Amount calculation system, amount calculation method, and amount calculation program

Abstract

It can calculate a price based on an intuitively understandable assessment of water quality. [Solution] The amount calculation system comprises one or more processors, the processor sets a first reference value for an index representing water quality based on the measurement result obtained by measuring a first water using an optical sensor for measuring water quality, sets a second reference value for the index based on the measurement result obtained by measuring at least a second water with higher water quality than the first water using the optical sensor, outputs an evaluation value corresponding to the first reference value and the second reference value based on the measurement result obtained by measuring the water to be evaluated using the optical sensor, and calculates an amount based on the evaluation value.

Description

Technical Field

[0001] The present disclosure relates to an amount calculation system, an amount calculation method, and an amount calculation program.

Background Art

[0002] Patent Document 1 discloses a system that detects the load amount of drainage and automatically charges the drainage discharger according to the load amount. This system is a system that charges the drainage discharger according to the load amount imposed on the sewage treatment facility by the drainage discharged from the drainage discharger, and includes sewage load amount detection means for detecting the water quality of the drainage discharged from the drainage discharger near the drainage source, transmission means for transmitting the load amount calculated by the load detection means to the sewage treatment facility, receiving means for receiving the transmitted load amount, and after calculating the charging amount according to the received load amount, notifying the drainage discharger of the charge.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, the conventional water quality evaluation in calculating the charging amount according to the water quality has been based on chemical indicators such as the SS (suspended solids) concentration, BOD (biochemical oxygen demand), or COD (chemical oxygen demand) in the drainage. Therefore, there has been a problem in enabling the general user to intuitively understand the validity of the charging amount according to the water quality.

[0005] An object of the present disclosure is to provide an amount calculation system, an amount calculation method, and an amount calculation program that can calculate an amount based on an intuitively understandable water quality evaluation.

Means for Solving the Problems

[0006] The amount calculation system according to the first embodiment comprises one or more processors, the processor sets a first reference value of an index representing water quality based on the measurement result obtained by measuring first water with an optical sensor for measuring water quality, sets a second reference value of the index based on the measurement result obtained by measuring at least second water with higher water quality than the first water with the optical sensor, outputs an evaluation value corresponding to the first reference value and the second reference value based on the measurement result obtained by measuring water to be evaluated with the optical sensor, and calculates an amount based on the evaluation value.

[0007] In the second embodiment of the amount calculation system, the processor calculates the evaluation value as a relative value to the first reference value and the second reference value, in the amount calculation system according to the first embodiment.

[0008] In the third embodiment of the amount calculation system, the processor calculates the amount according to the evaluation value level in the amount calculation system according to the first or second embodiment.

[0009] The amount calculation system according to the fourth embodiment is an amount calculation system according to any one of the first to third embodiments, in which the processor calculates the amount according to the evaluation value over a predetermined period.

[0010] The amount calculation system according to the fifth embodiment is an amount calculation system according to any one of the first to fourth embodiments, in which the amount is the treatment cost of the water being evaluated.

[0011] The amount calculation system according to the sixth embodiment is an amount calculation system according to any one of the first to fifth embodiments, in which the processor charges the business operator that discharged the water subject to evaluation for the amount calculated.

[0012] The amount calculation system according to the seventh embodiment is an amount calculation system according to any one of the first to sixth embodiments, wherein the processor calculates an amount based on the amount of water to be evaluated, as measured by a water volume sensor that measures the amount of water.

[0013] The method for calculating an amount according to the eighth aspect involves one or more processors executing a process to set a first reference value for an index representing water quality based on measurement results obtained by measuring first water with an optical sensor for measuring water quality, set a second reference value for the index based on measurement results obtained by measuring at least second water with higher water quality than the first water using the optical sensor, output an evaluation value corresponding to the first reference value and the second reference value based on measurement results obtained by measuring the water to be evaluated using the optical sensor, and calculate an amount based on the evaluation value.

[0014] The amount calculation program according to the ninth embodiment sets a first reference value for an index representing water quality based on the measurement results obtained by measuring first water with an optical sensor for measuring water quality, sets a second reference value for the index based on the measurement results obtained by measuring at least second water with higher water quality than the first water with the optical sensor, outputs evaluation values ​​corresponding to the first reference value and the second reference value based on the measurement results obtained by measuring water to be evaluated with the optical sensor, and causes one or more processors to execute a process to calculate an amount based on the evaluation value. [Effects of the Invention]

[0015] According to this disclosure, it is possible to calculate a monetary amount based on an intuitively understandable assessment of water quality. [Brief explanation of the drawing]

[0016] [Figure 1] This is an example of a graph showing the absorbance for each wavelength according to the first embodiment. [Figure 2] This is a block diagram showing an example of a schematic configuration of a water quality evaluation system according to the first embodiment. [Figure 3]It is a block diagram showing an example of the hardware configuration of a user terminal according to the first embodiment. [Figure 4] It is a block diagram showing an example of the functional configuration of a user terminal according to the first embodiment. [Figure 5] It is a flowchart showing an example of the setting process according to the first embodiment. [Figure 6] It is a flowchart showing an example of the evaluation process according to the first embodiment. [Figure 7] It is a diagram showing an example of the display mode according to the first embodiment. [Figure 8] It is a diagram showing an example of the display mode according to Modification Example 1 of the first embodiment. [Figure 9] It is a diagram showing an example of the display mode according to Modification Example 2 of the first embodiment. [Figure 10] It is a diagram showing an example of the display mode according to Modification Example 3 of the first embodiment. [Figure 11] It is a block diagram showing an example of the schematic configuration of a water quality evaluation system according to the second embodiment. [Figure 12] It is a block diagram showing an example of the hardware configuration of a server device according to the second embodiment. [Figure 13] It is a block diagram showing an example of the functional configuration of a server device according to the second embodiment. [Figure 14] It is a flowchart showing an example of the calculation process according to the second embodiment.

Mode for Carrying Out the Invention

[0017] Hereinafter, the water quality evaluation system 10 according to the present embodiment will be described with reference to the drawings. In each drawing, the same or equivalent components are given the same reference numerals. Also, the dimensional ratios in the drawings are exaggerated for convenience of explanation and may be different from the actual ratios. Further, the present disclosure is not limited to the following embodiments, and can be implemented with appropriate modifications within the scope of the object of the present disclosure. Also, each drawing shows only the parts necessary for the description of the present embodiment.

