JP2011129046A - Water and sewage facility operation support equipment and program - Google Patents

Abstract

[PROBLEMS] To automatically create operation support information that covers regional characteristics and facility-specific operation regulations in addition to generally known operation determinants.
SOLUTION: When operating a water and sewage facility 3, an operation data collection unit 11 that collects in real time a signal output from a specific device constituting the facility as operation data, and statistically analyzing the collected operation data to obtain a constant An operation determinant extraction unit 12 that obtains a combination of signals for which causal relationship is recognized in time and extracts a causal signal as an operation determinant from the combination of signals, and a cost or environmental load caused by operation of a specific device. A water and sewage facility operation support apparatus comprising: an operation evaluation unit 15 to be evaluated; and an operation support information providing unit 16 that rank-displays the evaluation results in the operation evaluation unit together with operation determining factors.
[Selection] Figure 1

Description

  The present invention relates to a water and sewage facility operation support apparatus and program for providing operation support information to an operator who operates a water and sewage facility.

  Water and sewage treatment facility plants are often operated according to the rules of thumb of operators. For this reason, there are problems such that sufficient experience is required before the plant can be operated, and that the cost efficiency decreases because the operation differs depending on the person. In order to avoid these problems, there is a method of preparing a plant operation plan in advance and providing it to the operator as support information.

  For example, in Patent Document 1, based on rainfall information, the water level value of a sewage storage facility, etc., the plant is controlled and the operation level is diagnosed while the water level of the sewage storage facility is kept below a set value, and the diagnosis result is A comprehensive monitoring and diagnosis apparatus presented to an operator is shown.

  Further, Patent Document 2 discloses a water distribution planning device that creates a water distribution pattern of a water distribution facility based on a demand amount prediction pattern in a certain area, and controls the operation of a water distribution pump at each water distribution station based on the extracted water distribution flow value. And the water distribution control method is shown.

JP 2006-79396 A JP 2005-223065 A

  However, all of the above-described conventional plant operation plan planning methods are based on the prediction result of the amount that needs to be processed in the plant, and the prediction method is a general model (for example, a genetic algorithm). Therefore, in order to reflect the regional characteristics of the processing facility and the facility's own operational rules, it was necessary to statistically process past performance values and adjust the model. Therefore, these models could not fully reflect regional characteristics.

  Therefore, in view of the above-described problems of the prior art, the present invention provides a water and sewage facility operation that can automatically create operation support information that covers regional characteristics and facility-specific operation regulations in addition to commonly known operation decision factors. An object is to provide a support device and a program.

  The water and sewage facility operation support device according to the present invention includes an operation data collection unit that collects in real time a signal output from a specific device constituting the facility as operation data when the water and sewage facility is operated, and the collected operation Statistical analysis of the data, obtaining a combination of signals for which a causal relationship is recognized within a certain period of time, and extracting the causal signal from the combination of signals as an operation determinant, and operation of the specific device An operation evaluation unit that evaluates the cost or environmental load caused by the operation, and an operation support information provision unit that rank-displays the evaluation results in the operation evaluation unit together with the operation determining factors.

  The water and sewage facility operation support program according to the present invention includes an operation data collection step for collecting a signal output from a specific device constituting the facility in real time as operation data when the water and sewage facility is operated, and the collected operation Statistical analysis of the data, obtaining a combination of signals in which a causal relationship is recognized within a certain period of time, extracting the causal signal from this combination of signals as an operation determinant, and operation of the specific device An operation evaluation step for evaluating the cost or environmental load caused by the operation, and an operation support information providing step for ranking display of the evaluation result in the operation evaluation step together with the operation determining factor are executed by the computer.

  According to the water supply and sewage facility operation support apparatus and program according to the present invention, in addition to the generally known operation determination factors, it is possible to automatically create operation support information that covers regional characteristics and facility-specific operation regulations. Play.

