Information processing apparatus, information processing method, program, and water treatment system
Patent Information
- Application Number
- JP2023132853
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-08-17
- Publication Date
- 2025-02-28
AI Technical Summary
【0010】 本発明においては、測定対象に変化が生じた箇所を容易に特定することができる。
Smart Images

Figure 2025027753000001_ABST
Abstract
Description
[Technical field]
[0001] The present invention relates to an information processing device, an information processing method, a program, and a water treatment system. [Background technology]
[0002] In recent years, in order to intuitively grasp water quality values in water treatment facilities, devices have been devised that store measurement data for each installation point or measurement point of a measuring device in a memory unit, and generate and display diagrams, graphs, or charts based on the measurement data for the installation point or measurement point of a measuring device selected from the stored measurement data (see, for example, Patent Document 1). [Prior art documents] [Patent documents]
[0003] [Patent Document 1] JP 2019-10613 A Summary of the Invention [Problem to be solved by the invention]
[0004] In the case where the measurement object is something that circulates (moves), when a certain change occurs in the measurement object, the timing at which the change is detected differs for each measurement point. For example, when the measurement object is water to be treated or treated water of a water treatment device provided in a water treatment system, the water treatment system has a residence time during which the water to be treated or treated water stays in the water treatment system, a circulation time during which the water to be treated or treated water circulates in the water treatment system, and a time (period) during which the water treatment device stops operating. For example, when comparing time series data at a certain measurement point in a water treatment system with time series data at other measurement points in order to investigate (identify) the cause of a change in the measurement object at a specific time, a time delay may occur in the time series data between the measurement points. Therefore, it may be difficult to identify the point at which the change occurred in the measurement object.
[0005] An object of the present invention is to provide an information processing device, an information processing method, a program, and a water treatment system that can easily identify the location where a change has occurred in a measurement target. [Means for solving the problem]
[0006] The information processing device of the present invention comprises: An acquisition unit that acquires time-series data of water information at each of a plurality of water information acquisition points of the water treatment system; a time axis adjustment unit that adjusts a time axis of the first time series data at the first water information acquisition point acquired by the acquisition unit, using a delay time that is a time from when a measurement object arrives at a first water information acquisition point to when a second water information acquisition point is reached among the plurality of water information acquisition points; The apparatus further includes a comparison unit that compares the second time series data at the second water information acquisition point acquired by the acquisition unit with the first time series data whose time axis has been adjusted by the time axis adjustment unit.
[0007] The information processing method of the present invention further comprises: A process of acquiring time series data of water information at each of a plurality of water information acquisition points; a process of adjusting a time axis of the first time series data at the acquired first water information acquisition point by using a time from a first water information acquisition point to a second water information acquisition point among the plurality of water information acquisition points as a delay time; A process of comparing the acquired second time series data at the second water information acquisition point with the first time series data whose time axis has been adjusted is performed.
[0008] In addition, the program of the present invention is On the computer, A step of acquiring time series data of water information at each of a plurality of water information acquisition points; a step of adjusting a time axis of the first time series data at the acquired first water information acquisition point by using a time from a first water information acquisition point to a second water information acquisition point among the plurality of water information acquisition points as a delay time; and comparing the acquired second time series data at the second water information acquisition point with the first time series data whose time axis has been adjusted.
[0009] In addition, the water treatment system of the present invention includes: A water treatment device and an information treatment device are provided. an acquisition unit that acquires time-series data of water information at each of a plurality of water information acquisition points corresponding to each of the plurality of water treatment devices; a time axis adjustment unit that adjusts a time axis of the first time series data at the first water information acquisition point acquired by the acquisition unit, using a delay time that is a time from when a measurement object arrives at a first water information acquisition point to when a second water information acquisition point is reached among the plurality of water information acquisition points; The apparatus further includes a comparison unit that compares the second time series data at the second water information acquisition point acquired by the acquisition unit with the first time series data whose time axis has been adjusted by the time axis adjustment unit. Effect of the Invention
[0010] In the present invention, the location where a change has occurred in the measurement target can be easily identified. [Brief description of the drawings]
[0011] [Figure 1] FIG. 1 is a diagram showing a first embodiment of a water treatment system of the present invention. [Diagram 2] 2 is a diagram illustrating an example of components included in the information processing device illustrated in FIG. 1. [Diagram 3] 3 is a diagram showing an example of an output mode of time-series data in an output unit shown in FIG. 2. FIG. [Figure 4] 2 is a flowchart illustrating an information processing method in the information processing device shown in FIG. [Diagram 5] FIG. 2 is a diagram showing a second embodiment of a water treatment system according to the present invention. [Figure 6] 6 is a diagram illustrating an example of components included in the information processing device illustrated in FIG. 5. [Figure 7]6 is a flowchart for explaining an information processing method in the information processing device shown in FIG. 5. [Figure 8] FIG. 13 is a diagram showing a third embodiment of the water treatment system of the present invention. [Figure 9] 9 is a diagram illustrating an example of components included in the information processing device illustrated in FIG. 8. [Figure 10] 11 is a diagram showing an example of an output mode of time-series data in the output unit shown in FIG. 10. FIG. [Figure 11] 11 is a diagram showing another example of an output mode of time-series data in the output unit shown in FIG. [Figure 12] 9 is a flowchart for explaining an information processing method in the information processing device shown in FIG. 8. [Figure 13] FIG. 1 is a diagram showing a first specific example of a water treatment system of the present invention. [Figure 14] FIG. 2 is a diagram showing a second specific example of a water treatment system according to the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0012] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. (First embodiment)
[0013] FIG. 1 is a diagram showing a first embodiment of a water treatment system of the present invention. As shown in FIG. 1, a water treatment system 10 in this embodiment includes an information processing device 100, a plurality of water treatment devices 200-1 to 200-4, and status acquisition devices 210-1 to 210-4. The plurality of water treatment devices 200-1 to 200-4 are connected in series with each other along a pipe through which water to be treated or treated water flows. The information processing device 100 and the status acquisition devices 210-1 to 210-4 may be directly connected to each other, or may be connected to each other via a communication network. The information processing device 100 and the status acquisition devices 210-1 to 210-4 may be connected to each other so as to be able to communicate wirelessly or via a wire.