[0018] <Summary of the First Embodiment> The water quality evaluation system 10 of this embodiment quantitatively scores and evaluates water quality based on measurement results measured by an optical sensor. The water quality evaluation system 10 calculates the absorbance of ultraviolet and visible light, calculates index values ​​such as the average absorbance in a predetermined wavelength range, normalizes them based on at least two types of reference water, and outputs an evaluation value. According to the water quality evaluation device of this embodiment, the reference water can be arbitrarily set according to the type of water to be evaluated and the usage environment, and the relative water quality state can be easily output. The water to be evaluated may be any type of water, such as water used in facilities such as homes, swimming pools, water treatment systems, and semiconductor factories, as well as naturally occurring water such as rivers, seas, and hot springs. The water to be evaluated may also be wastewater containing high concentrations of organic components from manufacturing plants for pharmaceuticals, food, etc. Furthermore, the water quality evaluation system 10 of this embodiment may output an evaluation value based on a nonlinear standard based on three or more types of reference water.

[0019] In the first embodiment, the case of evaluating the water quality of water in a water treatment system will be described. Here, the water treatment system is, as an example, a system that autonomously controls water treatment and is a device that purifies and reuses wastewater including toilet wastewater such as human waste (also called "black water") and domestic wastewater from washbasins, showers, baths, laundry, kitchens, etc. (also called "gray water"; hereinafter, black water and gray water will be collectively abbreviated as "domestic wastewater"). In this embodiment, "high water quality" means that the water is of good quality. High water quality refers to a state of water that is, for example, colorless and highly transparent, has properties close to pure water, or has few impurities or harmful components. Low water quality refers to a state of water that is, for example, colored or has low transparency, has properties far from pure water, or contains components other than water (regardless of whether the components are harmful or harmless). Alternatively, if water quality that falls within the threshold range of a desired water quality standard is defined as "high water quality," water quality that falls outside the threshold range may be defined as "low water quality." Water quality can be appropriately set and evaluated depending on the purpose for which the water is used.

[0020] (Absorbance graph) Figure 1 is an example of a graph showing absorbance for each wavelength according to the first embodiment. Graph V1 in Figure 1 shows the absorbance calculated from spectral data measured by an optical sensor. Graph V1 is a graph with absorbance on the vertical axis and wavelength on the horizontal axis.

[0021] Graph V1 shows the absorbance of six types of water at different wavelengths. The dashed line L1 represents the absorbance of an example of domestic wastewater flowing into the water treatment system. The dashed line L2 represents the absorbance of treated water (hereinafter also simply referred to as "treated water") from domestic wastewater treated in the water treatment system. In other words, of the six types of water shown in Graph V1, the domestic wastewater represented by the dashed line L1 has the highest absorbance on average (i.e., it contains the most impurities other than water). Also, of the six types of water shown in Graph V1, the treated water represented by the dashed line L2 has the lowest absorbance on average (i.e., it contains the fewest impurities other than water). On the other hand, the absorbance at each wavelength for each of the six types of water is not necessarily constant, and there was a challenge in intuitively understanding the water quality expressed by absorbance. In this embodiment, a low average absorbance (i.e., few impurities) means high water quality, i.e., close to pure water. The spectral data is an example of "measurement results". The domestic wastewater indicated by the dashed line L1 is an example of "first water." The treated water from the domestic wastewater indicated by the dashed line L2 is an example of "second water."

[0022] (Overall structure) Figure 2 is a block diagram showing an example of the schematic configuration of a water quality evaluation system 10 according to the first embodiment. As shown in Figure 2, the water quality evaluation system 10 of the first embodiment is configured to include a user terminal 100 and an optical sensor 200. The user terminal 100 and the optical sensor 200 are connected via a network N. The network N can be at least one of the following: wired, wireless, or optical. For example, the network N can be the Internet, LAN (Local Area Network), or WAN (Wide Area Network). Although only one optical sensor 200 is shown in Figure 2, there may be multiple optical sensors 200. The user terminal 100 is an example of a "water quality evaluation device".

[0023] The user terminal 100 is an information terminal that calculates and outputs an evaluation value regarding the water quality measured by the optical sensor 200. The user terminal 100 may be any type of device, such as a smartphone, smartwatch, smart ring, smart glasses, tablet, personal computer, or dedicated device. The user terminal 100 may also be a display device that displays the evaluation value output from an external device. For example, the evaluation value regarding the water quality measured by the optical sensor 200 may be calculated by the optical sensor 200 or a server device (not shown), and the calculated evaluation value may be displayed on the user terminal 100. Alternatively, the user terminal 100 and the optical sensor 200 may be mounted in a single device.

[0024] The optical sensor 200 is a sensor that measures the water quality and outputs the measurement result. Specifically, the optical sensor 200 is composed of a control unit 210, a light source 211, a spectrometer 212, and a detector 213. The optical sensor 200 of the first embodiment is installed in a water treatment system and measures the water quality of the water used in the water treatment system. The light source 211 is an example of a "light-emitting unit". The detector 213 is an example of a "light-receiving unit". In addition, multiple sets of light sources, spectrometers, and detectors with different optical path lengths may coexist in a single optical sensor 200, allowing them to be switched according to the water quality of the object being measured. For convenience, a single set of light source, spectrometer, and detector will be described below.

[0025] The control unit 210 controls each component of the optical sensor 200, including the light source 211, the spectrometer 212, and the detector 213. The control unit 210 controls the lighting conditions of the light source 211 (e.g., lighting timing, lighting intensity, etc.). The control unit 210 also acquires signals from the detector 213 and generates spectral data. In a typical embodiment, the control unit 210 transmits the generated spectral data to the user terminal 100 via the network N. The control unit 210 may also calculate water quality-related parameters such as absorbance and transmittance based on the generated spectral data. In other words, the control unit 210 may execute functions of the user terminal 100.

[0026] The light source 211 is a light source capable of irradiating light in a wavelength range that has absorption characteristics for water. The light source 211 is composed of various light sources that emit ultraviolet and visible light, such as a tungsten halogen lamp, deuterium lamp, xenon arc lamp, LED, mercury argon lamp, zinc lamp, or laser light source.

[0027] The spectrometer 212 is an optical element that separates the light emitted from the light source 211 into wavelengths. Specifically, the spectrometer 212 separates the light emitted from the light source 211, after it has passed through the water being measured, into wavelengths. The spectrometer 212 is composed of, for example, a diffraction grating and a prism.

[0028] The detector 213 is a photoelectric conversion element that receives light separated by the spectrometer 212 and converts the light intensity of the light into an electrical signal. The detector 213 is composed of, for example, a photodiode array or a charge-coupled element.

