TW202228873A - Roll management device - Google Patents

Abstract

An object of the present invention is to provide a roll management device capable of judging a state of a rolling roll based on information of a past state of the rolling roll, and presenting an application method of the rolling roll. The roll management device comprises: a data collection part adapted to collect a physical quantity and a rolling application condition data relating to a plurality of rolling rolls during rolling; a data storage part adapted to accumulate the physical quantity and the rolling application condition data collected by the data collection part until the last rolling; a state judgement part adapted to read a related physical quantity, for the rolling application condition data accumulated in the data storage part which is the same of or similar to the rolling application condition data of a specific rolling roll used in rolling, and judging a state of the specific rolling roll based on the related physical quantity; and an application method judgement part adapted to present an recommended application method for the specific rolling roll, based on the state of the specific rolling roll judged by the state judgement part.

Description

Roll management device

The present invention relates to a roll management device.

Patent Document 1 discloses a roll management device. The roll management device is capable of removing the eccentricity of the mill roll.

[Prior Art Literature]

[Patent Literature]

Patent Document 1: Japanese Patent No. 5821527

However, in the roll management device described in Patent Document 1, no factor for the occurrence of eccentricity of the reduction rolls has been found. Therefore, the calender roll cannot be properly applied in the next calendering opportunity.

The present disclosure was developed in order to solve the above-mentioned problems. An object of the present disclosure is to provide a roll management device that can appropriately use a calender roll.

The roll management device of the present disclosure includes: a data collection unit that collects data on physical quantities of a plurality of calendering rolls and application conditions of calendering during a calendering time; a data memory unit that stores the aforementioned data until the previous calendering time The collection section collects the physical quantities and application condition data of calendering; the state determination section is for the application conditions of calendering stored in the aforementioned data memory section which is the same or similar to the application condition data of calendering of a specific calendering roll used for calendering The relevant physical quantities are read out, and the state of the specific reduction roll is determined based on the relevant physical quantities; and the recommended application method determination section is based on the state of the specific reduction roll determined by the state determination section. to suggest the recommended method of application for the aforementioned specific calender rolls.

According to the present disclosure, the roll management device prompts a recommended application method for a specific calender roll based on the state of the specific calender roll. Therefore, calender rolls can be appropriately applied.

1: Roll management device

2: Data Collection Department

2a: Data extraction unit

2b: Data preprocessing unit

3: Data Quantification Department

3a: Basic statistics calculation unit

3b: Frequency Analysis Unit

3c: Data Model Estimation Unit

3d: Manual input unit for quantitative data

4: Data Memory Department

4a: Data memory unit

4b: Layer phenomenon record data readout unit

4c: Layer Phenomenon Record Database

5: Status determination section

5a: State Phenomenon Database

5b: Status determination unit

5c: State judgment threshold value calculation unit

5d: State decision logic estimation unit

5e: state occurrence prediction unit

6: Recommended application method determination section

6a: Repository of Recommended Application Methods

6b: Recommended application method determination unit

7: User

11: Calender

12: Dealing with the computer

21: Upper calender roll

22: Lower calender roll

31: Roller physical quantity sensor

32: Material enters detection sensor

33: Material separation detection sensor

34: Material full length measurement sensor

41: Material before calendering

42: Calendered material

100a: Processor

100b: memory

200: Hardware

FIG. 1 is a configuration diagram of a 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 in Embodiment 1. FIG.

3 is a graph showing an example of a roll physical quantity signal, a material entry detection signal, a material separation detection signal, and a material full length measurement signal of the roll management device in Embodiment 1. FIG.

FIG. 4 is a graph showing an example of the pre-processed roll phenomenon data and the pre-processed roll phenomenon data of the roll management device in Embodiment 1. FIG.

FIG. 5 is a diagram showing an example of a hierarchical phenomenon record database (data base) of the roll management device in Embodiment 1. FIG.

FIG. 6 is a diagram showing an example of the state determination threshold value database of the roll management device in Embodiment 1. FIG.

FIG. 7 is a diagram showing an example of the state pattern database of the roll management apparatus in Embodiment 1. FIG.

FIG. 8 is a diagram showing an example of a database of recommended application methods of the roll management apparatus in Embodiment 1. FIG.

FIG. 9 is a flowchart (flowchart) for explaining the outline of the operation of the roll management device in Embodiment 1. FIG.

FIG. 10 is a hardware configuration diagram of the roll management device in Embodiment 1. FIG.

FIG. 11 is a configuration diagram of a roll management device in Embodiment 2. FIG.

FIG. 12 is a configuration diagram of a roll management device in Embodiment 3. FIG.

FIG. 13 is a configuration diagram of a roll management device in Embodiment 4. FIG.

FIG. 14 is a block diagram of the roll management apparatus in Embodiment 5. FIG.

FIG. 15 is a block diagram of the roll management apparatus in Embodiment 6. FIG.

FIG. 16 is a configuration diagram of a roll management device in Embodiment 7. FIG.

Embodiments are described with reference to the accompanying drawings. In addition, in each figure, the same code|symbol is attached|subjected to the same or equivalent part. Repeated explanations in this section are appropriately simplified or omitted.

[Embodiment 1]

FIG. 1 is a configuration diagram of a 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 calender 11 , a roll management device 1 , and a process computer 12 .

The calender 11 includes an upper calender roll 21 , a lower calender roll 22 , a roll physical quantity sensor 31 , a material entry detection sensor 32 , a material separation detection sensor 33 , and a material full length measurement sensor 34 . For example, the calender 11 calenders ferrous/non-ferrous materials.

