Robot Sensor Data Serialization for Low-Latency Simplex Transmission
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing serial bus technologies for transmitting sensor data in robots suffer from significant delay times, increased hardware and software costs, and enlarged circuit scales due to the need for temporal synchronization and analog-to-digital and digital-to-analog conversions, especially as the number of sensors increases.
Innovation Solution
A transmission system that serializes data based on sensor signals using simplex communication, where a transmission device converts analog signals to digital and serializes them for transmission, and a receiving device deserializes the data, eliminating the need for packet communication and bus control circuits, thereby reducing delay and hardware costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If serial bus communication is used for transmitting sensor data, then data transmission capability is provided, but delay time in transmission becomes large
Solution Approach 1:
The patent extracts and eliminates the packet communication protocol layer from the transmission system. By using direct serialized transmission without packet formatting, addressing, or protocol overhead, the system removes the time-consuming processing steps inherent in traditional serial bus communication, thereby significantly reducing transmission delay while maintaining data transmission capability.
Solution Approach 2:
The patent implements continuous serialized transmission of sensor data without the start-stop nature of packet communication. Data is transmitted as a continuous stream of serialized values, eliminating the idle time and processing interruptions between packets, thus maintaining continuous useful action and reducing overall transmission delay.
2Reliability
If packet communication is performed for sensor data transmission, then data integrity is ensured, but hardware cost and software cost increase
Solution Approach 1:
The patent removes the complex packet communication protocol stack, including protocol interpretation, packet assembly/disassembly, and error handling software layers. This extraction eliminates the need for expensive communication controllers and associated software, reducing both hardware and software costs while maintaining sufficient data transmission reliability for sensor data.
Solution Approach 2:
The patent uses simple, inexpensive serialized transmission instead of complex packet communication infrastructure. The transmission method relies on basic digital signaling without requiring expensive communication controllers, protocol processors, or complex software stacks, thereby achieving cost-effective data transmission.
3Adaptability or versatility
If analog-to-digital conversion and digital-to-analog conversion are performed in transmission and receiving devices, then analog sensor signals can be transmitted, but delay time increases and circuit scale enlarges
Solution Approach 1:
The patent extracts and eliminates the analog-to-digital conversion (ADC) and digital-to-analog conversion (DAC) stages from the transmission path. By using digital sensors that output data directly in serial format, the system removes the bulky ADC/DAC circuits and their associated timing control logic, significantly reducing circuit scale and transmission delay while maintaining the ability to transmit sensor data.
Solution Approach 2:
The patent replaces the analog signal processing chain (analog sensor → ADC → digital transmission → DAC → analog output) with a direct digital serialization approach. Digital sensors output data that is immediately serialized and transmitted, substituting the mechanical/analog conversion processes with purely digital operations, thereby reducing circuit complexity and delay.
4Measurement precision
If the number of sensors is increased for better measurement capability, then measurement precision improves, but delay time in transmission increases
Solution Approach 1:
The patent implements continuous serialized transmission that can handle multiple sensor channels without the sequential packet-by-packet processing delays. Data from multiple sensors is serialized and transmitted in a continuous stream, allowing the system to maintain low delay even as the number of sensors increases, thus preserving measurement precision without the penalty of increased transmission time.
Data Source
AI summary
There is provided a transmission device configured to serialize data of a change amount that is based on a signal acquired from a sensor, and transmit the data by simplex communication.