The block diagram which shows the example of whole structure of the water and sewage facility operation | use assistance apparatus which concerns on one Embodiment of this invention. The figure which shows the hardware structural example of the computer applied to the water and sewage facility operation support apparatus shown in FIG. The flowchart which shows the specific example of the process in the operation data collection part shown in FIG. The figure explaining the operation data collection process in a sewage treatment facility. The flowchart which shows the specific example of the process in the operation determination factor extraction part shown in FIG. The figure explaining the operation determinant in a water purification treatment facility. The figure explaining the operation decision factor in a sewage treatment facility. The figure which shows the specific example of an operation decision factor. The flowchart which shows the specific example of the pulse comparison process in the operation determination factor extraction part shown in FIG. The figure explaining the pulse comparison about rainwater pump equipment. The flowchart which shows the specific example of the analog comparison process in the operation determination factor extraction part shown in FIG. The figure explaining the analog comparison in a water purification treatment facility. The flowchart which shows the specific example of the pulse-analog comparison process in the operation determination factor extraction part shown in FIG. The figure explaining the pulse-analog comparison in a water purification treatment facility. The figure explaining the pulse-analog comparison in a water purification treatment facility. The flowchart which shows the specific example of the process in the evaluation criteria setting part shown in FIG. The figure which shows the example of a setting of the evaluation reference | standard in a water purification treatment facility. The figure which shows the example of a setting of the evaluation criteria in a sewage treatment facility. The figure which shows the specific example of an evaluation criterion. The flowchart which shows the specific example of the process in the operation | use evaluation part shown in FIG. The figure which shows the specific example of the evaluation result in a water purification plant. The flowchart which shows the specific example of the process in the operation assistance information provision part shown in FIG. The figure which shows the example of provision of the operation information by a ranking process. The figure which shows the example of provision of the operation information by an averaging process. The block diagram which shows the example of whole structure of the water-and-sewage-facility operation assistance apparatus which concerns on other embodiment of this invention.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. FIG. 1 is a diagram illustrating an overall configuration example of a water and sewage facility operation support device 1 according to an embodiment of the present invention. The water and sewage facility operation support apparatus 1 is a computer that is connected to the water and sewage facility 3 via the network 2 and provides the operation support information in the water and sewage facility 3 to the operator. The operation data collection unit 11 and the operation determinant extraction unit 12, an evaluation standard setting unit 13, a database unit 14, an operation evaluation unit 15, and an operation support information providing unit 16.

  The operation data collection unit 11 collects analog signals and pulse signals generated in daily operation in specific equipment (for example, discharge pumps and various sensors) constituting the water and sewage facility 3 as operation data in real time, and a database unit 14 is a program for saving data to 14. Specific examples of operational data to be collected and stored include water pump operation / stop signals for water treatment facilities, water level values for reservoirs, water level values for inflows at sewage treatment facilities, and operation / stop signals for discharge pumps. Plant operation data and sensor signals.

  The operation determining factor extraction unit 12 statistically analyzes the collected operation data, obtains a combination of signals in which a causal relationship is recognized within a certain period of time (for example, 1 hour), and uses the signal combination to supply a signal causing the cause to the water and sewerage This is a program that extracts factors that determine the operation in the facility 3 (hereinafter referred to as “operation determining factors”), associates them with events (operation data), and stores them in the database unit 14. Here, by statistically analyzing the result of signal comparison of operation data, a plurality of causal events are automatically detected, and operation determination factors and events (operation data) are linked. For example, in the case of a water purification treatment facility, the operation and stop of a water intake pump from a river (that is, the amount of purified water at a water purification plant) is set with the weather and temperature of the day as operation determining factors. In the case of sewage treatment facilities, the water level of the upstream sewage pipe is set as an operation determinant for the operation / stop of the discharge pump to the river.

In the present embodiment, the operation determining factor extraction unit 12 automatically detects a plurality of causal events by the following three comparison methods, and links the operation determining factor and a plurality of events (operation data).
(1) Pulse comparison
“Pulse comparison” refers to comparing events between pulse signals such as “ON” and “OFF”, “failure” and “recovery”, and the like.
(2) Analog comparison “Analog comparison” refers to comparing events between analog signals such as the water level of a reservoir or the amount of water taken from a river.
(3) Pulse-analog comparison “Pulse-analog comparison” refers to, for example, comparing an event of a pulse signal such as “ON” and “OFF” with an analog signal such as a water level in a reservoir.

  The evaluation standard setting unit 13 is a program that sets an evaluation standard for evaluating the degree of influence (for example, cost or environmental load) caused by operation of a specific device, and stores the evaluation standard in the database unit 14. For example, in the case of a water purification treatment facility, the operation and stoppage of the water intake pump is based on the cost required for water purification. In the case of sewage treatment facilities, the environmental load of discharged water is used as an evaluation standard for the operation / stop of the discharge pump.

