JP7221584B2 - Operation support equipment for water treatment facilities - Google Patents

Description

TECHNICAL FIELD The present invention relates to an operation monitoring device for water treatment facilities, and in particular, provides a monitoring operation screen that intuitively captures fluctuations in water quality values (for example, turbidity, pH, water temperature, etc.) necessary for operation monitoring in water purification facilities. .

At the water purification plant, a settling basin is used to remove large-sized turbidity particles contained in raw water taken from the water source, and chemicals are added to coagulate small-sized sand that cannot be removed in the water disinfection and settling basins. Water that has passed through a chemical mixing basin (hereinafter referred to as floc formation), a sedimentation basin that settles the flocs formed in the chemical mixing basin, and a filter basin that filters the water flowing from the sedimentation basin with layers of sand and gravel of different grain sizes. is supplied as domestic water.

In recent years, rapid changes in raw water quality due to abnormal weather have frequently occurred. For example, when local heavy rain falls in a short period of time, such as a guerrilla downpour, the raw water taken from the water source suddenly turns into turbid water (high turbidity) containing many large turbid particles. Subject to change. In addition, once highly turbid water flows through equipment in a water purification plant, the effects of turbidity substances remaining in the equipment not only cause the highly turbid water to be sent for several days, but also require cleaning of the equipment in the water purification plant. Must. In order to supply raw water with high turbidity that fluctuates in a short period of time as domestic water, water quality management must be more thorough than before.

Water quality management at a water purification plant is based on water quality standard items such as pH, turbidity, residual chlorine concentration, alkalinity, conductivity, etc. Depending on the measured value of , for example, an operation such as adding an appropriate amount of coagulant is manually performed by the operator. In this water quality control method, only an operator who can determine the amount of coagulant to be administered from the measured water quality value in advance can monitor the operation of the water purification plant.
In addition, when localized heavy rain falls in a short period of time, such as the aforementioned guerrilla downpour, water quality management as usual becomes difficult due to sudden fluctuations in water quality values.
Therefore, in order to solve such problems, it is necessary to construct a simulator (hereinafter referred to as a process simulator) that simulates sudden fluctuations in water quality values on a computer equipped with a display device.

For example, Patent Literature 1 discloses a method of predicting future water volume changes in a water purification plant.

JP-A-1-204113

When building a process simulator for a water purification plant, using a process simulator for petroleum refining, petrochemicals, gas, and power generation (hereinafter referred to as a chemical process simulator), for example, settling basin, chemical mixing basin, sedimentation basin, filtration basin It is necessary to build a process model that simulates the behavior in water purification plant equipment such as.
The process model is a mathematical model in which physical and chemical phenomena such as ion equilibrium in the water purification plant are expressed appropriately.
A process simulator for a water purification plant has a process model in which the physical and chemical phenomena for simulating the operation of the water purification plant are appropriately expressed in mathematical form, and has a simulation function to simulate the operation of the water purification plant.

In addition, the chemical process simulator includes standard equipment units such as tanks, pumps, valves, and piping that are scattered in petroleum refining, petrochemical, gas, and power generation plants, as well as various components (methane , ethane, propane, nitrogen, etc.). Using the equipment units and the database, it is possible to construct a model formula (hereinafter referred to as a plant model) in which physical phenomena and chemical phenomena for simulating the operation of the plant are expressed appropriately.

However, when simulating the behavior of a process simulator for a water purification plant using a chemical process simulator, the components related to water quality specific to the water purification plant are not registered in the database on the chemical process simulator. An engineer must newly select a wide variety of components in water such as organic matter and turbidity and register them in a database. Furthermore, the water quality of the water source is different for each water purification plant, which makes the work of engineers complicated.
Here, water quality values such as pH, turbidity, residual chlorine concentration, alkalinity, conductivity, etc., which are important for operation monitoring at water purification plants, are the ratios of various components dissolved in water, and reactions, ion It is a parameter that is measured as a generic term resulting from mutual interference between components such as equilibrium. Therefore, if the components related to the water quality value cannot be accurately registered in the database, it is impossible to simulate the change in the water quality value in the water purification process that occurs within the facility of the water purification plant.

A unit related to water purification plant equipment is not included in the standard equipment units provided in the chemical process simulator. Therefore, when simulating changes in water quality values at a water purification plant, it is necessary to simulate changes in water quality values using a complicated program, which complicates the work of engineers.
In addition, many chemical process simulators are for petrochemical plants, so they do not have a function to calculate water quality values (pH, turbidity, residual chlorine concentration, alkalinity, etc.) unique to water purification plants. can't

In addition, engineers can use multiple types of standard equipment units provided in the chemical process simulator to construct a process model unique to the water purification plant and operate the process simulator. However, conventionally, if only the simulation results for each facility in the water purification plant are displayed in the same configuration as the operation monitoring screen in the actual water purification plant, the water quality value cannot be grasped intuitively. Furthermore, since it is not possible to grasp abrupt changes in water quality values caused by torrential rain, operators cannot perform accurate water quality management.

Therefore, the present invention can intuitively grasp the measured value of the water quality value of the entire water purification plant, and it is possible to measure the rapid fluctuation of the water quality value in the water purification process caused by the rapid water quality fluctuation of the raw water such as a guerrilla rainstorm. The purpose is to provide a process simulator for water purification plants that can simulate

In order to solve such problems, the invention according to claim 1 of the present invention,
An operation support device that simulates the behavior of a water quality value indicating the quality of water to be treated in equipment in a water treatment process based on equipment modules,
The equipment module includes:
Consists of attribute information of the equipment and a calculation formula that simulates the behavior of the water quality value corresponding to the physical phenomenon occurring in the equipment,
It is characterized by having a connection part for handling a calculated value calculated by another equipment module corresponding to another equipment as an input, or handling a calculated value calculated by the own equipment module as an input for another equipment module. .

The invention according to claim 2 is the driving support device according to claim 1,
The facility module is characterized by comprising a display control section for displaying on a display screen in a predetermined shape corresponding to the facility.

The invention according to claim 3 is the driving support device according to claim 1 or claim 2,
The attribute information of the facility includes information related to the dimensions of the facility, information identifying the facility, and constants or coefficients related to the calculation formula,
It is characterized by comprising a storage unit for storing at least one of information on the equipment and connection information between the own equipment module and other equipment modules handled by the connection unit.

The invention according to claim 4 is the driving support device according to any one of claims 1 to 3,
The attribute information of the facility is
It is characterized in that it can be changed according to equipment in the water treatment facility.

An operation support device that simulates the behavior of a water quality value indicating the quality of water to be treated in a facility in a water treatment process based on a facility module. Consists of a calculation formula that simulates the behavior of the corresponding water quality value, and the calculated value calculated by another equipment module corresponding to other equipment is input, or the calculated value calculated by the own equipment module is used by other equipment By providing a connection section that is treated as an input of a module, it is possible to simulate changes in water quality values at a water purification plant by connecting equipment modules to each other without creating a complicated program.

It is a block diagram which shows the structural example of a general water purification plant. 1 is a configuration diagram showing a configuration example of a driving support monitoring device of the present invention; FIG. 1 is a configuration diagram showing a configuration example of an arithmetic control device in a driving support monitoring device of the present invention; FIG. It is a figure which shows one Example of the driving-monitoring screen which the driving-support monitoring apparatus of this invention outputs. It is a figure which shows one Example of the driving-monitoring screen which the driving-support monitoring apparatus of this invention outputs. FIG. 3 is a configuration diagram showing a configuration example of a simulation unit in the driving support monitoring device of the present invention; 4 is a flow chart showing an example of the operation of a simulation unit in the driving support monitoring device of the present invention; 4 is a flow chart showing an example of the operation of displaying the driving support monitoring device of the present invention; FIG. 10 is a configuration diagram showing a configuration example of a second embodiment of the driving support monitoring device of the present invention; It is a figure which shows the structural example of the component database of 2nd Example in the driving assistance monitoring apparatus of this invention. 4 is a flow chart showing an example of the operation of the parameter conversion unit of the present invention; 4 is a flow chart showing an example of the operation of calculating water quality values from detailed composition values of water according to the present invention. 4 is a flow chart showing an example of operation for calculating detailed water composition values from water quality values according to the present invention. It is a figure which shows an example of the equipment module memorize|stored in the process simulation part of this invention. FIG. 3 is a configuration diagram showing a configuration example of an equipment module of the present invention; 5 is a flow chart showing an example of an operation for restarting power supply from an I/O module of the present invention;

<Overview>
The present invention provides an operation monitoring device equipped with a process simulator for water purification plants that simulates rapid fluctuations in water quality values such as pH, turbidity, residual chlorine concentration, alkalinity, and electrical conductivity due to abnormal weather such as torrential rain. intended to provide
In addition, when providing an operation monitoring device equipped with this process simulator for water purification plants, it is possible to intuitively grasp sudden changes in the behavior of water quality values, and to provide an operation support monitoring screen that enables accurate judgments to be made. There is a need.
Furthermore, in order to simulate the behavior of sudden water quality values like the behavior that actually occurs in the water purification plant equipment, it is possible to predict the water quality value for each equipment in the water purification plant, and to build a process model that matches the configuration of the water purification plant equipment. There is a need.