The upper calendering roll 21 and the lower calendering roll 22 sandwich and roll a material. L is the full length of the material 42 after rolling. L1 is the middle position of the material 42 after calendering. L2 is the middle position of the calendered material 42 .

The roll physical quantity sensor 31 is provided so as to be able to measure the physical quantity related to the upper calender roll 21 . For example, the physical quantity related to the upper reduction roll 21 is the pressure applied to the upper reduction roll 21 . For example, the physical quantity related to the upper reduction roll 21 is the displacement of the position of the upper reduction roll 21 . For example, the physical quantity related to the upper reduction roll 21 is the value of the vibration of the reduction load in the upper reduction roll 21 . For example, the physical quantity related to the upper reduction roll 21 is the reduction tension in the upper reduction roll 21 . The roll physical quantity sensor 31 transmits a roll physical quantity signal based on the physical quantity on the upper calender roll 21 .

The material entry detection sensor 32 is provided in such a way that it can detect the entry of the material 41 before calendering. For example, the material entry detection sensor 32 detects that the material 41 before calendering has passed its own detection range. For example, the material entry detection sensor 32 transmits a material entry detection signal when the entry of the pre-calendering material 41 has been detected. For example, the material entry detection sensor 32 transmits a material entry detection signal for the passing condition of the material 41 before calendering in its own detection range. For example, the material ingress detection sensor 32 transmits a material ingress detection signal as a signal indicating whether or not the pre-calendering material 41 has been detected in its own vicinity. For example, material enters The detection signal is a truth value. For example, the material entry detection signal displays "1" when the material entry detection sensor 32 has detected the pre-calendering material 41 in its vicinity. For example, the material entry detection signal shows "0" when the material entry detection sensor 32 does not detect the pre-calendering material 41 in its vicinity.

The material detachment detection sensor 33 is provided so as to be able to detect the detachment of the material 42 after rolling. For example, the material separation detection sensor 33 detects that the calendered material 42 has passed its own detection range. For example, the material separation detection sensor 33 transmits a material separation detection signal when the separation of the material 42 after calendering has been detected. For example, the material detachment detection sensor 33 transmits a material detachment detection signal according to the passing state of the material 42 after calendering in its own detection range. For example, the material separation detection signal is true. For example, the material separation detection signal indicates "1" when the material separation detection sensor 33 has detected the rolled material 42 in its vicinity. For example, the material separation detection signal indicates "0" when the material separation detection sensor 33 does not detect the rolled material 42 in its vicinity.

For example, the material full-length measuring sensor 34 detects that the front end of the rolled material 42 has passed its own detection range. For example, the material full-length measuring sensor 34 detects the time when the front end of the material 42 after calendering has passed its own detection range. For example, the material full-length sensor 34 detects that the end of the calendered material 42 has passed its own detection range. For example, the material full-length sensor 34 detects when the end of the material 42 after calendering has passed its own detection range. The material full length measurement sensor 34 transmits a material full length measurement signal. For example, the full length measurement signal of the material is the length from the front end of the rolled material 42 to its own detection point at the measurement time point after the rolling starts. For example, let the rolling start time point be time 0 and the rolling end time T In the case of , the full length measurement signal of the material at the rolling end time T indicates the full length L of the material 42 after rolling.

The roll management device 1 is provided so as to be able to communicate with the calender 11 . The roll management device 1 is provided so as to be able to communicate with the processing computer 12 .

For example, the processing computer 12 is a general-purpose computer. The processing computer 12 is set so as to receive the application condition data of the calendering from the production management computer (not shown). For example, the application condition data is a production instruction. For example, the application condition data is a manufacturing specification. For example, the application condition data is information on the steel grade, size, temperature, etc. of the material being rolled. The processing computer 12 calculates the rolling conditions based on the received information. The processing computer 12 transmits the calculated value.

Next, the structure of the roll management apparatus 1 is demonstrated using FIG. 2. FIG.

FIG. 2 is a configuration diagram of the roll management device in Embodiment 1. FIG.

As shown in FIG. 2 , the roll management apparatus 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 .

The data collection unit 2 receives the roll physical quantity signal, the material entry detection signal, the material separation detection signal, and the material full length measurement signal from the calender 11 . For example, the data collection unit 2 synchronously receives the roll physical quantity signal, the material entry detection signal, the material separation detection signal, and the material full length measurement signal. The data collection unit 2 includes a data extraction unit 2a and a data preprocessing unit 2b.

The data extraction unit 2a collects and processes the pre-roll phenomenon data from the signal received from the calender 11. The pre-processing roll phenomenon data is information on the upper calender roll 21 . For example, the pre-processing roll phenomenon data is information that selects data of a required range for quantification among the information on the upper calender roll 21 . For example, the data on the phenomenon of the front roll is the vibration of the calendering load. moving value. For example, the data on the roll phenomenon before processing is the value of the calendering tension. For example, the data of the roll phenomenon before processing is the displacement value of the calender roll. For example, the pre-processing roll phenomenon data includes a predetermined sampling period and a predetermined sampling time range. For example, the pre-processing roll phenomenon data includes an appropriate sampling period and an appropriate sampling time range for quantifying the calender roll-related phenomenon. As an example of a specific sampling period, when the vibration frequency of roll eccentricity is about 2 Hz when the data of roll eccentricity vibration is collected, the sampling frequency is set to quadruple in consideration of the 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 after the start of rolling, in the middle of rolling, and at the end of rolling. For example, an appropriate sampling time frame is set based on the location of the measurement site in the overall length of the material. For example, the positions of the measurement locations in the overall length of the material are the position of the front end in the overall length of the material, the position in the middle of the overall length of the material, the position of the rear end in the overall length of the material, and the like. The data extraction unit 2a transmits the pre-processing roll phenomenon data.