[0014] Each of the water treatment devices 200-1 to 200-4 is a unit operation means for sequentially performing a predetermined treatment on the water to be treated that is supplied. Each of the water treatment devices 200-1 to 200-4 is, for example, a water treatment device such as an MMF (microfiltration device), an ACF (activated carbon adsorption device), a resin tower constituting a 2B3T, an RO (reverse osmosis membrane separation device), an UV (ultraviolet oxidation device), an MDG (membrane degasification device), a CP (ion exchange resin filling device), an UF (ultrafiltration device), or an EDI (electrically regenerated pure water device), or a tank for storing treated water. Each of the water treatment devices 200-1 to 200-4 may be provided with a tank for storing the water to be treated that is supplied from the previous stage or the treated water that has been treated by the water treatment device itself. FIG. 1 shows an example in which the water treatment system 10 is provided with four water treatment devices, but the number is not limited. The "water quality" described below may be, for example, TOC (total organic carbon), ion concentration such as pH, electrical conductivity, or the like.
[0015] Each of the state acquirers 210-1 to 210-4 acquires information on the operation process of the water treatment devices 200-1 to 200-4 and information (water information) on liquids such as water that are the measurement targets in each of the water treatment devices 200-1 to 200-4 in a chronological order. The transition of the operation process of the water treatment devices 200-1 to 200-4 is performed by controlling the open / close state of on-off valves (not shown) provided at various locations to control (select) the inflow path of the water to be treated or the treated water to the water treatment devices 200-1 to 200-4 and the outflow path of the water to be treated or the treated water from the water treatment devices 200-1 to 200-4. If the water treatment devices 200-1 to 200-4 are turbidity removal membranes, the transition of the operation process may be, for example, a water passing process → backwashing process → water passing process → chemical immersion backwashing process. If the water treatment devices 200-1 to 200-4 are resins, the transition of the operation process may be, for example, a transition from a water sampling process to a regeneration process to a standby process. In addition, each of the state acquirers 210-1 to 210-4 may acquire, in a time series, the control status (for example, start ON / OFF information) of a pump that draws up the measurement target from a tank based on the level (remaining amount) of the tank in which the measurement target is stored. Also, each of the state acquirers 210-1 to 210-4 may acquire, in a time series, information on the piping that connects the water treatment devices 200-1 to 200-4. Examples of data on the liquid such as water that is the measurement target include the water quality, pressure, flow rate, and temperature of the water that is the measurement target. The time series data acquired by the state acquirers 210-1 to 210-4 is transmitted to the information processing device 100 together with time information indicating the time of acquisition. The transmitted time series data may be data on the operation process, water quality, pressure, flow rate, temperature, etc., alone or in any combination thereof. Furthermore, each of the state acquirers 210-1 to 210-4 may transmit data of the liquid, such as water, to be measured in association with time information indicating the time when the data was measured (acquired), to the information processing device 100. In this case, the information processing device 100 creates time-series data based on the data of the liquid, such as water, to be measured and the time information transmitted from each of the state acquirers 210-1 to 210-4.The timing at which each of status acquirers 210-1 to 210-4 transmits the time series data to information processing device 100 may be the timing at which each of status acquirers 210-1 to 210-4 acquires data, may be a predetermined timing, or may be a timing requested from an outside source such as information processing device 100, and is not particularly limited. Furthermore, each of status acquirers 210-1 to 210-4 may acquire an alarm issued for water treatment devices 200-1 to 200-4 and its cause, and reflect that in the time series data.
[0016] The information processing device 100 adjusts the time axis of the time series data transmitted from each of the state obtainers 210-1 to 210-4 and outputs the adjusted data. The information processing device 100 may be any device having a communication function, a calculation function, and an output function, and may be, for example, a PC (Personal Computer) or a mobile terminal such as a smartphone. The information processing device 100 is preferably provided with a storage unit for storing information.
[0017] Fig. 2 is a diagram showing an example of components included in the information processing device 100 shown in Fig. 1. As shown in Fig. 2, the information processing device 100 shown in Fig. 1 has an acquisition unit 110, a time axis adjustment unit 120, a comparison unit 130, and an output unit 140. Note that Fig. 2 shows main elements in this embodiment among the components included in the information processing device 100 shown in Fig. 1.
[0018] The acquisition unit 110 acquires time series data at each water information acquisition point (measurement point). Specifically, the acquisition unit 110 receives and acquires the time series data transmitted from the state acquisition devices 210-1 to 210-4. The acquisition unit 110 outputs the acquired time series data to the time axis adjustment unit 120.
[0019] The time axis adjustment unit 120 adjusts the time axis of the time series data output from the acquisition unit 110. Specifically, the time axis adjustment unit 120 delays (slides) the time axis of the time series data output from the acquisition unit 110 by a predetermined time. Here, the predetermined time (hereinafter referred to as delay time) is set in advance. A plurality of delay times may be set. For example, the time until the measurement object such as water arrives from the water information acquisition point (water information acquisition point of the state acquisition unit 210-1) in the water treatment device 200-1 to the water information acquisition point (water information acquisition point of the state acquisition unit 210-2) in the water treatment device 200-2 is set as one delay time. Also, the time until the measurement object such as water arrives from the water information acquisition point (water information acquisition point of the state acquisition unit 210-1) in the water treatment device 200-1 to the water information acquisition point (water information acquisition point of the state acquisition unit 210-3) in the water treatment device 200-3 is set as one delay time. Also, the time until the measurement object such as water arrives from the water information acquisition point in the water treatment device 200-1 (the water information acquisition point of the status acquirer 210-1) to the water information acquisition point in the water treatment device 200-4 (the water information acquisition point of the status acquirer 210-4) is set as one delay time. Also, the time until the measurement object such as water arrives from the water information acquisition point in the water treatment device 200-2 (the water information acquisition point of the status acquirer 210-2) to the water information acquisition point in the water treatment device 200-3 (the water information acquisition point of the status acquirer 210-3) is set as one delay time. Also, the time until the measurement object such as water arrives from the water information acquisition point in the water treatment device 200-2 (the water information acquisition point of the status acquirer 210-2) to the water information acquisition point in the water treatment device 200-4 (the water information acquisition point of the status acquirer 210-4) is set as one delay time. Furthermore, the time it takes for a measurement target such as water to reach a water information acquisition point in water treatment device 200-3 (water information acquisition point of status acquirer 210-3) to a water information acquisition point in water treatment device 200-4 (water information acquisition point of status acquirer 210-4) is set as one delay time. These delay times may be values calculated in advance by comparing the time series data acquired by each of status acquirers 210-1 to 210-4 with each other.When multiple delay times are set in advance, the time axis adjustment unit 120 may select one of the multiple delay times set in advance based on an operation received from outside the information processing device 100. The delay time may be stored in a storage means such as a memory included in the information processing device 100, or may be stored in another device. The time axis adjustment unit 120 outputs the time series data with the adjusted time axis to the output unit 140.