In order to solve the above-described problems, the inventors of the present invention have developed a driving support monitoring system that can intuitively grasp rapid changes in water quality values and make accurate judgments, as shown below. We have newly invented an operation monitoring device equipped with a process simulator in a water purification plant equipped with a process model that simulates the behavior of abruptly changing screens and water quality values like the behavior that actually occurs in the equipment in the water purification plant. The operation monitoring device provided with this process simulator will be described in detail below.

<Example 1 Configuration example of operation monitoring device in water purification plant>
In the first embodiment, a process simulator used as an operation monitoring system or an operation training support device, especially its operation monitoring screen will be described.
Hereinafter, a detailed description of the operation monitoring device in a water purification plant according to the present invention will be given with reference to the drawings. FIG. 1 shows an overview of facilities and an operation monitoring device in a water purification plant, and FIG. 2 shows a configuration example of the operation monitoring device according to the present invention.

In FIG. 1, water quality values such as pH, turbidity, residual chlorine concentration, alkalinity, conductivity, etc. One or more meters or measuring devices 121-124 are provided for taking measurements. The installed measuring instruments or measuring devices 121-124 may be different types of measuring devices 121-124 depending on each installation point or each measurement object, and these devices may be connected to the connection line (not shown) to obtain the measured value. Alternatively, it is transmitted to the operation monitoring system installed in the central monitoring room 100 or the like via the wired or wireless network 131 . The operation monitoring system displays the received water quality values on a display device provided in the operation monitoring system for each measurement point and water quality value.

Here, the process simulator at the water purification plant provides an environment equivalent to the display in the actual operation monitoring of the water purification plant as described above. The water quality values at the measurement points of the water purification plant facilities 111 to 114 are displayed on the display device 141, respectively. Since each water quality value measurement point differs depending on each water purification plant, the process simulator can also arbitrarily select the measurement point.
The process simulator may be prepared in the display device for monitoring the operation of the water purification plant, or a separate display device may be prepared for the process simulator.

In addition, the measuring instruments or measuring devices 121-124 are flowmeters, thermometers, pH meters, conductivity meters, turbidity meters, residual chlorine meters, alkalinity meters, field instruments used for water quality management at water purification plants, analysis shows the total.

FIG. 2 shows a configuration example of the operation monitoring device 2 that displays the measurement values acquired from each measurement point in the facilities 111 to 114 in the water purification plant on the operation monitoring terminal 141. As shown in FIG. The operation monitoring device of the present invention comprises an input unit 21, a transmission/reception unit 22, a storage unit 23, a display unit 24, and an arithmetic control unit 3.

The input unit 21 inputs simulation parameters related to measured values obtained from the measuring device 121 and used for simulation calculations. Note that the input unit 21 may be, for example, an input device such as a keyboard, mouse, or screen panel.

The transmitting/receiving unit 22 receives measurement values related to water quality values such as pH, turbidity, residual chlorine concentration, alkalinity, conductivity, etc. from the measurement devices 121 installed at each measurement point in the equipment in the water purification plant, and the transmission source measurement device 121 receives a unique identification indicating the
Although it has been described that the measured value of the water quality value received by the transmitting/receiving unit 22 is received from the measuring device 121, it is not limited to this. , or input from the input unit 21, which is an input device such as a keyboard, mouse, screen panel, or the like.
Also, the user may preset the timing at which the transmitter/receiver 22 receives the measured value.
The transmitting/receiving unit 22 is connected to the measuring device 121, the network cable, the input unit 21, etc., such as a network interface or a USB connection port.

The storage unit 23 stores, for each measurement point, the water quality value measured at each measurement point received from the data update unit 312 in the arithmetic and control unit, which will be described later. As for the method of storing the water quality values by the storage unit 23, a database may be provided for each measurement point and stored in each database, or the water quality values may be stored for each measurement point in a matrix format.
When storing water quality values in the storage unit 23, a database may be provided for each water quality value such as pH, turbidity, residual chlorine concentration, alkalinity, and electrical conductivity in addition to each measurement point.
The method of storing the measured water quality value at each measurement point in the storage unit 23 may be set using the engineering terminal 25 .

In addition, the storage unit 23 stores the water quality values acquired by the measuring device 121 installed in the facility in the water purification plant, together with the time data and the measurement point data received by the transmission/reception unit, in time series and in order to perform simulated calculations in the simulation unit, which will be described later. Store for each location. When the simulation calculation is performed, the parameter conversion unit 3111 (to be described later) calls the stored water quality value from the storage unit 23 .

Furthermore, the storage unit 23 stores estimated values calculated as a result of a process simulation unit 3114 configured in a simulation unit 311 described later executing a simulation of water quality values in a water purification plant based on a process simulation model 3115 as time data and a measurement point. It is stored in chronological order and for each measurement point together with the data.

In addition, the storage unit 23 stores the water quality values in the average climate at each measurement point of the equipment in the water purification plant, for example, when there is no sudden weather change (no guerrilla downpour) and the average climate is normal. Since normal water quality values vary depending on the season, a plurality of types of normal water quality values may be stored for each season.
Note that the storage unit 23 may exist on a local network or on a system that implements cloud computing via the Internet.

The display unit 24 displays the water quality value at each measurement point as a display screen for displaying the water quality of the entire water purification plant as shown in FIG.

FIG. 3 shows a configuration example of the arithmetic and control device of FIG. The arithmetic and control device of the present invention is composed of a control section 31 composed of a simulation section 311 and a data update section 312 and a display control section 32 .

The control unit 31 controls the measurement values received by the transmitting/receiving unit 22, the identification signal, and the equipment of the water purification plant in which each measurement point in the equipment in the water purification plant and the identification information of the measuring device 121 stored in advance in the storage unit 23 are associated. Based on the definition information, the measurement value and the measurement point are associated.
In addition, the measurement values received by the transmitting/receiving unit 22 may be received in a state in which each measurement point and the measurement value in the water purification plant equipment are associated with each measurement point and the measurement value in the water purification plant equipment. , the measurement device 121 installed at the measurement point is associated by setting in advance unique identification information indicating the measurement point.
The transmitter/receiver 22 transmits the received measurement values to the control unit 31 composed of the simulation unit 311 and the data update unit 312 .

When the simulation unit 311 receives the measured value of the water quality value from the transmission/reception unit 22, the simulation unit 311 calculates the estimated value of the water quality value by simulating the state at the time of measurement at each measurement point based on the process model, and from the calculated estimated value Predicted water quality values at future times at each measurement point, for example, after 5 minutes, 10 minutes, 60 minutes, and 120 minutes, are calculated. A detailed configuration example of the simulation unit 311 will be described later.
Also, the estimated values and predicted values calculated by the simulation unit 311 are transmitted to the data update unit 312 in a state associated with each measurement point.

The data updating unit 312 stores the measured water quality value at each measurement point of the facility in the water purification plant received from the input unit 21 and/or the estimated and predicted water quality value at each measurement point received from the simulation unit 311. Stored in unit 23 . The timing at which the data updating unit 312 stores the data in the storage unit 23 may be set in advance, or may be in accordance with the timing at which the data updating unit 312 receives the measured value, the estimated value, or the predicted value from the input unit 21 and the simulation unit 311. good too.

The display control unit 32 extracts the measured value, the estimated value, and the predicted value of the water quality value for each measurement point, which are stored in the storage unit 23, from the preset types of water quality values to be displayed for each measurement point, and displays them. An instruction to display the extracted water quality value for each measurement point is transmitted to the unit 27 . Further, the display control unit 32 transmits to the display unit 24 an instruction to display one or more of the measured value, the estimated value, and the predicted value of the water quality value and the normal water quality value.
The display control unit 32 may select the type of normal water quality value to be displayed from the measured value, the estimated value, and the predicted value of the water quality value, and transmit an instruction to the display unit 24 to display them.
Further, each measurement point and the type of water quality value extracted by the display control unit 32 may be set in advance by the engineering terminal 25 .

The water quality display screen 4 for the entire water purification plant in FIG. Each component will be described in detail below.

In FIG. 4, a raw water quality radar chart 41 is obtained by plotting the water quality values of raw water taken in at a water purification plant on a radar chart. The display unit 24 displays the measured values, estimated values, or predicted values of the raw water quality values plotted on the raw water quality radar chart 41 as shown in FIG.
In FIG. 4, the raw water quality values of pH, turbidity, NH ₃ (ammonia concentration), organic matter concentration, water temperature, and MAlk (alkalinity) are indicated by solid lines. For example, each parameter may indicate that the value increases with distance from the center of the radar chart.

Here, the water quality values refer to water quality standard items necessary for water quality management, such as pH, turbidity, residual chlorine concentration, alkalinity, conductivity, NH ₃ (ammonia concentration), organic matter concentration, and water temperature.
A water quality value measured by the measuring device 121 installed at each measurement point in the water purification plant is called a measured value.
A simulation result of the water quality value at each measurement point by the simulation unit 231 is called an estimated value. Furthermore, the simulation result of the water quality value at each measurement point at a predetermined future or future time is called a predicted value.

In addition, the measured value or estimated value or predicted value related to the water quality value of the raw water is the measurement cycle of the measuring device 121 installed in the equipment in the water purification plant, such as a 10-minute cycle or a 20-minute cycle, or , is updated at the calculation period of the estimated value or predicted value by the simulation unit 231 .
The water quality values to be displayed on the raw water quality radar chart 41 may be selected or changed according to the type of measuring instrument installed in the water purification plant, or the types of water quality values to be displayed may be increased or decreased.

