JP2003233420A - Portable terminal for operation management of plant, and operation management method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a portable terminal for operation management of plant and an operation management method by which even a person other than an expert checker can promptly judge the validity of data, and find a problem and devices a necessary measures. <P>SOLUTION: The portable terminal 12 for operation management of a plant can exchange data with a personal computer 10 for data processing which stores operational data of the plant. The terminal 12 selects and downloads data from the operational data as a reference data, and inputs current data of the plant and transfers the current data to the personal computer 10 for data processing. The portable terminal for operation management of the plant is characterized in that in an input screen of the current data, the reference data as the reference data are simultaneously displayed as reference values. <P>COPYRIGHT: (C)2003,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a portable terminal for operation management of a plant and an operation management method for supporting the operation management of a plant such as a sewage treatment plant, and in particular, collecting the current data of the plant, The present invention relates to a plant operation management portable terminal and an operation management method for transferring to a data processing personal computer that creates a database of operation data.

[0002]

2. Description of the Related Art A plant such as a sewage treatment plant regularly inspects and keeps an inspection record for the purpose of improving reliability, early detection of failure, and quick recovery.

For example, in a sewage treatment plant, an inspector regularly performs operation management data (inflow water amount, sludge generation amount, air flow amount, consumption amount of electricity, gas, tap water, etc.), water quality management data (water temperature,
Transparency, pH, COD, BOD, P, N, E. coli, etc.),
Equipment management data (operating hours, operating current, vibration, temperature, sound, stains, insulation resistance, restoration history, etc. of various equipment) is entered on a recording sheet and tabulated, and then reports such as daily and monthly reports are created. It was

However, since the sewage treatment plant has many management items and a large number of devices, it takes a lot of time to transcribe numerical values, totalize and prepare a report. Therefore, in recent years, data is input to a portable terminal instead of recording paper. A system has been developed which saves labor by automatically collecting data and creating various reports by a program after transferring the data to a personal computer for data processing.

[0005]

However, it is necessary to accumulate a considerable amount of experience and knowledge in order to judge whether or not there is a failure or abnormality of the device just by looking at various data in the plant. Therefore, in order to immediately judge the validity of data, discover problems such as abnormalities, and take necessary measures promptly,
In addition, while an inspector who is familiar with various plant data is required, a system that technically supports such inspection work has not yet been found. Therefore, there is a problem in that the human cost is increased.

The present invention focuses on the above-mentioned conventional problems, and even an unskilled inspector can immediately judge the validity of data, find a problem, and take necessary measures. An object is to provide a portable terminal for operation management of a plant and an operation management method.

[0007]

In order to achieve the above object, the plant operation management portable terminal according to the present invention comprises:
Data can be exchanged with a data processing personal computer that accumulates plant operation data, and the present state data of the plant can be input and selected from the above operation data as reference data, and the present state data can be used for the data processing. In the portable terminal for plant operation management transferred to the personal computer, the reference data is simultaneously displayed as a reference value on the input screen of the current data. With such a configuration, when inputting the present condition data of the plant, the data possessed by the data processing personal computer can be referred to and compared with the present condition data. The validity of the data can be accurately judged. Further, the reference data is preferably data estimated by statistical processing based on the accumulated data. As described above, the reliability of the reference data can be improved by using the data reflecting the tendency of the accumulated operation data as the reference data. further,
A warning may be displayed when the difference between the reference data and the current data exceeds a preset allowable value. By doing so, when the current data is erroneously input or when the input current data is abnormal, the fact can be reliably notified to the inspector.

Further, the plant operation management method according to the present invention can be applied to a portable information terminal in which reference data necessary for judging the situation of the plant is fetched from a data processing personal computer for accumulating plant operation data. , Input the current data of the plant, and output the comparison result of the current data and the reference data,
The present condition data is transferred to the data processing personal computer. At the time of inputting the present condition data of the plant, it is possible to compare with the present condition data by referring to the reference data serving as a judgment index, so that it is possible to easily judge whether or not the value of the inputted present condition data is appropriate.
In addition, it is possible to prevent erroneous input of the current data and improve the reliability of the current data transferred to the data processing personal computer.

