JP2002133026A - Work support system, operation support system and recording medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an operation support system capable of efficiently and quickly performing a data analysis with a small amount of resources. SOLUTION: This operation support system is provided with a database 12 for storing data collected from a facility 2, an operation supporting device 13 having a support tool for supporting the operation of the facility 2 by using a data analysis technology on the basis of the data, a tool developing device 23 for supporting the preparation/change of the support tool and a network 31 for connecting the database 12, the supporting device 13 and the developing device 23. When an operation condition is changed, the support tool is prepared/ changed in accordance with the change of the operation condition by using the developing device 23, and the prepared/changed support tool is sent to the supporting device 13 via the network 31.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an operation support system for supporting the operation of facilities provided in factories and the like, and to a business support system for supporting management operations such as demand forecasting in supermarkets and the like.

[0002]

2. Description of the Related Art Computers are used in equipment at steelworks and chemical plants to operate the equipment. For example, when looking at a blast furnace at a steelworks, various sensors are provided in the blast furnace. After obtaining such data, storing these data in a database, the operation support system indicates the operation state to the operator. The operator
The operation of the blast furnace is performed while observing the operation state displayed on the display means of the computer.

[0003] The operating conditions of equipment such as a blast furnace may be changed depending on the social situation at that time, the status of orders, and the like. For example, there is a case where the operation is changed to an energy-saving operation in accordance with an increased power rate, and a case where the production amount is changed in accordance with the order receiving situation. When the operation conditions are changed, it is necessary to change the support tool of the operation support system in accordance with the change or to newly create a new support tool. When such operating conditions are changed, the conventional operating support system must temporarily stop the system, and in the case of equipment such as a blast furnace, the loss while the equipment is stopped is enormous. There was a problem that would be expensive. In addition, changing the support tool of the operation support system requires advanced data analysis technology, but experts with such advanced data analysis technology are usually used in factories and other places where blast furnaces and other facilities are located. Not placed. Therefore, in many cases, a storage device that stores the data of the blast furnace is brought into a separately installed laboratory or development center with specialists, where the specialists create and modify operation support system support tools. The created and modified support tools are incorporated in the actual system.

[0004]

However, if such a research institute or a development center is separately provided, the operation support system is not developed directly using the equipment actually in operation. There are problems such as lack of data, or the inability to use real-time data that can only be obtained with equipment that is actually operating. Also, conventionally, once the operation support system was created, it was used unchanged for 10 to 20 years.
At present, changes in operating conditions may be required in one to two weeks. However, with the conventional operation support system, it has been almost impossible to change the system in such a short period of time.

[0005] To deal with such a problem, for example,
In the invention of No.-9008, a method is proposed in which an operation system and a test system are provided in parallel as an operation support system, so that the operation can be performed on one side and the test can be performed on the other side at the same time. However, in the case of this method, when a plurality of facilities are provided, such as a steel mill or a chemical plant, and these facilities are geographically separated,
Since two similar operation support systems must be installed for each facility in parallel, and personnel for this system must also be arranged, there is a problem that the cost increases.
This problem is exacerbated, especially in large steel mills and chemical plants, as such measures must be taken for each and every large number of installations.

[0006] Advanced data analysis techniques are sometimes required not only in support of equipment operation, but also in management operations such as demand prediction in supermarkets and the like. However, the number of experts who can use advanced data analysis techniques is limited, and not all companies that perform such management tasks can hire experts. Therefore, realization of a system that supports management tasks such as demand forecasting quickly and efficiently is desired. Furthermore, there is also a request that only an expert who has advanced data analysis technology performs an external data analysis job.

The present invention has been made based on the above circumstances, and has as its object to provide a business support system capable of efficiently and quickly performing data analysis with a small amount of resources.

The present invention has been made based on the above circumstances, and an object of the present invention is to provide a business support system capable of efficiently and quickly performing a management business with a small amount of resources.

The present invention has been made based on the above circumstances, and has as its object to provide an operation support system that can efficiently and promptly respond to a change in operation conditions with a small amount of resources. .

