The OPTIMIZER

The OPTIMIZER darbina ar rhobot.ai

rhobot.ai nodrošina papildu vietējo AI/ML rīku komplektu, lai sakārtotu datus, optimizētu procesus un labāk automatizētu mašīnas, procesus un iekārtas, lai palielinātu ienesīgumu, kvalitāti, darbības laiku, efektivitāti un vispārējo veiktspēju.<br/><br/>Ja esat dati gatavi AI, mūsu risinājumi darbojas dienās, nevis mēnešos. Ja neesat gatavs datiem, mēs varam jūs tur nogādāt un īstenot AI/ML nepārtrauktu uzlabojumu procesu, izmantojot revidējamu ierakstu sistēmu, kas aizsargā jūsu sensitīvos datus jūsu vietnē bez mākoņa vai trešās puses ekspozīcijas, lai aizsargātu jūsu konkurences priekšrocības.

Atklājiet rhobot.ai

Kāpēc AI/ML optimization of all aspects of your complex operation.?

The power of artificial intelligence flows from probabilistic (not deterministic/engineering) approaches. The OPTIMIZER speaks the language of your complex, real-world facility. It ingests the noisy, complex data from your plant floor and creates the ability for you to predict how changes to your process input and process parameters will change your results – for yield, quality, uptime, efficiency – and economic performance. Imagine any process with just small number of physical inputs (recipes) and control parameters (PLC set points). Seeking to tune each of these up or down in 1% increments can rapidly get you to thousands of possible combinations – impossible to test. The OPTIMIZER delivers the answers.

Priekšrocības

Process optimization for yield, quality, uptime, throughput, efficiency - and bottom line economic performance.
New intellectual property and competitive advantage. When you engage in continuous improvement with AI/ML, you will learn new things about input combination and process settings - increasing your competitive advantage with new IP.

Piedāvātās iespējas

Multi-model analytics and meta data analysis using real-plant data.

These probabilistic approaches outperform engineering simulations and idealized, deterministic evaluations. Our solution enables the use of real-world, noisy data and finds to find the best predictive fit - and as the predictive fit changes over time.

An auditable history of ML for your machines, processes and facilities.

As physical equipment and process conditional change or drift over time, you need a continuous and addable approach to constantly optimize. The history for how that occurs is important knowledge for your operational team and is a new data set that can yield valuable insights to your business.