[0020] The comparison unit 130 compares multiple pieces of time series data at the water information acquisition points (measurement points) to be compared with each other. For example, the comparison unit 130 compares the time series data acquired by the state acquirer 210-1, the time axis of which has been adjusted by the time axis adjustment unit 120, with the time series data acquired by the state acquirer 210-4.
[0021] The output unit 140 outputs the time series data with the changed time axis output from the time axis adjustment unit 120. The output mode of the output unit 140 may be display or printing. The output unit 140 may output the result of the comparison in the comparison unit 130. The output mode of the comparison result may be, for example, a mode in which the time series data compared by the comparison unit 130 are displayed on the same time axis.
[0022] FIG. 3 is a diagram showing an example of an output mode of time series data in the output unit 140 shown in FIG. 2. The time series data shown in FIG. 3 is, for example, temperature data. The upper diagram of FIG. 3 shows an example of time series data acquired by the state acquirer 210-1. The lower diagram of FIG. 3 shows an example of time series data in which the time axis of the time series data acquired by the state acquirer 210-1 is changed by the time axis adjustment unit 120. In FIG. 3, the above-mentioned delay time is T1. For example, when the delay time T is set as the time for the measurement target to reach the water information acquisition point of the state acquirer 210-4 from the water information acquisition point of the state acquirer 210-1, the time axis adjustment unit 120 delays (slides) the time axis of the time series data acquired by the state acquirer 210-1 by T1. For example, when there is a large change in the time series data acquired by the state acquirer 210-4 at time (t2+T1) shown in Fig. 3, if there is a similar large change in the time series data acquired by the state acquirer 210-1 at time (t2+T1) when the time axis adjustment unit 120 delays the time axis by T1, it can be inferred that the change in the time series data in the state acquirer 210-4 at time (t2+T1) is influenced by some kind of malfunction of the water treatment device 200-1 at time t2. On the other hand, when there is a large change in the time series data acquired by the state acquirer 210-4 at time (t1+T1) shown in Fig. 3, if there is no similar large change in the time series data acquired by the state acquirer 210-1 at time (t1+T1) when the time axis adjustment unit 120 delays the time axis by T1, it can be inferred that the change in the time series data in the state acquirer 210-4 at time (t1+T1) is influenced by some kind of malfunction in a stage subsequent to the water treatment device 200-1. Furthermore, by using the time series data of the operating processes (such as the on-off state of the on-off valves) of water treatment devices 200-1 to 200-4 acquired by status acquisition devices 210-1 to 210-4, it becomes easier to infer which part (process) is causing a change in the temperature of the object to be measured (water).
[0023] In addition, when the information processing device 100 includes a storage means, the storage means may store the time series data acquired by each of the state acquirers 210-1 to 210-4 and the time series data whose time axis has been adjusted by the time axis adjustment unit 120. In addition, the output unit 140 may transmit the time series data to another device so that the display as shown in Fig. 3 is performed on the other device.
[0024] An information processing method in the information processing device 100 shown in Fig. 1 will be described below. Fig. 4 is a flowchart for explaining the information processing method in the information processing device 100 shown in Fig. 1. Here, an example will be described in which the time series data acquired by the state acquirer 210-1 is the first time series data, the water information acquisition point of the state acquirer 210-1 is the first water information acquisition point, and the water information acquisition point of the state acquirer 210-4 is the second water information acquisition point. The selection of the time series data (water information acquisition point) is performed based on a predetermined operation received by the information processing device 100 from outside.
[0025] First, the acquisition unit 110 acquires the first time series data acquired by the state acquisition unit 210-1 (step S1). The time axis adjustment unit 120 acquires the delay time from the first water information acquisition point to the second water information acquisition point (step S2). At this time, the time axis adjustment unit 120 acquires the delay time from a storage means such as a memory provided in the information processing device 100 or from another device as described above.
[0026] Then, the time axis adjustment unit 120 adjusts the time axis of the first time series data acquired by the acquisition unit 110 using the acquired delay time (step S3). Specifically, for example, the time axis adjustment unit 120 delays the time axis of the first time series data acquired by the acquisition unit 110 by the acquired delay time. Next, the output unit 140 displays the first time series data whose time axis has been adjusted by the time axis adjustment unit 120 (step S4).
[0027] Thus, in this embodiment, the time axis of the time series data acquired at a first water information acquisition point (a preceding water information acquisition point) is changed (delayed) using a delay time set between the first water information acquisition point and a second water information acquisition point (a subsequent water information acquisition point) different from the first water information acquisition point. This makes it possible to acquire time series data that should be acquired at the second water information acquisition point (a subsequent water information acquisition point) from the time series data acquired at the first water information acquisition point (a preceding water information acquisition point) (i.e., time series data that would be acquired at the second water information acquisition point if no malfunction occurs in the measurement object between the first water information acquisition point and the second water information acquisition point). Moreover, by comparing the time series data acquired by delaying the time axis of the time series data acquired at the first water information acquisition point with the time series data actually acquired at the second water information acquisition point, it is possible to determine whether the cause of the defect in the measurement result (e.g., fluctuation in water quality, etc.) in the time series data acquired at the second water information acquisition point is due to the defect in the measurement result (e.g., fluctuation in water quality, etc.) in the time series data acquired at the first water information acquisition point. Specifically, for example, when an abnormality is found in the water quality measurement value at a specific time in the time series data acquired at the second water information acquisition point, the water quality measurement value at the specific time in the time series data is compared with the water quality measurement value at the specific time in the time series data acquired at the first water information acquisition point after delaying the time series data acquired at the first water information acquisition point by the delay time. In this way, it is possible to determine whether the abnormality in the water quality measurement value in the time series data acquired at the second water information acquisition point is due to (is influenced by) the abnormality in the water quality measurement value in the time series data acquired at the first water information acquisition point. Therefore, it is possible to easily identify the location where a change has occurred in the measurement target. In particular, in a water treatment system in which treatment is performed sequentially in a plurality of water treatment devices, a comparison can be made taking into consideration the residence time and treatment time occurring in each water treatment device. The time axis of the acquired time series data may be advanced by using a delay time set between the water information acquisition points. In this case, the time series data whose time axis is advanced is the time series data acquired at the subsequent water information acquisition point.This makes it possible to acquire the status and measurement results at the subsequent water information acquisition point according to the acquisition time at the previous water information acquisition point. By outputting time series data indicating the operation process of water treatment devices 200-1-200-4, pump control information, issued alarms, etc. transmitted from status acquirers 210-1-210-4 by information processing device 100, the cause of an abnormality in the water quality measurement value in the time series data can be easily identified. (Second embodiment)
[0028] FIG. 5 is a diagram showing a second embodiment of the water treatment system of the present invention. As shown in FIG. 5, the water treatment system 11 in this embodiment includes an information processing device 101, a plurality of water treatment devices 200-1 to 200-4, status acquirers 210-1 to 210-4, and measuring devices 220-1 to 220-4. The information processing device 101 and the status acquirers 210-1 to 210-4 may be directly connected to each other, or may be connected to each other via a communication network. The information processing device 101 and the status acquirers 210-1 to 210-4 may be connected to each other wirelessly or may be connected to each other via a wire. The information processing device 101 and the measuring devices 220-1 to 220-4 may be connected to each other wirelessly or may be connected to each other via a wire. The water treatment devices 200-1 to 200-4 and the status acquirers 210-1 to 210-4 are the same as those in the first embodiment.
