KR20220106007A - Roll management apparatus - Google Patents

Abstract

The present invention provides a roll management apparatus capable of determining a rolling roll state based on information of the past rolling roll state and suggesting an application method for the rolling roll. The roll management apparatus comprises: a data collection unit which collects physical quantity data and rolling application condition data for a plurality of rolling rolls during rolling; a data storage unit which accumulates the physical quantity data and rolling application state data collected by the data collection unit up to the previous rolling; a state determination unit which reads the related physical quantities for the rolling application condition data accumulated in the data storage unit, which is identical or similar to the rolling application condition data of a specific rolling roll used in rolling, and determines a state of the specific rolling roll based on the related physical quantities; and a recommended application method determination unit which suggests a recommended application method for the specific rolling roll based on the state of the specific rolling roll determined by the state determination unit.

Description

ROLL MANAGEMENT APPARATUS

This disclosure relates to a roll management device.

Patent Literature 1 discloses a roll management device. The said roll management apparatus can remove the eccentricity of a rolling roll.

Japanese Patent No. 5821527

However, the roll management apparatus of patent document 1 cannot find out the factor which the eccentricity of a rolling roll generate|occur|produces. For this reason, a rolling roll cannot be applied suitably at the opportunity of next rolling.

This indication was made in order to solve the subject mentioned above. An object of the present disclosure is to provide a roll management device to which a rolling roll can be appropriately applied.

A roll management device according to the present disclosure includes a data collection unit that collects physical quantities and application condition data of a plurality of rolling rolls at the time of rolling, and a physical quantity and rolling application conditions collected by the data collection unit until the last rolling With respect to the data storage unit for accumulating data, and the application condition data for rolling stored in the data storage unit identical to or similar to the application condition data for rolling of a specific rolling roll used for rolling, a related physical quantity is read, A state determination unit that determines the state of the specific rolling roll based on a physical quantity to be used, and a recommended application that presents a recommended application method for the specific rolling roll based on the state of the specific rolling roll determined by the state determination unit A method judgment unit was provided.

According to the present disclosure, a roll management apparatus presents an application method recommended for a specific rolling roll based on the state of the specific rolling roll. For this reason, a rolling roll can be applied suitably.

BRIEF DESCRIPTION OF THE DRAWINGS It is a block diagram of the roll management system to which the roll management apparatus in Embodiment 1 is applied.
Fig. 2 is a configuration diagram of a roll management device according to the first embodiment.
3 : is a graph which shows the example of the roll physical quantity signal, the material entry detection signal, the material departure detection signal, and the material full length measurement signal of the roll management apparatus in Embodiment 1. FIG.
4 is a graph showing an example of roll developing data before processing and roll developing data on which preprocessing has been completed by the roll management apparatus according to the first embodiment.
Fig. 5 is a diagram showing an example of the development history database for each layer of the roll management apparatus according to the first embodiment.
6 is a diagram showing an example of a state determination threshold database of the role management apparatus according to the first embodiment.
Fig. 7 is a diagram showing an example of a state mode database of the role management apparatus according to the first embodiment.
Fig. 8 is a diagram showing an example of a database of a recommendation application method of the role management apparatus according to the first embodiment.
9 is a flowchart for explaining the outline of the operation of the roll management device according to the first embodiment.
Fig. 10 is a hardware configuration diagram of the roll management apparatus according to the first embodiment.
11 is a configuration diagram of a roll management device according to a second embodiment.
12 is a block diagram of a roll management device according to a third embodiment.
13 is a configuration diagram of a roll management device according to a fourth embodiment.
14 is a configuration diagram of a roll management device according to a fifth embodiment.
Fig. 15 is a configuration diagram of a roll management device according to a sixth embodiment.
16 is a block diagram of a roll management device according to a seventh embodiment.

EMBODIMENT OF THE INVENTION Embodiment is demonstrated according to attached drawing. In addition, in each figure, the same code|symbol is attached to the same or corresponding part. The overlapping description of this part is suitably simplified or omitted.

Embodiment 1.

BRIEF DESCRIPTION OF THE DRAWINGS It is a block diagram of the roll management system to which the roll management apparatus in Embodiment 1 is applied.

As shown in FIG. 1 , the roll management system includes a rolling mill 11 , a roll management device 1 , and a process computer 12 .

The rolling mill 11 includes an upper rolling roll 21 , a lower rolling roll 22 , a roll physical quantity sensor 31 , a material ingress detection sensor 32 , a material departure detection sensor 33 , and a material full length measurement sensor 34 . ) is provided. For example, the rolling mill 11 rolls ferrous and non-ferrous materials.

The upper rolling roll 21 and the lower rolling roll 22 are rolled with a material sandwiched therebetween. L is the total length of the material 42 after rolling. L1 is an intermediate position of the material 42 after rolling. L2 is an intermediate position of the material 42 after rolling.

The roll physical quantity sensor 31 is formed so that the physical quantity regarding the upper rolling roll 21 can be measured. For example, the physical quantity regarding the upper rolling roll 21 is the pressure applied to the upper rolling roll 21 . For example, the physical quantity regarding the upper rolling roll 21 is the displacement of the position of the upper rolling roll 21 . For example, the physical quantity regarding the upper rolling roll 21 is a value of the vibration of the rolling load in the upper rolling roll 21 . For example, the physical quantity related to the upper rolling roll 21 is the rolling tension in the upper rolling roll 21 . The roll physical quantity sensor 31 transmits a roll physical quantity signal based on the physical quantity regarding the upper rolling roll 21 .

