JP2011253386A - Apparatus, system and program for plant operation monitoring support - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an apparatus, a system and a program for plant operation monitoring support capable of confirming in advance influences of an operator's unit operation on a plant and enabling a low-skilled operator to perform stable operation of the plant with a field of view that is close to one owned by a skilled operator.SOLUTION: A risk diagnostic part 705 acquires measurement values of a plant upon a unit operation, analyzes operation state of the plant based on the acquired measured values, and diagnoses whether risks are in an increasing or decreasing trend in relation to influences given to the plant by the performance of the unit operation. A drawing/displaying control part 703 expresses the increasing/decreasing trend of the risks diagnosed by the risk diagnostic part 705 as vectors which are superimposed on previously displayed influences given to the plant.

Description

  The present invention relates to a plant operation monitoring support apparatus, system, and program suitable for use in a water purification plant or the like.

  In water treatment plant facilities, when a rapid filtration method is adopted, a mixing pond that injects various chemicals such as a flocculant and performs rapid stirring, a floc formation pond that grows aggregates (floc) generated in the mixing pond, and Then, a settling basin that precipitates and removes the grown flocs and a filtration pond that removes particles and flocs that could not be settled are formed as water tank equipment.

  In addition to the aquarium equipment described above, process equipment such as water level sensors and valve regulators, so-called on-site equipment, are provided at the monitoring site of the water treatment plant facility, and the actual measured values measured at each on-site equipment are It is buffered and monitored in real time at each sampling time of measurement in a DCS (Distributed Control System) allocated for each.

Thereafter, the buffered measurement data is transferred to the LAN (Local Area
It is stored in the form of a file or database in a DB (Data Base) server or the like connected to the network via a network or the like, and is appropriately accessed by a host system such as a central monitoring server or client.

  According to the plant monitoring system described above, actual values such as raw water quality, mixing conditions, flock formation pond operating conditions, sedimentation basin water quality data, etc. acquired from each field device deviate from preset upper and lower limit values. If it is detected as “abnormal”, an abnormal alarm is notified to the operator. In addition, guidance is provided for the cause and response to the abnormal alarm.

  Patent Document 1 compares a monitoring target amount including at least one of statistics including an instantaneous value of collected data with a reference value to detect a change state of a process amount, and displays monitoring information including the detected data on a screen. A method for accurately detecting an abnormality of a plant at the symptom stage has been proposed.

JP 2000-29513 A

  However, according to the above-described prior art, an abnormality alarm does not occur unless the set value is exceeded, and even if an abnormality response guidance is displayed after the abnormality alarm is generated, It just tells you how.

  On the other hand, according to the technique disclosed in Patent Document 1, statistical processing is performed on the basis of instantaneous value data of various process amounts to accumulate statistical data, and the characteristics are taken into consideration from the long-term tendency of the monitoring target. Since the reference value is automatically generated, it is possible to set the monitoring reference without manpower. However, since the abnormality determination is still made by comparison with the reference value, no abnormality alarm is generated unless the reference value is exceeded.

  The operator originally needs to stably operate the plant by grasping predictions and signs of abnormalities and operating, responding and monitoring in advance. Therefore, the operator needs to confirm in advance the influence of the unit operation on the plant, and the emergence of a plant operation monitoring support method for that purpose has been desired.

  Therefore, the present invention has been made in view of the above problems, and it is possible to confirm in advance the influence of unit operations performed by the operator on the plant, and even in the case of an operator with low driving skills, the viewpoint is close to that of a skilled operator. An object of the present invention is to provide a plant operation monitoring support device, system, and program capable of stable operation of a plant.

  In order to solve the above problems, the plant operation monitoring support device of the present invention, an operation risk storage unit that stores a relational model that systematically describes the influence of unit operations related to plant operation on the plant, in a hierarchical structure; With the unit operation as a trigger, the operation risk storage unit is referred to, the drawing / display control unit that hierarchically expands and displays the influence of the unit operation on the plant, and obtains the measured value of the plant, Analyzing the operation status of the plant from the acquired actual measurement value, and a risk diagnosis unit for diagnosing the increase / decrease direction of the risk related to the influence of the unit operation, the drawing / display control unit, The content displayed on the screen is superimposed and displayed with a vector in the direction of increase or decrease of the risk diagnosed by the risk diagnosis unit.

