[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"site:en":3,"case:en:energy-telemetry-predictive-maintenance":109,"seo:en:\u002Fen\u002Fcase-studies\u002Fenergy-telemetry-predictive-maintenance":29},{"locale":4,"settings":5,"services":30,"hasBlog":38},"en",{"company":6,"contact":20,"social":24,"analytics":27,"seo":28},{"name":7,"legalName":7,"url":8,"nip":9,"krs":10,"address":11,"brand":16,"regon":17,"registryCourt":18,"shareCapital":19},"Softwaresystem sp. z o.o.","https:\u002F\u002Fsoftwaresystem.pl","7532454521","0000807293",{"street":12,"postalCode":13,"city":14,"country":15},"Obrońców Tobruku 5\u002F203A","48-300","Nysa","Polska","SoftwareSystem","","VIII Wydział Gospodarczy Krajowego Rejestru Sądowego w Opolu","5 000 zł (wniesiony w całości)",{"email":21,"phone":22,"meetingUrl":23,"hours":17},"kontakt@softwaresystem.pl","+48 726 456 455","https:\u002F\u002Fapp.simplymeet.me\u002Fsoftwaresystem",{"linkedin":25,"facebook":26,"github":17},"https:\u002F\u002Fpl.linkedin.com\u002Fcompany\u002Fsoftwaresystempl","https:\u002F\u002Fwww.facebook.com\u002Fsoftwaresystempl\u002F",{"gtmId":17},{"ogImage":29},null,[31,39,46,53,60,66,73,78,84,90,97,103],{"key":32,"slug":32,"slugs":33,"title":35,"excerpt":36,"icon":37,"featured":38},"web-apps",{"pl":34,"en":32},"aplikacje-webowe","Web apps","Internal panels, B2B portals and operational tools in the browser, built around your processes.","web",true,{"key":40,"slug":40,"slugs":41,"title":43,"excerpt":44,"icon":45,"featured":38},"custom-software",{"pl":42,"en":40},"dedykowane-oprogramowanie","Custom software","Software written for how your company works when ready-made tools fall short. You own the code.","code",{"key":47,"slug":47,"slugs":48,"title":50,"excerpt":51,"icon":52,"featured":38},"erp-crm-hrm",{"pl":49,"en":47},"systemy-erp-crm-hrm","ERP, CRM and HRM systems","Sales, stock, customers and HR in one system: a ready-made ERP (e.g. WAPRO) or custom modules.","systems",{"key":54,"slug":54,"slugs":55,"title":57,"excerpt":58,"icon":59,"featured":38},"websites",{"pl":56,"en":54},"strony-www","Company websites and web platforms","Fast company websites with a content panel, SEO and contact forms.","globe",{"key":61,"slug":61,"slugs":62,"title":64,"excerpt":65,"icon":61,"featured":38},"cloud",{"pl":63,"en":61},"chmura-i-infrastruktura","Cloud and infrastructure","Servers in the cloud or on premises, with backups, monitoring and predictable costs.",{"key":67,"slug":67,"slugs":68,"title":70,"excerpt":71,"icon":72,"featured":38},"server-admin",{"pl":69,"en":67},"administracja-serwerami","Server administration","Linux and Windows servers: updates, backups, monitoring, security and incident response.","server",{"key":74,"slug":74,"slugs":75,"title":76,"excerpt":77,"icon":74,"featured":38},"devops",{"pl":74,"en":74},"DevOps and CI\u002FCD","Automated builds, tests and deployments, with a quick rollback to the previous version.",{"key":79,"slug":79,"slugs":80,"title":82,"excerpt":83,"icon":79,"featured":38},"ai",{"pl":81,"en":79},"ai-dla-firm","AI for business","Language models for specific tasks: enquiries, documents, reports. With control over your data.",{"key":85,"slug":85,"slugs":86,"title":88,"excerpt":89,"icon":85,"featured":38},"automation",{"pl":87,"en":85},"automatyzacja-procesow","Process automation","Repetitive tasks turned into automatic workflows, usually in n8n.",{"key":91,"slug":91,"slugs":92,"title":94,"excerpt":95,"icon":96,"featured":38},"integrations",{"pl":93,"en":91},"integracje-api","API integrations","We connect ERP (e.g. WAPRO), KSeF, online shops, couriers, payments and CRM so data is not retyped.","api",{"key":98,"slug":98,"slugs":99,"title":101,"excerpt":102,"icon":98,"featured":38},"architecture",{"pl":100,"en":98},"architektura-oprogramowania","Software architecture","A plan for a system before coding, or a clean-up of one that grew without a plan.",{"key":104,"slug":104,"slugs":105,"title":107,"excerpt":108,"icon":104,"featured":38},"maintenance",{"pl":106,"en":104},"utrzymanie-systemow","Maintenance and development","Updates, backups, monitoring, fixes and new features after launch. We also take over other teams' systems.",{"item":110},{"key":111,"slug":112,"slugs":113,"title":115,"excerpt":116,"client":117,"industry":118,"year":29,"tags":119,"metrics":124,"cover":29,"visibility":134,"visibilityType":135,"featured":38,"problem":136,"result":137,"body":138,"seo":184,"related":186},"energy-telemetry","energy-telemetry-predictive-maintenance",{"pl":114,"en":112},"telemetria-i-predykcja-awarii","Telemetry and network failure prediction","Collection and analysis of district heating line telemetry, operational reports, and early failure detection models.","Client: district heating network operator, Poland (anonymous)","District heating",[120,121,122,123],"Telemetry","IoT","Analytics","Failure prediction",[125,128,131],{"label":126,"value":127},"District heating line data collection","24\u002F7",{"label":129,"value":130},"Measurement points in the network","100+",{"label":132,"value":133},"Reports and alerts dashboard","1","Anonymous","anonymous","Sensor data landed in separate tools – no unified view of district heating line status.","Operators see anomalies before customers report problems.",{"title":139,"description":140,"ogTitle":141,"ogDescription":142,"industry":118,"heroTitle":143,"heroLead":144,"clientLabel":117,"visibilityLabel":145,"challenge":146,"solution":157,"results":169,"visibilityType":135,"technologies":183},"Heating