[0029] The measuring devices 220-1 to 220-4 measure or detect the flow of the measurement object in each of the water treatment devices 200-1 to 200-4 and the operating status of each of the water treatment devices 200-1 to 200-4. The measuring devices 220-1 to 220-4 may be flow meters or water level gauges. For example, when the water treatment device 200-1 is a resin tower, the measuring device 220-1 may measure the flow rate of the treated water from the resin tower. When the water treatment device 200-2 is a tank, the measuring device 220-2 may measure the water level of the tank. When the water treatment device 200-4 is an EDI, the measuring device 220-4 may detect the operating status, such as whether the operation of the EDI is continued or interrupted. The data measured or detected by the measuring devices 220-1 to 220-4 is transmitted to the information processing device 101 together with time information indicating the time of measurement or detection.
[0030] Information processing device 101 adjusts the time axis of the time series data transmitted from each of state acquisition devices 210-1 to 210-4 and outputs the adjusted data. Information processing device 101 calculates the delay time for adjusting the time axis using the detection results transmitted from each of measuring devices 220-1 to 220-4, the specifications of water treatment devices 200-1 to 200-4, and the specifications of piping connecting each of water treatment devices 200-1 to 200-4. Information processing device 101 may be any device having a communication function, a calculation function, and an output function, and may be, for example, a PC or a mobile terminal such as a smartphone. Information processing device 101 is preferably provided with a storage unit for storing information.
[0031] Fig. 6 is a diagram showing an example of components included in the information processing device 101 shown in Fig. 5. As shown in Fig. 6, the information processing device 101 shown in Fig. 5 has an acquisition unit 111, a time axis adjustment unit 121, a comparison unit 130, an output unit 140, and a delay time calculation unit 151. The comparison unit 130 and the output unit 140 are the same as those in the first embodiment. Note that Fig. 6 shows main elements in this embodiment among the components included in the information processing device 101 shown in Fig. 5.
[0032] The acquiring unit 111 has a function of acquiring the results measured or detected by each of the measuring devices 220-1 to 220-4 in addition to the functions of the acquiring unit 110 in the first embodiment. Specifically, the acquiring unit 111 receives and acquires the time-series measurement results or detection results transmitted from each of the measuring devices 220-1 to 220-4. The acquiring unit 111 outputs the acquired time-series data to the time axis adjusting unit 121. The acquiring unit 111 also outputs the acquired time-series measurement results or detection results to the delay time calculating unit 151.
[0033] The delay time calculation unit 151 calculates the delay time for adjusting the time axis using the measurement result or detection result output from the acquisition unit 111, the standard of the water treatment devices 200-1 to 200-4, and the standard indicating the diameter and length of the pipes connecting each of the water treatment devices 200-1 to 200-4. The standard of the water treatment devices 200-1 to 200-4 and the standard of the pipes connecting each of the water treatment devices 200-1 to 200-4 have already been determined, and are stored in advance in a storage unit or the like provided in the information processing device 101. The delay time calculation unit 151 may calculate a provisional delay time between each of the water treatment devices 200-1 to 200-4 based on these previously stored values. For example, the delay time calculation unit 151 calculates the provisional delay time based on the capacity of a tank used in the water treatment device, the diameter and length of the pipes. At this time, a reference delay time according to the capacity of the tank, the diameter and length of the pipes serving as a reference is set in advance, and the delay time calculation unit 151 calculates the provisional delay time based on the reference. Examples of the measurement results output from the acquisition unit 111 include the flow rate of the water to be treated or the treated water in the water treatment device, the water level of a tank that stores the water to be treated or the treated water, and the flow rate of the water to be treated or the treated water in the pipe. Based on at least one of these values, the delay time calculation unit 151 calculates a delay time for adjusting the time axis. The delay time calculation unit 151 may calculate a provisional delay time based on the above-mentioned preset value, and adjust the provisional delay time using the above-mentioned dynamic measurement result or detection result output from the acquisition unit 111. For example, when the delay time calculation unit 151 calculates the provisional delay time as T, the delay time calculation unit 151 calculates a final delay time based on the provisional delay time T and the water level of the tank, which is the measurement result output from the acquisition unit 111. Also, when the delay time calculation unit 151 calculates the provisional delay time as T, and the water level of the tank, which is the measurement result output from the acquisition unit 111, is a value higher than a predetermined threshold, the delay time calculation unit 151 calculates the final delay time as a time longer than the provisional delay time.In addition, when the delay time calculation unit 151 calculates the provisional delay time as T, and the flow rate in the water treatment device, which is the measurement result output from the acquisition unit 111, is a value greater than a predetermined threshold, the delay time calculation unit 151 calculates the final delay time as a time shorter than the provisional delay time. In addition, when the delay time calculation unit 151 calculates the provisional delay time as T, and the flow rate in the water treatment device, which is the measurement result output from the acquisition unit 111, is a value less than a predetermined threshold, the delay time calculation unit 151 calculates the final delay time as a time longer than the provisional delay time. In addition, when the delay time calculation unit 151 calculates the provisional delay time as T, and the flow rate at which the measurement object circulates in the circulation piping, which is the measurement result output from the acquisition unit 111, is a value greater than a predetermined threshold, the delay time calculation unit 151 calculates the final delay time as a time longer than the provisional delay time. Furthermore, when the delay time calculation unit 151 calculates a tentative delay time as T and the flow rate of the measurement target flowing through the circulation pipe, which is the measurement result output from the acquisition unit 111, is a value less than a predetermined threshold value, the delay time calculation unit 151 calculates a final delay time as a time shorter than the tentative delay time. The delay time calculation unit 151 outputs the calculated delay time to the time axis adjustment unit 121. Note that the above-mentioned processing of the delay time calculation unit 151 may be read and executed from outside the information processing device 101 as a delay time creation tool (software).
