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Big data based intelligent monitoring, analyzing and managing system for dust removal equipment

A technology of dust removal equipment and intelligent monitoring, applied in measurement devices, instruments, etc., can solve problems such as poor airflow, reduced suction, and elimination of dust vibration in dust removal filter bags, achieve optimal screening determination, and improve fine screening and classification. Effect

Active Publication Date: 2021-01-26
上海煤科信息科技有限公司
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AI Technical Summary

Problems solved by technology

[0002]With the development of industrialization and urbanization, industries such as electric power, cement, steel, and non-ferrous metals have developed on a large scale, and the amount of flue gas and dust concentration has also increased significantly , the environmental pollution caused is becoming more and more serious, and environmental protection issues are getting more and more attention. At present, dust removal equipment is used to process the generated dust or gas, but as the use of dust removal equipment increases, the suction of dust removal equipment will become smaller, and the suction Reduce the existing situation, as follows: the sealing inside the dust removal equipment is poor; the pipe of the dust collector is blocked by dust debris, and the air flow is not smooth; the dust filter bag is blocked; Sliding phenomenon, all of the above will cause the suction of the dust removal equipment to decrease. Once the suction decreases, the interior of the dust removal equipment will be blocked, and a vicious circle will appear in which the suction of the dust removal equipment will gradually decrease. The dust removal motor cannot be fully dissipated, and the dust removal motor is damaged. The existing dust removal equipment cannot automatically detect the failure of the dust removal equipment to reduce the suction force during the dust removal process, and cannot eliminate the vibration of the dust on the dust removal filter bag, etc. , leading to poor dust removal efficiency of the dust removal equipment and the failure to realize the fault self-check function, manual fault repair is required, which increases the time for maintenance and inspection, and cannot improve the use efficiency and dust removal performance of the dust removal equipment

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Embodiment Construction

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0044] see Figure 1-5 As shown, an intelligent monitoring, analysis and management system for dust removal equipment based on big data includes a dust concentration detection module, a suction detection module, a suction identification analysis module, a suction failure evaluation module, a big data service platform, a decision-making guidance repair calibration module, and a dust collection module. Quantity detection module, power equipment operation acquisition ...

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Abstract

The invention discloses a big data based dust removal equipment intelligent monitoring analysis management system. The system comprises a dust concentration detection module, a suction detection module, a suction identification and analysis module, a suction fault judgment module, a big data service platform, a decision guide repair calibration module, a dust collection amount detection module, apower equipment operation acquisition module, a power equipment fault analysis module, vibration repair dust falling equipment and a dust removal prediction alarm module. According to the invention, the fault types of the dust removal equipment can be optimized and screened, and the decision guide repair calibration module is adopted to perform bidirectional comparison calibration on the predictedand screened fault types of the dust removal equipment and the actually detected fault types, so that the fault types of reduced suction force of the dust removal equipment can be further accuratelyjudged; specific faults corresponding to the dust removal equipment are screened out, the self-checking capacity of the faults of the dust removal equipment is achieved, reliable fault type information is provided for later maintenance of technicians, and the manual fault maintenance time is shortened.

Description

technical field [0001] The invention belongs to the technical field of dust removal equipment monitoring, and relates to an intelligent monitoring, analysis and management system for dust removal equipment based on big data. Background technique [0002] With the development of industrialization and urbanization, the large-scale development of industries such as electric power, cement, steel, and non-ferrous metals, the amount of flue gas emitted and the concentration of dust have also increased significantly, resulting in increasingly serious environmental pollution, and environmental protection issues have received increasing attention. Dust removal equipment is currently used to process the generated dust or gas, but as the use of the dust removal equipment increases, the suction of the dust removal equipment will become smaller, and the suction of the dust removal equipment will decrease, as follows: Poor sealing inside the dust removal equipment The pipe of the dust col...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01D21/02G06Q10/00
CPCG01D21/02G06Q10/20
Inventor 张恩然李辉
Owner 上海煤科信息科技有限公司
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