Automation Task Inference for Atomic Operation Accuracy
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Solution Overview
Problem
Existing automation systems face challenges due to diverse device types and models, leading to inconsistent requirements and potential errors or collisions during transfer operations, such as well plate orientation mismatches, which can result in execution deviations and system failures.
Innovation Solution
A control method that performs task inference on operation instructions to decompose them into atomic operations, determining necessary adjustments and execution parameters, ensuring smooth and accurate execution by comparing start and destination positions and orientations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If automation systems use diverse device types and models to expand automation scope, then automation capability and versatility are improved, but device compatibility and execution accuracy deteriorate due to inconsistent requirements
Solution Approach 1:
The system performs task inference to obtain execution parameters for atomic operations, transforming high-level task instructions into device-specific parameter sets. This allows the same task to be executed accurately across diverse devices by adapting parameters to each device's specific requirements, resolving the contradiction between versatility and execution accuracy.
Solution Approach 2:
The automation process is decomposed into multiple atomic operations, each with specific execution parameters. By segmenting the overall task into discrete atomic operations, the system can independently configure and verify parameters for each operation, ensuring compatibility across different device types while maintaining overall task accuracy.
2Device complexity
If automation systems ignore device-specific requirements during configuration, then configuration complexity is reduced, but execution reliability deteriorates due to positioning and orientation errors
Solution Approach 1:
The system performs task inference in advance to determine execution parameters for all atomic operations before actual execution. This preliminary action includes analyzing device-specific requirements and pre-configuring appropriate parameters, thereby avoiding execution errors while maintaining relatively simple configuration processes.
Solution Approach 2:
The task inference mechanism effectively feeds back device-specific requirements into the parameter configuration process. By analyzing the characteristics of involved devices and automatically adjusting execution parameters accordingly, the system ensures reliable execution without requiring manual configuration of complex device-specific settings.
3Productivity
If task operations use simplified parameter sets, then operation speed is improved, but execution precision deteriorates due to insufficient position and orientation adjustments
Solution Approach 1:
The system dynamically adjusts execution parameters based on the specific requirements of each atomic operation and the involved devices. Rather than using fixed simplified parameters, the task inference mechanism determines appropriate parameters in real-time, enabling both fast execution and high precision by adapting parameters to each operation's specific needs.
Data Source
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AI summary
Provided are a control method and apparatus for an automation process, an electronic device, and a storage medium. The control method for the automation process comprises: acquiring a task operation instruction in the automation process (S110); performing task deduction on a corresponding task operation according to parameters in the task operation instruction to obtain a task deduction result, wherein the task deduction result comprises execution parameters of a plurality of atomic operations in the task operation (S120); and according to the task deduction result, determining whether to execute the task operation (S130). According to the control method for the automation process, before the task operation instruction is executed, task deduction can be performed on the task operation instruction firstly, the task operation is then executed according to the task deduction result, and a complex task operation is split into a plurality of simple atomic operations according to the task deduction, such that the automation process is clearer.