A system for providing monitoring of commercial cooking equipment includes a database comprising a plurality of device records, and a plurality of technician records. The system further includes a computing device comprising a network interface device, a sensor coupled to the cooking unit, and a processor for reading the sensor data from the sensor and transmitting the sensor data to a server. The system further includes a server for receiving the sensor data, finding a technician within the vicinity that can service the cooking unit, and sending a message to the technician including the sensor data and the contact information for the owner of the cooking unit, so that the technician may service the cooking unit. The system is further configured for monitoring the performance and usage of the cooking unit; identifying potential problems and issues with the cooking unit; and sending a message to customers.

An energy-saving dynamic production scheduling operation method for a parallel heat treatment process which handle processes in parallel is provided. The energy-saving dynamic production scheduling operation method includes: acquiring, by a production scheduling operation system, dynamic state information of a process of each processor; scheduling, by the production scheduling operation system, the process of each processor based on the dynamic state information; and deriving, by the production scheduling operation system, an estimated cost based on a result of generating a schedule regarding the process of each processor. Accordingly, an input sequence of heat treatment target products and a combination schedule can be optimized by reflecting dynamic state information (a product inputted to a corresponding heat treatment furnace, estimated heat treatment start and end times, cooling and heating states, etc.) of a plurality of heat treatment furnace which handle processes in parallel.

A control scheme for a furnace can use real-time and historical data to model performance and determine relationships between different data and performance parameters for use in correcting suboptimal performance of the furnace in real-time. Operational parameters can be logged throughout the cycle for all cycles for a period of time in order to establish a baseline. This data can then be used to calculate the performance of the process. A regression analysis can be carried out in order to determine which parameters affect different aspects of performance. These relationships can then be used to predict performance during a single cycle in real-time and provide closed or open loop feedback to control furnace operation to result in enhanced performance.

A control scheme for a furnace can use real-time and historical data to model performance and determine relationships between different data and performance parameters for use in correcting suboptimal performance of the furnace in real-time. Operational parameters can be logged throughout the cycle for all cycles for a period of time in order to establish a baseline. This data can then be used to calculate the performance of the process. A regression analysis can be carried out in order to determine which parameters affect different aspects of performance. These relationships can then be used to predict performance during a single cycle in real-time and provide closed or open loop feedback to control furnace operation to result in enhanced performance.

A plant to produce metal products, and a corresponding management method, where the plant includes a production line which includes a plurality of operating units, each provided with respective hydraulic circuits, selected from a melting unit, a casting unit, a rolling unit and a cooling treatment apparatus, and a water supply unit having a tank for the water connected to each of the hydraulic circuits and a plurality of water feed devices configured to feed water from the tank to respective hydraulic circuits.

An energy-saving dynamic production scheduling operation method for a parallel heat treatment process which handle processes in parallel is provided. The energy-saving dynamic production scheduling operation method includes: acquiring, by a production scheduling operation system, dynamic state information of a process of each processor; scheduling, by the production scheduling operation system, the process of each processor based on the dynamic state information; and deriving, by the production scheduling operation system, an estimated cost based on a result of generating a schedule regarding the process of each processor. Accordingly, an input sequence of heat treatment target products and a combination schedule can be optimized by reflecting dynamic state information (a product inputted to a corresponding heat treatment furnace, estimated heat treatment start and end times, cooling and heating states, etc.) of a plurality of heat treatment furnace which handle processes in parallel.

A system for providing monitoring of commercial cooking equipment includes a database comprising a plurality of device records, and a plurality of technician records. The system further includes a computing device comprising a network interface device, a sensor coupled to the cooking unit, and a processor for reading the sensor data from the sensor and transmitting the sensor data to a server. The system further includes a server for receiving the sensor data, finding a technician within the vicinity that can service the cooking unit, and sending a message to the technician including the sensor data and the contact information for the owner of the cooking unit, so that the technician may service the cooking unit. The system is further configured for monitoring the performance and usage of the cooking unit; identifying potential problems and issues with the cooking unit; and sending a message to customers.

A method for controlled heating of a part by a steel furnace or a heat treatment furnace includes: obtaining a heating scheme defining a desired evolution of one or more indicators of a temperature of the part during heating in the furnace; providing the part to be heated to the furnace; three-dimensional digital modeling of the heating of the part, in real time and simultaneous to the heating of the part, the digital modeling being based on a discretization of a space containing the part into voxels and using current heating parameters of the furnace and a three-dimensional model of the part to be heated, the modeling including predicting the one or more indicators of the temperature of the part for a next reference time, the heating parameters of the furnace including the power, the temperature, or the settings of actuators; comparing the one or more indicators.

At least one measurement value of a measurement variable characterizing the operating state of each of a plurality of system components that influence the operating conditions of an arc furnace is detected and compared to a respective currently permissible threshold value for the measurement variable. A maximum power that can be supplied to the arc furnace within a time window while satisfying all currently permissible threshold values is determined based on the result of the comparison.

An apparatus comprises a shrink tunnel for use in a production system for the production of packaging units from packaging materials filled with a product and having shrink film shrunk thereon, the shrink tunnel comprising a tunnel zone, heating means for application of heat to shrink the shrink film onto packaging units moved through the tunnel zone, the tunnel zone being maintained at a tunnel temperature equal to a target operating temperature, wherein the tunnel has an operating mode and a standby mode, wherein heat output during the standby mode is less than heat output during the operating mode, and wherein the standby mode is triggered by at least one of a time control and a signal control.