The material entry detection sensor 32 is formed so that entry of the material 41 before rolling can be detected. For example, the material entry detection sensor 32 detects that the material 41 before rolling has passed its detection range. For example, when the material entrance detection sensor 32 detects the entrance of the material 41 before rolling, it transmits a material entrance detection signal. For example, the material entrance detection sensor 32 transmits a material entrance detection signal with respect to the passing state in the self detection range of the material 41 before rolling. For example, the material entrance detection sensor 32 transmits a material entrance detection signal as a signal indicating whether or not the material 41 before rolling was detected in its proximity position. For example, the material entry detection signal is a truth value. For example, a material advance detection signal shows "1", when the material advance detection sensor 32 detected the material 41 before rolling in one's proximity position. For example, the material entrance detection signal shows "0" when the material entrance detection sensor 32 is not detecting the material 41 before rolling in its proximity position.

The material departure detection sensor 33 is formed so as to be able to detect the separation of the material 42 after rolling. For example, the material departure detection sensor 33 detects that the material 42 has passed its detection range after rolling. For example, the material departure detection sensor 33 transmits a material departure detection signal when it detects the separation of the material 42 after rolling. For example, the material departure detection sensor 33 transmits a material departure detection signal with respect to the passing condition of the material 42 in its detection range after rolling. For example, the material departure detection signal is a truth value. For example, the material departure detection signal shows "1" when the material departure detection sensor 33 detects the material 42 after rolling in its proximity position. For example, the material entry detection signal shows "0" when the material departure detection sensor 33 is not detecting the post-rolling material 42 in its proximity position.

For example, the material full-length measurement sensor 34 detects that the front-end|tip of the material 42 after rolling has passed its detection range. For example, the material full-length measurement sensor 34 detects the time when the front-end|tip of the material 42 passed its detection range after rolling. For example, the material full-length measurement sensor 34 detects that the end of the material 42 has passed its detection range after rolling. For example, the material full-length measurement sensor 34 detects the time when the end of the material 42 has passed its detection range after rolling. The material full-length measurement sensor 34 transmits a material full-length measurement signal. For example, a material full-length measurement signal is the length from the front-end|tip of the material 42 after rolling in the measurement time after a rolling start to a self-detection point. For example, when the rolling start time is set to time 0 and the rolling end time T, the material full length measurement signal at the rolling end time T is the total length L of the material 42 after rolling. indicates.

The roll management apparatus 1 is formed so that communication with the rolling mill 11 is possible. The roll management device 1 is formed so as to be able to communicate with the process computer 12 .

For example, the process computer 12 is a general purpose computer. The process computer 12 is configured to be able to receive application condition data of rolling from a production management computer, not shown. For example, the application condition data is a production instruction. For example, application condition data is a manufacturing specification. For example, the application condition data is information such as the steel type, size, and temperature of the material to be rolled. The process computer 12 calculates rolling conditions based on the received information. The process computer 12 transmits the calculated value.

Next, the structure of the roll management apparatus 1 is demonstrated using FIG.

Fig. 2 is a configuration diagram of a roll management device according to the first embodiment.

As shown in FIG. 2 , the roll management device 1 includes a data collection unit 2 , a data quantification unit 3 , a data storage unit 4 , a state determination unit 5 , and a recommended application method determination unit 6 . ) is provided.

The data collection unit 2 receives a roll physical quantity signal, a material entry detection signal, a material departure detection signal, and a material full length measurement signal from the rolling mill 11 . For example, the data collection part 2 synchronizes and receives a roll physical quantity signal, a material entry detection signal, a material departure detection signal, and a material full-length measurement signal. The data extraction unit 2 includes a data extraction unit 2a and a data preprocessing unit 2b.

The data extraction unit 2a extracts the pre-processing roll development data from the signal received from the rolling mill 11 . The pre-processing roll development data is information regarding the upper rolling roll 21 . For example, the roll development data before processing is information obtained by extracting data in a range necessary for quantification among the information regarding the upper rolling roll 21 . For example, the roll development data before processing is the value of the vibration of a rolling load. For example, the roll development data before processing is the value of the rolling tension. For example, the roll development data before processing is a displacement value of a rolling roll. For example, the roll development data before processing includes a predetermined sampling period and a predetermined sampling time range. For example, the pre-processing roll development data includes an appropriate sampling period and an appropriate sampling time range for quantifying the rolling roll-related phenomena. As an example of a specific sampling period, when the frequency of roll eccentricity is about 2 Hz when collecting roll eccentric vibration data, the sampling frequency is set to 4 times in consideration of sampling theorem and the influence of noise. In this case, an appropriate sampling period is set to about 100 ms. For example, an appropriate sampling time range is a time timing, such as after rolling start, the middle of rolling, when rolling is complete|finished. For example, an appropriate sampling time range is established based on the position of the measurement point along the entire length of the material. For example, the position of the measurement point in the total length of the material is the position of the tip in the total length of the material, the intermediate position in the total length of the material, the position of the rear end in the total length of the material, and the like. The data extraction unit 2a transmits the pre-processing roll developing data.

The data pre-processing unit 2b receives the pre-processing roll developing data from the data extraction unit 2a. The data pre-processing unit 2b processes the pre-processing roll developing data to obtain the pre-processed roll developing data. For example, the data pre-processing unit 2b filters the pre-processing roll developing data. For example, the filter is a low-pass filter or a high-pass filter. In addition, the pre-processing roll developing data and the pre-processing-completed roll developing data are collectively referred to as roll developing data.