[0029] Furthermore, the configuration of the optical sensor 200 is not limited to a configuration combining a broadband light source and a spectrometer; any configuration capable of outputting spectral data is acceptable. For example, the optical sensor 200 may use a combination of an LED of a specific wavelength and a photodiode without using a spectrometer. Alternatively, the optical sensor 200 may use a combination of an LED of a specific wavelength and a spectrometer.

[0030] (Hardware configuration) Figure 3 is a block diagram showing an example of the hardware configuration of the user terminal 100 according to the first embodiment. Note that the hardware configuration of the user terminal 100 and the control unit 210 of the optical sensor 200 are similar, so the user terminal 100 will be described as a representative example.

[0031] The user terminal 100 of the first embodiment is composed of a CPU (Central Processing Unit) 110, ROM (Read Only Memory) 120, RAM (Random Access Memory) 130, storage 140, communication I / F 150, and input / output I / F 160. Each component is connected to the others via a bus 170 so as to be able to communicate with each other.

[0032] The CPU 110 is a central processing unit that executes various programs and controls various parts. The ROM 120 stores various programs and data. In the first embodiment, the ROM 120 stores data including the evaluation program 121. The evaluation program 121 may also be stored in the storage 140, which will be described later. The RAM 130 temporarily stores programs or data as a working area. That is, the CPU 110 reads a program from the ROM 120 or storage 140 and executes the program using the RAM 130 as a working area.

[0033] The evaluation program 121 is a program that executes various processes, including those described later. When the evaluation program 121 is executed, the user terminal 100 uses various hardware resources to execute processes based on the evaluation program 121.

[0034] Storage 140 consists of flash memory, SSD (Solid State Drive), etc., and stores various programs and data.

[0035] The communication interface 150 is an interface for communicating with other devices. Specifically, the communication interface 150 communicates with various devices via network N. The input / output interface 160 is an interface for connecting to input / output devices and is used for inputting and outputting various types of information. In the first embodiment, the input / output interface 160 is connected to the display 161. The display 161 is a monitor that displays various types of information related to the water being evaluated.

[0036] (Functional Configuration) Figure 4 is a block diagram showing an example of the functional configuration of the user terminal 100 according to the first embodiment. As shown in Figure 4, the user terminal 100 functions as an acquisition unit 110A, an index value calculation unit 110B, a setting unit 110C, an evaluation value calculation unit 110D, and a display control unit 110E, when the CPU 110 executes the evaluation program 121.

[0037] The acquisition unit 110A has the function of acquiring measurement data. Specifically, the acquisition unit 110A receives and acquires measurement results transmitted from the optical sensor 200. The acquisition unit 110A acquires, for example, spectral data, light intensity data, and absorbance data.

[0038] The index value calculation unit 110B has the function of calculating an index representing water quality. Specifically, the index value calculation unit 110B calculates an index value based on the measurement results acquired by the acquisition unit 110A. In the first embodiment, the index value calculation unit 110B calculates the absorbance for each wavelength based on spectral data and calculates the average absorbance in a predetermined wavelength range. The predetermined wavelength range is, for example, a wavelength range from the ultraviolet region to the visible region, the UVC range (200 nm to 280 nm), the UVB range (280 nm to 315 nm), the UVA range (315 nm to 400 nm), and the visible range (380 nm to 700 nm). The predetermined wavelength ranges may be independent of each other or may partially overlap. Furthermore, the index value calculated by the index value calculation unit 110B is not limited to the average absorbance, but may be any index value that represents water quality, such as the median, maximum value, mode, summary statistic, descriptive statistic, standard deviation, variance, range, number of absorbance peaks, and the integral value of the received light intensity. The average absorbance in a predetermined wavelength range is one example of an "indicator representing water quality."

[0039] The setting unit 110C has a function to set reference values ​​for indicators representing water quality. Specifically, the setting unit 110C sets a predetermined water indicator value calculated by the indicator value calculation unit 110B as the reference value when evaluating water quality. The reference value in the first embodiment includes a first reference value set as the lower limit of water quality and a second reference value set as the upper limit of water quality. For example, the setting unit 110C sets the first reference value to the indicator value of a first water selected by the user. The setting unit 110C also sets the second reference value to the indicator value of a second water with higher water quality than the first water selected by the user. The setting unit 110C may also set the lowest indicator value among multiple indicator values ​​calculated from different types of water as the first reference value and the highest indicator value as the second reference value. Alternatively, the setting unit 110C may set the lower limit of the range of water quality standards to be managed as the first reference value and the upper limit as the second reference value. Here, the range of water quality standards to be managed may be any range, or it may be a known water quality range based on past water quality tests. In other words, the standard values ​​may be set appropriately depending on the purpose for which the water will be used. Furthermore, there is no particular limit to the order in which the standard values ​​are set; they may be set in the order of second standard value followed by first standard value.

[0040] The evaluation value calculation unit 110D has the function of calculating an evaluation value for water quality. Specifically, the evaluation value calculation unit 110D calculates a relative evaluation value using an index value based on the measurement results of the water to be evaluated and a first reference value and a second reference value set by the setting unit 110C. For example, the evaluation value calculation unit 110D calculates an evaluation value by normalizing the index value of the water to be evaluated within the range of the first reference value and the second reference value.

[0041] Furthermore, the evaluation value calculation unit 110D may output the water quality determination result as an evaluation value. The determination result may include, for example, whether or not the water is suitable for a given use, whether or not it is suitable for a given use, whether or not there are impurities present (e.g., nitrate, nitrite, residual chlorine, etc.), and suggestions for countermeasures. In addition, the evaluation value calculation unit 110D may determine the water quality (e.g., good or bad) based on whether or not the indicator of the water being evaluated falls within the range of the first standard value and the second standard value.

[0042] The display control unit 110E has a function to display the calculated evaluation value. Specifically, the display control unit 110E causes the evaluation value calculated by the evaluation value calculation unit 110D to be displayed on the display 161. For example, the display control unit 110E may display the evaluation value numerically, or display multiple evaluation values ​​in parallel in the form of a bar graph and a table. The display control unit 110E may also display the water quality judgment result as an evaluation value. Displaying the evaluation value is one example of "outputting the evaluation value".

[0043] (Setup process) Figure 5 is a flowchart showing an example of the setting process according to the first embodiment. In the first embodiment, the setting process is performed by the CPU 110 of the user terminal 100 reading the evaluation program 121 stored in the ROM 120 or storage 140, loading it into the RAM 130, and executing it (the same applies to subsequent processes). The setting process is performed when setting the reference values ​​used for normalizing the evaluation values ​​as a preliminary step to water quality evaluation.

