JP2003345870A - Predictive maintenance system for cogeneration facility - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To improve customer service by enriching a predictive maintenance system for cogeneration facilities. <P>SOLUTION: The predictive maintenance system for cogeneration facilities, which gathers data associated with cogeneration facilities through a network to monitor the facilities is characterized by being equipped with an arbitrary diagnostic form output part which outputs the data and combines a comment in character text form associated with the data to output the result as an arbitrary diagnostic form. <P>COPYRIGHT: (C)2004,JPO

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a system for remotely monitoring the operation status of a cogeneration facility via a communication network, and more particularly to a predictive maintenance system for a cogeneration facility which supports a predictive maintenance operation of the cogeneration facility. Things.

[0002]

2. Description of the Related Art In general, a cogeneration facility monitoring system monitors the operation status of a plurality of cogeneration facilities from a remote monitoring center. I try to take. In addition, when monitoring contents of one monitoring center are to be monitored at a plurality of places, a plurality of sub monitoring centers are installed.

In such a cogeneration facility monitoring system, a monitoring center may monitor a plurality of cogeneration facilities at one place, and the monitoring contents are relied only on telephone calls to related departments. Therefore, there is a problem that it takes time for detailed information to reach a person in charge of the equipment.
3826 “Cogeneration equipment monitoring system”
(Japanese Patent Application Laid-Open No. 2001-273027).

The invention of the above application is briefly shown in FIG. According to the invention shown in this figure, various data concerning the cogeneration facilities A, B, and C on the customer 1 side are collected in the data server 2a by the modem 2m on the monitoring center 2 side via a network N such as a public line. In the client computer 2b, data from the data server 2a is displayed on a browser display unit in real time.

With such a configuration, the monitoring center 2 connected to the network N can monitor the cogeneration facilities A, B, and C of the customer 1 anytime and anywhere, and set alarm monitoring conditions and the like. can do.

FIG. 10 shows the functions of the monitoring center 2 shown in FIG. 10 for the purpose of detecting failures of the cogeneration facilities A, B, and C and recovering them early, predicting failures and performing preventive maintenance, and managing operations. Data relating to the customer cogeneration facilities A, B, and C in the database DB is transmitted to the monitoring service means MS, and the fixed form report R is output from the fixed form creation means MS1 and the abnormal processing report etc. creation means MS2. Service. This is mainly to support maintenance work performed by cogeneration equipment suppliers,
The aim is to improve the reliability of equipment by increasing efficiency.

[0007]

With the development of such an information infrastructure, a cogeneration facility monitoring system utilizing the Internet or the like is being prepared. However, with the increase in the number of cogeneration facilities to be monitored,
The qualitative and quantitative load of operation management of cogeneration facilities also tends to increase. It is also necessary to save labor while providing higher value-added services to customers.

[0008] For this reason, fixed forms such as a daily report and a monthly report can be output in a ready-made form. However, data and know-how accumulated based on experience and facts up to now can be used. There was no predictive maintenance system that could be fully utilized, and it lacked high added value and convenience.

An object of the present invention is to solve the above-mentioned problems, and an object of the present invention is to improve the above-mentioned customer service by enhancing a predictive maintenance system for cogeneration equipment.

[0010]

The present invention to achieve the above object is as follows. (1) In a predictive maintenance system for a cogeneration facility that collects and monitors data related to the cogeneration facility via a network, arbitrary diagnosis is performed by outputting the data and combining a comment in a text format related to the data. A predictive maintenance system for a cogeneration facility, comprising: an optional diagnosis form output unit that outputs a form. (2) The optional diagnostic form output unit includes:
The predictive maintenance system for a cogeneration facility according to (1), wherein data relating to the cogeneration facility and data already stored in a database are handled. (3) The predictive maintenance system for cogeneration equipment according to (2), wherein the arbitrary diagnosis form output unit performs a statistical process on the data. (4) The predictive maintenance system for cogeneration equipment according to (1), (2) or (3), wherein the arbitrary diagnosis form output unit outputs the data as a graph. (5) The predictive maintenance system for cogeneration equipment according to (4), wherein the arbitrary diagnosis form output unit previews and changes the setting of the graph. (6) The predictive maintenance system for cogeneration equipment according to (4) or (5), wherein the arbitrary diagnosis form output unit manages the graph as a group tag. (7) The predictive maintenance system for cogeneration equipment according to (4), (5) or (6), wherein the arbitrary diagnosis form output unit uses an approximate curve as the graph. (8) The optional diagnosis form output unit, as the graph,
The predictive maintenance system for a cogeneration facility according to (4), (5) or (6), wherein the data and the ideal facility state of the cogeneration facility are combined as an ideal curve and output as a graph. (9) The optional diagnosis form output unit includes an input unit for inputting a comment in a text format related to the graph on a preview screen to which the graph is pasted (4), (5), (6) The system for predictive maintenance of cogeneration equipment according to (7) or (8). (10) The arbitrary diagnosis form output unit distributes the arbitrary diagnosis form to the network (1), (2), (3), (4), (5), (6),
(7) The predictive maintenance system for cogeneration equipment according to (8) or (9).