According to the present invention, the risk diagnosis unit obtains an actual measurement value of the plant in response to the unit operation, analyzes the operation state of the plant from the acquired actual measurement value, and performs risk operation relating to the influence on the plant by performing the unit operation. Diagnose the direction of increase or decrease. Then, the drawing / drawing / display control unit expresses the increase / decrease direction of the risk diagnosed by the risk diagnosis unit as a vector, and superimposes and displays the influence on the plant previously displayed on the screen.
For this reason, the operator can visually recognize the effect on the plant for the operation to be performed, and the vector can understand at a glance which risk increases or decreases in the effect. It can be used for subsequent driving operations. Therefore, it can contribute to the stable operation of the plant. In addition, since it is possible to monitor the operation of the plant while checking the contents of the screen, even a low-skilled operator can stably operate the plant with a view close to a skilled operator.

  In the above invention, the operation risk storage unit is a relational database managed by a relational database management system based on the relational model. According to the present invention, in order to construct a relational database and manage the influence of unit operations related to plant operation on the plant, it is possible to search by concatenating the influence on a plurality of plants only by giving the unit operation as a condition. be able to.

In the above invention, the plant takes water from the river, mixes the landing well that leads to the water purification plant, and injects the flocculant and various chemicals into the treated raw water, and forms flocs in the treated raw water by slow stirring. A water purification plant facility comprising a floc formation pond to be suspended, a sedimentation basin for sedimenting suspended solids and the floc, and a filtration basin for filtering the precipitated treated water, wherein the risk diagnosis unit is configured to use raw water From the water quality, the mixing pond water quality and operating conditions, the floc-forming pond water quality and operating conditions, and the objective function indicated by the weighting of the settling pond water quality, the filtration pond water quality and the purified water quality on the plant, the data mining A risk relating to the influence on the plant is quantitatively derived, the risk is compared with a threshold value, and the increase / decrease direction of the risk is diagnosed.
According to the present invention, the risk diagnosis unit quantitatively derives a risk related to the influence on the plant by data mining, and diagnoses the increase / decrease direction of the risk. Therefore, by displaying the results of the risk diagnosis by the risk diagnosis unit in vector, the operator can recognize the impact on the plant for the operation to be performed, and the vector increases which risk is increased. Or since it can be understood at a glance whether it decreases or not, it can be reflected in subsequent operation operations, and can contribute to stable operation of the plant.

  The plant operation monitoring support system according to the present invention is configured to inject a flocculant and various chemicals into an incoming well that guides water from a river to a water purification plant, and to form flocs in the raw raw water by slow stirring. A plant operation monitoring support system in a water purification treatment facility comprising a floc formation pond, a sedimentation basin for sedimenting suspended solids and the floc, and a filtration basin for filtering treated water, provided in each of the water purification treatment facilities An operation risk storage unit that stores a relational model that is systematically described in a hierarchical structure with respect to an influence on a plant by a field operation including a sensor and a unit operation related to a plant operation using the field device, and the unit operation As a result, the operation risk storage unit is referred to and the influence of the unit operation on the plant is hierarchically expanded and displayed on the screen. Acquire actual measurement value, analyze the operation status of the plant from the acquired actual measurement value, diagnose the risk increase / decrease direction related to the impact of the unit operation, and display the content displayed on the screen And a plant operation monitoring apparatus that superimposes and displays the increase / decrease direction of the risk with a vector.

  The plant operation monitoring support program of the present invention stores a relational model in which a plurality of field devices are connected, and systematic descriptions of the effects of unit operations related to plant operation using the field devices on the plant in a hierarchical structure. A plant operation monitoring support program that is executed on a computer of a plant operation monitoring support device having a database, wherein, with the unit operation as a trigger, the influence of the unit operation on the plant is hierarchically expanded with reference to the database The process of displaying on the screen, the process of acquiring the actual measured value of the plant from the field device, analyzing the operation status of the plant from the acquired actual measured value, and the risk regarding the impact on the plant by performing the unit operation The process of diagnosing the direction of increase / decrease and the content displayed on the screen indicate the increase / decrease direction of the risk. Characterized in that to execute a process of displaying superimposed Le, a.