The data preprocessing unit 2b receives the preprocessing roll phenomenon data from the data extraction unit 2a. The data pre-processing unit 2b processes the pre-processed roll phenomenon data, and obtains the pre-processed roll phenomenon data. For example, the data preprocessing unit 2b performs filtering processing on the preprocessing roll phenomenon data. For example, the filter is a low pass filter or a high pass filter. Furthermore, the pre-processed roll phenomenon data and the pre-processed roll phenomenon data are collectively referred to as roll phenomenon data.

For example, the data quantification unit 3 is a PLC (Programmable Logic Controller). For example, the data quantification unit 3 is a DCS (Distributed Control System; distributed control system). For example, the data quantification unit 3 is a general-purpose computer. The data quantification unit 3 receives the preprocessed roll phenomenon data from the data collection unit 2 . data quantification The chemical unit 3 generates state quantification data by preprocessing the completed roll phenomenon data. The state quantification data is data obtained by quantifying the state of the calender 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 calculating means 3a calculates the basic statistic from the preprocessed roll phenomenon data which is the object of quantifying the data, and generates the state quantification data. Basic statistics are, for example, mean, median, difference between maximum and minimum values, standard deviation, or dispersion. The basic statistic calculation means 3a generates respective state quantification data for each of the various roll phenomenon data. The basic statistic calculation unit 3a generates state quantification data for each of the material 41 before rolling and the material 42 after rolling.

The data storage unit 4 is provided so as to be able to communicate with the data quantification unit 3 . The data storage unit 4 is provided so as to be able to communicate with the processing 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 reduction rolls. The data memory unit 4 stores state quantitative data. The data memory section stores and memorizes the quantitative data of the state received in the past. The data storage unit 4 receives the value and application condition data calculated by the processing computer 12 from the processing computer 12 . The data storage unit 4 includes a data storage unit 4a, a layered phenomenon record data readout unit 4b, and a layered phenomenon record database 4c. The data storage unit 4 generates layer-level phenomenon record data based on the application condition data and the stored data. For example, the recording data of the layer phenomenon is the data recorded by the layers, such as the roll ID, the chock of the backup roll, the manufacturing specifications such as the steel grade/dimension/temperature of the rolled material, and the rolling conditions. . In addition, the roll ID is a number which individually identifies a calender roll.

The data storage unit 4a, the layered phenomenon record data readout unit 4b, and the layered phenomenon record database 4c are provided in such a manner that they can communicate with each other, respectively.

The data storage unit 4 a receives the roll phenomenon data and the state quantitative data from the data quantitative unit 3 . The data memory unit 4a receives from the processing computer 12 the application condition data associated with the application of the roll. For example, the application condition data associated with the calendering roll are: roll ID, dunnage of the backup roll, manufacturing specifications such as steel grade/size/temperature of the rolled material, rolling conditions, and the like. For example, the data storage unit 4a stores data related to other application conditions and the like together with the roller ID as a key.

The layer phenomenon record data reading unit 4b reads out layer phenomenon record data based on an external request. The layer-level phenomenon record data reading unit 4b receives requests from other devices, and reads out layer-level phenomenon record data. The layer phenomenon record data reading unit 4b accepts requests from other devices, and reads out the application condition data for the same layer phenomenon record data. The layer phenomenon record data reading unit 4b accepts requests from other devices, and reads out the application condition data for similar layer phenomenon record data. For example, the layer phenomenon record data reading unit 4b reads out layer phenomenon record data based on a request from the processing computer 12 . The layer phenomenon record data is based on the data stored in the layer phenomenon record database 4c, using the roller ID as a key, and from the state quantification data and other related data such as application conditions that are associated with each other. Arbitrary items index the generated data by level.

The layered phenomenon record database 4c memorizes the data received by the data storage unit 4a and the acquisition time of the respective data as the layered phenomenon record data and assigns a joint relationship to memorize it.

The state determination unit 5 is provided so as to be able to communicate with the data storage unit 4 . The state determination unit 5 receives state quantification data from the data storage unit 4 . The state determination unit 5 reads out the layered phenomenon record data from the data storage unit 4 . The state judging section 5 judges the state mode of the calendering roll based on the quantified state data and the layered phenomenon record data related to the application condition data related to the specific calendering roll used for calendering. The application conditions for calendering are the same or similar. 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 judgment threshold value database and a state pattern database. For example, the state judgment threshold value database is one for each of the quantification data of the state, and lists the state judgment threshold values for judging whether the state is abnormal or not, and the state level which is the level of the state. transformed database. The state judgment threshold value is a value for judging whether or not the state of the roller is abnormal and the level of the state. For example, the state determination threshold value is set in advance. For example, the state determination threshold value is set in a semi-fixed manner. For example, the state determination threshold value is calculated based on the user 7's past experience and knowledge of the plant. For example, the state mode is set in advance. For example, the state mode is set in a semi-fixed manner. For example, the state pattern is calculated based on the user 7's past experience and knowledge of the factory.