network telemetry – case study","Telemetry platform for a district heating operator: data aggregation, reports, and line failure prediction.","Telemetry and failure prediction – SoftwareSystem","Case study: district heating line telemetry, operational reports, and early failure detection.","Network data before a failure hits","A heating operator with scattered measurement points – reactive failure handling instead of early telemetry signals.","Anonymous project (NDA)",{"badge":147,"title":148,"lead":136,"paragraphs":149,"bullets":153},"Challenge","Telemetry in many systems, failures detected too late",[150,151,152],"No central telemetry collection from lines – operators reacted only after customer failure reports.","Operational reports required manual data export from multiple sources.","No early warning model for failures on critical network segments.",[154,155,156],"Scattered measurement data sources","Manual weekly reports","Reactive failure handling",{"badge":158,"title":159,"lead":160,"paragraphs":161,"bullets":164},"Solution","Telemetry platform with prediction module","IoT data aggregation, network state visualization, and trend-based alerts.",[162,163],"We deployed a layer collecting telemetry from measurement points on heating lines – temperature, pressure, flow. Data goes to a central database with historical retention.","The operations panel shows network status near real time. The prediction module analyzes deviations from baseline and generates alerts before full failure escalation.",[165,166,167,168],"Telemetry aggregation from multiple measurement points","Operational and historical reports","Predictive alerts on network lines","24\u002F7 network status dashboard",{"badge":170,"title":171,"lead":137,"paragraphs":172,"bullets":175,"metrics":179},"Outcome","Earlier response and a unified network view",[173,174],"The operations team has one panel instead of logging into several sensor vendor systems.","Predictive alerts enable planned service interventions before a network segment goes fully offline.",[176,177,178],"Central telemetry across the network","Automatic operational reports","Earlier anomaly detection",[180,181,182],{"label":126,"value":127},{"label":129,"value":130},{"label":132,"value":133},[120,121,122,123],{"title":139,"description":140,"ogTitle":141,"ogDescription":142,"ogImage":29,"noindex":185},false,[187,211,234],{"key":188,"slug":188,"slugs":189,"title":191,"excerpt":192,"client":193,"industry":194,"year":29,"tags":195,"metrics":200,"cover":29,"visibility":134,"visibilityType":135,"featured":38,"problem":209,"result":210},"erp-window-joinery",{"pl":190,"en":188},"erp-stolarka-okienna","ERP system for a window manufacturer","B2B portal: orders, contract preview, transport packages, lead-time forecasts, shipping claims, and shipment tracking.","Client: window joinery manufacturer, Poland (anonymous)","Window joinery",[196,197,198,199],"ERP","B2B portal","PostgreSQL","Shipping integrations",[201,204,207],{"label":202,"value":203},"Order, contract, and package view","360°",{"label":205,"value":206},"Shipment status monitoring","Live",{"label":208,"value":133},"Portal for the B2B partner network","Sales, production, and logistics used separate systems – end customers had no transparent status view.","One access point instead of calls and emails about order status.",{"key":212,"slug":213,"slugs":214,"title":216,"excerpt":217,"client":218,"industry":219,"year":29,"tags":220,"metrics":224,"cover":29,"visibility":134,"visibilityType":135,"featured":38,"problem":232,"result":233},"transport-routes-docs","transport-routes-shipping-docs",{"pl":215,"en":213},"analiza-tras-dokumenty-spedycyjne","Route analysis and international shipping docs","Route optimization, international shipping document generation, and fleet fuel consumption monitoring.","Client: transport company, Central Europe (anonymous)","Transport and freight",[221,222,198,223],"Route analysis","Shipping documents","Maps",[225,228,230],{"label":226,"value":227},"International shipment handling","Multi-country",{"label":229,"value":133},"Unified shipping document system",{"label":231,"value":127},"Route and fuel analysis access","Dispatchers and drivers worked on spreadsheets and Word templates – every international shipment was a separate process.","Dispatchers plan routes in the system, documents are generated automatically.",{"key":235,"slug":236,"slugs":237,"title":239,"excerpt":240,"client":241,"industry":242,"year":29,"tags":243,"metrics":247,"cover":29,"visibility":134,"visibilityType":135,"featured":185,"problem":255,"result":256},"energy-crm","energy-sector-crm",{"pl":238,"en":236},"crm-branza-energetyczna","CRM for the energy industry","CRM tailored to energy sales cycles: leads, quotes, contracts, after-sales support, and management reports.","Client: energy sector company, Poland (anonymous)","Energy sector",[244,245,198,246],"CRM","B2B sales","Automation",[248,250,252],{"label":249,"value":133},"CRM for the entire sales organization",{"label":251,"value":203},"Customer and contract view",{"label":253,"value":254},"Sales, back-office, service","Multi-team","Sales, back-office, and service used different tools – hard to track quote and contract status.","Sales reps work in one CRM instead of connecting emails and spreadsheets."]