Also, the raw water quality radar chart 41 may display the normal water quality value (for example, the water quality value in each measuring device 121 on a sunny day, etc.) with a dashed line. The normal water quality value is fixed and displayed, but if the normal raw water quality value changes due to seasonal fluctuations, etc., the water quality value may be changed and displayed according to the season.

In this manner, the raw water quality radar chart 41 displays measured values, estimated values, or predicted values of the raw water quality values in solid lines, and normal water quality values in dashed lines, so that the raw water quality at a certain point in time can be intuitively understood. In addition, it is possible to easily grasp whether an abnormal state or an abnormal state is about to occur.
It should be noted that the raw water quality radar chart 41 may display one or two or more of the measured values, estimated values, or predicted values of the raw water quality values.
Further, the raw water quality radar chart 41 may be provided with an enlargement button and a reduction button for switching the display range.

In FIG. 4, the water quality profile graph 42 (421-423) graph has the water quality value on the vertical axis, the measurement point on the horizontal axis, and the measured value, estimated value, or predicted value of the water quality value at each measurement point of the equipment in the water purification plant. is plotted and displayed as a solid line. As shown in FIG. 4, the measurement points indicated by the horizontal axis of the water quality profile graph 42 (421-423) are arranged in the order of process treatment and process flow in the equipment in the water purification plant.
The display control unit 25 displays the horizontal axis of the water quality profile graph 42 (421-423) on the display unit 27 according to the process flow diagram 43 (described later) stored in the storage unit 24. do. Further, the display control unit 25 displays each value on the display unit 24 based on the measured value, estimated value, and predicted value of each water quality value stored in the storage unit 24 at a predetermined cycle.
FIG. 4 shows profiles of measured, estimated, or predicted water quality values of turbidity, pH, and residual chlorine concentration.
In addition, the water quality values displayed in the water quality profile graph 42 (421-423) depend on the monitored object in the water purification plant and the type of measuring instrument installed, for example, water temperature, conductivity, alkalinity, ammonia concentration, organic matter Other water quality values, such as concentration, may be displayed, and measurement points may be increased or decreased.

In addition, the water quality profile graph 42 (421-423) shows, as in the raw water quality radar chart 41, normal water quality values (for example, there is no sudden weather change (no guerrilla downpours, etc.), the average water quality value in each measuring device 121 of the typical climate) is displayed with a dashed line. The normal water quality value is displayed as fixed, but if the normal value of the water quality value flowing through the water purification plant changes due to seasonal fluctuations, etc., the water quality value may be changed and displayed according to the season. .

In this way, the water quality profile graph 42 (421-423) displays the measured value, estimated value, or predicted value at each measurement point installed in the facility in the water purification plant with a solid line, and displays the normal water quality value with a broken line. By doing so, it is possible to intuitively grasp the water quality at each measurement point at a certain point in time. It can be easily grasped whether or not there is.

One or more of the measured, estimated, or predicted water quality values at each measurement point displayed in the water quality profile graph 42 (421-423) may be displayed at the same time.
Also, the water quality profile graph 42 (421-323) may be provided with an enlargement button and a reduction button for switching the display range.
When a plot of the water quality profile graph 42 (421-423) is selected, the measured value, estimated value, or predicted value at the target measurement point may be displayed.
In addition, along with the water quality profile graph 42 (421-423) graph, the water quality value between each measurement point is displayed as a bar. may be displayed (described later).

In FIG. 4, process flow diagram 43 shows the equipment configuration of the entire water purification plant. The process flow diagram 43 is created by the engineering terminal 28 connected with the operation monitoring device.
In addition, the process flow diagram 43 may be changed according to the configuration of the equipment in the water purification plant, or a photograph of the equipment in the water purification plant may be used.
This process flow chart 43 is stored in the storage unit 24 of the operation monitoring device equipped with the process simulator according to the present invention. The display control unit 25 displays the entire water purification plant equipment, that is, the entire process of the water purification plant on the display unit 27 based on the process flow diagram 43 stored in the storage unit 24 .

Moreover, FIG. 5 is a radar chart of a selected portion on the water quality display screen when an arbitrary portion is selected on the water quality display screen for the entire water purification plant of FIG. When an arbitrary portion is selected from the process flow diagram 43 displayed on the display unit 27 via the input unit 21 of the operation monitoring device, the display control unit 25 displays each water quality value stored in the storage unit 24. Based on the measured values, estimated values, and predicted values, a radar chart is created and displayed on the display unit 27 . More specifically, FIG. 5 is a radar chart 5 of the exit of the chemical mixing pond displayed when the vicinity of the exit of the chemical mixing pond in the process flow diagram 43 is selected. As with the raw water quality radar chart 41 and the water quality profile graph 42 (421-423) graph in FIG. 4, the measured value, estimated value or predicted value at the selected location is displayed with a solid line, and the normal water quality value is displayed with a broken line. .
The type of water quality value displayed on the radar chart may be changed, or the type of parameter may be increased or decreased depending on the selected location.
Also, a radar chart at an arbitrarily selected location may display measured values, estimated values, or predicted values. The measured value, estimated value, or predicted value to be displayed may be a value near the entrance of the facility, near the exit, in the middle of the facility, or at a point calculated by a simulator.
Note that the measured value, estimated value, or predicted value at an arbitrarily selected location may be displayed by a bar whose color changes according to the value.

The constituent elements of the water quality display screen shown in FIGS. 4 and 5 may be changed according to the facility configuration of the water purification plant, the installation location and type of the measuring instrument, and the required specifications for the display unit 27 .

<Specific Configuration Example of Simulation Unit 311>
FIG. 6 shows a configuration diagram showing an embodiment of the simulation unit 311 of the present invention. The simulation unit 311 in FIG. Configured.

The parameter conversion unit 3111 in FIG. 6 is a data format that allows the process simulation unit 3114 to simulate the water quality values stored in the storage unit 23 in chronological order and for each measurement point, which are acquired from the measurement device 121 installed in the equipment in the water purification plant. Convert to Detailed operations of the parameter conversion unit 3114 will be described later.
Parameter conversion section 3111 also transmits the converted data to parameter correction section 3112 .

The process simulation unit 3114 has an ion balance formula, a turbidity calculation formula, a correlation formula, and other calculation formulas necessary for water quality calculation, and a calculation function that converts the above calculation formulas into water quality values and detailed composition values in water, and For example, a process simulation model 3115 composed of a water component database in which organic matter, turbidity, chemical components, etc. are stored is used to perform calculations in parallel with the operation at the water purification plant. The process simulation unit 3114 outputs the calculation result as an estimated value to the display device via the data update unit 312 and the display control unit 32 for display. The output of this process simulation unit 3114 is hereinafter referred to as an estimated value or simulated output. The process simulation model 3115 used by the simulation unit 311 and the calculation method will be described later.
A parameter determination unit 3113 selects a parameter to be modified from the correlation between process data and variables of the process simulation model 3115 .

Furthermore, the parameter determination unit 3113 determines how much the simulation result is affected by changing which parameter that constitutes the process simulation model 3115. Determine and select the parameters that are highly correlated with each other.

The parameter correction unit 3112 converts the water quality value acquired from the measuring device 121 installed in the facility in the water purification plant into the data converted by the parameter conversion unit 3111, particularly the parameter selected by the parameter determination unit 3113. 3113 changes based on the input. This parameter correction unit 3112 changes the parameters so that the estimated value from the process simulation unit 3114 approximates the actual measurement value, which is the water quality value at the water purification plant.
The changed parameters are sent from the parameter correction section 3112 to the process simulation section 3114 .

The process simulation unit 3114 uses the parameters corrected by the parameter correction unit 3112 to calculate the ion balance formula, the turbidity calculation formula, the correlation formula, etc., which are necessary for water quality calculation, and the above calculation formulas. A calculation function that converts detailed composition values, a water component database that stores organic matter, turbidity, chemical components, etc., and physical and chemical phenomena for simulating the operation of water purification plants. Using a process simulation model 3115 composed of a numerical formula model, a process simulation calculation is performed to simulate the operation of each facility in the water purification plant. The estimated values, which are the results of this simulation, are stored in the storage unit 23 in chronological order and for each measurement point along with the time data and the measurement point data.

Based on the calculated estimated value, time data, and information about the measurement point, the process simulation unit 3114 determines the location (including piping) where the measurement device 121 is not installed in the water purification treatment at the water purification plant, for example, the time per treatment. Calculate water quality values (pH, turbidity, residual chlorine concentration, alkalinity, conductivity, etc.) at locations such as sedimentation ponds that require
Further, when calculating a location where no measuring instrument is installed in the water purification process at the water purification plant, the process simulation unit 3114 divides the equipment model in the water purification plant into, for example, 10 equal parts and performs the calculation. As a result, even when the difference in the water quality value is small at the entrance and exit of the equipment in the water purification plant, it is possible to grasp the fluctuation of the water quality value in detail.
As for the estimated value of the location where the measuring device 121 is not installed, the display control unit 25 displays the simulated value calculated at the location by the process simulation unit 3114 on the display unit 24 via the data updating unit 312 and the storage unit 23. You may Also, although the process simulation unit 3114 is described as dividing the equipment model into 10 units for calculation, the present invention is not limited to this.

