Management support display device, management support display method, and management support display program

Abstract

To provide a management support display device that supports a suitable operation in the operation and management of a water treatment plant.SOLUTION: A management support display device 20 according to an embodiment of the present invention, comprises a prediction unit 27 of calculating a prediction value of the treated water quality showing the quality of raw water subsequent to its treatment with an injected chemical, using water quality information relating to the quality of raw water and injection information relating to the injection of a chemical into raw water, and at least one of set values of water quality information and injection information set by a user, and a management support display unit 25 presenting current values and a calculated value in a form of being comparable with each other to a user, with the current values being the water quality information relating to the quality of raw water and the injection information relating to the injection of a chemical into raw water, and the calculated value being the prediction value calculated by using the set values.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] FIELD Embodiments of the present invention relate to a management support display device, a management support display method, and a management support display program. [Background technology]

[0002] The main purpose of the operation and management of the water purification process at a water purification plant is to maintain the quality of treated water below the water quality standards for tap water. Each water purification plant generally sets a management target water quality that is higher than the water quality standard (for example, a lower concentration), and also strives to achieve cost-saving targets by reducing the costs and energy required for cleaning and sludge disposal. In particular, in recent years, there has been a demand for low-cost operation and management technologies from the perspective of strengthening the operational foundations of water utilities.

[0003] Generally, water treatment plants such as water purification plants use a process called solid-liquid separation to remove suspended solids contained in raw water by settling them out. The solid-liquid separation process involves a coagulation process in which chemicals (such as coagulants) are injected to form flocs and increase the settling speed of the suspended solids, in order to increase the efficiency of removing suspended solids from the water.

[0004] Flocs are formed by the aggregation of suspended solids and coagulants. Flocs come in a variety of sizes, from microflocs that are barely visible to the naked eye and measure a few tens of micrometers, to giant flocs that grow to a size of a few millimeters to a few centimeters and can be seen with the naked eye. A well-treated coagulation process produces good flocs. Here, good flocs refer to flocs with high density and large particle size. Flocs with high density and large particle size have good settling properties and promote solid-liquid separation. To form good flocs, it is important to consider not only the amount of coagulant injected relative to the suspended solids, but also water quality parameters such as the pH, alkalinity, and temperature of the raw water.

[0005] The injection rates of chemicals, such as coagulants, used in water purification plants are often adjusted based on the experience and know-how of skilled workers, making it difficult to pass on the skills. To address this issue, technologies have been proposed that predict and guide chemical injection rates by statistically processing past water quality data and actual chemical injection data or by mechanically learning them. In recent years, technologies have also been proposed that use big data analysis to analyze the relationship between chemical injection rates and water quality. Other technologies that have been proposed include displaying the calculation results of predicted water quality values ​​in a form such as a radar chart. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] JP 2017-140595 A Summary of the Invention [Problem to be solved by the invention]

[0007] However, with the display functions up to now, it has been difficult to simultaneously grasp, for example, the calculation results of the predicted value of treated water quality and information on treatment costs, and to carry out appropriate operations while taking water quality and costs into consideration.In addition, it has been desired to provide the necessary information in an easy-to-read format, such as a format that allows comparison of current values ​​and predicted values, while taking into account the actual operations of operators at the water purification plant.

[0008] The embodiments of the present invention have been made in consideration of the above circumstances, and aim to provide a management support display device, a management support display method, and a management support display program that support appropriate operation in the operation and management of water treatment plants. [Means for solving the problem]

[0009] A management support display device according to an embodiment includes: a prediction unit that calculates a predicted value of treated water quality indicating the water quality of the raw water after treatment with the injection of the chemical, using at least one of water quality information on the water quality of raw water, injection information on the injection of a chemical into the raw water, and set values ​​of the water quality information and injection information set by a user; and a management support display unit that sets the water quality information on the water quality of the raw water and the injection information on the injection of the chemical into the raw water as current values, sets the predicted value calculated using the set values ​​as an estimated value, and presents the current value and the estimated value to a user in a manner that allows them to compare them. The management support display unit includes a cost calculation unit capable of calculating a cost corresponding to the current value and a cost corresponding to the estimated value, and presents the corresponding costs to the user in association with the current value and the estimated value. do. [Brief explanation of the drawings]

[0010] [Figure 1] FIG. 1 is a diagram illustrating an example of the configuration of a water purification plant and a management support display device according to an embodiment applied to the water purification plant. [Figure 2] FIG. 2 is a block diagram illustrating an example of the configuration of an operation management support display unit of the management support display device of one embodiment. [Figure 3] FIG. 3 is a diagram schematically illustrating an example of the configuration of the display unit of the operation management support display unit shown in FIG. [Figure 4A] 4A is a diagram schematically showing an example of a display on the current value display unit shown in FIG. 3. FIG. [Figure 4B] FIG. 4B is a diagram schematically illustrating an example of a display in the difference display section shown in FIG. [Figure 4C] 4C is a diagram schematically illustrating an example of a display on the log display unit shown in FIG. 3. FIG. [Figure 4D] FIG. 4D is a diagram schematically showing an example of the display of the graph display section and the rate of change display section shown in FIG. [Figure 5] FIG. 5 is a flowchart illustrating an example of the operation of the management support display device according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0011] Hereinafter, a management support display device, a management support display method, and a management support display program according to an embodiment will be described with reference to the drawings. FIG. 1 is a diagram illustrating an example of the configuration of a water purification plant and a management support display device according to an embodiment applied to the water purification plant.

[0012] The water purification plant 1 includes a water storage facility for treating raw water, flow meters 2a to 2d, a sampling pump 4a, a water thermometer 10, a turbidity meter 11, a pH meter 12, a flow meter 13, a sampling pump 7a, a settling basin outlet turbidity meter 14, a flocculant injection amount control unit 15, a flocculant injection facility 16, a pH adjuster injection amount control unit 17, a pH adjuster injection facility 18, and a plant operation unit 26. The water storage facility of the water purification plant 1 includes a receiving well 3, an activated carbon contact basin 4, a mixing basin 5, a flocculation basin 6, a settling basin 7, a sand filter basin 8, and a clear water basin 9.