  The database unit 14 is a database that stores and manages operational data, operational determinants, evaluation criteria, and operational evaluation results. The operational data table 14 a that stores operational data collected by the operational data collection unit 11 includes signal generation sources. A signal group definition table 14b for storing signal classifications predefined for each facility, a detection signal group table 14c for storing combinations of signals detected within a predetermined time, and an operation decision extracted by the operation determinant extraction unit 12 An operation determination factor table 14d for storing factors, an evaluation criterion table 14e for storing evaluation criteria set by the evaluation criterion setting unit 13, and an evaluation result table 14f for storing evaluation results output from the operation evaluation unit 15 are provided. .

  The operation evaluation unit 15 is a program that evaluates the degree of influence (such as cost or environmental load) caused by the operation of a specific device based on the evaluation criteria, and stores the evaluation result in the database unit 14. For example, when the operation status of the water intake pump in the water treatment facility is evaluated based on the cost required for water intake, the higher score is assigned in ascending order of cost. Moreover, when the operational status of the discharge pump at the sewage treatment facility is evaluated based on the environmental load of the discharged water, the lower the odor and turbidity of the discharged water, the higher the score.

  The operation support information providing unit 16 acquires the evaluation result data having a high evaluation score from the past evaluation results accumulated in the evaluation result table 14f, displays the evaluation result data on the screen, and the detailed result selected on the screen. It is a program that displays operational data corresponding to data in time series and provides it to the operator.

In the present embodiment, the operation support information providing unit 16 organizes past evaluation results by the following two types of processing methods and provides them to the operator as operation support information.
(1) Ranking process Based on the evaluation criteria, an evaluation result having a high evaluation score is selected from past evaluation results stored in the evaluation result table 14f. Then, the selected results are sorted in descending order of evaluation score, and provided as an operation method in the future together with operation determining factors.
(2) Averaging process
Based on the evaluation criteria, a predetermined number is selected from the past evaluation results stored in the evaluation result table 14f in descending order of evaluation points. Then, the operation data of the same operation determining factor is averaged among the selected results.

  FIG. 2 is a diagram illustrating a configuration example of a computer applied to the water and sewage facility operation support apparatus 1 according to an embodiment of the present invention. As shown in the figure, a computer applied to the water and sewage facility operation support apparatus 1 includes a CPU (Central Processing Unit) 41, a ROM (Read Only Memory) 42, a RAM (Random Access Memory) 43, and an input / output interface 44. , A system bus 45, an input device 46, a display device 47, an auxiliary storage device 48, and a communication device 49.

  The CPU 41 is a processing device that executes various arithmetic processes using programs, data, and the like stored in the ROM 42 and the RAM 43. The ROM 42 is a read-only storage device that stores basic programs and environment files for causing the computer to function. The RAM 43 is a storage device that stores a program executed by the CPU 41 and data necessary for execution of each program, and can be read and written at high speed. The input / output interface 44 is a device and a program that mediate connection between various hardware and the system bus 45. The system bus 45 is an information transmission path shared by the CPU 41, ROM 42, RAM 43, and input / output interface 44.

  The input / output interface 44 is connected with hardware such as an input device 46, a display device 47, an auxiliary storage device 48, and a communication device 49. The input device 46 is a device that processes input from an operator, and is, for example, a keyboard or a mouse. The display device 47 is a device that displays an operation result, a creation screen, and the like to an operator, and is, for example, a CRT, a liquid crystal display, a plasma display, or the like. The auxiliary storage device 48 is a large-capacity storage device that stores programs and data, and is, for example, a hard disk device.

<Operation data collection>
FIG. 3 is a flowchart showing a specific example of processing in the operational data collection unit 11 shown in FIG.
In S301, operation data such as a plant operation signal and sensor data is acquired in real time from specific equipment constituting the water and sewage facility 3. FIG. 4 is a diagram for explaining operation data collection processing in a sewage treatment facility. Here, in the case of a sewerage treatment facility, an example is shown in which the opening and closing of the sewage inflow gate to the facility, the water level of the inflow trough, the operation / stop of the discharge pump, and the pump discharge amount are monitored and collected in real time .

In S302, it is determined whether or not the acquired plant operation signal and sensor data are collection targets designated in advance. If it is determined that the data is to be collected, the process proceeds to S303. On the other hand, if it is determined that it is not a collection target, the process is terminated.
In S303, the acquisition time data is added to the acquired operation data and accumulated in the operation data table 14a, and the process ends.