The process simulation unit 3114 may use the process simulation model 3115 with corrected parameters to perform a simulation in parallel with the operation of each facility in the water purification plant in real time.
Here, the process simulation unit 3114 changes the parameters so that the output from each measurement point in the equipment in the water purification plant and the output of the process simulation model 3115 approximate each other when performing a simulation in parallel with the operation of each equipment in the water purification plant. do.

The initial value creation unit 3116 sets the process simulation result at a predetermined time as an initial value. Here, the initial values refer to initial values such as parameters and setting conditions of the process simulation model 3115 .

In a process simulator that operates concurrently with a water purification plant, when operating at a higher speed than the equipment in the water purification plant and predicting the process behavior after a predetermined time (for example, several minutes or hours ahead), future prediction A unit 3117 (to be described later) receives a process simulation result at a certain time as an initial value via an initial value creation unit 3116 .

The future prediction unit 3117 advances the time of the process simulator based on the received initial value, for example, at a normal speed at which the equipment in the water purification plant operates or at a speed several times to several hundred times the speed at which normal time progresses. The state of the plant at a given future (or future) time is predicted to perform calculations related to the simulation.
Further, the future prediction unit 3117 corrects the parameters (state variables) of the process simulation model 3115 based on the water quality values actually measured from the water purification plant.

The simulation unit 311 is assumed to have functions of a parameter conversion unit 3111, a parameter correction unit 3112, a parameter determination unit 3113, a process simulation unit 3114, a process process simulation model 3115, an initial value generation unit 3116, and a future prediction unit 3117. Although described, it is not limited to this, and any one of these functions operates on different terminal devices and cooperates via a network (not shown), so that the simulation unit according to the present invention H.311 operations may be provided.

<Calculation Procedure of Estimated Value/Predicted Value in Simulation Unit 311>
The simulation unit 311 of the present invention has a function of simulating the estimated and predicted water quality values at each measurement point based on the measured water quality values received from the measuring device 121 installed in the equipment in the water purification plant. FIG. 7 shows a flowchart for calculating the estimated value and the predicted value based on the measured value of the water quality value received from the measuring device 121 installed in the equipment in the water purification plant.

In step S701, the storage unit 23 receives the measured value of the water quality value from the measuring device 121 installed in the facility in the water purification plant via the transmitting/receiving unit 22, and receives the received time data and information on the measurement point along with the time-series and measurement point data. store each (step S701). Also, the parameter conversion unit 3113 receives the stored water quality value from the storage unit 23 .

In step S702, the parameter conversion unit 3111 converts the water quality value at each measurement point received from the storage unit 23 into a data format that can be simulated by the process simulation unit 3114 (step S702). The detailed operation of the parameter conversion unit 3111 will be described later, but the water purification plant process simulator can simulate the behavior of water in the water purification plant using detailed composition values (H ⁺ , HCL, NH _{3 ,} etc.) in water. .
Parameter conversion section 3111 also transmits the converted data to parameter correction section 3112 .

In step S703, the parameter correction unit 3112 converts the water quality value acquired from the measuring instrument installed in the facility in the water purification plant to the parameter conversion unit 3111 based on the parameter selected by the parameter determination unit 3113 and having a high correlation with the simulation result. It is determined whether or not the parameters converted by are required to be modified (step S703).

In step S<b>704 , if it is determined in step S<b>703 that parameter correction is not necessary, the parameter correction unit 3112 transmits the parameters to the process simulation unit 3114 . The process simulation unit 3114 stores calculation formulas such as ion equilibrium formulas, turbidity calculation formulas, and correlation formulas necessary for water quality calculations, and a water component database that stores organic matter, turbidity, chemical components, etc., and Using the process simulation model 3115 composed of , calculation is performed in parallel with the operation at the water purification plant to calculate the estimated value of the water quality value (step S704). The process simulation model 3115 used by the simulation unit 311 and the calculation method will be described later. The process simulation unit 3114 transmits the calculated estimated value of the water quality value to the initial value generation unit 3116 .
In addition, the process simulation unit 3114 stores the calculated estimated value of the water quality value in the storage unit 23 in chronological order and for each measurement point together with the time data and the measurement point data.

In addition, in step S704, the process simulation unit 3114, based on the calculated estimated value, time data, and information about the measurement point, determines the location (including piping) where the measurement device 121 is not installed in the water purification treatment at the water purification plant, for example, The water quality values at locations such as sedimentation ponds where one treatment takes a long time are calculated in parallel with the calculation of the estimated values at each measurement point.
As for the estimated value of the location where the measuring device 121 is not installed, the display control unit 25 displays the simulated value calculated at the location by the process simulation unit 3114 on the display unit 24 via the data updating unit 32 and the storage unit 23. You may In addition, although the process simulation unit 3114 is described as dividing the equipment model into 10 units for calculation, it is not limited to this as long as it can be divided. It's okay.

Furthermore, in step S704, the process simulation unit 3114 performs a simulation in parallel with the operation of each facility in the water purification plant so that the output from each measurement point in the facility in the water purification plant and the output of the process simulation model 4115 approximate You may transmit to the parameter determination part 3113. FIG.

In step S705, if it is determined in step S703 that the data needs to be corrected, the parameter correction unit 3112 corrects the parameters based on the parameters that are highly correlated with the simulation results selected by the parameter determination unit 3113 ( step S705).

In step S706, the initial value creation unit 3116 sets the process simulation result at the predetermined time received from the process simulation unit 3114 as an initial value, and transmits it to the future prediction unit 3117 (step S706).

In step S707, the future prediction unit 3117, based on the initial value received from the initial value creation unit 3116, sets the time of the process simulator to, for example, the normal speed at which equipment in the water purification plant operates or the number of speeds at which normal time progresses. The state of the plant at a predetermined future (or future) time is predicted by increasing the speed from 100 to 100 times, calculations related to the simulation are performed, and predicted values are calculated (step S707).
Further, in step S707, the future prediction unit 3117 may correct the parameters (state variables) of the process simulation model 3115 based on the water quality values actually measured from the water purification plant.

In step S708, the storage unit 23 and the future prediction unit 3117 transmit the estimated value and predicted value of the water quality value calculated in steps S704 and S707 and converted by the parameter conversion unit 3111 to the data update unit 232 (step S708 ).

In addition, in the operation of the simulation unit 311 in the present embodiment, it is described that the estimated value and the predicted value of the water quality value are calculated using the water quality value measured by the measuring device 121 installed in the equipment in the water purification plant, It is not limited to this. For example, a scenario defining a preset time change of water quality values may be used, or an input from the input unit 21, which is an input device such as a keyboard, mouse, screen panel, etc., may be used.

<Procedure for outputting the water quality display screen>
Here, the operation monitoring device in the water purification plant of the present invention calculated using the measured value of the water quality value received from the measuring device 121 installed in the facility in the water purification plant and the measured value by the simulation unit 311 shown in FIG. The operation of displaying estimated values and predicted values in a form that can be intuitively grasped will be described with reference to FIG. FIG. 8 shows a flow chart for explaining the operation of the operation monitoring device of the present invention, which displays the measured values received from the measuring instruments installed in the facilities in the water purification plant, or the estimated values or predicted values calculated using the measured values. .

In step S801, the transmitting/receiving unit 22 receives measured values relating to water quality values such as pH, turbidity, residual chlorine concentration, alkalinity, and electrical conductivity from each measurement point in the water purification plant equipment. Control unit 31 stores these received measurement values in storage unit 23 (step S801). The measurement values received by the transmitting/receiving unit 22 in step S801 are unique identification information indicating each measurement point in the equipment in the water purification plant, the measurement value, and the measuring device 121 of the transmission source.
Further, in step S801, the control unit 23 associates the measurement values received by the transmission/reception unit 22, the identification signal, and the identification information of the measurement device 121 with each measurement point in the equipment in the water purification plant stored in advance in the storage unit 23. Based on the facility definition information of the water purification plant obtained, it associates the measurement value with the measurement point.
In addition, the measurement values received by the transmitting/receiving unit 22 may be received in a state in which each measurement point and the measurement value in the water purification plant equipment are associated with each measurement point and the measurement value in the water purification plant equipment. , the measurement device 121 installed at the measurement point is associated by setting in advance unique identification information indicating the measurement point.

In step S802, as shown in FIG. 6, the simulation unit 311 of the control unit 31 obtains the measured values of the water quality from each measurement point in the equipment in the water purification plant stored in the storage unit 23 via the transmission/reception unit 22, and the water quality At least one of the calculation formulas such as the ion balance formula, turbidity calculation formula, and correlation formula necessary for calculation, and the calculation formulas for converting the above calculation formulas into water quality values and detailed composition values in water, For example, using a water quality component database that stores organic matter, turbidity, chemical components, etc., and a mathematical model that appropriately formulates physical and chemical phenomena for simulating the operation of each facility in the water purification plant, A process simulation operation that simulates the operation of each facility is performed to calculate an estimated value (step S802).