[0011]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of a predictive maintenance system for a cogeneration facility according to the present invention will be described below with reference to the drawings.

FIG. 1 is a diagram showing the overall configuration of the system of the present invention. In this figure, various data from the cogeneration facilities A, B, and C on the customer side are stored on the ISDN line,
The information is transmitted to the monitoring center 20 via a dial-up router, a firewall, or the like.

The transmitted data is collected by the data servers 2a1 and 2a2 in the monitoring center 20,
The data is processed by the application server AP and the operator station OPS.

On the other hand, data processed by the monitoring center 20 is transmitted to the other district business headquarters 30 via a router, an in-house LAN, or the like, and is sent to the monitoring center at the data servers 3a1 and 3a2 in the other district business headquarters 30. Data processing similar to that performed at 20 is performed.

Here, the system of the present invention is mainly executed by a client 21 connected to the monitoring center 20, a client 31 in the other regional business headquarters 30,
In the clients 32 and 33 connected to the in-house LAN. These clients 21, 31, 3
Reference numerals 2 and 33 have a browser function, a display function, a printer function, and the like.

The data servers 2a1 and 2a2 in the monitoring center 20 and the data servers 3a1 and 3a2 in the other district business headquarters 30 also hold unique data concerning the cogeneration facilities A, B and C on the customer side. Then, data access from the clients 21, 31, 32, and 33 is accepted.

Thus, the clients 21, 31, 3
The operator can monitor the data of the customer cogeneration facilities A, B, and C, create various documents using the obtained various data on the intranet 2, 3, and 33 on the company intranet. , Or share information.

FIG. 2 is a functional block diagram of the system of the present invention. In this figure, the system of the present invention includes, as a whole system, a process database having facility-specific data, stored data reading means for reading data in the process database, a graph setting means for converting data into a graph, Display means for displaying the obtained graph, graph output means for outputting the graph to a printer or a display, etc., CSV file output means, calculation tag creation means, diagnosis form creation means, customer automatic setting management means, automatic customer setting management means Automatic printing means, daily and monthly report setting and printing means, and equipment operation and monthly report setting and printing means.

Next, the operation of the system of the present invention having the above means will be described with reference to the flowchart of FIG.

Step ST1 is a step of selecting a specific cogeneration facility by selecting a business unit or a customer. Other than the person in charge, the password is protected so that they cannot be accessed. When a business unit is selected, a list of customers (cogeneration equipment list) registered in that business unit can be viewed. Proceed to operation. Enter search conditions and select only customers (specific cogeneration equipment) that match the conditions.

Step ST2 is a display step of a menu screen for performing a work, in which a graph to be output is selected (step ST3), or the screen is further developed to a regular form creation screen. In addition, settings are made so that the status regarding the creation of an arbitrary form (the previous creation date, the next scheduled date, etc.) can be confirmed.

In step ST3, the type of graph to be outputted (trend graph, scatter diagram, etc.), the type of data (minute,
(Time, serious failure, etc.), and then proceeds to the next step ST4. In addition, it is expanded to a graph setting step ST9 described later.

In step ST4, a group tag list of the selected graph is displayed, and a graph group to be displayed is selected from the list. The registration of the graph group is set so that 32 graph groups and data types can be registered.

Step ST5 is a step of setting and displaying a period for displaying a graph. The display period is the next 3
Determined by factors. (1) Display reference date (2) Display period (3) Relative designation period (Specify how long it goes back from the display reference date) These settings are possible for each registered tag. You can also set the graph to be overlaid on top. In addition, a function for clicking on an event name to be displayed from the list and selecting it for the serious failure data is provided.

Step ST6 is a step of displaying the trend and the scatter diagram of the selected graph group.
It is also provided with a function on the screen where various operations can be performed so as to change graph settings, preview the graph settings, and provide information suitable for presentation to a customer (equipment). Examples include the following functions:

For example, as graph display functions, alarm management value display (upper / lower limit value data is displayed as an alarm boundary value), data filtering (designation of display range and exclusion of missing value data, etc.), partial enlargement / reduction display (optional) It has functions such as stepless enlargement / reduction display of position, statistical processing (calculation of statistical values such as average, dispersion, and standard deviation of trend display values).
It is assumed that data related to these settings is stored in a process database or the like in advance.