For example, the data quantification unit 3 is PLC. For example, the data quantification unit 3 is DCS. For example, the data quantification unit 3 is a general-purpose computer. The data quantification unit 3 receives the roll development data on which the pre-processing has been completed from the data collection unit 2 . The data quantification unit 3 generates state quantification data from the roll development data on which the pre-processing has been completed. State quantification data is data which quantified the state of a rolling roll. The data quantification unit 3 transmits state quantification data. The data quantification unit 3 includes a basic statistic calculation unit 3a.

The basic statistic calculation unit 3a calculates the basic statistic from the pre-processed roll phenomenon data to be subjected to data quantification, and generates state quantified data. For example, the basic statistic is a mean value, median value, difference between maximum and minimum values, standard deviation or variance, and the like. The basic statistic calculation unit 3a generates, for each of the various roll phenomenon data, respective state quantification data. The basic statistic calculation unit 3a generates state quantification data for each material 41 before rolling and material 42 after rolling.

The data storage unit 4 is formed so as to be able to communicate with the data quantification unit 3 . The data storage unit 4 is formed so as to be able to communicate with the process computer 12 . The data storage unit 4 receives the state quantification data from the data quantification unit 3 . The data storage unit 4 receives state quantification data from the data quantification unit 3 for each of the plurality of rolling rolls. The data storage unit 4 stores state quantified data. The data storage unit 4 accumulates and stores the state quantification data received in the past. The data storage unit 4 receives the value calculated by the process computer 12 and the application condition data from the process computer 12 . The data storage unit 4 includes a data storage unit 4a, a development history data reading unit 4b for each layer, and a development history database 4c for each layer. The data storage unit 4 generates development history data for each layer based on the application condition data and the stored data. For example, the development history data for each layer is data in which items such as roll ID, a choke supporting the roll, manufacturing specifications such as steel type, size, and temperature of the material to be rolled, and rolling conditions are recorded for each layer. In addition, roll ID is a number which identifies a rolling roll individually.

The data storage unit 4a, the layer-by-layer development history data reading unit 4b, and the layer-by-layer development history database 4c are each formed so as to be able to communicate with each other.

The data storage unit 4a receives roll development data and state quantification data from the data quantification unit 3 . The data storage unit 4a receives, from the process computer 12, application condition data related when applying a roll. For example, application condition data related to a rolling roll is a roll ID, a choke which supports a roll, manufacturing specifications, such as a steel type, size, and temperature of the material to be rolled, rolling conditions, etc. For example, the data storage unit 4a uses the role ID as a key, and stores related data such as other application conditions together.

The layer-by-layer development history data reading unit 4b reads the layer-by-layer development history data based on a request from the outside. The layer-by-layer development history data reading unit 4b reads the layer-by-layer development history data in response to a request from another device. The layer-by-layer development history data reading unit 4b reads the layer-by-layer development history data with the same application condition data in response to a request from another apparatus. The layer-by-layer development history data reading unit 4b reads the layer-by-layer development history data with similar application condition data, in response to a request from another apparatus. For example, the layer-by-layer development history data reading unit 4b reads the layer-by-layer development history data based on a request from the process computer 12 . The development history data for each layer is generated by indexing for each layer by arbitrary items from among the data stored in the development history database 4c for each layer, using the role ID as the key, and related data such as state quantification data and other connected application conditions. is data.

The development history database 4c for each layer stores the data received by the data storage unit 4a in association with each data acquisition time as development history data for each layer.

The state determination unit 5 is formed so as to be able to communicate with the data storage unit 4 . The state determination unit 5 receives the state quantification data from the data storage unit 4 . The state determination unit 5 reads development history data for each layer from the data storage unit 4 . The state determination unit 5 determines the state mode of the rolling roll based on state quantification data related to application condition data identical to or similar to application condition data for rolling of a specific rolling roll used for rolling and development history data for each layer. . The state determination unit 5 includes a state phenomenon database 5a and a state determination unit 5b.

The state phenomenon database 5a includes a state determination threshold database and a state mode database. For example, the state determination threshold database is a database in which, for each of the state quantified data, there is an abnormal state and a state determination threshold value for determining the state level, which is the level of the state, is listed. The state determination threshold is a value for determining whether or not the state of the roll is abnormal and the state level thereof. For example, the state determination threshold is preset. For example, the state determination threshold is set semi-fixedly. For example, the state determination threshold is calculated from the past experience and knowledge of the user 7 about the plant. For example, the state mode is preset. For example, the state mode is set semi-statically. For example, the state mode is calculated from past experience and knowledge of the user 7's plant.

When receiving application condition data of a specific rolling roll used for rolling, the state determination unit 5b reads from the data storage unit 4 layer-by-layer development history data related to application condition data identical to or similar to the application condition. do. For example, when the state judging unit 5b receives the rolling roll ID and the application condition related to the state quantification data, the development history data for each layer related to the rolling roll ID and the application condition is stored from the data storage unit 4 . read For example, when receiving the rolling roll ID and application conditions from the data storage unit 4 , the state determination unit 5b may store development history data for each layer related to the rolling roll ID and application conditions into the data storage unit 4 . ) is read from The state judging unit 5b compares the read layer-by-layer development history data with data obtained from the state development database 5a, and determines the state level and state mode of the state quantification data. The state determination unit 5b determines whether or not the state of the roll is abnormal and its state level, based on the read development history data for each layer and the state determination threshold value obtained from the state development database 5a. The state determination unit 5b determines which state mode is the combination of the data item that conflicts with the state determination threshold and the state level.