At the same time, the time of the process simulator is advanced, for example, at a normal speed at which the equipment in the water purification plant operates or at a speed several times to several hundred times faster than the speed at which normal time progresses, and the predetermined future (or future) of the plant The state at the time is predicted, calculations related to the simulation are performed, and predicted values are calculated (step S802). In step S<b>802 , the simulation unit 311 transmits the calculated estimated values and predicted values to the data updating unit 312 .
In step S802, based on the calculated estimated value, time data, and measurement point data, the simulation unit 311 determines a place (including piping) where no measuring meter is installed in the water purification process at the water purification plant, for example, one time Water quality values (pH, turbidity, residual chlorine concentration, alkalinity, electrical conductivity, etc.) at locations such as sedimentation ponds that require time for treatment may be calculated.

In step S803, the data updating unit 312 of the control unit 31 stores the estimated value and the predicted value regarding the water quality value of each measurement point calculated by the simulation unit 311 in step S802 in the storage unit 23 for each measurement point (step S803). When storing in the storage unit 23 in step S803, the measured values, estimated values, and predicted values regarding water quality values may be stored in databases provided for each measurement point, or may be stored in a matrix format for each measurement point. may be stored.
When storing the water quality values in the storage unit 23, a database may be provided for each water quality value such as pH, turbidity, residual chlorine concentration, alkalinity, electrical conductivity, etc. in addition to each measurement point.

In step S804, the display control unit 32 determines the type of water quality value to be displayed at each measurement point set in advance stored in the storage unit 23 (for example, whether to display the water quality value near the exit of the chemical mixing pond in a radar chart). ), and/or display settings such as where to display on the display screen (for example, where to plot on the raw water quality radar chart 31, whether to display on the water quality profile graph 42 (421-423)), etc. is called (step S704). Display settings such as the type of water quality value to be displayed at each measurement point and/or the position on the display screen to be displayed may be set using the engineering terminal 25 and stored in the storage unit 23 .

In step S805, the display control unit 32 uses the display setting referred to by the storage unit 23 in step S804, and the display control unit 32 receives data from the measuring device 121 at each measurement point stored in the storage unit 23 or the simulation unit 311 It is determined whether or not the item to be displayed has been confirmed from the calculated water quality value (step S805).
In step S805, the display control unit 32 refers to the database of water quality values received from the measuring device 121 at each measurement point or calculated by the simulation unit 311 from the storage unit 23 (step S805).

In step S806, from the database of water quality values at the measurement points that the display control unit 32 refers to from the storage unit 23 in step S805, the type of water quality value to be displayed at each measurement point and/or at which position on the display screen The water quality value to be displayed is confirmed by comparing display settings such as whether or not (step S806).
In step S807, when the display control unit 32 compares the display settings in step S805 and determines that the water quality value is to be hidden, the display control unit 32 hides the determined water quality value (step S807). . In step S807, the display control unit 32 does not display the water quality value to be hidden on the radar chart at any location on the display screen in FIG. This makes it possible to display the water quality values that need to be monitored at each facility in the water purification plant.

In step S808, the display control unit 32 compares the display settings in step S806, and if it determines that the water quality value is to be displayed, it extracts the water quality value stored in the storage unit 23 for each measurement point (step S808).
In step S809, from the water quality value extracted in step S808, the display control unit 32 extracts the measured value, the estimated value, or the preset predicted value at the time of display of the water quality value to be displayed on the display unit 24. (Step S809).

In step S810, based on the display settings called up by the display control unit 32 in step S804, at which position on the display screen (for example, on the raw water quality radar chart 41) the extracted measured value, estimated value, and predicted value of the water quality value are plotted. , water quality profile graph 42 (421-423) to be plotted at which measurement point, etc.) is confirmed (step S810).

In step S811, the display control unit 32 causes the display unit 24 to display one or more of the measured value, the estimated value, and the predicted value of the water quality value and the normal water quality value stored in the storage unit 23. is transmitted, and the display unit 47 displays the water quality value upon receiving the instruction (step S811).
Although not shown in FIG. 8, in step S811, one or more of the measured value, the estimated value, and the predicted value of the water quality value stored in the storage unit 23 are displayed. Then, the process may return to step S801.

In this embodiment, the measurement values related to water quality values such as pH, turbidity, residual chlorine concentration, alkalinity, conductivity, etc. received from each measurement point in the equipment in the water purification plant, and the simulation unit 311 uses the measurement values An operation monitoring device has been described that displays calculated estimated and predicted values. However, the value input to the operation monitoring device may not be the value measured by the measuring device 121, but may be a preset time change of the water quality value. In that case, you may use it as an operation training simulator in a water purification plant.

<Example 2 About the water quality modeling part>
In the second embodiment, a process simulator used as an operation support device or an operation training support device in a water purification plant, in particular, a water quality modeling unit that converts the detailed water composition value from the water quality value or the detailed water composition value to the water quality value will be described. .
Hereinafter, a detailed description of the operation support device for a water purification plant according to the present invention will be given with reference to the drawings. FIG. 9 shows a configuration example of the parameter conversion section 3111 of FIG. 6 in the driving assistance device of the present invention.

Here, the water quality value is a general term for pH, turbidity, residual chlorine concentration, alkalinity, electrical conductivity, and the like. Further, the detailed composition value of water includes, for example, ion species such as H ⁺ , Na ⁺ and Ca ²⁺ , chemical components such as PAC (polyaluminum chloride), NaOH and NaOCl, and organic substances such as NH ₃ and NH ₂ Cl. It is a component of water such as
Water quality values and detailed composition values of water are not limited to those shown above, and water quality values of any components and components contained in raw water can be used as long as they are managed by water purification plants in various places. may

FIG. 9 shows a configuration example of the parameter conversion section 3111 in the simulation section 311 . The parameter conversion section 3111 of the present invention is composed of the water quality modeling section 90 and the water quality component database 91 .

The water quality modeling unit 90 has a function of setting a calculation formula for storing water quality values or detailed water composition values in the water quality component database 91, a function of calculating the water quality values or detailed water composition values based on the calculation formula, It has a function to transmit the calculation result.
Note that the water quality modeling unit 90 may have functions other than those described above.

The water quality component database 91 is a database for defining water quality components, physical property parameters, and parameters between components used when simulating behavior such as water quality values in the simulation unit. FIG. 10 shows a configuration example of the water component database.
The water component database consists of a component database and an ion equilibrium calculation database. In addition to the databases described above, the water component database may include a database necessary for simulating water quality, such as a turbidity calculation database.

The component database 911 is a database in which component types and detailed components used when simulating and calculating behavior such as water quality values in the simulation unit are registered. In FIG. 10, information such as detailed component names, molecular weights, densities, and ionic valences are registered in advance in the component database 911 .
It should be noted that the component database 911 may be registered with not only the above information but also information necessary for representing the composition of water. In addition, when information pre-registered in the component database 911 is insufficient, the user may additionally register a desired component in the user-registered components.

Specific examples of component types and basic components registered in advance in the component database 911 are shown below.
Information related to water (component type/basic component) in the component database 911 includes physical property values such as detailed component (H ₂ O), molecular weight (18), density (100 kg/m ³ ), and other water such as viscosity coefficient. may be registered in the component database 911 in advance, or may be additionally registered by the user.

Ion species in water in _the component _database 911 are registered ion species that determine water quality values such as pH, ^alkalinity , conductivity _, ^etc. ), sodium ions (Na ⁺ ), and hardness substance ions (Mg ²⁺ , Ca ²⁺ ).

The chemical liquid components in the component database 911 are registered with chemical liquid components used for water purification treatment in each facility in the water purification plant. Specifically, in the component database 911, coagulant (PAC), caustic (NaOH), acidic substances (H ₂ SO ₄ , HCl), sodium hypochlorite (NaOCl), and activated carbon (C) are shown as chemical components. The molecular weight and the like that do not occur are registered in advance.

Organic substances in the component database 911 are registered organic substances that are decomposed by sodium hypochlorite, which is the chemical solution component. Specifically, molecular weights (not shown) of ammonia (NH ₃ ), monochloramine (NH ₂ Cl), dichloramine (NHCl ₂ ), trichloramine (NCl ₃ ), and organic matter are registered in advance. .
Note that the ionic species, chemical components, and organic substances in the water in the component database 911 may be other than those described above, and may be changed according to the components of the raw water, etc. If there are missing components, the user can change the components. It may be additionally registered in the database 911 .

In the ion equilibrium calculation database 912, since behavior such as water quality values is simulated and calculated by the simulation unit 311, the ion equilibrium calculation formula used for calculation and the equilibrium constant used in the calculation formula or chemical formula are registered in advance. Specifically, water ion equilibrium equation and equilibrium constant, ion equilibrium equation and equilibrium constant for first dissociation of carbonic acid, ion equilibrium equation and equilibrium constant for second dissociation of carbonic acid, ion equilibrium equation and equilibrium constant for hypochlorous acid, caustic The ion equilibrium formula and equilibrium constant of , the ion equilibrium formula and equilibrium constant of the flocculant, etc. are registered in advance. The calculation formula or chemical formula described above will be described in detail in Example 3, which will be described later.
Also, the ion equilibrium calculation database 912 may be other than those described above, and if there is an insufficient equilibrium formula or equilibrium constant, the user may additionally register it in the ion equilibrium calculation database 912 .