[0009]

BEST MODE FOR CARRYING OUT THE INVENTION Preferred embodiments of a plant operation management portable terminal and an operation management method according to the present invention will be described below with reference to the drawings. 1 and 2
FIG. 1 is a system configuration diagram and a block diagram illustrating an operation management system for realizing a plant operation management method according to the present embodiment. In addition, this embodiment demonstrates as an example the case where this operation management system is applied to a sewage treatment plant.

In FIG. 1, the operation management system is mainly carried by a data processing personal computer 10 for processing the data of the sewage treatment plant and an inspector who inspects the equipment of the sewage treatment plant and is the current data. The mobile terminal 12 collects inspection data.

Data processing personal computer 10
Is equipped with a data processing personal computer side database 14 that stores operation data that is reference data relating to operation management, water quality management, and equipment management of the sewage treatment plant. Further, the estimated value which is the reference data of the measurement item measured by the mobile terminal 12 is calculated based on the operation data stored in the data processing personal computer side database 14, and the inspection loaded from the mobile terminal 12. An aggregation processing unit 18 that aggregates the data and stores it in the data processing personal computer side database 14;
Data processing personal computer side database 1
Based on the data stored in 4, the daily and monthly reports 20
It is configured to include a print output unit 22 for outputting as. A mobile terminal communication interface 24 for transmitting and receiving data to and from the mobile terminal 12 connected to the data processing personal computer side database 14 via the totalization processing unit 18 and the arithmetic processing unit 16 is provided.

On the other hand, the portable terminal 12 acquires the operation data and the coefficient of the regression equation from the data processing personal computer 10 through the PC data communication interface 26 and stores the data transfer memory 28, and the portable terminal 12
An inspection data memory 32 for temporarily storing inspection data input from an input screen via a keyboard 31 connected to the keyboard / pen interface 30 of FIG. Further, it is provided with an arithmetic processing unit 34 for comparing the input inspection data with the operation data or the estimated value calculated from the regression equation, and a mobile terminal side database 36 for accumulating the input inspection data. Further, it is provided with a data transfer memory 28, an inspection data memory 32, and a data display section 38 for displaying the data stored in the portable terminal side database 36.

An inspector at the sewage treatment plant carries the portable terminal 12 for inspection. First, the data processing terminal 1 is connected to the PC data communication interface 26 included in the mobile terminal 12 via a wired communication line or a wireless communication line (not shown).
The measurement items and their operation data, regression equations, etc. are stored in the data transfer memory 28 from the data processing personal computer side database 14 included in 0. On the other hand, the inspection data of each facility or the like is input by an external input device such as a keyboard 31 or a pen connected to the mobile terminal 12, and the inspection data is stored in the inspection data memory 32 via the keyboard / pen interface 30. The input inspection data is displayed on the data display unit 38 via the calculation unit 34. The data display section 38 simultaneously displays the data transfer memory 2
The estimated value calculated by the operation unit 34 using the operation data stored in 8 or the input inspection data and the regression equation is displayed as a reference value. As a result, it is possible to compare and examine the measured inspection data of the sewage treatment plant and the operation data or the estimated value calculated from the operation data.

The input inspection data is stored in the mobile terminal side database 36. When the inspection data is collected for all the measurement items, the data is transferred to the data processing personal computer 10 through the PC data communication interface 26 and is totalized by the totalization processing unit 18, and then the data processing personal computer side. It is stored in the database 14. Then, the print output unit 22 outputs the report 20 such as a daily report or a monthly report as needed.

FIG. 3 shows an example of the display screen of the portable terminal 12 (in the case of operation management data). The inflow water amount and the electric energy are displayed as measurement items on the mobile terminal screen 40, and respective inspection data input fields 42a and 42b and reference value display fields 44a and 44b are displayed. Further, at the lower left of the screen, a screen advance button 46 for shifting to the next screen and a screen return button 48 for displaying the previous screen are arranged. Further, a reference value display switching button 50 for selecting whether to use the numerical value displayed as the reference value as the operation data or the estimated value calculated from the regression equation is arranged at the lower right of the screen.