The recommendation application method determination unit 6 is formed so as to be able to communicate with the data storage unit 4 . The recommendation application method determination unit 6 is formed to be able to communicate with the state determination unit 5 . The recommendation application method determination unit 6 receives from the state determination unit 5 data items that conflict with the state determination threshold and the state mode determined by the state determination unit 5 . The recommended application method determination unit 6 determines the recommended application method of the rolling roll and development history data for each layer. The recommended application method determination unit 6 externally displays the recommended application method of the rolling roll and development history data for each layer. The recommended application method determination unit 6 presents the recommended application method of the rolling roll and development history data for each layer to the user 7 . The recommendation application method determination unit 6 includes a recommendation application method database 6a and a recommendation application method determination unit 6b.

The recommended application method database 6a stores a value for determining the recommended application method of the rolling roll. For example, the value for determining the recommended application method of the rolling roll is a value for determining the recommended application method for the combination of state modes. The recommended application method is the application method of the rolling roll recommended for the state mode. For example, the recommended application method is avoidance of roll application by roll exchange. For example, the recommended application method is a rolling condition change by reducing the roll load.

The recommended application method determination unit 6b is configured to, when the rolling roll ID and the application condition are given, with respect to the layer-by-layer development history data and the layer-by-layer development history data related to the rolling roll ID and application condition, the state determination unit 5b get state mode from The recommendation application method determination unit 6b obtains an appropriate recommendation application method from the recommendation application method database 6a for the received state mode. The recommended application method determination unit 6b externally displays the recommended application method of the rolling roll and development history data for each layer. For example, the recommended application method determination unit 6b presents the recommended application method of the rolling roll and development history data for each layer to the user 7 . For example, the recommendation application method determination unit 6b presents to the user 7 by display on the display device. For example, the recommendation application method determination unit 6b presents to the user 7 by voice of the audio output device.

Next, an example of the processing performed by the data extraction unit 2a after the rolling start until the pre-rolling material 41 rolls by the distance L is demonstrated using FIG. 3 .

3 : is a figure which shows the example of a roll physical quantity signal, a material entry detection signal, a material departure detection signal, and a material full-length measurement signal of the roll management apparatus in Embodiment 1. FIG.

The uppermost graph is a graph showing the roll physical quantity signal. The graph in the 2nd row from the top is a graph which shows a material ingress detection signal. The graph in the 3rd row from the top is a graph which shows the material departure detection signal. The graph of the lowermost stage is a graph which shows a material full-length measurement signal.

The time T0 is the time at which the material is bitten by the upper rolling roll 21 and the lower rolling roll 22 . The time T is the time at which the material was rolled by the length (L) minutes. Time T1 is the time at which the material 42 was rolled from the front-end|tip to the position of L1 after rolling. Time T2 is the time at which the material 42 was rolled from the front-end|tip to the position of L2 after rolling.

For example, the data extraction unit 2a (not shown) cuts out the roll physical quantity signal in the time range by the elapsed time after the start of rolling. Specifically, the data extraction unit 2a sets the cutting time range from the time T0 to the time T, so that the upper rolling roll 21 from the start of rolling until the distance L is rolled. Relevant roll phenomenon data are collected. The data extraction unit 2a relates to the upper rolling roll 21 until rolling by the distance from the rolling start to the distance L1 by making the cutting time range into the time T0 to the time T1. The resulting roll phenomenon data is collected.

For example, the data extraction unit 2a extracts the roll development data during rolling for an appropriate site|part from the site|part of the material 42 after rolling. Specifically, the data extraction unit 2a refers to the material full-length measurement signal as a timing corresponding to a time range corresponding to the intermediate portion L1 to L2 of the material 42 after rolling, thereby providing a time range from time T1 to T2 get The data extraction unit 2a cuts out the roll physical quantity signal in the time range from time T1 to time T2. As a result, the data extraction unit 2a extracts the roll development data when rolling L2 from L1 of the material 42 after rolling.

Next, an example of the roll developing data before processing and the roll developing data on which the preprocessing is completed is demonstrated using FIG.

Fig. 4 is a graph showing an example of roll developing data before processing and roll developing data on which preprocessing has been completed by the roll management apparatus according to the first embodiment.

The graph in the upper part of FIG. 4 is a graph which shows the pre-processing roll development data regarding the vibration of the rolling roll which the data extraction unit 2a extract|collected. The graph in the lower part of FIG. 4 is a graph which shows the roll developing data processed by the data preprocessing unit 2b and the preprocessing completed. As shown in Fig. 4, the roll development data before processing includes noise. The noise includes instantaneous noise and low-frequency noise with large undulations. In roll development data that has been pre-processed, noise is removed by filter processing.

Next, an example of the development history database for each layer will be described using FIG. 5 .

Fig. 5 is a diagram showing an example of the development history database for each layer of the roll management apparatus according to the first embodiment.

As shown in FIG. 5 , in the development history data for each layer, rolling material ID, roll ID, check ID, rolling material type, rolling material size, rolling condition, data acquisition time, and state quantification data are recorded as items. For example, the development history data for each layer is divided into data acquisition times such as data record 1, data record 2, and data record 3, and data is recorded for each layer for each item.

Next, an example of the state determination threshold database will be described using FIG. 6 .

6 is a diagram showing an example of a state determination threshold database of the role management apparatus according to the first embodiment.

As shown in FIG. 6 , in the state determination threshold database, a plurality of state determination thresholds are set for each state quantified data. For example, in the example shown in FIG. 6, in the case of the threshold value X1 with respect to the state quantification data A, the state level becomes "level 1".

Next, an example of the state mode database will be described using FIG. 7 .

Fig. 7 is a diagram showing an example of a state mode database of the role management apparatus according to the first embodiment.