[0013] At the water purification plant 1, multiple water purification processes are carried out, such as a water intake process using a receiving well 3, an activated carbon adsorption process using an activated carbon contact basin 4, a coagulant injection process using a mixing basin 5, a flocculation process using a flocculation basin 6, a sedimentation filtration process using a sedimentation basin 7, and a sand filtration process using a sand filter basin 8.

[0014] For example, raw water is taken into the receiving well 3 from a plurality of water intake sources, Systems A to D, and flows into the receiving well 3 through respective pipes (water intake process). The flow rate of raw water from each of the water intake sources, Systems A to D, is measured by flow meters 2a to 2d installed on the respective pipes. The intake flow rate data measured by the flow meters 2a to 2d is sent to the data collection and storage unit 21 as plant data.

[0015] A pH adjustment process is carried out in which a pH adjuster is injected into the receiving well 3 from a pH adjuster injection facility 18. For example, sodium hydroxide (caustic soda) is used as a pH adjuster to adjust the pH to the alkaline side, and sulfuric acid is used to adjust the pH to the acidic side. The pH adjuster is injected to adjust the pH and alkalinity of the raw water to values ​​suitable for floc formation. The raw water taken into the receiving well 3 flows into the activated carbon contact basin 4 through piping.

[0016] The raw water that flows into the activated carbon contact basin 4 is treated by an activated carbon adsorption process, including the removal of odorous substances. In the activated carbon contact basin 4, a raw water sample is taken out by a sampling pump 4a, and the temperature, turbidity, and pH of the raw water are measured by a water thermometer 10, a turbidity meter 11, and a pH meter 12. The data measured by the water thermometer 10, the turbidity meter 11, and the pH meter 12 are sent to a data collection and storage unit 21 as plant data. Activated carbon is added to the activated carbon adsorption process when it is necessary to deal with odors such as mold or to remove colors based on chromaticity, etc. Therefore, even if the water purification plant 1 is equipped with activated carbon equipment, it is not necessary to add activated carbon all the time.

[0017] The flow meter 13 is provided in the pipe through which raw water flows from the activated carbon contact basin 4 into the mixing basin 5. The inflow flow rate data measured by the flow meter 13 is sent to the data collection and storage unit 21 as plant data.

[0018] In the mixing basin 5, a flocculant injection process is carried out in which a flocculant is injected from a flocculant injection facility 16. In the mixing basin 5, the turbid matter in the raw water into which the flocculant has been injected collides with the flocculant and agglomerates due to their electrical attraction, forming microflocs. The raw water from the mixing basin 5 is sent to the flocculation basin 6. In the flocculation basin 6, a flocculation process is carried out in which microflocs, residual coagulant, residual suspended matter, etc. contained in the raw water are coagulated to form flocs.

[0019] Furthermore, in the sedimentation tank 7, turbidity is removed from the raw water by sedimentation separation through a sedimentation filtration process. At the outlet of the sedimentation tank 7, a sample of the treated water is taken out by a sampling pump 7a, and the turbidity of the treated water (settled water turbidity) at the outlet of the sedimentation tank 7 is measured by a sedimentation tank outlet turbidity meter 14. The measurement data of the settled water turbidity at the outlet of the sedimentation tank 7 is accumulated in the data collection and storage unit 21 as plant data. The treated water discharged from the sedimentation tank 7 is filtered in a sand filter tank 8, and the filtered water is stored in a clean water tank 9.

[0020] The plant operation unit 26 automatically controls the injection rate of the flocculant in accordance with the operation conditions from the management support display device 20. Specifically, the plant operation unit 26 outputs a control signal to the flocculant injection amount control unit 15 to control the injection rate of the flocculant in accordance with the flocculant injection rate included in the operation conditions from the management support display device 20. The coagulant injection amount control unit 15 controls the injection amount of the coagulant to be injected into the mixing basin 5 by the coagulant injection equipment 16 in response to a control signal received from the plant operation unit 26 .

[0021] Furthermore, the plant operation unit 26 outputs a control signal to the pH adjuster injection amount control unit 17 to control the injection rate of the pH adjuster according to the pH adjuster injection rate included in the operation conditions from the management support display device 20 . The pH adjuster injection amount control unit 17 controls the injection amount of the pH adjuster to be injected into the receiving well 3 in the pH adjuster injection equipment 18 in response to a control signal received from the plant operation unit 26 .

[0022] The plant operation unit 26 may be configured to simply display the operating conditions from the management support display device 20 to the operator, without controlling the coagulant injection rate or the pH adjuster injection rate based on the operating conditions. In this case, the operator can check the displayed operating conditions and decide whether to actually perform the operation, and the plant operation unit 26 outputs control signals to the coagulant injection amount control unit 15 and the pH adjuster injection amount control unit 17, indicating the coagulant injection rate and the pH adjuster injection rate based on the operator's operation.

[0023] The management support display device 20 has the function of transmitting plant operating conditions, including information (injection information) on the injection rates of chemicals such as coagulants and pH adjusters, to the plant operation unit 26 based on the plant data collected in the data collection and storage unit 21, and can be composed of, for example, multiple computer terminals. Furthermore, the management support display device 20 can acquire operation information from a user and adjust the information to be presented to the user and the operation conditions to be transmitted to the plant operation unit 26 in accordance with the operation information.

[0024] The management support display device 20 may be configured to realize various functions by software, or may be configured to realize various functions by a combination of hardware and software. For example, the management support display device 20 includes at least one processor that performs arithmetic processing to realize the various functions described below, and a memory in which a program executed by the processor is recorded. The program that causes the management support display device 20 to operate to realize the various functions may be provided by being recorded on a computer-readable recording medium.