<Operation determinant setting>
FIG. 5 is a flowchart showing a specific example of processing in the operation determining factor extraction unit 12 shown in FIG.
In S501, operation data collected within a certain time is acquired from the operation data table 14a.
In S502, only the pulse signal is extracted from the operation data collected in S501, a pulse comparison process is performed, and a combination of pulse signals is extracted.

In S503, only the analog signal is extracted from the operation data collected in S501, the analog comparison process is performed, and the combination of analog signals is extracted.
In S504, a pulse-analog comparison is performed from the operation data collected in S501, and a combination of a pulse signal and an analog signal is extracted.
In S505, statistical analysis of the combination of signals extracted in S502 to S504 is performed.

  In S506, as a result of the statistical analysis in S505, an operation determining factor in the water and sewage treatment facility 3 is extracted from a combination of signals having a high appearance frequency within a predetermined time, and is stored in the operation determining factor table 14d, and the processing is terminated. To do. In addition, as a method of extracting an operation determining factor from a combination of signals, (i) a method of mutually setting one signal selected from a combination of signals as an operation determining factor for other signals, There is a method in which a causal relationship is defined, and one signal selected from a combination of signals with reference to this definition is set as an operation determining factor for another signal. In this embodiment, an unknown causal relationship between signals is extracted by using the method (i), but the methods (i) and (ii) can be arbitrarily combined.

  In this way, by automatically comparing various signals, it is possible to reflect the regional characteristics that the processing facility has jurisdiction over and the operation rules unique to the facility, or to extract operation methods that the operator himself was not aware of. be able to. FIG. 6 is a diagram for explaining operation determining factors in the water purification treatment facility. For example, in the case of a water purification facility, the amount of water demand varies depending on the weather and temperature of the day, and thus the amount of water taken from the river (the amount of water purified) is determined. That is, the amount of water demand is extracted as an operation determining factor. FIG. 7 is a diagram for explaining operation determining factors in the sewage treatment facility. In the case of sewerage treatment facilities, the operation / stop of the water pump is decided based on the fluctuation trend of the water level of the inflow dredger. That is, the water level of the inflow trough is extracted as an operation determining factor. FIG. 8 is a diagram illustrating a specific example of the operation determining factor.

  As described above, in the present embodiment, the operation determining factor extraction unit 12 performs comparison of operation data by three types of methods: pulse comparison, analog comparison, and pulse-analog comparison. The frequency of these comparison processes is determined in advance, such as once a day or once a week. Hereinafter, each comparison method will be described in detail.

(1) Pulse Comparison FIG. 9 is a flowchart showing a specific example of the pulse comparison process in the operation determining factor extraction unit 12 shown in FIG. 1, and is a diagram for explaining the process of S502 in FIG. 5 in detail.
In step S901, the signal group definition table 14b is referred to, and the operation data collection unit 11 acquires the classification of the pulse signal that is the collection target.
In S902, the value of the pulse signal of the same classification within a certain time is picked up from the operation data table 14a.

In step S903, signal values within the same category are analyzed to determine whether there is a signal whose state has changed. If it is determined that there is a pulse signal whose state has changed, the process proceeds to S904. On the other hand, if it is determined that there is no pulse signal whose state has changed, the process proceeds to S905.
In S904, a combination of pulse signals having changed is extracted and stored in the detection signal group table 14c. For example, when there is a high frequency that the failure signal of No. 1 pump and the operation signal of No. 2 pump are in the same group, “No. 1 pump failure signal” and “No. 2 pump operation signal” are automatically retained in combination. Keep it. FIG. 10 is a diagram illustrating pulse comparison for the rainwater pump facility.

  In S905, the presence / absence of another classification for the pulse signal is determined. Here, when it is determined that there is another classification, the process returns to S901, and the processes from S901 to S905 are repeated until the process is completed for all the classifications. On the other hand, if it is determined that there is no other classification, the process is terminated.

(2) Analog Comparison FIG. 11 is a flowchart showing a specific example of the analog comparison process in the operation determining factor extraction unit 12 shown in FIG. 1, and is a diagram for explaining the process of S503 in FIG. 5 in detail.
In S1101, with reference to the signal group definition table 14b, the operation data collection unit 11 acquires the classification of the analog signal that is the collection target.
In S1102, the value of the analog signal of the same classification within a predetermined time is picked up from the operation data table 14a.