The state determination unit 5b reads out, from the data memory 4, layered phenomenon record data about the same or similar application condition data as the application condition data when receiving the application condition data for a specific calender roll used for calendering. For example, when the state judging unit 5b receives the reduction roll ID and application conditions related to the state quantification data, it reads out the layered phenomenon record data about the reduction roll ID and application conditions from the data memory 4 . For example, when the state determination unit 5b receives the calender roll ID and the application conditions from the data storage unit 4, 4. Read out the record data of the layer phenomenon related to the ID of the calender roll and the application conditions. The state determination unit 5b compares the read out layer phenomenon record data with the data obtained from the state phenomenon database 5a, and determines the state level and state mode of the state quantification data. The state determination unit 5b determines whether the state of the roller is abnormal or not and its state level on the basis of the read layer phenomenon record data and the state determination threshold value obtained from the state phenomenon database 5a. The state judging unit 5b judges what kind of state mode it is with respect to the data item that touches the state judging threshold value and the combination of the state level thereof.

The recommended application method determination unit 6 is provided so as to be able to communicate with the data storage unit 4 . The recommended application method determination unit 6 is provided so as to be able to communicate with the state determination unit 5 . The recommended application method determination unit 6 receives, from the state determination unit 5 , the data item that touches the state determination threshold value and the state pattern determined by the state determination unit 5 . The recommended application method determination part 6 is to determine the recommended application method of the calender roll and the record data of the layer phenomenon. The recommended application method determination part 6 displays the recommended application method of the calender roll and the record data of the layer phenomenon on the outside. The recommended application method determination unit 6 presents the user 7 with the recommended application method of the calender roll and the record data of the layer phenomenon. The recommended application method determination unit 6 includes a recommended application method database 6a and a recommended application method determination unit 6b.

The recommended application method database 6a stores values for determining the recommended application method of the calender roll. For example, a value used to determine a recommended application method of the calender roll is a value used to determine a recommended application method for a combination of state patterns. The recommended application method is the application method recommended for the calender roll for the state mode. For example, the recommended application method is the avoidance of roll application by roll exchange. For example, the recommended application method is the change of the calendering conditions by the reduction of the roll load.

The recommended application method judging unit 6b obtains, from the state judging unit 5b, the layer-level phenomenon record data and the layer-level phenomenon record data related to the calender roll ID and the application conditions under the condition that the calender roll ID and the application conditions have been provided. Status mode. The recommended application method determination unit 6b obtains an appropriate recommended application method from the recommended application method database 6a for the received state pattern. The recommended application method determination unit 6b displays the recommended application method of the calender roll and the record data of the layer phenomenon on the outside. For example, the recommended application method determination unit 6b prompts the user 7 of the recommended application method of the calendering roll and the layer phenomenon record data. For example, the recommended application method determination unit 6b prompts the user 7 through the display on the display device. For example, the recommended application method determination unit 6b prompts the user 7 by the sound of the sound output device.

Next, an example of the processing performed by the data extraction unit 2 a after the start of rolling until the material 41 before rolling is rolled by the distance L will be described with reference to FIG. 3 .

3 is a diagram showing an example of a roll physical quantity signal, a material entry detection signal, a material separation detection signal, and a material full length measurement signal of the roll management device in Embodiment 1. FIG.

The graph on the uppermost layer is a graph showing the roll physical quantity signal. The graph of the second layer from the top is a graph showing the detection signal of material ingress. The graph of the third layer from the top is a graph showing the material detachment detection signal. The bottommost graph is a graph showing the measured signal over the full length of the material.

The time T0 is the time when the material has been bitten into the upper reduction roll 21 and the lower reduction roll 22 . The time T is the time when the material has been pressed by the length L amount. Time T1 is the time until the material 42 after rolling has been rolled from the front end to the position of L1. Time T2 is the time until the material 42 after rolling has been rolled from the front end to the position of L2.

For example, the data extraction unit 2a (not shown) cuts out the roll physical quantity signal according to the time range defined by the elapsed time after the calendering starts. Specifically, the data extraction unit 2a collects the roll phenomenon data on the upper calender roll 21 from the start of calendering to the distance L from the start of calendering by setting the time range for cutting to be from time T0 to time T. . The data extraction unit 2a collects the roll phenomenon data about the upper calender roll 21 from the start of calendering to the distance from the calendering to the distance L1 by setting the time range of cutting to be from time T0 to time T1.

For example, the data extraction unit 2a collects the roll phenomenon data of the rolling material 42 being calendered in an appropriate position from the position of the rolled material 42 . Specifically, the data extraction unit 2a refers to the full-length measurement signal of the material as a time sequence that matches the time range of the intermediate portions L1 to L2 of the rolled material 42, thereby obtaining the time range of time T1 to T2. 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 collects the data of the roll phenomenon when the rolled material 42 is rolled from L1 to L2.

Next, an example of the pre-processed roll phenomenon data and the pre-processed roll phenomenon data will be described with reference to FIG. 4 .

FIG. 4 is a graph showing an example of the pre-processed roll phenomenon data and the pre-processed roll phenomenon data of the roll management device in Embodiment 1. FIG.

The upper graph of FIG. 4 is a graph showing the pre-processing roll phenomenon data collected by the data extraction unit 2a regarding the vibration of the calender roll. The graph in the lower layer of FIG. 4 is a graph showing the pre-processed roll phenomenon data processed by the data pre-processing unit 2b. As shown in Figure 4, the processing front roll phenomenon data contains noise. The noise includes transient noise and large Rising low frequency noise. In the pre-processed roll phenomenon data, noise is removed by filter processing.

Next, an example of a layered phenomenon record database will be described using FIG. 5 .

FIG. 5 is a diagram showing an example of the hierarchical phenomenon record database of the roll management device in Embodiment 1. FIG.