In the case of a scatter diagram display, point time series display (display points: 12 shades of color are added according to old to new), logarithmic display (single logarithmic, logarithmic graph axis can be changed) , Approximation value display (Polynomial approximation, exponential / logarithmic approximation is possible and approximate curve is drawn on graph), area display (designate normal area range on graph and draw), ideal curve display (ideal of equipment) (Draw the characteristic curve on the screen).

By combining the functions described above, it is possible to visually confirm data abnormalities and accurately grasp the time-series tendency of the cogeneration equipment.

Step ST7 is a step of expanding the graph being output to an arbitrary diagnostic report creation image screen in order to paste the graph on the diagnostic report to be output. This is also a step of creating, pasting, and outputting a form (arbitrary diagnosis form) in character text format and image format while watching the preview screen.

Step ST8 is a step of developing from step ST1, displaying a list of settings for automatically printing an arbitrary form or a periodic form for each customer, that is, for each cogeneration facility, and developing the settings on each setting screen.

On this setting screen, automatic graph printing, equipment operation daily report / monthly report, power plant daily / monthly report, contents of equipment diagnosis report (arbitrary / periodic), and automatic print schedule (having a calendar function) are set. The output result is left as a log so that the past output result can be referred to.

Step ST9 is a step for operating and setting the functions described in step ST6 on the screen. The change of the setting is immediately reflected on the graph display, but there is also a function of saving the setting. By setting the setting as a default, the setting may be read and displayed from the next time.

Step ST10 is a step for changing the setting of the arbitrary diagnosis form creation image screen. When the graph insertion position is specified, it is stored in the setting file. Subsequently, an arbitrary form template in the text format is opened, and the text text is arbitrarily edited.

According to the above-described flow, an arbitrary diagnosis form can be created arbitrarily or periodically to which a diagnosis comment and a diagnosis evaluation in character text and a graph as quantitative data supporting the evaluation are pasted. An atypical form using a template that can be set uniquely for each customer and each cogeneration facility can be generated.

The types of such atypical forms include an operation daily report / monthly report for each facility, a daily / monthly report for each power plant (for each customer), an energy management report (a semi-annual report, a daily report, a monthly report based on remote monitoring data, Power consumption), equipment diagnosis form (report with graph attached by template), serious failure document, and the like.

Next, an example of an arbitrary form according to the system of the present invention is shown in FIGS. FIG. 4 is an example of a format corresponding to the cover of the diagnosis form.

FIG. 5 is an example of a diagnosis form table of contents in which a diagnosis general comment following a title is arbitrarily written in text and an item (group name), a judgment, a management value, a measurement value, a finding, etc. are input.

FIG. 6 corresponds to the table of contents of the diagnosis form shown in FIG. 5, and includes a graph group, a trend of the graph group, and a graph area into which a graph such as a scatter diagram is inserted.
It is an example of a main part of a diagnostic report, in which an arbitrary input comment in character text is inserted into the tendency indicated by these graphs.

By creating, outputting, viewing, and reading the above-mentioned diagnostic form, the daily work load of the technical staff and the sales staff can be reduced, the accumulated data can be effectively used, and the visualization by the multifunctional graph can be performed. Improve customer services such as predictive maintenance,
It is possible to obtain effects such as providing high value-added services by sharing know-how and speeding up emergency response (severe failure document).

FIG. 7 is an example of a result using a multi-function graph used for a diagnosis form. 7 is an example of a graph to be inserted into the graph area shown in FIG. This figure shows, for example, a trend with a legend of (time)-(generated power, received power, intake air temperature, No. 1 burner fuel flow rate, No. 1 turbine fuel flow rate, No. 1 boiler drum water level) of the cogeneration facility. This is displayed as a graph.

FIG. 8 is an example of a result obtained by using another multifunction graph used for a diagnosis form. In this figure, (intake air temperature)-(power generation) of the cogeneration facility is displayed as a scatter diagram. By displaying the ideal curve of the equipment, the data, and the approximate curve in a superimposed manner, the deviation from the ideal equipment state can be visually grasped.

Further, the client 21 shown in FIG.
The system of the present invention is operated on 31, 32, and 33 to create a diagnosis form, and the security form is disclosed and distributed to an intranet, the Internet, or the like in consideration of security. As a result, the diagnosis forms of the cogeneration facilities A, B, and C can be referred to from any client.
In particular, information sharing can be realized for both users and manufacturers.

As described above, according to the present invention, an arbitrary diagnosis form, in which a graph as quantitative data supporting the diagnostic comment and the diagnostic evaluation and the quantitative data supporting the diagnostic comment and evaluation are pasted, is arbitrarily or periodically stored. Realize high added value by making full use of data and know-how accumulated based on past experience and facts, as well as fixed-format forms such as daily reports and monthly reports , Convenience can be realized, the predictive maintenance system for cogeneration equipment can be enhanced, and customer service can be improved.

