wMPS Transmitter Data Synchronization via Local Clock Attachment
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Solution Overview
Problem
In dynamic measurement processes, the data asynchronism between multiple transmitters in the workshop Measuring and Positioning System (wMPS) leads to measurement errors due to the movement of the receiver, as the light signals from different transmitters reach the receiver at different times, causing intersection errors.
Innovation Solution
The method involves attaching local clock information to the angle information of each transmitter in the signal processor's communication data packets and setting fixed time nodes on the time axis to synchronize data from different transmitters, ensuring that all data is aligned to the same moment, thereby reducing measurement errors and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple transmitters are used to extend measurement range, then measurement coverage is improved, but data asynchronism between transmitters causes measurement errors in dynamic scenarios
Solution Approach 1:
The patent introduces a central server as an intermediary to receive timing information from all transmitters and calculate synchronized measurement data. The server acts as a mediator that consolidates asynchronous data from multiple transmitters and performs centralized coordinate calculations, resolving the timing synchronization problem without requiring complex coordination between transmitters themselves.
Solution Approach 2:
The system implements feedback mechanisms where transmitters send timing information to the server, which then uses this feedback to calculate precise measurement coordinates. The server continuously receives timing data and adjusts calculations to account for asynchronism, creating a closed-loop system that compensates for timing differences between multiple transmitters.
2Ease of operation
If local crystal oscillator timing is used in each signal processor, then autonomous timing measurement is achieved, but data asynchronism occurs between multiple transmitters
Solution Approach 1:
The patent merges the autonomous timing capabilities of individual transmitters with centralized server coordination. Each transmitter independently records timing information using its local crystal oscillator, then all timing data is combined at the server where synchronized measurements are calculated. This combines the advantages of autonomous operation with centralized synchronization.
Solution Approach 2:
The server acts as an intermediary that collects timing information from multiple transmitters with independent crystal oscillators and performs synchronized coordinate calculations. Rather than requiring transmitters to synchronize their oscillators directly, the server mediates the timing data and calculates measurements that account for the inherent asynchronism between independent timing sources.
3Adaptability or versatility
If transmitters operate with different rotation speeds for identification, then transmitter differentiation is achieved, but data asynchronism results in different timing standards for angle measurement
Solution Approach 1:
The system uses feedback from timing information sent by each transmitter to the server. The server receives timing data that includes information about transmitter rotation speeds and uses this feedback to calculate angle measurements at synchronized time nodes. This allows transmitters to operate at different speeds for identification while maintaining measurement synchronization through centralized calculation.
Solution Approach 2:
The patent changes the approach from requiring synchronized operation to accepting parameter differences (different rotation speeds) as identifiable characteristics. The server adapts its calculations to account for these parameter changes, using timing information from each transmitter to calculate measurements that are synchronized to a common reference frame despite the different operational parameters of individual transmitters.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach effectively reduces measurement errors caused by data asynchronism, enhancing the system's ability to perform real-time, high-accuracy dynamic coordinate measurements and expanding its application range to include dynamic scenarios.
Implementation Method 1
Each of the transmitters emits two laser planes which rotate about an axis of rotation at a constant speed
Implementation Method 2
The receiver receives light signals from the transmitter, converts the light signals into electrical signals
Implementation Method 3
The signal processor performs timing measurement on the light signals transmitted by the transmitters by using internal crystal oscillator as time standard for clock timing
Data Source
AI summary
The present invention discloses a synchronization method for multi-station data of dynamic coordinate measurement by a workshop measuring and positioning network. The method comprises the following steps of: determining a measuring and positioning space according to the in-situ measurement dimension, selecting locations for placing several transmitters, calibrating external parameters of the transmitters by a reference ruler, and establishing a measurement field; in a communication data packet of a signal processor, attaching local clock information into the angle information of each transmitter; and setting fixed time nodes on a time axis, and synchronizing data of different transmitters to corresponding time nodes so as to realize data synchronization. The present invention improves the conventional static measurement function of the wMPS to a certain dynamic measurement function for expanding the application ranges of the wMPS, and provides a technical support for realization of real-time, high-accuracy and large-scale in-situ industrial coordinate measurement based on wMPS.