[0044] In step S100 of Figure 5, the CPU 110 acquires spectral data measured from a first reference water sample. Specifically, the CPU 110 acquires spectral data of wastewater measured by the optical sensor 200. As an example, the CPU 110 acquires spectral data in a wavelength range from the ultraviolet region to the visible region (for example, from 200 nm to 700 nm).

[0045] In step S101, the CPU 110 calculates the absorbance in a predetermined wavelength range. Specifically, the CPU 110 calculates the absorbance for each wavelength based on the spectral data acquired in step S100. As an example, the CPU 110 calculates the absorbance for each wavelength in a wavelength range spanning from the ultraviolet region to the visible region. The CPU 110 may also calculate the absorbance for each wavelength in a wavelength range such as the UVC range, UVB range, UVA range, or visible range.

[0046] In step S102, the CPU 110 calculates the average absorbance. Specifically, the CPU 110 calculates the average absorbance in a predetermined wavelength range calculated in step S101. As an example, the CPU 110 calculates the average absorbance in a wavelength range spanning from the ultraviolet region to the visible region.

[0047] In step S103, the CPU 110 sets the average value of the calculated absorbance as the first reference value. Specifically, the CPU 110 sets the average value of the absorbance calculated in step S102 as the first reference value.

[0048] In step S104, the CPU 110 acquires spectral data measured from the treated water that serves as the second reference. Specifically, the CPU 110 acquires spectral data of the treated water measured by the optical sensor 200. As an example, the CPU 110 acquires spectral data in the same wavelength range as measured in step S100.

[0049] In step S105, the CPU 110 calculates the absorbance in a predetermined wavelength range. Specifically, the CPU 110 calculates the absorbance for each wavelength based on the spectral data acquired in step S104. As an example, the CPU 110 calculates the absorbance for each wavelength in the same wavelength range as calculated in step S101.

[0050] In step S106, the CPU 110 calculates the average value of the absorbance. Specifically, the CPU 110 calculates the average value of the absorbance within the predetermined wavelength range calculated in step S105.

[0051] In step S107, the CPU 110 sets the average value of the calculated absorbance as the second reference value. Specifically, the CPU 110 sets the average value of the absorbance calculated in step S106 as the second reference value. Then, the CPU 110 finishes the setting process. After finishing the setting process, the CPU 110 may proceed to the evaluation process described later (see Figure 6).

[0052] (Evaluation process) Figure 6 is a flowchart showing an example of the evaluation process according to the first embodiment. The evaluation process is performed when evaluating the water quality using the first and second reference values ​​set in the setting process (see Figure 5).

[0053] In step S200 of Figure 6, the CPU 110 acquires spectral data measured from the water under evaluation. The CPU 110 acquires spectral data of the water under evaluation measured by the optical sensor 200. For example, the CPU 110 acquires spectral data in the same wavelength range as measured in step S100 (see Figure 5).

[0054] In step S201, the CPU 110 calculates the absorbance in a predetermined wavelength range. Specifically, the CPU 110 calculates the absorbance for each wavelength based on the spectral data acquired in step S200. As an example, the CPU 110 calculates the absorbance in the same wavelength range as calculated in step S101 (see Figure 5).

[0055] In step S202, the CPU 110 calculates the average value of the absorbance. Specifically, the CPU 110 calculates the average value of the absorbance within the predetermined wavelength range calculated in step S201.

[0056] In step S203, the CPU 110 acquires the first reference value and the second reference value. Specifically, the CPU 110 acquires the first reference value set in step S103 (see Figure 5) and the second reference value set in step S107 (see Figure 5).

[0057] In step S204, the CPU 110 normalizes the calculated average absorbance within the range of the first and second reference values. Specifically, the CPU 110 calculates a value normalized within the range of the first and second reference values ​​obtained in step S203, based on the average absorbance calculated in step S202. As an example, the CPU 110 calculates a value normalized within the range from 0 to 100, assuming the evaluation value of the first reference value is 0 and the evaluation value of the second reference value is 100. If the average absorbance of the water being evaluated falls outside the range between the first and second reference values, the CPU 110 may calculate the evaluation value as a negative value or as a value greater than 100.

[0058] The evaluation value of the water being evaluated is calculated, for example, using the following equations (1) to (3). First, the absorbance of the water being evaluated at each wavelength is calculated using the following equation (1).

[0059]

number

[0060] In equation (1), "I_dark" is the signal intensity when light is blocked. "I_sample" is the signal intensity of the water or other sample being evaluated. "I_2" is the signal intensity of the second standard water sample.

[0061] Next, the average absorbance in a predetermined wavelength range is calculated using the following equation (2).

[0062]

number

[0063] In equation (2), "A(lambda_i)" is the absorbance at wavelength "lambda_i".

[0064] The evaluation value of the water being evaluated is then calculated using the following formula (3).

[0065]

number

[0066] In equation (3), "A_sample_ave" is the average absorbance of the water being evaluated. "A_1_ave" is the average absorbance of the first standard water. "A_2_ave" is the average absorbance of the second standard water.

[0067] In step S205, the CPU 110 outputs the normalized value as the evaluation value. Specifically, the CPU 110 outputs the value calculated in step S204 as the evaluation value. The CPU 110 displays the evaluation value as a single number on the display 161, for example. The CPU 110 may also display the evaluation values ​​of different types of water side by side. The CPU 110 may also send the calculated value to an external device. Then, the CPU 110 terminates the evaluation process.

[0068] (Display format) Figure 7 shows an example of a display configuration according to the first embodiment. Graph V2 in Figure 7 shows the evaluation values ​​for six types of water, from A to F, as numerical values ​​and bar graphs. Graph V2 is a graph with the evaluation value on the vertical axis and the water type on the horizontal axis. Graph V2 is displayed as an example in step S205 (see Figure 6).

[0069] In the first embodiment, the evaluation value of water A is "0", the evaluation value of water B is "24", the evaluation value of water C is "88", the evaluation value of water D is "95", the evaluation value of water E is "56", and the evaluation value of water F is "100". Water A is domestic wastewater set to the first standard value, and is shown to have the lowest water quality among waters A through F. Water F is treated water set to the second standard value, and is shown to have the highest water quality among waters A through F. Note that the evaluation values ​​of water set to standard values ​​may not be displayed.

[0070] As shown in Figure 7, the water quality of water B through E is displayed side-by-side with numerical values ​​and bar graphs comparing it to the water quality of water A and F, allowing for a quick comparison of the water quality from A to F. In other words, the user terminal 100 of the first embodiment allows for easy comparison of evaluation values ​​for multiple water samples.