[0010]

A business support system according to the present invention for achieving the above object uses a database for storing data provided by a client and a data analysis technique based on the data. A support means having a support tool for supporting the work of the requester, a development means for supporting creation / change of the support tool, a network connecting the database, the support means, and the development means,
It is characterized by having.

A business support system according to the present invention for achieving the above object provides a database for storing data collected from a management target, and a support tool for supporting management business using data analysis technology based on the data. And a development means for supporting creation / change of a support tool, and a network connecting the database, the support means, and the development means.

An operation support system according to the present invention for achieving the above object provides a database for storing data collected from equipment, and a support for supporting the operation of the equipment using a data analysis technique based on the data. It is characterized by comprising a support means having a tool, a development means for supporting creation / change of the support tool, and a network connecting the database, the support means, and the development means.

[0013]

DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of the present invention will be described below with reference to the drawings. FIG. 1 is a schematic configuration diagram of an operation support system according to an embodiment of the present invention. In the present embodiment, a case will be described in which such an operation support system is applied to the operation of a blast furnace in a steel mill.

The operation support system shown in FIG. 1 includes a plurality of sensors 11, a steelworks database 12, an operation support device (support means) 13, a display device 14, and an operation panel 15.
, The database 21 on the laboratory side, and the tool monitoring device 2
2 (monitoring means) and tool development device (development means) 23
And an abnormality processing device (an abnormality processing unit) 24 and a network 31.

Among the components of the operation support system, a sensor 11, a database 12, an operation support device 13, a display device 14, and an operation panel 15 are provided in a steel mill. The database 21, the tool monitoring device 22, the tool development device 23, and the abnormality processing device 24 are provided in the laboratory. Here, the laboratory is a place where there is a group of experts having advanced data analysis technology knowledge as described later, and the laboratory may be on the same site as the steelworks.

A person who operates the operation panel 15 while viewing the display device 14 in the steel works is called an "operator", and an expert who operates the tool monitoring device 22, the tool development device 23 and the abnormality processing device 24 in the laboratory. Is referred to as a “user”.

The database 12, the operation support device 13, the database 21, the tool monitoring device 22,
The tool development device 23 and the abnormality processing device 24 are connected by a network 31.

The blast furnace 2 has an iron ore (Fe ₂ O)
₄ ), coke, limestone, etc. are charged. And iron is obtained by sending oxygen from the lower part of the blast furnace 2 and burning iron ore.

Each sensor 11 has, for example, temperature, pressure, O
/ C (ratio of iron ore to coke), the amount of blast oxygen, etc. are detected. As the temperature and pressure, those in each part of the blast furnace 2 are detected, and there are generally thousands to tens of thousands of data items to be detected. Data detected by each sensor 11 is stored in a database 12. The database 12 stores data collected from the blast furnace 2. In fact, this database 12 stores data for the past several years.

Although omitted in FIG. 1, the blast furnace 2 has
Many actuators are provided for adjusting the pressure, the amount of blast oxygen, and the amount charged.

The operation support device 13 creates operation guidance using the data stored in the database 12 and the operation support tool, thereby providing the blast furnace 2 to the operator.
It supports the operation of Here, the operation support tool (hereinafter, also simply referred to as “tool”) is a program for supporting the operation of the blast furnace 2 created using the data analysis technology. Specifically, the operation support device 13
Establishes a prediction model, and obtains prediction values such as hot metal temperature and tapping amount based on the prediction model. Then, based on the predicted values, operation data such as O / C, blast oxygen amount, and charging amount are calculated so that the blast furnace can be operated optimally according to a desired scenario. The content of the operation data calculated in this way becomes the operation guidance. Such operation guidance is created, for example, every few hours.

The display device 14 displays the operation guidance obtained by using the operation support tool of the operation support device 13. The operator operates the blast furnace 2 while watching the contents displayed on the display device 14. Operation panel 1
5 is a blast furnace 2 for inputting instructions for each actuator.
Is to operate.

It is also possible for the operation support device 13 to directly issue an instruction to the operation panel 15 to control each actuator without displaying the operation guidance on the display device 14. This is perfect feedback control. Therefore, the blast furnace 2 can be controlled either manually or automatically.