In S1103, the maximum value of each analog signal is extracted.
In S1104, signals whose maximum values are larger than the threshold value are grouped and stored as group A in the detection signal group table 14c. FIG. 12 is a diagram for explaining analog comparison in a water purification treatment facility. Here, if the maximum daily water level of the reservoir is high and the maximum value of water intake from the river is also high, combine the two signals of “water level of the reservoir” and “water intake from the river” Shown to keep.

In S1105, the minimum value of each analog signal is extracted.
In step S1106, signals whose minimum value is smaller than the threshold value are grouped and stored as a group B in the detection signal group table 14c.
In step S1107, the moving average change rate of each analog signal is calculated.
In S1108, signals having a change rate larger than the threshold value are grouped, and stored as a group C in the detection signal group table 14c.

In S1109, a new group is created by combining groups A, B, and C, and this is stored as group D in detection signal group table 14c.
In S1110, the presence / absence of another classification for the analog signal is determined. If it is determined that there is another classification, the process returns to S1101, and the processes from S1101 to S1109 are repeated until the process is completed for all the classifications. On the other hand, if it is determined that there is no other classification, the process is terminated.

(3) Pulse-Analog Comparison FIG. 13 is a flowchart showing a specific example of the pulse-analog comparison process in the operation determining factor extraction unit 12 shown in FIG. 1, and is a diagram for explaining the process of S504 in FIG. 5 in detail. .
In S1301, a pulse signal whose state has not changed within a certain time is acquired from the operation data table 14a.
In S1302, a group of analog signals for the same time as the pulse signal is acquired from the detection signal group table 14c.

  In S1303, a new group is created by combining the group of the pulse signal having no state change and the analog signal acquired in S1302, and stored in the detection signal group table 14c. FIG. 14 is a diagram for explaining a pulse-analog comparison in a water purification treatment facility. Here, when the No. 1 pump is in operation and there is a tendency that the average value of the electric energy is high, the “No. 1 pump operation signal” and the “electric energy” are automatically held in combination. It has been shown.

In S1304, a pulse signal whose state has changed within a predetermined time is acquired from the operation data table 14a.
In step S1305, an analog signal at the same time is acquired from the operation data table 14a, and a moving average change rate before and after the state change of the pulse signal is calculated for each analog signal.

  In S1306, it is determined whether or not there has been a rapid change in the rate of change of the analog signal before and after the state change of the pulse signal. If it is determined that there is a rapid change in the change rate of the analog signal, the process proceeds to S1307. On the other hand, if it is determined that there is no abrupt change in the change rate of the analog signal, the process ends.

  In S1307, a detection signal group table is formed as a new detection signal group by combining a pulse signal whose state has changed within a certain period of time and each analog signal having a significant difference in moving average change rate before and after the state change. 14c, and the process ends. FIG. 15 is a diagram illustrating a pulse-analog comparison in a water purification treatment facility. Here, when the operation signal of the No. 1 pump changes from “stop” to “operation”, if the change rate of the water level in the previous reservoir has been increasing rapidly, ”And“ reservoir level ”are shown. That is, the state change of the pulse signal within a certain period of time is compared with the change rate of the analog signal before the change of state. wear.

  In this way, by automatically linking the operation and the factors (events) that determine it by statistical analysis, in addition to the generally known factors, it covers the regional characteristics and facility-specific operation regulations. It is possible to discover factors that the operator has not noticed before. For example, in the case of a sewage treatment facility, the number of water pumps is generally increased when the water level of the inflow trough is rising, but in certain facilities, the operation of the water pump is stopped and the inflow gate is stopped. This is effective when there is an operation of closing.

<Evaluation standard setting>
FIG. 16 is a flowchart showing a specific example of processing in the evaluation criterion setting unit 13 shown in FIG.
In S1601, an evaluation criterion setting screen (not shown) for setting an evaluation criterion including at least an evaluation criterion name, a score index, and an evaluation score is displayed.
In S1602, the evaluation criterion input on the evaluation criterion setting screen is acquired.

In S1603, the evaluation criterion table 14e is referred to using the evaluation criterion name as a key, and the presence / absence of the evaluation criterion of the same evaluation criterion name is determined. If it is determined that there is an evaluation criterion with the same evaluation criterion name, the process advances to step S1604. On the other hand, if it is determined that there is no evaluation standard with the same evaluation standard name, the process proceeds to S1605.
In step S1604, the evaluation criterion table 14e is updated with the evaluation criterion input on the screen, and the process ends.
In step S1605, the evaluation standard information input on the screen is newly registered in the evaluation standard table 14e, and the process ends.