[0071] (Summary of the first embodiment) In the first embodiment, the user terminal 100 sets a first reference value for the water quality index based on spectral data obtained by measuring a first reference water using an optical sensor 200. The user terminal 100 also sets a second reference value for the water quality index based on spectral data obtained by measuring treated water (which is obtained by treating a second reference water) using the optical sensor 200. Then, based on spectral data obtained by measuring the water to be evaluated using the optical sensor 200, it calculates evaluation values ​​corresponding to the set first and second reference values ​​and displays them on the display 161. Therefore, the user terminal 100 of this embodiment allows for an intuitive understanding of water quality evaluation. Furthermore, the user terminal 100 of this embodiment enables water quality testing and wastewater management testing.

[0072] In the first embodiment, the user terminal 100 calculates the evaluation value by normalizing it as a relative value (for example, from 0 to 100) within the range of the first and second reference values. Therefore, with the user terminal 100 of this embodiment, it is possible to quickly and intuitively grasp what level of water quality the water being evaluated is within the standard range.

[0073] The optical sensor 200 of the first embodiment performs measurements in a wavelength range from the ultraviolet region to the visible region, and the indicator representing water quality is the average value of absorbance in that wavelength range. Therefore, with the user terminal 100 of this embodiment, complex measurement information can be consolidated and used as a single indicator.

[0074] (Modification 1 of the first embodiment) In the first embodiment, the user terminal 100 displayed evaluation values ​​for water within a predetermined wavelength range. However, the user terminal 100 in the modified example 1 of the first embodiment displays evaluation values ​​for water in multiple different wavelength ranges side by side. Specifically, the user terminal 100 performs the setting and evaluation processes described above for each of the multiple wavelength ranges, thereby displaying the evaluation values ​​for water for each of the multiple wavelength ranges on the display 161.

[0075] Figure 8 shows an example of a display configuration according to Modification 1 of the First Embodiment. Table V3 in Figure 8 shows evaluation values ​​for six types of water, A through F, for each wavelength range. In Table V3 of the First Embodiment, "entire range" refers, for example, to a wavelength range that includes the UVC range to the visible range.

[0076] In Modification 1 of the First Embodiment, evaluation values ​​are shown for six types of water, A through F, across the entire range, UVC range, UVB range, UVA range, and visible range. Water A is domestic wastewater set to the first standard value, and its evaluation value is "0" in all wavelength ranges. Water F is treated water set to the second standard value, and its evaluation value is "100" in all wavelength ranges. Furthermore, if the evaluation value is in the range of "0" to "25", the background color is displayed in red; if the evaluation value is in the range of "26" to "74", the background color is displayed in yellow; and if the evaluation value is in the range of "75" to "100", the background color is displayed in green. For example, an evaluation value in the range of "0" to "25" indicates low water quality (hereinafter also referred to as "low"). An evaluation value in the range of "26" to "74" indicates standard water quality (hereinafter also referred to as "medium"). Furthermore, if the evaluation value is in the range of "75" to "100", it indicates high water quality (hereinafter also referred to as "high"). Note that the evaluation value of water set as the standard value may be hidden from display.

[0077] As shown in Figure 8, the water quality of water B through E is displayed side-by-side with numerical values ​​comparing it to the water quality of water A and F for each of several different wavelength ranges, making it easy to compare the water quality status for each different wavelength range. Furthermore, the water quality status can be grasped at a glance by displaying each predetermined numerical range with a different background color.

[0078] The user terminal 100 of Modification 1 of the first embodiment displays evaluation values ​​in the UVC range, UVB range, UVA range, and visible range, within the wavelength range from the ultraviolet region to the visible region. Therefore, with the user terminal 100 of this embodiment, the water quality of the water being evaluated can be understood in more detail and specifically. With the user terminal 100 of this embodiment, for example, if the evaluation value of the water being evaluated is low in the UVC range but high in the visible range, it can be understood that even if it appears transparent to the naked eye, there is a high possibility that organic matter, etc., is present.

[0079] (Modification 2 of the first embodiment) In the modified example 2 of the first embodiment, the user terminal 100 displays the result of determining whether the water to be evaluated is of a quality suitable for a predetermined use. As an example, the user terminal 100 displays the result of determining whether the index value of the water to be evaluated is within the range of predetermined index values ​​for each predetermined use. The result of determining whether the water is of a quality suitable for a predetermined use is an example of an "evaluation value".

[0080] Figure 9 shows an example of a display configuration according to Modification 2 of the First Embodiment. The display screen V4 shown in Figure 9 displays icons indicating the intended use of the water being evaluated, as well as the results of the determination of whether or not it can be used for each intended use. In Modification 2 of the First Embodiment, as an example, it is displayed whether or not it can be used for cultivation, contact, non-contact, and toilet flushing. Cultivation uses are indicated, for example, by icons of a leaf and the tip of a shower, and an "OK" rating is displayed if the water quality is suitable for safe use. Cultivation uses include growing plants and watering home gardens. Contact uses are indicated by a shower icon, and an "NG" rating is displayed if the water quality is unsuitable for contact uses. Contact uses include showers and hand washing, which involve direct contact with human skin. Non-contact uses are represented by a washing machine icon, and an "OK" rating is displayed if the water quality is suitable for non-contact use. Non-contact uses include laundry, automatic dishwashers, and cleaning equipment, which do not involve direct contact with human skin. Furthermore, toilet flushing uses are indicated by a toilet icon, and an "OK" rating is displayed if the water quality is suitable for use as toilet flushing water. Toilet flushing uses include toilet flushing water and drainage, etc. The suitability of use may also be indicated by symbols such as "○" and "×". The number of uses displayed does not need to be more than one. Additionally, the system may display uses selected by the user.

[0081] By displaying icons indicating the intended use and the results of the approval or rejection of each use, the general public can more intuitively understand the water quality assessment.

[0082] (Modification 3 of the first embodiment) In the modified example 3 of the first embodiment, the user terminal 100 displays detailed information about the water being evaluated.

[0083] Figure 10 shows an example of a display configuration according to Modification 3 of the First Embodiment. The display screen V5 shown in Figure 10 displays the monitoring results within a predetermined wavelength range, the estimated water quality level, and the overall water condition judged from the water quality level, etc., for the water being evaluated. Warnings and suggestions for necessary countermeasures may also be displayed. Suggestions for necessary countermeasures include, for example, guidance on maintenance for malfunctions in the water treatment equipment and facilities.