<Operation of Conversion Processing in Parameter Conversion Unit>
The water quality modeling unit 90 in the parameter conversion unit 3111 of the present invention has a function of converting the measured water quality values received from the storage unit 23 into detailed water composition values. The water quality modeling unit 90 also has a function of converting estimated or predicted values of detailed water composition values received from the process simulation unit or the future prediction unit into water quality values. FIG. 11 shows a flowchart for conversion from water quality values to detailed water composition values or conversion from detailed water composition values to water quality values by the water quality modeling unit in the parameter conversion unit 3111 .

In step S1101, the water quality modeling unit 91 acquires the measured value of the water quality value from the storage unit 23, or estimates the detailed composition value of water, which is the calculation result of each of these units from the process simulation unit 3114 or the future prediction unit 3117. A value or predicted value is received (step S1101). In step S1101, even if the water quality value that the water quality modeling unit 91 acquires from the storage unit 23 is a value that is input from the input unit, the time change of the water quality value is assumed to be a scenario (for example, a scenario of time change of the water quality value in a torrential rain). etc.).

In step S1102, the water quality modeling unit 90 identifies whether the received parameter is a water quality value or a detailed water composition value (step S1102). Also, in step S1102, if the water quality value is identified, the type of the input water quality value (for example, pH, alkalinity, conductivity, etc.) is identified. In addition, in step S1102, when the detailed composition value of water is identified, the components (eg, ion species, chemical components, organic substances) included in the detailed composition value are identified.

In step S1103, the water quality modeling unit 90 applies a calculation formula based on the parameter (water quality value or detailed composition value of water) identified in step S1102 to the ion equilibrium calculation stored in the ion equilibrium calculation database 912 of the water component database 91. It is set based on the equation and the equilibrium constant (step S1103). In step S1103, when simultaneous equations are used in calculations to be described later, calculation formulas set based on the ion equilibrium calculation database 912 are set as simultaneous equations.
In step S1103, the water quality modeling unit 90 may input a parameter corresponding to the detailed composition value of water from the parameters related to the composition value stored in the component database 911 into the calculation formula.

In step S1104, the water quality modeling unit calculates parameters (water quality values or detailed water composition values) based on the calculation formula set in step S1103 and the equilibrium constants stored in the ion equilibrium calculation database 912 (step S1104 ). In step S1104, the water quality modeling unit 90 performs convergence calculation or optimization calculation based on the electrical neutrality condition when calculating parameters (water quality values or detailed composition values of water).
Here, as a method for the water quality modeling unit 90 to perform the convergence calculation, for example, Newton's method can be used. In addition, as a method for the water quality modeling unit to perform the optimization calculation, for example, the Newton method, the downhill simplex method, and the like can be mentioned.

At step S1105, the water quality modeling unit 90 confirms whether the calculation has converged or optimized (step S1105). In step S1105, when the water quality modeling section 90 determines that the calculation has not converged or optimized, the water quality modeling section continues the calculation.

When it is determined in step S1106 that the calculation in the water quality modeling section 90 has converged or optimized, the calculation result is sent to the parameter correction section 3112 or the data update section 312 (step S1106).

In addition, in the present embodiment, the driving support device is described in which the water quality modeling unit 90 configured in the parameter conversion unit 3111 calculates the water quality value or the detailed composition value of water. However, the operation of the water quality modeling section 90 may be configured separately as each functional section. Also, although the calculations performed by the water quality modeling unit 90 are described as convergence calculations or optimization calculations based on the electrical neutrality condition, calculations may be performed by methods based on other methods.

<Operation of calculating pH, alkalinity, and conductivity from detailed composition values of water>
In FIG. 11, the water quality modeling unit 90 according to the present invention performs calculations based on input of water quality values or detailed water composition values to calculate detailed water composition values or water quality values. Therefore, the operation of calculating pH, alkalinity, and conductivity from specific detailed composition values of water will be described in the next section. FIG. 12 shows a flow chart for the water quality modeling unit 90 to calculate pH, alkalinity, and conductivity from detailed water composition values.

In step S1201, the water quality modeling unit 90 receives estimated values or predicted values as detailed composition values of water from the process simulation unit 3114 or the future prediction unit 3117 (step S1201). In step S1201, the water quality modeling unit 90 may identify parameters necessary for calculating pH, alkalinity, and conductivity from estimated or predicted values of detailed water composition values.

In step S1202, the water quality modeling unit 90 sets the formulas for calculating pH, alkalinity, and conductivity from the ion equilibrium calculation database 912 of the water quality component database 91 (step S1202). In step S1202, when simultaneous equations are used to calculate the pH, which will be described later, calculation formulas set from the ion equilibrium calculation database 912 may be set as the simultaneous equations.
In step S1202, the water quality modeling unit 90 may input parameters related to the detailed composition values of the water input to the water quality modeling unit 90 from the parameters related to the composition values stored in the component database 911 into the calculation formula.

In step S1203, convergence calculation is performed under an electrically neutral condition based on the pH calculation formula set by the water quality modeling unit 90 in step S1202 and the equilibrium constant stored in the ion equilibrium calculation database 912 (step S1203). Moreover, in step S1203, as a method for the water quality modeling unit 90 to perform the convergence calculation, for example, the Newton method or the like can be used.
Although Newton's method has been presented as a method for the water quality modeling unit 90 to perform convergence calculation, other methods for performing convergence calculation may be used.

At step S1204, the water quality modeling unit 90 determines whether or not the calculation based on the formula for pH has converged (step S1204). If it is determined in step S1204 that the pH calculation by the water quality modeling unit 90 has not converged, the pH calculation is continued.

In step S1205, when the water quality modeling unit determines that the calculation of pH has converged in step S1204, the calculation result is determined as an estimated value or a predicted value of pH (step S1205).

In step S1206, the pH estimated value or predicted value determined by the water quality modeling unit 90 in step S1205, and the formula for alkalinity set from the water quality component database 91 in step S1202 and the equilibrium stored in the ion equilibrium calculation database 912 Based on the constant, the water quality modeling unit 90 performs calculation of alkalinity (step S1206).

In step S1207, the water quality modeling unit 90 determines the calculation result regarding alkalinity as an estimated value or predicted value of alkalinity (step S1206).

In step S1208, the estimated value or predicted value of alkalinity determined by the water quality modeling unit 90 in step S1207, and the calculation formula for conductivity set from the water quality component database 91 in step S1202 and stored in the ion balance calculation database 912 Based on the equilibrium constant, the water quality modeling unit 90 performs conductivity calculation (step S1207).

In step S1209, the water quality modeling unit 90 determines the calculation result regarding conductivity as an estimated value or predicted value of conductivity (step S1209).

In step S1210, the water quality modeling unit 90 transmits the pH, alkalinity, and conductivity calculated in steps S1201 to S1209 to the data updating unit 312.

In this embodiment, when calculating pH, alkalinity, and electrical conductivity from detailed water composition values, the water quality modeling unit 90 continuously calculates water quality values. However, the water quality modeling unit 90 may calculate pH, alkalinity, and conductivity in parallel. In addition, when the water quality modeling unit 90 calculates pH, alkalinity, and conductivity from the detailed composition values of water, it may calculate only one type of water quality value, or may calculate a combination of two or more types. good.
Further, when calculating the pH, the calculation was performed using the convergence calculation based on the electrically neutral condition, but the calculation method is not limited to the method of this embodiment.

<Operation for calculating detailed water composition values from pH and alkalinity>
In FIG. 12, the water quality modeling unit 90 of the present invention calculates pH, alkalinity, and conductivity based on estimated or predicted values of detailed water composition values received from the process simulation unit 3114 or the future prediction unit 3117. Explained the flow. FIG. 13 shows an operation flow for calculating detailed composition values of water based on the pH, alkalinity and formulas stored in the water component database acquired from the storage unit 23 .

In step S1301, the water quality modeling unit 90 acquires the measured water quality value stored in the storage unit 23 (step 1301). In step S1301, the water quality value that the water quality modeling unit acquires from the storage unit 23 may be the value input from the input unit 21, or the time change of the water quality value may be used as a scenario.

In step S1302, the water quality modeling unit 90 sets a calculation formula for alkalinity based on the ion equilibrium calculation database 912 of the water quality component database 91 (step S1302).

In step S1303, the water quality modeling unit 90 calculates water A detailed composition value is calculated (step S1303). In step S1303, the water quality modeling unit 90 performs an optimization calculation based on an electrically neutral condition when calculating detailed composition values of water. Methods for the water quality modeling unit 90 to perform optimization calculations include, for example, the Newton method and the downhill simplex method.

At step S1304, the water quality modeling unit 90 confirms whether the calculation at step S1303 has been optimized (step S1304). In step S1304, when the water quality modeling unit 90 determines that the computation has not converged or optimized, the water quality modeling unit 90 continues the computation of the detailed water composition values.

When it is determined in step S1305 that the calculation of the detailed water composition values in the water quality modeling unit 90 has been optimized, the detailed water composition values that are the calculation results are sent to the parameter correction unit 3112 (step S1305).
In step S<b>1305 , the water quality modeling unit 90 may determine the detailed composition value of water from the calculation result based on the component database 911 and transmit it to the parameter correction unit 3112 .

Thus, according to the present invention, the water quality modeling unit 90 in the driving support device described in the present embodiment is set based on the water quality component database 91 and the ion balance calculation database 912 stored in the storage unit 23. By executing predetermined calculations based on this, it is possible to simulate and calculate sudden fluctuations in water quality values caused by torrential rains, etc., enabling water purification plant operators to perform accurate water quality management. .

