JP2020186987A - Water quality measurement device - Google Patents

Abstract

To provide a water quality measurement device which can measure the concentration of sludge with improved accuracy and which can appropriately take a measure of removal of dirt on an irradiation window.SOLUTION: Emission light of a light emitter 2 above an irradiation window 1 which is provided in a circulation path 10 of measurement water 11 is transmitted through the measurement water 11 and enters a light receptor 3 having a matrix structure by a plurality of light reception elements. A calculator 41 of a data processing device 4 for receiving data on the entrance of the light calculates the concentration of sludge of the measurement water 11 from the total amount of received light which is obtained by calculating a mean value of output values equal to or more than a predetermined threshold relative to the maximum output value of the light reception element group, and specifies coordinates of the light reception elements outputting values equal to or less than the predetermined threshold and outputs them to a display 9.SELECTED DRAWING: Figure 1

Description

The present application relates to a water quality measuring device.

Conventionally, in an optical water quality measuring device that irradiates the measurement water in the flow pipe with light and receives at least one of the transmitted light and the scattered light with a detector to measure the water quality of the measured water, it is provided on the pipe wall of the flow pipe. A device including an irradiation window and a light receiving window, and an optical system including a light source lamp and a detector provided outside the flow tube is disclosed (see, for example, Patent Document 1).

JP-A-59-34135

However, the technique shown in Patent Document 1 irradiates the measurement water with light to receive transmitted light and scattered light, and calculates the sludge concentration of the measurement water based on the amount of the light, and the irradiation window of the light receiving portion. Has a problem that the sludge of the measurement water adheres with time, so that the amount of light entering is reduced and a measurement error occurs. In addition, since it is not possible to determine whether the fluctuation in the amount of light due to the decrease in the amount of incoming light is due to dirt or the fluctuation in the sludge concentration of the measured water, it is necessary to perform maintenance on the irradiation window earlier than the actual adhesion of dirt. There is a problem that the maintenance cost is high. Furthermore, in order to determine the maintenance period, it is necessary to repeat trial work such as checking the degree of dirt on the irradiation window, and even if the maintenance cycle and cleaning time are determined, due to seasonal differences or changes in the quality of the measured water, etc. However, dirt may adhere earlier than expected and abnormalities in the measured values may occur, and there is a problem that maintenance is troublesome and the cost is high even in steady operation.

The present application discloses a technique for solving the above-mentioned problems, and can measure the sludge concentration of the measured water stably and accurately, and can maintain and manage the device by appropriately maintaining the irradiation window. It is an object of the present invention to provide a water quality measuring device that reduces the burden on the water quality.

The water quality measuring device disclosed in the present application is
An irradiation window provided in the flow path of the measurement water, a light emitting unit provided above the irradiation window to emit the irradiation light to the measurement water, and a plurality of light receiving elements for receiving the incoming light from the measurement water. It is a water quality measuring device provided with a light receiving unit configured in a matrix, a data processing device for receiving incoming light data from the light receiving unit, and a display unit.
The calculation unit provided in the data processing device calculates the average value of the outputs of the plurality of light receiving elements having an output value equal to or higher than a predetermined threshold value with respect to the maximum output value among the plurality of light receiving elements. Then, the sludge concentration of the measured water is calculated by the total light receiving amount based on the average value, and the output value having an output value equal to or less than a predetermined threshold value with respect to the maximum output value among the plurality of light receiving elements is obtained. The coordinates of the light receiving element configured in the matrix are specified, and the light input data from the light receiving unit, the sludge concentration, and the specified coordinates are output to the display unit.

Since the water quality measuring device disclosed in the present application adopts the above-mentioned configuration, it is possible to measure the sludge concentration of the measured water with high accuracy, and it is possible to reduce the labor and cost required for the maintenance of the irradiation window. There is.

It is a figure which shows the water quality measuring apparatus according to Embodiment 1. FIG. It is a figure which shows the irradiation window which is not attached with the dirt by Embodiment 1. It is a figure which shows the irradiation window which adhered the dirt by Embodiment 1. FIG. It is a figure which shows the received light amount by Embodiment 1. FIG. It is a figure which shows the light receiving amount of the light receiving element after selection by Embodiment 1. FIG. It is a figure which shows the calibration curve by Embodiment 1. FIG. It is a figure which shows the dirt of the irradiation window at t = 0 by Embodiment 2. It is a figure which shows the dirt of the irradiation window at t = to + 1 by Embodiment 2. FIG. It is a figure which shows the dirt of the irradiation window in t = to + 2 by Embodiment 2. FIG. It is a figure which shows the dirt of the irradiation window in t = to + 3 by Embodiment 2. FIG. It is a figure which shows the water quality measuring apparatus according to Embodiment 3.