When inputting the inspection data of the inflow water amount, the inspector selects the inspection data input field 42a from the keyboard 30 and inputs the inspection data. Then, the reference value display field 44a is selected. Then, the reference value display switching button 50 is selected to select whether to display the operational data as the reference value or the estimated value calculated from the regression equation. When the reference value data is selected, a numerical value is displayed in the reference value display field 44a. The inspector will
The inspection data input in the inspection data input field 42a is compared and examined to determine whether or not there is an abnormality in the inflow water amount. That is,
When the difference between the reference value and the inspection data is abnormally large, the inspector confirms whether or not the inspection data is erroneously input, and if there is an erroneous input, corrects the inspection data input in the inspection data input field 42a. To do. Therefore, erroneous input of the inspection data can be prevented, and the reliability of the inspection data transferred from the mobile terminal 12 to the data processing personal computer 10 can be improved. Further, if there is no erroneous input in the inspection data, there is a high possibility that there is an abnormality in operation, so it is possible to take necessary measures immediately. The inspector does not judge the validity of the difference between the reference value and the inspection data, but the arithmetic unit 34 automatically calculates the difference between the reference value and the inspection data, and the inspection data exceeds the value. In that case, it is preferable to display that fact on the display screen of the data display unit 38 or to emit a warning sound such as a buzzer. By doing so, it is possible to significantly reduce the burden on the inspector of determining erroneous input or abnormality for each inspection data.

When the data input of the measurement item displayed on the screen is completed, the screen feed button 46 is selected,
Display the next screen. Then, in the same way as in the above case, input inspection data and compare with reference values,
Inspect the sewage treatment plant. In addition, when there is correction of data etc., the screen return button 48 is selected to return to the previous screen,
Re-enter the data.

Next, the procedure for operating this operation management system will be described with reference to the flow chart shown in FIG. First, in order to transfer data between the mobile terminal 12 and the data processing personal computer 10, both are connected by a communication cable (S100). Then, the operation data and the coefficient of the regression equation stored in the data processing personal computer side database 14 of the data processing personal computer 10 are transferred to the mobile terminal 12 (S
102). While inspecting the site of the sewage treatment plant with the mobile terminal 12, the inspector inspects each inspection data and the operation status of the equipment, and inputs the inspection data into the mobile terminal 12. That is, first, a data input screen is selected (S104), and inspection data is input (S106). Here, the estimated value of the measurement item is calculated using a regression equation acquired from the data processing personal computer 10 as a value used as a reference for determining whether the input value is a normal value (S108). ).
In this way, when the estimated value is obtained from the regression equation, data having correlation with the measurement item (for example, when the measurement item is the inflow water amount, temperature, precipitation amount, etc .: see FIG. 5) is input to the regression equation for calculation. Next, which of the operation data and the estimated value calculated from the regression equation is to be compared with the inspection data is selected (S110). Then, the input inspection data is compared with the operation data or the estimated value calculated by the regression equation (S
112). Then, it is determined whether the difference between the inspection data and the reference value of the comparison target is within the range of the allowable value (S11).
4). If the difference between the numerical values exceeds the allowable value, a warning screen is displayed to warn the inspector (S116). When the warning screen is displayed, the inspector confirms whether or not the inspection data is erroneously input (S117). If you make a mistake, go to step 1.
Return to 04 and re-enter the inspection data. If there is no erroneous input, take measures such as detailed inspection or repair (S1
18) Return to step 104, move to another inspection point, and continue the inspection. If the difference between the inspection data and the reference value does not exceed the allowable value, the inspection data is recorded as it is in the inspection data memory 28 (S120). Then, it is determined whether the inspection is completed (S122). If there are other inspection points, the process returns to step 104 to move to the next inspection point and repeat the same inspection work. When the general inspection of the sewage treatment plant is completed, the input inspection data is transferred to the data processing personal computer 10 (S12).
4) The data is recorded in the data processing personal computer side database 14 (S126). Then, for example, when the data is accumulated for a certain period of time, the coefficient of the regression equation described later is recalculated and the regression equation is updated (S128).

As described above, since the operation data of the sewage treatment plant or the estimated value obtained by statistically processing the operation data is displayed as the reference value on the inspection data input screen, the reference value and the inspection data are compared. Then, it is possible to grasp the situation of facilities and the like.

