JPH0452220A - Device for deciding whether production of iron and steel products is possible or not - Google Patents

Abstract

PURPOSE:To automatically decide whether the production of the products of the product specifications is possible or not by previously registering the rule groups relating to the decision of whether the production of the iron and steel products is possible or not on a rule base means and processing the information of the product specifications to be decided in accordance with the rules. CONSTITUTION:An input means for inputting the information on the specifications of the iron and steel products to be produced; a data base means in which the past records are stored; the rule base means which holds the information retrieval rules and decision rules concerning the information on the above-mentioned data base means; and a deciding means for deciding whether the production is possible or not by utilizing the actual information on the above-mentioned data base means in accordance with the product specifications inputted by the above-mentioned input means and the rules on the above- mentioned rule base means are provided, by which whether the production is possible or not is automatically decided even for the conditions on the particulars of the orders for which the actual coinciding records do not exist in the past.

Description

DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to determining whether or not steel products can be manufactured based on product specifications when receiving an order.

[Prior Art] Steel products have been the most widely used material for a long time, and depending on the type of use, various product specifications are requested by users to manufacturers in the form of order details. Ru.

The order details include, for example, tensile strength conditions, impact guarantee conditions, and test piece collection locations.

The test piece sampling direction 9, etc. are specified.

Therefore, the manufacturer of steel products determines whether R1 manufacturing is possible or not for the order details of each product. In other words, it is determined whether the product is unconditionally manufacturable, manufacturable with two conditions, it cannot be determined until a certainty test is performed, or manufacturability is impossible, and a reply is sent to the orderer. Although this type of determination is extremely difficult, it is extremely important for manufacturers to provide reliable customer service in a short period of time.

Systems that support this type of determination have existed and are actually in use. That is, this system is a combination of a database related to past manufacturing feasibility studies and a device that searches for data that matches the contents of the order details. If the order specification conditions completely match the searched past performance, it is used as a reference performance to determine whether manufacturing is possible. Therefore, if the order specification conditions are in accordance with the standards, there is a high probability that matching past data exists, and the system search results play a major role in determining whether or not the product can be manufactured.

[Problem to be solved by the invention] However, if the order details conditions requested by the user to the manufacturer include conditions other than those defined in the standard, they may not be completely consistent with past manufacturing feasibility review results. Matches are extremely rare, and in such cases, conventional search systems are of no use other than allowing experts to find examples of similar order details. will rely on the estimation of

Furthermore, when making a judgment based on human estimation, it takes a long time to make the judgment, and if the expert's skill level is low, the range of answers that can be answered is limited, which increases the frequency at which accuracy tests are required for judgment. Confirmation tests are conducted.

This leads to increased product costs.

Therefore, it is an object of the present invention to provide a system that can automatically determine whether or not a product can be manufactured even for order specification conditions that have not been matched in the past.

[Means for Solving Problem A] In order to solve Problem A, the present invention includes: an input means for inputting information regarding the specifications of the target steel product; a database means in which past results are accumulated; and the database means. a rule base means that holds information search rules and judgment rules regarding the above information; and based on the product specifications inputted by the input means and the rules on the rule base means, using the performance information on the database means. A determining means for determining whether manufacturing is possible is provided.

[In other words, in the present invention, a group of rules corresponding to human (expert) knowledge regarding determination of whether or not a steel product can be manufactured is registered in advance on the rule base means, and information on product specifications to be determined is inputted. Then, it is processed according to the rules registered on the rule base means, and using the performance data accumulated on the database means, it is automatically determined whether or not a product with the specifications can be manufactured.

Therefore, unless there are no rules necessary for judgment,
Determination results can be reliably output.

Moreover, since the determination rules are predetermined, variations such as individual differences among humans do not occur. In addition, the determination results can be output in a short time.

In a preferred embodiment of the present invention, when a plurality of pieces of performance information satisfying a part of the input product specifications are detected, the determining means selects an optimal one according to a predetermined rule.
The present invention is configured to select one piece of track record information and determine whether or not it can be manufactured based on the selected piece of track record information.

According to this configuration, the manufacturing feasibility determination is made based on the one past performance that is closest to the determination condition of the target product specification, so that the frequency of errors in determination can be further reduced.

Other objects and features of the present invention will become apparent from the following description of embodiments with reference to the drawings.

[Example] FIG. 1 shows the configuration of a manufacturing feasibility determination device according to an example. Referring to FIG. 1, an input device 1 including a keyboard and a CR
Output devices 2, 3 including a T-display and a printer are connected to the expert system ES. The expert system ES is composed of hardware including a computer for processing pigs and a storage device, and various software stored on the storage device. The software part is
Database】0. Inference engine 20 and knowledge base 3
Consists of 0.