Embodiment 1.
The first embodiment will be described with reference to the drawings. FIG. 1 shows a water quality measuring device 100 for measuring the sludge concentration of water quality in water and sewage treatment facilities, wastewater treatment facilities of factories, water quality management facilities such as lakes and rivers. The water quality measuring device 100 is, for example, treated water in a sewage treatment facility, and is installed in the flow passage 10 of the measurement water 11 to be measured. The water quality measuring device 100 is composed of an irradiation window 1, a light emitting unit 2, a light receiving unit 3, a data processing device 4, and a display unit 9 provided in the flow passage 10, and the data processing device 4 includes a calculation unit 41, A storage unit 42 and a detection unit 43 are provided. The display unit 9 is provided in a terminal device owned by a technician who manages the sewage treatment facility, and the output of the data processing device 4 is displayed on the display unit 9. The display unit 9 is not limited to this, and the display unit 9 may be provided in the vicinity of the water quality measuring device 100.

The irradiation light 7 output by the light emitting unit 2 passes through the measurement water 11 and is received by the light receiving unit 3 as incoming light 8. In this case, of the scattered light scattered by the sludge particles 5 in the measurement water 11, a part of the backscattered light scattered rearward passes through the irradiation window 1 and enters the light receiving unit 3. The light receiving unit 3 that receives the incoming light transmits it to the data processing device 4, and the calculation unit 41 provided in the data processing device 4 calculates and converts the light receiving amount and the sludge concentration.
Note that FIG. 1 also shows a state in which the sludge particles 5 in the measurement water 11 and the dirt 6 caused by the sludge particles 5 adhere to the irradiation window 1 in the vicinity of the light receiving unit 3.

Next, as shown in FIG. 2, the light receiving unit 3 has five vertical (Y-axis, Y1, Y2, Y3, Y4, Y5) and five horizontal (X-axis, X1, X2, X3, X4, X5). The light receiving element group 30A is composed of a matrix of a total of 25 light receiving elements 3A. Note that FIG. 2 shows the plane of the irradiation window 1 viewed from the direction of the arrow A in FIG. 1 and the light receiving element 3A of the light receiving unit 3 installed above the irradiation window 1. No matrix net is displayed on the upper and lower surfaces.

The irradiation window 1 shown in FIG. 2 is a diagram showing a state in which dirt 6 is not attached, but as shown in FIG. 3, dirt 6 is attached and a part of the light receiving portion 3 is covered with the passage of time. This case will be described.
In FIGS. 3 and 4, the five light receiving elements 3A of the light receiving unit 3 (X1, Y1 to Y5), most of the three (X5, Y1 to Y3), and the four of (X2, Y1 to Y4). Dirt 6 is attached to the irradiation window 1 in the vicinity of one small portion of one (X4, Y1) and one (X5, Y4). The calculation unit 41 that receives the incoming light data from the light receiving element 3A affected by the dirt 6 output by the light receiving unit 3 calculates that 34% of the light receiving unit 3 is covered and the effective light receiving area is 66%. ..

Next, the arithmetic processing by the arithmetic unit 41 of the data processing apparatus 4 will be described. In the calculation unit 41, the irradiation windows 1 in the vicinity of the plurality of light receiving elements 3A having outputs within a predetermined threshold value with respect to the maximum output value in each light receiving element 3A constituting the light receiving element group 30A are affected by the dirt 6. It is selected as not received, these are adopted as sample data, the average value of the sample data output is obtained, and the total received light amount is calculated based on this average value, which is equal to or less than the above-mentioned predetermined threshold value. The data of the light receiving element 3A that outputs the above is excluded. A specific example of the arithmetic processing is shown below.

Position (X, Y) receiving amount _{L XY} of certain light receiving element 3A in, Lmax the amount of light received by the light receiving element 3A showing the maximum value of the light receiving elements 3A constituting the light receiving element group 30A, a predetermined threshold value A plurality of light receiving elements 3A satisfying L _XY ≧ K × L max with a coefficient of K are adopted. In the first embodiment, the threshold coefficient K is set to 0.95, but it is not necessarily fixed to this value, and is changed according to the actual condition of the measured water of the equipment operating the water quality measuring device 100. It is a thing.