FIG. 5 shows measurement items 2 for each classification of operation management data, water quality management data, and equipment management data.
It is what showed the regression formula which calculates the estimated value of an example. The regression equation is an equation for estimating a plurality of variables x _1, x ₂ ......... x _n relevant to a variable y to it for example, in general

[Equation 1] Can be expressed as In Expression 1, y is an objective variable, x ₁ , x ₂ ...
... x _n is called an explanatory variable. In regression equation, To find the estimated value of the objective variable y from the explanatory variables _{x 1, x 2 ......... x n} , coefficient beta ₀ for determining the regression equation, beta _1, must have a value of β ₂ ......... β _n Is. In the regression equation, this coefficient includes a plurality of actually measured y's and their corresponding x ₁ , x ₂ ...
Substituting the value of _n into Equation 1, unknown coefficients β ₀ , β ₁ , β ₂ ...
Estimates b ₀ , b ₁ , b ₂ ... …… b obtained by obtaining a plurality of equations including β _n, and using the statistical equations to minimize the error in each equation from the plurality of equations _n is used. That is, the objective variable y is

[Equation 2] Becomes Then, the explanatory variable x ₁ in Equation _2, x 2 ......... x _n
By substituting the actually measured value into, the estimated value of the objective variable y can be obtained. Further, when the measured value of x _1, x ₂ ......... x _n to y and corresponding is obtained newly is
Unknown coefficients β ₀ , β ₁ , β ₂ with the newly obtained values substituted
………… Obtain multiple formulas including β _n , and use these formulas as the multiple formulas used to obtain the estimated values of the coefficients β ₀ , β ₁ , β ₂ ……… β _n In addition, by recalculating the estimated value, the estimated values b ₀ , b ₁ , b _2, ..., B _n are updated to values that reflect the new measured values.

Each measurement item in the sewage treatment plant has a correlation with other items. Therefore, the regression equation is used to obtain the estimated value of the measurement item from the data of other correlated items. FIG. 5 shows a regression equation for calculating estimated values of two measurement items for each classification of operation management data, water quality management data, and equipment management data. In these regression equations, the coefficients represented by letters and numbers A ₁ , A ₂ ...
A _n , B ₁ , B ₂ ... B _n are coefficients that determine the regression equation and represent the weight of each item in the regression equation. For example, the estimated value of inflow is the annual average water volume of the previous year, the temperature on the day of measurement, precipitation, the seasonal coefficient of variation (based on the past data, the seasonal effect is expressed as a coefficient), and the annual coefficient of variation (the number of past years). From current trends to current trends)
Coefficients A _1, A _2, is calculated by multiplying the value obtained by adding by multiplying respectively ......... A _n.

The estimated values of the coefficients A ₁ , A ₂ , ... A _n are obtained from the inspection data of each item measured in the past. That is, the inflow water amount measured in the past, and substituting inspection data of each item such as air temperature at the time of measurement to regression, the unknown coefficients A _1, A _2, is expression containing ......... A _n is obtained . Coefficients of the unknown A _1, A _2, expression involving the ......... A _n is obtained for each measured set of data. Therefore, from a formula obtained based on multiple measurement data, by a statistical method,
Estimated values of these coefficients are calculated so that the error in each equation is minimized. Weighting factor A ₁ which determines this by regression equation, A _2, ......... estimate of _{A n a 1, a 2,} ......... a n
Can be obtained. Then, the estimated value of the measurement item is calculated by substituting the inspection data of the item that correlates with the measurement item into the regression equation using the estimated value as a coefficient.
In this way, the reliability as the comparison target with the inspection data can be improved by obtaining the estimated value for the item having a large correlation with the measurement item by the regression equation using the weighting coefficient fed back the past data. .

The estimated value of the weighting coefficient changes with the accumulation of data. That is, unknown coefficients A ₁ , A ₂ ...
Since the equation including A _n is obtained each time measurement is performed, a new equation is obtained each time new measurement is performed. By adding this formula to the statistical processing, the new measurement result is reflected in the weighting coefficient, and the versatility is improved. This is similar to the increase in the statistic sample, the more reliable the results.

