Measurement Workflow

From device preparation to result retention, show the full measurement path in public language.

This page explains preparation, normalization, signal recognition and record retention without exposing patient screenshots, treatment records or private identities.

Measured Flow Realtime Protocol
步骤 4

把准备、采集、识别与留存整理成更易理解的流程分镜。

提示 3

把异常提示、重测规则与下载说明放到显性位置,减少理解成本。

Workflow Steps

Every public step corresponds to an actual measurement action inside the clinical system.

围绕临床现场的使用节奏组织流程卡片,让准备、采集、识别与留存形成一条清晰路径。

Connect Ready 先确认设备连接与工作状态,避免流程一开始就中断。
Baseline Stable 把基线采集单独立起来,形成可信的数据起点。
Realtime Loop 扫频、换算与同步形成连续闭环,而不是孤立步骤。
1

Connect the NWT Device

Use the Android tablet and OTG to complete serial detection, permission prompts and device handshake so the on-site hardware chain is verified before measurement.

2

Run Normalization

Capture the empty-load Normalize baseline first, then compare and correct later live sweeps against that baseline to stabilize the measurement origin.

3

Sweep Live and Locate the Valley

Collect spectrum curves continuously at a fixed step size, display the S-parameter trace in real time and automatically identify the resonance valley.

4

Convert Force and Sync Records

Convert resonance frequency into orthodontic force with the six-parameter sensor model, save locally first and then synchronize to Django on demand.

Protocol Layer

Translate the measurement chain into readable functional blocks

The public site does not expose clinical data. It explains preparation, collection, recognition and calculation as understandable workflow modules.

协议层不再只是说明文字,而是流程、波形和规则的可视化组合。
后续可直接替换为扫频曲线、谷值定位或设备通讯示意素材。
Protocol to Interface 把准备、识别与结果呈现组织成同一块视觉容器,让流程理解更完整。

Handshake

Device handshake confirmation

Confirm the NWT device is ready before the rest of the measurement chain begins.

Sweep

Sweep-data reading

The system reads sweep data in a fixed byte structure so later recognition starts from stable input.

Normalize

Normalization baseline processing

Baseline acquisition and delta processing provide a more stable reference for later spectrum recognition.

Force Model

Force calculation model

Resonance frequency and calibration parameters are linked so signal recognition flows into readable force interpretation.

Safety & Boundary

Keep warnings, download guidance and support boundaries visible

A public workflow page should explain not only steps, but also when to recheck connection, redo baseline capture or return to support entry points.

Boundary

The workflow page shows public logic, not private data

This page explains preparation, normalization, sweep recognition and record retention without exposing any real patient or treatment records.

Warning

Warnings must remain visible

Connection interruption, verification failure or abnormal results should always trigger visible guidance for field users.

Support

Public workflow and business system stay separated

Download, FAQ and contact support belong to the public layer, while business processing remains inside authorized terminals and controlled systems.