[0025] The management support display device 20 includes a data collection and storage unit 21, a prediction unit 27, and an operation management support display unit 25. The prediction unit 27 includes a statistical calculation unit 22, a water quality reaction model prediction unit 23, and a parameter adjustment unit 24. The data collection and storage unit 21 collects and stores data measured by the flow meters 2a to 2d, the water thermometer 10, the turbidity meter 11, the pH meter 12, the flow meter 13, and the sedimentation tank outlet turbidity meter 14 (hereinafter referred to as plant data).

[0026] The data collection and storage unit 21 stores, as time-series data, information on the quality of the plant's raw water, chemical information, and the turbidity of the treated water (settled water turbidity) at the outlet of the sedimentation tank 7 as a result of treatment. The raw water quality information includes raw water turbidity, raw water pH, raw water temperature, and raw water alkalinity. The chemical information includes information on the injection rates [mg / L] of coagulants and pH adjusters. The chemical information also includes information such as the type of coagulant and, for example, the basicity of aluminum in the case of an aluminum-based coagulant.

[0027] The data collection and storage unit 21 stores the G-values, which represent the mixing strength, as structural information of the plant, in this case the G-values ​​of the mixing basin 5 and the flocculation basin 6. The structural information is rarely changed, and a fixed value can be used unless construction work such as plant renewal is carried out.

[0028] The data collection and storage unit 21 also stores raw water flow rate data collected from flow meters 2a-2d and flow meter 13. The raw water flow rate at a water purification plant may be constant 24 hours a day or may fluctuate depending on the demand for tap water. The raw water flow rate and the structural volume of the plant can be used to calculate the retention time of raw water in each pond. If this retention time is t, an index called the Gt value can be obtained by multiplying the above-mentioned G value by the retention time t. This Gt value is used as an index representing how long the raw water has been subjected to intense agitation. The data collection and storage unit 21 can also store indexes such as the above-mentioned Gt value. The data collection and storage unit 21 can also store information regarding the injection rates of chemicals such as coagulants and pH adjusters (such as actual values ​​of chemical injection rates).

[0029] The data collection and storage unit 21 can also store water quality data of the treated water as a result of each process treatment. For example, the data collection and storage unit 21 stores the turbidity of the settled water at the outlet of the sedimentation basin 7 (sediment turbidity), the turbidity of the filtered water at the outlet of the sand filter basin 8, and the rate of rise in the water level (resistance rise) in the sand filter basin 8 as water quality data of the treated water. In this case, the water purification plant 1 is provided with a turbidity meter (not shown) that measures the turbidity of the filtered water discharged from the sand filter basin 8 and a water level meter (not shown) that measures the water level in the sand filter basin 8. Furthermore, when the data collection and storage unit 21 calculates the total amount of sludge generated over a certain period from the amount of sludge withdrawn from the sedimentation basin 7 over that period, it may store that total amount of sludge.

[0030] The statistical calculation unit 22 has a function of calculating a predicted value of the treated water quality by statistical processing using the data stored in the data collection and storage unit 21. The treated water quality includes at least the turbidity of the sediment. The statistical calculation unit 22 classifies data stored in the data collection and storage unit 21 by raw water quality pattern, for example. When raw water quality information and chemical injection rates are input, the statistical calculation unit 22 extracts past raw water quality data with similar water quality patterns. Based on the past chemical injection rates and sediment turbidity data stored corresponding to the extracted raw water quality, the statistical calculation unit 22 obtains a relational expression between the chemical injection rate and the sediment turbidity, and calculates a predicted value of the raw water quality (treated water quality) after treatment with the chemical injected according to the input chemical injection rate. The treated water quality includes the sediment turbidity. The statistical calculation unit 22 transmits the calculated predicted value of the treated water quality to the parameter adjustment unit 24 and the operation management support display unit 25. The statistical calculation unit 22 may also transmit the operating conditions, including the chemical injection rate used to calculate the predicted value of the treated water quality, to the operation management support display unit 25 in association with the predicted value.

[0031] The statistical calculation unit 22 may use techniques such as principal component analysis or principal component regression analysis to calculate the predicted value of the treated water quality. These techniques utilize a method called multivariate statistical process control (MSPC), which uses multivariate statistical analysis techniques developed primarily in the petrochemical process field as a way to quickly detect changes in process conditions. MSPC uses monitoring methods such as principal component analysis, principal component regression analysis, latent variable projection method, and partial least squares method. These techniques utilize correlation information between multiple process data obtained from multiple measurement data to generate several statistical data sets and detect changes in the process condition using the generated statistical data sets. The statistical calculation unit 22 may also use other known techniques to calculate the predicted value of the treated water quality.

[0032] The water quality reaction model prediction unit 23 calculates a predicted value of the treated water quality based on a model (water quality reaction model) that more specifically mathematically formulates the water quality reaction (reaction caused by chemicals injected into raw water) at the water purification plant 1. The water quality reaction model prediction unit 23 defines a water quality reaction model for the coagulation process in advance, and calculates a predicted value of the treated water quality that will be obtained when an injection rate of any chemical, such as a coagulant, is selected based on the water quality information of the raw water.

[0033] The water quality reaction model prediction unit 23 receives as input the water quality information of the raw water and the chemical injection rate, and outputs predicted values ​​of treated water quality calculated using a water quality reaction model, including predicted values ​​of, for example, the turbidity of the settled water and the aluminum concentration of the settled water. The water quality reaction model prediction unit 23 may also calculate predicted values ​​of the amount of sludge generated as a result of the settling of flocs in the settling basin 7 (the total amount of sludge generated in a certain period of time) and the rate of rise in the water level of the sand filter basin 8, which is an index of clogging of the sand filter basin 8, and output predicted values ​​of treated water quality including these.