The details will be described later, but the database IO is a collection of a large amount of track record information related to steel product manufacturing cases and manufacturing feasibility study cases, and the knowledge base 30 is a collection of rules required for actual manufacturing feasibility determination. The inference engine 20, in which information is registered, is a program that searches and judges information on the database 10 according to rules written on the knowledge base 30, and derives judgment results.

In other words, when a user inputs order details conditions regarding steel products from the input device 1, the expert system AES starts the operation of the inference engine 20, repeats judgments of various rules and searches of performance data, and obtains the final judgment result. is output to the output devices 2 and 3. FIG. 2 shows an outline of the processing of the expert system ES. The contents of each processing step in FIG. 2 will be explained below.

In step S1, when information on required specifications for steel products is input as order details conditions from the input device 1, the process advances to the next step S2. Here, the database 10 is searched for manufacturing cases and manufacturing feasibility study cases that satisfy part of the conditions. One item of data on the database 10 is shown in Table 1 below.

On the database 10, as shown in Table 1, various items of information are registered for each manufacturing case or manufacturing feasibility study case. Note that manufacturing cases are related to products that have actually been manufactured, and manufacturing feasibility study cases are related to products that have actually been manufactured.
It has been confirmed through testing and analysis that it can be manufactured, and it can be treated as 100% manufacturable and past results. On the database 10, there are many cases (manufacturing cases and manufacturing feasibility study cases 2 and below)
is registered.

When searching for data in step S2, various search condition rules existing on the knowledge base 30 are referred to to extract data that satisfy a predetermined condition. Next, typical examples of search condition rules are shown for each item. In the following explanation, "required specifications" refers to specifications developed by developing order details conditions based on database items. Also, requirements specifications that do not have a value are not considered during the search.

(1) Size and shape items: The case to be searched must be the same as the product name in the required specifications.

The case to be searched must be the same as the series of requirements specifications.

The case to be searched must be thicker than the required specification flange thickness.

(2) Tensile test item: If the required specification has two tensile test directions, the case to be searched must be in the Z direction.

In the example to be searched, the tensile test sampling part of the required specification is Web 1.
In the case of 73 parts, it must be part of the corner, 1/4 part of the flange, or 1/6 part of the flange.

If the proof stress classification of the required specifications is the upper yield point, the case to be searched must be at the upper yield point.

The case to be searched must have a tensile strength lower than the upper limit of the required specifications.

(3) Impact test items: If the impact test direction of the required specifications is in the Z direction, the case to be searched must be in the Z direction.

If the required specification impact test sampling part is 1/4 part of the flange, the case to be searched must be part of the corner, 1/4 part of the flange, or 176 parts of the flange.

The case to be searched has a required specification of impact test piece type of 2 mm.
For V, it must be 2 mm V.

The case to be searched must be below the impact test temperature value of the required specifications.

(4) Bending test item: If the bending test direction of the required specification is 2, the search case is Z.
Must be in the direction.

If it is part of a corner, it must be part of a corner.

The case to be searched must have a bending angle value greater than or equal to the required specification.

(5) Weldability item: The case to be searched is A if the component CEQ formula of the required specification is A.
or C or D or E or F or G or I or J or K or L or M or N or P or Q or R or T or U.

(Definition of CEQ formula symbols) A: C+Mn/6 B: C+Mn/10 C: C+Mn/6+Si/24 D: C+Mn/6+Si/24+Cr15+V
/14 In the case to be searched, the bending test sampling part of the required specification is T.
: C+Mn/6+(Ni+Cu)/15U:
C tenan/6 + (Ni + Cu)/15+ (
Cr + Mo + V) 15 The case to be searched must be less than or equal to the component CEQ upper limit value of the required specification.

In the next step S3, as a result of the search in step S2, 1
Identify whether three or more referable (valid) cases have been extracted. If a referenceable case is extracted, the process advances to step S4.

In step S4, a single case is selected as preprocessing for determining whether manufacturing is possible. That is, if only one example is extracted in the process of step S2, the determination is made based on it, but if multiple referenceable examples are extracted, the most appropriate one among them is selected. and make a judgment based on the selected cases.

Actually, for each extracted case, a value called a counter number indicating the degree of satisfaction is determined, and the case with the smallest number of counters is selected first. The counter number is a number indicating how many items the case does not satisfy with respect to the order detail conditions.

Here, in order to find the number of counters, we use knowledge base 30.
A calculation rule for the number of counters is registered above, and the inference engine calculates the number of counters without referring to the calculation rule. Typical examples of calculation rules are shown below, categorized by item.

(1) Component item: If the C lower limit of the searched case is smaller than the C lower limit of the required specification, set it as a counter (add 1).