[0084] In Modification 3 of the First Embodiment, as an example, the overall score (Water Quality Index) is displayed as 88 / 100. The overall score in the First Embodiment is the evaluation value of the water being evaluated, and a higher number indicates higher water quality. In addition, the water quality evaluation in the UVA range is displayed as high, the water quality evaluation in the UVB range is displayed as low, and the water quality evaluation in the UVC range is displayed as medium. Furthermore, "Suspicion of Nitrate Presence" is displayed as the state of the water as comprehensively judged from the water quality evaluation in a predetermined wavelength range. The state of the water as comprehensively judged from the water quality evaluation in a predetermined wavelength range is displayed by referring to a message determined according to the water quality evaluation in each wavelength range, such as the UVA range, UVB range, and UVC range. In addition, a graph showing the spectral data being measured is displayed. Note that by pressing the line graph icon, data showing the time series trend may be displayed. Also, by pressing the calendar icon, data for a specified date may be displayed. As an example, by pressing the line graph icon, a line graph showing the time series data of the overall score or the change in the monitored component is displayed.

[0085] Furthermore, depending on the water conditions (for example, if there is a suspicion of nitrate presence), warnings and suggested countermeasures may be displayed. An example of a warning message would be, "The UVC score is low, so there is a possibility that nitrate is leaking out." An example of a countermeasure message would be, "Please conduct a thorough water quality test," or "There is a possibility that the device membrane is broken somewhere, so please inspect it."

[0086] In this way, by displaying detailed information about the water being evaluated, users can gain a more detailed understanding of the water's quality. Furthermore, the display of suggested countermeasures allows users to take immediate action.

[0087] [Other embodiments] The water quality evaluation system 10 of the above embodiment has been described in the case where evaluation values ​​for different types of water are displayed side by side. However, the user terminal 100 of this embodiment is not limited to this, and may also be configured to display evaluation values ​​for the same water at different stages. In this embodiment, for example, optical sensors 200 may be installed upstream and downstream of the water treatment system, and the evaluation values ​​of the influent water flowing into the water treatment system and the evaluation values ​​of the treated water treated by the water treatment system may be displayed side by side and used for feedforward control or feedback control. Therefore, with the water quality evaluation system 10 of this embodiment, the user can concretely understand the changes in the water quality of the same water. Furthermore, with the water quality evaluation system 10 of this embodiment, the processing capacity of the water treatment system can be evaluated.

[0088] [Second Embodiment] In the first embodiment of the water quality evaluation system 10, the user terminal 100 output an evaluation value of the water being evaluated based on the measurement results measured by the optical sensor 200. In the second embodiment of the water quality evaluation system 10, the server device 300 is characterized by calculating a monetary amount based on the evaluation value of the water being evaluated. The differences from the first embodiment will be explained below.

[0089] In the second embodiment of the water quality evaluation system 10, the server device 300 calculates the sewage treatment costs related to factory wastewater and bills the factory operator who discharged the factory wastewater for the calculated sewage treatment costs. Here, the amount calculated by the server device 300 is not limited to sewage treatment costs, but may be any amount that varies depending on the water quality, such as wastewater treatment fees charged by wastewater treatment companies, penalties for discharge into rivers, etc., and environmental load taxes. Furthermore, the water to be evaluated is not limited to factory wastewater, but may be any type of water, such as domestic wastewater and wastewater from commercial facilities. In addition, the recipient of the calculated amount is not limited to the factory operator and may be changed as appropriate depending on the type of calculated amount and the type of water to be evaluated. Sewage treatment costs are an example of "treatment costs".

[0090] (Overall structure) Figure 11 is a block diagram showing an example of the schematic configuration of a water quality evaluation system 10 according to the second embodiment. As shown in Figure 11, the water quality evaluation system 10 of the second embodiment is composed of a user terminal 100, an optical sensor 200, a water volume sensor 220, and a server device 300. The water quality evaluation system 10 of the second embodiment is an example of a "money calculation system".

[0091] In the second embodiment, the user terminal 100 calculates an evaluation value regarding the water quality of the factory wastewater measured by the optical sensor 200 and transmits it to the server device 300. The user terminal 100 also transmits the volume of the factory wastewater measured by the water volume sensor 220 to the server device 300.

[0092] In the second embodiment, the optical sensor 200 measures the water quality of factory wastewater and outputs the measurement results to the user terminal 100. Alternatively, the measurement results obtained by the optical sensor 200 may be transmitted directly to the server device 300.

[0093] The water volume sensor 220 is a sensor that measures the volume of water being evaluated. In the second embodiment, the water volume sensor 220 measures the volume of factory wastewater and outputs the measurement result to the user terminal 100. Alternatively, the measurement result measured by the water volume sensor 220 may be transmitted directly to the server device 300.

[0094] The server device 300 acquires the evaluation value and volume of factory wastewater transmitted from the user terminal 100. The server device 300 then calculates an amount corresponding to the evaluation value of the factory wastewater. The server device 300 may also calculate an amount corresponding to the volume of factory wastewater. The server device 300 may also directly acquire the measurement results from various sensors. If the server device 300 directly acquires the measurement results from various sensors, the server device 300 may take on the function of the user terminal 100 (i.e., calculating the evaluation value). The server device 300 is, as an example, a computer owned by a sewage treatment company that processes factory wastewater.

[0095] (Server device) Figure 12 is a block diagram showing an example of the hardware configuration of a server device 300 according to the second embodiment. The server device 300 is a so-called computer. The functions of the CPU 310, ROM 320, RAM 330, storage 340, communication I / F 350, input / output I / F 360, and bus 370 of the server device 300 are the same as those of the CPU 110, ROM 120, RAM 130, storage 140, communication I / F 150, input / output I / F 160, and bus 170 of the user terminal 100 described above. The differences from the user terminal 100 described above will be explained below.

[0096] ROM 320 stores data including the calculation program 321. The calculation program 321 is a program that executes various processes, including those described later. When the calculation program 321 is executed, the server device 300 uses various hardware resources to execute processes based on the calculation program 321.

[0097] Storage 340 stores data, including the pricing table 341.

[0098] The fee table 341 is a table that stores amounts corresponding to the evaluation value of the water being evaluated. In this embodiment, the fee table 341 stores the sewage treatment cost per unit volume of water according to the rank of the evaluation value. Here, the rank of the evaluation value is a rank having multiple stages determined according to the evaluation value calculated by the user terminal 100. For example, the higher the rank of the evaluation value (i.e., the higher the water quality), the lower the sewage treatment cost is set. Note that the amount stored in the fee table 341 may be a surcharge or discount amount according to the evaluation value of the water being evaluated.

[0099] Furthermore, the fee table 341 of this embodiment stores not only the sewage treatment cost per unit volume corresponding to the evaluation value rank, but also the range of evaluation values ​​associated with each rank. For example, an evaluation value of 0 or more and 25 or less may be assigned the "low" rank, 26 or more and 74 or less the "medium" rank, and 75 or more and 100 or less the "high" rank. If the evaluation value falls outside the range, it may be assigned to the lowest or highest rank according to a predetermined rule. Note that the correspondence between the evaluation value range and the evaluation value rank is not limited to the fee table 341, but may also be stored in another table.

