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

Pending Publication Date: 2019-04-19
SHENZHEN AEROGEL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the analysis of thermal insulation and energy saving data in thermal insulation projects usually adopts a phased and mutually independent data analysis method, which belongs to the offline and isolated data analysis method. The current data analysis method has the following disadvantages: 1. Lack of Communication, so that it is impossible to form a real-time, interconnected and big data analysis platform to maximize production efficiency; 2. When the insulation project is in progress, when the actual production index deviates from the expected production index, or the production equipment is abnormal, it cannot Timely alarm, unable to carry out customized production; 3. Real-time data cannot be visualized, and relevant personnel cannot better grasp the production status of the insulation project

Method used

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  • Adiabatic energy-saving data acquisition and analysis system and method based on big data
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  • Adiabatic energy-saving data acquisition and analysis system and method based on big data

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Experimental program
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Effect test

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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Abstract

The invention relates to an adiabatic energy-saving data acquisition and analysis system and method based on big data. The system comprises a cloud platform, and an order module, a production module and a data module which are all connected with the cloud platform. The cloud platform is used for controlling and managing the work of the order module, the production module and the data module; The order module is used for receiving orders of the clients, processing the orders, matching factories according to order processing results and dispatching the orders; The production module is used for enabling the factory to automatically produce according to the dispatched orders; And the data module is used for processing the real-time data of the factory in the automatic production process and feeding back a processing result to the cloud platform. Based on the cloud platform, the modules are interconnected and intercommunicated, order, production and equipment working states are collected and analyzed in real time, customized production is achieved, and therefore client enterprises can achieve better energy conservation and emission reduction effects, the efficiency of the enterprises isimproved, and the working efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of thermal insulation engineering for industrial equipment, in particular to a system and method for collecting and analyzing thermal insulation and energy saving data based on big data. Background technique [0002] In the field of industrial equipment, it is usually necessary to do thermal insulation and energy-saving projects for some industrial equipment and pipelines to achieve energy conservation and emission reduction, and to protect industrial equipment from damage and corrosion. Therefore, in order to meet the production process and design requirements of thermal insulation projects, to improve equipment In order to improve the work efficiency, prolong the service life of the equipment, realize energy saving and emission reduction, it is necessary to collect and analyze the heat insulation and energy saving data when the heat insulation project is in progress. [0003] At present, the analysis of th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06F16/26G06Q10/06G06Q10/00G06Q50/04
CPCG06Q10/06313G06Q10/06393G06Q10/20G06Q50/04Y02P80/10Y02P90/30Y02D10/00
Inventor 王天赋程小坤
Owner SHENZHEN AEROGEL TECH CO LTD
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