[0034] The water quality reaction model prediction unit 23 may also acquire raw water quality information and a chemical injection rate arbitrarily set by the user based on operation information entered by the user. The water quality reaction model prediction unit 23 receives the raw water quality information and the chemical injection rate set by the user as input, and can output a predicted value of treated water quality, including the sediment turbidity and the sediment aluminum concentration, calculated based on the set values ​​of the water quality information and the chemical injection rate. Note that the user's set values ​​do not necessarily have to be all values ​​included in the water quality information and injection information arbitrarily set by the user. They may be values ​​in which the user arbitrarily sets only some of the current values ​​of the water quality information and injection information, or may be water quality information in which only some of the current values ​​of the raw water quality information are arbitrarily set, or may be input information in which some injection rates of multiple chemicals are arbitrarily set.

[0035] Furthermore, based on the water quality information and the set value of the chemical injection rate, predicted values ​​of the amount of sludge generated as a result of flocs settling in the sedimentation tank 7 and the rate of rise in the water level in the sand filter tank 8, which is an indicator of clogging of the sand filter tank 8, may be calculated, and predicted values ​​of the treated water quality including these may be output. The water quality reaction model prediction unit 23 may transmit the operating conditions (calculation conditions), including the value of the chemical injection rate used when calculating the predicted value of the treated water quality, to the operation management support display unit 25 in association with the predicted value.

[0036] The parameter adjustment unit 24 can also instruct the water quality reaction model prediction unit 23 to predict the treated water quality using as set values ​​the input values ​​(water quality information and chemical injection rate) used when the statistical calculation unit 22 predicted the treated water quality. The parameter adjustment unit 24 can compare the predicted value of the treated water quality (e.g., sediment turbidity) calculated by the water quality reaction model prediction unit 23 in response to the instruction with the predicted value of the treated water quality (e.g., sediment turbidity) calculated by the statistical calculation unit 22 to determine whether the two values ​​diverge. The parameter adjustment unit 24 determines that the two values ​​diverge, for example, when the absolute value of the difference between the predicted value of the treated water quality (sediment turbidity) calculated by the water quality reaction model prediction unit 23 and the predicted value of the treated water quality (sediment turbidity) calculated by the statistical calculation unit 22 exceeds a predetermined threshold (|difference value|>threshold value).

[0037] When it is determined that the two values ​​diverge, the parameter adjustment unit 24 changes the parameters used in the water quality reaction model prediction unit 23 using the data from the data collection and storage unit 21, and sets the new parameters in the water quality reaction model prediction unit 23. The parameter adjustment unit 24 can improve the prediction accuracy by repeatedly adjusting the parameters until it obtains parameters that are determined to be consistent between the predicted value of the treated water quality (e.g., sediment turbidity) calculated by the water quality reaction model prediction unit 23 and the predicted value of the treated water quality (e.g., sediment turbidity) calculated by the statistical calculation unit 22.

[0038] The statistical calculation unit 22 and parameter adjustment unit 24 periodically perform the above-mentioned accuracy improvement operation. Note that the statistical calculation unit 22 and parameter adjustment unit 24 are not limited to a configuration that operates periodically, but may monitor changes in the water quality information stored in the data collection and storage unit 21, and perform the above-mentioned operation when the water quality information changes significantly, or the user may issue an instruction to operate.

[0039] The operation management support display unit 25 has a function of acquiring the target water quality level of the treated water. Based on the operation conditions from the statistical calculation unit 22 and the operation conditions from the water quality reaction model prediction unit 23, the operation management support display unit 25 generates optimal operation conditions within a range that achieves the target water quality level, and outputs them to the plant operation unit 26. The conditions processed by the operation management support display unit 25 may be only the operation conditions from the statistical calculation unit 22, or only the operation conditions from the water quality reaction model prediction unit 23, or it may function with only one of the calculation units.

[0040] The plant operation unit 26 can automatically control the coagulant injection rate in accordance with the operation conditions from the operation management support display unit 25. Specifically, the plant operation unit 26 outputs a control signal to the coagulant injection amount control unit 15 to control the coagulant injection rate in accordance with the coagulant injection rate included in the operation conditions from the operation management support display unit 25. The coagulant injection amount control unit 15 controls the injection amount of coagulant to be injected into the mixing basin 5 by the coagulant injection equipment 16 in accordance with the control signal received from the plant operation unit 26.

[0041] Furthermore, the plant operation unit 26 outputs a control signal to the pH adjuster injection amount control unit 17 to control the injection rate of the pH adjuster, in accordance with the pH adjuster injection rate included in the operating conditions from the operation management support display unit 25. The pH adjuster injection amount control unit 17 controls the injection amount of the pH adjuster to be injected into the receiving well 3 by the pH adjuster injection equipment 18, in accordance with the control signal received from the plant operation unit 26.

[0042] The plant operation unit 26 may only display the operating conditions from the operation management support display unit 25 to the operator, and may not automatically control the coagulant or pH adjuster. The operator can check the displayed operating conditions and decide whether to actually perform the operation.

[0043] The operation management support display unit 25 and the plant operation unit 26 are configured to be connected to each other so that they can communicate with each other via a network. As described above, the configuration between the operation management support display unit 25 and the plant operation unit 26 is not limited to being capable of communication with each other via a network. The operation management support display unit 25 may be configured to present operating conditions to an operator operating the plant operation unit 26 (for example, the operator may access the operation support display device 20 from a mobile terminal carried by the operator, causing the operating conditions to be displayed on the mobile terminal). This allows the operator to perform operations on the plant operation unit 26 in accordance with the presented operating conditions, even in a configuration where the operation management support display unit 25 and the plant operation unit 26 are not connected via a network or the like.

[0044] With the above configuration, the management support display device 20 can provide support for injecting more appropriate amounts of coagulant and pH adjuster at the water purification plant 1. Because the statistical calculation unit 22 calculates injection rates based on past data, it is difficult to provide data on how much the coagulant injection rate can be reduced while maintaining the treated water quality. However, the water quality reaction model prediction unit 23 can calculate the minimum coagulant injection rate and pH adjuster injection rate within a specified range of treated water quality based on the water quality reaction model. The management support display device 20 can present the coagulant and pH adjuster injection rates, taking into account the injection rates calculated by the water quality reaction model prediction unit 23, to the plant operation unit 26 of the water purification plant 1.