In order to operate the system under a system for centrally monitoring remote equipment, it is possible to have definition information for each person in charge and for each customer, and to construct a system capable of sharing such information. Can be realized.

That is, reduction of the daily work load of technical staff and sales staff, effective use of accumulated data, improvement of customer services such as predictive maintenance by visualization with multifunctional graphs, and provision of high value-added services by sharing know-how In addition, it is possible to obtain an effect such as quick response to an emergency (a serious failure document).

Further, by publishing the diagnosis form on the company intranet, the Internet, or the like, the diagnosis form of the cogeneration facility can be referred to from any client. Information sharing can be realized.

[Brief description of the drawings]

FIG. 1 is a diagram showing an overall overview of a predictive maintenance system for a cogeneration facility according to the present invention.

FIG. 2 is a functional block diagram of the system of the present invention.

FIG. 3 is a flowchart of an operation according to the system of the present invention.

FIG. 4 is an example of a cover part of a diagnosis form by the system of the present invention.

FIG. 5 is an example of a table of contents of a diagnostic form according to the system of the present invention.

FIG. 6 is an example of a report of a diagnosis form by the system of the present invention.

FIG. 7 is a diagram showing a graph of a diagnosis form by the system of the present invention.

FIG. 8 is a diagram showing a graph of a diagnosis form by the system of the present invention.

FIG. 9 is a diagram illustrating a conventional cogeneration facility monitoring system.

FIG. 10 is a diagram showing a monitoring service function of a conventional cogeneration facility monitoring system.

[Explanation of symbols]

1 Customer A, B, C Cogeneration equipment 2 Monitoring center 2a, 2a1, 2a2, 3a1, 3a2 Data server 2b, 21, 31, 32, 33 Client 2m Modem 30 Regional business headquarter N Network L In-house LAN DB Database MS Monitoring service Function MS1 Fixed form creation function MS2 Error processing report creation function R report

   ────────────────────────────────────────────────── ─── Continuation of front page    (72) Inventor Kazuto Tokuda             4-1-2 Hirano-cho, Chuo-ku, Osaka-shi, Osaka               Osaka Gas Co., Ltd. (72) Inventor Mikiya Ishii             4-1-2 Hirano-cho, Chuo-ku, Osaka-shi, Osaka               Osaka Gas Co., Ltd. (72) Inventor Kenji Matsunaga             4-1-2 Hirano-cho, Chuo-ku, Osaka-shi, Osaka               Osaka Gas Co., Ltd. F term (reference) 5H223 AA19 BB08 DD07 EE06 EE13                       EE29 FF03

Claims (10)

[Claims] 1. A predictive maintenance system for a cogeneration facility that collects and monitors data related to the cogeneration facility via a network, and outputs the data and combines a comment in a text format associated with the data. A predictive maintenance system for a cogeneration facility, comprising an optional diagnostic form output unit for outputting an optional diagnostic form. 2. The cogeneration system according to claim 1, wherein the arbitrary diagnosis form output unit handles, as the data, data relating to the cogeneration facility and data already stored in a database. Equipment predictive maintenance system. 3. The predictive maintenance system for a cogeneration facility according to claim 2, wherein the optional diagnosis form output unit performs a statistical process on the data. 4. The predictive maintenance system for a cogeneration facility according to claim 1, wherein the arbitrary diagnosis form output unit outputs the data as a graph. 5. The predictive maintenance system for cogeneration equipment according to claim 4, wherein the arbitrary diagnosis form output unit previews and changes the setting of the graph. 6. The predictive maintenance system for cogeneration equipment according to claim 4, wherein the optional diagnosis form output unit manages the graph as a group tag. 7. The predictive maintenance system for a cogeneration facility according to claim 4, wherein the arbitrary diagnosis form output unit uses an approximate curve as the graph. 8. The system according to claim 4, wherein the arbitrary diagnosis form output unit outputs the graph as the graph together with the data and an ideal equipment state of the cogeneration equipment as an ideal curve. The predictive maintenance system for a cogeneration facility according to claim 5 or 6. 9. The system according to claim 4, wherein the arbitrary diagnosis form output unit includes an input unit for inputting a comment in a text format associated with the graph on a preview screen to which the graph is pasted. A predictive maintenance system for a cogeneration facility according to claim 5, claim 6, claim 7, or claim 8. 10. An arbitrary diagnosis form output unit for distributing the arbitrary diagnosis form to the network. 6. The predictive maintenance system for a cogeneration facility according to claim 7, claim 7, 8 or 9.