If the C upper limit of the searched case is larger than the C upper limit of the required specification, it is set as a counter.

If the Mn/C lower limit of the searched case is smaller than the Mn/C lower limit of the required specification, it is set as a counter.

(2) Base material heat treatment method: If there is no designation for the base material heat treatment in the searched case, if there is a designation in the base material heat treatment in the required specifications, it will be counted as a counter.

If the base material heat treatment method in the searched case is normalizing, and the required specification is not normalizing, use the counter.

In addition, if multiple cases with the minimum number of counters calculated based on the above rules are detected, in order to select one from them, the conditions of the case with the lowest manufacturing cost and the latest case are added. and select. by this,
Eventually only one instance will be detected.

In step S5, it is determined whether manufacturing is possible or not based on one case detected in step S4. First, from the detected case data, extras, manufacturing time, necessity and period of accuracy testing, ingredients (C, Si, etc.) are examined.

Mn, P, Sz Cu, Ni+ Cr, Mo, Nb.

V, Ti, B, AI, Ca, N, H, Mn/C, Nb/
V.

■C, etc.) Target values for upper and lower limits, base material heat treatment method, deoxidizing conditions,
Extract the values of items related to manufacturing methods such as controlled rolling methods. These values will remain as they are and will be the resulting values for the current order details conditions. Next, in the same manner as in step S4, the value of the current order detail condition and the resulting value are compared for the item related to the manufacturing method, and a counter value for the current order detail condition is derived. For example, when the Mn upper limit of the current order details condition is 1.35%, the counter value is
If the n upper limit target value is 1.60%, the Mn upper limit counter value will be 1.60%, and when the C upper limit of the current order details condition is 0.23%, the resulting C upper limit target value will be 1.60%. When is 0.17%, there is no C upper limit counter value.

If there is no item for which the counter value derived as described above exists and no certainty test is required, the manufacturability determination result will be "manufacturable". Conversely, if there is at least one item with a counter value, or if a certainty test is required, the manufacturing feasibility determination result will be "manufacturable with conditions", and the condition is the period of the certainty test. or the derived counter value. An example of the results of the manufacturing feasibility determination is shown below.

"The result of the determination of whether or not it is possible to manufacture for the current order details condition is that it is possible to manufacture."
Manufacture is possible on the condition that the upper limit is increased from 1.35% to 1.60%. "The result of the manufacturing feasibility judgment for this order specification condition is that manufacturing is possible on the condition that normalizing treatment is performed. Also, X yen/l is required as heat treatment extra.

” These manufacturability determination results are registered in the database 10 and used in the next manufacturability determination.

In step S2, if case data that satisfies the minimum order details conditions is not found, step S2
3 and proceeds to step S6.

Step S6 is a task that requires human intervention, and either performs a more detailed judgment using material test data (scatter diagram data for tensile tests, transition diagram data for impact tests, etc.), or performs an actual accuracy test. By doing so, it is determined whether or not it can be manufactured. The results are registered in the database 10 as a new track record, and are used in subsequent manufacturing feasibility determinations.

[Effects of the Invention] Claim 1: As described above, according to the present invention, it is possible to automatically determine whether or not a steel product can be manufactured without human intervention. Therefore, the judgment results can be output in a short period of time, and there is no variation in the judgment results as in the case of humans. By adding the amount of information in the knowledge base, the judgment accuracy can be improved at any time.

Claim 2: According to the present invention, the optimal one closest to the input specifications is selected from a large number of registered examples (performance information), and inference is performed based on it, resulting in extremely high accuracy. It is possible to perform a manufacturing feasibility judgment with a high degree of accuracy.

[Brief explanation of the drawing]

FIG. 1 is a block diagram showing the configuration of an apparatus implementing the present invention, and FIG. 2 is a flowchart including the processing of the apparatus shown in FIG. Input device (input means) 2.3: Output device 10: Database (database means) 20: Inference engine (judgment means) 30: Knowledge base (rule base means) ES: Expert system t1 voice] Figure ES

Claims (2)

[Claims] (1) Input means for inputting information regarding the specifications of the target steel product; database means in which past results are accumulated; rule base means for holding information search rules and judgment rules regarding information on the database means; and the input means A determining device for determining whether or not a steel product can be manufactured based on the product specifications inputted by the user and the rules on the rule base means, using performance information on the database means. (2) When multiple pieces of track record information that satisfy a part of the input product specifications are detected, the determining means selects and selects the most suitable piece of track record information based on knowledge data in which rules regarding materials are defined. 2. The apparatus for determining whether or not a steel product can be manufactured according to claim 1, which determines whether or not it can be manufactured based on one piece of track record information.