  FIG. 17 is a diagram illustrating an example of setting evaluation criteria in a water purification facility. The cost for water purification is the sum of water rights, plant fuel, power consumption, and injected chemicals. In order to lower the cost of water purification, it is conceivable to use low-cost night electricity or to purify the amount of water that meets the water demand on the day. Therefore, in the case of a water purification facility, the evaluation standard is set so that the lower the cost for water purification, the higher the evaluation.

  FIG. 18 is a diagram illustrating an example of setting evaluation criteria in a sewage treatment facility. In the case of combined sewers, there is a possibility that untreated sewage will be discharged during rainfall, but the smaller the amount, the smaller the load on the environment. In order to reduce the discharge amount of untreated sewage, it is conceivable to determine the amount of inflow into the facility and to use the maximum storage capacity of the sewage treatment facility. Therefore, in the case of a sewage treatment facility, the evaluation standard is set so that the lower the environmental load of the treated water discharged into the river, the higher the evaluation. FIG. 19 is a diagram illustrating a specific example of evaluation criteria.

<Operational evaluation>
FIG. 20 is a flowchart showing a specific example of processing in the operation evaluation unit 15 shown in FIG.
In S2001, operational data is acquired from the operational data table 14a at regular intervals.
In S2002, it is determined whether the operational data is an evaluation target. Here, if it is determined that it is an evaluation target, the process proceeds to S2003. On the other hand, if it is determined that it is not an evaluation target, the process is terminated.

In S2003, an evaluation criterion is acquired from the evaluation criterion table 14e.
In S2004, operation data is evaluated based on the acquired evaluation criteria, and an evaluation score for the evaluation criteria is calculated.
In S2005, the evaluation criterion table 14e is referred to and the presence / absence of another evaluation criterion that is not used for the evaluation of the operational data is determined. If it is determined that there is another evaluation criterion, the process returns to S2003. On the other hand, if it is determined that there is no other evaluation criterion, the process proceeds to S2006.

In S2006, the operation determining factor table 14d is searched using the operation pattern of the evaluated operation data as a key.
In S2007, it is determined whether there is data that matches the operation pattern as a result of the search. If it is determined that there is matching data, the process proceeds to S2008. On the other hand, if it is determined that there is no matching data, the process ends.

  In S2008, a final evaluation result is obtained by associating an operation determining factor whose operation pattern matches the evaluation result in S2004, the evaluation result is stored in the evaluation result table 14f, and the process is terminated. FIG. 21 is a diagram illustrating a specific example of an evaluation result in a water purification treatment facility.

<Provision of operation information>
FIG. 22 is a flowchart illustrating a specific example of processing in the operation support information providing unit 16 illustrated in FIG.
In S2201, an operation support information search is performed in which operation support information is searched by inputting a period of operation data to be evaluated, an evaluation standard of operation data, an evaluation point, an evaluation result processing method (ranking process / average process), and the like. A screen (not shown) is displayed.
In S2202, input information on the operation support information search screen is acquired.

In S2203, it is determined whether or not the evaluation result processing method designated on the operation support information search screen is a ranking process. If it is determined that the ranking process is designated, the process advances to step S2204. On the other hand, if it is determined that the averaging process is designated, the process advances to step S2205.
In S2204, evaluation result data having a high evaluation score is extracted from the evaluation result table 14f using the evaluation criterion as a key.
In S2205, the evaluation result data with the highest evaluation score is extracted using the evaluation criterion as a key, and the average value of the evaluation score and the operation data is calculated for each operation determining factor.

  In S2206, the evaluation results are sorted in descending order of evaluation points and displayed on the operation information provision screen. FIG. 23 is a diagram illustrating an example of providing operation information by ranking processing. In the case of a water treatment facility, the results of evaluation based on the cost of water purification are arranged in ascending order of cost, and provided with the operation determinants at that time (for example, the operation status of the intake pump and the water pump, the amount of chemical injection, etc.) It is shown. In addition, when an operation determining factor (an operating state or a chemical injection amount) is selected on the screen, operation data associated with the operation determining factor is displayed. FIG. 24 is a diagram illustrating an example of providing operation information by the averaging process. In the sewage treatment facility, the results evaluated on the basis of the environmental load are selected in order from the one with the lowest environmental load, and the average of the accumulated rainfall over the last 60 minutes and the number of pumps operated as the future operation method An example to provide is shown.