As shown in FIG. 5 , in the layer phenomenon record data system, rolling material ID, roll ID, check ID, rolling material type, rolling material size, rolling conditions, data acquisition time, and state quantification data are recorded as items. . For example, in the layered phenomenon record data, such as data record 1, data record 2, and data record 3, the data is divided by the time of data acquisition, and the data is recorded in layers according to each item.

Next, an example of the state determination threshold value database will be described with reference to FIG. 6 .

FIG. 6 is a diagram showing an example of the state determination threshold value database of the roll management device in Embodiment 1. FIG.

As shown in FIG. 6 , in the state determination threshold value database, a plurality of state determination threshold values are set for each of the state quantification data. For example, in the example shown in FIG. 6 , when the state quantification data A is the threshold value X1, the state level becomes "level 1".

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

FIG. 7 is a diagram showing an example of the state pattern database of the roll management apparatus in Embodiment 1. FIG.

As shown in FIG. 7 , in the state mode database, the determined state mode is set according to each combination of the data item that touches the state determination threshold value and the state level thereof. For example, in the example shown in FIG. 7, when the data item that touches the state determination threshold value is state quantification data A and the state level is 2, and the data item that touches the state determination threshold value project When the state level is 2 for the state quantification data B, the state mode is determined as "possibility of state mode X".

Next, an example of the recommended application method database will be described with reference to FIG. 8 .

FIG. 8 is a diagram showing an example of a database of recommended application methods of the roll management apparatus in Embodiment 1. FIG.

As shown in FIG. 8 , an application method recommended for the determined state mode is set in the recommended application method database. 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 is "load reduction".

Next, the operation of the roll management device 1 will be described with reference to FIG. 9 .

FIG. 9 is a flowchart for explaining the outline of the operation of the roll management device in Embodiment 1. FIG.

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

In step S2, the data collection part 2 collects roll phenomenon data. After that, the data quantification unit 3 performs the operation of step S3.

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

In step S4, the data storage unit 4 stores state quantification data. Next, the data storage unit 4 reads out the layer-level phenomenon record data based on the input from the processing 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 calendering roll based on the layer phenomenon record data. After that, the recommended application method determination unit 6 performs the operation of step S6.

In step S6, the recommended application method determination unit 6 determines the recommended application method based on the state pattern. Then, the roll management apparatus 1 performs the operation|movement of step S7.

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

Next, an example of the roll management device 1 will be described using FIG. 10 .

FIG. 10 is a hardware configuration diagram of the roll management device in Embodiment 1. FIG.

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 is provided with 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 roller management device 1 is implemented by software, firmware, or a combination of software and firmware. At least one of software and firmware is described in terms of programs. At least one of software and firmware is stored in at least one memory 100b. The at least one processor 100a reads out and executes the programs stored in the at least one memory 100b, thereby realizing the various functions of the roll management device 1 . At least one processor 100a is also referred to as a central processing device, a processing device, an arithmetic device, a micro processor, a microcomputer, or a DSP (Digital Signal Processor; digital signal processor). For example, at least one memory 100b is RAM (Random Access Memory; Random Access Memory), ROM (Read Only Memory; Read Only Memory), flash memory (flash memory), EPROM (Erasable Programmable Read-Only Memory) ; Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory; Electrically Erasable Programmable Read-Only Memory), etc. Non-volatile or semi-volatile Conductor memory, magnetic disk, floppy disk (flexible disk), optical disk, compact disk (compact disk), minidisk (minidisk), DVD (Digital Versatile Disk; Digital Versatile Disc), etc.

In the case where the processing circuit has at least one dedicated hardware 200, the processing circuit is, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit; special Application of integrated circuit), FPGA (Field Programmable Gate Array; Field Programmable Gate Array), or a combination of these. For example, each function of the monitoring device 9 is realized by a processing circuit, respectively. For example, each function of the roll management device 1 is collectively realized by a processing circuit.

Some functions of the roll management device 1 may be realized by dedicated hardware 200, and other parts may be realized by software or firmware. For example, the function of the data collection unit 2 may be implemented as a processing circuit of the dedicated hardware 200, and the functions other than the function of the data collection unit 2 may be read out by at least one processor 100a that has been stored in at least one A program of the memory 100b is implemented and executed.

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

According to Embodiment 1 described above, the roll management device 1 presents a recommended application method to a specific reduction roll based on the state of the specific reduction roll. Therefore, calender rolls can be appropriately applied.

Moreover, the roll management apparatus 1 can suppress abnormality of a calender roll. Thus, the rolled material can be produced in a planned manner.

Moreover, the roll management apparatus 1 can suppress the breakage of a calender roll. Therefore, the influence on equipment other than the calender due to the failure of the calender can be reduced.

In addition, the roll management device 1 automatically quantifies data. Therefore, the user 7 does not need to perform data quantification operations.

In addition, the roll management device 1 records a plurality of data related to rolling. Therefore, the operation of integrating a plurality of data about the calendering is not required.

In addition, the roll management device 1 presents the recommended application method of the calender roll and the recording data of the layer phenomenon to the user 7 . Therefore, the user 7 can judge how the calender roll applied to the calender 11 should be applied to calendering based on his own experience and knowledge.

Moreover, the roll management apparatus 1 is equipped with the state determination threshold value database. Therefore, the determination accuracy for each rolling position can be improved.

In addition, the roll management device 1 quantifies the roll phenomenon data and generates state quantitative data. Therefore, the roll state can be grasped quantitatively.

In addition, the roll management apparatus 1 collects only the data of the time series corresponding to the necessary time range. Therefore, the amount of collected data can be reduced. As a result, shortening of data processing time, reduction in calculation load, and improvement in processing accuracy can be achieved. Thereby, a general-purpose computer can be used to process the data of the front roll phenomenon.