[0045] Next, the detailed configuration of the operation management support display unit 25 will be described. FIG. 2 is a block diagram illustrating an example of the configuration of an operation management support display unit of the management support display device of one embodiment.

[0046] The operation management support display unit 25 includes a display content calculation unit 201 and a display unit 202. The display content calculation unit 201 includes a storage unit 203, a cost calculation unit 204, a difference calculation unit 205, a graph calculation unit 206, a change rate calculation unit 207, and a log display adjustment unit 208.

[0047] The storage unit 203 stores treated water quality information, including the predicted values ​​of treated water quality and operating conditions calculated by the water quality reaction model prediction unit 23, and the predicted values ​​of treated water quality and operating conditions calculated by the statistical calculation unit 22. The storage unit 203 may also store predicted values ​​of the amount of sludge generated as a result of flocs settling in the settling basin 7, and the rate of rise in the water level of the sand filter basin 8, which is an index of clogging of the sand filter basin 8.

[0048] Here, the calculation results of the predicted values ​​stored in storage unit 203 include not only the calculation results of the predicted values ​​of the treated water quality calculated under the current raw water quality and chemical injection rate conditions, but also the calculation results of the predicted values ​​(trial calculation values) of the treated water quality calculated under arbitrarily set raw water quality and chemical injection rates. As a result, storage unit 203 stores data on the predicted values ​​(trial calculation values) of the treated water quality when the calculation conditions of the predicted values ​​(plant operating conditions) are changed, such as a change in the chemical injection rate.

[0049] The storage unit 203 may receive input of an arbitrary setting value based on operation information from a user's operation, and may store a new predicted value of the treated water quality and operating conditions each time the water quality reaction model prediction unit 23 calculates a predicted value of the treated water quality using the arbitrary setting value, or may store multiple estimated values ​​obtained by changing the calculation conditions for the estimated value (for example, using an arbitrary setting value set by the user). The storage unit 203 may also store some of the actual data (including current values) stored in the data collection and storage unit 21, such as the amount of coagulant used, the rate of water level rise (resistance rise) in the sand filter basin 8, and the amount of sludge generated.

[0050] The cost calculation unit 204 calculates cost-related items such as the amount of coagulant used, the cost of cleaning the sand filter basin 8, and the cost of disposing of sludge. The cost calculation unit 204 converts the amount of coagulant used, the rate of rise in the water level (resistance rise) of the sand filter basin 8, the amount of sludge generated, and other data stored in the data collection and storage unit 21 into costs based on the respective basic units. The cost calculation unit 204 associates the obtained costs with the corresponding current values ​​or corresponding estimated values ​​and stores them in the storage unit 203.

[0051] For example, the unit cost of a flocculant is the cost of purchasing the flocculant per ton. The unit cost varies depending on the purchase amount, purchase location, and purchase time, so it may be set arbitrarily. The cost calculation unit 204 can calculate the cost of cleaning the sand filter basin 8 from the rate of water level rise. The sand filter basin 8 needs to stop operation and be cleaned when it reaches a certain water level. Since the sand filter basin 8 is cleaned using power from a pump or the like, the more frequently it is cleaned, the higher the cleaning cost. The cost calculation unit 204 can calculate the cost of cleaning the sand filter basin 8 by calculating the cleaning interval for the sand filter basin 8 using the rate of water level rise and the upper limit water level information (set value) for cleaning.

[0052] The cost calculation unit 204 uses a conversion factor when calculating the sludge disposal cost from the amount of sludge generated. The conversion factor converts the amount generated into cost, and is, for example, the disposal cost per ton of sludge. Sludge may be collected by an industrial waste disposal company or processed by a sludge disposal machine. Even when processed by machine, the conversion factor can be calculated from the electricity cost used, etc.

[0053] The cost calculation unit 204 converts the cost into a cost corresponding to the estimated value of the treated water quality under each calculation condition stored in the storage unit 203, and stores the obtained cost in association with the corresponding estimated value in the storage unit 203. As a result, the storage unit 203 stores the cost corresponding to the current value, the cost corresponding to the estimated value of the treated water quality obtained by arbitrarily changing the calculation conditions such as the chemical injection rate, and the like.

[0054] The difference calculation unit 205 calculates the difference (= trial calculation value - current value) between the current calculation result (trial calculation value) of the predicted value of the treated water quality and the current value. Items for which the difference is calculated include, for example, the calculation results of the predicted value (trial calculation value) of the treated water quality, such as turbidity after treatment, aluminum concentration, coagulant injection rate, amount of sludge generated, and rate of rise in the water level of the sand filter basin 8. The differences calculated by the difference calculation unit 205 are not limited to the above items, and the difference between the respective trial calculation values ​​and current values ​​may also be calculated for the pH value used in the water quality reaction model prediction unit 23 and the cost of each condition calculated by the cost calculation unit 204.

[0055] The graph calculation unit 206 generates graph display data for visualizing the current trial value and the current value in a graph and displaying their changes in a visually easy-to-understand manner. The graph used for visualization may be, for example, a trend graph or a bar graph. For example, if a bar graph of the current trial value and a bar graph of the current value are arranged side by side, the difference in the height of the bar graphs makes it possible to visually grasp the difference between the current trial value and the current value.

[0056] The change rate calculation unit 207 calculates the rate of change ((calculated value - current value) / current value x 100[%]) of the current estimated value for each corresponding item when the current value is set to 100%. Items for which the change rate is calculated include, for example, the turbidity after treatment, the aluminum concentration, the coagulant injection rate, the amount of sludge generated, and the rate of rise in the water level in the sand filter basin 8, which are the calculation results of the predicted value of the treated water quality. The items for which the change rate calculation unit 207 calculates the change rate are not limited to those mentioned above, and the change rate between each estimated value and the current value may be calculated for the pH used in the water quality reaction model prediction unit 23 and the cost under each condition calculated by the cost calculation unit 204.

