Adiabatic energy-saving data acquisition and analysis system and method based on big data
A technology of data acquisition and analysis and big data, which is applied in the field of adiabatic energy-saving data acquisition and analysis system, which can solve the problems that relevant personnel cannot better grasp the production status of adiabatic engineering, real-time data cannot be visualized, and a big data analysis platform cannot be formed. , to achieve the effect of realizing customized production, improving enterprise efficiency, saving energy and reducing emissions
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Embodiment 1
[0058] Embodiment one, as Figure 1-3 As shown, a large data-based adiabatic energy-saving data collection and analysis system includes a cloud platform 1, and also includes an order module 2, a production module 3 and a data module 4 that are respectively connected to the cloud platform;
[0059] The cloud platform 1 is used to control and manage the work of the order module 2, the production module 3 and the data module 4;
[0060] The order module 2 is used to receive the customer's order, and process the order, match the factory according to the order processing result and distribute the order;
[0061] The production module 3 is used to enable the factory to perform automatic production according to the assigned order;
[0062] The data module 4 is used to process the real-time data of the factory in the automated production process, and feed back the processing results to the cloud platform;
[0063] The real-time data includes adiabatic energy-saving data, production ...
Embodiment 2
[0121] Embodiment two, such as Figure 4 as shown, Figure 4 It is a schematic flowchart of a method for collecting and analyzing adiabatic energy-saving data based on big data in this embodiment.
[0122] A method for collecting and analyzing adiabatic and energy-saving data based on big data, which adopts a system for collecting and analyzing adiabatic and energy-saving data based on big data in the present invention for data collection and analysis, including the following steps:
[0123] S1: The order module receives the customer's order, processes the order, matches the factory according to the order processing result and distributes the order;
[0124] S2: The production module enables the factory to perform automatic production according to the dispatched order;
[0125] S3: the data module processes the real-time data of the factory in the automated production process, and feeds back the processing results to the cloud platform;
[0126] Wherein, the real-time data ...
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