Incidentally, the control contents of the blast furnace 2 change according to the operation purpose (operating condition) at that time. For example, there are cases where it is desired to increase or decrease the amount of tapping, or to save energy. Further, there are cases where the raw material is required to be mainly coke, oil is to be emphasized, or plastic is charged. If such a change in the purpose occurs, if the operation support device 13 creates operation guidance using the same tool as it is and controls the blast furnace 2 according to the operation guidance, a deviation from the actual operation occurs, and May not be controlled. However, the content of the tool is difficult, and it is usually difficult to change the tool by itself because steelworks operators do not have expertise in advanced data analysis technology. For this reason, in the present embodiment, a tool monitoring device 22, a tool development device 23, and an abnormality processing device 24 are used to monitor tools and develop tools by a group of experts (users) having a high level of knowledge on data analysis technology. And give them the task of resolving problems when they occur.

The database 21 at the laboratory stores the same data as the data stored in the database 12 at the steelworks. When new data is stored in the database 12 on the steelworks side, the data is transmitted to the database 21 on the laboratory side via the network 31 in real time.

The tool monitoring device 22 includes a network 31
The operation support device 13 is accessed via the PC and the result obtained by the tool currently used by the operation support device 13 is monitored in real time. Specifically, the user checks the prediction accuracy when the tool is used by using the tool monitoring device 22. For example, when the user determines that the prediction accuracy is gradually deteriorated in the future, the user decides to change the tool. I do. Further, for example, according to the operation guidance created by the tool of the operation support device 13, it is indicated that the O / C is increased. However, according to the operation state of the blast furnace 2, a predetermined operation purpose is realized. If not,
The user determines that the tool is not suitable for the current purpose and decides to change the tool.

The tool development device 23 is for the user to create and change tools, and to upgrade tools. Created with tool development device 23
The changed tool is sent to the operation support device 13 via the network 31 in real time. Operation support device 1
When receiving the tool after the creation / change, the tool 3 replaces the original tool with the tool after the creation / change, and thereafter performs operation support using the tool after the creation / change.

As described above, a tool is a data-driven program created using a data analysis technique or a combination thereof. Also, changing the tool is not merely changing the parameters. Changing tools means changing data analysis technology,
This refers to at least one of changing a combination of data analysis techniques, changing a processing procedure by the data analysis technique, and changing an item of data used to operate a tool. Therefore, only the data analysis technique may be changed without changing the data item, or only the data item may be changed without changing the data analysis technique. In this embodiment, the tool is described as a data-driven program. However, it is needless to say that the tool can be variously changed according to the applied business support device or operation support device.

Here, what kind of advanced data analysis technology is specifically described. FIG. 2 is a diagram showing a specific example of the advanced data analysis technique. Laboratory experts (users) typically have advanced knowledge of data analysis techniques as shown in FIG. The advanced data analysis technology can be broadly divided into statistical analysis,
There are time series models, autoregressive models, control theory, heuristics, DataMining, information theory, chaos, etc.

The statistical analysis includes multivariable analysis, correlation analysis, regression analysis, analysis of variance, probability distribution, Bayesian theory, and the like. The time series model includes moving average, frequency analysis,
Wavelet analysis etc. are included. In the autoregressive model, A
R, ARMA, ARIMA, Box Jenkins method,
Kalman filter, Rwandowski's FORSYS, and the like are included. Control theory includes optimal control theory, H∞, μ synthesis, etc., and heuristics include AI,
Neuro, Fuzzy, GA, etc. are included, DataMining includes
Cluster analysis, decision tree, etc. are included. Information theory includes information entropy, AIC, and the like, and chaos includes fractals, Lyapunov, and the like.

When performing data analysis on a certain phenomenon, an expert looks at a large time-series trend, such as whether chaos should be used because it is a chaotic system, neurons are suitable because of non-linear matching, and so on. The data analysis technique to be applied to the tool is determined by judging from the result that the regression distribution is sufficient. In general, which data analysis technique is used depends on the process, operation purpose, social situation, management policy, and the like. Also, when creating a tool, an expert needs to determine not only a data analysis technique but also an appropriate data item according to the data analysis technique.

