How to ask questions and write papers? Here we take the graduation thesis of aquaculture as an example.

As students majoring in aquaculture, the teacher asked us to write our graduation thesis. Please draw up a topic for my graduation thesis according to the current scientific and technological situation.

Topic: Research on aquaculture environment monitoring and optimization system based on intelligent Internet of Things technology.

In modern aquaculture, environmental monitoring and management play an important role in ensuring aquaculture quality and reducing costs. With the rapid development of Internet of Things technology and intelligent sensors, it is particularly important to use these technologies to monitor and optimize aquaculture environment.

This paper will focus on the following aspects:

1. Real-time monitoring and early warning of water quality parameters: by designing an intelligent multi-parameter monitoring system, water quality parameters (such as temperature, dissolved oxygen, pH value, etc.) will be monitored. ) real-time collection and early warning of potential risks through big data analysis.

2. Optimization of environmental control system: Combining various environmental sensors and Internet of Things technology, an automatic and intelligent environmental control system is developed to realize automatic control of temperature, humidity, light and other factors and optimize the breeding environment.

3. Intelligent feeding: Study how to make an accurate feeding plan according to the real-time monitored water quality and biological parameters to reduce feed waste and environmental pollution.

4. Application of energy-saving and environmental protection technologies: explore the use of new environmental protection materials and equipment, improve the energy utilization rate of farm facilities, reduce energy consumption and reduce environmental pollution.

5. System integration and remote monitoring: all monitoring and management functions are integrated into a set of aquaculture environment monitoring and optimization system to realize remote control and operation and improve work efficiency.

Through the research and design of the environmental monitoring and optimization system, we strive to bring technological innovation to aquaculture, improve the level of aquaculture, and make contributions to the realization of green, efficient and sustainable aquaculture development.

How many ideas can you provide for real-time monitoring and early warning of water quality parameters?

Of course. With regard to real-time monitoring and early warning of water quality parameters, the following are some suggestions:

1. Integrated water quality sensor: develop integrated transmission with real-time monitoring function of various water quality parameters.

Sensors (such as dissolved oxygen, temperature, pH, ammonia nitrogen, nitrite, etc. ), and in terms of nutrition.

So as to realize continuous monitoring of the culture environment.

2. Big data analysis and machine learning: collect a large number of historical and real-time aquaculture water quality data and apply big data.

Analysis and machine learning algorithm to establish water quality prediction and evaluation model. This helps to detect adverse events in advance.

Water quality change trend and potential danger, and realize early warning function.

3. Internet of Things communication technology: Through Internet of Things communication technology, the data collected by water quality sensors will be real-time.

To the cloud server. In this way, the water quality parameters can be viewed remotely and in real time. When the water quality is poor,

Take corresponding measures in time.

4. Visual monitoring platform: Develop a visual monitoring platform to display real-time monitoring data by charts or geography.

Information and other forms of display, to provide convenient and intuitive water quality information for aquaculture managers.

5. Intelligent early warning system: big data analysis and machine learning model based on monitoring data, aiming at water quality parameters.

Establish an intelligent early warning threshold. When the water quality parameter exceeds the preset threshold, the early warning system will send it out.

Call the police to prompt relevant personnel to deal with it in time.

6. Mobile application: Develop a mobile application so that farmers or supervisors can view it in real time on mobile devices.

Check water quality data and receive early warning notice to improve the convenience of water quality management.

7. Automatic control module: An automatic control module is designed by combining intelligent early warning system, such as water circulation system.

Aeration device and acid-base adjustment system, etc. When the water quality parameters are abnormal, the system can automatically adjust the phase.

Close the working state of the equipment to improve the aquaculture water environment.

Through the above ideas, combined with the existing technical means, real-time monitoring and early warning of water quality parameters can be realized, and the stability and safety of aquaculture environment can be guaranteed.

What are the innovations of integrated water quality sensor? If yes, please point out three points.

Integrated water quality sensor is innovative in aquaculture, mainly in the following three aspects:

1. Highly integrated: The integrated water quality sensor integrates the measurement of dissolved oxygen, temperature, pH value, ammonia nitrogen, nitrite and other water quality parameters in a single sensor device. This makes the sensor more compact and portable, and reduces the space and cost required for independent deployment and maintenance of multiple sensors.

2. High precision and real-time: The integrated water quality sensor adopts high-precision measurement technology, which improves the measurement accuracy of water quality parameters. Compared with the traditional periodic sampling or manual detection, the integrated sensor can continuously monitor the water quality in real time and capture the fluctuation or abnormality of water quality faster.

3. Integration with the Internet of Things: Combined with the Internet of Things communication technology, the integrated water quality sensor can upload the collected water quality parameters to the cloud platform in real time. This enables farmers or supervisors to remotely view and analyze water quality data anytime and anywhere, which improves the convenience of water environment monitoring and management. At the same time, through the Internet of Things technology, sensors can be connected to the intelligent breeding system to realize automatic control and early warning functions.

In a word, the innovation of integrated water quality sensor in aquaculture is mainly reflected in high integration, high detection accuracy and the application of Internet of Things, which is conducive to efficient and intelligent water quality monitoring and management.

Conclusion: Although Chat Gpt is advanced enough to publish papers, there are still many places to be improved. We should use AI intelligence flexibly instead of creating it mechanically or by combining our own ideas.