Aquaculture industry is very strict in environmental data requirements and sensitivity, and it needs to pay attention to all kinds of data at all times. With the development of industrial Internet, Internet of Things, cloud computing and other technologies, aquaculture industry can grasp and track the equipment data in real time by adopting these technologies, which greatly improve the efficiency of aquaculture production, management, service, while accelerating the upgrading and transformation of the entire industrial chain.
Project Background
Generally, some large aquaculture enterprise is scattered in many fishing grounds throughout whole country, each fishing ground has one or more aquaculture equipment (controlled by PLC). However, the existing equipment can not upload status information in time and return it to the service center of the enterprise, resulting in poor controllability of the production process; water quality information can not be updated in real time, resulting in increased production costs; equipment can not be controlled remotely, resulting in high labor costs. Customers want to establish a real-time monitoring system, which can upload real-time information on the spot and grasp the situation on the spot in time.
At this time, depending on the application of iOT technology, one of our customers designed an intelligent monitoring system for aquaculture.
The whole system is based on IoT Industrial Internet Enabling Platform. It connects the PLC of aquaculture plant through edge controller, transfers the real site data to each local IoT Hub. Server by WIFI or 4G mode, and finally uploads the data to the IoT Hub Industrial Internet Enabling Platform for aggregation.
Characteristics of IoT Hub Industrial Internet Enabling Platform:
●Providing powerful data storage capability
●Providing abundant service functions
●Providing flexible deployment
●Providing effective data security
Edge Controller Features:
●Fast access of equipment
●Fast data analysis
●Fast upload of results
Function features:
●Remote control: remote control of key devices through mobile phones and tablets requires specific privileges.
●Timing trigger: It can control the equipment work through the management system, and it needs specific permissions.
●Real-time monitoring and alarm: real-time monitoring of key data, when the value of parameters reaches the dangerous value, the system sends short message prompts to managers.
●History Record/Report Form: It can record and store the opening time of equipment automatically in real time, calculate the electricity expenditure intelligently, estimate the quantity of feeding, and save data to help users manage fishing grounds.
●Fishpond optimization, data integration, map monitoring and other functions.
Industrial monitors or industrial tablet PCs play an important role in this system, based on their reliable performance in all-weather conditions, 7/24, 365 days long-time running without interruption. Providing real-time data to IoT Hub and monitoring the whole aquaculture system's running status.
Project highlights
With the solution of IoT Hub Industrial Internet Enabling Platform, the company's headquarters can monitor the production of fish ponds in real time and remotely through this system. Technicians or aquaculture managers can control aquaculture automation control equipment through mobile phones, computers and various mobile terminal devices, reducing much labor cost. Monitoring and testing data can be uploaded to company headquarters in real time.
Besides, it has the following lights:
●Reduce power consumption by more than 30%, increase oxygen on demand, avoid ineffective oxygen increasing, save electricity and prolong the service life of aerator.
●Reduce the workload by more than 40%, remote control, automatic control, reduce labor intensity, reduce the number of fish pond managers, increase the per capita management area.
●According to the water quality parameters, users can accurately control the amount of bait, improve the conversion rate of bait and reduce the cost of bait.
●Timely detection of abnormal situations, warning in advance, reduce property losses.
●By collecting data from different regions, the company provides favorable support for new product development and previous product maintenance.
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