In addition, the roll management apparatus 1 collects the data of the roll phenomenon before processing at an appropriate sampling cycle. Therefore, the amount of collected data can be reduced. As a result, shortening of data processing time, reduction in calculation load, and improvement in processing accuracy can be achieved. Thereby, a general-purpose computer can be used to process the data of the front roll phenomenon.

In addition, the roll management device 1 collects the entirety of the roll phenomenon data before processing in an appropriate sampling time range. Therefore, a general-purpose computer can be used to process the data of the front roll phenomenon.

In addition, the roll management device 1 sets the front end in the full length of the material, the middle stage in the full length of the material, and the rear end in the full length of the material, respectively, as appropriate sampling time ranges. Therefore, the determination accuracy for each rolling position can be improved.

Furthermore, the roll management device 1 may not include the data quantification unit 3 . In this case, the data storage unit 4 receives the preprocessed roll phenomenon data from the data collection unit 2 . As a result, the roll management apparatus 1 determines the recommended application method of the calender roll based on the pre-processed roll phenomenon data.

Furthermore, although the description of Embodiment 1 has exemplified a method of collecting data in a time sequence that matches the time range required by the data extraction unit 2a, other means that can obtain an appropriate time sequence may be substituted.

In addition, the roll management device 1 applies a filter to the pre-processed roll phenomenon data, thereby generating the pre-processed roll phenomenon data. Therefore, it is possible to shorten the data processing time, reduce the calculation load, and improve the processing accuracy.

Furthermore, in the execution of the data collection means for processing the data of the front roller phenomenon, data cleansing such as filling of missing data or standardization of different data styles can also be performed.

Furthermore, the roll management device 1 may not perform filtering processing and data cleaning on the roll phenomenon data before processing.

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

In addition, although the upper side reduction roll 21 was demonstrated as the object of management, you may make the lower side reduction roll 22 the object of management. In this case, the roll physical quantity sensor 31 only needs to measure the physical quantity related to the lower calender roll 22 .

In addition, although the upper side reduction roll 21 was demonstrated as the object of management, you may make both the upper side reduction roll 21 and the lower side reduction roll 22 the object of management. In this case, the roll physical quantity sensor 31 only needs to measure the physical quantities of the upper calender roll 21 and the lower calender roll 22, respectively.

Furthermore, when reading data related to the application conditions provided by the recommended application method determination unit 6b for determining the recommended application method from the data storage unit 4, it is also possible to read out the data items that match all the data items constituting the application conditions. material.

Furthermore, when the data related to the application conditions provided by the recommended application method determination unit 6b for determining the recommended application method are read out from the data storage unit 4, data corresponding to a part of the data items may be read out.

[implementation type 2]

FIG. 11 is a configuration diagram of a roll management device in Embodiment 2. FIG. In addition, the same code|symbol is attached|subjected to the part which is the same as Embodiment 1 or a corresponding 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 phenomenon data, which is the object of data quantification, and converts it into data of a frequency region such as the signal intensity of each frequency component. The frequency analysis unit 3b generates state quantification data based on the converted frequency region data. For example, the so-called frequency analysis refers to the Fourier transform, discrete Fourier transform, wavelet transform that converts the roll phenomenon data expressed in the time domain into the data expressed in the frequency domain such as the signal intensity of each frequency component. ) and other known analytical methods.

According to Embodiment 2 described above, it is possible to generate state quantification data that quantifies how much of which frequency component is included in the roll phenomenon data. Therefore, it is possible to increase the types of state quantification data items that are the objects of state determination. As a result, the specification accuracy of the state pattern can be improved. Furthermore, useful recommended usage methods and judgment basis materials can be presented to the user 7 .

[implementation type 3]

FIG. 12 is a configuration diagram of a roll management device in Embodiment 3. FIG. In addition, the same code|symbol is attached|subjected to the part which is the same as Embodiment 2 or a corresponding part. The description of this part is omitted.

The data quantification unit 3 in the third embodiment includes a data model estimation unit 3c. The data model estimating means 3c analyzes the preprocessed roll phenomenon data, which is an object of data quantification, and generates state quantification data by analyzing it based on the data model. The data model refers to a known model such as a probability density function model, an autoregressive model, or a neural network model.

According to the above-described Embodiment 3, the parameters of the data model can be used as quantitative means. Therefore, it is possible to increase the types of state quantification data items that are the objects of state determination. As a result, the specification accuracy of the state pattern can be improved. Furthermore, useful recommended usage methods and judgment basis materials can be presented to the user 7 .

Furthermore, the quantification unit 3 in the third embodiment may not include the frequency analysis unit 3b.

[implementation 4]

FIG. 13 is a configuration diagram of a roll management device in Embodiment 4. FIG. In addition, the same code|symbol is attached|subjected to the part which is the same as Embodiment 3 or a corresponding part. The description of this part is omitted.

The data quantification part 3 in this Embodiment 4 is provided with the quantification data manual input means 3d. The quantitative data manual input unit 3d accepts the input of externally quantitative data. For example, the data quantified externally is the data quantified by the user 7 based on his own experience and knowledge. Specifically, the data that has been quantified externally are data based on events and the like that have been discovered by an operator. For example, the data based on the events that the operator has discovered are: rolling instability events such as meandering and horizontal deviation of the material that occur during rolling; rolling failure events such as product defects and poor shape of the product; materials and rolling Calendering equipment status events such as roll collisions, calender roll status vibrations, calender roll overloads, and calender roll defects; or the number of occurrences, evaluation points, or both occurrences and evaluation points.

