Large-scale aquaculture management system / HG40-XM Large-scale aquaculture management system

System Description

Our company's independently developed HG40-XM large-scale aquaculture management system comprehensively utilizes new technologies such as optoelectronic technology, Internet of Things technology, and RFID electronic tags to achieve all-round monitoring of the aquaculture process, complete the collection and management of key information throughout the animal growth process, and play a positive role in ensuring national food safety.

Standard Configuration

1. HG40-XM host computer control software

2. Automatic sorting control system

3. Automatic feeding control system (electronic feeding trough)

4. Automatic exit door control system

5. Environmental online monitoring system

6. Automatic feeding control system

7. Online body temperature detection system

Functional Description

1. Control of breeding environment: temperature, humidity, air index, light, etc.;

2. Animal health indicators: activity index, body temperature, estrus, etc.;

3. Disease prevention and control: vaccination, disease diagnosis and prediction, disinfection plan, elimination of pathogen-carrying organisms, delivery of health-care drugs and targeted nutrients, etc.;

4. Precise feeding control: Provide recommended feeding amount (automatic feeding), A/B feed, drinking water quantity, and temperature control according to the needs of animals at different stages (or weight);

5. According to the age of pigs, the feed formula can be adjusted;

6. Profit level control: feed formula, feeding amount, and slaughter weight;

productFeatures

1. By testing the body condition of pigs, targeted feeding amounts can be formulated in real time. This is particularly important for sow feeding, is the difficulty of the current sow feeding model, and is the key to achieving optimal sow production performance;

2. By measuring the inflection point of body weight and adjusting A/B feed, accurate feeding of growing pigs can be achieved, saving feed costs for pig farms;

3. Through dynamic monitoring of animal behavior and health indicators, targeted plans can be made for disease early warning;

4. Realize intelligent control of the breeding environment through monitoring hardware;

5. Provide real-time guidance for breeders to establish animal epidemic prevention and breeding;

6. By analyzing the collected big data, we can formulate precise nutrition and feeding modes for animals, provide a basis for maximizing breeding benefits, and the large amount of data generated can provide professional technical services for feed companies.

7. Establish a data sharing platform to allow feed R&D and production companies to participate in data sharing, including raw material data and breeding test data;

8. By establishing a database platform, a large amount of data support can be provided for scientific research. (For example: animal birth, feed feeding, disease conditions, growth conditions, etc.), the testing center classifies, screens and comprehensively analyzes the data, has the functions of farm allocation, animal electronic tag allocation, data storage, display, recording, printing, statistics, and realizes networking with the health bureau and management center of the region.