In particular, in the present embodiment, a physical model is included in the advanced data analysis technology. The reason is that the physical model is also unfamiliar to the steelworks operator, and it is necessary to utilize the knowledge of a specialist. Also, the processes at steelworks are mostly physical model systems. In fact, the process in the blast furnace 2 follows fluid dynamics, heat transfer engineering, powder engineering and the like. Physical models include structural analysis, heat transfer calculations, electromagnetic field calculations, fluid calculations,
Includes powder engineering. For example, a heat transfer calculation is performed to check a heat balance, and an optimum operation is performed based on the result.

The abnormality processing device 24 is provided when the user receives a request from the steel mill via the network 31 to request an investigation into the cause of the abnormality in the operation of the blast furnace 2 or the like. The purpose is to analyze the cause based on the data stored in. In the abnormality processing device 24, only the cause is analyzed by making full use of data analysis technology, and a tool is not created. The result of the analysis (measures) is sent to the abnormality
Is sent to the client at the steel mill via the network 31. The client will take appropriate action based on the sent countermeasures.

The abnormality processing device 24 detects an abnormality based on a signal from a sensor provided in the blast furnace 2 and, when the abnormality is detected, responds to an abnormal state based on the data stored in the database 21. It may output a countermeasure.

Next, a process in which the operation support device 13 creates operation guidance will be described. FIG. 3 is a diagram for explaining a process in which the operation support device 13 creates operation guidance.

The operation support device 13 receives the current result data, the current situation data, the current operation data, and the past performance data from the database 12, and extracts a predetermined feature amount (S1). Here, when supporting the operation of the blast furnace 2, the result data is, for example, hot metal temperature, tapping amount, silicon concentration, and the like, and the status data is, for example, a furnace bottom temperature, a furnace top pressure, a stave temperature, and the like. is there. The operation data is, for example, the O / C, the amount of blown oxygen, the charged amount, and the like. Use past data if necessary.

Next, the operation support device 13 creates a prediction model using a predetermined tool (S2). Then, the characteristic amount obtained in step S1 is applied to the prediction model created in step S2, and the result data (predicted value) after a predetermined time is obtained (S3). For example, the predicted values include the hot metal temperature after 4 hours, the tapping amount after 4 hours, and the fuel cost from now to 4 hours later. And the operation support device 13
An evaluation function is determined using the predicted value (S4). Here, the evaluation function is determined by weighting each predicted value.

Next, the operation support device 13 considers a predetermined scenario and obtains optimum operation data that maximizes the evaluation function under the conditions represented by the scenario (S5).
Scenarios include, for example, an operation in which the temperature of hot metal increases and an operation in which the tapping amount becomes maximum. Since the purpose of operation varies depending on various situations, usually, a plurality of scenarios are prepared in advance, and optimal operation data is obtained for each scenario. The content of the optimum operation data thus obtained becomes the operation guidance, and the operation according to the optimum operation data becomes the optimum operation method. Then, the operation support device 13 displays the predicted value and the operation guidance for each scenario on the screen of the display device 14 (S6). The operator will refer to such forecasts and operation guidance,
You will have to think about what kind of operation to do.

Next, a specific example of changing the tool in the operation support system of the present embodiment will be described. FIG.
FIGS. 5 and 6 are diagrams for explaining a specific example in a case where a tool is changed in the operation support system according to the present embodiment.

As a first example, let us consider a case where the operation support device 13 uses a tool for estimating hot metal temperature and creating operation guidance. Currently, the tool uses Figure 4
As shown in (a), suppose that a neuro is used as a data analysis technique. The tool monitoring device 22 monitors the result obtained by the tool used in the operation support device 13 via the network 31 in real time. At this time, the user calculates the degree of error with respect to the predicted value of the hot metal temperature obtained using the neuron,
%. Here, the error degree is defined as (predicted value−actual value) × 100 / actual value. The smaller the error degree, the higher the prediction accuracy.