According to Embodiment 4 described above, the data that has been quantified externally are accepted. Therefore, it is possible to increase the types of state quantification data items that are the objects of state determination. As a result, the specification accuracy of the state pattern can be improved. Furthermore, useful recommended usage methods and judgment basis materials can be presented to the user 7 .

Furthermore, the data quantification unit 3 in the fourth embodiment may not include the frequency analysis unit 3b.

Furthermore, the data quantification unit 3 in the fourth embodiment may not include the data model estimation unit 3c.

[implementation type 5]

FIG. 14 is a block diagram of the roll management apparatus in Embodiment 5. FIG. In addition, the same code|symbol is attached|subjected to the part which is the same as Embodiment 1 or a corresponding part. The description of this part is omitted.

The state determination part 5 in this Embodiment 5 is provided with the state determination threshold value calculation means 5c.

The state determination threshold value calculating means 5c dynamically calculates the state determination threshold value from the state quantification data. The state determination threshold value calculating means 5c sets the calculated state determination threshold value. For example, the state determination threshold value calculating means 5c calculates the state determination threshold value by applying the Hotelling theory or the like to the state quantification data related to the reduction roll ID when the reduction roll ID and application conditions are provided. method. As a result, the state determination threshold value calculating means 5c dynamically calculates the state determination threshold value.

According to Embodiment 5 described above, the state determination threshold value can be dynamically calculated by the state determination threshold value calculation means 5c. Therefore, when an unexpected situation or the like has occurred, the state determination unit 5 can change the state determination threshold value according to the situation. As a result, the specification accuracy of the state pattern can be improved. Furthermore, useful recommended usage methods and judgment basis materials can be presented to the user 7 .

[implementation 6]

FIG. 15 is a block diagram of the roll management apparatus in Embodiment 6. FIG. In addition, the same code|symbol is attached|subjected to the part which is the same as Embodiment 5 or an equivalent part. The description of this part is omitted.

The state determination part 5 in this Embodiment 6 is provided with the state determination logic (logic) estimation means 5d.

The state determination logic estimating unit 5d constructs a causal relationship model by recording data and application conditions from the calender roll ID and layer phenomenon. The state determination logic estimating unit 5d compares the constructed causal relationship model with the application condition data of the pressing time, and sets the logic for determining the state mode. For example, the causal relationship model is a non-statistical causal relationship model such as a statistical causal relationship model, a decision tree, and a neural network. The state determination logic estimating unit 5d is based on the causal relationship model to determine the combination of the data item and the state level of the data item touching the state determination threshold value to set the logic used to determine the state mode. The state determination unit 5 determines the state mode based on this logic.

According to Embodiment 6 described above, the state determination unit 5 determines the state mode based on the logic. Therefore, the specification accuracy of the state pattern can be improved. Furthermore, useful recommended usage methods and judgment basis materials can be presented to the user 7 .

In addition, the state determination part 5 in this Embodiment 6 may not be provided with the state determination threshold value calculation means 5c.

[Variation example]

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 can also estimate the recommended application method in the application condition of the reduction roll ID based on the state pattern in the application condition of the other reduction roll ID.

When a certain calendering roll ID and application condition have been provided, the recommended application method determination unit 6b uses the application condition as a key regardless of the calendering roll ID, to obtain layer-level phenomenon record data and state judgment about the application condition The device executes processing and determines the state mode of the layered phenomenon record data.

For example, when a certain calendering roll ID and application condition are provided, the recommended application method judging unit 6b obtains the same level phenomenon record data as the application condition regardless of the calendering roll ID, and the state judging means for the level The state mode after the phenomenon record data is processed and judged. Specifically, the recommended application method determination unit 6b obtains a soft material that has been related to another calender roll when a soft material and a wide material are calendered with a certain calender roll. The record data of the layer phenomenon after the material and the wide material are calendered, and the state mode after the state determination device processes and judges the record data of the layer phenomenon.

For example, when a certain calendering roll ID and application condition have been provided, the recommended application method judging unit 6b obtains the record data of the layer phenomenon similar to the application condition regardless of the calendering roll ID, and the state judging means for the layer The state mode after the phenomenon record data is processed and judged. The recommended application method determination unit 6b obtains the result of calendering a wide-width material regardless of the hardness of the material related to the other calendering rolls in the case of calendering a soft material and a wide-width material with a certain calendering roll. The level phenomenon record data of the situation, and the state mode after the state determination device processes and judges the level phenomenon record data.

According to the modified example described above, the recommended application method determination unit 6b obtains the state pattern regardless of the reduction roll ID. Therefore, as long as the roll management device 1 is data concerning the same rolling conditions, it is possible to determine the recommended application method. As a result, the roll management device 1 can perform a wide range of determinations, and the determination accuracy can be improved.

[Embodiment 7]

FIG. 16 is a configuration diagram of a roll management device in Embodiment 7. FIG. In addition, the same code|symbol is attached|subjected to the part which is the same as Embodiment 1 or a corresponding part. The description of this part is omitted.

The state determination unit 5 in the seventh embodiment includes state occurrence prediction means 5e.