As shown in Fig. 7 , in the state mode database, a state mode to be determined is set for each combination of a data item that violates a state determination threshold and its state level. For example, in the example shown in Fig. 7 , when the data item that violates the state determination threshold is the state quantified data A and the state level is 2, the data item that violates the state determination threshold is the state quantified data B, and the state When the level is 2, it is determined that the state mode is "there is a possibility of the state mode X".

Next, an example of the recommendation application method database will be described using FIG. 8 .

Fig. 8 is a diagram showing an example of a database of a recommendation application method of the role management apparatus according to the first embodiment.

As shown in Fig. 8 , the recommended application method is set in the recommended application method database for the determined state mode. For example, in the example shown in FIG. 9, when it is determined that there is a possibility of the state mode X, the recommended application method becomes "load reduction".

Next, the operation|movement of the roll management apparatus 1 is demonstrated using FIG.

9 is a flowchart for explaining the outline of the operation of the roll management device in the first embodiment.

In step S1, the rolling mill 11 starts rolling of a material. Then, the data collection part 2 performs the operation|movement of step S2.

In step S2, the data collection unit 2 collects roll development data. Then, the data quantification part 3 performs the operation|movement of step S3.

In step S3, the data quantification unit 3 generates state quantified data. Thereafter, the data storage unit 4 performs the operation of step S4.

In step S4, the data storage unit 4 stores state quantified data. Next, the data storage unit 4 reads the development history data for each layer based on the input from the process computer 12 . Then, the state determination part 5 performs the operation|movement of step S5.

In step S5, the state determination part 5 determines the state mode of a rolling roll based on the development history data for each layer. Thereafter, the recommendation application method determination unit 6 performs the operation of step S6.

In step S6, the recommendation application method determining unit 6 determines the recommendation application method based on the state mode. Thereafter, the roll management device 1 performs the operation of step S7.

In step S7, the role management device 1 displays the recommendation application method externally. After that, the roll management device 1 ends the flow.

Next, the example of the roll management apparatus 1 is demonstrated using FIG.

Fig. 10 is a hardware configuration diagram of the roll management device according to the first embodiment.

Each function of the roll management device 1 can be realized by a processing circuit. For example, the processing circuit includes at least one processor 100a and at least one memory 100b. For example, the processing circuit includes at least one dedicated hardware 200 .

When the processing circuit includes at least one processor 100a and at least one memory 100b, each function of the role management apparatus 1 is realized by software, firmware, or a combination of software and firmware. At least one of software and firmware is described as a program. At least one of software and firmware is stored in at least one memory 100b. The at least one processor 100a realizes each function of the role management apparatus 1 by reading and executing the program stored in the at least one memory 100b. The at least one processor 100a is also referred to as a central processing unit, a processing unit, an arithmetic unit, a microprocessor, a microcomputer, or a DSP. For example, the at least one memory 100b is a nonvolatile or volatile semiconductor memory such as RAM, ROM, flash memory, EPROM, and EEPROM, magnetic disk, flexible disk, optical disk, compact disk, mini disk, DVD, etc. etc.

Where the processing circuitry has at least one dedicated hardware 200, the processing circuitry may be, for example, a single circuit, a complex circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination thereof. is realized with For example, each function of the monitoring device 9 is realized by a processing circuit, respectively. For example, each function of the roll management apparatus 1 is collectively realized by a processing circuit.

For each function of the role management device 1, a part may be realized by dedicated hardware 200, and the other part may be realized by software or firmware. For example, the function of the data collection unit 2 is realized by a processing circuit as the dedicated hardware 200, and at least one processor 100a has at least one function other than the function of the data collection unit 2 It may be realized by reading and executing the program stored in the memory 100b.

In this way, the processing circuit implements each function of the role management device 1 by hardware 200, software, firmware, or a combination thereof.

According to Embodiment 1 demonstrated above, the roll management apparatus 1 presents the application method recommended with respect to a specific rolling roll based on the state of a specific rolling roll. For this reason, a rolling roll can be applied suitably.

Moreover, the roll management apparatus 1 can suppress abnormality of a rolling roll. For this reason, a rolling material can be produced systematically.

Moreover, the roll management apparatus 1 can suppress the breakage of a rolling roll. For this reason, the influence on facilities other than a rolling mill by the failure of a rolling mill can be reduced.

Moreover, the roll management apparatus 1 performs data quantification automatically. For this reason, it is not necessary for the user 7 to perform the work of data quantification.

In addition, the roll management device 1 records a plurality of data related to rolling. For this reason, the operation|work which integrates several data regarding rolling is unnecessary.

In addition, the roll management device 1 presents the recommended application method of the rolling roll and the development history data for each layer to the user 7 . For this reason, the user 7 can judge how to apply the rolling roll applied to the rolling mill 11 to rolling based on own experience and knowledge.

Moreover, the role management apparatus 1 is equipped with the state determination threshold value database. For this reason, the determination precision for each position of rolling improves.

Further, the roll management device 1 quantifies the roll development data and generates state quantified data. For this reason, the roll state can be grasped|ascertained quantitatively.

In addition, the roll management apparatus 1 collect|collects only the data of the timing corresponding to the required time range. For this reason, the amount of data to be collected can be reduced. As a result, it is possible to shorten the data processing time, reduce the calculation load, and improve processing accuracy. Thereby, it is possible to process the roll developing data before processing using a general-purpose computer.

In addition, the roll management device 1 collects the roll development data before processing at an appropriate sampling cycle. For this reason, the amount of data to be collected can be reduced. As a result, it is possible to shorten the data processing time, reduce the calculation load, and improve processing accuracy. Thereby, it is possible to process the roll developing data before processing using a general-purpose computer.