[0100] (Server device functional configuration) Figure 13 is a block diagram showing an example of the functional configuration of the server device 300 according to the second embodiment. As shown in Figure 13, the server device 300 functions as an evaluation value acquisition unit 310A, a water volume acquisition unit 310B, an amount calculation unit 310C, and an amount billing unit 310D, with the CPU 310 executing the calculation program 321.

[0101] The evaluation value acquisition unit 310A has the function of acquiring evaluation values ​​related to the water quality of the water being evaluated. Specifically, the evaluation value acquisition unit 310A acquires evaluation values ​​of the water being evaluated output from the user terminal 100. As an example, the evaluation value acquisition unit 310A acquires evaluation values ​​of the water quality measured by the optical sensor 200 via the network N.

[0102] The water volume acquisition unit 310B has the function of acquiring the water volume of the water being evaluated. Specifically, the water volume acquisition unit 310B acquires the water volume of the water being evaluated as measured by the water volume sensor 220. As an example, the water volume acquisition unit 310B acquires the total amount of wastewater discharged from the water being evaluated over a predetermined period.

[0103] The amount calculation unit 310C has the function of calculating an amount based on the evaluation value. Specifically, the amount calculation unit 310C calculates an amount according to the evaluation value acquired by the evaluation value acquisition unit 310A. For example, the amount calculation unit 310C calculates an amount according to the average, maximum, minimum value of the evaluation value over a predetermined period, or the evaluation value at a predetermined time. The amount calculation unit 310C may also calculate an amount according to the rank of the evaluation value.

[0104] Furthermore, the amount calculation unit 310C may calculate an amount based on the amount of water to be evaluated acquired by the water volume acquisition unit 310B. As an example, the amount calculation unit 310C calculates an amount based on the amount of water used or discharged from the water to be evaluated during a predetermined period.

[0105] The billing unit 310D has the function of billing the calculated amount. Specifically, the billing unit 310D bills the business operator involved in the evaluation of the amount calculated by the calculation unit 310C. For example, the billing unit 310D generates billing information with miscellaneous expenses added to the calculated amount and transmits this billing information to the business operator that discharged the water subject to evaluation.

[0106] (Calculation process) Figure 14 is a flowchart showing an example of the calculation process according to the second embodiment. In this embodiment, the calculation process is realized when the CPU 310 of the server device 300 reads the calculation program 321 stored in the ROM 320 or storage 340, loads it into the RAM 330, and executes it. The calculation process is, as an example, executed at the time of billing for sewage treatment costs for factory wastewater.

[0107] In step S300 of Figure 14, the CPU 310 acquires evaluation values ​​for factory wastewater over a predetermined period. Specifically, the CPU 310 acquires evaluation values ​​for factory wastewater based on measurement results from the optical sensor 200 transmitted from the user terminal 100. As an example, the CPU 310 acquires the average value of the evaluation values ​​over a predetermined billing period (e.g., one month).

[0108] In the second embodiment, the user terminal 100 may calculate an evaluation value using the average absorbance value calculated from water of the minimum quality acceptable for discharge into the sewer system as factory wastewater as the first reference value, and the average absorbance value calculated from treated factory wastewater as the second reference value. The calculated evaluation value is, as an example, the overall score shown on the display screen V5 (see Figure 10). Furthermore, the first standard value may be set based on the measurement results of standard water that meets the standards for permissible discharge into sewage systems, or it may be calculated and set based on the correspondence between the standard value and absorbance. The second standard value may be set based on the measurement results of treated water treated by water treatment facilities within the factory, or it may be calculated and set based on the correspondence between the target water quality value required for the treated water and absorbance.

[0109] In step S301, the CPU 310 identifies the rank of the acquired evaluation value. Specifically, the CPU 310 identifies the rank of the factory wastewater evaluation value acquired in step S300. For example, the CPU 310 identifies, by referring to the fee table 341, that the average value of the factory wastewater evaluation value for a predetermined billing period is of the "medium" rank.

[0110] In step S302, the CPU 310 obtains the total amount of factory wastewater discharged over a predetermined period. Specifically, the CPU 310 obtains the amount of factory wastewater measured by the water volume sensor 220, which is transmitted from the user terminal 100. As an example, the CPU 310 obtains the total amount of wastewater discharged over a predetermined billing period.

[0111] In step S303, the CPU 310 calculates the sewage treatment cost for factory wastewater based on the evaluation value rank and the total wastewater volume. Specifically, the CPU 310 calculates the sewage treatment cost based on the evaluation value rank identified in step S301 and the total wastewater volume obtained in step S302. As an example, the CPU 310 obtains the sewage treatment cost per unit volume corresponding to the evaluation value rank of the factory wastewater by referring to the rate table 341. Then, the CPU 310 calculates the sewage treatment cost for a predetermined billing period by multiplying the obtained sewage treatment cost per unit volume by the total wastewater volume. The CPU 310 may also calculate a surcharge or discount on the sewage treatment cost for a predetermined billing period.

[0112] In step S304, the CPU 310 bills the factory operator for the calculated wastewater treatment costs. Specifically, the CPU 310 generates billing information based on the wastewater treatment costs calculated in step S303 and sends this billing information to the factory operator. Then, the CPU 310 terminates the calculation process.

[0113] (Summary of the second embodiment) In the water quality evaluation system 10 of the second embodiment, the user terminal 100 sets the average absorbance value based on the measurement results obtained by measuring water of the minimum quality acceptable for discharge into the sewer system as factory wastewater using the optical sensor 200 as the first reference value. The user terminal 100 also sets the average absorbance value based on the measurement results obtained by measuring treated factory wastewater using the optical sensor 200 as the second reference value. The user terminal 100 then outputs evaluation values ​​corresponding to the first and second reference values ​​based on the measurement results obtained by measuring the factory wastewater using the optical sensor 200. Furthermore, the server device 300 obtains the evaluation value of the factory wastewater from the user terminal 100 and calculates the sewage treatment cost based on the evaluation value. Therefore, according to the water quality evaluation system 10 of this embodiment, it is possible to calculate sewage treatment costs based on an intuitively understandable water quality evaluation.

[0114] In the second embodiment of the water quality evaluation system 10, the user terminal 100 calculates the evaluation value of factory wastewater as a comprehensive score normalized within the range of the first and second standard values. Therefore, according to the water quality evaluation system 10 of this embodiment, it is possible to quickly and intuitively grasp what level of water quality the factory wastewater is within the standards, and users can easily understand the appropriateness of sewage treatment costs.