The procedure for feeding back new data to the regression equation as described above is shown in the flowchart of FIG.
First, the data of the measurement item and the item correlated with it are input as inspection data (S200). This inspection data is transferred to the data processing personal computer 10 (S
202), the totaling processing unit 18 of the data processing personal computer performs totaling, creates a database, and stores the database in the data processing personal computer side database 14 (S204). Next, in the arithmetic processing unit, a regression equation including the unknown coefficient in which the newly obtained inspection data is substituted is added to the regression equation including the unknown coefficient in which the data obtained in the past is substituted, and statistical processing is performed. Calculation is performed, a new weighting coefficient is calculated, and the regression equation is updated (S206). Then, for the next inspection, the updated regression equation is transferred to the mobile terminal 12 (S208). In the mobile terminal 12, the inspection data is input (S210), and the estimated value is calculated using the updated regression formula based on the input inspection data,
It is displayed on the screen as a reference value (S212). Next, after comparing the estimated value with the inspection data and confirming the validity of the input data (S214), the data is transferred to the data processing personal computer 10 (S216). And step 20
By returning to step 6 and repeating the subsequent steps, it is possible to obtain a regression equation in which the latest measurement result is reflected. Therefore, by repeating the operation and periodically recalculating the weighting factor, a new regression equation adapted to the current condition of the sewage treatment plant can be obtained, and more accurate estimated values of the measurement items can be obtained.
If the difference between the estimated value and the inspection data is small, the regression equation can be used to control the operation of the equipment.

Depending on the measurement item, it may be more effective to display the data of yesterday, the data of the latest three days, the data of the same weather day of the last time, etc. as reference data, so refer to each measurement item. The data type may be set.

Thus, as reference values, past data of the sewage treatment plant or estimated values obtained by statistical processing are displayed on the screen, so that the inspection data at the present time is appropriate, or the operation status Whether or not there is any abnormality in the system, or even an unskilled inspector can make the judgment.

[0027]

As described above, according to the present invention,
In plant operation management, since past data and estimated values calculated by statistical processing can be referenced and compared with inspection data, appropriate inspection work can be performed even without a skilled inspector, and labor costs can be reduced. Can be achieved. In addition, the inspector can be assisted in making decisions, and human error can be prevented.

[Brief description of drawings]

FIG. 1 is a system configuration diagram illustrating an operation management system for realizing an operation management method for a sewage treatment plant according to the present embodiment.

FIG. 2 is a block diagram illustrating an operation management system for realizing the operation management method of the sewage treatment plant according to the present embodiment.

FIG. 3 is a diagram showing an example of a display screen of a mobile terminal.

FIG. 4 is a flowchart illustrating a procedure for operating the operation management system.

FIG. 5 is a diagram showing a regression equation for calculating an estimated value of an example of measurement items.

FIG. 6 is a flowchart illustrating a procedure of feeding back new data to a regression equation.

[Explanation of symbols]

10 ... Personal computer for data processing, 12
..... mobile terminal, 14 ..... personal computer side database for data processing, 16 .... arithmetic processing unit, 1
8 ... Totalization processing unit, 20 ... Report, 22 ... Print output unit, 24 ... Mobile terminal communication interface, 26 ... PC data communication interface, 2
8: Memory for data transfer, 30: Keyboard
Interface for pen, 32 ......... Memory for inspection data, 34 ......... Calculation section, 36 ... Database on mobile terminal side, 38 ... Data display section, 40 ... Screen of mobile terminal.

─────────────────────────────────────────────────── ─── Continuation of front page (51) Int.Cl. ⁷ Identification code FI theme code (reference) H04B 7/26 H04B 7/26 M (72) Inventor Shigeo Higuchi 1-1-14 Uchikanda, Chiyoda-ku, Tokyo F-Term (Reference) at No. Nippon Plant Construction Co., Ltd.

Claims (4)

[Claims] 1. A data processing personal computer for accumulating operation data of a plant, the data can be exchanged, the operation data can be selected and taken in as reference data, and the current data of the plant can be input to obtain the current data. In the portable terminal for operation management of the plant, which transfers the data to the data processing personal computer,
A mobile terminal for operation management of a plant, wherein the reference data is simultaneously displayed as a reference value on the input screen of the current data. 2. The portable terminal for plant operation management according to claim 1, wherein the reference data is data estimated by statistical processing based on the accumulated operation data. 3. The plant operation management mobile terminal according to claim 1, wherein a warning is displayed when a difference between the reference data and the current data exceeds a preset allowable value. 4. The present condition data of the plant is input to a portable information terminal in which reference data necessary for judging the grasp of the situation of the plant is fetched from a data processing personal computer for accumulating operation data of the plant. A plant operation management method, which outputs a comparison result between current data and the reference data and transfers the current data to the data processing personal computer.