In the examples shown in FIGS. 3 and 4, one of (X2, Y5), five of (X3, Y1 to Y5), three of (X4, Y3 to Y5), and one of (X5, Y5). The calculation is performed assuming that the output values of the total of 10 light receiving elements 3A are within 95% of the maximum value, that is, they are not affected by the dirt 6. FIG. 5 shows the distribution of the light receiving element 3A after selection, which is the base for performing this arithmetic processing. FIG. 4 is a distribution diagram of the amount of received light of the actual value received, and FIG. 4 is output to the display unit 9. FIG. 5 shows the light receiving amount selected to be the light receiving element 3A within 95%. At this time, the coordinates of the light receiving element 3A, which is not within 95% of the maximum value and is affected by the dirt 6, are stored in the storage unit 42.

Further, the calculation unit 41 calculates the average value of the output values of the above 10 light receiving elements 3A, 10 (au) as is clear from FIG. 5, and the total light receiving amount (average value) based on the average value. × Number of elements) calculates the sludge concentration of the measured water 11 based on the calibration curve shown in FIG. 6 stored in the calculation unit 41, and outputs the sludge concentration value at that time to the display unit 9. Further, the display unit 9 displays the coordinates of the light receiving element 3A affected by the dirt 6. When the sludge concentration of the control standard value is exceeded, the display unit 9 generates an alarm signal. The process and result of processing by the calculation unit 41 are stored in the storage unit 42 of the data processing device 4.

In the case of the comparative example in which the light receiving portion is formed of one light receiving element that does not form a matrix with respect to the first embodiment, the amount of light received when no dirt is attached is 10 (au). Then, it becomes about 6 (au), and as a result, the sludge concentration of the measured water 11 is measured excessively more than the actual sludge concentration as described later in FIG.

As shown in the calibration curve of FIG. 6, in the first embodiment, it is possible to measure the sludge concentration with improved reliability excluding the influence of dirt, but in the comparative example, the sludge concentration is high because an error due to dirt adhesion is included. It will be calculated.

In the first embodiment, an example of the light receiving element group 30A in which the light receiving unit 3 is composed of a matrix of 25 light receiving elements 3A having 5 vertical (Y-axis) and 5 horizontal (X-axis) is shown. The matrix is not limited to this, and may be, for example, a matrix of 50 vertical (Y-axis), 50 horizontal (X-axis), or the like, or may be further increased.

Further, although the shape of the irradiation window 1 is square, it may be a rectangle having a long axis in the flow direction of the measurement water 11. In addition, the detection unit 43 provided in the data processing device 4 has a predetermined number, for example, the total number of light receiving elements 3A of the management standard, which may have a reduced amount of light received by the calculation of the calculation unit 41 and may be dirty. By outputting an alarm signal to the display unit 9 when 15 of the 25 are reached, it is possible to perform maintenance on the irradiation window 1 at an appropriate timing, and it is possible to check the degree of excess dirt. There is an effect that the number of implementations is reduced, the operation of water quality measurement for the confirmation work is not stopped, the cost is reduced, and the equipment can be operated with high reliability.

Embodiment 2.
In the second embodiment, the fluctuation of the dirt 6 can be detected in time series. The light receiving unit 3 is a light receiving element group 30A composed of a matrix of 25 light receiving elements 3A shown in the above-described first embodiment, and measures stain fluctuations in a time series from t = 0 to t = to + 3. is there. In FIG. 7, at t = to at the start of measurement, it is assumed that dirt 6A is attached to the irradiation window 1 in the vicinity of the three light receiving elements 3A of the light receiving unit 3, and the coordinates of the light receiving element 3A are (X1, Let it be Y2), (X1, Y5), (X5, Y5).

That is, in FIG. 7, dirt 6A adheres to the irradiation window 1 at the above coordinates, and the irradiation window 1 in the vicinity of these three light receiving elements 3A is hatched. The dirt 6A is in a state of being adhered to and fixed to the irradiation window 1, and the dirt 6B shown in FIGS. 8 to 10 shows a state in which the sludge particles 5 in the measurement water 11 are flowing with time. In chronological order, FIG. 8 shows the stains 6A and 6B of the irradiation window 1 at the time of t = to + 1 after 30 seconds to 1 minute from t = to in FIG. 7, and FIG. 9 shows stains 6A and 6B after 30 seconds to 1 minute from FIG. FIG. 10 shows the stains 6A and 6B of the irradiation window 1 in the time frame state over the time point of t = to + 3 after 30 seconds to 1 minute from FIG. 9 of t = to + 2.

