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Type selection method and sample database of fans

A blower and database technology, applied in electrical digital data processing, special data processing applications, climate sustainability, etc., can solve problems such as failure to achieve energy-saving effects, high energy consumption of blowers, and not necessarily accurate and reasonable blower models.

Inactive Publication Date: 2013-02-13
SHENYANG JIANZHU UNIVERSITY
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AI Technical Summary

Problems solved by technology

Due to the fact that the selected information is not necessarily complete, and there are bound to be errors in the selection of manual charts, the model of the selected blower is not necessarily accurate and reasonable, and the best energy-saving effect cannot be achieved. This is also the reason for the high energy consumption of the blower. one

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  • Type selection method and sample database of fans
  • Type selection method and sample database of fans

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Embodiment Construction

[0013] Generally, technicians who know a certain computer database establishment method can establish a database when mastering the blower model samples commonly used in various sewage treatment processes of the blower. The database includes the main technical performance parameters of the blower, such as flow, pressure, shaft power, caliber, Speed, motor power, etc. In order to meet the needs of users for the selection of new-type blowers, the database is equipped with functions such as adding, modifying, deleting, and querying, so that users can maintain and update the database in time.

[0014] See figure 1 The operation flow chart of the intelligent selection method of the blower. The optimized selection of the blower includes:

[0015] Step 1. Run the program, input the original design data and design parameters by the user;

[0016] Step 2. Calculate the air supply and required pressure for the three flow periods of the maximum, average, and small flow in the aeration tank o...

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Abstract

The invention relates to an optimization type selection method, a sample database and a system of fans in sewage treatment plant design. The method includes step1 calculating air supply quantity and required pressure in the largest flow time section, the average flow time section and the smaller flow time section of an activated sludge system, step2 selecting type selection accuracy of the fans and maximum number of working platforms; step3 preferably selecting fan types meeting design requirements of the three flow time sections and the number and the running state of the working platforms in each time section; step4 returning to execute the step2 and reducing the type selection accuracy of the fans or determining the maximum number of the working platforms again if fans meeting the type accuracy requirement cannot be selected; and step5 queuing the fans according to energy consumption if the types of the selected fans are larger than 1 and providing the most energy-saving fan and a running combination of the fan for a user to achieve the aims of saving energy and improving working efficiency.

Description

Technical field [0001] The invention relates to a method for optimizing the type of blower in the design of a sewage treatment plant. [0002] Said it is a kind of blower selection method and sample database. Background technique [0003] In the field of sewage treatment technology today, the activated sludge method is one of the most widely used technologies. Most of the sewage treatment plants adopting the activated sludge method at home and abroad use the blast aeration process. The energy consumption of the blower accounts for more than half of the total energy consumption of the entire sewage plant, which is the main reason for the high energy consumption of the activated sludge process. At present, when selecting a blower, the designer makes manual selection by consulting the design manual and blower samples. Because the selected data is not necessarily perfect, and there are inevitably errors in the manual check chart selection, the selected blower model may not be accura...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCY02D10/00
Inventor 尹士君班福忱景亚萍吕桂峰张永健
Owner SHENYANG JIANZHU UNIVERSITY
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