[0057] The log display adjustment unit 208 has a function of adjusting the display of any log from among multiple estimated value results stored in the storage unit 203. The log display adjustment unit 208 can extract actual values ​​for a predetermined period for preset items and generate data for log display. For example, when the items to be displayed in the log are changed by a user operation, the log display adjustment unit 208 can generate data for log display according to the user operation. Specifically, the log display adjustment unit 208 can display logs that the user determines are necessary, and can delete items that the user later determines are unnecessary from the data for log display. Furthermore, the log display adjustment unit 208 may protect information on important items or log information for a predetermined period, such as highly important log information that can be used in the future, and prevent it from being deleted from the data for log display.

[0058] Furthermore, the estimated values ​​include a mixture of logs in which raw water quality information is estimated using current values ​​and logs in which the user has estimated the raw water quality using an arbitrary setting, but the log display adjustment unit 208 can distinguish between these and display results categorized by conditions set by the user. Specifically, the log display adjustment unit 208 can display logs of values ​​estimated using current values ​​and logs of values ​​estimated using set values ​​in different colors, and can also display results categorized by a data filter based on conditions set by the user.

[0059] FIG. 3 is a diagram schematically illustrating an example of the configuration of the display unit of the operation management support display unit shown in FIG. The display unit 202 includes a monitoring screen (monitor) presented to the user. The display unit 202 displays information for supporting the user on the monitoring screen using display data obtained from the storage unit 203, the difference calculation unit 205, the graph calculation unit 206, the rate of change calculation unit 207, and the log display adjustment unit 208. The monitoring screen of the display unit 202 includes at least one of a current value display unit 209, a difference display unit 210, a graph display unit 211, and a change rate display unit 212. In response to a user operation, the display unit 202 can enlarge a display unit with high importance or can hide a display unit with low importance.

[0060] 4A is a diagram schematically showing an example of a display on the current value display unit shown in FIG. 3. FIG. The current value display unit 209 can display at least one of the calculation conditions (e.g., information on raw water quality and information on chemical injection rate) used to calculate the predicted value of the treated water quality by the water quality reaction model prediction unit 23 and the statistical calculation unit 22, the predicted value of the treated water quality, the amount of sludge generated, the rate of water level rise, and the cost calculated by the cost calculation unit 204. In the example shown in Fig. 4A, the current value of the information on raw water quality used to calculate the predicted value (trial calculation value) of the treated water quality and the current value of the chemical injection rate are displayed.

[0061] FIG. 4B is a diagram schematically illustrating an example of a display in the difference display section shown in FIG. The difference display unit 210 displays the difference between the current value and the estimated value calculated by the display content calculation unit 201. The difference displayed on the difference display unit 210 is the difference between the current value and the estimated value of the post-treatment turbidity, which are predicted values ​​(estimated values) of the treated water quality, such as the turbidity, aluminum concentration, coagulant injection rate, sludge generation amount, and water level rise rate in the sand filter basin 8. The difference displayed on the difference display unit 210 is not limited to the above, and may be, for example, the difference between the current value and the estimated value of the pH used in the calculation by the water quality reaction model prediction unit 23 or the cost of each condition calculated by the cost calculation unit 204. The difference display unit 210 may simultaneously display differences for multiple items. Furthermore, if multiple estimated values ​​can be presented to the user, the difference display unit 210 may simultaneously display differences for multiple items for each of the multiple estimated values.

[0062] 4B, the current value, estimated value, and difference value are displayed for each of a plurality of items. The user can input the calculation conditions for the estimated value (the set values ​​used to calculate the estimated value) on the monitoring screen and select (click) the "Estimate" button to input, as operation information, a command to calculate the estimated value based on the input calculation conditions into the management support display device 20.

[0063] The difference in the coagulant injection rate displayed by the difference display unit 210 is a value that can be used to adjust the coefficient of the feedforward control that is generally used in the water purification plant 1. Specifically, the feedforward function is constructed using a function such as (coagulant injection rate) = f(x) + c, and the variable corresponding to x in the above function is raw water quality information such as raw water turbidity and raw water alkalinity. The c value of the above feedforward function is a setting value that is fine-tuned by the user. Here, the c value is often adjusted based on the experience of veteran staff. Therefore, the user can obtain information regarding the adjustment of the c value from the value displayed by the difference display unit 210.

[0064] FIG. 4D is a diagram schematically showing an example of the display of the graph display section and the rate of change display section shown in FIG. The graph display unit 211 displays an image of a graph based on the graph display data generated by the graph calculation unit 206. The graph displayed on the graph display unit 211 is, for example, a bar graph for each item.

[0065] Regarding costs, the graph display unit 211 may display a bar graph in which multiple cost-related items are stacked. Specifically, it is possible to display stacked bar graphs of the cost related to the coagulant, the cost related to the amount of sludge generated, and the cost related to cleaning the sand filter basin 8. Furthermore, by stacking the bar graphs in the graph display unit 211 from the bottom up in order of the smallest (or largest) percentage of the total cost, it is possible to highlight items that contribute more to costs. In the example shown in FIG. 4D, for each of the current value and the estimated value, an example is displayed in which bar graphs of the cost related to cleaning the sand filter basin, the cost related to the amount of sludge generated, and the cost related to the coagulant are stacked from the bottom up (from 0 on the bar graph) in order of the smallest percentage of the total cost.

[0066] Furthermore, the graph display unit 211 can present the user with the treatment flow and costs associated with each other by arranging bar graphs from top to bottom (or bottom to top) in the order of the water flow of the treatment flow of the water purification plant 1. The graph display unit 211 may color-code the bar graphs by item so that differences in costs can be easily visually grasped. For example, the cost related to the coagulant may be displayed in red, the cost related to the amount of sludge generated in blue, and the cost related to cleaning the sand filter basin 8 in yellow, and a graph of the total cost obtained by adding these up may be displayed with each item color-coded.