[0034] The time axis adjustment unit 121 changes the time axis of the time series data output from the acquisition unit 111 by using the delay time output from the delay time calculation unit 151. Specifically, for example, the time axis adjustment unit 121 delays (slides) the time axis of the time series data output from the acquisition unit 111 by the delay time output from the delay time calculation unit 151. Note that, for example, when time series data on the operating status of the water treatment devices 200-1 to 200-4 is output from the acquisition unit 111, the time axis adjustment unit 121 may compress, in the time axis direction, the time axis including the period during which the water treatment devices 200-1 to 200-4 are stopped in the time series data on the operating status. Furthermore, the time axis adjustment unit 121 may expand the time axis including the period of time series data to be changed, which is the subject of time axis change, in the time axis direction, for example, for a period of time series data of the measurement result acquired by the acquisition unit 111 with a large change (for example, a period in which the magnitude of change is equal to or greater than a threshold) or a period with a peak value. By compressing or expanding the time series data, it is possible to extract and compare only data of a necessary period, and to avoid the execution of unnecessary processing. The time axis adjustment unit 121 outputs the time series data with the adjusted time axis to the output unit 140.
[0035] An information processing method in the information processing device 101 shown in Fig. 5 will be described below. Fig. 7 is a flowchart for explaining the information processing method in the information processing device 101 shown in Fig. 5. Here, an example will be described in which the time series data acquired by the state acquirer 210-1 is the first time series data, the water information acquisition point of the state acquirer 210-1 is the first water information acquisition point, and the water information acquisition point of the state acquirer 210-4 is the second water information acquisition point. The selection of the time series data (water information acquisition point) is performed based on a predetermined operation received by the information processing device 101 from outside.
[0036] First, the acquisition unit 111 acquires the first time series data acquired by the state acquisition unit 210-1 (step S11). The delay time calculation unit 151 calculates the delay time from the first water information acquisition point to the second water information acquisition point using the measurement results or detection results acquired by the acquisition unit 111 from the measuring devices 220-1 to 220-4, or the standards of the water treatment devices 200-1 to 200-4, and the standards of the piping connecting each of the water treatment devices 200-1 to 200-4 (step S12). The specific calculation method is as described above.
[0037] Then, the time axis adjustment unit 121 adjusts the time axis of the first time series data acquired by the acquisition unit 111 using the delay time calculated by the delay time calculation unit 151 (step S13). Specifically, for example, the time axis adjustment unit 121 delays the time axis of the first time series data acquired by the acquisition unit 111 by the delay time. Next, the output unit 140 displays the first time series data whose time axis has been adjusted by the time axis adjustment unit 121 (step S14).
[0038] In this manner, in this embodiment, a delay time is calculated using the flow conditions and operating conditions of the measurement object in each of water treatment devices 200-1 to 200-4, the specifications of water treatment devices 200-1 to 200-4, and the specifications of the piping connecting each of water treatment devices 200-1 to 200-4, and the time axis of the time series data is adjusted based on the calculated delay time and time series data. This makes it possible to obtain time series data that should be obtained at the second water information acquisition point (later water information acquisition point) from the time series data obtained at the first water information acquisition point (previous water information acquisition point) (i.e., time series data that would be obtained at the second water information acquisition point if no malfunction occurs in the measurement object between the first water information acquisition point and the second water information acquisition point). Moreover, by comparing the time series data acquired by delaying the time axis of the time series data acquired at the first water information acquisition point with the time series data actually acquired at the second water information acquisition point, it is possible to determine whether the cause of the defect in the measurement result (e.g., fluctuation in water quality, etc.) in the time series data acquired at the second water information acquisition point is due to the defect in the measurement result (e.g., fluctuation in water quality, etc.) in the time series data acquired at the first water information acquisition point. Specifically, for example, when an abnormality is found in the water quality measurement value at a specific time in the time series data acquired at the second water information acquisition point, the water quality measurement value at the specific time in the time series data is compared with the water quality measurement value at the specific time in the time series data acquired at the first water information acquisition point after delaying the time series data acquired at the first water information acquisition point by the delay time. In this way, it is possible to determine whether the abnormality in the water quality measurement value in the time series data acquired at the second water information acquisition point is due to (is influenced by) the abnormality in the water quality measurement value in the time series data acquired at the first water information acquisition point. Therefore, it is possible to easily identify the location where a change has occurred in the measurement target. In particular, in a water treatment system in which treatment is performed sequentially in a plurality of water treatment devices, a comparison can be made taking into consideration the residence time and treatment time occurring in each water treatment device. Furthermore, the delay time used in this embodiment is calculated using the flow condition and operating status of the object to be measured at the water information acquisition point, the standard of the water treatment device, and the standard of the piping connecting each of the water treatment devices.This makes it possible to dynamically identify the target location according to the operating status of each water treatment device. The time axis of the acquired time series data may be advanced by using a delay time set between the water information acquisition points. In this case, the time series data whose time axis is advanced is the time series data acquired at the later water information acquisition point. This makes it possible to acquire the state and measurement results at the later water information acquisition point according to the acquisition time at the earlier water information acquisition point. (Third embodiment)
[0039] Fig. 8 is a diagram showing a third embodiment of the water treatment system of the present invention. As shown in Fig. 8, water treatment system 12 in this embodiment has information processing device 102, a plurality of water treatment devices 200-1 to 200-4, and status acquirers 210-1 to 210-4. Information processing device 102 and status acquirers 210-1 to 210-4 may be directly connected to each other, or may be connected to each other via a communication network. Information processing device 102 and status acquirers 210-1 to 210-4 may be connected to each other wirelessly or may be connected to each other wiredly so as to be able to communicate with each other. Water treatment devices 200-1 to 200-4 and status acquirers 210-1 to 210-4 are the same as those in the first embodiment.