In addition, in the present embodiment, the operation of calculating the detailed composition value of water based on the pH and the alkalinity was described. However, when the water quality modeling unit 90 calculates the detailed composition value of water based on pH and alkalinity, the calculation is performed using the optimization calculation based on the electrically neutral condition. is not limited to the method of

<Example 3 equipment modeling>
In the third embodiment, a process simulator used as an operation support device or an operation training support device at a water purification plant, particularly a facility module, that is, a simulation model corresponding to the facility at the water purification plant and a construction method thereof will be described.
Hereinafter, a detailed description of the operation support device for a water purification plant according to the present invention will be given with reference to the drawings. FIG. 14 shows a configuration example of equipment modules 14a, 14b, and 14c stored in a storage unit (not shown) of the process simulation unit 3114 of FIG. 6 in the driving support system of the present invention. A process simulation model 3115 composed of equipment modules is also stored in this storage unit (not shown).

In FIG. 14, a storage unit (not shown) of the process simulation unit 3114 stores a simulation model 3115 in a water purification plant, which is a combination of equipment modules 14a, 14b, 14c and multiple types of equipment modules. FIG. 14 specifically shows facility modules 14a, 14b, and 14c of a chemical mixing basin, sedimentation basin, and filtration basin. Also, FIG. 14 shows a process simulation model 3115 composed of equipment modules of a settling basin, a receiving well, a chemical mixing basin, a sedimentation basin, a filtering basin, a chemical mixing basin, and a clean water basin.
The storage unit (not shown) of the process simulation unit 3114 may store equipment modules other than those illustrated in FIG. 14, and may store process simulation models that match the equipment configuration of each water purification plant.

FIG. 15 shows an overview of the equipment module 14c and a configuration example of the equipment module 14c. Here, a configuration example of the equipment module 14c of the filtration basin will be described in detail as a specific example.
The equipment module 14c in FIG.

The inflow connection part 1401 is a function for connecting with other equipment modules. The inflow connection part 1401 also has a function of inputting the water quality value or the detailed water composition value of the other connected equipment module 14c to the equipment module simulating filtration. As a result, the water quality value or the detailed water composition value output from the other equipment module 14c can be received as an input value.
That is, based on inputs (specifically, water quality values or detailed water composition values) from other equipment modules of the inflow connection 1401, the process simulation unit 3114 calculates the water quality values or detailed water composition values in the equipment module. can be simulated for dynamic behavior (specifically, concentration propagation, mass balance, etc.).
The other equipment module connected via the inflow connection part 1401 may be any equipment module, and may be connected according to the equipment form of each water purification plant.

The outflow connection part 1402, like the inflow connection part 1401, is a function for connecting with other equipment modules. The outflow connection part 1402 also has a function of outputting the water quality value or the detailed water composition value simulated by the facility module 14c representing the filter to other connected facility modules. Thereby, the water quality value or the detailed composition value of water simulated by the equipment module 14c can be transmitted as an output value.
That is, similarly to the inflow connection 1401, the outflow connection 1402 transmits the water quality values or detailed water composition values simulated by the equipment module to other equipment modules. Then, the process simulation unit 3114, based on inputs from other equipment modules connected by the outflow connection unit 1402, analyzes dynamic behavior (specifically, concentration propagation, mass balance, etc.) related to water quality values or detailed composition values of water. ) can be simulated.
The other equipment module connected via the outflow connection part 1402 may be any equipment module, and may be connected according to the equipment form of each water purification plant.

A unit symbol 1403 is a figure representing the appearance of equipment in a water purification plant. Note that the unit model may be constructed by using an engineering terminal or the like to simulate the shape of the equipment that is actually in operation. Also, the user may construct a new unit model using the engineering terminal.

The equipment module has an inflow connection part 1401 and an outflow connection part 1402, but if multiple inflow and outflow routes such as chemical injection pipes or drain pipes are required, depending on the actual equipment configuration at the water purification plant, may be added. For example, they may be connected in advance to the facility module as the chemical solution connection section 1404 and the drainage connection section 1405 . In addition, the inflow connector 1401 , outflow connector 1402 , chemical solution connector 1404 , and drain connector 1405 may be added or deleted by the user using the engineering terminal 25 in addition to the input unit 21 .

Further, FIG. 15 shows an internal configuration example of the equipment module. Equipment modules include inflow information, outflow information, unit parameters, formulas or chemical formulas.

The inflow information includes information on the inflow connection 1401, such as water flow rate and water quality value or detailed composition value of water input from other equipment modules. The inflow information may be set at the time of connection with another equipment module, or may be set in advance. In addition, inflow information may include information such as the type of chemical solution to be injected, the detailed composition value of the chemical solution, the flow rate, etc., when the equipment module is provided with the chemical solution connection part 1404, and may be set in advance.
Note that the inflow information may include information on other facility modules that are connection destinations.

The outflow information includes the flow rate and water quality value or detailed composition value of water output from the equipment module 14c to other equipment modules, which is information of the outflow connection section 1402 . Outflow information may be set at the time of connection with another equipment module, or may be set in advance. The outflow information may include information such as the flow rate at the time of drainage when the facility module is provided with the drainage connection section 1405, and may be set in advance.
Note that the outflow information may include information on other equipment modules that are connection destinations.

Unit parameters include facility dimension parameters, calculation coefficient parameters, and the like.
The equipment dimension parameters are the size of the equipment in the actual water purification plant (length, width and height), and/or the piping position information of the equipment in the actual water purification plant (height of the inflow pipe and outflow pipe), etc. including. The facility dimension parameters may be set by the user using the engineering terminal 25 in addition to the input unit 21 based on the design information of the water purification plant facility.

The calculation coefficient parameter is, for example, a reaction rate, a calculation formula bias value, a gain value, a concentration propagation speed coefficient, a pressure loss coefficient, etc., which are parameters to be input to a calculation formula that simulates fluctuations in water quality values that occur within the facility, which will be described later. . Note that the calculation coefficient parameter may be adjusted from an engineering terminal or the like according to the calculation result of the water quality value or the detailed composition value of water by the process simulation unit 3114 or the future prediction unit 3117 . Also, the calculation coefficient parameter may be adjusted by the parameter correction unit 3111 or the parameter determination unit 3112 according to the measured value.

The calculation formulas included in the equipment module 14c are calculation formulas necessary for simulating fluctuations in water quality values (pH, alkalinity, conductivity, concentration propagation delay, etc.) or detailed composition values of water that occur within the equipment. Specific examples of calculation formulas for simulating physical phenomena that occur within facilities in a water purification plant are shown below. The calculation formula is not limited to the calculation formula, chemical formula, or simultaneous equations shown below, and may be any calculation formula for calculating the water quality value based on literature.

<Ion equilibrium calculation>
The facility module 14c stores in advance an ion equilibrium calculation formula that considers the following ion species/dissociation equilibrium, for example. Based on this ion equilibrium calculation formula, the process simulation unit 3113 calculates each ion species contained in the detailed composition value of water (for example, dissolved carbonates in water (HCO ₃ ^- , CO ₃ ^2- , CO ₂ ), sodium ions ( Na ⁺ ), valences of hard substance ions (Mg ²⁺ , Ca ²⁺ ), etc.) are received from the main inlet connection, and pH, alkalinity, conductivity, etc. are calculated and simulated.

Equation (1) is an equation relating to the dissociation equilibrium of water. Formula (2) relates to the ionization of hypochlorous acid. Equation (3) relates to the ionization of caustic soda.

The process simulation unit 3113 derives the hydrogen ion concentration and calculates the pH by solving the equilibrium calculation formula included in the facility module 14c for pH, especially the simultaneous equations regarding formula (1).
In addition, when the equipment module is provided with the chemical liquid connection section 1404, the process simulation section 3113 may solve the simultaneous equations regarding the equations (2) and (3), and reflect the computation results in the pH computation.

In addition, the process simulation unit 3113 extracts necessary parameters such as the concentration of dissolved carbonate ions and the concentration of hydrogen ions related to the equilibrium calculation formula included in the facility module 14c for alkalinity, particularly the simultaneous equations regarding dissociation equilibrium. The process simulation unit 3113 calculates the alkalinity by substituting the extracted parameter into the formula for calculating the alkalinity.

Furthermore, the process simulation unit 3113 calculates conductivity based on the correlation between alkalinity and conductivity.
Note that the ion balance formula is not limited to the formula described above, and may include other calculation formulas necessary for simulating the water quality value in the facility by the process simulation unit 3113 .

<Water flow balance calculation formula>
The equipment module 14c stores, for example, an equation relating to fluid dynamics such as Bernoulli's equation in advance as a water flow balance equation. The process simulation unit 3113 inputs the equipment dimensions of the target equipment, the amount of water retained in the equipment, the pipe pressure loss coefficient, etc. into the water flow balance calculation formula, and calculates the flow rate and Calculate the pipe pressure.

<Mass balance formula>
The facility module 14c stores, for example, a calculation formula relating to the material balance for calculating the balance of the inflow amount, outflow amount, accumulation amount, etc. in the facility in advance. The process simulation unit 3113 calculates and simulates the balance of water inflow, outflow, accumulation, and the like in the facility based on the calculation formula for this material balance. Specific examples of calculation formulas for material balance are shown below.

