JP3242535U - Filtration performance predictor - Google Patents

Abstract

[Problem] When considering the application of filtration, it is necessary to collect a considerable amount of evidence data in consideration of changes in the water quality of the raw water to be filtered. A system for predicting filtration performance is provided. [Solution] Filtration performance such as measured values of transparency and amount of suspended solids of similar liquid in advance, water quality when the liquid is actually filtered, and filtration performance such as change over time in reduction of filtered water amount per unit time. Collect and accumulate in a computer database. Filtration performance can be predicted without actually performing filtration by matching the measured value of transparency of the liquid to be predicted with the data. [Selection drawing] Fig. 8

Description

The present invention is an insoluble substance suspended in well water, seawater, river water, ponds, pools, water tanks, etc., for drinking, daily use, industrial use, business use, etc. This paper relates to the performance prediction of the filtration process that physically separates and removes by using a filtration medium such as a filter or membrane.

Turbidity and SS (suspended solids or suspended solids) are some of the water quality control items for water used for drinking, daily life, industrial use, business use, and the like.

For example, the water quality standard for tap water is "turbidity of 2 degrees or less", the water quality standard for public baths is "turbidity of 2 degrees or less" and bathtub water is "turbidity of 5 degrees or less", and pool water is There is a standard value of "turbidity of 2 degrees or less".

Regarding effluent from wastewater treatment, which contains a relatively large amount of suspended solids, the Uniform Wastewater Standards of the Water Pollution Control Law stipulates a standard value of "suspended solids (SS) of 200 mg/l or less".

Filtration processes suitable for removing suspended solids are also carried out in various other factories and facilities according to their respective uses.

Filtration treatment is important for legal compliance and quality control, so it is necessary to measure according to Japanese Industrial Standards (JIS K0101, K0102, hereinafter referred to as "JIS method").

In addition, at the study and design stage where the filtration process has not yet been installed, a similar filtration process will be performed to determine the specifications of the filtration process method, and the removal performance of suspended solids and continuous operation will be estimated. .

Management of the filtration process is essential for legal compliance and quality maintenance. It's a big burden.

In addition, when considering the application of filtration treatment when no filtration process is currently installed, it will be necessary to collect a considerable amount of evidence data in consideration of changes in the water quality of the filtered raw water. a heavy burden.

The present invention is a method of predicting filtration performance without actually performing filtration, based on a simple and inexpensive measurement method called transparency and actual measurement data of filtration processing accumulated in a database.

Measured values of transparency and amounts of suspended solids (turbidity, SS, etc.) of well water, seawater, river water, ponds, pools, water tanks, etc. to be filtered are collected and stored in a database such as a computer in advance. An example of graphing the accumulated data is shown in FIGS. 1 and 2. FIG.

If the filtration process always treats water from the same water source, the collected and accumulated data in the preceding paragraph should be the actual measurements of that water source.

On the other hand, when using the predicted value of this invention as a reference for the design of a new filtration process, etc., it is better to expand the collection conditions such as various regions, seasons, and amount of rainfall.

For the filtered raw water collected according to the procedure in the preceding three paragraphs, all or one of the water quality when actually filtered, the change over time in the decrease in the amount of filtered water per unit time, and the change over time in the increase in pressurization energy required for filtration part of the database. Examples of data graphs are shown in FIGS. 3, 4, and 5. FIG.

Measure the transparency of the liquid whose filtration performance you want to predict. The measuring method may be a method defined in Japanese Industrial Standards (JIS K0101, K0102), or a simple method using transparent tubes or containers. In the case of the simple method, it is desirable to use transparent tubing (for example, graduated cylinder-like) or container (for example, PET bottle) that can secure a water depth of 10 cm or more. An example of the equipment used is shown in FIG.

Further, even if no instrument is used for measuring transparency, the depth of water in centimeters that can be seen from the surface of the filtered raw water may be used as an index.

The transparency measured by the JIS method as described above or the transparency equivalent value measured by the simplified method is collated with the data shown in FIGS. 3, 4 and 5 to predict the filtration performance.

In the case of the filtration process that is already in operation, by measuring the transparency of the filtered raw water, the turbidity or suspended solids (SS) value of the filtered water, the change over time of the decrease in the filtered water volume per unit time, It is possible to predict the change over time of the increase in pressurization energy required for filtration.
This prediction method reduces labor, time, and economic burdens on site, and enables quicker and more frequent water quality control, contributing to legal compliance, quality improvement, and cost reduction.

Assuming that a filtration process is installed even though the filtration process is not currently installed, when predicting the filtration performance, it is possible to measure the transparency of the filtered raw water and compare it with the filtration performance data of similar filtered raw water. , numerical value of turbidity or suspended solids (SS) of filtered water, change over time in decrease in amount of filtered water per unit time, and change over time in increase in pressurization energy required for filtration can be predicted.
Using this prediction method, it is possible to select a filtration process with an appropriate scale and specifications, reduce the labor, time, and economic burden of planning work, and contribute to optimization of the filtration process and cost reduction.