[0115] In the second embodiment of the water quality evaluation system 10, the server device 300 calculates sewage treatment costs by referring to the fee table 341 based on the rank of the evaluation value identified according to the evaluation value. Therefore, according to the water quality evaluation system 10 of this embodiment, it is possible to calculate the amount according to the water quality level, and to set costs according to water quality clearly and fairly.

[0116] In the second embodiment of the water quality evaluation system 10, the server device 300 acquires the average value of the evaluation value of factory wastewater during a predetermined billing period (for example, one month), and calculates the amount based on the rank of the evaluation value of the factory wastewater and the total amount of wastewater during that billing period. Therefore, according to the water quality evaluation system 10 of this embodiment, stable billing on a period basis becomes possible, and wastewater treatment costs can be calculated in a manner suitable for operation.

[0117] In the second embodiment of the water quality evaluation system 10, the server device 300 bills the factory operator of the factory that discharged the factory wastewater for the calculated wastewater treatment costs. Therefore, according to the water quality evaluation system 10 of this embodiment, the process from calculation to billing can be carried out in a single step, thereby reducing the workload of billing operations.

[0118] The water quality evaluation system 10 of the second embodiment acquires the total volume of factory wastewater measured by the water volume sensor 220 and calculates an amount based on that total volume of wastewater. Therefore, according to the water quality evaluation system 10 of this embodiment, it is possible to calculate an amount that takes into account not only water quality but also wastewater volume.

[0119] Furthermore, the configurations of the water quality evaluation system 10, user terminal 100, optical sensor 200, and server device 300 described in the above embodiment are examples and may be modified as needed without departing from the main purpose.

[0120] Furthermore, the program processing flow described in the above embodiment is just one example, and unnecessary steps may be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0121] Furthermore, in the above embodiment, each process that the CPU reads and executes the software (program) may be executed by various processors other than the CPU. Examples of processors in this case include PLDs (Programmable Logic Devices) such as FPGAs (Field-Programmable Gate Arrays) whose circuit configuration can be changed after manufacturing, and dedicated electrical circuits such as ASICs (Application Specific Integrated Circuits) which have a circuit configuration specifically designed to execute a particular process.

[0122] Furthermore, the operation of the processor in the above embodiment may not be performed by a single processor, but may be performed by multiple processors located in physically separate locations working together. Also, the order of the processor operations is not limited to the order described in the above embodiment, but may be changed as appropriate.

[0123] Furthermore, although the above embodiment describes a configuration in which the information processing program is pre-stored (installed) in ROM, the invention is not limited to this. The program may be provided in a form recorded on a recording medium such as a CD-ROM (Compact Disc Read Only Memory), DVD-ROM (Digital Versatile Disc Read Only Memory), or USB (Universal Serial Bus) memory. Alternatively, the program may be provided in a form that can be downloaded from an external device via a network. Moreover, this disclosure is also applicable to programs and program products. [Explanation of symbols]

[0124] 10. Water Quality Assessment System (Cost Calculation System) 100 user terminals 110 CPU (Processor) 110A Acquisition Department 110B Index Value Calculation Unit 110C Setting section 110D Evaluation Value Calculation Unit 110E Display Control Unit 121 Evaluation Program 140 storage 200 Optical Sensors 210 Control Unit 211 Light source 212 Spectrometer 213 Detectors 220 Water volume sensor 300 Server Devices 310 CPU (Processor) 310A Evaluation Value Acquisition Unit 310B Water quantity acquisition part 310C Amount Calculation Department 310D Amount billing department 321 Calculation Program 340 storage 341 Price Table

Claims

1. Equipped with one or more processors, The aforementioned processor, Based on the measurement results obtained by measuring the first water sample using an optical sensor for measuring water quality, a first standard value for an indicator representing water quality is set. Based on the measurement results obtained by measuring at least a second water sample with higher water quality than the first water sample using the optical sensor, a second reference value for the index is set. Based on the measurement results obtained by measuring the water to be evaluated using the optical sensor, an evaluation value corresponding to the first reference value and the second reference value is output. The optical sensor performs measurements within a predetermined wavelength range. The index is a representative value of the measurement results for each of the multiple wavelengths within the predetermined wavelength range. Calculate the amount based on the aforementioned evaluation value. A price calculation system.

2. The aforementioned processor, The aforementioned evaluation value is calculated as a relative value to the first reference value and the second reference value. The amount calculation system according to claim 1.

3. The aforementioned processor, The aforementioned amount is calculated according to the evaluation value level. The amount calculation system according to claim 1.

4. The aforementioned processor, The aforementioned amount is calculated according to the aforementioned evaluation value over a predetermined period. The amount calculation system according to claim 1.

5. The aforementioned amount is the cost of treating the water subject to evaluation. The amount calculation system according to claim 1.

6. The aforementioned processor, The amount calculated above will be billed to the business operator that discharged the water subject to evaluation. The amount calculation system according to claim 1.

7. The aforementioned processor, The amount of money is calculated based on the amount of water to be evaluated, as measured by a water volume sensor that measures the amount of water. A monetary calculation system according to any one of claims 1 to 6.

8. Based on the measurement results obtained by measuring the first water sample using an optical sensor for measuring water quality, a first standard value for an indicator representing water quality is set. Based on the measurement results obtained by measuring at least a second water sample with higher water quality than the first water sample using the optical sensor, a second reference value for the index is set. Based on the measurement results obtained by measuring the water to be evaluated using the optical sensor, an evaluation value corresponding to the first reference value and the second reference value is output. The optical sensor performs measurements within a predetermined wavelength range. The index is a representative value of the measurement results for each of the multiple wavelengths within the predetermined wavelength range. Calculate the amount based on the aforementioned evaluation value. A method for calculating an amount of money, in which one or more processors perform the processing.

9. Based on the measurement results obtained by measuring the first water sample using an optical sensor for measuring water quality, a first standard value for an indicator representing water quality is set. The optical sensor measures at least a second water sample with higher water quality than the first water sample. Based on the measurement results obtained, a second reference value for the index is set. Based on the measurement results obtained by measuring the water to be evaluated using the optical sensor, an evaluation value corresponding to the first reference value and the second reference value is output. The optical sensor performs measurements within a predetermined wavelength range. The index is a representative value of the measurement results for each of the multiple wavelengths within the predetermined wavelength range. Calculate the amount based on the aforementioned evaluation value. A program for calculating amounts, which is used to perform processing on one or more processors.

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