Here, the formula (4) represents the material balance in the equipment of the water purification plant, specifically, the material balance due to the chemical reaction in the equipment. The parameters related to formula (4) are: V is the tank holding volume [l], _Fin is the inflow [l/h], Fout is the _outflow [l/h], and _Rgen is the generation rate [l/h]. , R _cons represent the consumption rate [l/h].
In addition, the material balance due to the chemical reaction in the facility according to formula (4) is the decomposition of hypochlorous acid, ammonia, and organic matter due to the reaction of hypochlorous acid, ammonia, and organic matter, which is the consumption reaction of hypochlorous acid. may be related to
It should be noted that any calculation formula may be used as long as it is a calculation formula that can calculate the material balance in the facility, without being limited to the calculation formula described above.

Here, equation (5) represents the material balance of each component of water (water quality value or detailed composition value of water). The parameters related to equation (5) are: V is the tank holding volume [l], _Fin is the inflow [l/h], Fout is the _outflow [l/h], and R1 _gen is the generation rate related to component 1 [ l/h], R2 _gen is the consumption rate of component 2 [l/h], x1 _in is the inflow concentration of component 1 [mol/l], and x2 _out is the outflow concentration of component 2 [mol/l].
Any calculation formula may be used as long as it can calculate the material balance of each component in water (water quality value or detailed composition value of water) without being limited to the calculation formula described above.

The calculation formulas included in the equipment module 14c described above are stored in advance in the equipment module 14c, and can calculate and simulate the physical phenomena in the equipment in the water purification plant. Moreover, a physical phenomenon (filtration) peculiar to a filter occurs in the filter in FIG. Therefore, the equipment module 14c representing the filtration basin stores a calculation formula relating to filtration. Note that any calculation formula relating to filtration may be used as long as it is a calculation formula that simulates filtration, such as the Yao and O'Melina formula.
In addition, the equipment module 14c representing the filter may preset and include not only the calculation formula but also the parameters necessary for the calculation.

<How to build a process simulation model using equipment modules>
In FIG. 14 and FIG. 15, configuration examples of the equipment module 14c of the present invention, unit parameters, calculation formulas, etc. included in the equipment module 14c have been described. Therefore, the construction method of the process simulation model 3115 using the specific equipment modules 14a, 14b, and 14c will be described in the next section. FIG. 16 shows a flowchart in which a user constructs a process simulation model 3115 at a water purification plant based on the facility modules 14a, 14b, and 14c via the input unit 21 or using the engineering terminal 25 or the like.

In step S1601, the user uses the input unit 21 or the engineering terminal 25 to arrange the necessary equipment modules 14a, 14b, and 14c from the equipment modules 14a, 14b, and 14c stored in advance in the storage unit (not shown) of the engineering terminal. (Step S1601). In S1601, when the user arranges the necessary equipment modules 14a, 14b, 14c, the once arranged equipment modules 14a, 14b, 14c may be duplicated (copy and paste).

In step S1602, the user sets equipment dimension parameters and/or calculation coefficient parameters for the equipment modules 14a, 14b, and 14c arranged in step S1601 based on the equipment specifications of the water purification plant (step S1602). Further, in step S1602, if the equipment specifications include a chemical injection port and the like, the user may newly add the chemical solution connection unit 1404 and the like to the equipment module. At this time, the facility modules 14a, 14b, and 14c may receive information such as the flow rate of the chemical liquid connection section 1404 and the detailed composition value of water as the inflow information.

In step S1603, the user confirms whether or not the arrangement of the necessary equipment modules 14a, 14b, and 14c and input of unit parameters have been completed based on the equipment specifications of the water purification plant (step S1603). In step S1603, when the user has finished arranging the equipment modules 14a, 14b, and 14c and inputting unit parameters, the process proceeds to step S1604. On the other hand, if the user has not finished arranging the equipment modules 14a, 14b, 14c and inputting the unit parameters in step S1603, the process returns to step S1601 to arrange the equipment modules 14a, 14b, 14c.

In step S1604, when installation of the equipment modules 14a, 14b, and 14c is completed in step S1603, the engineering terminal 25 displays all the equipment modules 14a, 14b, and 14c arranged on a display unit (not shown) (step S1604). In S1604, all the equipment modules 14a, 14b, and 14c arranged by the user may be collectively duplicated (copy and paste).

In step S1605, the user performs settings for connecting the connecting portions of the equipment modules 14a, 14b, and 14c (for example, connecting the connecting portions with lines called streams) based on the equipment specifications of the water purification plant (step S1605). ). In step S1605, the equipment modules 14a, 14b, and 14c may be connected by branching or merging connection lines, or the equipment modules 14a, 14b, and 14c may be connected in series or in parallel.
In step S1605, each of the facility modules 14a, 14b, and 14c may update the inflow information and the outflow information when the user connects the facility modules 14a, 14b, and 14c or at a timing preset by the user.

In step S1606, the user updates the process simulation model 3115 consisting of the equipment modules 14a, 14b, and 14c built up to step S1605 to the process simulation unit 3113, and checks the operation. At that time, if the calculation result for confirming the operation differs from the actual operation in the equipment at the water purification plant, the unit parameters included in the equipment module are adjusted (step S1606).
Further, in step S1606, the user may adjust the unit parameters via the engineering terminal 25 in addition to the input unit 21, or may be performed by the parameter conversion unit 3111 or the like.

In this way, the present invention enables simultaneous multiple physical phenomena (reaction, sedimentation, filtration, etc.) occurring in water purification plant equipment by constructing a process simulation model in the operation support device described in this embodiment with equipment modules. ) can be simulated, simplifying the work of the user or engineer. In addition, by simplifying the duplication of equipment modules, it is possible to efficiently construct a process simulation model of a large-scale water purification plant in which multiple equipment having the same dimensions and performance exist.

In the present embodiment, the chemical formulas and calculation formulas included in the equipment module are exemplified as formulas (1) to (11), but are not limited to these, and the equipment module includes calculation formulas that simulate fluctuations in water quality values. as long as it is Further, the shape of the equipment module is not limited to that shown in the drawings, and for example, the shape of each equipment may be unified to a square or the like.

<Summary>
The present invention displays a raw water quality radar chart, a water quality profile graph, and a process flow on an operation support monitoring screen of an operation monitoring device equipped with a process simulator for a water purification plant. As a result, the user can intuitively perceive a sudden change in the behavior of the water quality value by monitoring the operation monitoring screen, and can provide an operation support monitoring screen that allows an accurate judgment to be made. In addition, since the operation support monitoring screen intuitively captures sudden changes in the behavior of water quality values, it is possible to conduct efficient education and training for operators with little work experience, enabling efficient technology transfer. becomes.

In addition, in order to simulate the sudden behavior of the water quality value like the behavior that actually occurs in the equipment in the water purification plant, the present invention provides parameters (water quality value) in the format displayed on the operation support monitoring screen, and the behavior in the equipment It was made possible to convert parameters (detailed composition values of water) in a format that simulates The present invention also proposed a simulation model for simulating the physical phenomena peculiar to water purification plants. As a result, water quality values and detailed water composition values can be predicted for each facility in the water purification plant, and a process model that matches the configuration of the water purification plant can be constructed.

Although the embodiments of the present invention have been described in detail above with reference to the drawings, the specific configuration is not limited to the above-described embodiments, and includes designs and the like within the scope of the present invention. For example, the functions described in the above embodiments can be combined arbitrarily.

100 Central monitoring room in water purification plant 111-114 Water purification plant equipment 121-124 Measuring device for measuring water quality value 131 Wired or wireless network 141 Display device 21 Input unit 22 Transmission/reception unit 23 Storage unit 24 Display unit 25 Engineering terminal 3 Arithmetic control unit 31 control unit 311 simulation unit 312 data update unit 32 display control unit 3111 parameter conversion unit 3112 parameter correction unit 3113 parameter determination unit 3114 process simulation unit 3115 process simulation model 3116 initial value creation unit 3117 future prediction unit 90 water quality modeling unit 91 water quality component database

Claims (4)

An operation support device that simulates the behavior of a water quality value indicating the quality of water to be treated in equipment in a water treatment facility based on an equipment module that is a simulation model according to the equipment,
The equipment module includes:
including attribute information of the facility and a calculation formula that simulates the behavior of the water quality value corresponding to a physical phenomenon occurring in the facility;
comprising an inflow connection and an outflow connection each having a function for connecting with other equipment modules corresponding to other equipment;
The inflow connection receives the calculated value of the water quality value calculated by another equipment module,
The outflow connection unit treats the calculated value of the water quality value simulated and calculated by the own equipment module as an input to another equipment module,
The attribute information of the facility includes information related to the dimensions of the facility, information identifying the facility, and constants or coefficients related to the calculation formula.
A driving support device characterized by: 2. The driving support device according to claim 1, further comprising a display control unit that displays the facility module on a display screen in a predetermined shape corresponding to the facility. 2. A storage unit for storing attribute information of the facility and connection information between the self-equipment module and other facility modules handled by the inflow connection section and the outflow connection section. 2. The driving support device according to 2. The attribute information of the facility is
4. The driving support device according to any one of claims 1 to 3, characterized in that it can be changed according to equipment in said water treatment facility.

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