In addition, the roll management device 1 collects all of the pre-processing roll development data within an appropriate sampling time range. For this reason, it is possible to process the roll developing data before processing using a general-purpose computer.

In addition, the roll management apparatus 1 sets the front-end|tip in material full length, the intermediate degree in material full length, and the rear-end in material full length, respectively as an appropriate sampling time range. For this reason, the determination precision for each position of rolling improves.

In addition, the roll management apparatus 1 does not need to be equipped with the data quantification part 3 . In this case, the data storage unit 4 receives the roll developing data on which the preprocessing has been completed from the data collection unit 2 . As a result, the roll management apparatus 1 determines the recommended application method of a rolling roll based on the roll development data on which the preprocessing was completed.

In addition, in the description regarding Embodiment 1, although the data extraction unit 2a exemplifies a method of collecting data at a timing corresponding to a required time range, it may be substituted by other means from which an appropriate timing is obtained.

In addition, the roll management device 1 generates the roll development data on which the pre-processing has been completed by applying a filter to the roll development data before the processing. For this reason, it is possible to shorten the data processing time, reduce the calculation load, and improve processing accuracy.

In addition, in execution of the preprocessing with respect to the pre-processing roll development data in a data collection means, you may perform data cleansing, such as complementation of missing data or normalization of a different data format, together.

In addition, the roll management apparatus 1 does not need to carry out a filter process and data cleansing with respect to the roll development data before a process.

In addition, the data quantification unit 3 may be integrated with the data collection unit 2 .

In addition, although the upper side rolling roll 21 was demonstrated as an object to be managed, it is good also considering the lower side rolling roll 22 as a management object. In this case, the roll physical quantity sensor 31 may measure the physical quantity regarding the lower side rolling roll 22 .

In addition, although the upper side rolling roll 21 was demonstrated as an object to be managed, it is good also considering both the upper side rolling roll 21 and the lower side rolling roll 22 as a management object. In this case, the roll physical quantity sensor 31 may measure the physical quantity regarding the upper rolling roll 21 and the lower rolling roll 22, respectively.

Further, when the recommendation application method determination unit 6b reads from the data storage unit 4 data related to the application condition given to perform determination of the recommendation application method, all data items constituting the application condition agree data may be read.

Further, when the recommendation application method determination unit 6b reads from the data storage unit 4 data related to the application condition given to perform the determination of the recommendation application method, it reads data in which some data items match. You can do it.

Embodiment 2.

11 is a configuration diagram of a roll management device according to a second embodiment. In addition, the same code|symbol is attached|subjected to the part of Embodiment 1 and the same or equivalent part. The description of this part is omitted.

The data quantification unit 3 in the second embodiment includes a frequency analysis unit 3b.

The frequency analysis unit 3b performs frequency analysis on the preprocessed roll development data to be subjected to data quantification, and converts the data into frequency domain data such as signal strength for each frequency component. The frequency analysis unit 3b generates state quantification data based on the transformed data in the frequency domain. For example, frequency analysis is a known analysis method, such as a Fourier transform, discrete Fourier transform, and wavelet transform, that transforms roll phenomenon data of a time domain representation into data of a frequency domain representation, such as signal intensity for each frequency component.

According to the second embodiment described above, it is possible to generate state quantified data that quantifies which frequency component and how much is included in the roll development data. For this reason, it is possible to increase the types of state quantification data items to be subjected to state determination. As a result, it is possible to increase the specific precision of the state mode. Moreover, a useful recommendation usage method and judgment basis data can be presented to the user 7 .

Embodiment 3.

12 is a block diagram of a roll management device according to a third embodiment. In addition, the same code|symbol is attached|subjected to the part of Embodiment 2 and the same or equivalent part. The description of this part is omitted.

The quantification unit 3 in the third embodiment includes a data model estimation unit 3c. The data model estimating unit 3c generates state quantified data by analyzing, based on the data model, the pre-processed roll phenomenon data to be subjected to data quantification. The data model is a known model such as a probability density function model, an autoregression model, or a neural network model.

According to Embodiment 3 explained above, the parameter of a data model can be used as a quantification means. For this reason, it is possible to increase the types of state quantification data items to be subjected to state determination. As a result, it is possible to increase the specific precision of the state mode. Moreover, a useful recommendation usage method and judgment basis data can be presented to the user 7 .

In addition, the quantification part 3 in this Embodiment 3 does not need to be equipped with the frequency analysis unit 3b.

Embodiment 4.

Fig. 13 is a configuration diagram of a roll management device according to a fourth embodiment. In addition, the same code|symbol is attached|subjected to the part of Embodiment 3 and the same or equivalent part. The description of this part is omitted.

The data quantification unit 3 in the fourth embodiment includes a quantified data manual input unit 3d. The quantified data manual input unit 3d receives input of externally quantified data. For example, the data quantified externally is data quantified by the user 7 based on his or her own experience and knowledge. Specifically, the data quantified externally is data based on an event or the like discovered by the operator. For example, data based on events discovered by the operator, etc., include rolling unstable events such as meandering and lateral misalignment of the material that occurred during rolling, rolling failure events such as product scratches, and defective shape of the product, and the difference between the material and the rolling roll. It is a rolling equipment state event, such as collision, state vibration of a rolling roll, overload of a rolling roll, and a flaw of a rolling roll, or these occurrence frequency, evaluation score, or occurrence frequency and evaluation score.

According to the fourth embodiment described above, externally quantified data is received. For this reason, it is possible to increase the types of state quantification data items to be subjected to state determination. As a result, it is possible to increase the specific precision of the state mode. Moreover, a useful recommendation usage method and judgment basis data can be presented to the user 7 .