In the state of t = to + 1 in FIG. 8, since the sludge particles 5 in the measurement water 11 hinder the transmission to the irradiation window 1 and there are two light receiving elements 3A in which the amount of light received is reduced, the coordinates (X2, The irradiation windows 1 of Y4) and (X3, Y1) are in a state where dirt 6B is attached. In the state of t = to + 2 in FIG. 9, assuming that there is no change in the sludge concentration in the measurement water 11, the sludge particles 5 move and stain the irradiation windows 1 at the coordinates (X3, Y4) and (X4, Y2). It will be in a state where 6B is attached. Next, in the state of t = to + 3 in FIG. 10, the sludge particles 5 move in the same manner, and the dirt 6B adheres to the coordinates (X4, Y4) and (X5, Y3).

As described above, the dirt 6A at the coordinates (X1, Y2), (X1, Y5), and (X5, Y5) shown in FIGS. 7 to 10 is fixed to the irradiation window 1 and receives light from each light receiving element 3A. The amount does not change over time. On the other hand, the coordinates (X2, Y4), (X3, Y1), (X3, Y4), (X4, Y2), (X4, Y4), (X5, Y3) according to the stain 6B shown in FIGS. 8 to 10 The light receiving amount of each light receiving element 3A includes a time change.

Therefore, in the calculation unit 41, the light receiving element 3A whose light receiving amount decreases and does not fluctuate is specified by comparison for each time interval, excluded from the sample data, and the light receiving amount of the other remaining light receiving elements 3A is used in the first embodiment. Similar to the one shown, the conversion to the sludge concentration enables highly reliable measurement of the sludge concentration.

Further, in the second embodiment, the calculation unit 41 identifies the light receiving element 3A that does not fluctuate due to the decrease in the light receiving amount from the comparison between the time frames in several minutes from t = to to t = to + 3, and the display unit. In addition to outputting to 9, the detection unit 43 outputs an alarm signal to the display unit 9 when the number of the specified light receiving elements 3A reaches a predetermined number of management standards, for example, 15 out of 25. There is an effect that the technician can easily maintain the specified number and location of the irradiation windows 1. Furthermore, from the comparison for each time interval, it becomes easy to determine whether the decrease in sludge concentration is due to the adhered dirt 6 or the sludge particles 5 in the measurement water 11, and the timing of maintenance of the irradiation window 1 Can be determined more appropriately, and highly accurate and economical operation can be realized.

Although the time interval is set to 30 seconds to 1 minute, it may be appropriately changed to, for example, an interval of 3 minutes to 5 minutes, depending on the water quality of the measured water in the equipment operating the water quality measuring device 100.

Embodiment 3.
Next, as the third embodiment, the water quality measuring device 100 using the artificial intelligence unit 44 will be described with reference to the drawings. As shown in FIG. 11, the data processing device 4A of the third embodiment is provided by adding the artificial intelligence unit 44 to the data processing device 4 shown in the first embodiment. FIG. 11 shows a case where a plurality of existing sewage treatment facilities are operated, for example, an extension is made to the sewage plant C in addition to the sewage treatment plants A and B. The water quality measuring device 100 according to the first embodiment is operated at the airport A and the airport B.

Next, the artificial intelligence unit 44 of the data processing device 4 of the water quality measuring device 100 installed in the machine field C has various data of the same type stored in advance in the storage unit 42 of the data processing device 4 of the machine field A and the machine field B. From, the data shown in the airport A and the airport B in FIG. 11 are acquired. In the following, the airport A in FIG. 11 will be described in detail, but the same applies to the airport B.

Similar to FIG. 3 shown in the first embodiment, CA1, CA2, CA3 having different measurement times for 20J with dirt and 20H without dirt, CA1 to CA3 for the light receiving amount 21R in FIG. 4, and CA1 for the light receiving amount 21N after selection. ~ CA3, and CA1 to CA3 for sludge concentration 22G. Similarly, each CB1, CB2, and CB3 of the airport B is also acquired.

The artificial intelligence unit 44 is a set of 20J with dirt, 20H without dirt, 21R of light receiving amount, 21N of light receiving amount after selection, and 22G of sludge concentration for each CA shown in FIG. 11, that is, every CA1, every CA2, and every CA3. Learn about the set of data. In this learning, for example, after excluding the light receiving element 3A that has not reached the threshold value from the light receiving element 3A in the matrix arrangement that simulates the processing performed by the calculation unit 41 described in the first embodiment based on the graphic pattern of 20J with dirt. It is the one that performs the operation of. The result of learning is stored in the artificial intelligence unit 44.