Further, the user is studying, using the tool development device 23, what tool can be used to predict the hot metal temperature with high accuracy. For example, as shown in FIG. 4B, it is assumed that a tool for predicting hot metal temperature has been developed by using a method combining neuro and multiple regression. To compare the new tool with the currently used tool, the user calculates the degree of error in the predicted value of the hot metal temperature when using the new tool. If the degree of error when the new tool is used is, for example, 4%, the new tool has higher accuracy in predicting the hot metal temperature than the currently used tool. In such a case, the user transmits a new tool that combines neuro and multiple regression to the operation support device 13 from the tool development device 23. Upon receiving such a new tool, the operation support device 13 replaces the original tool with the new tool, and thereafter predicts the hot metal temperature using the new tool.

Next, a second example will be described with reference to FIG.
In the second example, it is assumed that the operation support apparatus 13 currently uses a tool that predicts result data by applying neuro, multiple regression, and chaos. This tool is referred to as a _first tool T1. Here, in the first of the tools T _1,
Use 100 data items. The user uses the tool monitoring device 22 to develop a new tool while monitoring the results obtained with the tool used in the operation support device 13. Now, the user applies AR,
It is assumed that a _second tool T2 for calculating a predicted value by calculating an average value and a variance has been developed. This second tool T ₂
In this example, 200 data items are used. Moreover, by taking the average of the results obtained with the results obtained in the first tool T ₁ second tool T _2, and it has developed a third tool T ₃ for calculating a prediction value.

The user can select the first
One tool T₁ From the third tool T _Three Which one of
Verify that the rules are optimal. Then, the user
Tool T based on the verification results₁ The second or third
T_Two , T_Three If it is determined that it is better to change to
From the tool development equipment 23 to the operation support of the changed tool
Transmit to the device 13. The operation support device 13 is provided with the new
When a new tool is received, the original tool is replaced with the new tool.
And then use a new tool to estimate
calculate. This second example is based on data items and data analysis techniques.
This is an example of changing both techniques.

Next, a third example will be described with reference to FIG.
In the third example, the operation support device 13 is currently
As shown in (a), it is assumed that a tool for predicting hot metal temperature by using, for example, a heat balance theory as a physical model is used. By the way, in general, when applying a physical model, some assumptions must be introduced, and the result obtained from the physical model may or may not match the actual operation. For this reason, in order to further increase the prediction accuracy of the hot metal temperature, for example, FIG.
As shown in (b), it is assumed that a new tool has been developed that corrects the result calculated by applying the physical model using the result obtained by applying neuro. Then, when it is confirmed that the prediction accuracy is further improved by using the new tool, the user transmits the new tool from the tool development device 23 to the operation support device 13.
Send to Upon receiving such a new tool, the operation support device 13 replaces the original tool with the new tool, and thereafter predicts the hot metal temperature using the new tool.

In the operation support system of the present embodiment, the database, the operation support device, and the tool development device are connected via a network, and an expert creates and changes tools using the database and the tool development device. The tool created and changed can be sent to the operation support apparatus via the blast furnace, so that it is possible to quickly respond to a change in operation conditions without stopping the blast furnace for a long period of time. Note that the present invention is not limited to the above embodiment, and various modifications can be made within the scope of the gist.

For example, in the above embodiment, a case is described in which a tool monitoring device, a tool development device, and an abnormality processing device installed in a research laboratory are connected to an operation support device installed in one steelworks via a network. As described above, a tool monitoring device, a tool development device, and an abnormality processing device installed in a research laboratory may be connected to operation support devices installed in a plurality of steelworks via a network. With this, it is possible to use a common tool development device etc. for multiple facilities just by providing one laboratory,
There is a merit that resources can be used efficiently.

In the above embodiment, the case where the operation support device is installed in a steel mill has been described.
The operation support device can be arranged in a research laboratory, or an operation support center can be provided, and the operation support device can be arranged there.

Now, a detailed description will be given of a case where the operation support device is arranged in a laboratory. FIG. 7 is a schematic configuration diagram of an operation support system according to a modification of the present invention. The operation support system shown in FIG. 7 includes a plurality of sensors 11, a steelworks database 12, a display device 14, an operation panel 15, a laboratory database 21, a tool development device 23, and an abnormality processing device. 24, operation support device 25, and network 31
And The components having the same functions as those of the above embodiment are denoted by the same reference numerals, and the detailed description thereof will be omitted.