  According to the present invention, it is possible to confirm in advance the influence of unit operations performed by an operator on a plant, and even if an operator is low in skill, it is possible to stably operate the plant with a view close to an experienced operator. Support devices and systems and programs can be provided.

It is the figure which showed the structure of the plant operation monitoring assistance system which concerns on embodiment of this invention in association with the water purification plant facility. It is a block diagram which shows the structure of the plant operation monitoring assistance apparatus which concerns on embodiment of this invention. It is a figure which shows an example of the relationship model of operation risk management DB shown in FIG. It is a flowchart which shows operation | movement of the plant monitoring assistance apparatus which concerns on embodiment of this invention. It is the figure which showed an example of the screen structure of the plant monitoring assistance apparatus which concerns on embodiment of this invention.

  DESCRIPTION OF EMBODIMENTS Hereinafter, embodiments for carrying out the present invention (hereinafter referred to as embodiments) will be described in detail with reference to the accompanying drawings. Note that the same number is assigned to the same element throughout the description of the embodiment.

(Configuration of the embodiment)
FIG. 1 is a diagram showing a configuration of a plant operation monitoring support system according to an embodiment of the present invention in association with a water purification plant facility.

  As an example of a plant, a water purification plant facility takes in water from a river with a water pump and leads it to a water purification plant (hereinafter referred to as an aquarium facility 1), and agitation agents and various chemicals are injected into raw water and rapidly stirred. Mixing tank (water tank equipment 1-1), floc formation pond (hereinafter referred to as water tank equipment 2) that forms flocs in the raw raw water by slow agitation, sedimentation tank that precipitates suspended solids and flocs, and sedimentation It consists of a filtration pond that filters treated water. In addition, although there are also a water purification pond and a drainage pond, the description is abbreviate | omitted here.

  Each aquarium facility 1, 2,... Is equipped with sensors such as water level sensors, water quality measuring instruments, valve regulators, etc., so-called field devices 3, 4,... .. Are buffered in real time for each sampling time of measurement in the DCS 5, 6. The buffered measurement data is stored in the form of a file or database in a DB server (not shown) connected to the network by a LAN or the like, and is appropriately accessed by the central monitoring server 7 or clients 8 and 9 via the LAN.

  The central monitoring server 13 is an operation risk storage unit (operation risk described later) that stores a relational model systematically described in a hierarchical structure with respect to the influence of unit operations related to plant operation using the field devices 3, 4,... DB), with the unit operation as an opportunity, refer to the operation risk storage unit and hierarchically display the influence of the unit operation on the plant and display it on the screen, and obtain the measured value of the plant from the field equipment 3, 4,. Then, a plant operation monitoring apparatus that analyzes the operation state of the plant from the acquired actual measurement value, diagnoses the increase / decrease direction of the risk relating to the influence on the plant by performing the unit operation, and displays the screen as a vector is implemented. Details will be described later.

FIG. 2 is a block diagram showing the configuration of the plant operation monitoring support apparatus according to the embodiment of the present invention. As shown in FIG. 2, the central monitoring server 7 that realizes the function as the plant operation monitoring support apparatus of the present invention. Includes a control unit 70, an operation unit 71, a display unit 72, and a storage unit 73.

  The operation unit 71 includes, for example, a power key, a call key, a numeric key, a character key, a direction key, a determination key, a function key, a key to which various functions are assigned, or a pointing device such as a mouse. When these keys or mouse are operated by the user, a signal corresponding to the operation content is generated and output to the control unit 70 as a user instruction.

  The display unit 72 is configured using, for example, an LCD (Liquid Crystal Display Device) or an organic EL (Electro-Luminescence), which is configured by arranging a large number of pixels (a combination of light emitting elements of a plurality of colors) vertically and horizontally. The display unit 72 displays an image corresponding to the display target data generated by the control unit 70 and drawn in a predetermined area (VRAM area) of a memory built in the control unit 70 or attached externally.