[0040] The information processing device 102 adjusts the time axis of the time series data transmitted from each of the state acquisition devices 210-1 to 210-4 and outputs the adjusted data. The information processing device 102 may be any device having a communication function, a calculation function, and an output function, and may be, for example, a PC or a mobile terminal such as a smartphone. The information processing device 102 is preferably provided with a storage unit for storing information.
[0041] Fig. 9 is a diagram showing an example of components included in the information processing device 102 shown in Fig. 8. As shown in Fig. 9, the information processing device 102 shown in Fig. 8 has an acquisition unit 112, a time axis adjustment unit 120, a comparison unit 130, and an output unit 142. The time axis adjustment unit 120 and the comparison unit 130 are the same as those in the first embodiment. Note that Fig. 9 shows main elements in this embodiment among the components included in the information processing device 102 shown in Fig. 8.
[0042] The acquiring unit 112 has a function of outputting the acquired time-series data to the output unit 142 in addition to the functions of the acquiring unit 110 in the first embodiment.
[0043] The output unit 142 outputs the time series data of the first water information acquisition point whose time axis has been changed, output from the time axis adjustment unit 120. The output unit 142 also outputs the time series data of the second water information acquisition point output from the acquisition unit 112. The first water information acquisition point and the second water information acquisition point are selected based on a predetermined operation received from the outside by the information processing device 102, as in the first and second embodiments. The output mode in the output unit 142 may be display or printing. In this case, the output unit 142 displays, for example, the first time series data whose time axis has been adjusted by the time axis adjustment unit 120 and the second time series data output from the acquisition unit 112 on the same time axis. This display mode may be any display mode that allows comparison of the time series data at the same time, and may display the two time series data side by side or overlapping each other, for example.
[0044] FIG. 10 is a diagram showing an example of an output mode of time series data in the output unit 142 shown in FIG. 9. The time series data shown in FIG. 10 is, for example, temperature data. The upper diagram of FIG. 10 shows an example in which the time series data (solid line) acquired by the state acquirer 210-1 and the time series data (dashed line) acquired by the state acquirer 210-4 are displayed side by side on the same time axis. The lower diagram of FIG. 10 shows an example in which the time series data (solid line) acquired by the state acquirer 210-1, the time axis of which has been changed by the time axis adjustment unit 120, and the time series data (dashed line) acquired by the state acquirer 210-4 are displayed side by side on the same time axis. In FIG. 10, the delay time from the water information acquisition point of the state acquirer 210-1 to the water information acquisition point of the state acquirer 210-4 is set to T1. For example, when delay time T1 is set as the time for the measurement target to reach the water information acquisition point of state acquirer 210-4 from the water information acquisition point of state acquirer 210-1, time axis adjustment unit 120 delays (slides) the time axis of the time series data acquired by state acquirer 210-1 by T1. For example, when there is a large change in the time series data acquired by state acquirer 210-4 at time (t2+T1) shown in Fig. 10, if there is a similar large change at time (t2+T1) of the time series data acquired by state acquirer 210-1 with the time axis delayed by T1 by time axis adjustment unit 120, it can be inferred that the change in the time series data in state acquirer 210-4 at time (t2+T1) is influenced by some malfunction of water treatment device 200-1 at time t2. On the other hand, if there is a large change in the time series data acquired by status acquirer 210-4 at time (t1+T1) shown in Figure 10, and there is no similar large change at time (t1+T1) in the time series data acquired by status acquirer 210-1 when the time axis adjustment unit 120 delays the time axis by T1, it can be inferred that the change in the time series data in status acquirer 210-4 at time (t1+T1) is influenced by some kind of malfunction in a stage downstream of water treatment device 200-1.
[0045] FIG. 11 is a diagram showing another example of the output mode of the time series data in the output unit 142 shown in FIG. 9. The time series data shown in FIG. 11 is, for example, temperature data. The upper diagram of FIG. 11 shows an example in which the time series data (solid line) acquired by the state acquirer 210-3 and the time series data (dashed line) acquired by the state acquirer 210-4 are displayed side by side on the same time axis. The lower diagram of FIG. 11 shows an example in which the time series data (solid line) acquired by the state acquirer 210-3, the time axis of which has been changed by the time axis adjustment unit 120, and the time series data (dashed line) acquired by the state acquirer 210-4 are displayed side by side on the same time axis. In FIG. 11, the delay time from the water information acquisition point of the state acquirer 210-3 to the water information acquisition point of the state acquirer 210-4 is T2. For example, when delay time T2 is set as the time for the measurement target to reach the water information acquisition point of state acquirer 210-4 from the water information acquisition point of state acquirer 210-3, time axis adjustment unit 120 delays (slides) the time axis of the time series data measured by state acquirer 210-3 by T2. For example, when there is a large change in the time series data acquired by state acquirer 210-4 at time (t3+T2) shown in Fig. 11, if there is a similarly large change at time (t3+T2) of the time series data acquired by state acquirer 210-3 with the time axis delayed by T2 by time axis adjustment unit 120, it can be inferred that the change in the time series data in state acquirer 210-4 at time (t3+T2) is influenced by some malfunction of water treatment device 200-3 at time t3 or earlier. Furthermore, even if there is a large change in the time series data acquired by status acquirer 210-4 at time (t4+T2) shown in Figure 11, if there is a similarly large change at time (t4+T2) of the time series data acquired by status acquirer 210-3 with the time axis delayed by T2 by time axis adjustment unit 120, it can be inferred that the change in the time series data in status acquirer 210-4 at time (t4+T2) is influenced by some kind of malfunction of water treatment device 200-3 at time t4 or earlier.
[0046] In addition, when the information processing device 102 has a storage means, the storage means may store the time series data acquired by each of the state acquisition devices 210-1 to 210-4 and the time series data whose time axis has been adjusted by the time axis adjustment unit 120. In addition, the output unit 142 may transmit the time series data to another device so that the display shown in FIG. 10 and FIG. 11 is performed on the other device. In addition, the information processing device 102 may display a plurality of time series data whose time axes have been adjusted using corresponding delay times side by side, or may calculate and output the similarity or correlation between the data. For example, the information processing device 102 may determine that time series data having a high similarity to each other are time series data that are likely to affect each other.