[0067] Furthermore, when a bar graph is displayed on the graph display unit 211, in order to represent an increment or decrement from the current value in the bar graph, the height of the bar graph for the current value may be fixed (100%), and the bar graph for the estimated value may be displayed as a bar graph in which the increment or decrement from the current value is varied. In this case, if the bar graph for the estimated value becomes too large, the height may be set to the maximum value that can be displayed, and the fact that the maximum value has been exceeded may be separately represented.

[0068] The change rate display unit 212 displays the rate of change between the current estimated value calculated by the change rate calculation unit 207 and the current value. The change rate displayed in the change rate display unit 212 is, for example, the rate of change of the predicted value (estimated value) of the treated water quality, such as the turbidity after treatment, the aluminum concentration, the coagulant injection rate, the amount of sludge generated, or the rate of rise in the water level in the sand filter basin 8. Alternatively, the change rate may be the rate of change of the pH used in the water quality reaction model prediction unit 23 or the cost of each condition calculated by the cost calculation unit 204. The change rate displayed in the change rate display unit 212 may be displayed in a position linked to the bar graph in the graph display unit 211, or the change rate display unit 212 and the graph display unit 211 may be displayed integrally.

[0069] 4C is a diagram schematically illustrating an example of a display on the log display unit shown in FIG. 3. FIG. The log display unit 213 displays logs (one or more sets of estimated values ​​and corresponding calculation conditions) for one or more items adjusted by the log display adjustment unit 208. Multiple pieces of log information can be displayed simultaneously on the log display unit 213. The logs displayed on the log display unit 213 can be arbitrarily deleted, protected, or color-coded by the log display adjustment unit 208.

[0070] Next, an example of the operation of the management support display device of this embodiment will be described. FIG. 5 is a flowchart illustrating an example of the operation of the management support display device according to the embodiment. First, the data collection and storage unit 21 acquires data on raw water quality information and the injection rate of chemicals including a flocculant (step S71). The raw water quality information and the injection rate of chemicals (flocculant, etc.) acquired by the data collection and storage unit 21 are input to at least one of the statistical calculation unit 22 and the water quality reaction model prediction unit 23.

[0071] At least one of the statistical calculation unit 22 and the water quality reaction model prediction unit 23 uses the raw water quality information and chemical (coagulant, etc.) injection rate acquired from the data collection and storage unit 21 to calculate a predicted value (or estimated value) of treated water quality including sediment turbidity by statistical processing of the data stored in the data collection and storage unit 21 or by model prediction using a water quality reaction model (step S72). The statistical calculation unit 22 or the water quality reaction model prediction unit 23 outputs the raw water quality information and chemical (coagulant, etc.) injection rate used to calculate the predicted value, as well as the calculation result of the predicted value, to the storage unit 203.

[0072] The storage unit 203 stores the raw water quality information used to calculate the predicted value, the injection rate of chemicals (such as coagulants), and the calculation results of the predicted value for each prediction time, which are output from the statistical calculation unit 22 or the water quality reaction model prediction unit 23 (step S73). Here, the time when the treated water quality reaches the predicted value due to the realization of the calculation conditions may be separately displayed.

[0073] The cost calculation unit 204 calculates the predicted value and each cost resulting from the calculation conditions of the predicted value based on the raw water quality information, the coagulant injection rate, and the calculation results of the predicted value stored in the storage unit 203. The cost calculation unit 204 stores the calculated cost and information related to the cost in the storage unit 203 in association with the predicted time (step S74). As described above, a log of the cost at the predicted time is accumulated in the storage unit 203.

[0074] The difference calculation unit 205, graph calculation unit 206, rate of change calculation unit 207, and log display adjustment unit 208 perform their respective processes and output the results to the display unit 202 (step S75).

[0075] On the monitoring screen of the display unit 202, the current value information is displayed in the current value display unit 209, the difference information is displayed in the difference display unit 210, the graph is displayed in the graph display unit 211, the change rate information is displayed in the change rate display unit 212, and the log information is displayed in the log display unit 213 (step S76).

[0076] If the user requests additional calculation of predicted values ​​(YES in step S77), the system retrieves any raw water quality or chemical injection rate conditions entered by the user (step S78) and uses them as input information for calculating the predicted values, repeating the process from step S71 onward. This adds a log of one set (predicted values ​​and a series of values ​​related to the predicted values) at the specified prediction time. If the user does not request additional predictions (NO in step S77), the process ends. When the above processing is completed, the management support display device outputs the plant operating conditions to the plant operation unit 26 as necessary (or in response to a user operation) (step S79). If the processing is completed by simply presenting the estimated values ​​of treated water quality and the cost processing results to the user, step S79 can be omitted.

[0077] As described above, the management support display device 20 can support the user's decisions and actions by providing the user with information (for example, information on both water quality and cost) used to inject more appropriate amounts of chemicals such as flocculants at the water purification plant 1 in a manner that allows comparison between current values ​​and predicted values ​​(estimated values). This allows the user to make decisions taking water quality and cost into consideration, and reduce excessive injection of chemicals to the required amount. Saving chemicals can reduce the costs of operating and managing the water purification plant 1 for the following three reasons.

[0078] (1) The amount of chemicals such as coagulants used can be reduced. (2) By further reducing the possibility of excess chemicals such as coagulants, it is possible to reduce the frequency of clogging in the sand filter basin 8 due to the influence of residual aluminum generated by excess chemicals. As the frequency of clogging decreases, it is possible to reduce the frequency of cleaning the sand filter basin 8. (3) Sludge that contains a lot of residual aluminum due to an excess of chemicals such as coagulants tends to have a high water content and requires a longer drying time. However, by reducing the possibility of excess chemicals such as coagulants, it is possible to prevent the sludge from requiring a longer drying time. That is, according to this embodiment, it is possible to provide a management support display device, a management support display method, and a management support display program that support appropriate operation in the operation management of a water treatment plant.

