[{"data":1,"prerenderedAt":120},["ShallowReactive",2],{"project:\u002Fprojects\u002Fthermal-process-control":3,"projects-nav":110},{"id":4,"title":5,"body":6,"code":86,"description":80,"extension":87,"layers":88,"link":92,"meta":93,"navigation":94,"order":89,"path":95,"role":96,"seo":97,"sitemap":98,"stack":99,"stem":106,"summary":107,"year":108,"__hash__":109},"projects\u002Fprojects\u002Fthermal-process-control.md","Industrial thermal process control",{"type":7,"value":8,"toc":79},"minimark",[9,14,18,21,25,69,73,76],[10,11,13],"h2",{"id":12},"context","Context",[15,16,17],"p",{},"The process required precise control over multiple heating zones and continuous visibility into how temperature evolved during production.",[15,19,20],{},"Operators needed more than heater setpoints: they needed to understand the actual thermal behaviour of the machine, compare production cycles, inspect temperature distribution and identify anomalies without switching between separate diagnostic tools.",[10,22,24],{"id":23},"what-i-built","What I built",[26,27,28,36,42,51,60],"ul",{},[29,30,31,35],"li",{},[32,33,34],"strong",{},"Heating control",": configuration and monitoring of multiple heating zones, with real-time setpoints, measured values and process state.",[29,37,38,41],{},[32,39,40],{},"Real-time telemetry",": acquisition of machine and sensor data through MQTT, with WebSocket streaming to the HMI for live trends and process visualization.",[29,43,44,47,50],{},[32,45,46],{},"Dashboards",[48,49],"interactive",{}," charts for temperatures, heating behaviour, process variables and machine status, covering both live operation and diagnostics.",[29,52,53,56,59],{},[32,54,55],{},"Historical analysis",[57,58],"sql-backed",{}," storage and visualization of production data, allowing previous cycles to be inspected and process behaviour compared over time.",[29,61,62,65,68],{},[32,63,64],{},"Energy reconstruction",[66,67],"integration",{}," of machine and sensor signals with a custom numerical algorithm to reconstruct energy consumption from sampled process data.",[10,70,72],{"id":71},"outcome","Outcome",[15,74,75],{},"A single operational view of the thermal process, connecting heater configuration, sensor data, thermal behaviour and energy consumption.",[15,77,78],{},"Operators could move from seeing that a process was behaving differently to understanding where, when and how it changed, using the same interface during production and post-process analysis.",{"title":80,"searchDepth":81,"depth":81,"links":82},"",2,[83,84,85],{"id":12,"depth":81,"text":13},{"id":23,"depth":81,"text":24},{"id":71,"depth":81,"text":72},"PRJ-001","md",[89,90,91],1,3,4,null,{},true,"\u002Fprojects\u002Fthermal-process-control","Lead engineer, from sensor integration to operator interface",{"title":5,"description":80},{"loc":95},[100,101,102,103,104,105],"C#",".NET","SQL","Vue","Signal processing","Web dashboard","projects\u002Fthermal-process-control","Real-time heating control and process monitoring for industrial machinery, combining machine data, thermal imaging and energy analysis in a single HMI.",2026,"IIJlclYt616eOKZr9UFMH9rFYLREyIV1lOC2mm47Lvw",[111,112,116],{"path":95,"code":86,"title":5},{"path":113,"code":114,"title":115},"\u002Fprojects\u002Fsecure-access-platform","PRJ-002","Secure access platform",{"path":117,"code":118,"title":119},"\u002Fprojects\u002Ftraining-management-platform","PRJ-003","Training management platform",1791651091122]