[0047] An information processing method in the information processing device 102 shown in Fig. 8 will be described below. Fig. 12 is a flowchart for explaining the information processing method in the information processing device 102 shown in Fig. 8. Here, an example will be described in which the time series data acquired by the state acquirer 210-1 is the first time series data, the water information acquisition point of the state acquirer 210-1 is the first water information acquisition point, the time series data acquired by the state acquirer 210-4 is the second time series data, and the water information acquisition point of the state acquirer 210-4 is the second water information acquisition point. The selection of the time series data (water information acquisition point) is performed based on a predetermined operation received by the information processing device 102 from outside.
[0048] First, the acquisition unit 111 acquires the first time series data acquired by the state acquirer 210-1 and the second time series data acquired by the state acquirer 210-4 (step S21). The time axis adjustment unit 120 acquires the delay time from the first water information acquisition point to the second water information acquisition point (step S22). At this time, the time axis adjustment unit 120 acquires the delay time from a storage means such as a memory provided in the information processing device 102 or from another device as described above.
[0049] Then, the time axis adjustment unit 120 adjusts the time axis of the first time series data acquired by the acquisition unit 111 using the acquired delay time (step S23). Specifically, for example, the time axis adjustment unit 120 delays the time axis of the first time series data acquired by the acquisition unit 111 by the delay time. Next, the output unit 142 displays the first time series data whose time axis has been adjusted by the time axis adjustment unit 120 and the second time series data acquired by the acquisition unit 111 side by side or overlaid (step S24).
[0050] In this manner, in this embodiment, the time axis of the acquired time series data is changed (delayed) using the delay time set between the water information acquisition points. This makes it possible to acquire time series data that should be acquired at the second water information acquisition point (later water information acquisition point) from the time series data acquired at the first water information acquisition point (previous water information acquisition point) (i.e., time series data acquired at the second water information acquisition point when no malfunction occurs in the measurement object between the first water information acquisition point and the second water information acquisition point). In addition, by comparing the time series data acquired by delaying the time axis of the time series data acquired at the first water information acquisition point with the time series data actually acquired at the second water information acquisition point, it is possible to determine whether the cause of the malfunction of the measurement result (e.g., fluctuation in water quality, etc.) in the time series data acquired at the second water information acquisition point is due to the malfunction of the measurement result (e.g., fluctuation in water quality, etc.) in the time series data acquired at the first water information acquisition point. Specifically, for example, when an abnormality is found in the water quality measurement value at a specific time in the time series data acquired at the second water information acquisition point, the water quality measurement value at the specific time in the time series data is compared with the water quality measurement value at the specific time in the time series data acquired at the first water information acquisition point after delaying the time series data acquired at the first water information acquisition point by the delay time. In this way, it is possible to determine whether the abnormality in the water quality measurement value in the time series data acquired at the second water information acquisition point is caused (influenced) by the abnormality in the water quality measurement value in the time series data acquired at the first water information acquisition point. Therefore, it is possible to easily identify the location where a change has occurred in the measurement object. In particular, in a water treatment system in which treatment is performed sequentially in each of a plurality of water treatment devices, it is possible to make a comparison taking into account the residence time and treatment time occurring in each water treatment device. Furthermore, when outputting the results, the time series data at the front water information acquisition point, which is the comparison source, with the time axis adjusted, and the time series data at the rear water information acquisition point, which is the comparison target, are displayed on the same time axis, making it easier to identify the location where a change has occurred in the measurement object. The time axis of the acquired time series data may be advanced by using a delay time set between the water information acquisition points.In this case, the time series data to be advanced in time axis is the time series data acquired at the later water information acquisition point, which allows the time series data at the earlier water information acquisition point to be compared with the corresponding time series data at the later water information acquisition point on the same time axis.
[0051] Although the above description has been given by allocating each function (processing) to each component, this allocation is not limited to the above. In addition, the configuration of the components is also not limited to the above-mentioned form, and the above-mentioned form is merely an example. In addition, the above-mentioned embodiments may be combined in any combination.
[0052] The processes performed by each of the information processing devices 100 to 102 may be performed by a logic circuit that is created for each purpose. Alternatively, a computer program (hereinafter referred to as a program) in which the process contents are described as a procedure may be recorded on a recording medium that can be read by each of the information processing devices 100 to 102, and the program recorded on the recording medium may be read and executed by each of the information processing devices 100 to 102. The recording medium that can be read by each of the information processing devices 100 to 102 refers to a removable recording medium such as a floppy (registered trademark) disk, a magneto-optical disk, a DVD (Digital Versatile Disc), a CD (Compact Disc), a Blu-ray (registered trademark) Disc, a USB (Universal Serial Bus) memory, and an SD card, as well as memories such as a ROM (Read Only Memory), a RAM (Random Access Memory), and a HDD (Hard Disc Drive) that are built into each of the information processing devices 100 to 102. The program recorded on the recording medium is read by a CPU (not shown) provided in each of the information processing devices 100 to 102, and the same processing as described above is performed under the control of the CPU. Here, the CPU operates as a computer that executes the program read from the recording medium on which the program is recorded.
[0053] FIG. 13 is a diagram showing a first specific example of the water treatment system of the present invention. As shown in FIG. 13, this specific example is configured by adding state acquirers 210-1 to 210-4 and an information processing device 100 to an ultrapure water production system 50 including a pretreatment device 51, a primary pure water production system 52, and a secondary pure water production system (subsystem) 53. More specifically, the primary pure water production system 52 is configured by adding state acquirers 210-1 to 210-4 and an information processing device 100. In this case, for example, the primary pure water production system 52 includes, as the above-mentioned water treatment devices 200-1 to 200-4, an activated carbon adsorption device (ACF) 201-1, a resin tower 201-2 constituting a 2B3T, a reverse osmosis membrane separation device (RO) 201-3, and an ultraviolet oxidation device (UV) 201-4. The pretreatment device 51 may be a pretreatment device (pretreatment system) used in a general water treatment system, and is a device for removing fine particles from the supplied raw water. The secondary pure water production apparatus 53 may be a subsystem used in a general water treatment system, and is an apparatus for removing trace amounts of ions and total organic carbon that could not be completely removed by the primary pure water production apparatus 52. It is also possible to configure the secondary pure water production apparatus 53 by additionally providing status acquisition devices 210-1 to 210-4 and an information processing apparatus 100. In this case, for example, the secondary pure water production apparatus 53 is equipped with a UV (ultraviolet oxidation apparatus), MDG (membrane degassing apparatus), CP (ion exchange resin filling apparatus), and UF (ultrafiltration apparatus) as the above-mentioned water treatment devices 200-1 to 200-4.