Among the components of the operation support system, the sensor 11, the database 12, the display device 14, and the operation panel 15 are provided in the steel mill, and the database 21, the tool development device 23, the abnormality processing device 24, and the operation support device 2
5 is provided in the laboratory. Further, the database 12, the display device 14, the database 21, the tool development device 23, the abnormality processing device 24, and the operation support device 2
5 is connected by a network 31.

Data is transmitted in real time from the database 12 at the steelworks to the database 21 at the laboratory. The operation support device 25 is a database 21 of the research institute.
, The operation guidance is created using a predetermined tool, and the operation of the blast furnace 2 is supported. After creating the operation guidance or the like, the operation support device 25 sends the operation guidance or the like to the display device 14 via the network 31. Then, the operator of the steelworks operates the blast furnace 2 while watching the operation guidance and the like displayed on the display device 14. This operation support system has the same effects as those of the above embodiment.

In the above embodiment, the case where the databases are provided in both the steelworks and the research laboratories has been described. However, for example, the databases are arranged only in one of the steelworks and the research laboratories. You may make it. However, it is necessary to connect the database and the operation support device via a network so that the operation support device can directly access the database. Further, a database center may be provided, and a database may be arranged therein.

Further, in the above embodiment, the case where the operation support system of the present invention is applied to control of a blast furnace in a steel mill has been described.
It can also be applied to process control such as rolling mill control. The rolling mill control is control when, for example, a sheet material having a thickness of 20 mm is gradually thinned and finally rolled into a sheet material having a thickness of 1.2 mm. When the operation support system of the present invention is applied to such a rolling mill control, optimal rolling mill motor control data is obtained based on data obtained from a sensor or the like for detecting a sheet thickness, and driving of the rolling mill motor is controlled in real time. Therefore, the accuracy of the rolling process can be improved.

The operation support system of the present invention described in the above embodiment can also be used for quality control of continuous casting, technical support for equipment diagnosis, operation control of a generator, and the like. Further, the present invention can be applied as a business support system for supporting the business of a client or for supporting a management business such as a demand forecast in a supermarket.

A specific example of technical support for equipment diagnosis is to determine when a structure such as a motor is broken. Conventionally, in order to check an abnormality of a structure, a vibrometer is attached to each part of the structure, and the life of the structure is diagnosed based on a detection result of the vibrometer. However, in practice, the life of the structure cannot be accurately diagnosed without using advanced data analysis techniques. For this reason, by applying the business support system of the present invention, technical support for equipment diagnosis can be provided by making full use of advanced data analysis technology.

Further, as a specific example of the operation control of the generator, a power company predicts the power demand and determines which generator among a plurality of generators to use and how much power to supply. To decide. In this case, the present invention can be applied.

As a specific example of demand prediction, there is a case where a major supermarket predicts demand and decides to purchase commodities. In this case, conventionally, demand prediction has been performed using a predetermined tool based on a large number of data such as past data and data on regional characteristics. However, in order to perform demand forecasting with high accuracy, it is necessary to change tools in real time according to various factors such as changes in the situation. For this reason, by applying the business support system of the present invention, demand forecasting can be performed in real time and with high accuracy by utilizing advanced data analysis technology.

The present invention can also be realized by causing a computer to perform the above-described operations. In other words, the computer is an operation support device, a tool monitoring device,
A computer program written to operate as a tool development device or an abnormality processing device is recorded on a recording medium such as a CD-ROM, a floppy (registered trademark) disk, a DVD, or a semiconductor memory, and the computer reads the recording medium. Alternatively, by causing the computer to read the computer program via a communication line, the computer can be operated as each of the above devices.

[0058]

As described above, according to the business support system of the present invention, the database, the support means, and the development means are connected via a network, and the expert creates a support tool using the database and the development means.・ Make changes,
Since the support tool created or changed via the network or the result obtained by using the support tool can be sent to the client side, the analysis work can be quickly supported,
In addition, since a common development means can be used for a plurality of clients, resources can be used efficiently.

Further, according to the business support system of the present invention, the database, the support means, and the development means are connected via the network, and the expert creates and changes the support tool using the database and the development means. Support tools created / changed via the network can be sent to the management target, so management tasks can be performed quickly,
In addition, since a common development means can be used for a plurality of management targets, resources can be efficiently used.