In the storage unit 73, an operation risk storage unit (operation risk DB 730) is allocated and stored. The operation risk DB 730 is a relational model that systematically describes the influence of unit operations related to plant operation on the plant in a hierarchical structure.
Specifically, as shown in FIG. 3 as an example of the data structure, the influence on the plant by the unit operation is associated with each other and stored. For example, when “PAC (flocculating agent) injection” is selected as the unit operation, in the case where the raw water quality is not changed in the water tank facility 1-1 (mixing pond), “PAC injection rate increase” is performed. As an influence on the process, in the aquarium facility 2 (floc formation pond), “alkalinity decreases”, and as a result, “a good quality aluminum hydroxide floc is not formed”.

  Moreover, if the “PAC injection rate is increased”, “pH reduction” in the flock formation pond will also lead to “a good quality aluminum hydroxide block is not formed”. In the sedimentation pond, a good quality aluminum hydroxide block is not formed in the floc formation pond (equipment 2). As a result, "the aluminum content of the unreacted PAC becomes cloudy." It leads to “turbidity rise”. In addition, when the raw water turbidity rises and “PAC injection rate increases” in the water tank facility 1-1 (mixing pond), it leads to “increase in solids” in the sedimentation basin. This will lead to the closure of the filtration pond. Furthermore, when “PAC injection rate increase” is performed in the water tank facility 1-1 (mixing pond), “aluminum removal is insufficient” in the sedimentation basin where proper precipitation treatment is not performed.

  In this way, the influence of the unit operation on the plant is created by a relational model systematically described in a hierarchical structure based on the know-how of a skilled operator. This relational model is a database managed by an RDBMS (Relational Data Base Management System) described later.

  The storage unit 73 includes, for example, a non-volatile storage device (non-volatile semiconductor memory, hard disk device, optical disk device, etc.), a randomly accessible storage device (eg, SRAM, DRAM), or the like.

  Returning to FIG. For example, the control unit 70 includes a memory or a microprocessor having an external memory. The memory stores the plant monitoring support program of the present invention, refers to the operation risk DB 730 when the unit operation is triggered, and hierarchically expands and displays the influence of the unit operation on the plant on the display unit 72. Obtain measured values of the plant from the devices 3 and 4, analyze the operating status of the plant from the obtained measured values, diagnose the direction of increase or decrease of the risk related to the impact of the unit operation, and display the screen as a vector It has the function to do.

  For this reason, the control unit 70 has a main control unit 700, an operation information acquisition unit 701, an RDBMS 702, and a drawing / display control unit 703 so that the structure of the plant operation monitoring support program to be executed is expanded and shown. And a communication interface unit 704 and a risk diagnosis unit 705.

The operation information acquisition unit 701 decodes information operated by the operation unit 71, for example, information related to unit operations such as “PAC injection” by the operator, and outputs the information to the RDBMS 702 and the risk diagnosis unit 705.
The RDBMS 702 searches the operation risk DB 730 constructed in the storage unit 73 on the condition of the unit operation acquired by the operation information acquisition unit, and outputs the search result to the drawing / drawing / display control unit 703.

  The drawing / drawing / display control unit 703 generates screen information from the search result of the operation risk DB 730 output from the RDBMS 702, draws it in a VRAM area (not shown), and displays the screen information drawn in the VRAM area on the display unit. The data is read out in synchronization with the display timing of 72 and displayed on the display unit 72. The drawing / display control unit 703 further superimposes and displays the increase / decrease direction of the risk diagnosed by the risk diagnosis unit, which will be described later, on the content displayed on the screen as a vector.

  The communication interface unit 704 communicates with the field devices 3 and 4 that are directly or indirectly connected to acquire an actual measurement value of the plant measured by the field devices 3 and 4, and the risk diagnosis unit Output to 705. The communication interface unit 704 is RS435 (Recommended Standard 435) when the field devices 3 and 4 are directly connected, and TCP / IP (Transmission Control Protocol / Internet) when indirectly connected from the DCS 5 and 6 via the LAN. (Communications in accordance with each protocol).