It is an example of accumulating and graphing the measured values of transparency and turbidity of filtered raw water. It is an example of accumulating and graphing the transparency of filtered raw water and the measured values of SS. It is an example of accumulating and graphing the relationship between the transparency of filtered raw water and the turbidity of filtered water when filtered under certain conditions. It is the example which accumulate|stored the relationship of the time-dependent change of the amount of filtered water in a fixed condition for every transparency of filtered raw water, and made a graph. It is an example of accumulating and graphing the relationship of changes over time in pressure required for filtration under certain conditions for each degree of transparency of filtered raw water. It is an example of a transparency meter used in the JIS method and an instrument for measuring the transparency equivalent value that can be used in the simple method. This is an example of a method of predicting the turbidity of filtered water using the measured value of transparency of filtered raw water. This is an example of a method of predicting changes over time in the volume of filtered water using the measured value of the transparency of filtered raw water. This is an example of a method of predicting changes over time in pressure required for filtration using measured values of transparency of raw filtered water.

An example of the prediction method will be described with reference to FIGS. 7, 8 and 9. FIG.

When predicting the turbidity of the filtered water, for example, when the transparency of the filtered raw water is 60 cm in FIG. 7 (FIG. 7 [1]), Extending the line upward and extending a horizontal line toward the vertical axis from the point where it intersects the performance curve (Fig. 7 [2]), the intersection point will be about 1 degree (Fig. 7 [3]), and the predicted filtered water The turbidity of is about 1 degree.

When the required filtered water volume is 5 liters per minute or more and the duration of filtration is predicted in consideration of clogging of the filter body, for example, in FIG. (Fig. 8 [4]), so the line is extended horizontally to the right from the vertical axis of the filtered water volume of 5.0 liters per minute (Fig. 8 [5]), and the intersection with the performance curve B (Fig. 8 [6 ]), and about 1.8 hours at the intersection with the horizontal axis is the predicted value ([7] in FIG. 8).

If you want to operate at a filtration pressure of 0.25 megapascals or less and predict the duration of filtration in consideration of the increase in filtration pressure due to clogging of the filter body, for example, the transparency of raw water of 60 cm in FIG. Since the curve is B (Fig. 9 [8]), extend the line horizontally to the right from the filtration pressure of 0.25 MPa (Fig. 9 [9]) on the vertical axis, and the intersection with the performance curve B (Fig. 9 [ 10], the predicted value is approximately 1.4 hours, which is the intersection with the horizontal axis (Fig. 9 [11]).

1 (Fig. 7) The point that matches the actual measurement value of 60 centimeters for the transparency of the liquid you want to predict 2 (Fig. 7) The point 3 that extends the line upward from symbol 1 and intersects with the performance curve 3 (Fig. 7) Extends horizontally from symbol 2 and vertically Point 4 that intersects with the axis (Fig. 8) Classification of transparency of filtered raw water 5 (Fig. 8) Point 6 that matches the amount of filtered water required Intersecting point 7 (Fig. 8) Point 8 intersecting with the lower horizontal axis from code 6 (Fig. 9) Permeability division 9 of filtered raw water (Fig. 9) Point 10 matching the upper limit of filtration pressure setting (Fig. 9) Code 9 Point 11 (Fig. 9) where the line extends horizontally to the right and intersects the performance curve B (Fig. 9)

Claims (4)

A filtration process that physically separates and removes insoluble substances suspended in well water, seawater, river water, ponds, pools, water tanks, etc. (hereinafter referred to as "filtration raw water") using a filter. A system used in design or management,
A system for predicting filtration performance when the raw water to be filtered is filtered from the transparency of the raw water to be filtered and the correlation between the transparency and the filtration performance previously collected and stored in a computer database. The transparency of the filtered raw water is measured according to Japanese Industrial Standards (JIS K0101, K0102, etc.), is measured using transparent tubes or containers, and is measured in centimeters from the surface of the filtered raw water. 2. The system of claim 1, wherein any one of the indicators of visibility to. The filtration performance refers to the turbidity or SS (suspended solids or suspended solids) value of filtered water, or the removal rate calculated from the difference between the water quality values of filtered raw water and filtered water, or the filter body captures 2. The system according to claim 1, which is one or more of a decrease in filtered water volume per unit time due to gradual clogging by a substance, or an increase in pressurization energy required for filtration. 3. The system of claim 2, wherein when the transparency of the raw filtered water is measured using the transparent tubing or container, the liquid depth readable in the transparent tubing or container is greater than 10 centimeters.

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