According to the operation support system of the present invention, the database, the support means, and the development means are connected via the network, and the expert creates and changes the support tool using the database and the development means. Since the support tools created and changed over the network can be sent to the equipment side, it is possible to quickly respond to changes in operating conditions without stopping the equipment for a long period of time, and in addition to multiple equipment , A common development means can be used, so that resources can be efficiently used.

[Brief description of the drawings]

FIG. 1 is a schematic configuration diagram of an operation support system according to an embodiment of the present invention.

FIG. 2 is a diagram showing a specific example of an advanced data analysis technique.

FIG. 3 is a diagram for explaining a process in which the operation support device creates operation guidance.

FIG. 4 is a diagram for explaining a specific example in a case where a tool is changed in the operation support system of the present embodiment.

FIG. 5 is a diagram for explaining a specific example in a case where a tool is changed in the operation support system of the present embodiment.

FIG. 6 is a diagram for explaining a specific example when changing tools in the operation support system of the present embodiment.

FIG. 7 is a schematic configuration diagram of an operation support system according to a modification of the present invention.

[Explanation of symbols]

 2 Blast furnace 11 Sensor 12 Database 13, 25 Operation support device 14 Display device 15 Operation panel 21 Database 22 Tool monitoring device 23 Tool development device 24 Abnormal processing device 31 Network

Claims (17)

[Claims] 1. A database for storing data provided by a client, a support means having a support tool for supporting a client's business using data analysis technology based on the data, A business support system comprising: development means for supporting a change; and a network connecting the database, the support means, and the development means. 2. The business support system according to claim 1, wherein a result obtained by a support tool of said support means is sent to a client. 3. The business support according to claim 1, wherein the support means is arranged on a client side, and the support tool created and changed by the development means is sent to the support means via the network. system. 4. A database for storing data collected from a management target, a support means having a support tool for supporting management work using data analysis technology based on the data, and support for creation / change of the support tool. A business support system comprising: a development unit; and a network connecting the database, the support unit, and the development unit. 5. A database for storing data collected from equipment, support means having a support tool for supporting the operation of the equipment using data analysis technology based on the data, and support for creation / change of the support tool. An operation support system, comprising: a development unit that performs the operation; and a network that connects the database, the support unit, and the development unit. 6. When there is a change in operating conditions, the development tool is used to create and change a support tool in accordance with the change in operating conditions, and the created support tool is changed to the network. The operation support system according to claim 5, wherein the operation support system sends the operation support system to the support means. 7. The data processing device according to claim 1, wherein the development means changes the data analysis technology, changes a combination of the data analysis technologies, changes a processing procedure by the data analysis technology, and changes data to be used. 7. The operation support system according to claim 5, wherein at least one of the items is changed. 8. The operation support system according to claim 5, wherein the data analysis technique includes a physical model that performs a calculation based on the data. 9. The operation support system according to claim 5, further comprising monitoring means for monitoring a result obtained by the support tool of the support means and displaying the result on a display means. 10. An apparatus according to claim 5, further comprising abnormality processing means for detecting an abnormality of said equipment based on said data, and outputting a countermeasure when the abnormality is detected. Or the operation support system according to 9. 11. The operation support according to claim 5, wherein the support means displays a result obtained by the support tool provided on the display means on a display means. system. 12. The apparatus according to claim 5, wherein said support means automatically controls said equipment based on a result obtained by a support tool provided in said support means.
The operation support system according to 8, 9, or 10. 13. The operation support system according to claim 5, wherein the database is arranged on the side of the facility or on the side of the development means. 14. The apparatus according to claim 5, wherein said support means is arranged on said equipment side or on said development means side.
The operation support system according to 6, 7, 8, 9, 10, 11, 12, or 13. 15. The data according to claim 5, wherein the data includes current operation data, current status data, current result data, and past performance data thereof. 10, 11, 12, 13 or 14
Operation support system as described. 16. A computer-readable recording medium on which is recorded a program that causes a computer system to correspond to the business support system according to any one of claims 1 to 4. 17. A computer-readable recording medium on which is recorded a program for causing a computer system to be a system corresponding to the operation support system according to any one of claims 5 to 14.