  The risk diagnosis unit 705 indicates the measured values of the plant acquired by communication via the communication interface unit 704, for example, raw water quality, mixing pond water quality and operation conditions, floc formation pond operation conditions, sedimentation pond water quality, filtration Data mining is performed from the water quality and purified water quality data and the objective function indicated by the weighting information of the influence on the plant which is defined in advance or is dynamically set by operating the operation unit 71, and the plant Quantitatively derive risks related to impacts. Then, a risk increase / decrease direction is diagnosed by comparing the derived risk with a threshold value. Then, the result is transferred to the drawing / drawing / display control unit 703. At this time, the drawing / display control unit 703 converts the increase / decrease direction of the risk into a vector expression such as an arrow, and draws it in the VRAM area by superimposing the influence data that the unit operation has on the plant, which is the previously drawn display information. To do.

  The main control unit 700 refers to the operation risk DB 730 when the control unit 70 is triggered by a unit operation by the operator, hierarchically displays the influence of the unit operation on the plant, and displays it on the display unit 72. 4) The function to obtain the measured value of the plant from 4 and analyze the operation status of the plant from the obtained measured value, diagnose the direction of increase / decrease of the risk related to the influence of the unit operation, and display it on the screen as a vector In order to realize the above, the above-described sequence control of the operation information acquisition unit 701, RDBMS 702, drawing / display control unit 703, communication interface unit 704, and risk diagnosis unit 705 is performed.

(Operation of the embodiment)
FIG. 4 is a flowchart showing the operation of the plant monitoring support apparatus according to the embodiment of the present invention. FIG. 5 is a diagram showing an example of a screen configuration of the plant monitoring support apparatus according to the embodiment of the present invention.

  Hereinafter, the operation of the plant monitoring support apparatus according to the embodiment of the present invention shown in FIGS. 2 and 3 will be described in detail with reference to FIGS. 4 and 5.

  The control unit 70 of the central monitoring server 7 constantly monitors operation inputs from the operation unit 71. When there is an operation input from the operation unit 71 (step S101 “YES”), the control unit 70 causes the operation information acquisition unit 710 to capture the operation information and output it to the RDBMS 702 and the risk diagnosis unit 705. Here, the unit operation is, for example, chemical injection operation in a series of water treatment operation operation inputs such as “PAC injection”, “sulfuric acid injection”, “caustic injection”, “hypoinjection”, “charcoal injection”, etc. In addition, it shall mean the operation of equipment such as pumps. Here, “PAC injection” will be described as an example.

  When “PAC injection” is selected and operated by the operation unit 71 (step S102 “YES”), the RDBMS 702 searches the operation risk DB 730 using the PAC injection as a search condition (step S103). As for the PAC injection rate, there are cases of injection rate excess, increase, decrease, shortage, etc., and different search results are output to the drawing / display control unit 703 according to each case.

  In the case of increasing the PAC injection rate (step S104 “YES”), the drawing / display control unit 703 generates the influence on the process as display information according to the data stored in the operation risk DB 730 shown in FIG. To draw. Further, the drawing / display control unit 703 reads the display information from the VRAM area in synchronization with the display timing of the display unit 72 and displays it on the display unit 72 (step S105).

  On the other hand, the risk diagnosis unit 705 acquires the measured value data of the plant directly or indirectly from the field devices 3 and 4 via the communication interface unit 704 (step S106 “YES”), and the operation information acquisition unit 701. When the unit operation is taken in from the operation unit 71, a risk derivation process by data mining is started (step S107).

  The actual measurement values obtained via the communication interface unit 704 are the raw water quality such as raw water Tb, raw water pH, raw water chromaticity, raw water alkalinity, raw water temperature, and the like, and the mixing pond operating conditions consisting of the stirring strength GR and the stirring time TR. , The water quality of the treated water infused with chemicals, the floc formation pond operating conditions consisting of the stirring intensity GS and the stirring time TS, the sedimentation basin water quality data including the surface load factor and the sedimentation water quality (Tb, pH), and the filtration pond water quality , Including purified water quality data. In addition, an objective function indicated by weighting the influence on the plant is input by the operation unit 71 via the operation information acquisition unit 701. For the objective function, a value defined in advance as a value unique to the system may be used.