In addition, the quantification part 3 in this Embodiment 4 does not need to be equipped with the frequency analysis unit 3b.

In addition, the quantification part 3 in this Embodiment 4 does not need to be equipped with the data model estimation unit 3c.

Embodiment 5.

Fig. 14 is a configuration diagram of a roll management device according to a fifth embodiment. In addition, the same code|symbol is attached|subjected to the part of Embodiment 1 and the same or equivalent part. The description of this part is omitted.

The state determination unit 5 in the fifth embodiment includes a state determination threshold value calculation unit 5c.

The state determination threshold value calculation unit 5c dynamically calculates the state determination threshold value from the state quantification data. The state determination threshold value calculation unit 5c sets the calculated state determination threshold value. For example, the state determination threshold value calculation unit 5c is configured to calculate a state determination threshold value such as Hotelling theory with respect to state quantification data related to the rolling roll ID when the rolling roll ID and application conditions are given. apply As a result, the state determination threshold value calculation unit 5c dynamically calculates the state determination threshold value.

According to the fifth embodiment described above, the state determination threshold is dynamically calculated by the state determination threshold value calculation unit 5c. For this reason, when an unexpected situation etc. arises, the state determination part 5 can change the state determination threshold value corresponding to the situation. As a result, it is possible to increase the specific precision of the state mode. Moreover, a useful recommendation usage method and judgment basis data can be presented to the user 7 .

Embodiment 6.

Fig. 15 is a configuration diagram of a roll management device according to a sixth embodiment. In addition, the same code|symbol is attached|subjected to the part of Embodiment 5 and the same or equivalent part. The description of this part is omitted.

The state determination unit 5 in the sixth embodiment includes a state determination logic estimation unit 5d.

The state determination logic estimation unit 5d constructs a causal relationship model from the rolling roll ID, the layer-by-layer development history data, and the application condition data. The state determination logic estimation unit 5d compares the constructed causal relationship model with the application condition data at the time of rolling, and sets logic for determining the state mode. For example, the causal relation model is a non-statistical causal relation model such as a statistical causal relation model, a decision tree, and a neural network. The state determination logic estimating unit 5d sets logic for determining the state mode with respect to the combination of the state level and the data item that violates the state determination threshold based on the causal relationship model. The state determination unit 5 determines the state mode based on the logic.

According to the sixth embodiment described above, the state determination unit 5 determines the state mode based on the logic. For this reason, it is possible to increase the specific precision of the state mode. In addition, useful recommended usage methods and data for the basis of judgment can be presented to the user 7 .

In addition, the state determination part 5 in this Embodiment 6 does not need to be equipped with the state determination threshold value calculation unit 5c.

variant.

The roll management device 1 in the modified example has the same configuration as the roll management device 1 in the first embodiment.

The recommended application method determination unit 6b in the seventh embodiment may estimate the recommended application method in the application condition of the rolling roll ID from the state mode in the same application condition with respect to the other rolling roll IDs. .

The recommended application method determination unit 6b is configured to, when a certain rolling roll ID and application condition are given, use the application condition as a key, regardless of the rolling roll ID, the layer-by-layer development history data related to the application condition, and the layer-by-layer The state determination device executes processing on the development history data to obtain a determined state mode.

For example, when a certain rolling roll ID and application conditions are given, the recommended application method determination unit 6b is configured to include the development history data for each layer that are the same as the application conditions regardless of the rolling roll ID, and the development history data for each layer. In response, the state determination device executes a process to obtain a determined state mode. Specifically, the recommended application method determination unit 6b is configured to, when rolling a soft material and a wide material on a certain rolling roll, a layer-by-layer phenomenon when rolling a soft material and a wide material with respect to another rolling roll A state mode determined by the state determination device executing processing on the history data and the development history data for each layer is obtained.

For example, the recommended application method determination unit 6b is configured to, when a certain rolling roll ID and application condition are given, the development history data for each layer similar to the application condition regardless of the rolling roll ID, and the development history data for each layer. In response, the state determination device executes a process to obtain a determined state mode. The recommended application method judging unit 6b is, when rolling a soft material and a wide material on a certain rolling roll, layer-by-layer phenomenon in the case of rolling a wide material regardless of the hardness of the material with respect to another rolling roll A state mode determined by the state determination device executing processing on the history data and the development history data for each layer is obtained.

According to the modified example described above, the recommendation application method determination unit 6b obtains the state mode irrespective of the rolling roll ID. For this reason, the roll management apparatus 1 can determine the recommended application method if it is data concerning the same rolling conditions. As a result, the roll management apparatus 1 can perform a wide range of determination, and can improve determination precision.

Embodiment 7.

Fig. 16 is a configuration diagram of a roll management device according to a seventh embodiment. In addition, the same code|symbol is attached|subjected to the same or equivalent part as a part in Embodiment 1. The description of this part is omitted.

The state determination unit 5 in the eighth embodiment includes a state occurrence prediction unit 5e.

The state occurrence prediction unit 5e transmits, to the recommendation application method determining unit 6 , the data of the state mode based on inference by prior knowledge. Specifically, inference based on prior knowledge, when a state mode occurs under a certain state mode: P, a certain rolling roll ID: X, and an application condition: A, a different rolling roll ID: Y and different application conditions: B When there is an inference that the same state mode may occur even under The recommended application method determination unit 6 is configured to obtain a state mode related to the rolling roll ID: Y and the application condition: B when the state mode: P occurs under the rolling roll ID: X and the application condition: A. When, state mode: data of the estimated state mode that P may occur is transmitted to the recommendation application method determining unit 6 .