The state occurrence prediction unit 5e sends the data of the state pattern based on the inference based on the previous knowledge to the recommended application method determination unit 6 . Specifically, when the following inferences are made based on the prior knowledge, the recommended application method determination unit 6 performs the following operations. X in application Condition: In the case where the state mode has occurred under A, the same state mode may still occur under different calender roll ID: Y and different application conditions: B". The recommended application method determination unit 6 is to obtain the state pattern related to the reduction roll ID: Y and the application condition: B when the state pattern: P has occurred under the reduction roll ID: X and the application condition: A. A state pattern will occur: The data of the estimated state pattern of P is sent to the recommended application method determination unit 6 .

According to Embodiment 7 described above, the roll management apparatus 1 performs the determination of the recommended application method based on the inference based on the prior knowledge that represents the inference. Therefore, regarding a certain calender roll ID and a certain application condition, even if the state mode has not been determined in the past, it is still possible to determine the recommended application method.

1: Roll management device

2: Data Collection Department

2a: Data extraction unit

2b: Data preprocessing unit

3: Data Quantification Department

3a: Basic statistics calculation unit

4: Data Memory Department

4a: Data memory unit

4b: Layer phenomenon record data readout unit

4c: Layer Phenomenon Record Database

5: Status determination section

5a: State Phenomenon Database

5b: Status determination unit

6: Recommended application method determination section

6a: Repository of Recommended Application Methods

6b: Recommended application method determination unit

7: User

11: Calender

12: Dealing with the computer

21: Upper calender roll

22: Lower calender roll

Claims (17)

A roll management device comprising: The data collection department collects data about the physical quantities of a plurality of calendering rolls during calendering and the application conditions of calendering; The data memory section stores the data of physical quantities and application conditions of rolling that have been collected by the aforementioned data collection section until the previous rolling time; The state determination unit reads out the physical quantities associated with the application condition data for calendering stored in the data memory unit that is the same as or similar to the application condition data for calendering of a specific calender roll used for calendering, and based on the aforementioned correlation to determine the state of the aforesaid specific calender roll; and The recommended application method determination unit presents a recommended application method to the specific reduction roll based on the state of the specific reduction roll determined by the state determination section. The roll management device according to claim 1, wherein the state determination unit is for the calendering of the specific calendering roll stored in the data memory section which is the same as or similar to the application condition data of the calendering of the specific calendering roll According to the application condition data, the associated physical quantities are read out, and the state of the specific calender roll is determined based on the aforementioned associated physical quantities. The roll management device according to claim 1, wherein the state determination section is for the calendering of other calendering rolls stored in the data memory section which is the same as or similar to the application condition data for calendering of the specific calendering roll. The condition data is applied, the associated physical quantity is read out, and the state of the aforementioned specific reduction roll is determined based on the aforementioned associated physical quantity. The roll management device according to any one of claims 1 to 3, wherein the data collection unit collects the physical quantities based on a sampling period determined in advance. The roll management device according to any one of claims 1 to 3, wherein the data collection unit collects the physical quantities based on a predetermined sampling time range. The roll management device according to any one of claims 1 to 3, wherein the data collection section performs filtering or cleaning processing on the collected physical quantities of the plurality of calender rolls during calendering. The roll management device according to any one of claims 1 to 3, wherein the data storage unit stores a plurality of physical quantities and a plurality of calendered application condition data in a time-series order and layer by layer according to each calendered material ; The state determination unit reads out the application condition data for the roll ID of the specific reduction roll stored in the data memory section that is the same as or similar to the application condition data for the specific reduction roll. The physical quantities of the above-mentioned specific calender rolls are determined based on the above-mentioned related physical quantities. The roll management device according to any one of claims 1 to 3, wherein the data storage unit stores a plurality of physical quantities and a plurality of calendered application condition data in a time-series order and layer by layer according to each calendered material ; The state determination unit constructs a causal relationship model with respect to the plurality of physical quantities and the plurality of calendered application condition data stored in the data memory unit; The state of the specific calendering roll is determined by comparing the application condition data of the calendering of the specific calendering roll with the causal relationship model. The roll management device according to any one of claims 1 to 3, comprising: a data quantification unit that generates state quantification data obtained by quantifying the physical quantities; The data storage unit stores the state quantification data generated by the data quantification unit until the previous pressing time; The aforementioned state judging unit reads out the associated state quantification data for the calendering application condition data stored in the aforementioned data storage unit that is the same as or similar to the aforementioned calendering application condition data for the aforementioned specific calendering roll, and based on the aforementioned correlation The linked state quantitative data is used to determine the state of the aforementioned specific calender roll. The roll management apparatus according to claim 9, wherein the data quantification unit quantifies the physical quantity by using basic statistics to generate state quantification data. The roll management device according to claim 9, wherein the data quantification unit quantifies the physical quantity by frequency analysis to generate state quantification data. The roll management device according to claim 9, wherein the data quantification unit analyzes the physical quantities based on a data model to generate state quantification data. The roll management device according to claim 9, wherein the state determination unit includes a state determination threshold value database for recording a state determination threshold value for determining the specific state for the state quantitative data. The threshold value of the state of the calender roll. The roll management apparatus according to claim 13, wherein the state determination unit dynamically calculates the threshold value. The roll management apparatus according to claim 9, wherein the state determination section is based on the associated roll ID for the rolling application condition data stored in the data memory section for the roll ID that is the same as the roll ID of the specific rolling roll. Quantitative state data to determine the state level of the calender roll when it is applied; The recommended application method determination unit determines the recommended application method for the specific calender roll based on the state level determined by the state determination unit. The roll management apparatus according to claim 9, wherein the state determination unit determines the state of the specific reduction roll based on state quantitative data input from the outside. The roll management apparatus according to any one of claims 1 to 3, wherein the state determination section determines the state of the specific reduction roll based on an inference based on prior knowledge.

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