnace, to trigger a control action to control a manufacturing process occurring in the blast furnace.

The present invention relates to a system and a method for measuring the thickness of refractories comprising a heat flux measuring device (10) for measuring the flow of heat flowing from a hot face to a cold face of the refractory, a core (11) surrounded by a thermally insulating jacket (12) comprising, in which the core (11) conducts, between a first (11a) and a second (11b) face, heat from the hot face of the refractory to the cold face of the refractory; and a measuring apparatus (20) configured to: continuously measure the temperature on the first face of the core and on the second face of the core; determining the heat flux flowing through the heat flow measuring device (10) and determining the thickness of the refractory material by means of equivalent thermal conductivity of the refractory material.

The present disclosure discloses a water heater, and a scale detection system and method. The scale detection system comprises: a first temperature detector configured to acquire a first temperature of a heat exchange zone of a water heating device; a second temperature detector configured to acquire a second temperature indicating a water temperature in the water heating device; and a controller in communication with the first temperature detector and the second temperature detector, and configured to acquire a temperature difference between the first temperature and the second temperature based on the first temperature acquired by the first temperature detector and the second temperature acquired by the second temperature detector, and determine that a scale generation amount in the water heating device reaches a preset threshold when at least one of the following judgment conditions is met: the first temperature is not less than a preset temperature threshold; and the temperature difference is not less than a preset temperature difference threshold. The present disclosure can ensure that a user can be reliably and timely reminded to clean the scale under different working conditions.