[0079] In the management support display device 20 of this embodiment, the data collection and storage unit 21 may be configured in any manner to collect data measured by the flowmeters 2a-2d, the water temperature meter 10, the turbidity meter 11, the pH meter 12, the flowmeter 13, and the sedimentation tank outlet turbidity meter 14. The data collection and storage unit 21 may, for example, collect measured data via wired or wireless communication, such as via a network such as the Internet, or via a dedicated line. For example, the data collection and storage unit 21 may be configured based on the Internet, such as cloud computing. In this case, the management support display device 20 may be configured to include a management support device including a statistical calculation unit 22, a water quality reaction model prediction unit 23, a parameter adjustment unit 24, and an operation management support display unit 25, and access the data collection and storage unit 21 on the cloud from the management support device.

[0080] In the above-described embodiment, each functional unit in the management support display device 20 is a software functional unit, but it may also be a hardware functional unit such as an LSI. Also, each functional unit in the management support display device 20 may be configured using a PCL (programmable logic controller). In the above-described embodiment, a water purification plant process is shown as an example of the process that the management support display device 20 supports, but the present invention can be applied to any process in which raw water is purified using chemicals.

[0081] Furthermore, when the functions of the management support display device 20 described above are implemented by software, the programs for implementing those functions may be recorded on a computer-readable recording medium and loaded into a computer system for execution. Note that the term "computer system" as used herein includes hardware such as an operating system (OS) and peripheral devices. Furthermore, the term "computer-readable recording medium" refers to portable media such as flexible disks, optical magnetic disks, ROMs, and compact disks (CDs)-ROMs, as well as storage devices such as hard disks built into computer systems. Furthermore, the term "computer-readable recording medium" also includes devices that retain programs for a certain period of time, such as volatile memory (RAM) within computer systems that act as servers or clients when a program is transmitted over a network such as the Internet or a communication line such as a telephone line.

[0082] The above program may be transmitted from a computer system storing the program in a storage device or the like to another computer system via a transmission medium or by transmission waves in the transmission medium. Here, the "transmission medium" that transmits the program refers to a medium that has the function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line.

[0083] The above program may also be a program for realizing some of the above functions. Furthermore, the above program may be a so-called differential file (differential program) that can realize the above functions in combination with a program already recorded in the computer system.

[0084] Although several embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be embodied in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included within the scope and spirit of the invention, and are also included in the scope of the invention and its equivalents as defined in the claims. [Explanation of symbols]

[0085] 1...water purification plant, 2a-2d...flow meter, 3...receiving well, 4...activated carbon contact basin, 4a...sampling pump, 5...mixing basin, 6...flocculation basin, 7...sedimentation basin, 7a...sampling pump, 8...sand filter basin, 9...clean water basin, 10...water thermometer, 11...turbidity meter, 12...PH meter, 13...flow meter, 14...sedimentation basin outlet turbidity meter, 15...coagulant dosage control unit, 16...coagulant dosage equipment, 17...pH adjuster dosage control unit, 18...pH adjuster dosage equipment, 20...management support display device, 21...data collection Storage unit, 22... statistical calculation unit, 23... water quality reaction model prediction unit, 24... parameter adjustment unit, 25... operation management support display unit, 26... plant operation unit, 27... prediction unit, 201... display content calculation unit, 202... display unit, 203... storage unit, 204... cost calculation unit, 205... difference calculation unit, 206... graph calculation unit, 207... change rate calculation unit, 208... log display adjustment unit, 209... current value display unit, 210... difference display unit, 211... graph display unit, 212... change rate display unit, 213... log display unit

Claims

1. a prediction unit that calculates a predicted value of treated water quality indicating the quality of the raw water into which the chemical has been injected, using at least one of water quality information on the quality of raw water, injection information on the injection of chemicals into the raw water, and set values ​​of the water quality information and injection information set by a user; a management support display unit that sets the water quality information on the quality of the raw water and the injection information on the injection of the chemical into the raw water as current values, sets the predicted values ​​calculated using the set values ​​as trial values, and presents the current values ​​and the trial values ​​to a user in a manner that allows them to be compared; The management support display device includes a cost calculation unit capable of calculating a cost corresponding to the current value and a cost corresponding to the estimated value, and presents the corresponding costs to the user in association with each of the current value and the estimated value.

2. The management support display device described in claim 1, wherein the management support display unit stores log information including at least the estimated value and information used to calculate the cost corresponding to the estimated value in association with the predicted time of the estimated value, and is capable of presenting multiple pieces of log information to a user.

3. The management support display device according to claim 1, wherein the management support display unit includes a difference calculation unit that calculates the difference between the estimated value and the current value for at least one of the estimated value and the information used to calculate the estimated value, and is capable of presenting a plurality of the differences to the user.

4. 2. The management support display device according to claim 1, wherein the management support display unit includes a difference calculation unit that calculates the difference between the estimated value, the information used to calculate the estimated value, and the current value and at least one of the cost, and is capable of presenting a plurality of the differences to the user.

5. the management support display unit includes a graph calculation unit that generates graph display data for a graph that displays the trial calculation value, the calculation conditions for the trial calculation value, and the corresponding items of the current value in a manner that allows comparison; The management support display device according to claim 1 , wherein a graph of the items corresponding to the trial calculation values ​​or the calculation conditions for the trial calculation values ​​and the current values ​​can be presented to a user.

6. the management support display unit includes a change rate calculation unit that calculates a change rate of the estimated value relative to the current value for an item corresponding to the current value and the estimated value; The management support display device according to claim 1 , wherein a plurality of said change rates can be presented to the user.

7. calculating a predicted value of treated water quality indicating the quality of the raw water after treatment with the injected chemicals, using at least one of water quality information on the quality of the raw water, injection information on the injection of chemicals into the raw water, and set values ​​of the water quality information and injection information set by a user; The water quality information regarding the quality of the raw water and the injection information regarding the injection of the chemical into the raw water are set as current values, and the predicted values ​​calculated using the set values ​​are set as trial values; Calculating a cost corresponding to the current value and a cost corresponding to the estimated value; The management support display method presents the costs associated with the current value and the estimated value to the user in a manner that allows the current value and the estimated value to be compared.

8. A management support display program that causes a computer to execute the method according to claim 7.

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