  The risk diagnosis unit 705 performs analysis by data mining from the above-described large amount of multidimensional input data, and the analysis result is compared with, for example, a comparison result between an actual measurement value and a theoretical calculation value, and past data and an actual measurement value. Adapt to the comparison results, determine the direction of risk increase / decrease with reference to the `` risk display matrix '' defined by the relationship between the degree of impact on the plant and the theoretical calculation value of the measured value and the degree of deviation from the past results, The image is output to the drawing / display control unit 703 (step S108).

  In response to this, the drawing / display control unit 703 converts the risk increase / decrease direction into a vector such as an arrow, and displays the VRAM so as to be superimposed on the previously drawn display data regarding the influence of the unit operation on the process. Draw in the area. Then, the drawing / display control unit 703 reads out the superimposed display information in synchronization with the display timing of the display unit 72 and displays it on the display unit 72 (step S109).

  At this time, an example of display information generated by the drawing / display control unit 703 and a screen configuration are shown in FIG. As shown in FIG. 5, an arrow mark is displayed on the path from the block indicating “PAC injection rate increase” to the block indicating “decrease in alkalinity” with an angle of 45 degrees upward. This indicates that, when the alkalinity of the raw water quality is low, increasing the PAC injection rate increases the risk occurrence probability that the alkalinity decreases. In addition, an arrow mark is displayed on the path from the block indicating “PAC injection rate increase” to the “aluminum removal deficient block” at an angle of 45 degrees downward. This indicates that when the PAC injection rate is increased and the precipitation process is not properly performed, the risk occurrence probability of insufficient aluminum removal is reduced.

In the flowchart of FIG. 4, the processing routine A in the case where NO is determined in the “PAC injection selection operation determination process” in step S102 is “PAC injection”, “sulfuric acid injection”, “caustic injection” other than the PAC injection operation. ”,“ Hypoinjection ”,“ charcoal injection ”, etc., when the unit operation is performed, and processing routine B when NO is determined in“ PAC injection rate increase determination processing ”in step S104, This is a processing routine for cases where the PAC injection rate is excessive, increased, decreased, insufficient, etc., and a description of these specific processes is omitted.
(Effect of embodiment)
According to the plant operation monitoring support device according to the above-described embodiment of the present invention, the operator can visually recognize the influence on the plant with respect to the operation to be performed, and the risk increases in the influence by the vector. Or it can be understood at a glance whether it decreases or not, so that it can be used for subsequent driving operations. Therefore, it can contribute to the stable operation of the plant. In addition, since it is possible to monitor the operation of the plant while checking the contents of the screen, even a low-skilled operator can stably operate the plant with a view close to a skilled operator.

  Note that the plant operation monitoring support program of the present invention is systematically related to the influence of unit operations related to plant operation using the on-site equipment on the plant, for example, in FIG. FIG. 4 is a plant operation monitoring support program executed on a computer of a plant operation monitoring support apparatus (for example, the central monitoring server 7) having a database 730 for storing relational models described in a hierarchical structure. In the process of referring to the database with the unit operation as a trigger, the effect of the unit operation on the plant is hierarchically expanded and displayed on the screen (steps S101 to S108), and the actual measured value of the plant from the field device. Processing to be acquired (step S109), and the operation status of the plant from the acquired actual measurement value Analyzing and diagnosing the increase / decrease direction of the risk related to the plant effect by performing the unit operation (steps S110 and S111), and overlaying the increase / decrease direction of the risk with a vector on the content displayed on the screen And a process for displaying together (step S112).

  According to the plant operation monitoring support program of the present invention, since the program is executed on the computer of the plant operation monitoring support device, the influence of the unit operation on the plant and the increase / decrease direction of the risk are displayed on the screen. The operator can see the impact on the plant for the operation to be performed, and the vector can understand at a glance which risk increases or decreases in the impact. It can be used for driving operations. Therefore, it can contribute to the stable operation of the plant. In addition, since it is possible to monitor the operation of the plant while checking the contents of the screen, even a low-skilled operator can stably operate the plant with a view close to a skilled operator.

  As mentioned above, although this invention was demonstrated using embodiment, it cannot be overemphasized that the technical scope of this invention is not limited to the range as described in the said embodiment. Although the case where the present invention is applied to a water purification process has been described in the above embodiment, the present invention can also be applied to a sewage process. It will be apparent to those skilled in the art that various modifications or improvements can be added to the above-described embodiments. Further, it is apparent from the scope of the claims that the embodiments added with such changes or improvements can be included in the technical scope of the present invention.