Next, the operation of the water quality measuring device 100 in the machine field C will be described. When the output of the light receiving unit 3 affected by the dirt 6 adhering to the irradiation window 1 shown in FIG. 11 is input to the data processing device 4A, the artificial intelligence unit 44 uses the stored learning result to, for example, receive the above light reception. When it is determined that the incoming light data from the unit 3 is the same as the set CA1, the sludge concentration as a result and the specified coordinates are created and output to the display unit 9. In addition to the two airports A and B, the data of other airports are also used as the data to be learned, so that the above determination can be made more accurate.

As described above, according to the water quality measuring device 100 of the third embodiment, in addition to the effect of the first embodiment, there is an effect that the load of the calculation unit 41 of the data processing device 4 is reduced.

Embodiment 4.
In each of the above embodiments, an example is shown in which light irradiation is used for water quality measurement and the light receiving unit 3 is provided, but instead of light irradiation, any one of sound waves, ultrasonic waves, and microwaves is used to replace the light receiving unit 3. Even if the sound measuring element is used, the same can be performed in the same manner as in each of the above-described embodiments, and the same effect can be obtained.

Although the present application describes various exemplary embodiments and examples, the various features, embodiments, and functions described in one or more embodiments are applications of a particular embodiment. It is not limited to, but can be applied to embodiments alone or in various combinations.
Therefore, innumerable variations not illustrated are envisioned within the scope of the techniques disclosed in the present application. For example, it is assumed that at least one component is modified, added or omitted, and further, at least one component is extracted and combined with the components of other embodiments.

1 irradiation window, 2 light emitting part, 3 light receiving part, 3A light receiving element, 4, 4A data processing device,
5 sludge particles, 6,6A, 6B dirt, 7 irradiation light, 8 incoming light, 9 display unit,
10 flow path, 11 measurement water, 41 calculation unit, 42 storage unit, 43 detection unit,
44 Artificial intelligence department, 100 Water quality measuring device.

Claims (8)

An irradiation window provided in the flow path of the measurement water, a light emitting unit provided above the irradiation window to emit the irradiation light to the measurement water, and a plurality of light receiving elements for receiving the incoming light from the measurement water. It is a water quality measuring device provided with a light receiving unit configured in a matrix, a data processing device for receiving incoming light data from the light receiving unit, and a display unit.
The calculation unit provided in the data processing device calculates the average value of the outputs of the plurality of light receiving elements having an output value equal to or higher than a predetermined threshold value with respect to the maximum output value among the plurality of light receiving elements. Then, the sludge concentration of the measured water is calculated by the total light receiving amount based on the average value, and the output value having an output value equal to or less than a predetermined threshold value with respect to the maximum output value among the plurality of light receiving elements is obtained. A water quality measuring device that specifies the coordinates of a light receiving element configured in a matrix and outputs the incoming light data from the light receiving unit, the sludge concentration, and the specified coordinates to the display unit. The water quality measuring device according to claim 1, wherein the calculation unit performs calculations three or more times at predetermined time intervals, and the time intervals are 30 seconds to 60 seconds. The water quality measuring device according to claim 1 or 2, wherein the detection unit provided in the data processing device outputs an alarm to the display unit when the sludge concentration of the measured water exceeds a predetermined control reference value. .. From claim 1, the detection unit provided in the data processing device outputs an alarm to the display unit when the number of the light receiving elements having an output value equal to or less than the predetermined threshold value is a predetermined number or more. The water quality measuring device according to any one of claims 3. The water quality measuring device according to any one of claims 1 to 4, wherein the predetermined threshold value is appropriately set according to the actual situation of contamination of the measured water. The water quality measuring device according to any one of claims 1 to 5, wherein the matrix is composed of a total of 25 or more light emitting elements having the same number on both the Y-axis and the X-axis. The water quality measuring device according to any one of claims 1 to 6, wherein the shape of the irradiation window is either a rectangle or a rectangle having a long axis in the flow direction of the measured water. A plurality of water quality measuring devices according to claim 1 are installed as existing equipment in the same water quality management facility, and the water quality measuring device newly installed in the water quality management facility includes the data of the water quality measuring device according to claim 1. An artificial intelligence unit is provided in addition to the processing device, and the artificial intelligence unit is stored in the storage unit of the water quality measuring device of the existing equipment with the incoming light data of the light receiving unit at the same measurement timing. After acquiring data of a plurality of sets in which the total light receiving amount and the sludge concentration are set as one set, learning is performed and the result is stored, and the light receiving unit of the data processing device of the newly installed water quality measuring device. When the output from is input, the artificial intelligence unit creates the sludge concentration of the measured water and the specified coordinates by using the result of the learning based on the incoming light data from the light receiving unit, and the light receiving unit. A water quality measuring device that outputs light input data from the display to the display unit.

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