Bacterial Culture Supervision with Dynamic Feedback Control
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Solution Overview
Problem
Traditional bacterial culture systems lack automation, leading to tedious manual operations, instability in culture environments, and significant deviations in pharmacokinetic/pharmacodynamic (PK/PD) study data due to static culture conditions.
Innovation Solution
An intelligent supervision system for bacterial culture equipment utilizing big data, featuring a host computer unit, central control unit, and execution units like culture solution path, filtering, and sampling units, with sensors for real-time monitoring and automated control of temperature, gas concentration, and culture medium updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operations are used in traditional bacterial culture systems, then the system structure remains simple, but the operation process becomes tedious and time-consuming
Solution Approach 1:
The system enables automated self-service operations through the central control unit coordinating execution units. The culture solution path unit automatically transports solutions, the filtering unit autonomously filters culture media, and the sampling unit performs automatic sampling, eliminating tedious manual operations while maintaining manageable system complexity through modular design
Solution Approach 2:
Manual mechanical operations are replaced by an automated control system. The host computer unit and central control unit substitute human operators, using electronic control signals to drive execution units instead of manual mechanical manipulation, thereby improving ease of operation while introducing controlled complexity
2Stability of the object's composition
If static culture conditions are maintained in traditional systems, then the system operation is simple, but the culture environment stability deteriorates
Solution Approach 1:
The system transitions from static to dynamic culture conditions. The central control unit dynamically adjusts culture parameters by coordinating the culture solution path unit to replenish media, the filtering unit to maintain composition, and the sampling unit to monitor conditions, ensuring culture environment stability through continuous adaptive control
Solution Approach 2:
The system implements feedback control mechanisms where the host computer unit and central control unit continuously monitor culture conditions and adjust operations accordingly. The sampling unit provides data feedback, and the control units respond by adjusting solution path operations and filtering parameters to maintain stable culture environments
3Measurement precision
If manual PK/PD study operations are performed, then the implementation process is simple to understand, but significant deviations occur in study data
Solution Approach 1:
The automated system performs PK/PD studies with high precision through self-service operations. The sampling unit automatically collects culture samples at precise intervals, the filtering unit maintains consistent culture conditions, and the control units coordinate measurements, eliminating human error and achieving accurate PK/PD data without requiring complex manual procedures
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
The system provides high automation, dynamic culture environment stability, reducing PK/PD study data deviations, and enabling simulation of various medication regimens' effects on bacteria, offering a reliable reference for clinical medication.
Implementation Method 1
temperature control is implemented through Peltier
Implementation Method 2
An electromagnet is arranged at a bottom of the culture bottle to drive the magnetic stirrer to rotate
Implementation Method 3
recycled solution flows into a waste solution tank through a peristaltic pump
Data Source
AI summary
An intelligent supervision system and method for bacterial culture equipment based on big data are provided, which relate to the technical field of bacterial culture. The system includes a host computer unit and a central control unit. The host computer unit is configured to generate and issue a control instruction. The central control unit is configured to: receive the control instruction issued by the host computer unit, control an execution unit to complete each control instruction, receive a feedback of a sensor bound to the execution unit, generate operating state data corresponding to the execution unit, and feed the operating state data back to the host computer unit. The system is convenient to operate, has high degree of automation, and can provide convenience for users.