1, 2 Aquarium equipment 3, 4 On-site equipment 5, 6 DCS
7 Central monitoring server (plant operation monitoring support device)
8, 9 Client 10 Plant operation monitoring support system 70 Control unit 71 Operation unit 72 Display unit 73 Storage unit 700 Main control unit 701 Operation information acquisition unit 702 RDBMS
703 Drawing / display control unit 704 Communication interface unit 705 Risk diagnosis unit 730 Operation risk DB (operation risk storage unit)

Claims (5)

An operation risk storage unit that stores a relational model that systematically describes the influence of unit operations related to plant operation on the plant in a hierarchical structure;
With the unit operation as a trigger, referring to the operation risk storage unit, a drawing / display control unit that hierarchically expands and displays the influence of the unit operation on the plant,
A risk diagnosing unit that acquires an actual measurement value of the plant, analyzes an operation state of the plant from the acquired actual measurement value, and diagnoses an increase / decrease direction of a risk related to an influence on the plant by performing the unit operation; ,
The drawing / display control unit
A plant operation monitoring support apparatus, wherein the contents displayed on the screen are displayed by superimposing and displaying the increase / decrease direction of the risk diagnosed by the risk diagnosis unit as a vector. The operation risk storage unit is
2. The plant operation monitoring support device according to claim 1, wherein the plant operation monitoring support device is a relational database managed by a relational database management system based on the relational model. The plant is
A landing well that takes water from the river and leads it to the water purification plant, a mixing pond that injects flocculant and various chemicals into the raw water and rapidly stirs, a floc formation pond that forms flocs in the treated raw water by slow stirring, A water treatment plant facility comprising a sedimentation basin for sedimenting suspended solids and the floc and a filtration basin for filtering treated water,
The risk diagnosis unit
From the raw water quality, the mixing pond water quality and operating conditions, the floc-forming pond water quality and operating conditions, the sedimentation pond water quality data, and the objective function indicated by the weighting of the influence on the plant, the data mining is indicated by the actual measurement value. The plant operation monitoring support apparatus according to claim 1, wherein a risk relating to an influence on the plant is quantitatively derived by comparing the risk with a threshold value and diagnosing the increase / decrease direction of the risk. A landing well that takes water from the river and leads it to the water purification plant, a mixing pond that injects flocculant and various chemicals into the raw water and rapidly stirs, a floc formation pond that forms flocs in the treated raw water by slow stirring, A plant operation monitoring support system in a water treatment facility comprising a sedimentation basin for sedimenting suspended matter and the floc and a filtration basin for filtering treated water,
Field equipment including sensors provided in each of the water purification treatment facilities,
An operation risk storage unit that stores a relational model systematically described in a hierarchical structure with respect to the influence of unit operations related to plant operation using the field equipment on the plant, and the operation risk is triggered by the unit operations. Referring to the storage unit, the influence of the unit operation on the plant is hierarchically expanded and displayed on the screen, the actual measurement value of the plant is acquired from the field device, and the operation status of the plant is analyzed from the acquired actual measurement value, The blunt operation monitoring device that diagnoses the increase / decrease direction of the risk related to the influence on the plant by performing the unit operation, and overlays and displays the increase / decrease direction of the risk as a vector on the content displayed on the screen,
A plant operation monitoring support system characterized by comprising: A computer of a plant operation monitoring support apparatus having a database in which a plurality of field devices are connected, and which stores a relational model systematically described in a hierarchical structure with respect to the influence of unit operations related to plant operations using the field devices on the plant A plant operation monitoring support program executed above,
With the unit operation as a trigger, referring to the database, the effect of the unit operation on the plant is hierarchically expanded and displayed on the screen,
Processing to obtain the measured value of the plant from the field equipment;
Analyzing the operation status of the plant from the obtained actual measurement value, and diagnosing the increase / decrease direction of the risk regarding the impact on the plant by performing the unit operation;
A process of overlaying and displaying the risk increase / decrease direction with a vector on the content displayed on the screen;
A plant operation monitoring program characterized in that

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