  In S2207, it is determined whether or not there is a display request for operation data corresponding to the evaluation point on the operation information provision screen. For example, in the operation information providing screen shown in FIG. 23, the detailed information providing screen is displayed by clicking an operation determining factor with a mouse. If it is determined that there is a request to display operational data, the process advances to step S2208. On the other hand, if it is determined that there is no display request, the process ends.

  In S2208, the operation data related to the combination of the operation determining factor and the evaluation point selected on the operation information providing screen is displayed as the detailed information providing screen in time series, and the process is terminated.

  As described above, according to the water and sewage facility operation support device 1 according to the present embodiment, a factor that is generally known by automatically detecting a plurality of causal events (plant operation). In addition to this, it is possible to cover regional characteristics and facility-specific operation regulations, and it is possible to discover factors that the operator himself has not noticed so far.

  The result of operation evaluation can be used for operator training. For example, if you want to learn about the operation of sewage treatment facilities during sudden heavy rains, you can search for high and low evaluations from past evaluation results and refer to them as examples. Furthermore, the result of the operation evaluation is also effective for planning an operation budget for the water and sewage facility 3. For example, it is possible to perform a cost simulation when an operation with a high evaluation result is performed.

  Note that the present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage. In addition, various inventions can be formed by appropriately combining a plurality of constituent elements disclosed in the embodiment. For example, some components may be deleted from all the components shown in the embodiment. Hereinafter, modifications of the present invention will be described.

<Modification>
FIG. 25 is a block diagram showing an example of the overall configuration of a water and sewage facility operation support apparatus 1 according to another embodiment of the present invention. The operation data editing unit is further provided in the water and sewage facility operation support apparatus 1 shown in FIG. 1, the operation data (actual value) once evaluated is corrected to a virtual value and re-evaluated by the operation evaluation unit 15. It is made to be able to. The re-evaluated result is stored as an evaluation result in the same manner as the actual value evaluation. As a result, it is possible to optimize future operation method information to be provided by simulating better operations and re-evaluating / saving them.

DESCRIPTION OF SYMBOLS 1 ... Water and sewage facility operation support apparatus 2 ... Network 3 ... Water and sewage facility 11 ... Operation data collection part 12 ... Operation decision factor extraction part 13 ... Evaluation criteria setting part 14 ... Database part 14a ... Operation data table 14b ... Signal group definition table 14c ... Detection signal group table 14d ... Operation determining factor table 14e ... Evaluation criteria table 14f ... Evaluation result table 15 ... Operation evaluation unit 16 ... Operation support information providing unit 41 ... CPU
42 ... ROM
43 ... RAM
44 ... Input / output interface 45 ... System bus 46 ... Input device 47 ... Display device 48 ... Auxiliary storage device 49 ... Communication device

Claims (5)

An operational data collection unit that collects in real time as operational data the signals output by specific devices that make up the facility during operation of the water and sewage facilities;
Statistical analysis of the collected operational data, obtaining a combination of signals in which a causal relationship is recognized within a certain time, and an operational determinant extracting unit that extracts a causal signal from the combination of signals as an operational determinant;
An operation evaluation unit for evaluating the cost or environmental load caused by the operation of the specific device;
An operation support information providing unit for displaying the evaluation results in the operation evaluation unit together with the operation determining factors;
A water and sewage facility operation support device characterized by comprising:   The water and sewage facility operation support apparatus according to claim 1, wherein the operation data collection unit collects analog signals output from the specific device as the operation data in real time.   The water supply and sewage facility operation support device according to claim 2, wherein the operation data collection unit further collects a pulse signal output from the specific device as the operation data in real time.   The operation support information providing unit selects an evaluation result having a predetermined number of high evaluation scores for each operation determining factor, obtains an average value, and displays the average value on a screen. The water and sewage facility operation support device according to any one of claims 1 to 3. An operation data collection step for collecting in real time a signal output from a specific device constituting the facility during operation of the water and sewage facility as operation data;
Statistical analysis of the collected operational data, obtaining a combination of signals in which a causal relationship is recognized within a certain time, and extracting a causative signal as an operational determinant from this combination of signals,
An operation evaluation step for evaluating the cost or environmental load caused by the operation of the specific device;
An operation support information providing step for ranking display of the evaluation results in the operation evaluation step together with the operation determining factors;
Water supply and sewage facility operation support program characterized by having a computer execute.

Images