According to the seventh embodiment described above, the role management device 1 determines the recommendation application method based on the reasoning based on the prior knowledge representing the reasoning. For this reason, regarding a certain rolling roll ID and a certain application condition, even when a state mode is not determined in the past, a recommended application method can be determined.

One ; role management device
2 ; data collection unit
2a; data extraction unit
2b; data preprocessing unit
3 ; data quantification unit
3a; Basic statistic calculation unit
3b; frequency analysis unit
3c ; data model estimation unit
3d ; Quantification data manual input unit
4 ; data store
4a; data storage unit
4b; Layer-by-layer development history data reading unit
4c ; Layer-by-layer phenomenon history database
5 ; state judging unit
5a; state phenomenon database
5b; state judgment unit
5c; State Judgment Threshold Calculation Unit
5d ; State judgment logic estimation unit
5e; state occurrence prediction unit
6 ; Recommendation application method judging unit
6a; How to Apply Recommendations Database
6b; Recommended application method judgment unit
7 ; user
11 ; rolling mill
12 ; process computer
21 ; upper rolling roll
22 ; lower rolling roll
31 ; roll physical quantity sensor
32 ; Material ingress detection sensor
33 ; Material departure detection sensor
34 ; Material Full Length Metrology Sensor
41 ; material before rolling
42 ; material after rolling
100a; processor
100b; Memory
200 ; hardware

Claims (17)

a data collection unit that collects physical quantities related to a plurality of rolling rolls at the time of rolling and data on application conditions for rolling;
a data storage unit for accumulating the physical quantity and rolling application condition data collected by the data collection unit until the previous rolling;
With respect to the rolling application condition data stored in the data storage unit that is the same as or similar to the rolling application condition data of a specific rolling roll used for rolling, a related physical quantity is read out, and based on the related physical quantity, the specific rolling roll a state determination unit for determining the state of
A recommended application method determination unit for presenting a recommended application method for the specific rolling roll based on the state of the specific rolling roll determined by the condition determination unit
Equipped with, a roll management device. The method of claim 1,
The state determination unit reads a physical quantity related to the rolling application condition data for the specific rolling roll stored in the data storage unit that is the same as or similar to the rolling application condition data of the specific rolling roll, and reads the related physical quantity. The roll management apparatus which determines the state of the said specific rolling roll based on a physical quantity. The method of claim 1,
The state determination unit reads a related physical quantity with respect to the rolling application condition data for other rolling rolls stored in the data storage unit that is the same as or similar to the rolling application condition data of the specific rolling roll, and reads the related physical quantity The roll management apparatus which determines the state of the said specific rolling roll based on . 4. The method according to any one of claims 1 to 3,
and the data collection unit collects the physical quantity based on a predetermined sampling period. 4. The method according to any one of claims 1 to 3,
wherein the data collection unit collects a physical quantity based on a predetermined sampling time range. 4. The method according to any one of claims 1 to 3,
The said data collection|collection part is a roll management apparatus which filters or cleanses the said physical quantity regarding the several rolling rolls at the time of the extract|collected rolling. 4. The method according to any one of claims 1 to 3,
The data storage unit accumulates, for each material to be rolled, a plurality of physical quantities and data of a plurality of rolling application conditions layer by layer in time series order,
The state determination unit reads a physical quantity related to the rolling application condition data related to the roll ID of the specific rolling roll stored in the data storage unit that is the same as or similar to the rolling application condition data of the specific rolling roll and determines the state of the specific rolling roll based on the related physical quantity. 4. The method according to any one of claims 1 to 3,
The data storage unit accumulates, for each material to be rolled, a plurality of physical quantities and data of a plurality of rolling application conditions layer by layer in time series order,
The state determination unit constructs a causal relationship model with respect to the plurality of physical quantities and the plurality of rolling application condition data accumulated in the data storage unit,
The roll management apparatus which determines the state of the said specific rolling roll by comparing the application condition data of rolling of the said specific rolling roll, and a causal relationship model. 4. The method according to any one of claims 1 to 3,
A data quantification unit for generating state quantification data obtained by quantifying the physical quantity is provided;
The data storage unit accumulates the state quantification data generated by the data quantification unit until the last rolling,
The state judging unit reads the state quantification data related to the application condition data of rolling stored in the data storage unit that is the same as or similar to the application condition data of the rolling of the specific rolling roll, and reads the state quantification data related to the state quantification data The roll management apparatus which determines the state of the said specific rolling roll based on it. 10. The method of claim 9,
The data quantification unit quantifies the physical quantity using a basic statistic to generate state quantification data. 10. The method of claim 9,
The data quantification unit quantifies the physical quantity by frequency analysis to generate state quantification data. 10. The method of claim 9,
The data quantification unit interprets the physical quantity based on a data model to generate state quantification data. 10. The method of claim 9,
The said state determination part is provided with the state determination threshold value database which records the state determination threshold value which is a threshold value for determining the state of the said specific rolling roll with respect to the state quantification data. 14. The method of claim 13,
The state determination unit dynamically calculates the threshold value. 10. The method of claim 9,
The state determination unit determines the state level at the time of rolling roll application based on the state quantification data related to the application condition data of the rolling accumulated in the data storage unit for the same roll ID as the roll ID of the specific rolling roll, ,
The recommended application method determination unit determines an application method recommended for the specific rolling roll based on the state level determined by the condition determination unit. 10. The method of claim 9,
The said state determination part determines the state of the said specific rolling roll based on state quantified data input from the outside, The roll management apparatus of Claim. 4. The method according to any one of claims 1 to 3,
The said state determination part determines the state of the said specific rolling roll based on the reasoning based on prior knowledge, The roll management apparatus of Claim.

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