[0054] FIG. 14 is a diagram showing a second specific example of the water treatment system of the present invention. As shown in FIG. 14, this specific example is configured by adding state acquisition devices 210-1 to 210-4 and an information processing device 100 to a water supply facility 54. In this case, for example, the water supply facility 54 includes a coagulation settling device 202-1, an ozone treatment device 202-2, an activated carbon adsorption device 202-3, and a sand filtration device 202-4 as the above-mentioned water treatment devices 200-1 to 200-4. The coagulation settling device 202-1 is a device that injects a coagulant into the water to be treated that is supplied, and precipitates and separates the coagulated impurities. The ozone treatment device 202-2 is a device that injects ozone into the water to be treated that is supplied, and decomposes organic matter contained in the water to be treated. The sand filtration device 202-4 is a filtration device that uses sand as a filter material. The water supply facility 54 may have a flow other than that shown in FIG. 14. As another flow of the water supply facility 54, for example, the following flow can be mentioned. Flow 1: Coagulation and settling device → Sand filter device Flow 2: Coagulation and settling device → Membrane filtration device Flow 3: Coagulation and settling device → Activated carbon adsorption device → Sand filter device Flow 4: Coagulation and settling equipment → Iron and manganese removal equipment → Sand filter [Explanation of symbols]
[0055] 10~12 Water treatment system 50 Ultrapure water production equipment 51 Pretreatment device 52 Primary water purification equipment 53 Secondary pure water production equipment 54 Water Supply Facilities 100~102 Information processing equipment 110~112 Acquisition part 120,121 Time axis adjustment section 130 Comparison section 140,142 Output section 151 Delay time calculation unit 200-1~200-4 Water treatment equipment 201-1,202-3 Activated carbon adsorption device 201-2 Resin tower 201-3 Reverse osmosis membrane separation equipment 201-4 Ultraviolet oxidation device 202-1 Coagulation and settling equipment 202-2 Ozone treatment equipment 202-4 Sand filter equipment 210-1~210-4 Status acquisition unit 220-1~220-4 Measuring instrument
Claims
1. An acquisition unit that acquires time-series data of water information at each of a plurality of water information acquisition points of the water treatment system; a time axis adjustment unit that adjusts a time axis of the first time series data at the first water information acquisition point acquired by the acquisition unit, using a delay time from a first water information acquisition point to a second water information acquisition point among the plurality of water information acquisition points; An information processing device having a comparison unit that compares second time series data at the second water information acquisition point acquired by the acquisition unit with first time series data whose time axis has been adjusted by the time axis adjustment unit.
2. 2. The information processing device according to claim 1, A delay time calculation unit for calculating the delay time, The delay time calculation unit calculates the delay time based on at least one of the flow rate of the measurement object in the water treatment device provided between the first water information acquisition point and the second water information acquisition point, the water level in a tank that stores the measurement object, the capacity of the tank, the diameter of a pipe through which the measurement object flows, the length of the pipe, and the flow rate of the measurement object flowing through the pipe; The time axis adjustment unit adjusts the time axis of the first time series data acquired by the acquisition unit, using the delay time calculated by the delay time calculation unit.
3. 3. The information processing device according to claim 1, An information processing device comprising: an output unit that outputs the first time series data whose time axis has been adjusted by the time axis adjustment unit and the second time series data acquired by the acquisition unit, on the same time axis.
4. 3. The information processing device according to claim 1, The time axis adjustment unit is an information processing device that slides a time axis of the first time series data acquired by the acquisition unit.
5. 3. The information processing device according to claim 1, The time axis adjustment unit extends the time axis for a period during which the magnitude of change in the first time series data acquired by the acquisition unit is equal to or greater than a threshold value, or for a period during which the peak value of the first time series data acquired by the acquisition unit is measured.
6. 3. The information processing device according to claim 1, The time axis adjustment unit is an information processing device that compresses the time axis in the time axis direction for the period during which a water treatment device provided in the water treatment system is stopped operating, among the time axis of the first time series data acquired by the acquisition unit.
7. 3. The information processing device according to claim 1, The acquisition unit is an information processing device that acquires at least one of the water quality, pressure, flow rate, temperature of the liquid to be measured at the first water information acquisition point, the operating status of an apparatus installed at the first water information acquisition point, and information emitted about the apparatus installed at the first water information acquisition point as the first time series data.
8. A process of acquiring time series data of water information at each of a plurality of water information acquisition points; a process of adjusting a time axis of the first time series data at the acquired first water information acquisition point by using a time from a first water information acquisition point to a second water information acquisition point among the plurality of water information acquisition points as a delay time; and comparing the second time series data at the acquired second water information acquisition point with the first time series data whose time axis has been adjusted.
9. On the computer, A step of acquiring time series data of water information at each of a plurality of water information acquisition points; a step of adjusting a time axis of the first time series data at the acquired first water information acquisition point by using a delay time from a first water information acquisition point to a second water information acquisition point among the plurality of water information acquisition points; A program for executing a procedure of comparing the second time series data at the acquired second water information acquisition point with the first time series data whose time axis has been adjusted.
10. A water treatment device and an information treatment device are provided. an acquisition unit that acquires time-series data of water information at each of a plurality of water information acquisition points corresponding to each of the plurality of water treatment devices; a time axis adjustment unit that adjusts a time axis of the first time series data at the first water information acquisition point acquired by the acquisition unit, using a delay time from a first water information acquisition point to a second water information acquisition point among the plurality of water information acquisition points; A water treatment system having a comparison unit that compares second time series data at the second water information acquisition point acquired by the acquisition unit with first time series data whose time axis has been adjusted by the time axis adjustment unit.
Citation Information
Patent Citations
Operation monitoring apparatus and operation monitoring method in water treatment facility
JP2019010613A