Engineering knowledge base
Selection guides, integration checklists and application methods written for engineers, product teams, distributors and water professionals.
Insight library
13 articles · Page 2 / 3
A ready-to-use sales education framework for channel teams, helping dealers avoid exaggerating safety promises, and instead emphasize comparison, trends, and application boundaries to scientifically convey the value of multi-parameter water quality screening.
Read Article →From water purifiers to smart water dispensers, water quality detection has become a standard feature in white goods. This article uses AtomBit's conductivity/TDS detection chip as an example, deeply comparing the engineering differences between self-developed discrete solutions and dedicated ASIC paths, analyzing how chip-based solutions reduce development difficulty, shorten cycles, improve reliability, and providing a complete engineer decision guide covering selection, implementation, and verification.
Read Article →From the standpoint of professional testing institutions and experts, this article thoroughly examines the correlation between household drinking water turbidity and chlorine disinfection by-products, analyses how the Water Detective 4 portable multi-spectral water quality tester can assist users in daily turbidity screening, early detection of potential health risks, and proposes scientific approaches to household water quality management.
Read Article →Establish a complete quality control loop for online water sensors—from installation and inspection to data review—covering optical window fouling, bubbles, deposits, model drift, and field verification.
Read Article →For water purifiers, dispensers, pet water fountains, and smart bathrooms, explains how to select TDS/conductivity ASICs, design probes, implement temperature compensation, anti-polarization, calibration, and mass production testing.
Read Article →Compare reagent-free multispectral sensors, wet chemistry online analyzers, and lab testing on data density, consumables, maintenance, selectivity, and evidence level. Propose a hybrid monitoring architecture.
Read Article →Start a project
Share the application, target parameters, installation space, interface and estimated quantity. Our team will recommend a product or customization route.